diff --git a/.autocorrectrc b/.autocorrectrc new file mode 100644 index 000000000000..3ae4e47a01b9 --- /dev/null +++ b/.autocorrectrc @@ -0,0 +1,24 @@ +rules: + # Default rules: https://github.com/huacnlee/autocorrect/raw/main/autocorrect/.autocorrectrc.default + spellcheck: 1 +textRules: + # Config some special rule for some texts + # For example, if we wants to let "Hello你好" just warning, and "Hi你好" to ignore + # "Hello你好": 2 + # "Hi你好": 0 +fileTypes: + # Config the files associations, you config is higher priority than default. + # "rb": ruby + # "Rakefile": ruby + # "*.js": javascript + # ".mdx": markdown +spellcheck: + words: + # Please do not add a general English word (eg. apple, python) here. + # Users can add their special words to their .autocorrectrc file by their need. + - Digital Ocean = DigitalOcean + - JucieFS = JuiceFS + - JueicFS = JuiceFS + - JuiecFS = JuiceFS + - filesystem = file system + - mountpoint = mount point diff --git a/.github/workflows/check-doc.yaml b/.github/workflows/check-doc.yaml new file mode 100644 index 000000000000..e750dedb3ac8 --- /dev/null +++ b/.github/workflows/check-doc.yaml @@ -0,0 +1,45 @@ +name: Check document + +on: + push: + branches: [main] + paths: + - 'docs/**' + - 'package.json' + - '.autocorrectrc' + - '.markdownlint-cli2.jsonc' + - '.github/workflows/check-doc.yaml' + pull_request: + branches: [main] + paths: + - 'docs/**' + - 'package.json' + - '.autocorrectrc' + - '.markdownlint-cli2.jsonc' + - '.github/workflows/check-doc.yaml' + +jobs: + check-doc: + name: Check document + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v3 + - name: Use Node.js + uses: actions/setup-node@v3 + with: + node-version: '16.x' + cache: 'npm' + - name: Install dependencies + run: | + npm ci + - name: Lint Markdown files (markdownlint) + run: | + npm run markdown-lint + - name: Lint Markdown files (autocorrect) + uses: huacnlee/autocorrect-action@main + with: + args: --lint ./docs/ + - name: Check broken link (including broken anchor) + run: | + npm run check-broken-link diff --git a/.gitignore b/.gitignore index e84690957007..88aa9df399b1 100644 --- a/.gitignore +++ b/.gitignore @@ -27,3 +27,4 @@ cmd/cmd *.out .hypothesis __pycache__ +/node_modules diff --git a/.markdownlint-cli2.jsonc b/.markdownlint-cli2.jsonc new file mode 100644 index 000000000000..4b6052cc0160 --- /dev/null +++ b/.markdownlint-cli2.jsonc @@ -0,0 +1,177 @@ +{ + "customRules": [ + "markdownlint-rule-enhanced-proper-names/src/enhanced-proper-names.js", + "markdownlint-rule-no-trailing-slash-in-links/src/no-trailing-slash-in-links.js" + ], + "config": { + "default": true, + "first-heading-h1": false, + "heading-style": { + "style": "atx" + }, + "ul-style": false, + "no-hard-tabs": { + "spaces_per_tab": 4 + }, + "line-length": false, + "no-duplicate-heading": { + "allow_different_nesting": true + }, + "no-inline-html": { + "allowed_elements": [ + "Badge", + "TabItem", + "Tabs", + "a", + "br", + "div", + "img", + "kbd", + "p", + "span", + "sup" + ] + }, + "fenced-code-language": false, + "first-line-heading": false, + "no-alt-text": false, + "code-block-style": { + "style": "fenced" + }, + "code-fence-style": { + "style": "backtick" + }, + "link-fragments": false, + "no-trailing-slash-in-links": true, + "enhanced-proper-names": { + "code_blocks": false, + "html_elements": false, + "heading_id": false, + "names": [ + "ACL", + "AI", + "API", + "ARM", + "ARM64", + "AWS", + "Amazon", + "Ansible", + "Apache", + "Azure", + "BSD", + "BadgerDB", + "CDH", + "CPU", + "CSI Driver", + "CSI", + "CentOS", + "Ceph", + "CephFS", + "ClickHouse", + "Cloud SQL", + "Colab", + "Consul", + "Debian", + "DevOps", + "DistCp", + "Docker Compose", + "Docker", + "Dockerfile", + "Doris", + "ECI", + "Elasticsearch", + "FTP", + "FUSE", + "Flink", + "Fluid", + "FoundationDB", + "GCC", + "GID", + "Git", + "GitHub", + "Google", + "Grafana", + "Graphite", + "HBase", + "HDFS", + "HDP", + "HTTP", + "HTTPS", + "Hadoop", + "Hive Metastore", + "Hive", + "Hudi", + "IAM", + "ID", + "IOPS", + "IP", + "Iceberg", + "JAR", + "JDK", + "JSON", + "Java", + "JuiceFS", + "JuiceFSRuntime", + "Juicedata", + "K8s", + "Kerberos", + "KeyDB", + "Kubernetes", + "LDAP", + "LZ4", + "Linux", + "M1", + "MariaDB", + "Maven", + "MinIO", + "MySQL", + "NFS", + "POSIX", + "PV", + "PVC", + "PostgreSQL", + "PowerShell", + "Prometheus", + "Pushgateway", + "Python", + "QPS", + "QoS", + "RADOS", + "RESTful", + "RGW", + "RPC", + "Raft", + "Ranger", + "Redis", + "S3", + "SDK", + "SFTP", + "SID", + "SMB", + "SQL", + "SQLite", + "SSH", + "Samba", + "Scala", + "Spark", + "StarRocks", + "ThriftServer", + "TiKV", + "UID", + "UUID", + "Ubuntu", + "Unix", + "VFS", + "WebDAV", + "WinFsp", + "Windows", + "YAML", + "YARN", + "Zstandard", + "etcd", + "macFUSE", + "macOS" + ] + } + } +} diff --git a/README_CN.md b/README_CN.md index 4a4285b429c2..0e3876b92be7 100644 --- a/README_CN.md +++ b/README_CN.md @@ -11,7 +11,7 @@ JuiceFS 是一款高性能 [POSIX](https://en.wikipedia.org/wiki/POSIX) 文件 JuiceFS 可以简单便捷的将海量云存储直接接入已投入生产环境的大数据、机器学习、人工智能以及各种应用平台，无需修改代码即可像使用本地存储一样高效使用海量云端存储。 -📺 **视频**：[什么是 JuiceFS?](https://www.bilibili.com/video/BV1HK4y197va/) +📺 **视频**：[什么是 JuiceFS?](https://www.bilibili.com/video/BV1HK4y197va) 📖 **文档**：[快速上手指南](https://juicefs.com/docs/zh/community/quick_start_guide) diff --git a/docs/en/administration/fault_diagnosis_and_analysis.md b/docs/en/administration/fault_diagnosis_and_analysis.md index d6fa79749ba6..ff53a5be5a3b 100644 --- a/docs/en/administration/fault_diagnosis_and_analysis.md +++ b/docs/en/administration/fault_diagnosis_and_analysis.md @@ -4,7 +4,6 @@ sidebar_position: 5 slug: /fault_diagnosis_and_analysis description: This article describes how to view and interpret logs in various operating systems for JuiceFS FUSE, CSI Driver, Hadoop Java SDK S3 gateway, S3 gateway clients. --- -# Fault Diagnosis and Analysis import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; @@ -100,7 +99,7 @@ Different JuiceFS clients obtain access log in different ways, which are describ There is a virtual file named `.accesslog` in the root directory of the JuiceFS file system mount point, the contents of which can be viewed by the `cat` command (the command will not exit), for example (assuming the root directory of the mount point is `/jfs`): ```bash -$ cat /jfs/.accesslog +cat /jfs/.accesslog ``` ```output @@ -111,7 +110,7 @@ $ cat /jfs/.accesslog ### Kubernetes CSI Driver -Please refer to [CSI Driver documentation](https://juicefs.com/docs/csi/troubleshooting) to find the mount pod or CSI driver pod depending on the version of JuiceFS CSI Driver you are using, and the `.accesslog` file can be viewed in the root directory of the JuiceFS file system mount point in the pod. The mount point path in the pod is `/jfs/`. Assuming there is a mount pod named as `juicefs-1.2.3.4-pvc-d4b8fb4f-2c0b-48e8-a2dc-530799435373`, in which `pvc-d4b8fb4f-2c0b-48e8-a2dc-530799435373` is ``, you can then use the following command to view the `.accesslog` file: +Please refer to [CSI Driver documentation](https://juicefs.com/docs/csi/troubleshooting) to find the mount pod or CSI Driver pod depending on the version of JuiceFS CSI Driver you are using, and the `.accesslog` file can be viewed in the root directory of the JuiceFS file system mount point in the pod. The mount point path in the pod is `/jfs/`. Assuming there is a mount pod named as `juicefs-1.2.3.4-pvc-d4b8fb4f-2c0b-48e8-a2dc-530799435373`, in which `pvc-d4b8fb4f-2c0b-48e8-a2dc-530799435373` is ``, you can then use the following command to view the `.accesslog` file: ```bash kubectl -n kube-system exec juicefs-chaos-k8s-002-pvc-d4b8fb4f-2c0b-48e8-a2dc-530799435373 -- cat /jfs/pvc-d4b8fb4f-2c0b-48e8-a2dc-530799435373/.accesslog @@ -125,7 +124,6 @@ You need to add the [`--access-log` option](../reference/command_reference.md#ju You need to add the `juicefs.access-log` configuration item in the [client configurations](../deployment/hadoop_java_sdk.md#other-configurations) of the JuiceFS Hadoop Java SDK to specify the path of the access log output, and the access log is not output by default. - ## Runtime information By default, JuiceFS clients will listen to a TCP port locally via [pprof](https://pkg.go.dev/net/http/pprof) to get runtime information such as Goroutine stack information, CPU performance statistics, memory allocation statistics. You can see the specific port number that the current JuiceFS client is listening on by using the system command (e.g. `lsof`): @@ -135,7 +133,7 @@ If you mount JuiceFS as the root user, you need to add `sudo` before the `lsof` ::: ```bash -$ lsof -i -nP | grep LISTEN | grep juicefs +lsof -i -nP | grep LISTEN | grep juicefs ``` ```output @@ -150,18 +148,21 @@ By default, pprof listens on port numbers ranging from 6060 to 6099. That's why - CPU performance statistics: `http://localhost:/debug/pprof/profile?seconds=30` - Memory allocation statistics: `http://localhost:/debug/pprof/heap` - + :::tip You can also use the debug command to automatically collect these runtime information and save it locally. By default, it is saved to the debug directory under the current directory, for example: + ```bash juicefs debug /mnt/jfs ``` + For more information about the debug command, see [command reference](https://juicefs.com/docs/community/command_reference#juicefs-debug) ::: To make it easier to analyze this runtime information, you can save it locally, e.g.: ```bash -$ curl 'http://localhost:/debug/pprof/goroutine?debug=1' > juicefs.goroutine.txt +curl 'http://localhost:/debug/pprof/goroutine?debug=1' > juicefs.goroutine.txt ``` ```bash diff --git a/docs/en/administration/metadata/_mysql_best_practices.md b/docs/en/administration/metadata/_mysql_best_practices.md index f0f686080599..a09c1395e809 100644 --- a/docs/en/administration/metadata/_mysql_best_practices.md +++ b/docs/en/administration/metadata/_mysql_best_practices.md @@ -4,4 +4,4 @@ sidebar_position: 2 --- # MySQL Best Practices -Working in progress. \ No newline at end of file +Working in progress. diff --git a/docs/en/administration/metadata/_tikv_best_practices.md b/docs/en/administration/metadata/_tikv_best_practices.md index 0a9cc13db08f..52901d184d86 100644 --- a/docs/en/administration/metadata/_tikv_best_practices.md +++ b/docs/en/administration/metadata/_tikv_best_practices.md @@ -2,4 +2,4 @@ sidebar_label: TiKV sidebar_position: 3 --- -# TiKV Best Practices \ No newline at end of file +# TiKV Best Practices diff --git a/docs/en/administration/metadata/postgresql_best_practices.md b/docs/en/administration/metadata/postgresql_best_practices.md index ff2b5c5c2bb1..43bc8e84fc91 100644 --- a/docs/en/administration/metadata/postgresql_best_practices.md +++ b/docs/en/administration/metadata/postgresql_best_practices.md @@ -45,7 +45,7 @@ It is recommended to make a plan for regularly backing up your database, and at ## Using connection pooler -Connection pooler is a middleware that works between client and database and reuses the earlier connection from the pool, which improve connection efficiency and reduce the loss of short connections. Commonly used connection poolers are [PgBouncer](https://www.pgbouncer.org/) and [Pgpool-II](https://www.pgpool.net/). +Connection pooler is a middleware that works between client and database and reuses the earlier connection from the pool, which improve connection efficiency and reduce the loss of short connections. Commonly used connection poolers are [PgBouncer](https://www.pgbouncer.org) and [Pgpool-II](https://www.pgpool.net). ## High Availability diff --git a/docs/en/administration/metadata/redis_best_practices.md b/docs/en/administration/metadata/redis_best_practices.md index ffcb5c68a320..4d7773af0ecb 100644 --- a/docs/en/administration/metadata/redis_best_practices.md +++ b/docs/en/administration/metadata/redis_best_practices.md @@ -4,6 +4,8 @@ sidebar_position: 1 slug: /redis_best_practices --- +import Badge from '@site/src/components/Badge'; + # Redis Best Practices Redis is a key component in JuiceFS architecture. It stores all file system metadata and serve metadata operation from client. If any problem occurs to Redis (e.g., unavailable service, losing data), it will directly reduce the read/write speed or cause data damage, and further affect user experience. @@ -37,7 +39,7 @@ used_memory_dataset: 13439673592 used_memory_dataset_perc: 70.12% ``` -Among them, `used_memory_rss` is the total memory size actually used by Redis, which includes not only the size of data stored in Redis (that is, `used_memory_dataset` above) but also some Redis [system overhead](https://redis.io/commands/memory-stats) (that is, `used_memory_overhead` above). As mentioned earlier that the metadata of each file occupies about 300 bytes, this is actually calculated by `used_memory_dataset`. If you find that the metadata of a single file in your JuiceFS file system occupies much more than 300 bytes, you can try to run [`juicefs gc`](../../reference/command_reference.md#juicefs-gc) command to clean up possible redundant data. +Among them, `used_memory_rss` is the total memory size actually used by Redis, which includes not only the size of data stored in Redis (that is, `used_memory_dataset` above) but also some Redis [system overhead](https://redis.io/commands/memory-stats) (that is, `used_memory_overhead` above). As mentioned earlier that the metadata of each file occupies about 300 bytes, this is actually calculated by `used_memory_dataset`. If you find that the metadata of a single file in your JuiceFS file system occupies much more than 300 bytes, you can try to run [`juicefs gc`](../../reference/command_reference.md#gc) command to clean up possible redundant data. ## High availability @@ -100,12 +102,12 @@ Redis provides various options for [persistence](https://redis.io/docs/manual/pe - **RDB**: The RDB persistence performs point-in-time snapshots of your dataset at specified intervals. - **AOF**: The AOF persistence logs every write operation received by the server, which will be played again at server startup, meaning that the original dataset will be reconstructed each time server is restarted. Commands are logged using the same format as the Redis protocol in an append-only fashion. Redis is able to rewrite logs in the background when it gets too big. -- **RDB+AOF** Recommended: It is possible to combine AOF and RDB in the same instance. Notice that, in this case, when Redis restarts the AOF file will be used to reconstruct the original dataset since it is guaranteed to be the most complete. +- **RDB+AOF** Recommended: It is possible to combine AOF and RDB in the same instance. Notice that, in this case, when Redis restarts the AOF file will be used to reconstruct the original dataset since it is guaranteed to be the most complete. When using AOF, you can have different fsync policies: 1. No fsync -2. fsync every second Default +2. fsync every second Default 3. fsync at every query With the default policy of fsync every second write performance is good enough (fsync is performed using a background thread and the main thread will try hard to perform writes when no fsync is in progress.), **but you may lose the writes from the last second**. @@ -148,7 +150,6 @@ After recovering Redis data, you can continue to use the JuiceFS file system via [Amazon ElastiCache for Redis](https://aws.amazon.com/elasticache/redis) is a fully managed, Redis-compatible in-memory data store built for the cloud. It provides [automatic failover](https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/AutoFailover.html) and [automatic backup](https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/backups-automatic.html) features to ensure availability and durability. - ### Google Cloud Memorystore for Redis [Google Cloud Memorystore for Redis](https://cloud.google.com/memorystore/docs/redis) is a fully managed Redis service for the Google Cloud. Applications running on Google Cloud can achieve extreme performance by leveraging the highly scalable, available, secure Redis service without the burden of managing complex Redis deployments. @@ -171,11 +172,11 @@ If you want to use a Redis compatible product as the metadata engine, you need t ### Redis data types used by JuiceFS -+ [String](https://redis.io/docs/data-types/strings/) -+ [Set](https://redis.io/docs/data-types/sets/) -+ [Sorted Set](https://redis.io/docs/data-types/sorted-sets/) -+ [Hash](https://redis.io/docs/data-types/hashes/) -+ [List](https://redis.io/docs/data-types/lists/) ++ [String](https://redis.io/docs/data-types/strings) ++ [Set](https://redis.io/docs/data-types/sets) ++ [Sorted Set](https://redis.io/docs/data-types/sorted-sets) ++ [Hash](https://redis.io/docs/data-types/hashes) ++ [List](https://redis.io/docs/data-types/lists) ### Redis features used by JuiceFS @@ -185,78 +186,78 @@ If you want to use a Redis compatible product as the metadata engine, you need t #### String -+ [DECRBY](https://redis.io/commands/decrby/) -+ [DEL](https://redis.io/commands/del/) -+ [GET](https://redis.io/commands/get/) -+ [INCR](https://redis.io/commands/incr/) -+ [INCRBY](https://redis.io/commands/incrby/) -+ [DECR](https://redis.io/commands/decr/) -+ [MGET](https://redis.io/commands/mget/) -+ [MSET](https://redis.io/commands/mset/) -+ [SETNX](https://redis.io/commands/setnx/) -+ [SET](https://redis.io/commands/set/) ++ [DECRBY](https://redis.io/commands/decrby) ++ [DEL](https://redis.io/commands/del) ++ [GET](https://redis.io/commands/get) ++ [INCR](https://redis.io/commands/incr) ++ [INCRBY](https://redis.io/commands/incrby) ++ [DECR](https://redis.io/commands/decr) ++ [MGET](https://redis.io/commands/mget) ++ [MSET](https://redis.io/commands/mset) ++ [SETNX](https://redis.io/commands/setnx) ++ [SET](https://redis.io/commands/set) #### Set -+ [SADD](https://redis.io/commands/sadd/) -+ [SMEMBERS](https://redis.io/commands/smembers/) -+ [SREM](https://redis.io/commands/srem/) ++ [SADD](https://redis.io/commands/sadd) ++ [SMEMBERS](https://redis.io/commands/smembers) ++ [SREM](https://redis.io/commands/srem) #### Sorted Set -+ [ZADD](https://redis.io/commands/zadd/) -+ [ZRANGEBYSCORE](https://redis.io/commands/zrangebyscore/) -+ [ZRANGE](https://redis.io/commands/zrange/) -+ [ZREM](https://redis.io/commands/zrem/) -+ [ZSCORE](https://redis.io/commands/zscore/) ++ [ZADD](https://redis.io/commands/zadd) ++ [ZRANGEBYSCORE](https://redis.io/commands/zrangebyscore) ++ [ZRANGE](https://redis.io/commands/zrange) ++ [ZREM](https://redis.io/commands/zrem) ++ [ZSCORE](https://redis.io/commands/zscore) #### Hash -+ [HDEL](https://redis.io/commands/hdel/) -+ [HEXISTS](https://redis.io/commands/hexists/) -+ [HGETALL](https://redis.io/commands/hgetall/) -+ [HGET](https://redis.io/commands/hget/) -+ [HINCRBY](https://redis.io/commands/hincrby/) -+ [HINCRBY](https://redis.io/commands/hincrby/) -+ [HKEYS](https://redis.io/commands/hkeys/) -+ [HSCAN](https://redis.io/commands/hscan/) -+ [HSETNX](https://redis.io/commands/hsetnx/) -+ [HSET](https://redis.io/commands/hset/) (need to support setting multiple fields and values) ++ [HDEL](https://redis.io/commands/hdel) ++ [HEXISTS](https://redis.io/commands/hexists) ++ [HGETALL](https://redis.io/commands/hgetall) ++ [HGET](https://redis.io/commands/hget) ++ [HINCRBY](https://redis.io/commands/hincrby) ++ [HINCRBY](https://redis.io/commands/hincrby) ++ [HKEYS](https://redis.io/commands/hkeys) ++ [HSCAN](https://redis.io/commands/hscan) ++ [HSETNX](https://redis.io/commands/hsetnx) ++ [HSET](https://redis.io/commands/hset) (need to support setting multiple fields and values) #### List -+ [LLEN](https://redis.io/commands/llen/) -+ [LPUSH](https://redis.io/commands/lpush/) -+ [LRANGE](https://redis.io/commands/lrange/) -+ [LTRIM](https://redis.io/commands/ltrim/) -+ [RPUSHX](https://redis.io/commands/rpushx/) -+ [RPUSH](https://redis.io/commands/rpush/) -+ [SCAN](https://redis.io/commands/scan/) ++ [LLEN](https://redis.io/commands/llen) ++ [LPUSH](https://redis.io/commands/lpush) ++ [LRANGE](https://redis.io/commands/lrange) ++ [LTRIM](https://redis.io/commands/ltrim) ++ [RPUSHX](https://redis.io/commands/rpushx) ++ [RPUSH](https://redis.io/commands/rpush) ++ [SCAN](https://redis.io/commands/scan) #### Transaction -+ [EXEC](https://redis.io/commands/exec/) -+ [MULTI](https://redis.io/commands/multi/) -+ [WATCH](https://redis.io/commands/watch/) -+ [UNWATCH](https://redis.io/commands/unwatch/) ++ [EXEC](https://redis.io/commands/exec) ++ [MULTI](https://redis.io/commands/multi) ++ [WATCH](https://redis.io/commands/watch) ++ [UNWATCH](https://redis.io/commands/unwatch) #### Connection management -+ [PING](https://redis.io/commands/ping/) ++ [PING](https://redis.io/commands/ping) #### Server management -+ [CONFIG GET](https://redis.io/commands/config-get/) -+ [CONFIG SET](https://redis.io/commands/config-set/) -+ [DBSIZE](https://redis.io/commands/dbsize/) -+ [FLUSHDB](https://redis.io/commands/flushdb/) (optional) -+ [INFO](https://redis.io/commands/info/) ++ [CONFIG GET](https://redis.io/commands/config-get) ++ [CONFIG SET](https://redis.io/commands/config-set) ++ [DBSIZE](https://redis.io/commands/dbsize) ++ [FLUSHDB](https://redis.io/commands/flushdb) (optional) ++ [INFO](https://redis.io/commands/info) #### Cluster management -+ [CLUSTER INFO](https://redis.io/commands/cluster-info/) ++ [CLUSTER INFO](https://redis.io/commands/cluster-info) #### Scripting (optional) -+ [EVALSHA](https://redis.io/commands/evalsha/) -+ [SCRIPT LOAD](https://redis.io/commands/script-load/) ++ [EVALSHA](https://redis.io/commands/evalsha) ++ [SCRIPT LOAD](https://redis.io/commands/script-load) diff --git a/docs/en/administration/metadata_dump_load.md b/docs/en/administration/metadata_dump_load.md index be23c7e21513..5c70c458695c 100644 --- a/docs/en/administration/metadata_dump_load.md +++ b/docs/en/administration/metadata_dump_load.md @@ -5,6 +5,7 @@ slug: /metadata_dump_load --- :::tip + - JuiceFS v0.15.2 started to support manual backup, recovery and inter-engine migration of metadata. - JuiceFS v1.0.0 starts to support automatic metadata backup ::: @@ -50,7 +51,7 @@ juicefs load redis://192.168.1.6:6379 meta.dump This command automatically handles conflicts due to the inclusion of files from different points in time, recalculates the file system statistics (space usage, inode counters, etc.), and finally generates a globally consistent metadata in the database. Alternatively, if you want to customize some of the metadata (be careful), you can try to manually modify the JSON file before loading. :::tip -To ensure the security of object storage secretKey and sessionToken, the secretKey and sessionToken in the backup file obtained by `juicefs dump` is changed to "removed". Therefore, after the 'juicefs load' is executed to restore it to the metadata engine, you need to use `juicefs config --secret-key xxxx META-URL` to reset secretKey. +To ensure the security of object storage secret key and session token, the secret key and session token in the backup file obtained by `juicefs dump` is changed to "removed". Therefore, after the `juicefs load` is executed to restore it to the metadata engine, you need to use `juicefs config --secret-key xxxx META-URL` to reset secret key. ::: ### Metadata Migration Between Engines @@ -62,14 +63,14 @@ The metadata migration operation requires `newly created database` or `empty dat Thanks to the universality of the JSON format, the JSON file can be recognized by all metadata storage engines supported by JuiceFS. THus, it is possible to export metadata information from one engine as a JSON backup and then import it to another engine, implementing the migration of metadata between different types of engines. For example, ```bash -$ juicefs dump redis://192.168.1.6:6379 meta.dump -$ juicefs load mysql://user:password@(192.168.1.6:3306)/juicefs meta.dump +juicefs dump redis://192.168.1.6:6379 meta.dump +juicefs load mysql://user:password@(192.168.1.6:3306)/juicefs meta.dump ``` It is also possible to migrate directly through the system's Pipe. ```bash -$ juicefs dump redis://192.168.1.6:6379 | juicefs load mysql://user:password@(192.168.1.6:3306)/juicefs +juicefs dump redis://192.168.1.6:6379 | juicefs load mysql://user:password@(192.168.1.6:3306)/juicefs ``` :::caution @@ -81,7 +82,7 @@ To ensure consistency of the file system content before and after migration, you In addition to exporting complete metadata information, the `dump` command also supports exporting metadata in specific subdirectories. The exported JSON content is often used to help troubleshoot problems because it allows users to view the internal information of all the files under a given directory tree intuitively. For example. ```bash -$ juicefs dump redis://192.168.1.6:6379 meta.dump --subdir /path/in/juicefs +juicefs dump redis://192.168.1.6:6379 meta.dump --subdir /path/in/juicefs ``` Moreover, you can use tools like `jq` to analyze the exported file. @@ -120,7 +121,7 @@ For reference, when using Redis as the metadata engine, backing up the metadata ### Automatic Backup Policy -Although automatic metadata backup becomes a default action for clients, backup conflicts do not occur when multiple hosts share the same filesystem mount. +Although automatic metadata backup becomes a default action for clients, backup conflicts do not occur when multiple hosts share the same file system mount. JuiceFS maintains a global timestamp to ensure that only one client performs the backup operation at the same time. When different backup periods are set between clients, then it will back up based on the shortest period setting. diff --git a/docs/en/administration/monitoring.md b/docs/en/administration/monitoring.md index 253ffd344495..d4bb9de0a352 100644 --- a/docs/en/administration/monitoring.md +++ b/docs/en/administration/monitoring.md @@ -10,8 +10,8 @@ As a distributed file system hosting massive data storage, it is important for u It is assumed here that Prometheus Server, Grafana and JuiceFS clients are all running on the same host, in which -- **Prometheus Server**: Scrapes and stores the time series data of various metrics. For installation, please refer to the [official documentation](https://prometheus.io/docs/introduction/first_steps/). -- **Grafana**: Loads and visualizes the time series data from Prometheus. For installation, please refer to the [official documentation](https://grafana.com/docs/grafana/latest/installation/). +- **Prometheus Server**: Scrapes and stores the time series data of various metrics. For installation, please refer to the [official documentation](https://prometheus.io/docs/introduction/first_steps). +- **Grafana**: Loads and visualizes the time series data from Prometheus. For installation, please refer to the [official documentation](https://grafana.com/docs/grafana/latest/installation). ### Ⅰ. Access to real-time data @@ -236,6 +236,7 @@ For this, the following command can help. Clearing the metrics will not affect t ```bash curl -X PUT http://host:9091/api/v1/admin/wipe ``` + ::: For more information about Pushgateway, please check [official document](https://github.com/prometheus/pushgateway/blob/master/README.md). diff --git a/docs/en/administration/sync_accounts_between_multiple_hosts.md b/docs/en/administration/sync_accounts_between_multiple_hosts.md index 64ec3b1a6359..00305e2083cc 100644 --- a/docs/en/administration/sync_accounts_between_multiple_hosts.md +++ b/docs/en/administration/sync_accounts_between_multiple_hosts.md @@ -18,8 +18,6 @@ If you are using JuiceFS in Hadoop environment, besides sync accounts between mu Select a host as a [control node](https://docs.ansible.com/ansible/latest/installation_guide/intro_installation.html#managed-node-requirements) which can access all hosts using `ssh` with the same privileged account like `root` or other sudo account. Then, install Ansible on this host. Refer to [Installing Ansible](https://docs.ansible.com/ansible/latest/installation_guide/intro_installation.html#installing-ansible) for details. - - ## Ensure the same account on all hosts Create `account-sync/play.yaml` as follows: @@ -42,8 +40,6 @@ Create `account-sync/play.yaml` as follows: state: present ``` - - Create the Ansible inventory `hosts`, which contains IP addresses of all hosts that need to create account. Here we ensure an account `alice` with UID 1200 and group `staff` with GID 500 on 2 hosts: @@ -94,7 +90,7 @@ fatal: [172.16.255.180]: FAILED! => {"changed": false, "msg": "groupmod: GID '10 TASK [Ensure user ubuntu with uid 1000 exists] ************************************************************ ok: [172.16.255.163] - to retry, use: --limit @/home/ubuntu/account-sync/play.retry + to retry, use: --limit @/home/ubuntu/account-sync/play.retry PLAY RECAP ************************************************************************************************ 172.16.255.163 : ok=3 changed=0 unreachable=0 failed=0 @@ -129,4 +125,5 @@ $ rm /tmp/hello.txt rm: remove write-protected regular file '/tmp/hello.txt'? y rm: cannot remove '/tmp/hello.txt': Operation not permitted ``` + ::: diff --git a/docs/en/benchmark/_performance_tuning.md b/docs/en/benchmark/_performance_tuning.md deleted file mode 100644 index 0c60b426e427..000000000000 --- a/docs/en/benchmark/_performance_tuning.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Performance Tuning -sidebar_position: 5 ---- -# Performance Tuning diff --git a/docs/en/benchmark/mdtest.md b/docs/en/benchmark/mdtest.md index 450c01a39386..520bdf7503c8 100644 --- a/docs/en/benchmark/mdtest.md +++ b/docs/en/benchmark/mdtest.md @@ -51,6 +51,7 @@ s3fs :/s3fs /s3fs -o host=https://s3..amazonaws.com,endpoint= **Note**: JuiceFS file system mounted with root privilege has already enabled the `allow_other` option. Thus, you don't need to set it manually. @@ -35,6 +35,7 @@ sudo nano /etc/fuse.conf First, uncomment the line `# user_allow_other` by deleting the`#` symbol. Your configuration file should look like the following after the modification. + ```conf # /etc/fuse.conf - Configuration file for Filesystem in Userspace (FUSE) @@ -45,6 +46,7 @@ First, uncomment the line `# user_allow_other` by deleting the`#` symbol. Your c # Allow non-root users to specify the allow_other or allow_root mount options. user_allow_other ``` + #### Re-mount JuiceFS @@ -56,7 +58,7 @@ juicefs mount -d -o allow_other redis://:6379/1 /mnt/jfs ## 2. Docker Volume Plugin {#docker-volume-plugin} -JuiceFS provides [volume plugin](https://docs.docker.com/engine/extend/) for Docker environments to create storage volumes on JuiceFS as if they were local disks. +JuiceFS provides [volume plugin](https://docs.docker.com/engine/extend) for Docker environments to create storage volumes on JuiceFS as if they were local disks. ### Dependencies @@ -76,7 +78,7 @@ sudo docker plugin install juicedata/juicefs --alias juicefs ### Usage -The process of creating a storage volume using the JuiceFS Docker Volume Plugin is similar to creating and mounting a filesystem in a Docker container using the JuiceFS client, so you need to provide information about the database and object storage so that the volume plugin can perform the appropriate operations. +The process of creating a storage volume using the JuiceFS Docker Volume Plugin is similar to creating and mounting a file system in a Docker container using the JuiceFS client, so you need to provide information about the database and object storage so that the volume plugin can perform the appropriate operations. :::tip Since SQLite is a standalone database, the volume plugin container cannot read the database created by the host. Therefore, when using the Docker volume plugin, you can only use network based databases such as Redis, MySQL, etc. @@ -101,7 +103,7 @@ sudo docker volume create -d juicefs \ You can create multiple file systems on the same object storage bucket by specifying different `` volume names and `` database address. ::: -To use docker volume plugin with existing JuiceFS volumes, simply specify the file system name and database address, e.g. +To use Docker volume plugin with existing JuiceFS volumes, simply specify the file system name and database address, e.g. ```shell sudo docker volume create -d juicefs \ @@ -149,7 +151,8 @@ sudo docker plugin rm juicefs #### Storage volumes are not used but cannot be deleted -This may occur because the parameters set when creating the storage volume are incorrect. It is recommended to check the type of object storage, bucket name, Access Key, Secret Key, database address and other information. You can try disabling and re-enabling the juicefs volume plugin to release the failed volume, and then recreate the storage volume with the correct parameter information. +This may occur because the parameters set when creating the storage volume are incorrect. It is recommended to check the type of object storage, bucket name, Access Key, Secret Key, database address and other information. You can try disabling and re-enabling the JuiceFS volume plugin to release the failed volume, and then recreate the storage volume with the correct parameter information. + #### Log of the collection volume plugin To troubleshoot, you can open a new terminal window and execute the following command while performing the operation to view the live log information. @@ -158,7 +161,7 @@ To troubleshoot, you can open a new terminal window and execute the following co journalctl -f -u docker | grep "plugin=" ``` -To learn more about the JuiceFS volume plugin, you can visit the [juicedata/docker-volume-juicefs](https://github.com/juicedata/docker-volume-juicefs) code repository. +To learn more about the JuiceFS volume plugin, you can visit the [`juicedata/docker-volume-juicefs`](https://github.com/juicedata/docker-volume-juicefs) code repository. ## 3. Mount JuiceFS in a Container {#mount-juicefs-in-docker} @@ -166,7 +169,7 @@ Mounting JuiceFS in a Docker container usually serves two purposes, one is to pr ### Using pre-built images -[juicedata/mount](https://hub.docker.com/r/juicedata/mount) is the official client image maintained by JuiceFS, in which both the community version and the cloud service client are packaged, and the program paths are: +[`juicedata/mount`](https://hub.docker.com/r/juicedata/mount) is the official client image maintained by JuiceFS, in which both the community version and the cloud service client are packaged, and the program paths are: - **Commnity Edition**: `/usr/local/bin/juicefs` - **Cloud Service**：`/usr/bin/juicefs` @@ -182,7 +185,7 @@ It is recommended to manually specify the [version tag](https://hub.docker.com/r ### Compiling images manually -In some cases, you may need to integrate the JuiceFS client into a specific system image, which requires you to write your own Dockerfile file. In this process, you can either download the pre-compiled client directly or refer to [juicefs.Dockerfile](https://github.com/juicedata/juicefs-csi-driver/blob/master/docker/juicefs.Dockerfile) to compile the client from source code. +In some cases, you may need to integrate the JuiceFS client into a specific system image, which requires you to write your own Dockerfile file. In this process, you can either download the pre-compiled client directly or refer to [`juicefs.Dockerfile`](https://github.com/juicedata/juicefs-csi-driver/blob/master/docker/juicefs.Dockerfile) to compile the client from source code. The following is an example of a Dockerfile file using the downloaded pre-compiled binaries. @@ -207,7 +210,7 @@ ENTRYPOINT ["/usr/bin/juicefs", "--version"] JuiceFS makes it easy to connect object storage on the cloud to local, so you can using the cloud storage as if you were using local disks. If the entire mounting process is done in a Docker container, it not only simplifies the operation, but also facilitates maintenance and management. This approach is ideal for enterprise or home servers, NAS systems, and other devices to create data disaster recovery environments on the cloud. -The following is an example of a Docker Compose implementation that does the creation and mounting of a JuiceFS filesystem in a Docker container and maps the mount point in the container to the `$HOME/mnt` directory on the host. +The following is an example of a Docker Compose implementation that does the creation and mounting of a JuiceFS file system in a Docker container and maps the mount point in the container to the `$HOME/mnt` directory on the host. #### Directories, files and structures @@ -266,7 +269,7 @@ services: restart: unless-stopped ``` -You can adjust the parameters of the format and mount commands in the above code as needed. For example, when there is some latency in the network connection between local and object storage and local storage is reliable, you can mount the file system by adding the `--writeback` option so that files can be stored to the local cache first and then uploaded to the object storage asynchronously, see [client-side write cache](./cache_management/#client-write-data-cache) for details. +You can adjust the parameters of the format and mount commands in the above code as needed. For example, when there is some latency in the network connection between local and object storage and local storage is reliable, you can mount the file system by adding the `--writeback` option so that files can be stored to the local cache first and then uploaded to the object storage asynchronously, see [client-side write cache](../guide/cache_management.md#writeback) for details. For more file system creation and mounting parameters, please see [command reference](../reference/command_reference.md#mount). diff --git a/docs/en/deployment/s3_gateway.md b/docs/en/deployment/s3_gateway.md index 8c6dc19f2456..fdb35437bee9 100644 --- a/docs/en/deployment/s3_gateway.md +++ b/docs/en/deployment/s3_gateway.md @@ -208,7 +208,7 @@ juicefs-s3-gateway ClusterIP 10.101.108.42 9000/TCP 142m You can use `juicefs-s3-gateway.${NAMESPACE}.svc.cluster.local:9000` or pod IP and port number of `juicefs-s3-gateway` (e.g. `10.244.2.238:9000`) in the application pod to access JuiceFS S3 Gateway. -If you want to access through Ingress, you need to ensure that the Ingress Controller has been deployed in the cluster. Refer to [Ingress Controller Deployment Document](https://kubernetes.github.io/ingress-nginx/deploy/). Then create an `Ingress` resource: +If you want to access through Ingress, you need to ensure that the Ingress Controller has been deployed in the cluster. Refer to [Ingress Controller Deployment Document](https://kubernetes.github.io/ingress-nginx/deploy). Then create an `Ingress` resource: ```yaml kubectl apply -f - <` of ingress controller as kubectl get services -n ingress-nginx ``` -There are some differences between the various versions of Ingress. For more usage methods, please refer to [Ingress Controller Usage Document](https://kubernetes.github.io/ingress-nginx/user-guide/basic-usage/). +There are some differences between the various versions of Ingress. For more usage methods, please refer to [Ingress Controller Usage Document](https://kubernetes.github.io/ingress-nginx/user-guide/basic-usage). ### Install via Helm diff --git a/docs/en/development/contributing_guide.md b/docs/en/development/contributing_guide.md index 1e85898ac82d..fdb860e09282 100644 --- a/docs/en/development/contributing_guide.md +++ b/docs/en/development/contributing_guide.md @@ -38,7 +38,7 @@ This is a rough outline of what a contributor's workflow looks like: 1. Make commits of logical units. 1. Make sure commit messages are in the proper format. 1. Push changes in a topic branch to a personal fork of the repository. -1. Submit a pull request to [juicedata/juicefs](https://github.com/juicedata/juicefs/compare). The PR should link to one issue which either created by you or others. +1. Submit a pull request to [`juicedata/juicefs`](https://github.com/juicedata/juicefs/compare). The PR should link to one issue which either created by you or others. 1. The PR must receive approval from at least one maintainer before it be merged. Happy hacking! diff --git a/docs/en/development/data_structures.md b/docs/en/development/data_structures.md index 6922c675c257..81ad0ae59345 100644 --- a/docs/en/development/data_structures.md +++ b/docs/en/development/data_structures.md @@ -16,7 +16,7 @@ This article introduces the main implementation details of JuiceFS, which is use - Redis: Redis and various protocol-compatible services - SQL: MySQL, PostgreSQL, SQLite, etc. - TKV: TiKV, BadgerDB, etc. -- Datastore: is a component used to store and manage file system data, usually served by object storage, such as Amazon S3, Aliyun OSS, etc. It can also be served by other storage systems that are compatible with object storage semantics, such as local file systems, Ceph Rados, TiKV, etc. +- Datastore: is a component used to store and manage file system data, usually served by object storage, such as Amazon S3, Aliyun OSS, etc. It can also be served by other storage systems that are compatible with object storage semantics, such as local file systems, Ceph RADOS, TiKV, etc. - Client: can be in various forms, such as mount process, S3 gateway, WebDAV server, Java SDK, etc. - File: refers to all types of files in general in this documentation, including regular files, directory files, link files, device files, etc. - Directory: is a special kind of file used to organize the tree structure, and its contents are an index to a set of other files. @@ -30,33 +30,34 @@ File systems are usually organized in a tree structure, where nodes represent fi #### 3.1.1 Setting It is created when the `juicefs format` command is executed, and some of its fields can be modified later by the `juicefs config` command. The structure is specified as follows. + ```go type Format struct { - Name string - UUID string - Storage string - Bucket string - AccessKey string `json:",omitempty"` - SecretKey string `json:",omitempty"` - SessionToken string `json:",omitempty"` - BlockSize int - Compression string `json:",omitempty"` - Shards int `json:",omitempty"` - HashPrefix bool `json:",omitempty"` - Capacity uint64 `json:",omitempty"` - Inodes uint64 `json:",omitempty"` - EncryptKey string `json:",omitempty"` - KeyEncrypted bool `json:",omitempty"` - TrashDays int `json:",omitempty"` - MetaVersion int `json:",omitempty"` - MinClientVersion string `json:",omitempty"` - MaxClientVersion string `json:",omitempty"` + Name string + UUID string + Storage string + Bucket string + AccessKey string `json:",omitempty"` + SecretKey string `json:",omitempty"` + SessionToken string `json:",omitempty"` + BlockSize int + Compression string `json:",omitempty"` + Shards int `json:",omitempty"` + HashPrefix bool `json:",omitempty"` + Capacity uint64 `json:",omitempty"` + Inodes uint64 `json:",omitempty"` + EncryptKey string `json:",omitempty"` + KeyEncrypted bool `json:",omitempty"` + TrashDays int `json:",omitempty"` + MetaVersion int `json:",omitempty"` + MinClientVersion string `json:",omitempty"` + MaxClientVersion string `json:",omitempty"` } ``` - Name: name of the file system, specified by the user when formatting - UUID: unique ID of the file system, automatically generated by the system when formatting -- Storage: short name of the object storage used to store data, such as s3, oss, etc. +- Storage: short name of the object storage used to store data, such as `s3`, `oss`, etc. - Bucket: the bucket path of the object storage - AccessKey: access key used to access the object storage - SecretKey: secret key used to access the object storage @@ -84,7 +85,7 @@ Maintains the value of each counter in the system and the start timestamps of so - totalInodes: number of used files in the file system - nextInode: the next available inode number (in Redis, the maximum inode number currently in use) - nextChunk: the next available sliceId (in Redis, the largest sliceId currently in use) -- nextSession: the maximum sid (sessionID) currently in use +- nextSession: the maximum SID (sessionID) currently in use - nextTrash: the maximum trash inode number currently in use - nextCleanupSlices: timestamp of the last check on the cleanup of residual slices - lastCleanupSessions: timestamp of the last check on the cleanup of residual stale sessions @@ -105,10 +106,10 @@ Records specific metadata of the client session so that it can be viewed with th ```go type SessionInfo struct { - Version string // JuiceFS version - HostName string // Host name - MountPoint string // path to mount point. S3 gateway and WebDAV server are "s3gateway" and "webdav" respectively - ProcessID int // Process ID + Version string // JuiceFS version + HostName string // Host name + MountPoint string // path to mount point. S3 gateway and WebDAV server are "s3gateway" and "webdav" respectively + ProcessID int // Process ID } ``` @@ -120,24 +121,24 @@ Records attribute information of each file, as follows ```go type Attr struct { - Flags uint8 // reserved flags - Typ uint8 // type of a node - Mode uint16 // permission mode - Uid uint32 // owner id - Gid uint32 // group id of owner - Rdev uint32 // device number - Atime int64 // last access time - Mtime int64 // last modified time - Ctime int64 // last change time for meta - Atimensec uint32 // nanosecond part of atime - Mtimensec uint32 // nanosecond part of mtime - Ctimensec uint32 // nanosecond part of ctime - Nlink uint32 // number of links (sub-directories or hardlinks) - Length uint64 // length of regular file - - Parent Ino // inode of parent; 0 means tracked by parentKey (for hardlinks) - Full bool // the attributes are completed or not - KeepCache bool // whether to keep the cached page or not + Flags uint8 // reserved flags + Typ uint8 // type of a node + Mode uint16 // permission mode + Uid uint32 // owner id + Gid uint32 // group id of owner + Rdev uint32 // device number + Atime int64 // last access time + Mtime int64 // last modified time + Ctime int64 // last change time for meta + Atimensec uint32 // nanosecond part of atime + Mtimensec uint32 // nanosecond part of mtime + Ctimensec uint32 // nanosecond part of ctime + Nlink uint32 // number of links (sub-directories or hardlinks) + Length uint64 // length of regular file + + Parent Ino // inode of parent; 0 means tracked by parentKey (for hardlinks) + Full bool // the attributes are completed or not + KeepCache bool // whether to keep the cached page or not } ``` @@ -186,11 +187,11 @@ where inode is the inode number of the file to which the Chunk belongs, and inde ```go type Slice struct { - Pos uint32 // offset of the Slice in the Chunk - ID uint64 // ID of the Slice, globally unique - Size uint32 // size of the Slice - Off uint32 // offset of valid data in this Slice - Len uint32 // size of valid data in this Slice + Pos uint32 // offset of the Slice in the Chunk + ID uint64 // ID of the Slice, globally unique + Size uint32 // size of the Slice + Off uint32 // offset of valid data in this Slice + Len uint32 // size of valid data in this Slice } ``` @@ -230,7 +231,7 @@ Records BSD locks (flock) of a file, specifically. inode, sid, owner -> ltype ``` -where sid is the client session ID, owner is a string of numbers, usually associated with a process, and ltype is the lock type, which can be 'R' or 'W'. +where `sid` is the client session ID, `owner` is a string of numbers, usually associated with a process, and `ltype` is the lock type, which can be 'R' or 'W'. #### 3.1.13 Plock @@ -244,10 +245,10 @@ Here plock is a more fine-grained lock that can only lock a certain segment of t ```go type plockRecord struct { - ltype uint32 // lock type - pid uint32 // process ID - start uint64 // start position of the lock - end uint64 // end position of the lock + ltype uint32 // lock type + pid uint32 // process ID + start uint64 // start position of the lock + end uint64 // end position of the lock } ``` @@ -275,8 +276,8 @@ where sliceId is the ID of the new slice after compaction, deleted is the timest ```go type slice struct { - ID uint64 - Size uint32 + ID uint64 + Size uint32 } ``` @@ -290,7 +291,7 @@ Records the list of files that need to be kept temporarily during the session. I sid -> []inode ``` -where sid is the session ID and the mapped value is the list of temporarily undeleted file inodes. +where `sid` is the session ID and the mapped value is the list of temporarily undeleted file inodes. ### 3.2 Redis @@ -316,7 +317,7 @@ In Redis Keys, integers (including inode numbers) are represented as decimal str #### 3.2.3 Session - Key: `allSessions` -- Value Type：Sorted Set +- Value Type: Sorted Set - Value: all non-read-only sessions connected to this file system. In Set, - Member: session ID - Score: timeout point of this session @@ -393,12 +394,12 @@ In Redis Keys, integers (including inode numbers) are represented as decimal str - Value Type: Hash - Value: all plocks of this file. In Hash, - Key: `${sid}_${owner}`, owner in hexadecimal - - Value: array of bytes, where every 24 bytes corresponds to a [plockRecord](#3.1.13-Plock) + - Value: array of bytes, where every 24 bytes corresponds to a [plockRecord](#3113-plock) #### 3.2.14 DelFiles - Key：`delfiles` -- Value Type：Sorted Set +- Value Type: Sorted Set - Value: list of all files to be cleaned. In Set, - Member: `${inode}:${length}` - Score: the timestamp when this file was added to the set @@ -409,7 +410,7 @@ In Redis Keys, integers (including inode numbers) are represented as decimal str - Value Type: Hash - Value: all Slices to be cleaned. In Hash, - Key: `${sliceId}_${deleted}` - - Value: array of bytes, where every 12 bytes corresponds to a [slice](#3.1.15-DelSlices) + - Value: array of bytes, where every 12 bytes corresponds to a [slice](#3115-delslices) #### 3.2.16 Sustained @@ -426,8 +427,8 @@ Metadata is stored in different tables by type, and each table is named with `jf ```go type setting struct { - Name string `xorm:"pk"` - Value string `xorm:"varchar(4096) notnull"` + Name string `xorm:"pk"` + Value string `xorm:"varchar(4096) notnull"` } ``` @@ -437,8 +438,8 @@ There is only one entry in this table with "format" as Name and file system form ```go type counter struct { - Name string `xorm:"pk"` - Value int64 `xorm:"notnull"` + Name string `xorm:"pk"` + Value int64 `xorm:"notnull"` } ``` @@ -446,9 +447,9 @@ type counter struct { ```go type session2 struct { - Sid uint64 `xorm:"pk"` - Expire int64 `xorm:"notnull"` - Info []byte `xorm:"blob"` + Sid uint64 `xorm:"pk"` + Expire int64 `xorm:"notnull"` + Info []byte `xorm:"blob"` } ``` @@ -460,33 +461,33 @@ There is no separate table for this, but it is recorded in the `Info` column of ```go type node struct { - Inode Ino `xorm:"pk"` - Type uint8 `xorm:"notnull"` - Flags uint8 `xorm:"notnull"` - Mode uint16 `xorm:"notnull"` - Uid uint32 `xorm:"notnull"` - Gid uint32 `xorm:"notnull"` - Atime int64 `xorm:"notnull"` - Mtime int64 `xorm:"notnull"` - Ctime int64 `xorm:"notnull"` - Nlink uint32 `xorm:"notnull"` - Length uint64 `xorm:"notnull"` - Rdev uint32 - Parent Ino + Inode Ino `xorm:"pk"` + Type uint8 `xorm:"notnull"` + Flags uint8 `xorm:"notnull"` + Mode uint16 `xorm:"notnull"` + Uid uint32 `xorm:"notnull"` + Gid uint32 `xorm:"notnull"` + Atime int64 `xorm:"notnull"` + Mtime int64 `xorm:"notnull"` + Ctime int64 `xorm:"notnull"` + Nlink uint32 `xorm:"notnull"` + Length uint64 `xorm:"notnull"` + Rdev uint32 + Parent Ino } ``` -Most of the fields are the same as [Attr](#3.1.5-Node), but the timestamp precision is lower, i.e., Atime/Mtime/Ctime are in microseconds. +Most of the fields are the same as [Attr](#315-node), but the timestamp precision is lower, i.e., Atime/Mtime/Ctime are in microseconds. #### 3.3.6 Edge ```go type edge struct { - Id int64 `xorm:"pk bigserial"` - Parent Ino `xorm:"unique(edge) notnull"` - Name []byte `xorm:"unique(edge) varbinary(255) notnull"` - Inode Ino `xorm:"index notnull"` - Type uint8 `xorm:"notnull"` + Id int64 `xorm:"pk bigserial"` + Parent Ino `xorm:"unique(edge) notnull"` + Name []byte `xorm:"unique(edge) varbinary(255) notnull"` + Inode Ino `xorm:"index notnull"` + Type uint8 `xorm:"notnull"` } ``` @@ -498,22 +499,22 @@ There is no separate table for this. All `Parent`s are found based on the `Inode ```go type chunk struct { - Id int64 `xorm:"pk bigserial"` - Inode Ino `xorm:"unique(chunk) notnull"` - Indx uint32 `xorm:"unique(chunk) notnull"` - Slices []byte `xorm:"blob notnull"` + Id int64 `xorm:"pk bigserial"` + Inode Ino `xorm:"unique(chunk) notnull"` + Indx uint32 `xorm:"unique(chunk) notnull"` + Slices []byte `xorm:"blob notnull"` } ``` -Slices are an array of bytes, and each [Slice](#3.1.8-chunk) corresponds to 24 bytes. +Slices are an array of bytes, and each [Slice](#318-chunk) corresponds to 24 bytes. #### 3.3.9 SliceRef ```go type sliceRef struct { - Id uint64 `xorm:"pk chunkid"` - Size uint32 `xorm:"notnull"` - Refs int `xorm:"notnull"` + Id uint64 `xorm:"pk chunkid"` + Size uint32 `xorm:"notnull"` + Refs int `xorm:"notnull"` } ``` @@ -521,8 +522,8 @@ type sliceRef struct { ```go type symlink struct { - Inode Ino `xorm:"pk"` - Target []byte `xorm:"varbinary(4096) notnull"` + Inode Ino `xorm:"pk"` + Target []byte `xorm:"varbinary(4096) notnull"` } ``` @@ -530,10 +531,10 @@ type symlink struct { ```go type xattr struct { - Id int64 `xorm:"pk bigserial"` - Inode Ino `xorm:"unique(name) notnull"` - Name string `xorm:"unique(name) notnull"` - Value []byte `xorm:"blob notnull"` + Id int64 `xorm:"pk bigserial"` + Inode Ino `xorm:"unique(name) notnull"` + Name string `xorm:"unique(name) notnull"` + Value []byte `xorm:"blob notnull"` } ``` @@ -541,11 +542,11 @@ type xattr struct { ```go type flock struct { - Id int64 `xorm:"pk bigserial"` - Inode Ino `xorm:"notnull unique(flock)"` - Sid uint64 `xorm:"notnull unique(flock)"` - Owner int64 `xorm:"notnull unique(flock)"` - Ltype byte `xorm:"notnull"` + Id int64 `xorm:"pk bigserial"` + Inode Ino `xorm:"notnull unique(flock)"` + Sid uint64 `xorm:"notnull unique(flock)"` + Owner int64 `xorm:"notnull unique(flock)"` + Ltype byte `xorm:"notnull"` } ``` @@ -553,23 +554,23 @@ type flock struct { ```go type plock struct { - Id int64 `xorm:"pk bigserial"` - Inode Ino `xorm:"notnull unique(plock)"` - Sid uint64 `xorm:"notnull unique(plock)"` - Owner int64 `xorm:"notnull unique(plock)"` - Records []byte `xorm:"blob notnull"` + Id int64 `xorm:"pk bigserial"` + Inode Ino `xorm:"notnull unique(plock)"` + Sid uint64 `xorm:"notnull unique(plock)"` + Owner int64 `xorm:"notnull unique(plock)"` + Records []byte `xorm:"blob notnull"` } ``` -Records is an array of bytes, and each [plockRecord](#3.1.13-Plock) corresponds to 24 bytes. +Records is an array of bytes, and each [plockRecord](#3113-plock) corresponds to 24 bytes. #### 3.3.14 DelFiles ```go type delfile struct { - Inode Ino `xorm:"pk notnull"` - Length uint64 `xorm:"notnull"` - Expire int64 `xorm:"notnull"` + Inode Ino `xorm:"pk notnull"` + Length uint64 `xorm:"notnull"` + Expire int64 `xorm:"notnull"` } ``` @@ -577,21 +578,21 @@ type delfile struct { ```go type delslices struct { - Id uint64 `xorm:"pk chunkid"` - Deleted int64 `xorm:"notnull"` - Slices []byte `xorm:"blob notnull"` + Id uint64 `xorm:"pk chunkid"` + Deleted int64 `xorm:"notnull"` + Slices []byte `xorm:"blob notnull"` } ``` -Slices is an array of bytes, and each [slice](#3.1.15-DelSlices) corresponds to 12 bytes. +Slices is an array of bytes, and each [slice](#3115-delslices) corresponds to 12 bytes. #### 3.3.16 Sustained ```go type sustained struct { - Id int64 `xorm:"pk bigserial"` - Sid uint64 `xorm:"unique(sustained) notnull"` - Inode Ino `xorm:"unique(sustained) notnull"` + Id int64 `xorm:"pk bigserial"` + Sid uint64 `xorm:"unique(sustained) notnull"` + Inode Ino `xorm:"unique(sustained) notnull"` } ``` @@ -605,7 +606,7 @@ The common format of keys in TKV (Transactional Key-Value Database) is `${prefix In TKV's Keys, all integers are stored in encoded binary form. - inode and counter value occupy 8 bytes and are encoded with **small endian**. -- sid, sliceId and timestamp occupy 8 bytes and are encoded with **big endian**. +- SID, sliceId and timestamp occupy 8 bytes and are encoded with **big endian**. #### 3.4.1 Setting @@ -655,7 +656,7 @@ A${inode}P${parentInode} -> counter value A${inode}C${index} -> Slices ``` -where index takes up 4 bytes and is encoded with **big endian**. Slices is an array of bytes, one [Slice](#3.1.8-Chunk) per 24 bytes. +where index takes up 4 bytes and is encoded with **big endian**. Slices is an array of bytes, one [Slice](#318-chunk) per 24 bytes. #### 3.4.9 SliceRef @@ -687,9 +688,9 @@ where flocks is an array of bytes, one flock per 17 bytes. ```go type flock struct { - sid uint64 - owner uint64 - ltype uint8 + sid uint64 + owner uint64 + ltype uint8 } ``` @@ -703,14 +704,14 @@ where plocks is an array of bytes and the corresponding plock is variable-length ```go type plock struct { - sid uint64 - owner uint64 - size uint32 - records []byte + sid uint64 + owner uint64 + size uint32 + records []byte } ``` -where size is the length of the records array and every 24 bytes in records corresponds to one [plockRecord](#3.1.13-Plock). +where size is the length of the records array and every 24 bytes in records corresponds to one [plockRecord](#3113-plock). #### 3.4.14 DelFiles @@ -726,7 +727,7 @@ where length takes up 8 bytes and is encoded with **big endian**. L${timestamp}${sliceId} -> slices ``` -where slices is an array of bytes, and one [slice](#3.1.15-DelSlices) corresponds to 12 bytes. +where slices is an array of bytes, and one [slice](#3115-delslices) corresponds to 12 bytes. #### 3.4.16 Sustained @@ -740,12 +741,12 @@ Here the Value value is only used as a placeholder. ### 4.1 Finding files by path -According to the design of [Edge](# 3.1.6-Edge), only the direct children of each directory are recorded in the metadata engine. When an application provides a path to access a file, JuiceFS needs to look it up level by level. Now suppose the application wants to open the file `/dir1/dir2/testfile`, then it needs to +According to the design of [Edge](#316-edges), only the direct children of each directory are recorded in the metadata engine. When an application provides a path to access a file, JuiceFS needs to look it up level by level. Now suppose the application wants to open the file `/dir1/dir2/testfile`, then it needs to 1. search for the entry with name "dir1" in the Edge structure of the root directory (inode number is fixed to 1) and get its inode number N1 2. search for the entry with the name "dir2" in the Edge structure of N1 and get its inode number N2 3. search for the entry with the name "testfile" in the Edge structure of N2, and get its inode number N3 -4. search for the [Node](#3.1.5-Node) structure corresponding to N3 to get the attributes of the file +4. search for the [Node](#315-node) structure corresponding to N3 to get the attributes of the file Failure in any of the above steps will result in the file pointed to by that path not being found. @@ -758,7 +759,7 @@ From the previous section, we know how to find the file based on its path and ge Chunk: |<--- Chunk 0 --->|<--- Chunk 1 --->|<-- Chunk 2 -->| ``` -In standalone Redis, this means that there are 3 [Chunk Keys](#3.1.8-Chunk), i.e.,`c100_0`, `c100_1` and `c100_2`, each corresponding to a list of Slices. These Slices are mainly generated when the data is written and may overwrite each other or may not fill the Chunk completely, so you need to traverse this list of Slices sequentially and reconstruct the latest version of the data distribution before using it, so that +In standalone Redis, this means that there are 3 [Chunk Keys](#318-chunk), i.e.,`c100_0`, `c100_1` and `c100_2`, each corresponding to a list of Slices. These Slices are mainly generated when the data is written and may overwrite each other or may not fill the Chunk completely, so you need to traverse this list of Slices sequentially and reconstruct the latest version of the data distribution before using it, so that 1. the part covered by more than one Slice is based on the last added Slice 2. the part that is not covered by Slice is automatically zeroed, and is represented by sliceId = 0 @@ -785,6 +786,7 @@ New List: |_ _ _ _ _|_ _ _|_ _ _ _ _|_ _ _ _ _|_ _|_ _ _ _ _ _ _ _ _ _ _ _| ``` The reconstructed new list contains and only contains the latest data distribution for this Chunk as follows + ```go Slice{pos: 0, id: 0, size: 10M, off: 0, len: 10M} Slice{pos: 10M, id: 10, size: 30M, off: 0, len: 6M} @@ -808,14 +810,14 @@ Block is the basic unit for JuiceFS to manage data. Its size is 4 MiB by default - index is the index of the object in the Slice it belongs to, by default a Slice can be split into at most 16 Blocks, so its value range is [0, 16) - size is the size of the Block, and by default it takes the value of (0, 4 MiB] -Currently there are two hash algorithms, and both use the sliceId in basename as the parameter. Which algorithm will be chosen to use follows the [HashPrefix](#3.1.1-Setting) of the file system. +Currently there are two hash algorithms, and both use the sliceId in basename as the parameter. Which algorithm will be chosen to use follows the [HashPrefix](#311-setting) of the file system. ```go func hash(sliceId int) string { - if HashPrefix { - return fmt.Sprintf("%02X/%d", sliceId%256, sliceId/1000/1000) - } - return fmt.Sprintf("%d/%d", sliceId/1000/1000, sliceId/1000) + if HashPrefix { + return fmt.Sprintf("%02X/%d", sliceId%256, sliceId/1000/1000) + } + return fmt.Sprintf("%d/%d", sliceId/1000/1000, sliceId/1000) } ``` @@ -872,11 +874,11 @@ It is worth mentioning that the 'size' here is size of the original data in the #### 4.3.2 Data compression -You can configure the compression algorithm (supporting lz4 and zstd) with the `--compress ` parameter when formatting a file system, so that all data blocks of this file system will be compressed before uploading to object storage. The object name remains the same as default, and the content is the result of the compression algorithm, without any other meta information. Therefore, the compression algorithm in the [file system formatting Information](#3.1.1-Setting) is not allowed to be modified, otherwise it will cause the failure of reading existing data. +You can configure the compression algorithm (supporting `lz4` and `zstd`) with the `--compress ` parameter when formatting a file system, so that all data blocks of this file system will be compressed before uploading to object storage. The object name remains the same as default, and the content is the result of the compression algorithm, without any other meta information. Therefore, the compression algorithm in the [file system formatting Information](#311-setting) is not allowed to be modified, otherwise it will cause the failure of reading existing data. #### 4.3.3 Data encryption -The RSA private key can be configured to enable [static data encryption](https://juicefs.com/docs/community/security/encrypt/) when formatting a file system with the `--encrypt-rsa-key ` parameter, which allows all data blocks of this file system to be encrypted before uploading to the object storage. The object name is still the same as default, while its content becomes a header plus the result of the data encryption algorithm. The header contains a random seed and the symmetric key used for decryption, and the symmetric key itself is encrypted with the RSA private key. Therefore, it is not allowed to modify the RSA private key in the [file system formatting Information](#3.1.1-Setting), otherwise reading existing data will fail. +The RSA private key can be configured to enable [static data encryption](../security/encrypt.md) when formatting a file system with the `--encrypt-rsa-key ` parameter, which allows all data blocks of this file system to be encrypted before uploading to the object storage. The object name is still the same as default, while its content becomes a header plus the result of the data encryption algorithm. The header contains a random seed and the symmetric key used for decryption, and the symmetric key itself is encrypted with the RSA private key. Therefore, it is not allowed to modify the RSA private key in the [file system formatting Information](#311-setting), otherwise reading existing data will fail. :::note If both compression and encryption are enabled, the original data will be compressed and then encrypted before uploading to the object storage. diff --git a/docs/en/faq.md b/docs/en/faq.md index 437763ccc7cf..16b752b1cf81 100644 --- a/docs/en/faq.md +++ b/docs/en/faq.md @@ -33,13 +33,14 @@ This means that a file or directory under the mount point is in use and cannot b ### Does support Redis in Sentinel or Cluster-mode as the metadata engine for JuiceFS? -Yes，There is also a [best practice document](administration/metadata/redis_best_practices.md) for Redis as the JuiceFS metadata engine for reference. +Yes, There is also a [best practice document](administration/metadata/redis_best_practices.md) for Redis as the JuiceFS metadata engine for reference. ### `format: ERR wrong number of arguments for 'auth' command` This error means you use Redis < 6.0.0 and specify username in Redis URL when execute `juicefs format` command. Only Redis >= 6.0.0 supports specify username, so you need omit the username parameter in the URL, e.g. `redis://:password@host:6379/1`. ### `cannot update volume XXX from XXX to XXX` + The meta database has already been formatted and previous configuration cannot be updated by this `format`. You can execute the `juicefs format` command after manually cleaning up the meta database. ## Object Storage Related Questions @@ -56,7 +57,7 @@ Refer to ["How JuiceFS Store Files"](./introduction/architecture.md#how-juicefs- The first reason is that you may have enabled the trash feature. In order to ensure data security, the trash is enabled by default. The deleted files are actually placed in the trash and are not actually deleted, so the size of the object storage will not change. trash retention time can be specified with `juicefs format` or modified with `juicefs config`. Please refer to the ["Trash"](security/trash.md) documentation for more information. -The second reason is that JuiceFS deletes the data in the object storage asynchronously, so the space change of the object storage will be slower. If you need to immediately clean up the data in the object store that needs to be deleted, you can try running the [`juicefs gc`](reference/command_reference.md#juicefs-gc) command. +The second reason is that JuiceFS deletes the data in the object storage asynchronously, so the space change of the object storage will be slower. If you need to immediately clean up the data in the object store that needs to be deleted, you can try running the [`juicefs gc`](reference/command_reference.md#gc) command. ### Why is the size displayed at the mount point different from the object storage footprint? @@ -76,7 +77,7 @@ As of the release of JuiceFS 1.0, this feature is not supported. ### Is it possible to bind multiple different object storages to a single file system (e.g. one file system with Amazon S3, GCS and OSS at the same time)? -No. However, you can set up multiple buckets associated with the same object storage service when creating a file system, thus solving the problem of limiting the number of individual bucket objects, for example, multiple S3 Buckets can be associated with a single file system. Please refer to [`--shards`](./reference/command_reference.md#juicefs-format) option for details. +No. However, you can set up multiple buckets associated with the same object storage service when creating a file system, thus solving the problem of limiting the number of individual bucket objects, for example, multiple S3 Buckets can be associated with a single file system. Please refer to [`--shards`](./reference/command_reference.md#format) option for details. ## Performance Related Questions @@ -86,10 +87,9 @@ JuiceFS is a distributed file system, the latency of metedata is determined by 1 JuiceFS is built with multiple layers of caching (invalidated automatically), once the caching is warmed up, the latency and throughput of JuiceFS could be close to local filesystem (having the overhead of FUSE). - ### Does JuiceFS support random read/write? -Yes, including those issued using mmap. Currently JuiceFS is optimized for sequential reading/writing, and optimized for random reading/writing is work in progress. If you want better random reading performance, it's recommended to turn off compression ([`--compress none`](reference/command_reference.md#juicefs-format)). +Yes, including those issued using mmap. Currently JuiceFS is optimized for sequential reading/writing, and optimized for random reading/writing is work in progress. If you want better random reading performance, it's recommended to turn off compression ([`--compress none`](reference/command_reference.md#format)). ### What is the implementation principle of JuiceFS supporting random write? @@ -103,7 +103,7 @@ This is just a rough introduction to the implementation logic. The specific read You could mount JuiceFS with [`--writeback` option](reference/command_reference.md#mount), which will write the small files into local disks first, then upload them to object storage in background, this could speedup coping many small files into JuiceFS. -See ["Write Cache in Client"](guide/cache_management.md#write-cache-in-client) for more information. +See ["Write Cache in Client"](guide/cache_management.md#writeback) for more information. ### Does JuiceFS currently support distributed caching? @@ -115,8 +115,7 @@ As of the release of JuiceFS 1.0, this feature is not supported. Yes, JuiceFS could be mounted using `juicefs` without root. The default directory for caching is `$HOME/.juicefs/cache` (macOS) or `/var/jfsCache` (Linux), you should change that to a directory which you have write permission. -See ["Read Cache in Client"](guide/cache_management.md#read-cache-in-client) for more information. - +See ["Read Cache in Client"](guide/cache_management.md#client-read-cache) for more information. ## Access Related Questions @@ -128,7 +127,7 @@ The new data written by `write()` will be buffered in kernel or client, visible Either call `fsync()`, `fdatasync()` or `close()` to force upload the data to the object storage and update the metadata, or after several seconds of automatic refresh, other clients can visit the updates. It is also the strategy adopted by the vast majority of distributed file systems. -See ["Write Cache in Client"](guide/cache_management.md#write-cache-in-client) for more information. +See ["Write Cache in Client"](guide/cache_management.md#writeback) for more information. ### What other ways JuiceFS supports access to data besides mount? diff --git a/docs/en/getting-started/README.md b/docs/en/getting-started/README.md index 8680316fe8b3..aa4409e4f068 100644 --- a/docs/en/getting-started/README.md +++ b/docs/en/getting-started/README.md @@ -25,7 +25,7 @@ A help message will return after executing `juicefs` in terminal once the JuiceF ### Basic Concept -JuiceFS client provides a command [`format`](../reference/command_reference.md#juicefs-format) to create a file system as follows. +JuiceFS client provides a command [`format`](../reference/command_reference.md#format) to create a file system as follows. ```shell juicefs format [command options] META-URL NAME @@ -77,12 +77,12 @@ juicefs mount [command options] META-URL MOUNTPOINT Similar to the command of creating a file system, the following information is also required to mount a file system. -1. **[command options]**: used to specify file system-related options, e.g. `-d` enables background mounts. -2. **META-URL**: used to set up the metadata storage, usually a URL or file path of a database. -3. **MOUNTPOINT**: used to specific a mount point of the file system. +1. `[command options]`: used to specify file system-related options, e.g. `-d` enables background mounts. +2. `META-URL`: used to set up the metadata storage, usually a URL or file path of a database. +3. `MOUNTPOINT`: used to specific a mount point of the file system. :::tip -The mount point (MOUNTPOINT) on Windows systems should use a disk letter that is not yet occupied, e.g. `Z:`, `Y:`. +The mount point (`MOUNTPOINT`) on Windows systems should use a disk letter that is not yet occupied, e.g. `Z:`, `Y:`. ::: ### Hands-on Practice @@ -117,7 +117,7 @@ juicefs umount ~/jfs ## Go Further -The above exercise only helps you to have a quick experience with JuiceFS locally and gives you a basic overview of how JucieFS works. To make the example more practical, we can take a step further by using SQLite to store metadata as above but replacing the local storage with "object storage". +The above exercise only helps you to have a quick experience with JuiceFS locally and gives you a basic overview of how JuiceFS works. To make the example more practical, we can take a step further by using SQLite to store metadata as above but replacing the local storage with "object storage". ### Object Storage diff --git a/docs/en/getting-started/installation.md b/docs/en/getting-started/installation.md index 1f0fc570f30d..3bd0fec6ab0a 100644 --- a/docs/en/getting-started/installation.md +++ b/docs/en/getting-started/installation.md @@ -100,7 +100,7 @@ For details, see "[Using JuiceFS on WSL](../tutorials/juicefs_on_wsl.md)" ### macOS -Since macOS does not support the FUSE interface by default, you need to install [macFUSE](https://osxfuse.github.io/) first to implement the support for FUSE. +Since macOS does not support the FUSE interface by default, you need to install [macFUSE](https://osxfuse.github.io) first to implement the support for FUSE. :::tip [macFUSE](https://github.com/osxfuse/osxfuse) is an open source file system enhancement tool that allows macOS to mount third-party file systems, enabling JuiceFS clients to mount file systems on macOS systems. @@ -108,7 +108,7 @@ Since macOS does not support the FUSE interface by default, you need to install #### Homebrew -If you have the [Homebrew](https://brew.sh/) package manager installed on your system, you can install the JuiceFS client by executing the following command. +If you have the [Homebrew](https://brew.sh) package manager installed on your system, you can install the JuiceFS client by executing the following command. ```shell brew tap juicedata/homebrew-tap @@ -204,7 +204,7 @@ Compiling clients for Linux, macOS, BSD and other Unix-like systems requires the Compiling the JuiceFS client on Windows requires [Go](https://golang.org) 1.18+ and GCC 5.4+. -Since GCC does not have a native Windows client, the version provided by a third party, either [MinGW-w64](https://sourceforge.net/projects/mingw-w64/) or [Cygwin](https://www.cygwin.com/) is needed. Here is an example of using MinGW-w64. +Since GCC does not have a native Windows client, the version provided by a third party, either [MinGW-w64](https://sourceforge.net/projects/mingw-w64) or [Cygwin](https://www.cygwin.com) is needed. Here is an example of using MinGW-w64. Download MinGW-w64 and add its `bin` directory to the system environment variables. diff --git a/docs/en/guide/cache_management.md b/docs/en/guide/cache_management.md index 8a3157137058..a8b956fda9e2 100644 --- a/docs/en/guide/cache_management.md +++ b/docs/en/guide/cache_management.md @@ -155,7 +155,7 @@ Only files in the mounted file system can be warmed up, i.e. the path to be warm ### Warm up a directory -For example, to cache the `dataset-1` directory in a filesystem mount point locally. +For example, to cache the `dataset-1` directory in a file system mount point locally. ```shell juicefs warmup /mnt/jfs/dataset-1 diff --git a/docs/en/guide/how_to_set_up_metadata_engine.md b/docs/en/guide/how_to_set_up_metadata_engine.md index 89e287059c3b..f2d7824223b4 100644 --- a/docs/en/guide/how_to_set_up_metadata_engine.md +++ b/docs/en/guide/how_to_set_up_metadata_engine.md @@ -92,6 +92,7 @@ juicefs format \ ``` :::note + 1. When a Redis username or password contains special characters, you need to replace them with `%xx` by [URL encode](https://www.w3schools.com/tags/ref_urlencode.ASP), for example `@` with `%40`, or pass the password using an environment variable. 2. You can also use the standard URL syntax when passing database passwords using environment variables, e.g., `"redis://:@192.168.1.6:6379/1"` which preserves the `:` and `@` separators between the username and password. ::: @@ -117,7 +118,7 @@ If you maintain the Redis database on your own, it is recommended to read [Redis ## KeyDB -[KeyDB](https://keydb.dev/) is an open source fork of Redis, developed to stay aligned with the Redis community. KeyDB implements multi-threading support, better memory utilization, and greater throughput on top of Redis, and also supports [Active Replication](https://github.com/JohnSully/KeyDB/wiki/Active-Replication), i.e., the Active Active feature. +[KeyDB](https://keydb.dev) is an open source fork of Redis, developed to stay aligned with the Redis community. KeyDB implements multi-threading support, better memory utilization, and greater throughput on top of Redis, and also supports [Active Replication](https://github.com/JohnSully/KeyDB/wiki/Active-Replication), i.e., the Active Active feature. :::note Same as Redis, the Active Replication is asychronous, which may cause consistency issues. So use with caution! @@ -127,9 +128,9 @@ When being used as metadata storage engine for Juice, KeyDB is used exactly in t ## PostgreSQL -[PostgreSQL](https://www.postgresql.org/) is a powerful open source relational database with a perfect ecosystem and rich application scenarios, and it also works as the metadata engine of JuiceFS. +[PostgreSQL](https://www.postgresql.org) is a powerful open source relational database with a perfect ecosystem and rich application scenarios, and it also works as the metadata engine of JuiceFS. -Many cloud computing platforms offer hosted PostgreSQL database services, or you can deploy one yourself by following the [Usage Wizard](https://www.postgresqltutorial.com/postgresql-getting-started/). +Many cloud computing platforms offer hosted PostgreSQL database services, or you can deploy one yourself by following the [Usage Wizard](https://www.postgresqltutorial.com/postgresql-getting-started). Other PostgreSQL-compatible databases (such as CockroachDB) can also be used as metadata engine. @@ -178,12 +179,12 @@ juicefs format \ ``` :::note -1. juicefs uses public [schema](https://www.postgresql.org/docs/current/ddl-schemas.html) by default, if you want to use a `non-public schema`, you need to specify `search_path` in the connection string parameter. e.g `postgres://user:mypassword@192.168.1.6:5432/juicefs?search_path=pguser1` + +1. JuiceFS uses public [schema](https://www.postgresql.org/docs/current/ddl-schemas.html) by default, if you want to use a `non-public schema`, you need to specify `search_path` in the connection string parameter. e.g `postgres://user:mypassword@192.168.1.6:5432/juicefs?search_path=pguser1` 2. If the `public schema` is not the first hit in the `search_path` configured on the PostgreSQL server, the `search_path` parameter must be explicitly set in the connection string. -3. The `search_path` connection parameter can be set to multiple schemas natively, but currently juicefs only supports setting one. `postgres://user:mypassword@192.168.1.6:5432/juicefs?search_path=pguser1,public` will be considered illegal. +3. The `search_path` connection parameter can be set to multiple schemas natively, but currently JuiceFS only supports setting one. `postgres://user:mypassword@192.168.1.6:5432/juicefs?search_path=pguser1,public` will be considered illegal. ::: - ### Mount a file system ```shell @@ -213,7 +214,7 @@ Additional parameters can be appended to the metadata URL. More details can be s ## MySQL -[MySQL](https://www.mysql.com/) is one of the most popular open source relational databases, and is often preferred for web applications. +[MySQL](https://www.mysql.com) is one of the most popular open source relational databases, and is often preferred for web applications. ### Create a file system @@ -546,8 +547,8 @@ If you need to enable TLS, the general steps are as follows. For details, please #### Use OpenSSL to generate a CA certificate ```shell -$ openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout private.key -out cert.crt -$ cat cert.crt private.key > fdb.pem +openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout private.key -out cert.crt +cat cert.crt private.key > fdb.pem ``` #### Configure TLS diff --git a/docs/en/guide/how_to_set_up_object_storage.md b/docs/en/guide/how_to_set_up_object_storage.md index 5ad5e2b02398..8e9c44f493a3 100644 --- a/docs/en/guide/how_to_set_up_object_storage.md +++ b/docs/en/guide/how_to_set_up_object_storage.md @@ -22,11 +22,11 @@ For example, the following command uses Amazon S3 object storage to create a fil ```shell juicefs format --storage s3 \ - --bucket https://myjuicefs.s3.us-east-2.amazonaws.com \ - --access-key abcdefghijklmn \ - --secret-key nmlkjihgfedAcBdEfg \ - redis://192.168.1.6/1 \ - myjfs + --bucket https://myjuicefs.s3.us-east-2.amazonaws.com \ + --access-key abcdefghijklmn \ + --secret-key nmlkjihgfedAcBdEfg \ + redis://192.168.1.6/1 \ + myjfs ``` ## Other options @@ -43,9 +43,9 @@ It is more secure to pass credentials via environment variables `ACCESS_KEY` and export ACCESS_KEY=abcdefghijklmn export SECRET_KEY=nmlkjihgfedAcBdEfg juicefs format --storage s3 \ - --bucket https://myjuicefs.s3.us-east-2.amazonaws.com \ - redis://192.168.1.6/1 \ - myjfs + --bucket https://myjuicefs.s3.us-east-2.amazonaws.com \ + redis://192.168.1.6/1 \ + myjfs ``` Public clouds typically allow users to create IAM (Identity and Access Management) roles, such as [AWS IAM role](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles.html) or [Alibaba Cloud RAM role](https://www.alibabacloud.com/help/doc-detail/110376.htm), which can be assigned to VM instances. If the cloud server instance already has read and write access to the object storage, there is no need to specify `--access-key` and `--secret-key`. @@ -60,7 +60,7 @@ Different cloud vendors have different acquisition methods. Generally, the Acces ### How to set up object storage with temporary access credentials -The way of using temporary credentials is not much different from using permanent credentials. When formatting the file system, pass the Access Key, Secret Key, and token of the temporary credentials through `--access-key`, `--secret-key`, ` --session-token` can set the value. E.g: +The way of using temporary credentials is not much different from using permanent credentials. When formatting the file system, pass the Access Key, Secret Key, and token of the temporary credentials through `--access-key`, `--secret-key`, `--session-token` can set the value. E.g: ```bash juicefs format \ @@ -73,7 +73,7 @@ juicefs format \ test1 ``` -Since temporary credentials expire quickly, the key is how to update the temporary credentials that JuiceFS uses after `format` the filesystem before the temporary credentials expire. The credential update process is divided into two steps: +Since temporary credentials expire quickly, the key is how to update the temporary credentials that JuiceFS uses after `format` the file system before the temporary credentials expire. The credential update process is divided into two steps: 1. Before the temporary certificate expires, apply for a new temporary certificate; 2. Without stopping the running JuiceFS, use the `juicefs config Meta-URL --access-key xxxx --secret-key xxxx --session-token xxxx` command to hot update the access credentials. @@ -139,10 +139,10 @@ If you wish to use a storage system that is not listed, feel free to submit a re | [Huawei Cloud OBS](#huawei-cloud-obs) | `obs` | | [Baidu Object Storage](#baidu-object-storage) | `bos` | | [Volcano Engine TOS](#volcano-engine-tos) | `tos` | -| [Kingsoft KS3](#kingsoft-ks3) | `ks3` | +| [Kingsoft Cloud KS3](#kingsoft-cloud-ks3) | `ks3` | | [NetEase Object Storage](#netease-object-storage) | `nos` | | [QingStor](#qingstor) | `qingstor` | -| [Qiniu Object Storage](#qiniu-object-storage) | `qiniu` | +| [Qiniu](#qiniu) | `qiniu` | | [Sina Cloud Storage](#sina-cloud-storage) | `scs` | | [CTYun OOS](#ctyun-oos) | `oos` | | [ECloud Object Storage](#ecloud-object-storage) | `eos` | @@ -405,16 +405,16 @@ Storj DCS is an S3-compatible storage, using `s3` for option `--storage`. The se ```shell juicefs format \ - --storage s3 \ - --bucket https://gateway..storjshare.io/ \ - --access-key \ - --secret-key \ - ... \ + --storage s3 \ + --bucket https://gateway..storjshare.io/ \ + --access-key \ + --secret-key \ + ... \ myjfs ``` :::caution -Storj DCS [ListObjects](https://github.com/storj/gateway-st/blob/main/docs/s3-compatibility.md#listobjects) API is not fully S3 compatible (result list is not sorted), so some features of juicefs do not work. For example, `juicefs gc`, `juicefs fsck`, `juicefs sync`, `juicefs destroy`. And when using `juicefs mount`, you need to disable [automatic-backup](../administration/metadata_dump_load.md#automatic-backup) function by adding `--backup-meta 0`. +Storj DCS [ListObjects](https://github.com/storj/gateway-st/blob/main/docs/s3-compatibility.md#listobjects) API is not fully S3 compatible (result list is not sorted), so some features of JuiceFS do not work. For example, `juicefs gc`, `juicefs fsck`, `juicefs sync`, `juicefs destroy`. And when using `juicefs mount`, you need to disable [automatic-backup](../administration/metadata_dump_load.md#automatic-backup) function by adding `--backup-meta 0`. ::: ## Vultr Object Storage @@ -423,19 +423,19 @@ Vultr Object Storage is an S3-compatible storage, using `s3` for `--storage` opt ```shell juicefs format \ - --storage s3 \ - --bucket https://.ewr1.vultrobjects.com/ \ - --access-key \ - --secret-key \ - ... \ + --storage s3 \ + --bucket https://.ewr1.vultrobjects.com/ \ + --access-key \ + --secret-key \ + ... \ myjfs ``` -Please find the access and secret keys for object storage [in the customer portal](https://my.vultr.com/objectstorage/). +Please find the access and secret keys for object storage [in the customer portal](https://my.vultr.com/objectstorage). ## Cloudflare R2 {#r2} -R2 is Cloudflare's object storage service and provides an S3-compatible API, so usage is the same as Amazon S3. Please refer to [Documentation](https://developers.cloudflare.com/r2/data-access/s3-api/tokens/) to learn how to create Access Key and Secret Key. +R2 is Cloudflare's object storage service and provides an S3-compatible API, so usage is the same as Amazon S3. Please refer to [Documentation](https://developers.cloudflare.com/r2/data-access/s3-api/tokens) to learn how to create Access Key and Secret Key. ```shell juicefs format \ @@ -583,7 +583,6 @@ juicefs format \ myjfs ``` - ## Kingsoft Cloud KS3 Please follow [this document](https://docs.ksyun.com/documents/1386) to learn how to get access key and secret key. @@ -830,8 +829,8 @@ sudo docker run -d --name minio \ After container is up and running, you can access: -- **MinIO API**: [http://127.0.0.1:9000](http://127.0.0.1:9000/), this is the object storage service address used by JuiceFS -- **MinIO UI**: [http://127.0.0.1:9900](http://127.0.0.1:9900/), this is used to manage the object storage itself, not related to JuiceFS +- **MinIO API**: [http://127.0.0.1:9000](http://127.0.0.1:9000), this is the object storage service address used by JuiceFS +- **MinIO UI**: [http://127.0.0.1:9900](http://127.0.0.1:9900), this is used to manage the object storage itself, not related to JuiceFS The initial Access Key and Secret Key of the object storage are both `minioadmin`. @@ -848,6 +847,7 @@ juicefs format \ ``` :::note + 1. Currently, JuiceFS only supports path-style MinIO URI addresses, e.g., `http://127.0.0.1:9000/myjfs`. 1. The `MINIO_REGION` environment variable can be used to set the region of MinIO, if not set, the default is `us-east-1`. 1. When using Multi-Node MinIO deployment, consider setting using a DNS address in the service endpoint, resolving to all MinIO Node IPs, as a simple load-balancer, e.g. `http://minio.example.com:9000/myjfs` @@ -1119,9 +1119,9 @@ Local storage is usually only used to help users understand how JuiceFS works an ## SFTP/SSH {#sftp} -SFTP - Secure File Transfer Protocol，It is not a type of storage. To be precise, JuiceFS reads and writes to disks on remote hosts via SFTP/SSH, thus allowing any SSH-enabled operating system to be used as a data storage for JuiceFS. +SFTP - Secure File Transfer Protocol, It is not a type of storage. To be precise, JuiceFS reads and writes to disks on remote hosts via SFTP/SSH, thus allowing any SSH-enabled operating system to be used as a data storage for JuiceFS. -For example, the following command uses the sftp protocol to connect to the remote server `192.168.1.11` and creates the `myjfs/` folder in the `$HOME` directory of user `tom` as the data storage of JuiceFS. +For example, the following command uses the SFTP protocol to connect to the remote server `192.168.1.11` and creates the `myjfs/` folder in the `$HOME` directory of user `tom` as the data storage of JuiceFS. ```shell juicefs format \ diff --git a/docs/en/guide/mount_at_boot.md b/docs/en/guide/mount_at_boot.md index 43c4836d302b..37219359e412 100644 --- a/docs/en/guide/mount_at_boot.md +++ b/docs/en/guide/mount_at_boot.md @@ -24,13 +24,14 @@ By default, CentOS 6 will NOT mount network file system after boot, run followin ```bash sudo chkconfig --add netfs ``` + ::: ## macOS Create a file named `io.juicefs..plist` under `~/Library/LaunchAgents`. Replace `` with JuiceFS file system name. Add following contents to the file (again, replace `NAME`, `PATH-TO-JUICEFS`, `META-URL`, `MOUNTPOINT` and `MOUNT-OPTIONS` with appropriate value): -```xml title="io.juicefs..plist" +```xml @@ -60,19 +61,20 @@ If there are multiple mount options, they can be set in multiple lines, for exam --cache-size 204800 ``` + ::: Use following commands to load the file created in the previous step and test whether the loading is successful. **Please make sure the metadata engine is running properly.** ```bash -$ launchctl load ~/Library/LaunchAgents/io.juicefs..plist -$ launchctl start ~/Library/LaunchAgents/io.juicefs. -$ ls +launchctl load ~/Library/LaunchAgents/io.juicefs..plist +launchctl start ~/Library/LaunchAgents/io.juicefs. +ls ``` If mount failed, you can add following configuration to `io.juicefs..plist` file for debug purpose: -```xml title="io.juicefs..plist" +```xml StandardOutPath /tmp/juicefs.out StandardErrorPath @@ -82,10 +84,10 @@ If mount failed, you can add following configuration to `io.juicefs..plist Use following commands to reload the latest configuration and inspect the output: ```bash -$ launchctl unload ~/Library/LaunchAgents/io.juicefs..plist -$ launchctl load ~/Library/LaunchAgents/io.juicefs..plist -$ cat /tmp/juicefs.out -$ cat /tmp/juicefs.err +launchctl unload ~/Library/LaunchAgents/io.juicefs..plist +launchctl load ~/Library/LaunchAgents/io.juicefs..plist +cat /tmp/juicefs.out +cat /tmp/juicefs.err ``` If you install Redis server by Homebrew, you could use following command to start it at boot: @@ -96,7 +98,7 @@ brew services start redis Then add following configuration to `io.juicefs..plist` file for ensure Redis server is loaded: -```xml title="io.juicefs..plist" +```xml KeepAlive OtherJobEnabled diff --git a/docs/en/guide/sync.md b/docs/en/guide/sync.md index 081ad7f62c0b..472ff193fae9 100644 --- a/docs/en/guide/sync.md +++ b/docs/en/guide/sync.md @@ -26,7 +26,7 @@ Arguments: Address syntax follows `[NAME://][ACCESS_KEY:SECRET_KEY[:TOKEN]@]BUCKET[.ENDPOINT][/PREFIX]`. :::tip -Minio only supports path style, and the address format is `minio://[ACCESS_KEY:SECRET_KEY[:TOKEN]@]ENDPOINT/BUCKET[/PREFIX]` +MinIO only supports path style, and the address format is `minio://[ACCESS_KEY:SECRET_KEY[:TOKEN]@]ENDPOINT/BUCKET[/PREFIX]` ::: Explanation: @@ -57,19 +57,19 @@ juicefs sync ./te ~/mnt/ab the `test` directory synchronized to the destination directory will be renamed as `abst`, and `text` will be `abxt`. -### Required Storages +### Required Storages {#required-storages} Assume that we have the following storages. -1. **Object Storage A** +1. **Object Storage A** - Bucket name: aaa - Endpoint: `https://aaa.s3.us-west-1.amazonaws.com` -2. **Object Storage B** +2. **Object Storage B** - Bucket name: bbb - Endpoint: `https://bbb.oss-cn-hangzhou.aliyuncs.com` -3. **JuiceFS File System** +3. **JuiceFS File System** - Metadata Storage: `redis://10.10.0.8:6379/1` - Object Storage: `https://ccc-125000.cos.ap-beijing.myqcloud.com` @@ -80,7 +80,7 @@ All of the storages share the same **secret key**: ### Synchronize between Object Storage and JuiceFS -The following command synchronizes `movies` directory on [Object Storage A](#bucketA) to [JuiceFS File System](#bucketC). +The following command synchronizes `movies` directory on [Object Storage A](#required-storages) to [JuiceFS File System](#required-storages). ```shell # mount JuiceFS @@ -89,7 +89,7 @@ sudo juicefs mount -d redis://10.10.0.8:6379/1 /mnt/jfs juicefs sync s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com/movies/ /mnt/jfs/movies/ ``` -The following command synchronizes `images` directory from [JuiceFS File System](#bucketC) to [Object Storage A](#bucketA). +The following command synchronizes `images` directory from [JuiceFS File System](#required-storages) to [Object Storage A](#required-storages). ```shell # mount JuiceFS @@ -100,7 +100,7 @@ juicefs sync /mnt/jfs/images/ s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.co ### Synchronize between Object Storages -The following command synchronizes all of the data on [Object Storage A](#bucketA) to [Object Storage B](#bucketB). +The following command synchronizes all of the data on [Object Storage A](#required-storages) to [Object Storage B](#required-storages). ```shell juicefs sync s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com oss://ABCDEFG:HIJKLMN@bbb.oss-cn-hangzhou.aliyuncs.com @@ -112,7 +112,7 @@ juicefs sync s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com oss://ABCDEFG:H The subcommand `sync` works incrementally by default, which compares the differences between the source and target paths, and then synchronizes only the differences. You can add option `--update` or `-u` to keep updated the `mtime` of the synchronized directories and files. -For full synchronization, i.e. synchronizing all the time no matter whether the destination files exist or not, you can add option `--force-update` or `-f`. For example, the following command fully synchronizes `movies` directory from [Object Storage A](#bucketA) to [JuiceFS File System](#bucketC). +For full synchronization, i.e. synchronizing all the time no matter whether the destination files exist or not, you can add option `--force-update` or `-f`. For example, the following command fully synchronizes `movies` directory from [Object Storage A](#required-storages) to [JuiceFS File System](#required-storages). ```shell # mount JuiceFS @@ -135,7 +135,7 @@ The pattern matching function of the subcommand `sync` is similar to that of `rs #### Exclude Directories/Files -Option `--exclude` can be used to exclude patterns. The following example shows a full synchronization from [JuiceFS File System](#bucketC) to [Object Storage A](#bucketA), excluding hidden directories and files: +Option `--exclude` can be used to exclude patterns. The following example shows a full synchronization from [JuiceFS File System](#required-storages) to [Object Storage A](#required-storages), excluding hidden directories and files: :::note Remark Linux regards a directory or a file with a name starts with `.` as hidden. @@ -176,7 +176,7 @@ In addition, you can set option `--bwlimit` in the unit `Mbps` to limit the band The subcommand `sync` only synchronizes file objects and directories containing file objects, and skips empty directories by default. To synchronize empty directories, you can use `--dirs` option. -In addition, when synchronizing between file systems such as local, sftp and hdfs, option `--perms` can be used to synchronize file permissions from the source to the destination. +In addition, when synchronizing between file systems such as local, SFTP and HDFS, option `--perms` can be used to synchronize file permissions from the source to the destination. ### Copy Symbolic Links @@ -205,7 +205,7 @@ Passwordless SSH login from Manager to Workers should be enabled before configur Manager distributes JuiceFS client programs to Workers. To avoid compatibility issues, please make sure the Workers use the same operating system of the same architecture as the Manager. ::: -For example, synchronize data from [Object Storage A](#bucketA) to [Object Storage B](#bucketB) concurrently with multiple machines. +For example, synchronize data from [Object Storage A](#required-storages) to [Object Storage B](#required-storages) concurrently with multiple machines. ```shell juicefs sync --worker bob@192.168.1.20,tom@192.168.8.10 s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com oss://ABCDEFG:HIJKLMN@bbb.oss-cn-hangzhou.aliyuncs.com @@ -221,7 +221,7 @@ Please set the SSH port in `.ssh/config` on the Manager machine if Workers don't ### Geo-disaster Recovery Backup -Geo-disaster recovery backup backs up files, and thus the files stored in JuiceFS should be synchronized to other object storages. For example, synchronize files in [JuiceFS File System](#bucketC) to [Object Storage A](#bucketA): +Geo-disaster recovery backup backs up files, and thus the files stored in JuiceFS should be synchronized to other object storages. For example, synchronize files in [JuiceFS File System](#required-storages) to [Object Storage A](#required-storages): ```shell # mount JuiceFS @@ -230,19 +230,19 @@ sudo juicefs mount -d redis://10.10.0.8:6379/1 /mnt/jfs sudo juicefs sync /mnt/jfs/ s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com/ ``` -After sync, you can see all the files in [Object Storage A](#bucketA). +After sync, you can see all the files in [Object Storage A](#required-storages). ### Build a JuiceFS Data Copy Unlike the file-oriented disaster recovery backup, the purpose of creating a copy of JuiceFS data is to establish a mirror with exactly the same content and structure as the JuiceFS data storage. When the object storage in use fails, you can switch to the data copy by modifying the configurations. Note that only the file data of the JuiceFS file system is replicated, and the metadata stored in the metadata engine still needs to be backed up. -This requires manipulating the underlying object storage directly to synchronize it with the target object storage. For example, to take the [Object Storage B](#bucketB) as the data copy of the [JuiceFS File System](#bucketC): +This requires manipulating the underlying object storage directly to synchronize it with the target object storage. For example, to take the [Object Storage B](#required-storages) as the data copy of the [JuiceFS File System](#required-storages): ```shell juicefs sync cos://ABCDEFG:HIJKLMN@ccc-125000.cos.ap-beijing.myqcloud.com oss://ABCDEFG:HIJKLMN@bbb.oss-cn-hangzhou.aliyuncs.com ``` -After sync, the file content and hierarchy in the [Object Storage B](#bucketB) are exactly the same as the [underlying object storage of JuiceFS](#bucketC). +After sync, the file content and hierarchy in the [Object Storage B](#required-storages) are exactly the same as the [underlying object storage of JuiceFS](#required-storages). :::tip Tips Please read [architecture](../introduction/architecture.md) for more details about how JuiceFS stores files. diff --git a/docs/en/introduction/README.md b/docs/en/introduction/README.md index cabe048c8338..23ae4c9863ca 100644 --- a/docs/en/introduction/README.md +++ b/docs/en/introduction/README.md @@ -5,8 +5,6 @@ slug: . pagination_next: introduction/architecture --- -# Introduction - **JuiceFS** is an open source, high-performance distributed file system designed for the cloud, released under the Apache License 2.0. It provides full [POSIX](https://en.wikipedia.org/wiki/POSIX) compatibility, allowing almost all kinds of object storage to be used locally as massive local disks and to be mounted and read on different cross-platform and cross-region hosts at the same time. JuiceFS separates "data" and "metadata" storage, files are split into chunks and stored in [object storage](../guide/how_to_set_up_object_storage.md#supported-object-storage) like Amazon S3, and the corresponding metadata can be stored in various [databases](../guide/how_to_set_up_metadata_engine.md) such as Redis, MySQL, TiKV, SQLite, etc., based on the scenarios and requirements. diff --git a/docs/en/introduction/comparison/juicefs_vs_alluxio.md b/docs/en/introduction/comparison/juicefs_vs_alluxio.md index f4bbcc143750..953432a37985 100644 --- a/docs/en/introduction/comparison/juicefs_vs_alluxio.md +++ b/docs/en/introduction/comparison/juicefs_vs_alluxio.md @@ -27,49 +27,49 @@ The following table shows the differences of main features between Alluxio and J | Open source license | Apache License 2.0 | Apache License 2.0 | | Open source date | 2014 | 2021.1 | -### Storage format +## Storage format A single file is [stored](../architecture.md#how-juicefs-store-files) in JuiceFS in three levels: chunk, slice and block. A file will be split into multiple blocks, and be compressed and encrypted (optional) before it is stored into object storage. Alluxio stores files as _objects_ into UFS. It doesn't split files info blocks like what JuiceFS does. -### Cache granularity +## Cache granularity The [default block size](../architecture.md#how-juicefs-store-files) of JuiceFS is 4MiB, and thus its granularity is smaller compared to 64MiB of Alluxio. Smaller block size is better for random read (e.g. Parquet and ORC) workload, i.e. cache management will be more efficiency. -### Hadoop-compatible +## Hadoop-compatible JuiceFS is [HDFS-compatible](../../deployment/hadoop_java_sdk.md). Not only compatible with Hadoop 2.x and Hadoop 3.x, but also compatible for various components in Hadoop ecosystem. -### Kubernetes CSI Driver +## Kubernetes CSI Driver JuiceFS provides [Kubernetes CSI Driver](https://github.com/juicedata/juicefs-csi-driver) to help people who want to use JuiceFS in Kubernetes. Alluxio provides [Kubernetes CSI Driver](https://github.com/Alluxio/alluxio-csi) too, but this project seems not active and is not officially supported by Alluxio. -### Fully POSIX-compatible +## Fully POSIX-compatible JuiceFS is [fully POSIX-compatible](../../reference/posix_compatibility.md). A pjdfstest from [JD.com](https://www.slideshare.net/Alluxio/using-alluxio-posix-fuse-api-in-jdcom) shows that Alluxio didn't pass the POSIX compatibility test, e.g. Alluxio doesn't support symbolic link, truncate, fallocate, append, xattr, mkfifo, mknod and utimes. Besides the things covered by pjdfstest, JuiceFS also provides close-to-open consistency, atomic metadata operation, mmap, fallocate with punch hole, xattr, BSD locks (flock) and POSIX record locks (fcntl). -### Atomic metadata operation +## Atomic metadata operation A metadata operation in Alluxio consists of two steps: the first step is to modify the state of Alluxio master, and the second step is to send request to UFS. Thus, we can see that the metadata operation isn't atomic. The state is unpredictable when the operation is being executed or any failures happen. Alluxio requires UFS to implement metadata operations, for example, rename file operation will become copy and delete operations. Thanks to [Redis transaction](https://redis.io/topics/transactions), **most of the metadata operations of JuiceFS are atomic**, e.g. rename file, delete file, rename directory. You don't have to worry about the consistency and performance. -### Consistency +## Consistency Alluxio loads metadata from the UFS as needed. It doesn't have information about UFS at startup. By default, Alluxio expects that all modifications on UFS are completed through Alluxio. If changes are made directly on UFS, you'll need to sync metadata between Alluxio and UFS either manually or periodically. As we have mentioned in ["Atomic metadata operation"](#atomic-metadata-operation) section, the two-step metadata operation may result in inconsistency. JuiceFS provides strong consistency for both metadata and data. **The metadata service of JuiceFS is the single source of truth, not a mirror of UFS.** The metadata service doesn't rely on object storage to obtain metadata, and object storage is just treated as unlimited block storage. Thus, there will not be any inconsistency between JuiceFS and object storage. -### Data compression +## Data compression JuiceFS supports to use [LZ4](https://lz4.github.io/lz4) or [Zstandard](https://facebook.github.io/zstd) to compress all your data. Alluxio doesn't provide this feature. -### Data encryption +## Data encryption JuiceFS supports data encryption in transit and at rest. Alluxio community edition doesn't provide this feature, while [enterprise edition](https://docs.alluxio.io/ee/user/stable/en/operation/Security.html#end-to-end-data-encryption) does. -### Zero-effort operation +## Zero-effort operation Alluxio's architecture can be divided into 3 components: master, worker and client. A typical cluster consists of a single leading master, standby masters, a job master, standby job masters, workers, and job workers. You need to maintain all these masters and workers by yourself. diff --git a/docs/en/introduction/comparison/juicefs_vs_cephfs.md b/docs/en/introduction/comparison/juicefs_vs_cephfs.md index 4fa84674f6a1..ae731a8c6765 100644 --- a/docs/en/introduction/comparison/juicefs_vs_cephfs.md +++ b/docs/en/introduction/comparison/juicefs_vs_cephfs.md @@ -23,7 +23,7 @@ CephFS is a complete and independent system used mainly for private cloud deploy - Metadata Server (MDS): stateless, and theoretically horizontally scalable. There are mature primary-secondary mechanisms, while performance and stability concerns still exist when deploying with multiple primaries; production environments typically adopt one-primary-multiple-secondary or multi-primary static isolation. - Persistent: independent RADOS storage pools, usually being used with SSD or higher performance hardware storage - Data: stored in one or more RADOS storage pools, with supports of specifying different configurations by _Layout_ such as chunk size (default 4 MiB), redundancy (multi-copy, EC), etc. -- Client: supports kernel client (kcephfs), user state client (ceph-fuse) and libcephfs based SDKs for C++, Python, etc.; recently the community has also provided a Windows client (ceph-dokan). VFS object for Samba and FSAL module for NFS-Ganesha are also available in the ecosystem. +- Client: supports kernel client (`kcephfs`), user state client (`ceph-fuse`) and libcephfs based SDKs for C++, Python, etc.; recently the community has also provided a Windows client (`ceph-dokan`). VFS object for Samba and FSAL module for NFS-Ganesha are also available in the ecosystem. #### JuiceFS diff --git a/docs/en/introduction/comparison/juicefs_vs_s3ql.md b/docs/en/introduction/comparison/juicefs_vs_s3ql.md index 817ac5eddd47..102a8257a1d9 100644 --- a/docs/en/introduction/comparison/juicefs_vs_s3ql.md +++ b/docs/en/introduction/comparison/juicefs_vs_s3ql.md @@ -30,7 +30,7 @@ S3QL was no longer maintained since November 9, 2022, see [S3QL Repository](http | Metadata engine | SQLite | Redis, MySQL, SQLite, TiKV | | Storage engine | Object Storage, Local | Object Storage, WebDAV, Local | | Operating system | Unix-like | Linux, macOS, Windows | -| Compression algorithm | LZMA, bzip2, gzip | lz4, zstd | +| Compression algorithm | LZMA, bzip2, gzip | LZ4, zstd | | Encryption algorithm | AES-256 | AES-GCM, RSA | | POSIX compatible | ✓ | ✓ | | Hard link | ✓ | ✓ | @@ -62,7 +62,7 @@ During the installation process, we use Rocky Linux 8.4 operating system (kernel #### S3QL -S3QL is developed in Python and requires python-devel 3.7 or higher to be installed. In addition, at least the following dependencies must be satisfied: fuse3-devel, gcc, pyfuse3, sqlite-devel, cryptography, defusedxml, apsw, dugong. In addition, you need to pay special attention to Python's package dependencies and location issues. +S3QL is developed in Python and requires `python-devel` 3.7 or higher to be installed. In addition, at least the following dependencies must be satisfied: `fuse3-devel`, `gcc`, `pyfuse3`, `sqlite-devel`, `cryptography`, `defusedxml`, `apsw`, `dugong`. In addition, you need to pay special attention to Python's package dependencies and location issues. S3QL will install 12 binary programs in the system, and each program provides an independent function, as shown in the figure below. @@ -76,7 +76,7 @@ JuiceFS is developed in Go and can be used directly by downloading the pre-compi Both S3QL and JuiceFS use database to store metadata. S3QL only supports SQLite databases, while JuiceFS supports databases such as Redis, TiKV, MySQL, MariaDB, PostgreSQL, and SQLite. -Here we create a file system using S3QL and JuiceFS separately with locally created Minio as object storage: +Here we create a file system using S3QL and JuiceFS separately with locally created MinIO as object storage: #### S3QL diff --git a/docs/en/reference/command_reference.md b/docs/en/reference/command_reference.md index 8fd4dc5105c0..cd50590ea351 100644 --- a/docs/en/reference/command_reference.md +++ b/docs/en/reference/command_reference.md @@ -130,7 +130,7 @@ source /etc/bash_completion.d/juicefs ## Commands -### juicefs format {#format} +### `juicefs format` {#format} #### Description @@ -157,7 +157,7 @@ storage space limit in GiB, set to 0 disable limit (default: 0). Capacity will i the limit for number of inodes (0 means unlimited) (default: 0) `--compress value`
-compression algorithm, choose from lz4, zstd, none (default: "none"). Enabling compression will inevitably affect performance, choose wisely +compression algorithm, choose from `lz4`, `zstd`, `none` (default: "none"). Enabling compression will inevitably affect performance, choose wisely `--shards value`
store the blocks into N buckets by hash of key (default: 0), when N is greater than 0, `bucket` should to be in the form of `%d`, e.g. `--bucket "juicefs-%d"` @@ -210,7 +210,7 @@ $ juicefs format sqlite3://myjfs.db myjfs --inode 1000000 --capacity 102400 $ juicefs format sqlite3://myjfs.db myjfs --trash-days 0 ``` -### juicefs mount {#mount} +### `juicefs mount` {#mount} #### Description @@ -222,8 +222,8 @@ Mount a volume. The volume must be formatted in advance. juicefs mount [command options] META-URL MOUNTPOINT ``` -- **META-URL**: Database URL for metadata storage, see "[JuiceFS supported metadata engines](../guide/how_to_set_up_metadata_engine.md)" for details. -- **MOUNTPOINT**: file system mount point, e.g. `/mnt/jfs`, `Z:`. +- `META-URL`: Database URL for metadata storage, see "[JuiceFS supported metadata engines](../guide/how_to_set_up_metadata_engine.md)" for details. +- `MOUNTPOINT`: file system mount point, e.g. `/mnt/jfs`, `Z:`. #### Options @@ -231,7 +231,7 @@ juicefs mount [command options] META-URL MOUNTPOINT address to export metrics (default: "127.0.0.1:9567") `--consul value`
-consul address to register (default: "127.0.0.1:8500") +Consul address to register (default: "127.0.0.1:8500") `--no-usage-report`
do not send usage report (default: false) @@ -350,7 +350,7 @@ $ juicefs mount redis://localhost /mnt/jfs -d --read-only $ juicefs mount redis://localhost /mnt/jfs --backup-meta 0 ``` -### juicefs umount +### `juicefs umount` #### Description @@ -370,10 +370,10 @@ force unmount a busy mount point (default: false) #### Examples ```bash -$ juicefs umount /mnt/jfs +juicefs umount /mnt/jfs ``` -### juicefs gateway +### `juicefs gateway` #### Description @@ -490,17 +490,17 @@ disable background jobs (clean-up, backup, etc.) (default: false) umask for new file and directory in octal (default: "022") `--consul value`
-consul address to register (default: "127.0.0.1:8500") +Consul address to register (default: "127.0.0.1:8500") #### Examples ```bash -$ export MINIO_ROOT_USER=admin -$ export MINIO_ROOT_PASSWORD=12345678 -$ juicefs gateway redis://localhost localhost:9000 +export MINIO_ROOT_USER=admin +export MINIO_ROOT_PASSWORD=12345678 +juicefs gateway redis://localhost localhost:9000 ``` -### juicefs webdav +### `juicefs webdav` #### Description @@ -602,7 +602,7 @@ path for JuiceFS access log address to export metrics (default: "127.0.0.1:9567") `--consul value`
-consul address to register (default: "127.0.0.1:8500") +Consul address to register (default: "127.0.0.1:8500") `--no-usage-report`
do not send usage report (default: false) @@ -616,10 +616,10 @@ interval (in seconds) to send heartbeat; it's recommended that all clients use t #### Examples ```bash -$ juicefs webdav redis://localhost localhost:9007 +juicefs webdav redis://localhost localhost:9007 ``` -### juicefs sync +### `juicefs sync` #### Description @@ -688,7 +688,7 @@ don't exclude Key matching PATTERN, need to be used with `--exclude` option `--links, -l`
copy symlinks as symlinks (default: false) -` --limit value`
+`--limit value`
limit the number of objects that will be processed (default: -1) `--manager value`
@@ -729,7 +729,7 @@ $ juicefs sync --include='a1/b1' --exclude='a[1-9]/b*' s3://mybucket.s3.us-east- $ juicefs sync --include='a1/b1' --exclude='a*' --include='b2' --exclude='b?' s3://mybucket.s3.us-east-2.amazonaws.com/ /mnt/jfs/ ``` -### juicefs rmr +### `juicefs rmr` #### Description @@ -746,10 +746,10 @@ juicefs rmr PATH ... #### Examples ```bash -$ juicefs rmr /mnt/jfs/foo +juicefs rmr /mnt/jfs/foo ``` -### juicefs info {#info} +### `juicefs info` {#info} #### Description @@ -783,7 +783,7 @@ $ cd /mnt/jfs $ juicefs info -i 100 ``` -### juicefs bench +### `juicefs bench` #### Description @@ -824,7 +824,7 @@ $ juicefs bench /mnt/jfs -p 4 $ juicefs bench /mnt/jfs --big-file-size 0 ``` -### juicefs objbench +### `juicefs objbench` #### Description @@ -871,7 +871,7 @@ number of concurrent threads (default: 4) $ ACCESS_KEY=myAccessKey SECRET_KEY=mySecretKey juicefs objbench --storage s3 https://mybucket.s3.us-east-2.amazonaws.com -p 6 ``` -### juicefs gc {#gc} +### `juicefs gc` {#gc} #### Description @@ -909,7 +909,7 @@ $ juicefs gc redis://localhost --compact $ juicefs gc redis://localhost --delete ``` -### juicefs fsck +### `juicefs fsck` #### Description @@ -924,10 +924,10 @@ juicefs fsck [command options] META-URL #### Examples ```bash -$ juicefs fsck redis://localhost +juicefs fsck redis://localhost ``` -### juicefs profile +### `juicefs profile` #### Description @@ -953,7 +953,6 @@ only track specified PIDs(separated by comma ,) `--interval value`
flush interval in seconds; set it to 0 when replaying a log file to get an immediate result (default: 2) - #### Examples ```bash @@ -969,7 +968,7 @@ $ juicefs profile /tmp/jfs.alog $ juicefs profile /tmp/jfs.alog --interval 0 ``` -### juicefs stats +### `juicefs stats` #### Description @@ -984,7 +983,7 @@ juicefs stats [command options] MOUNTPOINT #### Options `--schema value`
-schema string that controls the output sections (u: usage, f: fuse, m: meta, c: blockcache, o: object, g: go) (default: "ufmco") +schema string that controls the output sections (u: `usage`, f: `fuse`, m: `meta`, c: `blockcache`, o: `object`, g: `go`) (default: "ufmco") `--interval value`
interval in seconds between each update (default: 1) @@ -1001,7 +1000,7 @@ $ juicefs stats /mnt/jfs $ juicefs stats /mnt/jfs -l 1 ``` -### juicefs status +### `juicefs status` #### Description @@ -1016,15 +1015,15 @@ juicefs status [command options] META-URL #### Options `--session value, -s value`
-show detailed information (sustained inodes, locks) of the specified session (sid) (default: 0) +show detailed information (sustained inodes, locks) of the specified session (SID) (default: 0) #### Examples ```bash -$ juicefs status redis://localhost +juicefs status redis://localhost ``` -### juicefs warmup +### `juicefs warmup` #### Description @@ -1061,7 +1060,7 @@ $ cat /tmp/filelist $ juicefs warmup -f /tmp/filelist ``` -### juicefs dump +### `juicefs dump` #### Description @@ -1089,7 +1088,7 @@ $ juicefs dump redis://localhost meta-dump $ juicefs dump redis://localhost sub-meta-dump --subdir /dir/in/jfs ``` -### juicefs load +### `juicefs load` #### Description @@ -1106,10 +1105,10 @@ When the FILE is not provided, STDIN will be used instead. #### Examples ```bash -$ juicefs load redis://localhost/1 meta-dump +juicefs load redis://localhost/1 meta-dump ``` -### juicefs config +### `juicefs config` #### Description @@ -1172,7 +1171,7 @@ $ juicefs config redis://localhost --trash-days 7 $ juicefs config redis://localhost --min-client-version 1.0.0 --max-client-version 1.1.0 ``` -### juicefs destroy +### `juicefs destroy` #### Description @@ -1192,10 +1191,10 @@ skip sanity check and force destroy the volume (default: false) #### Examples ```bash -$ juicefs destroy redis://localhost e94d66a8-2339-4abd-b8d8-6812df737892 +juicefs destroy redis://localhost e94d66a8-2339-4abd-b8d8-6812df737892 ``` -### juicefs debug +### `juicefs debug` #### Description diff --git a/docs/en/reference/fuse_mount_options.md b/docs/en/reference/fuse_mount_options.md index 6f82faaf13ad..a482c3b0e347 100644 --- a/docs/en/reference/fuse_mount_options.md +++ b/docs/en/reference/fuse_mount_options.md @@ -4,34 +4,34 @@ sidebar_position: 6 slug: /fuse_mount_options --- -JuiceFS provides several access methods, FUSE is the common one, which is the way to mount the filesystem locally using the `juicefs mount` command. Users can add FUSE mount options for more granular control. +JuiceFS provides several access methods, FUSE is the common one, which is the way to mount the file system locally using the `juicefs mount` command. Users can add FUSE mount options for more granular control. This guide describes the common FUSE mount options for JuiceFS, with two ways to add mount options: 1. Manually execute [`juicefs mount`](../reference/command_reference.md#mount) command, specified by the `-o` option, with multiple options separated by commas. -```bash -juicefs mount -d -o allow_other,writeback_cache sqlite3://myjfs.db ~/jfs -``` + ```bash + juicefs mount -d -o allow_other,writeback_cache sqlite3://myjfs.db ~/jfs + ``` -2. Linux distributions define automounting via `/etc/fstab` by adding options directly to the `options` field, with multiple options separated by commas. +2. Linux distributions define automounting via `/etc/fstab` by adding options directly to the `options` field, with multiple options separated by commas. -``` -# -redis://localhost:6379/1 /jfs juicefs _netdev,allow_other 0 0 -``` + ``` + # + redis://localhost:6379/1 /jfs juicefs _netdev,allow_other 0 0 + ``` ## default_permissions -This option is automatically enabled when JuiceFS is mounted and does not need to be explicitly specified. It will enable the kernel's file access checks, which are performed outside the filesystem. When enabled, both the kernel checks and the filesystem checks must succeed before further operations. +This option is automatically enabled when JuiceFS is mounted and does not need to be explicitly specified. It will enable the kernel's file access checks, which are performed outside the filesystem. When enabled, both the kernel checks and the file system checks must succeed before further operations. :::tip -The kernel performs standard UNIX permission checks based on mode bits, uid/gid, and directory entry ownership. +The kernel performs standard Unix permission checks based on mode bits, UID/GID, and directory entry ownership. ::: ## allow_other -By default, only the user who mounted the filesystem can access the files. The `allow_other` option allows other users (including the root user) to access the files as well. +By default, only the user who mounted the file system can access the files. The `allow_other` option allows other users (including the root user) to access the files as well. By default, this option is only available to the root user, but can be unrestricted by modifying `/etc/fuse.conf` and turning on the `user_allow_other` configuration option. @@ -49,8 +49,8 @@ These two options are used to specify the owner ID and owner group ID of the mou ## debug -This option will output Debug information from the low-level library (go-fuse) to `juicefs.log`. +This option will output Debug information from the low-level library (`go-fuse`) to `juicefs.log`. :::note -This option will output debug information for the low-level library (go-fuse) to `juicefs.log`. Note that this option is different from the global `-debug` option for the JuiceFS client, where the former outputs debug information for the go-fuse library and the latter outputs debug information for the JucieFS client. see the documentation [Fault Diagnosis and Analysis](./fault_diagnosis_and_analysis). +This option will output debug information for the low-level library (`go-fuse`) to `juicefs.log`. Note that this option is different from the global `-debug` option for the JuiceFS client, where the former outputs debug information for the `go-fuse` library and the latter outputs debug information for the JuiceFS client. see the documentation [Fault Diagnosis and Analysis](../administration/fault_diagnosis_and_analysis.md). ::: diff --git a/docs/en/reference/posix_compatibility.md b/docs/en/reference/posix_compatibility.md index d71a6436f283..280b9e9a243a 100644 --- a/docs/en/reference/posix_compatibility.md +++ b/docs/en/reference/posix_compatibility.md @@ -8,7 +8,7 @@ JuiceFS ensures POSIX compatibility with the help of pjdfstest and LTP. ## Pjdfstest - [Pjdfstest](https://github.com/pjd/pjdfstest) is a test suite that helps to test POSIX system calls. JuiceFS passed all of its latest 8813 tests: +[Pjdfstest](https://github.com/pjd/pjdfstest) is a test suite that helps to test POSIX system calls. JuiceFS passed all of its latest 8813 tests: ``` All tests successful. @@ -38,7 +38,7 @@ Besides the features covered by pjdfstest, JuiceFS provides: - POSIX traditional record locks (fcntl). :::note -POSIX record locks are classified as **traditional locks** ("process-associated") and **OFD locks** (Open file description locks), and their locking operation commands are `F_SETLK` and `F_OFD_SETLK` respectively. Due to the implementation of the FUSE kernel module, JuiceFS currently only supports traditional record locks. More details can be found at: https://man7.org/linux/man-pages/man2/fcntl.2.html. +POSIX record locks are classified as **traditional locks** ("process-associated") and **OFD locks** (Open file description locks), and their locking operation commands are `F_SETLK` and `F_OFD_SETLK` respectively. Due to the implementation of the FUSE kernel module, JuiceFS currently only supports traditional record locks. More details can be found at: . ::: ## LTP @@ -54,7 +54,7 @@ JuiceFS passed most of the file system related tests. ### Test Environment - Host: Amazon EC2: c5d.xlarge (4C 8G) -- OS: Ubuntu 20.04.1 LTS (Kernel 5.4.0-1029-aws) +- OS: Ubuntu 20.04.1 LTS (Kernel `5.4.0-1029-aws`) - Object storage: Amazon S3 - JuiceFS version: 0.17-dev (2021-09-16 292f2b65) @@ -63,25 +63,25 @@ JuiceFS passed most of the file system related tests. 1. Download LTP [release](https://github.com/linux-test-project/ltp/releases/download/20210524/ltp-full-20210524.tar.bz2) from GitHub 2. Unarchive, compile and install: -```bash -tar -jvxf ltp-full-20210524.tar.bz2 -cd ltp-full-20210524 -./configure -make all -make install -``` + ```bash + tar -jvxf ltp-full-20210524.tar.bz2 + cd ltp-full-20210524 + ./configure + make all + make install + ``` 3. Change directory to `/opt/ltp` since test tools are installed here: -```bash -cd /opt/ltp -``` + ```bash + cd /opt/ltp + ``` -The test definition files are located under `runtest`. To speed up testing, we delete some pressure cases and unrelated cases in `fs` and `syscalls` (refer to [Appendix](#Appendix), modified files are saved as `fs-jfs` and `syscalls-jfs`), then execute: + The test definition files are located under `runtest`. To speed up testing, we delete some pressure cases and unrelated cases in `fs` and `syscalls` (refer to [Appendix](#Appendix), modified files are saved as `fs-jfs` and `syscalls-jfs`), then execute: -```bash -./runltp -d /mnt/jfs -f fs_bind,fs_perms_simple,fsx,io,smoketest,fs-jfs,syscalls-jfs -``` + ```bash + ./runltp -d /mnt/jfs -f fs_bind,fs_perms_simple,fsx,io,smoketest,fs-jfs,syscalls-jfs + ``` ### Test Result diff --git a/docs/en/release_notes.md b/docs/en/release_notes.md index 1ee9f6442ace..d4b039bd4285 100644 --- a/docs/en/release_notes.md +++ b/docs/en/release_notes.md @@ -6,7 +6,7 @@ For all versions, please see [GitHub Releases](https://github.com/juicedata/juic ## Upgrade to JuiceFS v1.0.0 Beta3 -JuiceFS client has only one binary file, so you only need to replace the old version with the new one when upgrading JuiceFS. +JuiceFS client has only one binary file, so you only need to replace the old version with the new one when upgrading JuiceFS. ### SQL: Update table schema to support encoding other than UTF-8 diff --git a/docs/en/security/encrypt.md b/docs/en/security/encrypt.md index d076d6b93d55..44389ec84d09 100644 --- a/docs/en/security/encrypt.md +++ b/docs/en/security/encrypt.md @@ -16,36 +16,26 @@ Running JuiceFS generally involves the network connection between database and o Public cloud object storage generally supports both HTTP and HTTPS. If no scheme is specified, JuiceFS uses HTTPS by default. For example, the client will identify the bucket in following command as `https://myjfs.s3.ap-southeast-1.amazonaws.com`. -```shell -juicefs format --storage s3 ---bucket myjfs.s3.ap-southeast-1.amazonaws.com -... +```shell {2} +juicefs format --storage s3 \ + --bucket myjfs.s3.ap-southeast-1.amazonaws.com \ + ... ``` -In the case where server and object storage run on the same VPC network, explicitly set the URL scheme to `http` if you don't need an encrypted connection, e.g., `--bucket http://myjfs.s3.ap-southeast-1.amazonaws.com`. +With the above command, the client will recognize the bucket as `https://myjfs.s3.ap-southeast-1.amazonaws.com`. +In the case where server and object storage run on the same VPC network, explicitly set the URL scheme to `http` if you don't need an encrypted connection, e.g., `--bucket http://myjfs.s3.ap-southeast-1.amazonaws.com`. ### Connect to database via TLS/SSL For [all the supported metadata engines](../guide/how_to_set_up_metadata_engine.md), as long as the database supports encryption and has been configured with encryption such as TLS/SSL, JuiceFS can connect to the database through its encrytped channel. For instance, a Redis database configured with TLS can use `rediss://` for connecting. -```shell -juicefs format --storage s3 ---bucket myjfs.s3.ap-southeast-1.amazonaws.com -"rediss://myredis.ap-southeast-1.amazonaws.com:6379/1" myjfs +```shell {3} +juicefs format --storage s3 \ + --bucket myjfs.s3.ap-southeast-1.amazonaws.com \ + "rediss://myredis.ap-southeast-1.amazonaws.com:6379/1" myjfs ``` ----- - -JuiceFS encrypts data during transmission over the network to prevent unauthorized users from eavesdropping on network traffic. - -JuiceFS clients always use HTTPS to upload data to the Object Storage Service, except for the following cases. - -- Uploading to Alibaba Cloud OSS using internal endpoints -- Uploading to UCloud US3 using internal endpoints - ------ - ## Data Encryption At Rest JuiceFS supports Data Encryption At Rest. All data will be encrypted first before being uploaded to object storage. This allows JuiceFS to effectively prevent data leakage. @@ -56,7 +46,6 @@ Data Encryption At Rest of JuiceFS adopts industry-standard encryption methods ( The cached data on the client-side is **NOT** encrypted. Only the root user or owner can access this data. To encrypt the cached data, you can put the cached directory in an encrypted file system or block storage. ::: - ### Encryption algorithm Data Encryption At Rest of JuiceFS combines symmetric encryption and asymmetric encryption, which requires user to create a global RSA private key `M` for the file system. Each object stored in the object storage will have its own random symmetric key `S`. The stored data is encrypted using AES-GCM algorithm with the symmetric key `S`, while `S` is encrypted with the global RSA private key `M`. At last, the RSA key is encrypted using a user-specified passphrase. @@ -72,7 +61,7 @@ Symbol explanation: The detailed process of data encryption is as follows: -- Before writing to an object storage, data blocks are compressed using LZ4 or ZStandard. +- Before writing to an object storage, data blocks are compressed using LZ4 or Zstandard. - A random 256-bit symmetric key `S` and a random seed `N` are generated for each data block. - Each data block is encrypted into `encrypted_data` using AES-GCM algorithm with key `S` and seed `N`. - To avoid the symmetric key `S` from being transmitted in clear text over the network, the symmetric key `S` is encrypted into the cipher text `K` with the RSA key `M`. @@ -86,7 +75,6 @@ The steps for decrypting the data are as follows: - Decrypt the data `encrypted_data` based on AES-GCM using `S` and `N` to get the data block plaintext. - Decompress the data block. - ### Enable Data Encryption At Rest :::note @@ -106,6 +94,7 @@ The RSA private key, usually manually generated by OpenSSL, plays a crtical role ```shell openssl genrsa -out my-priv-key.pem -aes256 2048 ``` + Since the aes256 algorithm is in use, you will be prompted to enter a passphrase (at least 4 bits) to protect your private key. The passphrase can be considered as a password for encrypting the file of the RSA private key, which is also the last layer of security assurance for the RSA private key. :::caution @@ -141,36 +130,38 @@ There is no need to specify extra options while mounting an encrypted file syste ``` 2. Mount file system + ```shell juicefs format --storage s3 \ --encrypt-rsa-key my-priv-key.pem \ ... ``` - When creating a new volume using `juicefs format`, static encryption can be enabled by specifying the RSA private key with the `-encrypt-rsa-key` parameter, which will be saved on the Metadata service. When the private key is password-protected, the password must be specified using the environment variable `JFS_RSA_PASSPHRASE`. Usage: 1. Generate RSA key -```shell -openssl genrsa -out my-priv-key.pem -aes256 2048 -``` -or + ```shell + openssl genrsa -out my-priv-key.pem -aes256 2048 + ``` -```shell -openssl genpkey -algorithm RSA -out my-priv-key.pem -pkeyopt rsa_keygen_bits:2048 -aes-256-cbc -``` + or -2. Provide the key when formatting + ```shell + openssl genpkey -algorithm RSA -out my-priv-key.pem -pkeyopt rsa_keygen_bits:2048 -aes-256-cbc + ``` -```shell -juicefs format --encrypt-rsa-key my-priv-key.pem META-URL NAME -``` +2. Provide the key when formatting -> **NOTE**: If the private key is password-protected, an environment variable `JFS_RSA_PASSPHRASE` should be exported first before executing `juicefs mount`. + ```shell + juicefs format --encrypt-rsa-key my-priv-key.pem META-URL NAME + ``` + :::note + If the private key is password-protected, an environment variable `JFS_RSA_PASSPHRASE` should be exported first before executing `juicefs mount`. + ::: ### Performance diff --git a/docs/en/tutorials/aliyun.md b/docs/en/tutorials/aliyun.md index baf4fbd793b3..1055839d9f2b 100644 --- a/docs/en/tutorials/aliyun.md +++ b/docs/en/tutorials/aliyun.md @@ -19,6 +19,7 @@ From the previous architecture description, you can know that JuiceFS needs to b When you create cloud computing resources, try to choose in the same region, so that resources can access each other through intranet and avoid using public network to incur additional traffic costs. ### 1. ECS + JuiceFS has no special requirements for server hardware, generally speaking, entry-level cloud servers can also use JuiceFS stably, usually you just need to choose the one that can meet your own business. In particular, you do not need to buy a new server or reinstall the system to use JuiceFS, JuiceFS is not business invasive and will not cause any interference with your existing systems and programs, you can install and use JuiceFS on your running server. @@ -43,7 +44,7 @@ JuiceFS will store all the metadata corresponding to the data in a separate data Depending on the database type, the performance and reliability of metadata are different. For example, Redis runs entirely on memory, which provides the ultimate performance, but is difficult to operate and maintain, and has relatively low reliability. SQLite is a single-file relational database with low performance and is not suitable for large-scale data storage, but it is configuration-free and suitable for a small amount of data storage on a single machine. -If you just want to evaluate the functionality of JuiceFS, you can build the database manually on ECS. When you want to use JucieFS in a production environment, the cloud database service is usually a better choice if you don't have a professional database operation and maintenance team. +If you just want to evaluate the functionality of JuiceFS, you can build the database manually on ECS. When you want to use JuiceFS in a production environment, the cloud database service is usually a better choice if you don't have a professional database operation and maintenance team. Of course, you can also use cloud database services provided on other platforms if you wish.But in this case, you have to expose the database port to the public network, which also has some security risks. @@ -60,11 +61,11 @@ On the other hand, if you cannot successfully connect to the cloud database thro **This article uses the [ApsaraDB for Redis](https://www.alibabacloud.com/product/apsaradb-for-redis), and the following is pseudo address compiled for demonstration purposes only:** -| Redis Version | 5.0 Community Edition | -| --------------------------- | -------------------------------------- | -| **Instance Specification** | 256M Standard master-replica instances | -| **Connection Address** | herald-sh-abc.redis.rds.aliyuncs.com | -| **Available Zone** | Shanghai | +| Redis Version | 5.0 Community Edition | +|----------------------------|----------------------------------------| +| **Instance Specification** | 256M Standard master-replica instances | +| **Connection Address** | `herald-sh-abc.redis.rds.aliyuncs.com` | +| **Available Zone** | Shanghai | ### 3. Object Storage OSS @@ -159,12 +160,12 @@ The following command creates a storage called `mystor`, i.e., a file system, us ```shell $ juicefs format \ - --storage oss \ - --bucket https:// \ - --access-key \ - --secret-key \ - redis://:@herald-sh-abc.redis.rds.aliyuncs.com:6379/1 \ - mystor + --storage oss \ + --bucket https:// \ + --access-key \ + --secret-key \ + redis://:@herald-sh-abc.redis.rds.aliyuncs.com:6379/1 \ + mystor ``` **Option description:** @@ -175,14 +176,14 @@ $ juicefs format \ > Redis 6.0 authentication requires username and password parameters in the format of `redis://username:password@redis-server-url:6379/1`. Currently, Alibaba Cloud Redis only provides Reids 4.0 and 5.0 versions, which require only a password for authentication, and just leave the username empty when setting the Redis server address, for example: `redis://:password@redis-server-url:6379/1`. -When using the RAM role to bind to the ECS, the JucieFS storage can be created by specifying `--storage` and `--bucket` without providing the API access key. The command can be rewritten as follows: +When using the RAM role to bind to the ECS, the JuiceFS storage can be created by specifying `--storage` and `--bucket` without providing the API access key. The command can be rewritten as follows: ```shell $ juicefs format \ - --storage oss \ - --bucket https://mytest.oss-cn-shanghai.aliyuncs.com \ - redis://:@herald-sh-abc.redis.rds.aliyuncs.com:6379/1 \ - mystor + --storage oss \ + --bucket https://mytest.oss-cn-shanghai.aliyuncs.com \ + redis://:@herald-sh-abc.redis.rds.aliyuncs.com:6379/1 \ + mystor ``` Output like the following means the file system was created successfully. diff --git a/docs/en/tutorials/aws.md b/docs/en/tutorials/aws.md index b937dd835601..cf1a035fe631 100644 --- a/docs/en/tutorials/aws.md +++ b/docs/en/tutorials/aws.md @@ -134,12 +134,12 @@ The `format` subcommand of the JuiceFS client is used to create (format) a Juice ```shell $ juicefs format \ - --storage s3 \ - --bucket https://.s3..amazonaws.com \ - --access-key \ - --secret-key \ - redis://[]:@:6379/1 \ - mystor + --storage s3 \ + --bucket https://.s3..amazonaws.com \ + --access-key \ + --secret-key \ + redis://[]:@:6379/1 \ + mystor ``` **Option Description:** @@ -154,10 +154,10 @@ When using the IAM role to bind EC2, you only need to specify `--storage` and `- ```shell $ juicefs format \ - --storage s3 \ - --bucket https://herald-demo.s3..amazonaws.com \ - redis://herald-demo.abcdefg.0001.apse1.cache.amazonaws.com:6379/1 \ - mystor + --storage s3 \ + --bucket https://herald-demo.s3..amazonaws.com \ + redis://herald-demo.abcdefg.0001.apse1.cache.amazonaws.com:6379/1 \ + mystor ``` Seeing the output like the following means that the file system was created successfully. diff --git a/docs/en/tutorials/digitalocean.md b/docs/en/tutorials/digitalocean.md index 43fe5b140f77..2efe458c5a6a 100644 --- a/docs/en/tutorials/digitalocean.md +++ b/docs/en/tutorials/digitalocean.md @@ -11,9 +11,11 @@ JuiceFS is designed for the cloud, using the cloud platform out-of-the-box stora JuiceFS is powered by a combination of storage and database, so the things you need to prepare should include. ### 1. Cloud Server + The cloud server on DigitalOcean is called Droplet. If you already have a Droplet, you do not need to purchase a new one separately in order to use JuiceFS. Whichever cloud server needs to use JuiceFS storage on it, install the JuiceFS client for it. #### Hardware Specifications + JuiceFS has no special hardware requirements, and any size Droplet can be used stably. However, it is recommended to choose a better performing SSD and reserve at least 1GB for JuiceFS to use as local cache. #### Operating System @@ -28,7 +30,7 @@ Of course, you can also use an object storage service from another platform or b Here, we created a Spaces storage bucket named `juicefs` with the region `sgp1` in Singapore, and it is accessible at: -- https://juicefs.sgp1.digitaloceanspaces.com +- `https://juicefs.sgp1.digitaloceanspaces.com` In addition, you also need to create `Spaces access keys` in the API menu, which JuiceFS needs to access the Spaces API. diff --git a/docs/en/tutorials/juicefs_on_colab.md b/docs/en/tutorials/juicefs_on_colab.md index 150db684b56a..89a6de9dcf74 100644 --- a/docs/en/tutorials/juicefs_on_colab.md +++ b/docs/en/tutorials/juicefs_on_colab.md @@ -5,15 +5,14 @@ slug: /juicefs_on_colab --- [Colaboratory](https://colab.research.google.com), or “Colab” for short, is a product from Google Research. Colab allows -anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine +anybody to write and execute arbitrary Python code through the browser, and is especially well suited to machine learning, data analysis and education. Colab supports Google Drive for upload files to or download files from Colab instances. However, in some cases, Google Drive might not be that convenient to use with Colab. This is where JuiceFS could be a helpful tool to allow easily sync files between Colab instances, or between Colab instance and a local or on-premises machine. -[A demo Colab notebook using JuiceFS can be seen here](https://colab.research.google.com/drive/1wA8vRwqiihXkI6ViDU8Ud868UeYtmCo5) -. +A demo Colab notebook using JuiceFS can be seen [here](https://colab.research.google.com/drive/1wA8vRwqiihXkI6ViDU8Ud868UeYtmCo5). We illustrate the needed steps for using JuiceFS in Colab environment. We use Google CloudSQL as the JuiceFS metadata engine, and Google Cloud Storage (GCS) as the JuiceFS object storage. @@ -26,7 +25,7 @@ Many of the steps mentioned here will be quite similar with the [getting started doc](../getting-started/for_distributed.md) which you can also use for reference. -## Summary of steps: +## Summary of steps 1. Format a `juicefs` file system from any machine/instance which having access to Google cloud resources 2. Mount `juicefs` file system in a Colab Notebook @@ -60,19 +59,19 @@ So in order to follow this guide you will need to have these resources ready: ## Detailed Steps -### Step 1 - Format and mount a juicefs file system folder +### Step 1 - Format and mount a JuiceFS file system folder This step is only need to be done once, and you can choose to do this at any machine/instance where you have good connection and access to your Google Cloud resources. In this example I am doing this on my local machine. Firstly you can use `gcloud auth application-default login` to get a local credential ready or you can also -use `GOOGLE_APPLICATION_CREDENTIALS` to setup as json key file. +use `GOOGLE_APPLICATION_CREDENTIALS` to setup as JSON key file. Then you can use [`cloud_sql_proxy`](https://cloud.google.com/sql/docs/mysql/connect-admin-proxy) to open a port (in this case 5432) locally so to expose your cloud Postgres service to your local machine: -``` +```shell gcloud auth application-default login # Or set up the json key file via GOOGLE_APPLICATION_CREDENTIALS=/path/to/key @@ -81,11 +80,11 @@ cloud_sql_proxy -instances=juicefs-learning:europe-west1:juicefs-sql-example-1=t ``` Then use the following command to create a new file system with a name as `myvolume` by using `juicefs format` command. -Then later we can mount this filesystem in any other machines/instances where you have access to your cloud resources. +Then later we can mount this file system in any other machines/instances where you have access to your cloud resources. You can download `juicefs` [here](https://github.com/juicedata/juicefs/releases). -``` +```shell juicefs format \ --storage gs \ --bucket gs://juicefs-bucket-example-1 \ @@ -95,46 +94,45 @@ juicefs format \ Noticing again, this step above is only need to be done once at any machine you feel like to work on. -### Step 2 - Mount juicefs file system on colab +### Step 2 - Mount JuiceFS file system on Colab After you have finished with Step 1 above, then it means you already have a JuiceFS filesystem (called `myvolume` in this case) is defined and ready to be used. -So here we open a Colab page and run those command to mount our filesystem into a folder called `mnt`. +So here we open a Colab page and run those command to mount our file system into a folder called `mnt`. Firstly we download the `juicefs` binary and do the same as Step 1 to get GCP credentials and open cloudsql proxy. -Note that the follow commands are run in Colab environment so there is a -`!` mark in the beginning for running shell command. +Note that the follow commands are run in Colab environment so there is a `!` mark in the beginning for running shell command. -1. Download `juicefs` to colab runtime instance +1. Download `juicefs` to Colab runtime instance -``` -! curl -L -o juicefs.tar.gz https://github.com/juicedata/juicefs/releases/download/v1.0.0-beta2/juicefs-1.0.0-beta2-linux-amd64.tar.gz -! tar -xf juicefs.tar.gz -``` + ```shell + ! curl -L -o juicefs.tar.gz https://github.com/juicedata/juicefs/releases/download/v1.0.0-beta2/juicefs-1.0.0-beta2-linux-amd64.tar.gz + ! tar -xf juicefs.tar.gz + ``` 2. Set up Google Cloud credentials -``` -! gcloud auth application-default login -``` + ```shell + ! gcloud auth application-default login + ``` 3. Open cloud_sql_proxy -``` -! wget https://dl.google.com/cloudsql/cloud_sql_proxy.linux.amd64 -O cloud_sql_proxy -! chmod +x cloud_sql_proxy -! GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json nohup ./cloud_sql_proxy -instances=juicefs-learning:europe-west1:juicefs-sql-example-1=tcp:0.0.0.0:5432 >> cloud_sql_proxy.log & -``` + ```shell + ! wget https://dl.google.com/cloudsql/cloud_sql_proxy.linux.amd64 -O cloud_sql_proxy + ! chmod +x cloud_sql_proxy + ! GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json nohup ./cloud_sql_proxy -instances=juicefs-learning:europe-west1:juicefs-sql-example-1=tcp:0.0.0.0:5432 >> cloud_sql_proxy.log & + ``` -4. Mount JuiceFS filesystem `myvolumn` onto folder `mnt` +4. Mount JuiceFS file system `myvolumn` onto folder `mnt` -``` -! GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json nohup ./juicefs mount "postgres://postgres:mushroom1@localhost:5432/juicefs?sslmode=disable" mnt > juicefs.log & -``` + ```shell + ! GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json nohup ./juicefs mount "postgres://postgres:mushroom1@localhost:5432/juicefs?sslmode=disable" mnt > juicefs.log & + ``` -Now you should be able to use the folder `mnt` as if it is a local filesystem folder to write and read folders and files +Now you should be able to use the folder `mnt` as if it is a local file system folder to write and read folders and files in it. ### Step 3 - Loading data at another time or another instance @@ -145,7 +143,6 @@ anytime in any other machines so to have access again to the data previously sto Congratulations! Now you have learned how to use JuiceFS and specifically how to use it with Google Colab to conveniently sharing and storing data files in a distributed fashion. -[A demo Colab notebook using JuiceFS can be seen here](https://colab.research.google.com/drive/1wA8vRwqiihXkI6ViDU8Ud868UeYtmCo5) -. +A demo Colab notebook using JuiceFS can be seen [here](https://colab.research.google.com/drive/1wA8vRwqiihXkI6ViDU8Ud868UeYtmCo5). Happy coding :) diff --git a/docs/en/tutorials/juicefs_on_k3s.md b/docs/en/tutorials/juicefs_on_k3s.md index 178691726097..b39f3fbe60f5 100644 --- a/docs/en/tutorials/juicefs_on_k3s.md +++ b/docs/en/tutorials/juicefs_on_k3s.md @@ -4,7 +4,7 @@ sidebar_position: 1 slug: /juicefs_on_k3s --- -[K3s](https://k3s.io/) is a functionally optimized lightweight Kubernetes distribution that is fully compatible with Kubernetes, that is, almost all operations on Kubernetes can be performed on K3s. K3s has packaged the entire container orchestration system into a binary program with a capacity of less than 100MB, which greatly reduces the environment dependencies and steps for installation of deploying Kubernetes production clusters. Compared to Kubernetes, K3s has lower performance requirements for the operating system, and ARM devices such as Raspberry Pi can be used to form a cluster. +[K3s](https://k3s.io) is a functionally optimized lightweight Kubernetes distribution that is fully compatible with Kubernetes, that is, almost all operations on Kubernetes can be performed on K3s. K3s has packaged the entire container orchestration system into a binary program with a capacity of less than 100MB, which greatly reduces the environment dependencies and steps for installation of deploying Kubernetes production clusters. Compared to Kubernetes, K3s has lower performance requirements for the operating system, and ARM devices such as Raspberry Pi can be used to form a cluster. In this article, we will build a K3s cluster with two nodes, install and configure [JuiceFS CSI Driver](https://github.com/juicedata/juicefs-csi-driver) for the cluster, and lastly create an Nginx Pod for verification. @@ -50,7 +50,7 @@ The IP address of the worker node is: `192.168.1.36` Execute the following command and change the value of `K3S_URL` to the IP or domain name of the server node (the default port is `6443`). Replace the value of `K3S_TOKEN` with the `node-token` obtained from the server node. ```shell -$ curl -sfL https://get.k3s.io | K3S_URL=http://192.168.1.35:6443 K3S_TOKEN=K1041f7c4fabcdefghijklmnopqrste2ec338b7300674f::server:3d0ab12800000000000000006328bbd80 sh - +curl -sfL https://get.k3s.io | K3S_URL=http://192.168.1.35:6443 K3S_TOKEN=K1041f7c4fabcdefghijklmnopqrste2ec338b7300674f::server:3d0ab12800000000000000006328bbd80 sh - ``` After the deployment is successful, go back to the server node to check the node status: diff --git a/docs/en/tutorials/juicefs_on_kubesphere.md b/docs/en/tutorials/juicefs_on_kubesphere.md index 54e0c8b47a9e..64c417849f5e 100644 --- a/docs/en/tutorials/juicefs_on_kubesphere.md +++ b/docs/en/tutorials/juicefs_on_kubesphere.md @@ -4,7 +4,7 @@ sidebar_position: 3 slug: /juicefs_on_kubesphere --- -[KubeSphere](https://kubesphere.com.cn/) is an application-centric multi-tenant container platform built on Kubernetes. It provides full-stack IT automated operation and maintenance capabilities and simplifies the DevOps workflow of the enterprise. +[KubeSphere](https://kubesphere.com.cn) is an application-centric multi-tenant container platform built on Kubernetes. It provides full-stack IT automated operation and maintenance capabilities and simplifies the DevOps workflow of the enterprise. KubeSphere provides a friendly wizard-style operation interface for operation and maintenance, even users who are not experienced in Kubernetes can start management and use relatively easily. It provides a Helm-based application market that can easily install various Kubernetes applications under a graphical interface. @@ -14,11 +14,11 @@ This article will introduce how to deploy JuiceFS CSI Driver in KubeSphere with 1. **Install KubeSphere** -There are two ways to install KubeSphere. One is installing in Linux, you can refer to the document: [All-in-One Installation of Kubernetes and KubeSphere on Linux](https://kubesphere.com.cn/en/docs/quick-start/all-in-one-on-linux/) , One is installing in Kubernetes, you can refer to the document: [Minimal KubeSphere on Kubernetes](https://kubesphere.com.cn/en/docs/quick-start/minimal-kubesphere-on-k8s/) + There are two ways to install KubeSphere. One is installing in Linux, you can refer to the document: [All-in-One Installation of Kubernetes and KubeSphere on Linux](https://kubesphere.com.cn/en/docs/quick-start/all-in-one-on-linux) , One is installing in Kubernetes, you can refer to the document: [Minimal KubeSphere on Kubernetes](https://kubesphere.com.cn/en/docs/quick-start/minimal-kubesphere-on-k8s) 2. **Enable app store in KubeSphere** -You can refer to the documentation for enabling the app store in KubeSphere: [KubeSphere App Store](https://kubesphere.com.cn/en/docs/pluggable-components/app-store/) + You can refer to the documentation for enabling the app store in KubeSphere: [KubeSphere App Store](https://kubesphere.com.cn/en/docs/pluggable-components/app-store) ## Install JuiceFS CSI Driver @@ -32,14 +32,14 @@ To install JuiceFS CSI Driver, you first need to create an application template. Click in the workspace to enter the application management, select "App Repositories", click the create button to add JuiceFS CSI Repository, fill in: -- Repository name: juicefs-csi-driver -- Index URL: https://juicedata.github.io/charts/ +- Repository name: `juicefs-csi-driver` +- Index URL: `https://juicedata.github.io/charts/` ![](../images/kubesphere_app_shop_en.png) #### Method two: Application Template -Download the chart compressed package from the JuiceFS CSI Driver warehouse: https://github.com/juicedata/juicefs-csi-driver/releases. +Download the chart compressed package from the JuiceFS CSI Driver warehouse: . In the "Workspace", click to enter the "App Management", select "App Templates", click "create", upload the chart compression package: @@ -47,7 +47,7 @@ In the "Workspace", click to enter the "App Management", select "App Templates", ### Install -Select "Project" where you want to deploy in the "Workspace" (the project in KubeSphere is the namespace in K8s), select "Apps", click the "create" button, select "From App Store", and then Select "juicefs": +Select "Project" where you want to deploy in the "Workspace" (the project in KubeSphere is the namespace in K8s), select "Apps", click the "create" button, select "From App Store", and then Select `juicefs`: ![](../images/kubesphere_shop_juicefs_en.png) @@ -93,7 +93,7 @@ After the configuration is modified, click "Install". The JuiceFS CSI Driver installed above has created a `StorageClass`, for example, the `StorageClass` created above is `juicefs-sc` , Can be used directly. -Then you need to create a PVC. In "Project", select "Storage Management", then select "Storage Volume", click the " Create" button to create a PVC, and select "juicefs-sc" for the "StorageClass", as follows: +Then you need to create a PVC. In "Project", select "Storage Management", then select "Storage Volume", click the " Create" button to create a PVC, and select `juicefs-sc` for the "StorageClass", as follows: ![](../images/kubesphere_pvc_en.png) diff --git a/docs/en/tutorials/juicefs_on_rancher.md b/docs/en/tutorials/juicefs_on_rancher.md index e7573b5a5ff1..be47f4afba5d 100644 --- a/docs/en/tutorials/juicefs_on_rancher.md +++ b/docs/en/tutorials/juicefs_on_rancher.md @@ -4,7 +4,7 @@ sidebar_position: 2 slug: /juicefs_on_rancher --- -[Rancher](https://rancher.com/) is an enterprise-level Kubernetes cluster management system, which can be used to quickly complete the deployment of Kubernetes clusters on various cloud computing platforms. +[Rancher](https://rancher.com) is an enterprise-level Kubernetes cluster management system, which can be used to quickly complete the deployment of Kubernetes clusters on various cloud computing platforms. Rancher provides a browser-based management interface, even users who are not experienced in Kubernetes can start to manage and use easily. It is preset with Helm-based application market by default, and various Kubernetes applications can be installed very easy under the graphical interface. @@ -50,8 +50,8 @@ After the cluster is created, it will be displayed in Rancher's cluster list. In the cluster list, click to enter the Kubernetes cluster, click on the left navigation menu to expand `Apps & Marketplace` -> `Chart Repositories`, click the `Create` button to add JuiceFS CSI repository, fill in: -- **Name**: juicefs -- **Index URL**: https://juicedata.github.io/charts/ +- **Name**: `juicefs` +- **Index URL**: `https://juicedata.github.io/charts/` ![](../images/rancher-new-repo.jpg) diff --git a/docs/en/tutorials/juicefs_on_wsl.md b/docs/en/tutorials/juicefs_on_wsl.md index 0ccf41ae4eb2..0e5b27448ccd 100644 --- a/docs/en/tutorials/juicefs_on_wsl.md +++ b/docs/en/tutorials/juicefs_on_wsl.md @@ -106,7 +106,7 @@ export SECRET_KEY=ZYXwvutsrqpoNMLkJiHgfeDCBA export REDIS_PASSWORD=mypassword ``` -Create a filesystem named `myjfs`: +Create a file system named `myjfs`: ```shell juicefs format \ @@ -134,7 +134,7 @@ Mount the file system to `mnt` in the user's home directory: sudo juicefs mount -d redis://myjfs-sh-abc.redis.rds.aliyuncs.com:6379/1 $HOME/mnt ``` -If you need to access the JuiceFS filesystem mounted on a Linux subsystem from a Windows system, find the Linux subsystem in the list on the left side of Explorer, then find and open the mount point path. +If you need to access the JuiceFS file system mounted on a Linux subsystem from a Windows system, find the Linux subsystem in the list on the left side of Explorer, then find and open the mount point path. ![](../images/wsl/access-jfs-from-win-en.png) @@ -154,7 +154,7 @@ In the Linux subsystem, WSL mounts each Windows drive to `/mnt`, for example, th To ensure optimal performance, when using JuiceFS in WSL, both the storage and cache paths should be set in the Linux subsystem. In other words, you should avoid setting the storage or cache on a Windows partition mount point like `/mnt/c`. -Using the `bench` benchmarking tool that comes with JuiceFS, the results show that mounting a filesystem to Windows (e.g. `/mnt/c`) has about 30% lower performance than mounting it inside a Linux subsystem (e.g. `$HOME/mnt`). +Using the `bench` benchmarking tool that comes with JuiceFS, the results show that mounting a file system to Windows (e.g. `/mnt/c`) has about 30% lower performance than mounting it inside a Linux subsystem (e.g. `$HOME/mnt`). ## Known Issues diff --git a/docs/en/tutorials/qcloud.md b/docs/en/tutorials/qcloud.md index a425e1b033a5..88702115542d 100644 --- a/docs/en/tutorials/qcloud.md +++ b/docs/en/tutorials/qcloud.md @@ -36,7 +36,7 @@ JuiceFS will store all the metadata corresponding to the data in a separate data Depending on the database type, the performance and reliability of metadata varies. For example, Redis runs entirely on memory, which provides the ultimate performance, but is difficult to operate and maintain, and has relatively low reliability. SQLite is a single-file relational database with low performance and is not suitable for large-scale data storage, but it is configuration-free and suitable for scenarios with small amounts of data storage. -If you are just evaluating the capabilities of JuiceFS, you can manually build the database for use in the CVM. When you want to use JucieFS in a production environment, the cloud database service of Tencent Cloud is usually a better choice if you don't have a professional database operation and maintenance team. +If you are just evaluating the capabilities of JuiceFS, you can manually build the database for use in the CVM. When you want to use JuiceFS in a production environment, the cloud database service of Tencent Cloud is usually a better choice if you don't have a professional database operation and maintenance team. Of course, you can also use cloud database services provided on other cloud platforms if you wish.However, in this case, you can only access the cloud database through the public network, which means that you must expose the database port to the public network, which has some security risks and requires special attention. @@ -154,12 +154,12 @@ The following command creates a storage called `mystor`, i.e., a file system, us ```shell $ juicefs format \ - --storage cos \ - --bucket https:// \ - --access-key \ - --secret-key \ - redis://:@192.168.5.5:6379/1 \ - mystor + --storage cos \ + --bucket https:// \ + --access-key \ + --secret-key \ + redis://:@192.168.5.5:6379/1 \ + mystor ``` **Option description:** diff --git a/docs/zh_cn/administration/fault_diagnosis_and_analysis.md b/docs/zh_cn/administration/fault_diagnosis_and_analysis.md index e0a279014301..9ebbea21c8b3 100644 --- a/docs/zh_cn/administration/fault_diagnosis_and_analysis.md +++ b/docs/zh_cn/administration/fault_diagnosis_and_analysis.md @@ -5,8 +5,6 @@ slug: /fault_diagnosis_and_analysis description: 本文介绍 JuiceFS FUSE、CSI Driver、Hadoop Java SDK S3 gateway、S3 gateway 等客户端在各类操作系统中的日志获取和解读方法。 --- -# 故障诊断和分析 - import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; @@ -71,7 +69,6 @@ S3 网关仅支持在前台运行，因此客户端日志会直接输出到终 使用 JuiceFS Hadoop Java SDK 的应用进程（如 Spark executor）的日志中会包含 JuiceFS 客户端日志，因为和应用自身产生的日志混杂在一起，需要通过特定关键词来过滤筛选（如 `juicefs`，注意这里忽略了大小写）。 - ## 访问日志 {#access-log} 每个 JuiceFS 客户端都有一个访问日志，其中详细记录了文件系统上的所有操作，如操作类型、用户 ID、用户组 ID、文件 inode 及其花费的时间。访问日志可以有多种用途，如性能分析、审计、故障诊断。 @@ -127,7 +124,6 @@ kubectl -n kube-system exec juicefs-1.2.3.4-pvc-d4b8fb4f-2c0b-48e8-a2dc-53079943 需要在 JuiceFS Hadoop Java SDK 的[客户端配置](../deployment/hadoop_java_sdk.md#其它配置)中新增 `juicefs.access-log` 配置项，指定访问日志输出的路径，默认不输出访问日志。 - ## 运行时信息 JuiceFS 客户端默认会通过 [pprof](https://pkg.go.dev/net/http/pprof) 在本地监听一个 TCP 端口用以获取运行时信息，如 Goroutine 堆栈信息、CPU 性能统计、内存分配统计。你可以通过系统命令（如 `lsof`）查看当前 JuiceFS 客户端监听的具体端口号： @@ -157,19 +153,23 @@ juicefs 32666 user 15u IPv4 0x44992f062886fc5b 0t0 TCP 127.0.0.1:9567 ```bash curl 'http://localhost:/debug/pprof/goroutine?debug=1' > juicefs.goroutine.txt ``` + ```bash curl 'http://localhost:/debug/pprof/profile?seconds=30' > juicefs.cpu.pb.gz ``` + ```bash curl 'http://localhost:/debug/pprof/heap' > juicefs.heap.pb.gz ``` :::tip 建议 -你也可以使用 juicefs debug 命令自动收集这些运行时信息并保存到本地，默认保存到当前目录下的 debug 目录中，例如： +你也可以使用 `juicefs debug` 命令自动收集这些运行时信息并保存到本地，默认保存到当前目录下的 `debug` 目录中，例如： + ```bash juicefs debug /mnt/jfs ``` -关于 juicefs debug 命令的更多信息，请查看[命令参考](https://juicefs.com/docs/zh/community/command_reference#juicefs-debug) + +关于 `juicefs debug` 命令的更多信息，请查看[命令参考](https://juicefs.com/docs/zh/community/command_reference#juicefs-debug)。 ::: 如果你安装了 `go` 命令，那么可以通过 `go tool pprof` 命令直接分析，例如分析 CPU 性能统计： @@ -225,7 +225,7 @@ go tool pprof -pdf 'http://localhost:/debug/pprof/heap' > juicefs.heap.pdf JuiceFS 支持使用 `--pyroscope` 选项传入 Pyroscope 服务端地址，指标以每隔 10 秒的频率推送到服务端。如果服务端开启了权限校验，校验信息 API Key 可以通过环境变量 `PYROSCOPE_AUTH_TOKEN` 传入： ```bash -$ export PYROSCOPE_AUTH_TOKEN=xxxxxxxxxxxxxxxx -$ juicefs mount --pyroscope http://localhost:4040 redis://localhost /mnt/jfs -$ juicefs dump --pyroscope http://localhost:4040 redis://localhost dump.json +export PYROSCOPE_AUTH_TOKEN=xxxxxxxxxxxxxxxx +juicefs mount --pyroscope http://localhost:4040 redis://localhost /mnt/jfs +juicefs dump --pyroscope http://localhost:4040 redis://localhost dump.json ``` diff --git a/docs/zh_cn/administration/metadata/_mysql_best_practices.md b/docs/zh_cn/administration/metadata/_mysql_best_practices.md index fa43058d50a2..41ec8d76eac8 100644 --- a/docs/zh_cn/administration/metadata/_mysql_best_practices.md +++ b/docs/zh_cn/administration/metadata/_mysql_best_practices.md @@ -2,4 +2,4 @@ sidebar_label: MySQL sidebar_position: 2 --- -# MySQL 最佳实践 \ No newline at end of file +# MySQL 最佳实践 diff --git a/docs/zh_cn/administration/metadata/fdb_best_practices.md b/docs/zh_cn/administration/metadata/fdb_best_practices.md index aca9bfacbebc..5ace26ed003f 100644 --- a/docs/zh_cn/administration/metadata/fdb_best_practices.md +++ b/docs/zh_cn/administration/metadata/fdb_best_practices.md @@ -6,26 +6,29 @@ slug: /fdb_best_practices # FoundationDB 最佳实践 -fdb支持横向扩容，一旦数据存储达到集群的最高负载，只需要在集群中添加新的机器即可。配置集群的详细教程可见官网 https://apple.github.io/foundationdb/configuration.html ，对于不同场景不同机器数量的性能测试可见 https://apple.github.io/foundationdb/benchmarking.html。 +fdb 支持横向扩容，一旦数据存储达到集群的最高负载，只需要在集群中添加新的机器即可。配置集群的详细教程可见官网 ，对于不同场景不同机器数量的性能测试可见 。 ## 系统要求 -- 以下64位操作系统之一 - - 受支持的linux发行版 + +- 以下 64 位操作系统之一 + - 受支持的 Linux 发行版 - RHEL/CentOS 6.x and 7.x - Ubuntu 12.04 或更高版本 - - 未受支持的linux发行版 + - 未受支持的 Linux 发行版 - 内核版本介于 2.6.33 和 3.0.x（含）或 3.7 或更高版本之间 - - 最好是.deb或者.rpm + - 最好是.deb 或者.rpm - macOS 10.7 或更高版本 -- 每个fdbserver需要至少4GB内存 +- 每个 fdbserver 需要至少 4GB 内存 - 存储 - 存储数据小于内存时使用内存存储引擎 - - 存储数据大于内存时使用SSD存储引擎 + - 存储数据大于内存时使用 SSD 存储引擎 + +## 如何配置 FoundationDB -## 如何配置FoundationDB -### 在单机上配置FoundationDB +### 在单机上配置 FoundationDB **[Ubuntu](https://apple.github.io/foundationdb/getting-started-linux.html)** + ``` //下载server和client deb包 wget https://github.com/apple/foundationdb/releases/download/6.3.23/foundationdb-clients_6.3.23-1_amd64.deb @@ -34,7 +37,9 @@ wget https://github.com/apple/foundationdb/releases/download/6.3.23/foundationdb sudo dpkg -i foundationdb-clients_6.3.23-1_amd64.deb \ foundationdb-server_6.3.23-1_amd64.deb ``` + **[RHEL/CentOS6/CentOS7](https://apple.github.io/foundationdb/getting-started-linux.html)** + ``` //下载server和client rpm包 wget https://github.com/apple/foundationdb/releases/download/6.3.12/foundationdb-clients-6.3.23-1.el7.x86_64.rpm @@ -43,19 +48,24 @@ wget https://github.com/apple/foundationdb/releases/download/6.3.23/foundationdb sudo rpm -Uvh foundationdb-clients-6.3.23-1.el7.x86_64.rpm \ foundationdb-server-6.3.23-1.el7.x86_64.rpm ``` + **[macOS](https://apple.github.io/foundationdb/getting-started-linux.html)** -详情请移步foundationdb官网 +详情请移步 FoundationDB 官网 + +### [在多台机器上配置 FoundationDB 集群](https://apple.github.io/foundationdb/administration.html#adding-machines-to-a-cluster) -### [在多台机器上配置foundationdb集群](https://apple.github.io/foundationdb/administration.html#adding-machines-to-a-cluster) > 部署单台机器的步骤与上述一致。 -- 首先在每台机器上部署好单个foundationdb -- 选择一个节点将其fdb.cluster文件修改（路径默认/etc/foundationdb/fdb.cluster），此文件由一行字符串组成，格式为description:ID@IP:PORT,IP:PORT,...，仅添加其他机器的IP:PORT即可。 -- 将此修改完的fdb.cluster拷贝到其他节点 -- 将机器重启（sudo service foundationdb restart） + +- 首先在每台机器上部署好单个 FoundationDB +- 选择一个节点将其 fdb.cluster 文件修改（路径默认`/etc/foundationdb/fdb.cluster`），此文件由一行字符串组成，格式为 description:ID@IP:PORT,IP:PORT,...，仅添加其他机器的 IP:PORT 即可。 +- 将此修改完的 fdb.cluster 拷贝到其他节点 +- 将机器重启（`sudo service foundationdb restart`） ## 冗余模式 -FoundationDB 支持多种冗余模式。这些模式定义了存储要求、所需的集群大小和故障恢复能力，用户可根据不同的机器配置选择相对应的冗余模式。要更改冗余模式，请使用 的configure命令fdbcli。示例如下： + +FoundationDB 支持多种冗余模式。这些模式定义了存储要求、所需的集群大小和故障恢复能力，用户可根据不同的机器配置选择相对应的冗余模式。要更改冗余模式，请使用 的 configure 命令 fdbcli。示例如下： + ``` user@host$ fdbcli Using cluster file `/etc/foundationdb/fdb.cluster'. @@ -66,22 +76,25 @@ Welcome to the fdbcli. For help, type `help'. fdb> configure double Configuration changed. ``` -### `single` mode(1-2台机器) -FoundationDB不复制数据，只需要一台物理机器就可以进行处理。由于数据没有被复制，数据库没有容错能力。 +### `single` mode(1-2 台机器) + +FoundationDB 不复制数据，只需要一台物理机器就可以进行处理。由于数据没有被复制，数据库没有容错能力。 建议在单个开发机器上进行测试时使用此模式。(单模式将用于由两台或两台以上计算机组成的集群，并将数据进行分区以提高性能，但集群不会容忍任何机器的丢失) -### `double` mode(3-4台机器) +### `double` mode(3-4 台机器) -FoundationDB将数据复制到两台机器上，因此需要两台或两台以上的机器进行处理。一台机器的丢失可以在不丢失数据的情况下存活，但如果最初只有两台机器，则数据库将不可用，直到恢复第二台机器、添加另一台机器或更改复制模式。 +FoundationDB 将数据复制到两台机器上，因此需要两台或两台以上的机器进行处理。一台机器的丢失可以在不丢失数据的情况下存活，但如果最初只有两台机器，则数据库将不可用，直到恢复第二台机器、添加另一台机器或更改复制模式。 ### `triple` mode(5+台机器) -FoundationDB将数据复制到三台机器上，并且至少需要三台可用的机器才能进行处理。对于一个数据中心中有五台或更多机器的集群，推荐使用这种模式。 +FoundationDB 将数据复制到三台机器上，并且至少需要三台可用的机器才能进行处理。对于一个数据中心中有五台或更多机器的集群，推荐使用这种模式。 ## 存储引擎 -fdb提供`ssd`和`memory`两种存储引擎，根据数据量大小来选择不同的存储引擎。我们在实际测试中发现两种存储引擎的性能相差不大，而`ssd`存储引擎支持较大的数据量，故推荐使用`ssd`存储引擎。 + +fdb 提供`ssd`和`memory`两种存储引擎，根据数据量大小来选择不同的存储引擎。我们在实际测试中发现两种存储引擎的性能相差不大，而`ssd`存储引擎支持较大的数据量，故推荐使用`ssd`存储引擎。 + ``` user@host$ fdbcli Using cluster file `/etc/foundationdb/fdb.cluster'. @@ -92,17 +105,19 @@ Welcome to the fdbcli. For help, type `help'. fdb> configure ssd Configuration changed. ``` + ### `ssd`存储引擎（推荐） -数据以B树的格式存储在磁盘中，一般使用固态硬盘而非机械硬盘。当有合适的磁盘硬件时，这个引擎更加健壮，因为它可以存储大量数据。 + +数据以 B 树的格式存储在磁盘中，一般使用固态硬盘而非机械硬盘。当有合适的磁盘硬件时，这个引擎更加健壮，因为它可以存储大量数据。 关于性能，固态硬盘提供了很不错的随机读写性能，再加上热点数据的缓存，基本上于`memory`存储引擎相差无几，对于`JUICEFS`的元数据存储也是极力推荐使用`ssd`存储引擎。 需要注意的是，固态硬盘在损坏之后数据有可能不可恢复，所以需要注意硬盘的磨损程度以更换新的硬盘。 -由于该存储引擎是针对于SSD（固态硬盘），因此如果使用的机械硬盘，性能会受到很大影响。 +由于该存储引擎是针对于 SSD（固态硬盘），因此如果使用的机械硬盘，性能会受到很大影响。 ### `memory`存储引擎 数据存储在内存中，其通过顺序写日志的方式对数据进行持久化，数据库重启时通过回放日志的方式来进行数据恢复，此过程一般需要一些时间（几秒钟到几分钟）。 -默认情况下，每个使用内存存储引擎的进程只能存储1GB的数据(包括开销)。这个限制可以通过在foundationdb.conf中记录的storage_memory参数来更改。 +默认情况下，每个使用内存存储引擎的进程只能存储 1GB 的数据 (包括开销)。这个限制可以通过在`foundationdb.conf`中记录的`storage_memory`参数来更改。 diff --git a/docs/zh_cn/administration/metadata/postgresql_best_practices.md b/docs/zh_cn/administration/metadata/postgresql_best_practices.md index 89c9f6ab09f4..267aac3582a5 100644 --- a/docs/zh_cn/administration/metadata/postgresql_best_practices.md +++ b/docs/zh_cn/administration/metadata/postgresql_best_practices.md @@ -41,7 +41,7 @@ juicefs mount -d "postgres://user:$PG_PASSWD@192.168.1.6:5432/juicefs" /mnt/jfs ## 使用连接池 -连接池是客户端与数据库之间的中间层，由它作为中介提升连接效率，降低短连接的损耗。常用的连接池有 [PgBouncer](https://www.pgbouncer.org/) 和 [Pgpool-II](https://www.pgpool.net/) 。 +连接池是客户端与数据库之间的中间层，由它作为中介提升连接效率，降低短连接的损耗。常用的连接池有 [PgBouncer](https://www.pgbouncer.org) 和 [Pgpool-II](https://www.pgpool.net) 。 ## 高可用 diff --git a/docs/zh_cn/administration/metadata/redis_best_practices.md b/docs/zh_cn/administration/metadata/redis_best_practices.md index 3b8f6c9470ea..91eac4dd370f 100644 --- a/docs/zh_cn/administration/metadata/redis_best_practices.md +++ b/docs/zh_cn/administration/metadata/redis_best_practices.md @@ -4,6 +4,8 @@ sidebar_position: 1 slug: /redis_best_practices --- +import Badge from '@site/src/components/Badge'; + # Redis 最佳实践 当采用 Redis 作为 JuiceFS 元数据存储引擎时，即由 Redis 负责存储所有元数据并响应客户端对元数据的操作。若 Redis 出现连接不稳定、服务不可用或元数据丢失等问题，可能会导致读写速度慢或数据损坏等情况。 @@ -37,7 +39,7 @@ used_memory_dataset: 13439673592 used_memory_dataset_perc: 70.12% ``` -其中 `used_memory_rss` 是 Redis 实际使用的总内存大小，这里既包含了存储在 Redis 中的数据大小（也就是上面的 `used_memory_dataset`），也包含了一些 Redis 的[系统开销](https://redis.io/commands/memory-stats)（也就是上面的 `used_memory_overhead`）。前面提到每个文件的元数据大约占用 300 字节是通过 `used_memory_dataset` 来计算的，如果你发现你的 JuiceFS 文件系统中单个文件元数据占用空间远大于 300 字节，可以尝试运行 [`juicefs gc`](../../reference/command_reference.md#juicefs-gc) 命令来清理可能存在的冗余数据。 +其中 `used_memory_rss` 是 Redis 实际使用的总内存大小，这里既包含了存储在 Redis 中的数据大小（也就是上面的 `used_memory_dataset`），也包含了一些 Redis 的[系统开销](https://redis.io/commands/memory-stats)（也就是上面的 `used_memory_overhead`）。前面提到每个文件的元数据大约占用 300 字节是通过 `used_memory_dataset` 来计算的，如果你发现你的 JuiceFS 文件系统中单个文件元数据占用空间远大于 300 字节，可以尝试运行 [`juicefs gc`](../../reference/command_reference.md#gc) 命令来清理可能存在的冗余数据。 ## 数据可用性 @@ -100,12 +102,12 @@ Redis 提供了不同范围的[持久性](https://redis.io/docs/manual/persisten - **RDB**：以指定的时间间隔生成当前数据集的快照。 - **AOF**：记录服务器收到的每一个写操作，在服务器启动时重建原始数据集。命令使用与 Redis 协议本身相同的格式以追加写（append-only）的方式记录。当日志变得太大时，Redis 能够在后台重写日志。 -- **RDB+AOF** 建议：组合使用 AOF 和 RDB。在这种情况下，当 Redis 重新启动时，AOF 文件将用于重建原始数据集，因为它保证是最完整的。 +- **RDB+AOF** 建议：组合使用 AOF 和 RDB。在这种情况下，当 Redis 重新启动时，AOF 文件将用于重建原始数据集，因为它保证是最完整的。 当使用 AOF 时，您可以有不同的 fsync 策略： 1. 没有 fsync； -2. 每秒 fsync 默认； +2. 每秒 fsync 默认； 3. 每次查询 fsync。 默认策略「每秒 fsync」是不错的选择（fsync 是使用后台线程执行的，当没有 fsync 正在进行时，主线程会努力执行写入），**但你可能丢失最近一秒钟的写入**。 @@ -172,11 +174,11 @@ Redis 对数据备份非常友好，因为您可以在数据库运行时复制 R ### JuiceFS 使用到的 Redis 数据类型 -+ [String](https://redis.io/docs/data-types/strings/) -+ [Set](https://redis.io/docs/data-types/sets/) -+ [Sorted Set](https://redis.io/docs/data-types/sorted-sets/) -+ [Hash](https://redis.io/docs/data-types/hashes/) -+ [List](https://redis.io/docs/data-types/lists/) ++ [String](https://redis.io/docs/data-types/strings) ++ [Set](https://redis.io/docs/data-types/sets) ++ [Sorted Set](https://redis.io/docs/data-types/sorted-sets) ++ [Hash](https://redis.io/docs/data-types/hashes) ++ [List](https://redis.io/docs/data-types/lists) ### JuiceFS 使用到的 Redis 特性 @@ -186,77 +188,77 @@ Redis 对数据备份非常友好，因为您可以在数据库运行时复制 R #### String -+ [DECRBY](https://redis.io/commands/decrby/) -+ [DEL](https://redis.io/commands/del/) -+ [GET](https://redis.io/commands/get/) -+ [INCR](https://redis.io/commands/incr/) -+ [INCRBY](https://redis.io/commands/incrby/) -+ [DECR](https://redis.io/commands/decr/) -+ [MGET](https://redis.io/commands/mget/) -+ [MSET](https://redis.io/commands/mset/) -+ [SETNX](https://redis.io/commands/setnx/) -+ [SET](https://redis.io/commands/set/) ++ [DECRBY](https://redis.io/commands/decrby) ++ [DEL](https://redis.io/commands/del) ++ [GET](https://redis.io/commands/get) ++ [INCR](https://redis.io/commands/incr) ++ [INCRBY](https://redis.io/commands/incrby) ++ [DECR](https://redis.io/commands/decr) ++ [MGET](https://redis.io/commands/mget) ++ [MSET](https://redis.io/commands/mset) ++ [SETNX](https://redis.io/commands/setnx) ++ [SET](https://redis.io/commands/set) #### Set -+ [SADD](https://redis.io/commands/sadd/) -+ [SMEMBERS](https://redis.io/commands/smembers/) -+ [SREM](https://redis.io/commands/srem/) ++ [SADD](https://redis.io/commands/sadd) ++ [SMEMBERS](https://redis.io/commands/smembers) ++ [SREM](https://redis.io/commands/srem) #### Sorted Set -+ [ZADD](https://redis.io/commands/zadd/) -+ [ZRANGEBYSCORE](https://redis.io/commands/zrangebyscore/) -+ [ZRANGE](https://redis.io/commands/zrange/) -+ [ZREM](https://redis.io/commands/zrem/) -+ [ZSCORE](https://redis.io/commands/zscore/) ++ [ZADD](https://redis.io/commands/zadd) ++ [ZRANGEBYSCORE](https://redis.io/commands/zrangebyscore) ++ [ZRANGE](https://redis.io/commands/zrange) ++ [ZREM](https://redis.io/commands/zrem) ++ [ZSCORE](https://redis.io/commands/zscore) #### Hash -+ [HDEL](https://redis.io/commands/hdel/) -+ [HEXISTS](https://redis.io/commands/hexists/) -+ [HGETALL](https://redis.io/commands/hgetall/) -+ [HGET](https://redis.io/commands/hget/) -+ [HINCRBY](https://redis.io/commands/hincrby/) -+ [HKEYS](https://redis.io/commands/hkeys/) -+ [HSCAN](https://redis.io/commands/hscan/) -+ [HSETNX](https://redis.io/commands/hsetnx/) -+ [HSET](https://redis.io/commands/hset/)（需要支持设置多个 field 和 value） ++ [HDEL](https://redis.io/commands/hdel) ++ [HEXISTS](https://redis.io/commands/hexists) ++ [HGETALL](https://redis.io/commands/hgetall) ++ [HGET](https://redis.io/commands/hget) ++ [HINCRBY](https://redis.io/commands/hincrby) ++ [HKEYS](https://redis.io/commands/hkeys) ++ [HSCAN](https://redis.io/commands/hscan) ++ [HSETNX](https://redis.io/commands/hsetnx) ++ [HSET](https://redis.io/commands/hset)（需要支持设置多个 field 和 value） #### List -+ [LLEN](https://redis.io/commands/llen/) -+ [LPUSH](https://redis.io/commands/lpush/) -+ [LRANGE](https://redis.io/commands/lrange/) -+ [LTRIM](https://redis.io/commands/ltrim/) -+ [RPUSHX](https://redis.io/commands/rpushx/) -+ [RPUSH](https://redis.io/commands/rpush/) -+ [SCAN](https://redis.io/commands/scan/) ++ [LLEN](https://redis.io/commands/llen) ++ [LPUSH](https://redis.io/commands/lpush) ++ [LRANGE](https://redis.io/commands/lrange) ++ [LTRIM](https://redis.io/commands/ltrim) ++ [RPUSHX](https://redis.io/commands/rpushx) ++ [RPUSH](https://redis.io/commands/rpush) ++ [SCAN](https://redis.io/commands/scan) #### 事务 -+ [EXEC](https://redis.io/commands/exec/) -+ [MULTI](https://redis.io/commands/multi/) -+ [WATCH](https://redis.io/commands/watch/) -+ [UNWATCH](https://redis.io/commands/unwatch/) ++ [EXEC](https://redis.io/commands/exec) ++ [MULTI](https://redis.io/commands/multi) ++ [WATCH](https://redis.io/commands/watch) ++ [UNWATCH](https://redis.io/commands/unwatch) #### 连接管理 -+ [PING](https://redis.io/commands/ping/) ++ [PING](https://redis.io/commands/ping) #### 服务管理 -+ [CONFIG GET](https://redis.io/commands/config-get/) -+ [CONFIG SET](https://redis.io/commands/config-set/) -+ [DBSIZE](https://redis.io/commands/dbsize/) -+ [FLUSHDB](https://redis.io/commands/flushdb/)（可选） -+ [INFO](https://redis.io/commands/info/) ++ [CONFIG GET](https://redis.io/commands/config-get) ++ [CONFIG SET](https://redis.io/commands/config-set) ++ [DBSIZE](https://redis.io/commands/dbsize) ++ [FLUSHDB](https://redis.io/commands/flushdb)（可选） ++ [INFO](https://redis.io/commands/info) #### 集群管理 -+ [CLUSTER INFO](https://redis.io/commands/cluster-info/) ++ [CLUSTER INFO](https://redis.io/commands/cluster-info) #### 脚本（可选） -+ [EVALSHA](https://redis.io/commands/evalsha/) -+ [SCRIPT LOAD](https://redis.io/commands/script-load/) ++ [EVALSHA](https://redis.io/commands/evalsha) ++ [SCRIPT LOAD](https://redis.io/commands/script-load) diff --git a/docs/zh_cn/administration/metadata_dump_load.md b/docs/zh_cn/administration/metadata_dump_load.md index 119ef578d13d..d45258f89ab6 100644 --- a/docs/zh_cn/administration/metadata_dump_load.md +++ b/docs/zh_cn/administration/metadata_dump_load.md @@ -5,6 +5,7 @@ slug: /metadata_dump_load --- :::tip 提示 + - JuiceFS v0.15.2 开始支持元数据手动备份、恢复和引擎间迁移。 - JuiceFS v1.0.0 开始支持元数据自动备份 ::: @@ -64,6 +65,7 @@ juicefs load redis://192.168.1.6:6379/1 meta.dump ```bash juicefs dump redis://192.168.1.6:6379/1 meta.dump ``` + ```bash juicefs load mysql://user:password@(192.168.1.6:3306)/juicefs meta.dump ``` diff --git a/docs/zh_cn/administration/monitoring.md b/docs/zh_cn/administration/monitoring.md index 726b8f6ee467..54761e8830b0 100644 --- a/docs/zh_cn/administration/monitoring.md +++ b/docs/zh_cn/administration/monitoring.md @@ -4,14 +4,14 @@ sidebar_position: 3 description: 本文介绍如何搭配 Prometheus、Grafana 等第三方工具可视化 JuiceFS 状态监控。 --- -作为承载海量数据存储的分布式文件系统，用户通常需要直观地了解整个系统的容量、文件数量、CPU 负载、磁盘 IO、缓存等指标的变化。JuiceFS 通过 Prometheus 兼容的 API 对外提供实时的状态数据，只需将其添加到用户自建的 Prometheus Server 建立时序数据，然后通过 Grafana 等工具即可轻松实现 JucieFS 文件系统的可视化监控。 +作为承载海量数据存储的分布式文件系统，用户通常需要直观地了解整个系统的容量、文件数量、CPU 负载、磁盘 IO、缓存等指标的变化。JuiceFS 通过 Prometheus 兼容的 API 对外提供实时的状态数据，只需将其添加到用户自建的 Prometheus Server 建立时序数据，然后通过 Grafana 等工具即可轻松实现 JuiceFS 文件系统的可视化监控。 ## 快速上手 这里假设你搭建的 Prometheus Server、Grafana 与 JuiceFS 客户端都运行在相同的主机上。其中： -- **Prometheus Server**：用于收集并保存各种指标的时序数据，安装方法请参考[官方文档](https://prometheus.io/docs/introduction/first_steps/)。 -- **Grafana**：用于从 Prometheus 读取并可视化展现时序数据，安装方法请参考[官方文档](https://grafana.com/docs/grafana/latest/installation/)。 +- **Prometheus Server**：用于收集并保存各种指标的时序数据，安装方法请参考[官方文档](https://prometheus.io/docs/introduction/first_steps)。 +- **Grafana**：用于从 Prometheus 读取并可视化展现时序数据，安装方法请参考[官方文档](https://grafana.com/docs/grafana/latest/installation)。 ### Ⅰ. 获得实时数据 @@ -236,6 +236,7 @@ spec: ```bash curl -X PUT http://host:9091/api/v1/admin/wipe ``` + ::: 有关 Pushgateway 的更多信息，请查看[官方文档](https://github.com/prometheus/pushgateway/blob/master/README.md)。 diff --git a/docs/zh_cn/administration/sync_accounts_between_multiple_hosts.md b/docs/zh_cn/administration/sync_accounts_between_multiple_hosts.md index cfea579a7210..291d883b9dbb 100644 --- a/docs/zh_cn/administration/sync_accounts_between_multiple_hosts.md +++ b/docs/zh_cn/administration/sync_accounts_between_multiple_hosts.md @@ -90,7 +90,7 @@ fatal: [172.16.255.180]: FAILED! => {"changed": false, "msg": "groupmod: GID '10 TASK [Ensure user ubuntu with uid 1000 exists] ************************************************************ ok: [172.16.255.163] - to retry, use: --limit @/home/ubuntu/account-sync/play.retry + to retry, use: --limit @/home/ubuntu/account-sync/play.retry PLAY RECAP ************************************************************************************************ 172.16.255.163 : ok=3 changed=0 unreachable=0 failed=0 @@ -125,4 +125,5 @@ $ rm /tmp/hello.txt rm: remove write-protected regular file '/tmp/hello.txt'? y rm: cannot remove '/tmp/hello.txt': Operation not permitted ``` + ::: diff --git a/docs/zh_cn/benchmark/_performance_tuning.md b/docs/zh_cn/benchmark/_performance_tuning.md deleted file mode 100644 index c2001f356ec9..000000000000 --- a/docs/zh_cn/benchmark/_performance_tuning.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: 性能调优 -sidebar_position: 5 ---- diff --git a/docs/zh_cn/benchmark/mdtest.md b/docs/zh_cn/benchmark/mdtest.md index 9d943127902b..a75a156eaa9b 100644 --- a/docs/zh_cn/benchmark/mdtest.md +++ b/docs/zh_cn/benchmark/mdtest.md @@ -51,6 +51,7 @@ s3fs :/s3fs /s3fs -o host=https://s3..amazonaws.com,endpoint= /tmp/jfs-oplog ``` + later + ```bash juicefs profile /tmp/jfs-oplog ``` diff --git a/docs/zh_cn/benchmark/performance_evaluation_guide.md b/docs/zh_cn/benchmark/performance_evaluation_guide.md index e5fcc59f091d..881a82603c4b 100644 --- a/docs/zh_cn/benchmark/performance_evaluation_guide.md +++ b/docs/zh_cn/benchmark/performance_evaluation_guide.md @@ -23,7 +23,7 @@ slug: /performance_evaluation_guide ### 环境配置 - 测试主机：Amazon EC2 c5.xlarge 一台 -- 操作系统：Ubuntu 20.04.1 LTS (Kernel 5.4.0-1029-aws) +- 操作系统：Ubuntu 20.04.1 LTS (Kernel `5.4.0-1029-aws`) - 元数据引擎：Redis 6.2.3, 存储（dir）配置在系统盘 - 对象存储：Amazon S3 - JuiceFS version：0.17-dev (2021-09-23 2ec2badf) @@ -126,7 +126,6 @@ juicefs objbench \ 最后清理测试的文件。 - ## 性能观测和分析工具 接下来介绍两个性能观测和分析工具，是 JuiceFS 测试、使用、调优过程中必备的利器。 @@ -145,24 +144,24 @@ juicefs stats /mnt/jfs --verbosity 1 其中各项指标具体含义如下： -- usage - - cpu: JuiceFS 进程消耗的 CPU - - mem: JuiceFS 进程占用的物理内存 - - buf: JuiceFS 进程内部的读写 buffer 大小，受挂载选项 `--buffer-size` 限制 - - cache: 内部指标，可不关注 -- fuse - - ops/lat: FUSE 接口每秒处理的请求个数及其平均时延（单位为毫秒） - - read/write: FUSE 接口每秒处理读写请求的带宽值 -- meta - - ops/lat: 元数据引擎每秒处理的请求个数及其平均时延（单位为毫秒）。请注意部分能在缓存中直接处理的请求未列入统计，以更好地体现客户端与元数据引擎交互的耗时。 - - txn/lat: 元数据引擎每秒处理的**写事务**个数及其平均时延（单位为毫秒）。只读请求如 `getattr` 只会计入 ops 而不会计入 txn。 - - retry: 元数据引擎每秒重试**写事务**的次数 -- blockcache - - read/write: 客户端本地数据缓存的每秒读写流量 -- object - - get/get_c/lat: 对象存储每秒处理**读请求**的带宽值，请求个数及其平均时延（单位为毫秒） - - put/put_c/lat: 对象存储每秒处理**写请求**的带宽值，请求个数及其平均时延（单位为毫秒） - - del_c/lat: 对象存储每秒处理**删除请求**的个数和平均时延（单位为毫秒） +- `usage` + - `cpu`: JuiceFS 进程消耗的 CPU + - `mem`: JuiceFS 进程占用的物理内存 + - `buf`: JuiceFS 进程内部的读写 buffer 大小，受挂载选项 `--buffer-size` 限制 + - `cache`: 内部指标，可不关注 +- `fuse` + - `ops`/`lat`: FUSE 接口每秒处理的请求个数及其平均时延（单位为毫秒） + - `read`/`write`: FUSE 接口每秒处理读写请求的带宽值 +- `meta` + - `ops`/`lat`: 元数据引擎每秒处理的请求个数及其平均时延（单位为毫秒）。请注意部分能在缓存中直接处理的请求未列入统计，以更好地体现客户端与元数据引擎交互的耗时。 + - `txn`/`lat`: 元数据引擎每秒处理的**写事务**个数及其平均时延（单位为毫秒）。只读请求如 `getattr` 只会计入 ops 而不会计入 txn。 + - `retry`: 元数据引擎每秒重试**写事务**的次数 +- `blockcache` + - `read`/`write`: 客户端本地数据缓存的每秒读写流量 +- `object` + - `get`/`get_c`/`lat`: 对象存储每秒处理**读请求**的带宽值，请求个数及其平均时延（单位为毫秒） + - `put`/`put_c`/`lat`: 对象存储每秒处理**写请求**的带宽值，请求个数及其平均时延（单位为毫秒） + - `del_c`/`lat`: 对象存储每秒处理**删除请求**的个数和平均时延（单位为毫秒） ### JuiceFS Profile @@ -186,7 +185,7 @@ juicefs profile access.log --interval 0 - 404 次 create，open 和 unlink 请求 - 808 次 flush 请求：每当文件关闭时会自动调用一次 flush -- 33168 次 write/read 请求：每个大文件写入了 1024 个 1 MiB IO，而在 FUSE 层请求的默认最大值为 128 KiB，也就是说每个应用 IO 会被拆分成 8 个 FUSE 请求，因此一共有 (1024 * 8 + 100) * 4 = 33168 个请求。读 IO 与之类似，计数也相同。 +- 33168 次 write/read 请求：每个大文件写入了 1024 个 1 MiB IO，而在 FUSE 层请求的默认最大值为 128 KiB，也就是说每个应用 IO 会被拆分成 8 个 FUSE 请求，因此一共有 (1024 *8 + 100)* 4 = 33168 个请求。读 IO 与之类似，计数也相同。 以上这些值均能与 `profile` 的结果完全对应上。另外，结果中还显示 write 的平均时延非常小（45 微秒），而主要耗时点在 flush。这是因为 JuiceFS 的 write 默认先写入内存缓冲区，在文件关闭时再调用 flush 上传数据到对象存储，与预期吻合。 diff --git a/docs/zh_cn/benchmark/stats_watcher.md b/docs/zh_cn/benchmark/stats_watcher.md index 32e15669b227..a789cfbf1a92 100644 --- a/docs/zh_cn/benchmark/stats_watcher.md +++ b/docs/zh_cn/benchmark/stats_watcher.md @@ -12,11 +12,11 @@ JuiceFS 预定义了许多监控指标来监测系统运行时的内部性能情 #### usage -- cpu：进程的 CPU 使用率 +- CPU：进程的 CPU 使用率 - mem：进程的物理内存使用量 - buf：进程已使用的 Buffer 大小；此值受限于挂载选项 `--buffer-size` -#### fuse +#### FUSE - ops/lat：通过 FUSE 接口处理的每秒请求数及其平均时延（单位为毫秒） - read/write：通过 FUSE 接口处理的读写带宽 diff --git a/docs/zh_cn/community/adopters.md b/docs/zh_cn/community/adopters.md index 8bf5396d118e..4c2d42877aea 100644 --- a/docs/zh_cn/community/adopters.md +++ b/docs/zh_cn/community/adopters.md @@ -38,28 +38,28 @@ slug: /adopters | [云从科技](https://www.cloudwalk.com) | Production | AI | | | 名之梦 | Production | AI | | | [建信金融科技](https://www.ccbft.com) | Production | AI，共享文件存储 | | -| [思谋 Smartmore](https://cn.smartmore.com/) | Production | AI | | -| [汇丰银行 HSBC](https://www.hsbc.com.cn/) | Production | 共享文件存储 | | -| [中国电信](http://www.chinatelecom.com.cn/) | Production | 大数据 | | -| [酷数智能](http://www.kurudata.com/) | Production | 共享文件存储 | | -| [朗新集团](https://www.longshine.com/) | Production | 大数据，共享文件存储 | | -| [网易邮箱](https://mail.163.com/) | Production | 大数据 | | -| [梧桐车联](https://www.auto-pai.com/) | Production | AI，大数据 | | -| [南昌维网科技](https://www.vwell.cn/) | Production | 共享数据存储 | | -| [声网](https://www.agora.io/cn/) | Production | 大数据 | | -| [南京鹏云网络](https://www.pengyunnetwork.cn/) | Production | 共享文件存储 | | -| [聚云位智 LinkoopDB](http://www.datapps.cn/) | Production | 大数据 | | -| [之江实验室](https://www.zhejianglab.com/) | Production | AI，共享文件存储 | | -| [国家天文科学数据中心](https://nadc.china-vo.org/) | Production | 共享文件存储 | | -| [艾莎医学](https://www.ashermed.com/) | Production | 共享文件存储 | | -| [蝉妈妈数据](https://www.chanmama.com/) | Production | AI | | -| [NodeReal](https://nodereal.io/) | Production | 共享文件存储 | | -| [不鸣科技](https://www.boomingtech.com/) | Production | 共享文件存储 | | -| [博依特科技](https://www.poi-t.com/) | Production | 大数据 | | -| [九曳供应链](https://www.jiuyescm.com/) | Production | 大数据 | | +| [思谋 SmartMore](https://cn.smartmore.com) | Production | AI | | +| [汇丰银行 HSBC](https://www.hsbc.com.cn) | Production | 共享文件存储 | | +| [中国电信](http://www.chinatelecom.com.cn) | Production | 大数据 | | +| [酷数智能](http://www.kurudata.com) | Production | 共享文件存储 | | +| [朗新集团](https://www.longshine.com) | Production | 大数据，共享文件存储 | | +| [网易邮箱](https://mail.163.com) | Production | 大数据 | | +| [梧桐车联](https://www.auto-pai.com) | Production | AI，大数据 | | +| [南昌维网科技](https://www.vwell.cn) | Production | 共享数据存储 | | +| [声网](https://www.agora.io/cn) | Production | 大数据 | | +| [南京鹏云网络](https://www.pengyunnetwork.cn) | Production | 共享文件存储 | | +| [聚云位智 LinkoopDB](http://www.datapps.cn) | Production | 大数据 | | +| [之江实验室](https://www.zhejianglab.com) | Production | AI，共享文件存储 | | +| [国家天文科学数据中心](https://nadc.china-vo.org) | Production | 共享文件存储 | | +| [艾莎医学](https://www.ashermed.com) | Production | 共享文件存储 | | +| [蝉妈妈数据](https://www.chanmama.com) | Production | AI | | +| [NodeReal](https://nodereal.io) | Production | 共享文件存储 | | +| [不鸣科技](https://www.boomingtech.com) | Production | 共享文件存储 | | +| [博依特科技](https://www.poi-t.com) | Production | 大数据 | | +| [九曳供应链](https://www.jiuyescm.com) | Production | 大数据 | | | [顺丰速运](https://www.sf-express.com) | Testing | 大数据，共享文件存储 | | | [BIGO](https://bigo.tv) | Testing | AI | | | [蒙商消费金融](https://www.mengshangxiaofei.com) | Testing | 共享文件存储 | | | [多点 DMALL](https://www.dmall.com) | Testing | 大数据，共享文件存储 | | -欢迎你在使用 JuiceFS 后，向大家分享你的使用经验，可以直接向这个列表提交 Pull Request，或者联系我们 hello@juicedata.io。 +欢迎你在使用 JuiceFS 后，向大家分享你的使用经验，可以直接向这个列表提交 Pull Request，或者联系我们 [`hello@juicedata.io`](mailto:hello@juicedata.io)。 diff --git a/docs/zh_cn/community/articles.md b/docs/zh_cn/community/articles.md index 79a09054e963..7b60a76e456d 100644 --- a/docs/zh_cn/community/articles.md +++ b/docs/zh_cn/community/articles.md @@ -8,22 +8,21 @@ JuiceFS 广泛适用于各种数据存储和共享场景，本页汇总来自世 ## AI -- [vivo AI 计算平台的轩辕文件存储实践](https://www.infoq.cn/article/3oFSOWfYGsX5h7xzsIe6)，2022-10-18，彭毅格@vivo AI计算平台团队 +- [vivo AI 计算平台的轩辕文件存储实践](https://www.infoq.cn/article/3oFSOWfYGsX5h7xzsIe6)，2022-10-18，彭毅格@vivo AI 计算平台团队 - [深势科技分享 AI 企业多云存储架构实践](https://juicefs.com/zh-cn/blog/user-stories/dptech-ai-storage-in-multi-cloud-practice)，2022-07-06，李样兵@深势科技 - [AI 场景存储优化：云知声超算平台基于 JuiceFS 的存储实践](https://juicefs.com/zh-cn/blog/user-stories/juicefs-support-ai-storage-at-unisound)，2022-06-28，吕冬冬@云知声 -- [上汽云 x JuiceFS：iGear 用了这个小魔法，模型训练速度提升 300%](https://juicefs.com/zh-cn/blog/user-stories/performance-boost-3x-on-igear-platform)，2022-01-27，上汽云iGear +- [上汽云 x JuiceFS：iGear 用了这个小魔法，模型训练速度提升 300%](https://juicefs.com/zh-cn/blog/user-stories/performance-boost-3x-on-igear-platform)，2022-01-27，上汽云 iGear - [PaddlePaddle x JuiceFS : 全新缓存组件，大幅加速云上飞桨分布式训练作业](https://juicefs.com/zh-cn/blog/solutions/juicefs-helps-paddlepaddle-boosting-performance)，2022-01-06，百度 PaddlePaddle 团队 - [如何在 Kubernetes 集群中玩转 Fluid + JuiceFS](https://juicefs.com/zh-cn/blog/solutions/fluid-with-juicefs)，2021-12-01，吕冬冬@云知声 & 朱唯唯@Juicedata - [百亿级小文件存储，JuiceFS 在自动驾驶行业的最佳实践](https://juicefs.com/zh-cn/blog/user-stories/ten-billion-level-small-files-storage-juicefs-best-practice-in-the-autonomous-driving-industry)，2021-10-28，高昌健 -- [初探云原生下的AI分布式文件系统-JuiceFS](https://mp.weixin.qq.com/s/AiI0lVgFwycmK9Rl-6KW4w)，2021-08-18，屈骏@梯度科技 -- [如何借助 JuiceFS 为 AI 模型训练提速 7 倍](https://juicefs.com/blog/cn/posts/how-to-use-juicefs-to-speed-up-ai-model-training-by-7-times/) +- [初探云原生下的 AI 分布式文件系统-JuiceFS](https://mp.weixin.qq.com/s/AiI0lVgFwycmK9Rl-6KW4w)，2021-08-18，屈骏@梯度科技 +- [如何借助 JuiceFS 为 AI 模型训练提速 7 倍](https://juicefs.com/blog/cn/posts/how-to-use-juicefs-to-speed-up-ai-model-training-by-7-times) ## 大数据 - - [Protobuf 在知乎大数据场景的应用，利用 JuiceFS 动态注入 JAR 包](https://zhuanlan.zhihu.com/p/586120009)，2022-11-23，胡梦宇@知乎 - [金山云：基于 JuiceFS 的 Elasticsearch 温冷热数据管理实践](https://juicefs.com/zh-cn/blog/user-stories/juicefs-elasticsearch-cold-heat-data-management)，2022-11-17，侯学峰@金山云 -- [JuiceFS替代HDFS，苦HDFS小文件久矣](https://zhuanlan.zhihu.com/p/569586606)，2022-10-08，久耶供应链 大数据总监 +- [JuiceFS 替代 HDFS，苦 HDFS 小文件久矣](https://zhuanlan.zhihu.com/p/569586606)，2022-10-08，久耶供应链 大数据总监 - [JuiceFS 在 Elasticsearch/ClickHouse 温冷数据存储中的实践](https://juicefs.com/zh-cn/blog/solutions/juicefs-elasticsearch-clickhouse-hot-cold-data-storage)，2022-09-30，高昌健 - [从 Hadoop 到云原生，大数据平台如何做存算分离](https://juicefs.com/zh-cn/blog/solutions/hadoop-to-cloud-native-separation-of-compute-and-storage-for-big-data-platform)，2022-09-14，苏锐 - [理想汽车：从 Hadoop 到云原生的演进与思考](https://juicefs.com/zh-cn/blog/user-stories/li-auto-case-hadoop-cloud-native)，2022-08-30，聂磊@理想汽车 @@ -37,16 +36,16 @@ JuiceFS 广泛适用于各种数据存储和共享场景，本页汇总来自世 - [Shopee x JuiceFS：ClickHouse 冷热数据分离存储架构与实践](https://juicefs.com/zh-cn/blog/user-stories/shopee-clickhouse-with-juicefs)，2021-10-09，Teng@Shopee - [JuiceFS on AWS EMR](https://www.youtube.com/watch?v=PFNOcqiW4-M&t=3s), Youtube video, Pahud Dev - [JuiceFS 加速 Spark Shuffle](https://mp.weixin.qq.com/s/JGa2eYqM8db_OMU7SzZw8A)，2021-03-09，RespectM -- [JuiceFS 如何帮助趣头条超大规模 HDFS 降负载](https://juicefs.com/blog/cn/posts/qutoutiao-big-data-platform-user-case/) -- [环球易购数据平台如何做到既提速又省钱？](https://juicefs.com/blog/cn/posts/globalegrow-big-data-platform-user-case/) -- [JuiceFS 在大搜车数据平台的实践](https://juicefs.com/blog/cn/posts/juicefs-practice-in-souche/) -- [使用 AWS Cloudformation 在 Amazon EMR 中一分钟配置 JuiceFS](https://aws.amazon.com/cn/blogs/china/use-aws-cloudformation-to-configure-juicefs-in-amazon-emr-in-one-minute/) -- [使用 JuiceFS 在云上优化 Kylin 4.0 的存储性能](https://juicefs.com/blog/cn/posts/optimize-kylin-on-juicefs/) -- [ClickHouse 存算分离架构探索](https://juicefs.com/blog/cn/posts/clickhouse-disaggregated-storage-and-compute-practice/) +- [JuiceFS 如何帮助趣头条超大规模 HDFS 降负载](https://juicefs.com/blog/cn/posts/qutoutiao-big-data-platform-user-case) +- [环球易购数据平台如何做到既提速又省钱？](https://juicefs.com/blog/cn/posts/globalegrow-big-data-platform-user-case) +- [JuiceFS 在大搜车数据平台的实践](https://juicefs.com/blog/cn/posts/juicefs-practice-in-souche) +- [使用 AWS Cloudformation 在 Amazon EMR 中一分钟配置 JuiceFS](https://aws.amazon.com/cn/blogs/china/use-aws-cloudformation-to-configure-juicefs-in-amazon-emr-in-one-minute) +- [使用 JuiceFS 在云上优化 Kylin 4.0 的存储性能](https://juicefs.com/blog/cn/posts/optimize-kylin-on-juicefs) +- [ClickHouse 存算分离架构探索](https://juicefs.com/blog/cn/posts/clickhouse-disaggregated-storage-and-compute-practice) ## 云原生 & Kubernetes -- [存储更弹性，详解 Fluid “ECI 环境数据访问” 新功能](https://juicefs.com/zh-cn/blog/solutions/fluid-eci-juicefs)，2022-09-05，朱唯唯 +- [存储更弹性，详解 Fluid“ECI 环境数据访问”新功能](https://juicefs.com/zh-cn/blog/solutions/fluid-eci-juicefs)，2022-09-05，朱唯唯 - [基于 JuiceFS 的 KubeSphere DevOps 项目数据迁移方案](https://mp.weixin.qq.com/s/RgUHRUrL0u-J9nVqwOfS8Q)，2022-08-04，尹珉@数跑科技 - [JuiceFS CSI Driver 架构设计详解](https://juicefs.com/zh-cn/blog/engineering/juicefs-csi-driver-arch-design)，2022-03-23，朱唯唯 - [使用 KubeSphere 应用商店 5 分钟内快速部署 JuiceFS](https://juicefs.com/zh-cn/blog/solutions/kubesphere-with-juicefs)，2021-11-19，尹珉@杭州数跑科技 & 朱唯唯@Juicedata @@ -56,28 +55,29 @@ JuiceFS 广泛适用于各种数据存储和共享场景，本页汇总来自世 ## 数据共享 - [基于 JuiceFS 搭建 Milvus 分布式集群](https://juicefs.com/blog/cn/posts/build-milvus-distributed-cluster-based-on-juicefs) -- [如何解决 NAS 单点故障还顺便省了 90% 的成本？](https://juicefs.com/blog/cn/posts/modao-replace-nas-with-juicefs/) +- [如何解决 NAS 单点故障还顺便省了 90% 的成本？](https://juicefs.com/blog/cn/posts/modao-replace-nas-with-juicefs) ## 数据备份、迁移与恢复 + - [突破存储数据量限制，JuiceFS 在携程海量冷数据场景下的实践](https://juicefs.com/zh-cn/blog/user-stories/xiecheng-case)，2022-08-29，妙成 & 小峰 - [40+ 倍提升，详解 JuiceFS 元数据备份恢复性能优化方法](https://juicefs.com/zh-cn/blog/engineering/juicefs-load-and-dump-optimization)，2022-07-13，执剑 -- [利用 JuiceFS 把 MySQL 备份验证性能提升 10 倍](https://juicefs.com/blog/cn/posts/optimize-xtrabackup-prepare-by-oplog/) -- [跨云数据搬迁利器：Juicesync](https://juicefs.com/blog/cn/posts/juicesync/) -- [下厨房基于 JuiceFS 的 MySQL 备份实践](https://juicefs.com/blog/cn/posts/xiachufang-mysql-backup-practice-on-juicefs/) -- [如何用 JuiceFS 归档备份 Nginx 日志](https://juicefs.com/blog/cn/posts/backup-nginx-logs-on-juicefs/) +- [利用 JuiceFS 把 MySQL 备份验证性能提升 10 倍](https://juicefs.com/blog/cn/posts/optimize-xtrabackup-prepare-by-oplog) +- [跨云数据搬迁利器：Juicesync](https://juicefs.com/blog/cn/posts/juicesync) +- [下厨房基于 JuiceFS 的 MySQL 备份实践](https://juicefs.com/blog/cn/posts/xiachufang-mysql-backup-practice-on-juicefs) +- [如何用 JuiceFS 归档备份 Nginx 日志](https://juicefs.com/blog/cn/posts/backup-nginx-logs-on-juicefs) ## 教程，使用指南，评测等 -- [分布式文件系统JuiceFS测试总结](https://mp.weixin.qq.com/s/XFWQASQFt5FISip-mrYG4Q)，2022-09-13，邹秋波 +- [分布式文件系统 JuiceFS 测试总结](https://mp.weixin.qq.com/s/XFWQASQFt5FISip-mrYG4Q)，2022-09-13，邹秋波 - [JuiceFS 元数据引擎选型指南](https://juicefs.com/zh-cn/blog/usage-tips/juicefs-metadata-engine-selection-guide)，2022-10-12，Sandy -- [GitHub Codespaces上分离计算和存储 ？ #JuiceFS花式玩法#](https://mp.weixin.qq.com/s/geoYkruj6lkXOns7bib-qA)，2022-08-19，张俊帆 +- [GitHub Codespaces 上分离计算和存储？ #JuiceFS 花式玩法#](https://mp.weixin.qq.com/s/geoYkruj6lkXOns7bib-qA)，2022-08-19，张俊帆 - [浅析 Redis 作为 JuiceFS 元数据引擎的优劣势](https://juicefs.com/zh-cn/blog/usage-tips/introduce-redis-as-juicefs-metadata-engine)，2022-07-22，高昌健 - [如何使用 etcd 实现分布式 /etc 目录](https://juicefs.com/zh-cn/blog/usage-tips/make-distributed-etc-directory-with-etcd-and-juicefs)，2022-06-23，朱唯唯 - [社区投稿｜小团队如何妙用 JuiceFS](https://mp.weixin.qq.com/s/AAw1I6f36h1pZjLELtQCow)，2022-04-01，timfeirg - [在 Windows 上如何后台运行 JuiceFS](https://mp.weixin.qq.com/s/nMqCuit4zRoNCK4m-b0hxA)，2022-03-10，秦牧羊 - [JuiceFS 导出/导入元数据的优化之路](https://www.youtube.com/watch?v=MDMitDtLly4), Youtube Video - [初探 JuiceFS](https://mp.weixin.qq.com/s/jTBAcmUiBMBvTutdOUHpcA)，2021-11-28，ahnselina -- [JuiceFS 源码阅读-上](https://mp.weixin.qq.com/s/mdqFJLpaJ249rUUEnRiP3Q)，2021-06-24，秦牧羊 +- [JuiceFS 源码阅读 - 上](https://mp.weixin.qq.com/s/mdqFJLpaJ249rUUEnRiP3Q)，2021-06-24，秦牧羊 - [JuiceFS 你应该知道的一些事](https://mp.weixin.qq.com/s/6ylBmUXy_3aQggznl65nHg)，2021-01-15，祝威廉@Kyligence ## 内容收录 diff --git a/docs/zh_cn/community/integrations.md b/docs/zh_cn/community/integrations.md index 62d0a6190f33..13a3b74693ca 100644 --- a/docs/zh_cn/community/integrations.md +++ b/docs/zh_cn/community/integrations.md @@ -16,7 +16,7 @@ slug: /integrations ## 大数据 -- 大数据 OLAP 分析引擎 [Apache Kylin 4.0](http://kylin.apache.org) 可以使用 JuiceFS 在所有公有云上轻松部署存储计算分离架构的集群，请看 [视频分享](https://www.bilibili.com/video/BV1c54y1W72S) 和 [案例文章](https://juicefs.com/zh-cn/blog/optimize-kylin-on-juicefs/)。 +- 大数据 OLAP 分析引擎 [Apache Kylin 4.0](http://kylin.apache.org) 可以使用 JuiceFS 在所有公有云上轻松部署存储计算分离架构的集群，请看 [视频分享](https://www.bilibili.com/video/BV1c54y1W72S) 和 [案例文章](https://juicefs.com/zh-cn/blog/optimize-kylin-on-juicefs)。 - [Apache Hudi](https://hudi.apache.org) 自 v0.10.0 版本开始支持 JuiceFS，你可以参考[官方文档](https://hudi.apache.org/docs/jfs_hoodie)了解如何配置 JuiceFS。 ## DevOps diff --git a/docs/zh_cn/deployment/_share_via_nfs.md b/docs/zh_cn/deployment/_share_via_nfs.md index efb1c573e5ed..db2ca5f22ca4 100644 --- a/docs/zh_cn/deployment/_share_via_nfs.md +++ b/docs/zh_cn/deployment/_share_via_nfs.md @@ -2,4 +2,4 @@ sidebar_label: 配置 NFS 共享 sidebar_position: 5 --- -# 通过 NFS 共享 JuiceFS 存储 \ No newline at end of file +# 通过 NFS 共享 JuiceFS 存储 diff --git a/docs/zh_cn/deployment/_share_via_smb.md b/docs/zh_cn/deployment/_share_via_smb.md index 002f66ba795b..b1ad904722f5 100644 --- a/docs/zh_cn/deployment/_share_via_smb.md +++ b/docs/zh_cn/deployment/_share_via_smb.md @@ -2,4 +2,4 @@ sidebar_label: 配置 SMB 共享 sidebar_position: 6 --- -# 通过 SMB 共享 JuiceFS 存储 \ No newline at end of file +# 通过 SMB 共享 JuiceFS 存储 diff --git a/docs/zh_cn/deployment/hadoop_java_sdk.md b/docs/zh_cn/deployment/hadoop_java_sdk.md index 8367198a59ab..0a88dc9504df 100644 --- a/docs/zh_cn/deployment/hadoop_java_sdk.md +++ b/docs/zh_cn/deployment/hadoop_java_sdk.md @@ -49,10 +49,10 @@ JuiceFS 默认使用本地的「用户／UID」及「用户组／GID」映射， 编译依赖以下工具： -- [Go](https://golang.org/) 1.15+（中国用户建议使用 [Goproxy China 镜像加速](https://github.com/goproxy/goproxy.cn)） +- [Go](https://golang.org) 1.15+（中国用户建议使用 [Goproxy China 镜像加速](https://github.com/goproxy/goproxy.cn)） - JDK 8+ -- [Maven](https://maven.apache.org/) 3.3+（中国用户建议使用[阿里云镜像加速](https://maven.aliyun.com)） -- git +- [Maven](https://maven.apache.org) 3.3+（中国用户建议使用[阿里云镜像加速](https://maven.aliyun.com)） +- Git - make - GCC 5.4+ @@ -87,7 +87,7 @@ make #### Windows -用于 Windows 环境的客户端需要在 Linux 或 macOS 系统上通过交叉编译的方式获得，编译依赖 [mingw-w64](https://www.mingw-w64.org/)，需要提前安装。 +用于 Windows 环境的客户端需要在 Linux 或 macOS 系统上通过交叉编译的方式获得，编译依赖 [mingw-w64](https://www.mingw-w64.org)，需要提前安装。 与编译面向 Linux 和 macOS 客户端的步骤相同，比如在 Ubuntu 系统上，先安装 `mingw-w64` 包，解决依赖问题： @@ -100,6 +100,7 @@ sudo apt install mingw-w64 ```shell cd juicefs/sdk/java ``` + ```shell make win ``` @@ -267,107 +268,112 @@ $HADOOP_COMMON_HOME/lib/juicefs-hadoop.jar 将配置参数加入 `conf/flink-conf.yaml`。如果只是在 Flink 中使用 JuiceFS, 可以不在 Hadoop 环境配置 JuiceFS，只需要配置 Flink 客户端即可。 -#### 在阿里云实时平台 Flink sql 使用 JuiceFS +#### 在阿里云实时平台 Flink SQL 使用 JuiceFS -1. 创建 maven 项目，根据 flink 不同版本引入如下依赖 +1. 创建 Maven 项目，根据 Flink 不同版本引入如下依赖 -```xml - - - io.juicefs - juicefs-hadoop - {JUICEFS_HADOOP_VERSION} - - - - - org.apache.flink - flink-table-runtime-blink_2.12 - 1.13.5 - provided - - - - - org.apache.flink - flink-table-common - 1.15.2 - provided - - - org.apache.flink - flink-connector-files - 1.15.2 - provided - - -``` + ```xml + + + io.juicefs + juicefs-hadoop + {JUICEFS_HADOOP_VERSION} + + + + + org.apache.flink + flink-table-runtime-blink_2.12 + 1.13.5 + provided + + + + + org.apache.flink + flink-table-common + 1.15.2 + provided + + + org.apache.flink + flink-connector-files + 1.15.2 + provided + + + ``` 2. 创建一个 Java class -```java -public class JuiceFileSystemTableFactory extends FileSystemTableFactory { - @Override - public String factoryIdentifier() { - return "juicefs"; - } -} -``` + + ```java + public class JuiceFileSystemTableFactory extends FileSystemTableFactory { + @Override + public String factoryIdentifier() { + return "juicefs"; + } + } + ``` 3. Flink table connector 是使用 Java’s Service Provider Interfaces (SPI) 加载自定义实现。 在 resources 按照如下结构创建文件 -``` -## for flink-1.13 -src/main/resources -├── META-INF -│ └── services -│ └── org.apache.flink.table.factories.Factory -``` + ``` + ## for flink-1.13 + src/main/resources + ├── META-INF + │ └── services + │ └── org.apache.flink.table.factories.Factory + ``` -org.apache.flink.table.factories.Factory 文件内容： + `org.apache.flink.table.factories.Factory` 文件内容： -``` -{YOUR_PACKAGE}.JuiceFileSystemTableFactory -``` + ``` + {YOUR_PACKAGE}.JuiceFileSystemTableFactory + ``` 4. 将填写有 JuiceFS 配置的 core-site.xml 放到 src/main/resources 内： -```xml - - - fs.juicefs.impl - io.juicefs.JuiceFileSystem - - - juicefs.meta - redis://xxx.redis.rds.aliyuncs.com:6379/0 - - ... - -``` -:::note 注意 -由于 jfs scheme 被阿里其他文件系统占用，所以需要配置 fs.juicefs.impl 类为 JuiceFS 的实现类，并在后续路径使用 ``juicefs://`` 协议 -::: -5. 打包，确保 jar 内包含 resources 目录下内容 -6. 通过阿里云实时计算平台控制台->应用->作业开发->connectors界面上传 jar 文件 -7. 测试，将如下 sql 上线运行，可以在 JuiceFS 的 `tmp/tbl` 目录下发现写入内容 -```sql -CREATE TEMPORARY TABLE datagen_source( - name VARCHAR -) WITH ( - 'connector' = 'datagen', - 'number-of-rows' = '100' -); - -CREATE TEMPORARY TABLE jfs_sink (name string) -with ( - 'connector' = 'juicefs', 'path' = 'juicefs://{VOL_NAME}/tmp/tbl', 'format' = 'csv' -); - -INSERT INTO jfs_sink -SELECT - name -from datagen_source; -``` + + ```xml + + + fs.juicefs.impl + io.juicefs.JuiceFileSystem + + + juicefs.meta + redis://xxx.redis.rds.aliyuncs.com:6379/0 + + ... + + ``` + + :::note 注意 + 由于 `jfs://` scheme 被阿里其他文件系统占用，所以需要配置 `fs.juicefs.impl` 类为 JuiceFS 的实现类，并在后续路径使用 `juicefs://` 协议。 + ::: + +5. 打包，确保 JAR 内包含 resources 目录下内容 +6. 通过阿里云实时计算平台控制台->应用->作业开发->connectors 界面上传 JAR 文件 +7. 测试，将如下 SQL 上线运行，可以在 JuiceFS 的 `tmp/tbl` 目录下发现写入内容 + + ```sql + CREATE TEMPORARY TABLE datagen_source( + name VARCHAR + ) WITH ( + 'connector' = 'datagen', + 'number-of-rows' = '100' + ); + + CREATE TEMPORARY TABLE jfs_sink (name string) + with ( + 'connector' = 'juicefs', 'path' = 'juicefs://{VOL_NAME}/tmp/tbl', 'format' = 'csv' + ); + + INSERT INTO jfs_sink + SELECT + name + from datagen_source; + ``` ### Hudi @@ -573,13 +579,12 @@ Hadoop 默认使用的 Checksum 算法是 MD5-MD5-CRC32, 严重依赖 HDFS 的 因为该算法依赖于相同的分块大小，需要通过 `juicefs.block.size` 配置将分块大小设置为跟 HDFS 一样（默认值是 `dfs.blocksize`，它的默认值是 128MB）。 -另外，HDFS 里支持给每一个文件设置不同的分块大小，而 JuiceFS 不支持，如果启用 Checksum 校验的话会导致拷贝部分文件失败（因为分块大小不同），JuiceFS Hadoop Java SDK 对 DistCp 打了一个热补丁（需要 tools.jar）来跳过这些分块不同的文件（不做比较，而不是抛异常）。 +另外，HDFS 里支持给每一个文件设置不同的分块大小，而 JuiceFS 不支持，如果启用 Checksum 校验的话会导致拷贝部分文件失败（因为分块大小不同），JuiceFS Hadoop Java SDK 对 DistCp 打了一个热补丁（需要 `tools.jar`）来跳过这些分块不同的文件（不做比较，而不是抛异常）。 ## 基准测试 以下提供了一系列方法，使用 JuiceFS 客户端内置的压测工具，对已经成功部署了客户端环境进行性能测试。 - ### 1. 本地测试 #### 元数据性能 @@ -727,7 +732,6 @@ Hadoop 默认使用的 Checksum 算法是 MD5-MD5-CRC32, 严重依赖 HDFS 的 此命令会启动 10 个 map task，每个 task 读取 10000MB 的数据 - - **参考值** | 操作 | 平均吞吐（MB/s） | 总吞吐（MB/s） | @@ -853,9 +857,9 @@ JuiceFS 可以使用本地磁盘作为缓存加速数据访问，以下数据是 ### 1. 出现 `Class io.juicefs.JuiceFileSystem not found` 异常 -出现这个异常的原因是 juicefs-hadoop.jar 没有被加载，可以用 `lsof -p {pid} | grep juicefs` 查看 JAR 文件是否被加载。需要检查 JAR 文件是否被正确地放置在各个组件的 classpath 里面，并且保证 JAR 文件有可读权限。 +出现这个异常的原因是 `juicefs-hadoop.jar` 没有被加载，可以用 `lsof -p {pid} | grep juicefs` 查看 JAR 文件是否被加载。需要检查 JAR 文件是否被正确地放置在各个组件的 classpath 里面，并且保证 JAR 文件有可读权限。 -另外，在某些发行版 Hadoop 环境中，需要修改 `mapred-site.xml` 中的 `mapreduce.application.classpath` 参数，添加 juicefs-hadoop.jar 的路径。 +另外，在某些发行版 Hadoop 环境中，需要修改 `mapred-site.xml` 中的 `mapreduce.application.classpath` 参数，添加 `juicefs-hadoop.jar` 的路径。 ### 2. 出现 `No FilesSystem for scheme: jfs` 异常 diff --git a/docs/zh_cn/deployment/juicefs_on_docker.md b/docs/zh_cn/deployment/juicefs_on_docker.md index 6ad0a29e0896..97cb3c15415a 100644 --- a/docs/zh_cn/deployment/juicefs_on_docker.md +++ b/docs/zh_cn/deployment/juicefs_on_docker.md @@ -22,6 +22,7 @@ sudo docker run -d --name nginx \ :::tip 使用 root 用户或 sudo 命令挂载的 JuiceFS 存储，会自动添加 `allow_other` 选项，无需手动设置。 ::: + ### 调整 FUSE 设置 默认情况下，`allow_other` 选项只允许 root 用户使用，为了让普通用户也有权限使用该挂载选项，需要修改 FUSE 的配置文件。 @@ -34,6 +35,7 @@ sudo nano /etc/fuse.conf 将配置文件中的 `user_allow_other` 前面的 `#` 注释符删掉，修改后类似下面这样： + ```conf # /etc/fuse.conf - Configuration file for Filesystem in Userspace (FUSE) @@ -44,6 +46,7 @@ sudo nano /etc/fuse.conf # Allow non-root users to specify the allow_other or allow_root mount options. user_allow_other ``` + ### 重新挂载 JuiceFS @@ -55,7 +58,7 @@ juicefs mount -d -o allow_other redis://:6379/1 /mnt/jfs ## 2. Docker Volume Plugin（卷插件） {#docker-volume-plugin} -JuiceFS 面向 Docker 环境提供了 [volume plugin](https://docs.docker.com/engine/extend/)（卷插件），可以像本地磁盘一样在 JuiceFS 上创建存储卷。 +JuiceFS 面向 Docker 环境提供了 [volume plugin](https://docs.docker.com/engine/extend)（卷插件），可以像本地磁盘一样在 JuiceFS 上创建存储卷。 ### 解决依赖 @@ -148,17 +151,17 @@ sudo docker plugin rm juicefs #### 创建的存储卷未被使用却无法删除 -出现这种情况可能是在创建存储卷时设置的参数不正确，建议检查对象存储的类型、bucket 名称、Access Key、Secret Key、数据库地址等信息。可以尝试先禁用并重新启用 juicefs 卷插件的方式来释放掉有问题的卷，然后使用正确的参数信息重新创建存储卷。 +出现这种情况可能是在创建存储卷时设置的参数不正确，建议检查对象存储的类型、bucket 名称、Access Key、Secret Key、数据库地址等信息。可以尝试先禁用并重新启用 JuiceFS 卷插件的方式来释放掉有问题的卷，然后使用正确的参数信息重新创建存储卷。 #### 收集卷插件日志 -以 systemd 为例，在使用卷插件创建存储卷时的信息会动态输出到 docker daemon 日志，为了排查故障，可以在执行操作时另开一个终端窗口执行以下命令查看实时日志信息： +以 systemd 为例，在使用卷插件创建存储卷时的信息会动态输出到 Docker daemon 日志，为了排查故障，可以在执行操作时另开一个终端窗口执行以下命令查看实时日志信息： ```shell journalctl -f -u docker | grep "plugin=" ``` -想要了解更多 JuiceFS 卷插件内容，可以访问 [juicedata/docker-volume-juicefs](https://github.com/juicedata/docker-volume-juicefs) 代码仓库。 +想要了解更多 JuiceFS 卷插件内容，可以访问 [`juicedata/docker-volume-juicefs`](https://github.com/juicedata/docker-volume-juicefs) 代码仓库。 ## 3. 在 Docker 容器中挂载 JuiceFS {#mount-juicefs-in-docker} @@ -166,7 +169,7 @@ journalctl -f -u docker | grep "plugin=" ### 使用预构建的镜像 -[juicedata/mount](https://hub.docker.com/r/juicedata/mount) 是 JuiceFS 官方维护的客户端镜像，里面同时打包了社区版和云服务客户端，程序路径分别为： +[`juicedata/mount`](https://hub.docker.com/r/juicedata/mount) 是 JuiceFS 官方维护的客户端镜像，里面同时打包了社区版和云服务客户端，程序路径分别为： - **社区版**：`/usr/local/bin/juicefs` - **云服务**：`/usr/bin/juicefs` @@ -182,7 +185,7 @@ journalctl -f -u docker | grep "plugin=" ### 手动编译镜像 -某些情况下，你可能需要把 JuiceFS 客户端集成到特定的系统镜像，这时需要你自行编写 Dockerfile 文件。在此过程中，你既可以直接下载预编译的客户端，也可以参考 [juicefs.Dockerfile](https://github.com/juicedata/juicefs-csi-driver/blob/master/docker/juicefs.Dockerfile) 从源代码编译客户端。 +某些情况下，你可能需要把 JuiceFS 客户端集成到特定的系统镜像，这时需要你自行编写 Dockerfile 文件。在此过程中，你既可以直接下载预编译的客户端，也可以参考 [`juicefs.Dockerfile`](https://github.com/juicedata/juicefs-csi-driver/blob/master/docker/juicefs.Dockerfile) 从源代码编译客户端。 以下是采用下载预编译二进制文件方式的 Dockerfile 文件示例： @@ -205,7 +208,7 @@ ENTRYPOINT ["/usr/bin/juicefs", "--version"] ### 将容器中挂载的 JuiceFS 存储映射到宿主机 -JuiceFS 可以很便利地将云上的对象存储接入本地，让你可以像使用本地磁盘一样读写云存储。而如果能把整个挂载过程放在 Docker 容器中完成，那么不但能够简化操作，也更方便日常的维护和管理。这种方式非常适合企业或家庭服务器、 NAS 系统等设备创建云上数据容灾环境。 +JuiceFS 可以很便利地将云上的对象存储接入本地，让你可以像使用本地磁盘一样读写云存储。而如果能把整个挂载过程放在 Docker 容器中完成，那么不但能够简化操作，也更方便日常的维护和管理。这种方式非常适合企业或家庭服务器、NAS 系统等设备创建云上数据容灾环境。 以下是一个采用 Docker Compose 实现的示例，它在 Docker 容器中完成 JuiceFS 文件系统的创建和挂载，并将容器中的挂载点映射到宿主机的 `$HOME/mnt` 目录。 @@ -266,7 +269,7 @@ services: restart: unless-stopped ``` -可以根据需要调整上述代码中 format 和 mount 命令的参数，例如，当本地与对象存储的网络连接存在一定延迟且本地存储相对可靠时，可以通过添加 `--writeback` 选项挂载文件系统，让文件可以先存储到本地缓存，再异步上传到对象存储，详情参考[客户端写缓存](./cache_management/#客户端写缓存)。 +可以根据需要调整上述代码中 format 和 mount 命令的参数，例如，当本地与对象存储的网络连接存在一定延迟且本地存储相对可靠时，可以通过添加 `--writeback` 选项挂载文件系统，让文件可以先存储到本地缓存，再异步上传到对象存储，详情参考[客户端写缓存](../guide/cache_management.md#writeback)。 更多文件系统创建和挂载参数请查看[命令参考](../reference/command_reference.md#mount)。 diff --git a/docs/zh_cn/deployment/s3_gateway.md b/docs/zh_cn/deployment/s3_gateway.md index d1f59b7baca4..8bfcc8db8cc2 100644 --- a/docs/zh_cn/deployment/s3_gateway.md +++ b/docs/zh_cn/deployment/s3_gateway.md @@ -208,7 +208,7 @@ juicefs-s3-gateway ClusterIP 10.101.108.42 9000/TCP 142m 可以在应用 pod 中通过 `juicefs-s3-gateway.${NAMESPACE}.svc.cluster.local:9000` 域名或 `juicefs-s3-gateway` 的 pod IP 及端口号（例如 `10.244.2.238:9000`）访问 JuiceFS S3 网关。 -若想通过 Ingress 访问，需要确保集群中已经部署了 Ingress Controller，参考 [Ingress Controller 部署文档](https://kubernetes.github.io/ingress-nginx/deploy/)。创建 `Ingress` 资源： +若想通过 Ingress 访问，需要确保集群中已经部署了 Ingress Controller，参考 [Ingress Controller 部署文档](https://kubernetes.github.io/ingress-nginx/deploy)。创建 `Ingress` 资源： ```yaml kubectl apply -f - < []Slices ```go type Slice struct { - Pos uint32 // Slice 在 Chunk 中的偏移位置 - ID uint64 // Slice 的 ID，全局唯一 - Size uint32 // Slice 的总大小 - Off uint32 // 有效数据在此 Slice 中的偏移位置 - Len uint32 // 有效数据在此 Slice 中的大小 + Pos uint32 // Slice 在 Chunk 中的偏移位置 + ID uint64 // Slice 的 ID，全局唯一 + Size uint32 // Slice 的总大小 + Off uint32 // 有效数据在此 Slice 中的偏移位置 + Len uint32 // 有效数据在此 Slice 中的大小 } ``` @@ -230,7 +231,7 @@ inode, key -> value inode, sid, owner -> ltype ``` -其中 sid 为客户端会话 ID，owner 为一串数字，通常与进程相关联；ltype 为锁类型，可以为 'R' 或者 'W'。 +其中 `sid` 为客户端会话 ID，`owner` 为一串数字，通常与进程相关联；`ltype` 为锁类型，可以为 'R' 或者 'W'。 #### 3.1.13 Plock @@ -244,10 +245,10 @@ inode, sid, owner -> []plockRecord ```go type plockRecord struct { - ltype uint32 // 锁类型 - pid uint32 // 进程 ID - start uint64 // 锁起始位置 - end uint64 // 锁结束位置 + ltype uint32 // 锁类型 + pid uint32 // 进程 ID + start uint64 // 锁起始位置 + end uint64 // 锁结束位置 } ``` @@ -275,8 +276,8 @@ sliceId, deleted -> []slice ```go type slice struct { - ID uint64 - Size uint32 + ID uint64 + Size uint32 } ``` @@ -290,7 +291,7 @@ type slice struct { sid -> []inode ``` -其中 sid 为会话 ID，映射值为暂时未删除的文件 inodes 列表。 +其中 `sid` 为会话 ID，映射值为暂时未删除的文件 inodes 列表。 ### 3.2 Redis @@ -393,7 +394,7 @@ Redis 中 Key 的通用格式为 `${prefix}${JFSKey}`，其中： - Value Type：Hash - Value：此文件的所有 plocks。在 Hash 中： - Key：`${sid}_${owner}`，owner 以十六进制表示 - - Value：字节数组，其中每 24 字节对应一个 [plockRecord](#3.1.13-Plock) + - Value：字节数组，其中每 24 字节对应一个 [plockRecord](#3113-plock) #### 3.2.14 DelFiles @@ -409,7 +410,7 @@ Redis 中 Key 的通用格式为 `${prefix}${JFSKey}`，其中： - Value Type：Hash - Value：所有待清理的 Slices。在 Hash 中： - Key：`${sliceId}_${deleted}` - - Value：字节数组，其中每 12 字节对应一个 [slice](#3.1.15-DelSlices) + - Value：字节数组，其中每 12 字节对应一个 [slice](#3115-delslices) #### 3.2.16 Sustained @@ -426,8 +427,8 @@ Redis 中 Key 的通用格式为 `${prefix}${JFSKey}`，其中： ```go type setting struct { - Name string `xorm:"pk"` - Value string `xorm:"varchar(4096) notnull"` + Name string `xorm:"pk"` + Value string `xorm:"varchar(4096) notnull"` } ``` @@ -437,8 +438,8 @@ type setting struct { ```go type counter struct { - Name string `xorm:"pk"` - Value int64 `xorm:"notnull"` + Name string `xorm:"pk"` + Value int64 `xorm:"notnull"` } ``` @@ -446,9 +447,9 @@ type counter struct { ```go type session2 struct { - Sid uint64 `xorm:"pk"` - Expire int64 `xorm:"notnull"` - Info []byte `xorm:"blob"` + Sid uint64 `xorm:"pk"` + Expire int64 `xorm:"notnull"` + Info []byte `xorm:"blob"` } ``` @@ -460,33 +461,33 @@ type session2 struct { ```go type node struct { - Inode Ino `xorm:"pk"` - Type uint8 `xorm:"notnull"` - Flags uint8 `xorm:"notnull"` - Mode uint16 `xorm:"notnull"` - Uid uint32 `xorm:"notnull"` - Gid uint32 `xorm:"notnull"` - Atime int64 `xorm:"notnull"` - Mtime int64 `xorm:"notnull"` - Ctime int64 `xorm:"notnull"` - Nlink uint32 `xorm:"notnull"` - Length uint64 `xorm:"notnull"` - Rdev uint32 - Parent Ino + Inode Ino `xorm:"pk"` + Type uint8 `xorm:"notnull"` + Flags uint8 `xorm:"notnull"` + Mode uint16 `xorm:"notnull"` + Uid uint32 `xorm:"notnull"` + Gid uint32 `xorm:"notnull"` + Atime int64 `xorm:"notnull"` + Mtime int64 `xorm:"notnull"` + Ctime int64 `xorm:"notnull"` + Nlink uint32 `xorm:"notnull"` + Length uint64 `xorm:"notnull"` + Rdev uint32 + Parent Ino } ``` -大部分字段与 [Attr](#3.1.5-Node) 相同，但时间戳使用了较低精度，其中 Atime/Mtime/Ctime 的单位为微秒。 +大部分字段与 [Attr](#315-node) 相同，但时间戳使用了较低精度，其中 Atime/Mtime/Ctime 的单位为微秒。 #### 3.3.6 Edge ```go type edge struct { - Id int64 `xorm:"pk bigserial"` - Parent Ino `xorm:"unique(edge) notnull"` - Name []byte `xorm:"unique(edge) varbinary(255) notnull"` - Inode Ino `xorm:"index notnull"` - Type uint8 `xorm:"notnull"` + Id int64 `xorm:"pk bigserial"` + Parent Ino `xorm:"unique(edge) notnull"` + Name []byte `xorm:"unique(edge) varbinary(255) notnull"` + Inode Ino `xorm:"index notnull"` + Type uint8 `xorm:"notnull"` } ``` @@ -498,22 +499,22 @@ type edge struct { ```go type chunk struct { - Id int64 `xorm:"pk bigserial"` - Inode Ino `xorm:"unique(chunk) notnull"` - Indx uint32 `xorm:"unique(chunk) notnull"` - Slices []byte `xorm:"blob notnull"` + Id int64 `xorm:"pk bigserial"` + Inode Ino `xorm:"unique(chunk) notnull"` + Indx uint32 `xorm:"unique(chunk) notnull"` + Slices []byte `xorm:"blob notnull"` } ``` -Slices 是一段字节数组，每 24 字节对应一个 [Slice](#3.1.8-Chunk)。 +Slices 是一段字节数组，每 24 字节对应一个 [Slice](#318-chunk)。 #### 3.3.9 SliceRef ```go type sliceRef struct { - Id uint64 `xorm:"pk chunkid"` - Size uint32 `xorm:"notnull"` - Refs int `xorm:"notnull"` + Id uint64 `xorm:"pk chunkid"` + Size uint32 `xorm:"notnull"` + Refs int `xorm:"notnull"` } ``` @@ -521,8 +522,8 @@ type sliceRef struct { ```go type symlink struct { - Inode Ino `xorm:"pk"` - Target []byte `xorm:"varbinary(4096) notnull"` + Inode Ino `xorm:"pk"` + Target []byte `xorm:"varbinary(4096) notnull"` } ``` @@ -530,10 +531,10 @@ type symlink struct { ```go type xattr struct { - Id int64 `xorm:"pk bigserial"` - Inode Ino `xorm:"unique(name) notnull"` - Name string `xorm:"unique(name) notnull"` - Value []byte `xorm:"blob notnull"` + Id int64 `xorm:"pk bigserial"` + Inode Ino `xorm:"unique(name) notnull"` + Name string `xorm:"unique(name) notnull"` + Value []byte `xorm:"blob notnull"` } ``` @@ -541,11 +542,11 @@ type xattr struct { ```go type flock struct { - Id int64 `xorm:"pk bigserial"` - Inode Ino `xorm:"notnull unique(flock)"` - Sid uint64 `xorm:"notnull unique(flock)"` - Owner int64 `xorm:"notnull unique(flock)"` - Ltype byte `xorm:"notnull"` + Id int64 `xorm:"pk bigserial"` + Inode Ino `xorm:"notnull unique(flock)"` + Sid uint64 `xorm:"notnull unique(flock)"` + Owner int64 `xorm:"notnull unique(flock)"` + Ltype byte `xorm:"notnull"` } ``` @@ -553,23 +554,23 @@ type flock struct { ```go type plock struct { - Id int64 `xorm:"pk bigserial"` - Inode Ino `xorm:"notnull unique(plock)"` - Sid uint64 `xorm:"notnull unique(plock)"` - Owner int64 `xorm:"notnull unique(plock)"` - Records []byte `xorm:"blob notnull"` + Id int64 `xorm:"pk bigserial"` + Inode Ino `xorm:"notnull unique(plock)"` + Sid uint64 `xorm:"notnull unique(plock)"` + Owner int64 `xorm:"notnull unique(plock)"` + Records []byte `xorm:"blob notnull"` } ``` -Records 是一段字节数组，每 24 字节对应一个 [plockRecord](#3.1.13-Plock)。 +Records 是一段字节数组，每 24 字节对应一个 [plockRecord](#3113-plock)。 #### 3.3.14 DelFiles ```go type delfile struct { - Inode Ino `xorm:"pk notnull"` - Length uint64 `xorm:"notnull"` - Expire int64 `xorm:"notnull"` + Inode Ino `xorm:"pk notnull"` + Length uint64 `xorm:"notnull"` + Expire int64 `xorm:"notnull"` } ``` @@ -577,21 +578,21 @@ type delfile struct { ```go type delslices struct { - Id uint64 `xorm:"pk chunkid"` - Deleted int64 `xorm:"notnull"` - Slices []byte `xorm:"blob notnull"` + Id uint64 `xorm:"pk chunkid"` + Deleted int64 `xorm:"notnull"` + Slices []byte `xorm:"blob notnull"` } ``` -Slices 是一段字节数组，每 12 字节对应一个 [slice](#3.1.15-DelSlices)。 +Slices 是一段字节数组，每 12 字节对应一个 [slice](#3115-delslices)。 #### 3.3.16 Sustained ```go type sustained struct { - Id int64 `xorm:"pk bigserial"` - Sid uint64 `xorm:"unique(sustained) notnull"` - Inode Ino `xorm:"unique(sustained) notnull"` + Id int64 `xorm:"pk bigserial"` + Sid uint64 `xorm:"unique(sustained) notnull"` + Inode Ino `xorm:"unique(sustained) notnull"` } ``` @@ -605,7 +606,7 @@ TKV（Transactional Key-Value Database）中 Key 的通用格式为 `${prefix}${ 在 TKV 的 Keys 中，所有整数都以编码后的二进制形式存储： - inode 和 counter value 占 8 个字节，使用**小端**编码 -- sid、sliceId 和 timestamp 占 8 个字节，使用**大端**编码 +- SID、sliceId 和 timestamp 占 8 个字节，使用**大端**编码 #### 3.4.1 Setting @@ -655,7 +656,7 @@ A${inode}P${parentInode} -> counter value A${inode}C${index} -> Slices ``` -其中 index 占 4 个字节，使用**大端**编码。Slices 是一段字节数组，每 24 字节对应一个 [Slice](#3.1.8-Chunk)。 +其中 index 占 4 个字节，使用**大端**编码。Slices 是一段字节数组，每 24 字节对应一个 [Slice](#318-chunk)。 #### 3.4.9 SliceRef @@ -687,9 +688,9 @@ F${inode} -> flocks ```go type flock struct { - sid uint64 - owner uint64 - ltype uint8 + sid uint64 + owner uint64 + ltype uint8 } ``` @@ -703,14 +704,14 @@ P${inode} -> plocks ```go type plock struct { - sid uint64 - owner uint64 - size uint32 - records []byte + sid uint64 + owner uint64 + size uint32 + records []byte } ``` -其中 size 是 records 数组的长度，records 中每 24 字节对应一个 [plockRecord](#3.1.13-Plock)。 +其中 size 是 records 数组的长度，records 中每 24 字节对应一个 [plockRecord](#3113-plock)。 #### 3.4.14 DelFiles @@ -726,7 +727,7 @@ D${inode}${length} -> timestamp L${timestamp}${sliceId} -> slices ``` -其中 slices 是一段字节数组，每 12 字节对应一个 [slice](#3.1.15-DelSlices)。 +其中 slices 是一段字节数组，每 12 字节对应一个 [slice](#3115-delslices)。 #### 3.4.16 Sustained @@ -740,12 +741,12 @@ SS${sid}${inode} -> 1 ### 4.1 根据路径查找文件 -根据 [Edge](#3.1.6-Edge) 的设计，元数据引擎中只记录了每个目录的直接子节点。当应用提供一个路径来访问文件时，JuiceFS 需要逐级查找。现在假设应用想打开文件 `/dir1/dir2/testfile`，则需要： +根据 [Edge](#316-edge) 的设计，元数据引擎中只记录了每个目录的直接子节点。当应用提供一个路径来访问文件时，JuiceFS 需要逐级查找。现在假设应用想打开文件 `/dir1/dir2/testfile`，则需要： 1. 在根目录（Inode 号固定为 1）的 Edge 结构中搜寻 name 为 "dir1" 的 entry，得到其 inode 号 N1 2. 在 N1 的 Edge 结构中搜寻 name 为 "dir2" 的 entry，得到其 inode 号 N2 3. 在 N2 的 Edge 结构中搜寻 name 为 "testfile" 的 entry，得到其 inode 号 N3 -4. 根据 N3 搜寻其对应的 [Node](#3.1.5-Node) 结构，得到该文件的相关属性 +4. 根据 N3 搜寻其对应的 [Node](#315-node) 结构，得到该文件的相关属性 在以上步骤中，任何一步搜寻失败都会导致该路径指向的文件未找到。 @@ -758,7 +759,7 @@ SS${sid}${inode} -> 1 Chunk: |<--- Chunk 0 --->|<--- Chunk 1 --->|<-- Chunk 2 -->| ``` -在单机 Redis 中，这意味着有 3 个 [Chunk Keys](#3.1.8-Chunk)，分别为 `c100_0`， `c100_1` 和 `c100_2`，每个 Key 对应一个 Slices 列表。这些 Slices 主要在数据写入时生成，可能互相之间有覆盖，也可能未完全填充满 Chunk。因此，在使用前需要顺序遍历这个 Slices 列表，并重新构建出最新版的数据分布，做到： +在单机 Redis 中，这意味着有 3 个 [Chunk Keys](#318-chunk)，分别为 `c100_0`， `c100_1` 和 `c100_2`，每个 Key 对应一个 Slices 列表。这些 Slices 主要在数据写入时生成，可能互相之间有覆盖，也可能未完全填充满 Chunk。因此，在使用前需要顺序遍历这个 Slices 列表，并重新构建出最新版的数据分布，做到： 1. 有多个 Slice 覆盖的部分以最后加入的 Slice 为准 2. 没有被 Slice 覆盖的部分自动补零，用 sliceId = 0 来表示 @@ -785,6 +786,7 @@ New List: |_ _ _ _ _|_ _ _|_ _ _ _ _|_ _ _ _ _|_ _|_ _ _ _ _ _ _ _ _ _ _ _| ``` 重构后的新列表包含且仅包含了此 Chunk 的最新数据分布，具体如下： + ```go Slice{pos: 0, id: 0, size: 10M, off: 0, len: 10M} Slice{pos: 10M, id: 10, size: 30M, off: 0, len: 6M} @@ -808,14 +810,14 @@ Block 是 JuiceFS 管理数据的基本单元，其大小默认为 4 MiB，且 - index 是该对象在所属 Slice 中的序号，默认一个 Slice 最多能拆成 16 个 Blocks，因此其取值范围为 [0, 16) - size 是该 Block 的大小，默认情况下其取值范围为 (0, 4 MiB] -目前使用的 hash 算法有两种，以 basename 中的 sliceId 为参数，根据文件系统格式化时的 [HashPrefix](#3.1.1-Setting) 配置选择： +目前使用的 hash 算法有两种，以 basename 中的 sliceId 为参数，根据文件系统格式化时的 [HashPrefix](#311-setting) 配置选择： ```go func hash(sliceId int) string { - if HashPrefix { - return fmt.Sprintf("%02X/%d", sliceId%256, sliceId/1000/1000) - } - return fmt.Sprintf("%d/%d", sliceId/1000/1000, sliceId/1000) + if HashPrefix { + return fmt.Sprintf("%02X/%d", sliceId%256, sliceId/1000/1000) + } + return fmt.Sprintf("%d/%d", sliceId/1000/1000, sliceId/1000) } ``` @@ -872,11 +874,11 @@ objects: #### 4.3.2 数据压缩 -在文件系统格式化时可以通过 `--compress ` 参数配置压缩算法（支持 lz4 和 zstd），使得此文件系统的所有数据 Block 会经过压缩后再上传到对象存储。此时对象名称仍与默认配置相同，且内容为原始数据经压缩算法后的结果，不携带任何其它元信息。因此，文件[文统格式化信息](#3.1.1-Setting)中的压缩算法不允许修改，否则会导致读取已有数据失败。 +在文件系统格式化时可以通过 `--compress ` 参数配置压缩算法（支持 LZ4 和 zstd），使得此文件系统的所有数据 Block 会经过压缩后再上传到对象存储。此时对象名称仍与默认配置相同，且内容为原始数据经压缩算法后的结果，不携带任何其它元信息。因此，文件[文统格式化信息](#311-setting)中的压缩算法不允许修改，否则会导致读取已有数据失败。 #### 4.3.3 数据加密 -在文件系统格式化时可以通过 `--encrypt-rsa-key ` 参数配置 RSA 私钥以开启[静态数据加密](https://juicefs.com/docs/zh/community/security/encrypt#%E9%9D%99%E6%80%81%E6%95%B0%E6%8D%AE%E5%8A%A0%E5%AF%86)功能，使得此文件系统的所有数据 Block 会经过加密后再上传到对象存储。此时对象名称仍与默认配置相同，内容为一段 header 加上数据经加密算法后的结果。这段 header 里记录了用来解密的对称密钥以及随机种子，而对称密钥本身又经过 RSA 私钥加密。因此，文件[文统格式化信息](#3.1.1-Setting)中的 RSA 私钥目前不允许修改，否则会导致读取已有数据失败。 +在文件系统格式化时可以通过 `--encrypt-rsa-key ` 参数配置 RSA 私钥以开启[静态数据加密](../security/encrypt.md)功能，使得此文件系统的所有数据 Block 会经过加密后再上传到对象存储。此时对象名称仍与默认配置相同，内容为一段 header 加上数据经加密算法后的结果。这段 header 里记录了用来解密的对称密钥以及随机种子，而对称密钥本身又经过 RSA 私钥加密。因此，文件[文统格式化信息](#311-setting)中的 RSA 私钥目前不允许修改，否则会导致读取已有数据失败。 :::note 备注 若同时开启压缩和加密，原始数据会先压缩再加密后上传到对象存储。 diff --git a/docs/zh_cn/faq.md b/docs/zh_cn/faq.md index ed4588e1d2e7..240a15f7a635 100644 --- a/docs/zh_cn/faq.md +++ b/docs/zh_cn/faq.md @@ -47,17 +47,17 @@ slug: /faq ### 为什么不支持某个对象存储？ -已经支持了绝大部分对象存储，参考这个[列表](guide/how_to_set_up_object_storage.md#支持的存储服务)。如果它跟 S3 兼容的话，也可以当成 S3 来使用。否则，请创建一个 issue 来增加支持。 +已经支持了绝大部分对象存储，参考这个[列表](guide/how_to_set_up_object_storage.md#supported-object-storage)。如果它跟 S3 兼容的话，也可以当成 S3 来使用。否则，请创建一个 issue 来增加支持。 ### 为什么在对象存储中看不到那些已经存入 JuiceFS 的原始文件？ -请参考[「JuiceFS 如何存储文件」](introduction/architecture.md#如何存储文件)。 +请参考[「JuiceFS 如何存储文件」](introduction/architecture.md#how-juicefs-store-files)。 ### 为什么我在挂载点删除了文件，但是对象存储占用空间没有变化或者变化很小？ 第一个原因是你可能开启了回收站特性。为了保证数据安全回收站默认开启，删除的文件其实被放到了回收站，实际并没有被删除，所以对象存储大小不会变化。回收站的保留时间可以通过 `juicefs format` 指定或者通过 `juicefs config` 修改。请参考[「回收站」](security/trash.md)文档了解更多信息。 -第二个原因是 JuiceFS 是异步删除对象存储中的数据，所以对象存储的空间变化会慢一点。如果你需要立即清理对象存储中需要被删除的数据，可以尝试运行 [`juicefs gc`](reference/command_reference.md#juicefs-gc) 命令。 +第二个原因是 JuiceFS 是异步删除对象存储中的数据，所以对象存储的空间变化会慢一点。如果你需要立即清理对象存储中需要被删除的数据，可以尝试运行 [`juicefs gc`](reference/command_reference.md#gc) 命令。 ### 为什么挂载点显示的大小与对象存储占用空间存在差异？ @@ -77,7 +77,7 @@ slug: /faq ### 一个文件系统可以绑定多个不同的对象存储吗（比如同时用 Amazon S3、GCS 和 OSS 组成一个文件系统）？ -不支持。但在创建文件系统时可以设定关联同一个对象存储的多个 bucket，从而解决单个 bucket 对象数量限制的问题，例如，可以为一个文件系统关联多个 S3 Bucket。具体请参考 [`--shards`](./reference/command_reference.md#juicefs-format) 选项的说明。 +不支持。但在创建文件系统时可以设定关联同一个对象存储的多个 bucket，从而解决单个 bucket 对象数量限制的问题，例如，可以为一个文件系统关联多个 S3 Bucket。具体请参考 [`--shards`](./reference/command_reference.md#format) 选项的说明。 ## 性能相关问题 @@ -89,7 +89,7 @@ JuiceFS 内置多级缓存（主动失效），一旦缓存预热好，访问的 ### JuiceFS 支持随机读写吗？ -支持，包括通过 mmap 等进行的随机读写。目前 JuiceFS 主要是对顺序读写进行了大量优化，对随机读写的优化也在进行中。如果想要更好的随机读性能，建议关闭压缩（[`--compress none`](reference/command_reference.md#juicefs-format)）。 +支持，包括通过 mmap 等进行的随机读写。目前 JuiceFS 主要是对顺序读写进行了大量优化，对随机读写的优化也在进行中。如果想要更好的随机读性能，建议关闭压缩（[`--compress none`](reference/command_reference.md#format)）。 ### JuiceFS 支持随机写的实现原理是什么？ @@ -103,7 +103,7 @@ JuiceFS 不将原始文件存入对象存储，而是将其按照某个大小（ 请在挂载时加上 [`--writeback` 选项](reference/command_reference.md#mount)，它会先把数据写入本机的缓存，然后再异步上传到对象存储，会比直接上传到对象存储快很多倍。 -请查看[「客户端写缓存」](guide/cache_management.md#客户端写缓存)了解更多信息。 +请查看[「客户端写缓存」](guide/cache_management.md#writeback)了解更多信息。 ### JuiceFS 目前支持分布式缓存吗？ @@ -113,13 +113,13 @@ JuiceFS 不将原始文件存入对象存储，而是将其按照某个大小（ ### 数据更新什么时候会对其它客户端可见？ -所有的元数据更新都是立即对其它客户端可见。JuiceFS 保证关闭再打开（close-to-open）一致性，请查看[「一致性」](guide/cache_management.md#数据一致性)了解更多信息。 +所有的元数据更新都是立即对其它客户端可见。JuiceFS 保证关闭再打开（close-to-open）一致性，请查看[「一致性」](guide/cache_management.md#consistency)了解更多信息。 通过 `write()` 新写入的数据会缓存在内核和客户端中，可以被当前机器的其它进程看到，其它机器暂时看不到。 调用 `fsync()`、`fdatasync()` 或者 `close()` 来强制将数据上传到对象存储并更新元数据，或者数秒钟自动刷新后，其它客户端才能看到更新，这也是绝大多数分布式文件系统采取的策略。 -请查看[「客户端写缓存」](guide/cache_management.md#客户端写缓存)了解更多信息。 +请查看[「客户端写缓存」](guide/cache_management.md#writeback)了解更多信息。 ### 为什么同一个用户在主机 X 上有权限访问 JuiceFS 的文件，在主机 Y 上访问该文件却没有权限？ diff --git a/docs/zh_cn/getting-started/README.md b/docs/zh_cn/getting-started/README.md index 24aaee688884..c6514aebab6c 100644 --- a/docs/zh_cn/getting-started/README.md +++ b/docs/zh_cn/getting-started/README.md @@ -25,7 +25,7 @@ curl -sSL https://d.juicefs.com/install | sh - ### 基本概念 -创建文件系统使用客户端提供的 [`format`](../reference/command_reference.md#juicefs-format) 命令，一般格式为： +创建文件系统使用客户端提供的 [`format`](../reference/command_reference.md#format) 命令，一般格式为： ```shell juicefs format [command options] META-URL NAME @@ -77,12 +77,12 @@ juicefs mount [command options] META-URL MOUNTPOINT 与创建文件系统的命令类似，挂载文件系统需要提供以下信息： -1. **[command options]**：用来指定文件系统相关的选项，例如：`-d` 可以实现后台挂载； -2. **META-URL**：用来设置元数据存储。即数据库相关的信息，通常是数据库的 URL 或文件路径； -3. **MOUNTPOINT**：指定文件系统的挂载点。 +1. `[command options]`：用来指定文件系统相关的选项，例如：`-d` 可以实现后台挂载； +2. `META-URL`：用来设置元数据存储。即数据库相关的信息，通常是数据库的 URL 或文件路径； +3. `MOUNTPOINT`：指定文件系统的挂载点。 :::tip 提示 -Windows 系统的挂载点（MOUNTPOINT）应该使用尚未占用的盘符，比如：`Z:`、`Y:`。 +Windows 系统的挂载点（`MOUNTPOINT`）应该使用尚未占用的盘符，比如：`Z:`、`Y:`。 ::: ### 上手实践 @@ -107,7 +107,7 @@ juicefs mount sqlite3://myjfs.db ~/jfs juicefs mount sqlite3://myjfs.db ~/jfs -d ``` -接下来，任何存入挂载点 `~/jfs` 的文件，都会按照 [JuiceFS 的文件存储格式](../introduction/architecture.md#如何存储文件)被拆分成特定的「数据块」并存入 `$HOME/.juicefs/local/myjfs` 目录中，相对应的「元数据」会全部存储在 `myjfs.db` 数据库中。 +接下来，任何存入挂载点 `~/jfs` 的文件，都会按照 [JuiceFS 的文件存储格式](../introduction/architecture.md#how-juicefs-store-files)被拆分成特定的「数据块」并存入 `$HOME/.juicefs/local/myjfs` 目录中，相对应的「元数据」会全部存储在 `myjfs.db` 数据库中。 最后执行以下命令可以将挂载点 `~/jfs` 卸载： @@ -117,7 +117,7 @@ juicefs umount ~/jfs ## 更进一步 -前面介绍的内容通常只适用于快速在本地体验和了解，帮助你对 JucieFS 的工作方式建立基本的认识。我们可以在前面内容的基础上更进一步，仍然使用 SQLite 存储元数据，把本地存储换成「对象存储」，做一个更有实用价值的方案。 +前面介绍的内容通常只适用于快速在本地体验和了解，帮助你对 JuiceFS 的工作方式建立基本的认识。我们可以在前面内容的基础上更进一步，仍然使用 SQLite 存储元数据，把本地存储换成「对象存储」，做一个更有实用价值的方案。 ### 对象存储 diff --git a/docs/zh_cn/getting-started/for_distributed.md b/docs/zh_cn/getting-started/for_distributed.md index c8a5dd8dd162..723694ad4d52 100644 --- a/docs/zh_cn/getting-started/for_distributed.md +++ b/docs/zh_cn/getting-started/for_distributed.md @@ -47,7 +47,7 @@ JuiceFS 目前支持的基于网络的数据库有： ### 2. 准备对象存储 -以下是以阿里云 OSS 为例的伪样本，你可以改用其他对象存储，详情参考 [JuiceFS 支持的存储](../guide/how_to_set_up_object_storage.md#支持的存储服务)。 +以下是以阿里云 OSS 为例的伪样本，你可以改用其他对象存储，详情参考 [JuiceFS 支持的存储](../guide/how_to_set_up_object_storage.md#supported-object-storage)。 - **Bucket Endpoint**：`https://myjfs.oss-cn-shanghai.aliyuncs.com` - **Access Key ID**：`ABCDEFGHIJKLMNopqXYZ` diff --git a/docs/zh_cn/getting-started/installation.md b/docs/zh_cn/getting-started/installation.md index eccc34581ec7..02eaf8fb304e 100644 --- a/docs/zh_cn/getting-started/installation.md +++ b/docs/zh_cn/getting-started/installation.md @@ -100,7 +100,7 @@ JuiceFS 的 Windows 客户端也是一个独立的二进制程序，下载解压 ### macOS 系统 -由于 macOS 默认不支持 FUSE 接口，需要先安装 [macFUSE](https://osxfuse.github.io/) 实现对 FUSE 的支持。 +由于 macOS 默认不支持 FUSE 接口，需要先安装 [macFUSE](https://osxfuse.github.io) 实现对 FUSE 的支持。 :::tip 提示 [macFUSE](https://github.com/osxfuse/osxfuse) 是一个开源的文件系统增强工具，它让 macOS 可以挂载第三方的文件系统，使得 JuiceFS 客户端可以将文件系统挂载到 macOS 系统中使用。 @@ -108,7 +108,7 @@ JuiceFS 的 Windows 客户端也是一个独立的二进制程序，下载解压 #### Homebrew 安装 -如果你的系统安装了 [Homebrew](https://brew.sh/) 包管理器，可以执行以下命令安装 JuiceFS 客户端： +如果你的系统安装了 [Homebrew](https://brew.sh) 包管理器，可以执行以下命令安装 JuiceFS 客户端： ```shell brew tap juicedata/homebrew-tap @@ -204,7 +204,7 @@ CMD [ "juicefs" ] 在 Windows 系统中编译 JuiceFS 客户端，需要安装 [Go](https://golang.org) 1.18+ 和 GCC 5.4+。 -由于 GCC 没有原生 Windows 客户端，因此需要使用第三方提供的版本，可以使用 [MinGW-w64](https://sourceforge.net/projects/mingw-w64/) 或 [Cygwin](https://www.cygwin.com/)，这里以 MinGW-w64 为例介绍。 +由于 GCC 没有原生 Windows 客户端，因此需要使用第三方提供的版本，可以使用 [MinGW-w64](https://sourceforge.net/projects/mingw-w64) 或 [Cygwin](https://www.cygwin.com)，这里以 MinGW-w64 为例介绍。 下载 MinGW-w64 并将其内的 `bin` 目录添加到系统环境变量。 diff --git a/docs/zh_cn/guide/cache_management.md b/docs/zh_cn/guide/cache_management.md index 97f448c6de9c..9290e93fea04 100644 --- a/docs/zh_cn/guide/cache_management.md +++ b/docs/zh_cn/guide/cache_management.md @@ -49,7 +49,7 @@ JuiceFS 默认会在内核中缓存属性、文件项和目录项，缓存时长 JuiceFS 客户端在 `open()` 操作即打开一个文件时，其文件属性（attribute）会被自动缓存在客户端内存中。如果在挂载文件系统时设置了 [`--open-cache`](../reference/command_reference.md#mount) 选项且值大于 0，只要缓存尚未超时失效，随后执行的 `getattr()` 和 `open()` 操作会从内存缓存中立即返回结果。 -执行 `read()` 操作即读取一个文件时，文件的 chunk 和 slice 信息会被自动缓存在客户端内存。在缓存有效期内，再次读取 chunk 会从内存缓存中立即返回 slice 信息（查阅[「JuiceFS 如何存储文件」](../introduction/architecture.md#如何存储文件)以了解 chunk 和 slice 是什么）。 +执行 `read()` 操作即读取一个文件时，文件的 chunk 和 slice 信息会被自动缓存在客户端内存。在缓存有效期内，再次读取 chunk 会从内存缓存中立即返回 slice 信息（查阅[「JuiceFS 如何存储文件」](../introduction/architecture.md#how-juicefs-store-files)以了解 chunk 和 slice 是什么）。 为保强一致性，`--open-cache` 默认关闭，每次打开文件都需直接访问元数据引擎。但如果文件很少发生修改，或者只读场景下（例如 AI 模型训练），则推荐根据情况设置 `--open-cache`，进一步提高读性能。 diff --git a/docs/zh_cn/guide/how_to_set_up_metadata_engine.md b/docs/zh_cn/guide/how_to_set_up_metadata_engine.md index 08bfc73694e9..8db3e0adeb9a 100644 --- a/docs/zh_cn/guide/how_to_set_up_metadata_engine.md +++ b/docs/zh_cn/guide/how_to_set_up_metadata_engine.md @@ -92,6 +92,7 @@ juicefs format \ ``` :::note 说明 + 1. 当 Redis 的用户名或者密码中包含特殊字符时需要将特殊字符通过 [URL encode](https://www.w3schools.com/tags/ref_urlencode.ASP) 的方式替换为 `%xx` 的格式，例如 `@` 替换为 `%40`，或者使用环境变量的方式传递密码。 2. 使用环境变量传递数据库密码也可以采用标准的 URL 格式，如：`"redis://:@192.168.1.6:6379/1"` 保留了用户名和密码之间的 `:` 以及 `@` 分隔符。 ::: @@ -117,7 +118,7 @@ juicefs mount -d "redis://192.168.1.6:6379/1" /mnt/jfs ## KeyDB -[KeyDB](https://keydb.dev/) 是 Redis 的开源分支，在开发上保持与 Redis 主线对齐。KeyDB 在 Redis 的基础上实现了多线程支持、更好的内存利用率和更大的吞吐量，另外还支持 [Active Replication](https://github.com/JohnSully/KeyDB/wiki/Active-Replication)，即 Active Active（双活）功能。 +[KeyDB](https://keydb.dev) 是 Redis 的开源分支，在开发上保持与 Redis 主线对齐。KeyDB 在 Redis 的基础上实现了多线程支持、更好的内存利用率和更大的吞吐量，另外还支持 [Active Replication](https://github.com/JohnSully/KeyDB/wiki/Active-Replication)，即 Active Active（双活）功能。 :::note 注意 KeyDB 的数据复制是异步的，使用 Active Active（双活）功能可能导致数据一致性问题，请务必充分验证、谨慎使用！ @@ -127,9 +128,9 @@ KeyDB 的数据复制是异步的，使用 Active Active（双活）功能可能 ## PostgreSQL -[PostgreSQL](https://www.postgresql.org/) 是功能强大的开源关系型数据库，有完善的生态和丰富的应用场景，也可以用来作为 JuiceFS 的元数据引擎。 +[PostgreSQL](https://www.postgresql.org) 是功能强大的开源关系型数据库，有完善的生态和丰富的应用场景，也可以用来作为 JuiceFS 的元数据引擎。 -许多云计算平台都提供托管的 PostgreSQL 数据库服务，也可以按照[使用向导](https://www.postgresqltutorial.com/postgresql-getting-started/)自己部署一个。 +许多云计算平台都提供托管的 PostgreSQL 数据库服务，也可以按照[使用向导](https://www.postgresqltutorial.com/postgresql-getting-started)自己部署一个。 其他跟 PostgreSQL 协议兼容的数据库（比如 CockroachDB 等) 也可以这样使用。 @@ -178,9 +179,10 @@ juicefs format \ ``` :::note 说明 -1. juicefs 默认使用的 public [schema](https://www.postgresql.org/docs/current/ddl-schemas.html) ，如果要使用非 `public schema`，需要在连接字符串中指定 `search_path` 参数，例如 `postgres://user:mypassword@192.168.1.6:5432/juicefs?search_path=pguser1` + +1. JuiceFS 默认使用的 public [schema](https://www.postgresql.org/docs/current/ddl-schemas.html) ，如果要使用非 `public schema`，需要在连接字符串中指定 `search_path` 参数，例如 `postgres://user:mypassword@192.168.1.6:5432/juicefs?search_path=pguser1` 2. 如果 `public schema` 并非是 PostgreSQL 服务端配置的 `search_path` 中第一个命中的，则必须在连接字符串中明确设置 `search_path` 参数 -3. `search_path` 连接参数原生可以设置为多个 schema，但是目前 juicefs 仅支持设置一个。`postgres://user:mypassword@192.168.1.6:5432/juicefs?search_path=pguser1,public` 将被认为不合法 +3. `search_path` 连接参数原生可以设置为多个 schema，但是目前 JuiceFS 仅支持设置一个。`postgres://user:mypassword@192.168.1.6:5432/juicefs?search_path=pguser1,public` 将被认为不合法 ::: ### 挂载文件系统 @@ -212,7 +214,7 @@ juicefs format \ ## MySQL -[MySQL](https://www.mysql.com/) 是受欢迎的开源关系型数据库之一，常被作为 Web 应用程序的首选数据库。 +[MySQL](https://www.mysql.com) 是受欢迎的开源关系型数据库之一，常被作为 Web 应用程序的首选数据库。 ### 创建文件系统 @@ -545,8 +547,8 @@ juicefs format \ #### 使用 OpenSSL 生成 CA 证书 ```shell -$ openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout private.key -out cert.crt -$ cat cert.crt private.key > fdb.pem +openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout private.key -out cert.crt +cat cert.crt private.key > fdb.pem ``` #### 配置 TLS diff --git a/docs/zh_cn/guide/how_to_set_up_object_storage.md b/docs/zh_cn/guide/how_to_set_up_object_storage.md index 27e3ec574aa0..5e49c50dcbe4 100644 --- a/docs/zh_cn/guide/how_to_set_up_object_storage.md +++ b/docs/zh_cn/guide/how_to_set_up_object_storage.md @@ -116,7 +116,7 @@ juicefs format \ myjfs ``` -## 支持的存储服务 +## 支持的存储服务 {#supported-object-storage} 如果你希望使用的存储类型不在列表中，欢迎提交需求 [issue](https://github.com/juicedata/juicefs/issues)。 @@ -137,7 +137,7 @@ juicefs format \ | [阿里云 OSS](#阿里云-oss) | `oss` | | [腾讯云 COS](#腾讯云-cos) | `cos` | | [华为云 OBS](#华为云-obs) | `obs` | -| [百度云 BOS](#百度云-bos) | `bos` | +| [百度云 BOS](#百度-bos) | `bos` | | [火山引擎 TOS](#火山引擎-tos) | `tos` | | [金山云 KS3](#金山云-ks3) | `ks3` | | [网易云 NOS](#网易云-nos) | `nos` | @@ -414,7 +414,7 @@ juicefs format \ ``` :::caution 特别提示 -因为 Storj DCS 的 [ListObjects](https://github.com/storj/gateway-st/blob/main/docs/s3-compatibility.md#listobjects) API 并非完全 S3 兼容（返回结果没有实现排序功能），所以 juicefs 的部分功能无法使用，比如 `juicefs gc`，`juicefs fsck`，`juicefs sync`，`juicefs destroy`。另外，使用 `juicefs mount` 时需要关闭[元数据自动备份](../administration/metadata_dump_load.md#自动备份)功能，即加上 `--backup-meta 0`。 +因为 Storj DCS 的 [ListObjects](https://github.com/storj/gateway-st/blob/main/docs/s3-compatibility.md#listobjects) API 并非完全 S3 兼容（返回结果没有实现排序功能），所以 JuiceFS 的部分功能无法使用，比如 `juicefs gc`，`juicefs fsck`，`juicefs sync`，`juicefs destroy`。另外，使用 `juicefs mount` 时需要关闭[元数据自动备份](../administration/metadata_dump_load.md#自动备份)功能，即加上 `--backup-meta 0`。 ::: ## Vultr 对象存储 @@ -431,11 +431,11 @@ juicefs format \ myjfs ``` -访问对象存储的 API 密钥可以在 [管理控制台](https://my.vultr.com/objectstorage/) 中找到。 +访问对象存储的 API 密钥可以在 [管理控制台](https://my.vultr.com/objectstorage) 中找到。 ## Cloudflare R2 {#r2} -R2 是 Cloudflare 的对象存储服务，提供 S3 兼容的 API，因此用法与 Amazon S3 基本一致。请参照[文档](https://developers.cloudflare.com/r2/data-access/s3-api/tokens/)了解如何创建 Access Key 和 Secret Key。 +R2 是 Cloudflare 的对象存储服务，提供 S3 兼容的 API，因此用法与 Amazon S3 基本一致。请参照[文档](https://developers.cloudflare.com/r2/data-access/s3-api/tokens)了解如何创建 Access Key 和 Secret Key。 ```shell juicefs format \ @@ -467,7 +467,7 @@ juicefs format \ 使用阿里云 OSS 作为 JuiceFS 数据存储，请先参照 [这篇文档](https://help.aliyun.com/document_detail/38738.html) 了解如何创建 Access Key 和 Secret Key。如果你已经创建了 [RAM 角色](https://help.aliyun.com/document_detail/93689.html) 并指派给了云服务器实例，则在创建文件系统时可以忽略 `--access-key` 和 `--secret-key` 选项。 -阿里云也支持使用 [Security Token Service (STS)](https://help.aliyun.com/document_detail/100624.html) 作为 OSS 的临时访问身份验证。如果你要使用 STS，请设置 `ALICLOUD_ACCESS_KEY_ID`、`ALICLOUD_ACCESS_KEY_SECRET` 和 `SECURITY_TOKEN ` 环境变量，不要设置 `--access-key` and `--secret-key` 选项。例如： +阿里云也支持使用 [Security Token Service (STS)](https://help.aliyun.com/document_detail/100624.html) 作为 OSS 的临时访问身份验证。如果你要使用 STS，请设置 `ALICLOUD_ACCESS_KEY_ID`、`ALICLOUD_ACCESS_KEY_SECRET` 和 `SECURITY_TOKEN` 环境变量，不要设置 `--access-key` and `--secret-key` 选项。例如： ```bash # Use Security Token Service (STS) @@ -755,7 +755,7 @@ sudo yum install librados2-devel make juicefs.ceph ``` -[存储池](https://docs.ceph.com/zh_CN/latest/rados/operations/pools) 是用于存储对象的逻辑分区，您可能需要首先创建一个存储池。 `--access-key` 选项的值是 Ceph 集群名称，默认集群名称是 `ceph`。` --secret-key` 选项的值是 [Ceph 客户端用户名](https://docs.ceph.com/en/latest/rados/operations/user-management)，默认用户名是 `client.admin`。 +[存储池](https://docs.ceph.com/zh_CN/latest/rados/operations/pools) 是用于存储对象的逻辑分区，您可能需要首先创建一个存储池。 `--access-key` 选项的值是 Ceph 集群名称，默认集群名称是 `ceph`。`--secret-key` 选项的值是 [Ceph 客户端用户名](https://docs.ceph.com/en/latest/rados/operations/user-management)，默认用户名是 `client.admin`。 为了连接到 Ceph Monitor，`librados` 将通过搜索默认位置读取 Ceph 的配置文件，并使用找到的第一个。这些位置是： @@ -829,8 +829,8 @@ $ sudo docker run -d --name minio \ 容器创建成功以后使用以下地址访问： -- **MinIO API**：[http://127.0.0.1:9000](http://127.0.0.1:9000/)，这也是 JuiceFS 访问对象存储时所使用的的 API -- **MinIO 管理界面**：[http://127.0.0.1:9900](http://127.0.0.1:9900/)，用于管理对象存储本身，与 JuiceFS 无关 +- **MinIO API**：[http://127.0.0.1:9000](http://127.0.0.1:9000)，这也是 JuiceFS 访问对象存储时所使用的的 API +- **MinIO 管理界面**：[http://127.0.0.1:9900](http://127.0.0.1:9900)，用于管理对象存储本身，与 JuiceFS 无关 对象存储初始的 Access Key 和 Secret Key 均为 `minioadmin`。 @@ -847,6 +847,7 @@ juicefs format \ ``` :::note + 1. 当前，JuiceFS 仅支持路径风格的 MinIO URI 地址，例如：`http://127.0.0.1:9000/myjfs` 1. `MINIO_REGION` 环境变量可以用于设置 MinIO 的 region，如果不设置，默认为 `us-east-1` 1. 面对多节点 MinIO 集群，考虑在 Endpoint 中使用 DNS 域名，解析到各个 MinIO 节点，作为简易负载均衡，比如 `http://minio.example.com:9000/myjfs` @@ -1118,7 +1119,7 @@ juicefs format redis://localhost:6379/1 myjfs SFTP 全称 Secure File Transfer Protocol 即安全文件传输协议，它并不是文件存储。准确来说，JuiceFS 是通过 SFTP/SSH 这种文件传输协议对远程主机上的磁盘进行连接和读写，从而让任何启用了 SSH 服务的操作系统都可以作为 JuiceFS 的数据存储来使用。 -例如，以下命令使用 sftp 协议连接远程服务器 `192.168.1.11` ，在用户 `tom` 的 `$HOME` 目录下创建 `myjfs/` 文件夹作为文件系统的数据存储。 +例如，以下命令使用 SFTP 协议连接远程服务器 `192.168.1.11` ，在用户 `tom` 的 `$HOME` 目录下创建 `myjfs/` 文件夹作为文件系统的数据存储。 ```shell juicefs format \ diff --git a/docs/zh_cn/guide/mount_at_boot.md b/docs/zh_cn/guide/mount_at_boot.md index 141a6301c0c2..922364130831 100644 --- a/docs/zh_cn/guide/mount_at_boot.md +++ b/docs/zh_cn/guide/mount_at_boot.md @@ -24,13 +24,14 @@ redis://localhost:6379/1 /jfs juicefs _netdev,max-uploads=50,writeb ```bash sudo chkconfig --add netfs ``` + ::: ## macOS 在 `~/Library/LaunchAgents` 下创建名为 `io.juicefs..plist` 的文件。替换 `` 为 JuiceFS 文件系统的名字。添加如下内容到文件中（再次替换 `NAME`、`PATH-TO-JUICEFS`、`META-URL`、`MOUNTPOINT` 和 `MOUNT-OPTIONS` 为适当的值）： -```xml title="io.juicefs..plist" +```xml @@ -60,19 +61,20 @@ sudo chkconfig --add netfs --cache-size 204800 ``` + ::: 使用以下命令加载上一步创建的文件，并测试加载是否成功。**请确保元数据引擎已正常运行。** ```bash -$ launchctl load ~/Library/LaunchAgents/io.juicefs..plist -$ launchctl start ~/Library/LaunchAgents/io.juicefs. -$ ls +launchctl load ~/Library/LaunchAgents/io.juicefs..plist +launchctl start ~/Library/LaunchAgents/io.juicefs. +ls ``` 如果挂载失败，可以将以下配置添加到 `io.juicefs..plist` 文件来调试： -```xml title="io.juicefs..plist" +```xml StandardOutPath /tmp/juicefs.out StandardErrorPath @@ -82,10 +84,10 @@ $ ls 使用以下命令重新加载最新的配置并检查输出： ```bash -$ launchctl unload ~/Library/LaunchAgents/io.juicefs..plist -$ launchctl load ~/Library/LaunchAgents/io.juicefs..plist -$ cat /tmp/juicefs.out -$ cat /tmp/juicefs.err +launchctl unload ~/Library/LaunchAgents/io.juicefs..plist +launchctl load ~/Library/LaunchAgents/io.juicefs..plist +cat /tmp/juicefs.out +cat /tmp/juicefs.err ``` 如果你是使用 Homebrew 安装的 Redis 服务，你可以使用以下命令让其在机器启动时启动它： @@ -96,7 +98,7 @@ brew services start redis 然后添加以下配置到 `io.juicefs..plist` 文件确保 Redis 服务已经启动： -```xml title="io.juicefs..plist" +```xml KeepAlive OtherJobEnabled diff --git a/docs/zh_cn/guide/sync.md b/docs/zh_cn/guide/sync.md index 118e659f435e..e691297725d1 100644 --- a/docs/zh_cn/guide/sync.md +++ b/docs/zh_cn/guide/sync.md @@ -26,12 +26,12 @@ juicefs sync [command options] SRC DST 地址格式均为 `[NAME://][ACCESS_KEY:SECRET_KEY[:TOKEN]@]BUCKET[.ENDPOINT][/PREFIX]` :::tip 提示 -minio 目前仅支持路径风格，地址格式为 `minio://[ACCESS_KEY:SECRET_KEY[:TOKEN]@]ENDPOINT/BUCKET[/PREFIX]` +MinIO 目前仅支持路径风格，地址格式为 `minio://[ACCESS_KEY:SECRET_KEY[:TOKEN]@]ENDPOINT/BUCKET[/PREFIX]` ::: 其中： -- `NAME` 是存储类型，比如 `s3`、`oss`。详情查看[所有支持的存储服务](../guide/how_to_set_up_object_storage.md#支持的存储服务) +- `NAME` 是存储类型，比如 `s3`、`oss`。详情查看[所有支持的存储服务](../guide/how_to_set_up_object_storage.md#supported-object-storage) - `ACCESS_KEY` 和 `SECRET_KEY` 是对象存储的 API 访问密钥，如果包含了特殊字符，则需要手动转义并替换，比如 `/` 需要被替换为其转义符 `%2F` - `TOKEN` 用来访问对象存储的 token，部分对象存储支持使用临时的 token 以获得有限时间的权限 - `BUCKET[.ENDPOINT]` 是对象存储的访问地址 @@ -57,19 +57,19 @@ juicefs sync ./te ~/mnt/ab 目标路径中同步来的 `test` 目录名会变成 `abst`，`text` 会变成 `abxt`。 -### 资源清单 +### 资源清单 {#required-storages} 这里假设有以下存储资源： -1. **对象存储 A** +1. **对象存储 A** - Bucket 名：aaa - Endpoint：`https://aaa.s3.us-west-1.amazonaws.com` -2. **对象存储 B** +2. **对象存储 B** - Bucket 名：bbb - Endpoint：`https://bbb.oss-cn-hangzhou.aliyuncs.com` -3. **JuiceFS 文件系统** +3. **JuiceFS 文件系统** - 元数据存储：`redis://10.10.0.8:6379/1` - 对象存储：`https://ccc-125000.cos.ap-beijing.myqcloud.com` @@ -80,7 +80,7 @@ juicefs sync ./te ~/mnt/ab ### 对象存储与 JuiceFS 之间同步 -将 [对象存储 A](#bucketA) 的 `movies` 目录同步到 [JuiceFS 文件系统](#bucketC)： +将 [对象存储 A](#required-storages) 的 `movies` 目录同步到 [JuiceFS 文件系统](#required-storages)： ```shell # 挂载 JuiceFS @@ -89,7 +89,7 @@ sudo juicefs mount -d redis://10.10.0.8:6379/1 /mnt/jfs juicefs sync s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com/movies/ /mnt/jfs/movies/ ``` -将 [JuiceFS 文件系统](#bucketC) 的 `images` 目录同步到 [对象存储 A](#bucketA)： +将 [JuiceFS 文件系统](#required-storages) 的 `images` 目录同步到 [对象存储 A](#required-storages)： ```shell # 挂载 JuiceFS @@ -100,7 +100,7 @@ juicefs sync /mnt/jfs/images/ s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.co ### 对象存储与对象存储之间同步 -将 [对象存储 A](#bucketA) 的全部数据同步到 [对象存储 B](#bucketB)： +将 [对象存储 A](#required-storages) 的全部数据同步到 [对象存储 B](#required-storages)： ```shell juicefs sync s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com oss://ABCDEFG:HIJKLMN@bbb.oss-cn-hangzhou.aliyuncs.com @@ -112,7 +112,7 @@ juicefs sync s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com oss://ABCDEFG:H sync 命令默认以增量同步方式工作，即先对比源路径与目标路径之间的差异，然后仅同步有差异的部分。可以使用 `--update` 或 `-u` 选项更新文件的 `mtime`。 -如需全量同步，即不论目标路径上是否存在相同的文件都重新同步，可以使用 `--force-update` 或 `-f`。例如，将 [对象存储 A](#bucketA) 的 `movies` 目录全量同步到 [JuiceFS 文件系统](#bucketC)： +如需全量同步，即不论目标路径上是否存在相同的文件都重新同步，可以使用 `--force-update` 或 `-f`。例如，将 [对象存储 A](#required-storages) 的 `movies` 目录全量同步到 [JuiceFS 文件系统](#required-storages)： ```shell # 挂载 JuiceFS @@ -135,7 +135,7 @@ juicefs sync --force-update s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com/ #### 排除文件／目录 -使用 `--exclude` 选项设置要排除的目录或文件。例如，将 [JuiceFS 文件系统](#bucketC) 完整同步到[对象存储 A](#bucketA)，但不同步隐藏的文件和文件夹： +使用 `--exclude` 选项设置要排除的目录或文件。例如，将 [JuiceFS 文件系统](#required-storages) 完整同步到[对象存储 A](#required-storages)，但不同步隐藏的文件和文件夹： :::note 备注 在 Linux 系统中所有以 `.` 开始的名称均被视为隐藏文件 @@ -176,7 +176,7 @@ JuiceFS `sync` 默认启用 10 个线程执行同步任务，可以根据需要 默认情况下，sync 命令只同步文件对象以及包含文件对象的目录，空目录不会被同步。如需同步空目录，可以使用 `--dirs` 选项。 -另外，在 local、sftp、hdfs 等文件系统之间同步时，如需保持文件权限，可以使用 `--perms` 选项。 +另外，在 local、SFTP、HDFS 等文件系统之间同步时，如需保持文件权限，可以使用 `--perms` 选项。 ### 拷贝符号链接 @@ -205,7 +205,7 @@ Manager 作为主控执行 `sync` 命令，通过 `--worker` 参数定义多个 Manager 会将 JuiceFS 客户端程序分发到 Worker 主机，为了避免客户端的兼容性问题，请确保 Manager 和 Worker 使用相同类型和架构的操作系统。 ::: -例如，将 [对象存储 A](#bucketA) 同步到 [对象存储 B](#bucketB)，采用多主机并行同步： +例如，将 [对象存储 A](#required-storages) 同步到 [对象存储 B](#required-storages)，采用多主机并行同步： ```shell juicefs sync --worker bob@192.168.1.20,tom@192.168.8.10 s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com oss://ABCDEFG:HIJKLMN@bbb.oss-cn-hangzhou.aliyuncs.com @@ -221,7 +221,7 @@ juicefs sync --worker bob@192.168.1.20,tom@192.168.8.10 s3://ABCDEFG:HIJKLMN@aaa ### 数据异地容灾备份 -异地容灾备份针对的是文件本身，因此应将 JuiceFS 中存储的文件同步到其他的对象存储，例如，将 [JuiceFS 文件系统](#bucketC) 中的文件同步到 [对象存储 A](#bucketA)： +异地容灾备份针对的是文件本身，因此应将 JuiceFS 中存储的文件同步到其他的对象存储，例如，将 [JuiceFS 文件系统](#required-storages) 中的文件同步到 [对象存储 A](#required-storages)： ```shell # 挂载 JuiceFS @@ -230,19 +230,19 @@ sudo juicefs mount -d redis://10.10.0.8:6379/1 /mnt/jfs sudo juicefs sync /mnt/jfs/ s3://ABCDEFG:HIJKLMN@aaa.s3.us-west-1.amazonaws.com/ ``` -同步以后，在 [对象存储 A](#bucketA) 中可以直接看到所有的文件。 +同步以后，在 [对象存储 A](#required-storages) 中可以直接看到所有的文件。 ### 建立 JuiceFS 数据副本 与面向文件本身的容灾备份不同，建立 JuiceFS 数据副本的目的是为 JuiceFS 的数据存储建立一个内容和结构完全相同的镜像，当使用中的对象存储发生了故障，可以通过修改配置切换到数据副本继续工作。需要注意这里仅复制了 JuiceFS 文件系统的数据，并没有复制元数据，元数据引擎的数据备份依然需要。 -这需要直接操作 JucieFS 底层的对象存储，将它与目标对象存储之间进行同步。例如，要把 [对象存储 B](#bucketB) 作为 [JuiceFS 文件系统](#bucketC) 的数据副本： +这需要直接操作 JuiceFS 底层的对象存储，将它与目标对象存储之间进行同步。例如，要把 [对象存储 B](#required-storages) 作为 [JuiceFS 文件系统](#required-storages) 的数据副本： ```shell juicefs sync cos://ABCDEFG:HIJKLMN@ccc-125000.cos.ap-beijing.myqcloud.com oss://ABCDEFG:HIJKLMN@bbb.oss-cn-hangzhou.aliyuncs.com ``` -同步以后，在 [对象存储 B](#bucketB) 中看到的与 [JuiceFS 使用的对象存储](#bucketC) 中的内容和结构完全一样。 +同步以后，在 [对象存储 B](#required-storages) 中看到的与 [JuiceFS 使用的对象存储](#required-storages) 中的内容和结构完全一样。 :::tip 提示 请阅读《[技术架构](../introduction/architecture.md)》了解 JuiceFS 如何存储文件。 diff --git a/docs/zh_cn/introduction/README.md b/docs/zh_cn/introduction/README.md index eedb29a915fb..422a3695c76a 100644 --- a/docs/zh_cn/introduction/README.md +++ b/docs/zh_cn/introduction/README.md @@ -7,8 +7,6 @@ pagination_next: introduction/architecture import BilibiliEmbedRenderer from 'react-bilibili-embed-renderer'; -# 简介 - **JuiceFS** 是一款面向云原生设计的高性能分布式文件系统，在 Apache 2.0 开源协议下发布。提供完备的 [POSIX](https://en.wikipedia.org/wiki/POSIX) 兼容性，可将几乎所有对象存储接入本地作为海量本地磁盘使用，亦可同时在跨平台、跨地区的不同主机上挂载读写。 JuiceFS 采用「数据」与「元数据」分离存储的架构，从而实现文件系统的分布式设计。文件数据本身会被切分保存在[对象存储](../guide/how_to_set_up_object_storage.md#supported-object-storage)（例如 Amazon S3），而元数据则可以保存在 Redis、MySQL、TiKV、SQLite 等多种[数据库](../guide/how_to_set_up_metadata_engine.md)中，你可以根据场景与性能要求进行选择。 diff --git a/docs/zh_cn/introduction/comparison/juicefs_vs_alluxio.md b/docs/zh_cn/introduction/comparison/juicefs_vs_alluxio.md index 8af7f3fdc0a3..7fc6c2a4e003 100644 --- a/docs/zh_cn/introduction/comparison/juicefs_vs_alluxio.md +++ b/docs/zh_cn/introduction/comparison/juicefs_vs_alluxio.md @@ -27,49 +27,49 @@ slug: /comparison/juicefs_vs_alluxio | 开源协议 | Apache License 2.0 | Apache License 2.0 | | 开源时间 | 2014 | 2021.1 | -### 存储格式 +## 存储格式 JuiceFS 中一个文件的[存储格式](../architecture.md#how-juicefs-store-files)包含三个层级：chunk、slice 和 block。一个文件将被分割成多个块，并被压缩和加密（可选）存储到对象存储中。 Alluxio 将文件作为「对象」存储到 UFS。文件不会像 JuiceFS 那样被拆分成 block。 -### 缓存粒度 +## 缓存粒度 JuiceFS 的[默认块大小](../architecture.md#how-juicefs-store-files)为 4MiB，相比 Alluxio 的 64MiB，粒度更小。较小的块大小更适合随机读取（例如 Parquet 和 ORC）工作负载，即缓存管理将更有效率。 -### Hadoop 兼容 +## Hadoop 兼容 JuiceFS [完整兼容 HDFS](../../deployment/hadoop_java_sdk.md)。不仅兼容 Hadoop 2.x 和 Hadoop 3.x，还兼容 Hadoop 生态系统中的各种组件。 -### Kubernetes CSI Driver +## Kubernetes CSI Driver JuiceFS 提供了 [Kubernetes CSI Driver](https://github.com/juicedata/juicefs-csi-driver) 来帮助在 Kubernetes 中便捷使用 JuiceFS。Alluxio 也提供了 [Kubernetes CSI Driver](https://github.com/Alluxio/alluxio-csi)，但是这个项目维护得不够活跃，也没有得到 Alluxio 的官方支持。 -### 完全兼容 POSIX +## 完全兼容 POSIX JuiceFS [完全兼容 POSIX](../../reference/posix_compatibility.md)。来自[京东](https://www.slideshare.net/Alluxio/using-alluxio-posix-fuse-api-in-jdcom)的一个 pjdfstest 显示 Alluxio 没有通过 POSIX 兼容性测试，例如 Alluxio 不支持符号链接、truncate、fallocate、append、xattr、mkfifo、mknod 和 utimes。除了 pjdfstest 涵盖的东西外，JuiceFS 还提供了关闭再打开（close-to-open）一致性、原子元数据操作、mmap、fallocate 打洞、xattr、BSD 锁（flock）和 POSIX 记录锁（fcntl）。 -### 原子元数据操作 +## 原子元数据操作 Alluxio 中的元数据操作有两个步骤：第一步是修改 Alluxio master 的状态，第二步是向 UFS 发送请求。可以看到，元数据操作不是原子的，当操作正在执行或发生任何故障时，其状态是不可预测的。Alluxio 依赖 UFS 来实现元数据操作，比如重命名文件操作会变成复制和删除操作。 感谢 [Redis 事务](https://redis.io/topics/transactions)，**JuiceFS 的大部分元数据操作都是原子的**，例如重命名文件、删除文件、重命名目录。您不必担心一致性和性能。 -### 一致性 +## 一致性 Alluxio 根据需要从 UFS 加载元数据，并且它在启动时没有关于 UFS 的信息。默认情况下，Alluxio 期望对 UFS 的所有修改都通过 Alluxio 进行。如果直接对 UFS 进行更改，则需要手动或定期在 Alluxio 和 UFS 之间同步元数据。正如[「原子元数据操作」](#原子元数据操作)部分所说，两步元数据操作可能会导致不一致。 JuiceFS 提供元数据和数据的强一致性。**JuiceFS 的元数据服务是唯一的真实来源（single source of truth），不是 UFS 的镜像。** 元数据服务不依赖对象存储来获取元数据。对象存储只是被视为无限制的块存储。JuiceFS 和对象存储之间没有任何不一致之处。 -### 数据压缩 +## 数据压缩 JuiceFS 支持使用 [LZ4](https://lz4.github.io/lz4) 或 [Zstandard](https://facebook.github.io/zstd) 来压缩您的所有数据。Alluxio 没有这个功能。 -### 数据加密 +## 数据加密 JuiceFS 支持传输中加密（encryption in transit）以及静态加密（encryption at rest）。Alluxio 社区版没有这个功能，但是[企业版](https://docs.alluxio.io/ee/user/stable/en/operation/Security.html#end-to-end-data-encryption)有。 -### 零运维 +## 零运维 Alluxio 的架构可以分为 3 个组件：master、worker 和客户端。一个典型的集群由一个主节点（master）、多个备用主节点（standby master）、一个作业主节点（job master）、多个备用作业主节点（standby job master）、多个 worker 和 job worker 组成。您需要自己运维这些节点。 diff --git a/docs/zh_cn/introduction/comparison/juicefs_vs_cephfs.md b/docs/zh_cn/introduction/comparison/juicefs_vs_cephfs.md index e73a748ab9fb..9bbc87e833ef 100644 --- a/docs/zh_cn/introduction/comparison/juicefs_vs_cephfs.md +++ b/docs/zh_cn/introduction/comparison/juicefs_vs_cephfs.md @@ -23,7 +23,7 @@ description: Ceph 是一套提供对象存储、块存储和文件存储的统 - 服务进程（MDS）：无状态且理论可水平扩展。目前已有成熟的主备机制，但多主部署依然有性能和稳定性隐患；生产环境通常采用一主多备或者多主静态隔离 - 持久化：独立的 RADOS 存储池，通常采用 SSD 或更高性能的硬件存储 - 数据：一个或多个 RADOS 存储池，支持通过 Layout 指定不同的配置，如分块大小（默认 4 MiB），冗余方式（多副本，EC）等 -- 客户端：支持内核客户端（kcephfs），用户态客户端（ceph-fuse）以及基于 libcephfs 实现的 C++、Python 等 SDK；近来社区也提供了 Windows 客户端（ceph-dokan）。同时生态中也有与 Samba 对接的 VFS object 和与 NFS-Ganesha 对接的 FSAL 模块可供考虑。 +- 客户端：支持内核客户端（`kcephfs`），用户态客户端（`ceph-fuse`）以及基于 libcephfs 实现的 C++、Python 等 SDK；近来社区也提供了 Windows 客户端（`ceph-dokan`）。同时生态中也有与 Samba 对接的 VFS object 和与 NFS-Ganesha 对接的 FSAL 模块可供考虑。 #### JuiceFS diff --git a/docs/zh_cn/introduction/comparison/juicefs_vs_s3ql.md b/docs/zh_cn/introduction/comparison/juicefs_vs_s3ql.md index cfd240e8835f..4ffc98c579e2 100644 --- a/docs/zh_cn/introduction/comparison/juicefs_vs_s3ql.md +++ b/docs/zh_cn/introduction/comparison/juicefs_vs_s3ql.md @@ -30,7 +30,7 @@ S3QL 已于 2022 年 11 月 9 日停止维护，详见 [S3QL 仓库](https://git | 元数据引擎 | SQLite | Redis、MySQL、SQLite、TiKV | | 存储引擎 | 对象存储、本地磁盘 | 对象存储、WebDAV、本地磁盘 | | 操作系统 | Unix-like | Linux、macOS、Windows | -| 压缩算法 | LZMA, bzip2, gzip | lz4, zstd | +| 压缩算法 | LZMA, bzip2, gzip | LZ4, zstd | | 加密算法 | AES-256 | AES-GCM, RSA | | POSIX 兼容 | ✓ | ✓ | | 硬链接 | ✓ | ✓ | @@ -62,7 +62,7 @@ S3QL 已于 2022 年 11 月 9 日停止维护，详见 [S3QL 仓库](https://git #### S3QL -S3QL 采用 Python 开发，在安装时需要依赖 python-devel 3.7 及以上版本。另外，还需要至少满足以下依赖：fuse3-devel、gcc、pyfuse3、sqlite-devel、cryptography、defusedxml、apsw、dugong。另外，需要特别注意 Python 的包依赖和位置问题。 +S3QL 采用 Python 开发，在安装时需要依赖 `python-devel` 3.7 及以上版本。另外，还需要至少满足以下依赖：`fuse3-devel`、`gcc`、`pyfuse3`、`sqlite-devel`、`cryptography`、`defusedxml`、`apsw`、`dugong`。另外，需要特别注意 Python 的包依赖和位置问题。 S3QL 会在系统中安装 12 个二进制程序，每个程序都提供一个独立的功能，如下图。 @@ -76,7 +76,7 @@ JuiceFS 客户端采用 Go 语言开发，直接下载预编译的二进制文 S3QL 和 JuiceFS 都使用数据库保存元数据，S3QL 仅支持 SQLite 数据库，JuiceFS 支持 Redis、TiKV、MySQL、MariaDB、PostgreSQL 和 SQLite 等数据库。 -这里使用本地创建的 Minio 对象存储，使用两款工具分别创建文件系统： +这里使用本地创建的 MinIO 对象存储，使用两款工具分别创建文件系统： #### S3QL @@ -119,4 +119,4 @@ JuiceFS 只在创建文件系统时设置对象存储 API 访问密钥，相关 **S3QL** 采用对象存储 + SQLite 的存储结构，数据分块存储既能提高文件的读写效率，也能降低文件修改时的资源开销。贴心的提供了快照、数据去重、数据保持等高级功能，加之默认的数据压缩和数据加密，让 S3QL 非常适合个人在云存储上用较低的成本、更安全的存储文件。 -**JuiceFS** 支持对象存储、HDFS、WebDAV、本地磁盘作为数据存储引擎，支持 Redis、TiKV、MySQL、MariaDB、PostgreSQL、SQLite 等流行的数据作为元数据存储引擎。除了通过 FUSE 提供标准的 POSIX 文件系统接口以外，JuiceFS 还提供 Java API，可以直接替代 HDFS 为 Hadoop 提供存储。同时还提供 [Kubernetes CSI Driver](https://github.com/juicedata/juicefs-csi-driver)，可以作为 Kubernetes 的存储层做数据持久化存储。JucieFS 是为企业级分布式数据存储场景设计的文件系统，广泛应用于大数据分析、机器学习、容器共享存储、数据共享及备份等多种场景。 +**JuiceFS** 支持对象存储、HDFS、WebDAV、本地磁盘作为数据存储引擎，支持 Redis、TiKV、MySQL、MariaDB、PostgreSQL、SQLite 等流行的数据作为元数据存储引擎。除了通过 FUSE 提供标准的 POSIX 文件系统接口以外，JuiceFS 还提供 Java API，可以直接替代 HDFS 为 Hadoop 提供存储。同时还提供 [Kubernetes CSI Driver](https://github.com/juicedata/juicefs-csi-driver)，可以作为 Kubernetes 的存储层做数据持久化存储。JuiceFS 是为企业级分布式数据存储场景设计的文件系统，广泛应用于大数据分析、机器学习、容器共享存储、数据共享及备份等多种场景。 diff --git a/docs/zh_cn/reference/command_reference.md b/docs/zh_cn/reference/command_reference.md index abd75891a849..515c803d645e 100644 --- a/docs/zh_cn/reference/command_reference.md +++ b/docs/zh_cn/reference/command_reference.md @@ -130,7 +130,7 @@ source /etc/bash_completion.d/juicefs ## 命令列表 -### juicefs format {#format} +### `juicefs format` {#format} #### 描述 @@ -157,13 +157,13 @@ juicefs format [command options] META-URL NAME 文件数配额 (默认：不限制) `--compress value`
-压缩算法 (lz4, zstd, none) (默认："none")，开启压缩将不可避免地对性能产生一定影响，请权衡。 +压缩算法 (`lz4`, `zstd`, `none`) (默认："none")，开启压缩将不可避免地对性能产生一定影响，请权衡。 `--shards value`
将数据块根据名字哈希存入 N 个桶中 (默认：0)，当 N 大于 0 时，`bucket` 需要写成 `%d` 的形式，例如 `--bucket "juicefs-%d"` `--storage value`
-对象存储类型 (例如 `s3`、`gcs`、`oss`、`cos`) (默认：`"file"`，请参考[文档](../guide/how_to_set_up_object_storage.md#支持的存储服务)查看所有支持的对象存储类型) +对象存储类型 (例如 `s3`、`gcs`、`oss`、`cos`) (默认：`"file"`，请参考[文档](../guide/how_to_set_up_object_storage.md#supported-object-storage)查看所有支持的对象存储类型) `--bucket value`
存储数据的桶路径 (默认：`"$HOME/.juicefs/local"` 或 `"/var/jfs"`) @@ -210,7 +210,7 @@ $ juicefs format sqlite3://myjfs.db myjfs --inode 1000000 --capacity 102400 $ juicefs format sqlite3://myjfs.db myjfs --trash-days 0 ``` -### juicefs mount {#mount} +### `juicefs mount` {#mount} #### 描述 @@ -224,8 +224,8 @@ $ juicefs format sqlite3://myjfs.db myjfs --trash-days 0 juicefs mount [command options] META-URL MOUNTPOINT ``` -- **META-URL**：用于元数据存储的数据库 URL，详情查看[「JuiceFS 支持的元数据引擎」](../guide/how_to_set_up_metadata_engine.md)。 -- **MOUNTPOINT**：文件系统挂载点，例如：`/mnt/jfs`、`Z:`。 +- `META-URL`：用于元数据存储的数据库 URL，详情查看[「JuiceFS 支持的元数据引擎」](../guide/how_to_set_up_metadata_engine.md)。 +- `MOUNTPOINT`：文件系统挂载点，例如：`/mnt/jfs`、`Z:`。 #### 选项 @@ -233,7 +233,7 @@ juicefs mount [command options] META-URL MOUNTPOINT 监控数据导出地址 (默认："127.0.0.1:9567") `--consul value`
-consul 注册中心地址 (默认："127.0.0.1:8500") +Consul 注册中心地址 (默认："127.0.0.1:8500") `--no-usage-report`
不发送使用量信息 (默认：false) @@ -352,7 +352,7 @@ $ juicefs mount redis://localhost /mnt/jfs -d --read-only $ juicefs mount redis://localhost /mnt/jfs --backup-meta 0 ``` -### juicefs umount +### `juicefs umount` #### 描述 @@ -372,10 +372,10 @@ juicefs umount [command options] MOUNTPOINT #### 示例 ```bash -$ juicefs umount /mnt/jfs +juicefs umount /mnt/jfs ``` -### juicefs gateway +### `juicefs gateway` #### 描述 @@ -474,7 +474,7 @@ juicefs gateway [command options] META-URL ADDRESS 保留对象上传时的 ETag (默认：false) `--storage value`
-对象存储类型 (例如 `s3`、`gcs`、`oss`、`cos`) (默认：`"file"`，请参考[文档](../guide/how_to_set_up_object_storage.md#支持的存储服务)查看所有支持的对象存储类型) +对象存储类型 (例如 `s3`、`gcs`、`oss`、`cos`) (默认：`"file"`，请参考[文档](../guide/how_to_set_up_object_storage.md#supported-object-storage)查看所有支持的对象存储类型) `--upload-delay value`
数据上传到对象存储的延迟时间，支持秒分时精度，对应格式分别为 ("s", "m", "h")，默认为 0 秒 @@ -492,17 +492,17 @@ juicefs gateway [command options] META-URL ADDRESS 新文件和新目录的 umask 的八进制格式 (默认值:“022”) `--consul value`
-consul 注册中心地址 (默认："127.0.0.1:8500") +Consul 注册中心地址 (默认："127.0.0.1:8500") #### 示例 ```bash -$ export MINIO_ROOT_USER=admin -$ export MINIO_ROOT_PASSWORD=12345678 -$ juicefs gateway redis://localhost localhost:9000 +export MINIO_ROOT_USER=admin +export MINIO_ROOT_PASSWORD=12345678 +juicefs gateway redis://localhost localhost:9000 ``` -### juicefs webdav +### JuiceFS WebDAV #### 描述 @@ -513,8 +513,9 @@ $ juicefs gateway redis://localhost localhost:9000 ``` juicefs webdav [command options] META-URL ADDRESS ``` + - **META-URL**：用于元数据存储的数据库 URL，详情查看「[JuiceFS 支持的元数据引擎](../guide/how_to_set_up_metadata_engine.md)」。 -- **ADDRESS**：webdav 服务监听的地址与端口，例如：`localhost:9007` +- **ADDRESS**：WebDAV 服务监听的地址与端口，例如：`localhost:9007` #### 选项 @@ -603,13 +604,13 @@ juicefs webdav [command options] META-URL ADDRESS 监控数据导出地址 (默认："127.0.0.1:9567") `--consul value`
-consul 注册中心地址 (默认："127.0.0.1:8500") +Consul 注册中心地址 (默认："127.0.0.1:8500") `--no-usage-report`
不发送使用量信息 (默认：false) `--storage value`
-对象存储类型 (例如 `s3`、`gcs`、`oss`、`cos`) (默认：`"file"`，请参考[文档](../guide/how_to_set_up_object_storage.md#支持的存储服务)查看所有支持的对象存储类型) +对象存储类型 (例如 `s3`、`gcs`、`oss`、`cos`) (默认：`"file"`，请参考[文档](../guide/how_to_set_up_object_storage.md#supported-object-storage)查看所有支持的对象存储类型) `--heartbeat value`
发送心跳的间隔 (秒);建议所有客户端使用相同的心跳值 (默认：12)。 @@ -617,10 +618,10 @@ consul 注册中心地址 (默认："127.0.0.1:8500") #### 示例 ```bash -$ juicefs webdav redis://localhost localhost:9007 +juicefs webdav redis://localhost localhost:9007 ``` -### juicefs sync +### `juicefs sync` #### 描述 @@ -637,10 +638,10 @@ juicefs sync [command options] SRC DST 源路径和目标路径的格式均为 `[NAME://][ACCESS_KEY:SECRET_KEY[:TOKEN]@]BUCKET[.ENDPOINT][/PREFIX]`，其中： -- `NAME`：JuiceFS 支持的数据存储类型（如 `s3`、`oss`），请参考[文档](../guide/how_to_set_up_object_storage.md#支持的存储服务)。 +- `NAME`：JuiceFS 支持的数据存储类型（如 `s3`、`oss`），请参考[文档](../guide/how_to_set_up_object_storage.md#supported-object-storage)。 - `ACCESS_KEY` 和 `SECRET_KEY`：访问数据存储所需的密钥信息，请参考[文档](../guide/how_to_set_up_object_storage.md#access-key-和-secret-key)。 - `TOKEN` 用来访问对象存储的 token，部分对象存储支持使用临时的 token 以获得有限时间的权限 -- `BUCKET[.ENDPOINT]`：数据存储服务的访问地址，不同存储类型格式可能不同，具体请参考[文档](../guide/how_to_set_up_object_storage.md#支持的存储服务)。 +- `BUCKET[.ENDPOINT]`：数据存储服务的访问地址，不同存储类型格式可能不同，具体请参考[文档](../guide/how_to_set_up_object_storage.md#supported-object-storage)。 - `[/PREFIX]`：可选，源路径和目标路径的前缀，可用于限定只同步某些路径中的数据。 有关 `sync` 子命令的详细介绍，请参考[文档](../guide/sync.md)。 @@ -689,7 +690,7 @@ juicefs sync [command options] SRC DST `--links, -l`
将符号链接复制为符号链接 (默认：false) -` --limit value`
+`--limit value`
限制将要处理的对象的数量 (默认：-1) `--manager value`
@@ -711,6 +712,7 @@ juicefs sync [command options] SRC DST 验证新拷贝文件的数据完整性 (默认：false) #### 示例 + ```bash # 从 OSS 同步到 S3 $ juicefs sync oss://mybucket.oss-cn-shanghai.aliyuncs.com s3://mybucket.s3.us-east-2.amazonaws.com @@ -729,7 +731,7 @@ $ juicefs sync --include='a1/b1' --exclude='a[1-9]/b*' s3://mybucket.s3.us-east- $ juicefs sync --include='a1/b1' --exclude='a*' --include='b2' --exclude='b?' s3://mybucket.s3.us-east-2.amazonaws.com/ /mnt/jfs/ ``` -### juicefs rmr +### `juicefs rmr` #### 描述 @@ -746,10 +748,10 @@ juicefs rmr PATH ... #### 示例 ```bash -$ juicefs rmr /mnt/jfs/foo +juicefs rmr /mnt/jfs/foo ``` -### juicefs info {#info} +### `juicefs info` {#info} #### 描述 @@ -783,7 +785,7 @@ $ cd /mnt/jfs $ juicefs info -i 100 ``` -### juicefs bench +### `juicefs bench` #### 描述 @@ -824,7 +826,7 @@ $ juicefs bench /mnt/jfs -p 4 $ juicefs bench /mnt/jfs --big-file-size 0 ``` -### juicefs objbench +### `juicefs objbench` #### 描述 @@ -841,7 +843,7 @@ juicefs objbench [command options] BUCKET #### 选项 `--storage value`
-对象存储类型 (例如 `s3`、`gcs`、`oss`、`cos`) (默认：`"file"`，请参考[文档](../guide/how_to_set_up_object_storage.md#支持的存储服务)查看所有支持的对象存储类型) +对象存储类型 (例如 `s3`、`gcs`、`oss`、`cos`) (默认：`"file"`，请参考[文档](../guide/how_to_set_up_object_storage.md#supported-object-storage)查看所有支持的对象存储类型) `--access-key value`
对象存储的 Access Key (也可通过环境变量 `ACCESS_KEY` 设置) @@ -867,14 +869,14 @@ juicefs objbench [command options] BUCKET `--threads value, -p value`
上传下载等操作的并发数（默认值：4） -#### 示例： +#### 示例 ```bash # 测试 S3 对象存储的基准性能 $ ACCESS_KEY=myAccessKey SECRET_KEY=mySecretKey juicefs objbench --storage s3 https://mybucket.s3.us-east-2.amazonaws.com -p 6 ``` -### juicefs gc {#gc} +### `juicefs gc` {#gc} #### 描述 @@ -910,7 +912,7 @@ $ juicefs gc redis://localhost --compact $ juicefs gc redis://localhost --delete ``` -### juicefs fsck +### `juicefs fsck` #### 描述 @@ -925,10 +927,10 @@ juicefs fsck [command options] META-URL #### 示例 ```bash -$ juicefs fsck redis://localhost +juicefs fsck redis://localhost ``` -### juicefs profile +### `juicefs profile` #### 描述 @@ -969,7 +971,7 @@ $ juicefs profile /tmp/jfs.alog $ juicefs profile /tmp/jfs.alog --interval 0 ``` -### juicefs stats +### `juicefs stats` #### 描述 @@ -984,15 +986,12 @@ juicefs stats [command options] MOUNTPOINT #### 选项 `--schema value`
- -控制输出内容的标题字符串 (u: usage, f: fuse, m: meta, c: blockcache, o: object, g: go) (默认："ufmco") +控制输出内容的标题字符串 (u: `usage`, f: `fuse`, m: `meta`, c: `blockcache`, o: `object`, g: `go`) (默认："ufmco") `--interval value`
- 更新间隔；单位为秒 (默认：1) `--verbosity value`
- 详细级别；通常 0 或 1 已足够 (默认：0) #### 示例 @@ -1004,7 +1003,7 @@ $ juicefs stats /mnt/jfs $ juicefs stats /mnt/jfs -l 1 ``` -### juicefs status +### `juicefs status` #### 描述 @@ -1019,15 +1018,15 @@ juicefs status [command options] META-URL #### 选项 `--session value, -s value`
-展示指定会话 (sid) 的具体信息 (默认：0) +展示指定会话 (SID) 的具体信息 (默认：0) #### 示例 ```bash -$ juicefs status redis://localhost +juicefs status redis://localhost ``` -### juicefs warmup +### `juicefs warmup` #### 描述 @@ -1064,7 +1063,7 @@ $ cat /tmp/filelist $ juicefs warmup -f /tmp/filelist ``` -### juicefs dump +### `juicefs dump` #### 描述 @@ -1092,7 +1091,7 @@ $ juicefs dump redis://localhost meta-dump $ juicefs dump redis://localhost sub-meta-dump --subdir /dir/in/jfs ``` -### juicefs load +### `juicefs load` #### 描述 @@ -1109,10 +1108,10 @@ juicefs load [command options] META-URL [FILE] #### 示例 ```bash -$ juicefs load redis://localhost/1 meta-dump +juicefs load redis://localhost/1 meta-dump ``` -### juicefs config +### `juicefs config` #### 描述 @@ -1175,11 +1174,11 @@ $ juicefs config redis://localhost --trash-days 7 $ juicefs config redis://localhost --min-client-version 1.0.0 --max-client-version 1.1.0 ``` -### juicefs destroy +### `juicefs destroy` #### 描述 -销毁一个已经存在的文件系统，将会清空元数据引擎与对象存储中的相关数据。详见[「如何销毁文件系统」](administration/destroy.md)。 +销毁一个已经存在的文件系统，将会清空元数据引擎与对象存储中的相关数据。详见[「如何销毁文件系统」](../administration/destroy.md)。 #### 使用 @@ -1195,10 +1194,10 @@ juicefs destroy [command options] META-URL UUID #### 示例 ```bash -$ juicefs destroy redis://localhost e94d66a8-2339-4abd-b8d8-6812df737892 +juicefs destroy redis://localhost e94d66a8-2339-4abd-b8d8-6812df737892 ``` -### juicefs debug +### `juicefs debug` #### 描述 @@ -1216,16 +1215,16 @@ juicefs debug [command options] MOUNTPOINT 结果输出目录，若目录不存在则自动创建 (默认：./debug/) `--stats-sec value`
-.stats文件采样秒数 (默认：5) +.stats 文件采样秒数 (默认：5) `--limit value`
收集的日志条目数，从新到旧，若不指定则收集全部条目 `--trace-sec value`
-trace指标采样秒数 (默认：5) +trace 指标采样秒数 (默认：5) `--profile-sec value`
-profile指标采样秒数 (默认：30) +profile 指标采样秒数 (默认：30) #### 示例 diff --git a/docs/zh_cn/reference/fuse_mount_options.md b/docs/zh_cn/reference/fuse_mount_options.md index 8480c8db6664..608625330b5f 100644 --- a/docs/zh_cn/reference/fuse_mount_options.md +++ b/docs/zh_cn/reference/fuse_mount_options.md @@ -10,23 +10,23 @@ JuiceFS 文件系统为用户提供多种访问方式，FUSE 是其中较为常 1. 手动执行 [`juicefs mount`](../reference/command_reference.md#mount) 命令时，通过 `-o` 选项指定，多个选项使用半角逗号分隔。 -```bash -juicefs mount -d -o allow_other,writeback_cache sqlite3://myjfs.db ~/jfs -``` + ```bash + juicefs mount -d -o allow_other,writeback_cache sqlite3://myjfs.db ~/jfs + ``` -2. Linux 发行版通过 `/etc/fstab` 定义自动挂载时，在 `options` 字段处直接添加选项，多个选项使用半角逗号分隔。 +2. Linux 发行版通过 `/etc/fstab` 定义自动挂载时，在 `options` 字段处直接添加选项，多个选项使用半角逗号分隔。 -``` -# -redis://localhost:6379/1 /jfs juicefs _netdev,allow_other 0 0 -``` + ``` + # + redis://localhost:6379/1 /jfs juicefs _netdev,allow_other 0 0 + ``` ## default_permissions JuiceFS 在挂载时会自动启用该选项，无需显式指定。该选项将启用内核的文件访问权限检查，它会在文件系统之外进行，启用后，内核检查和文件系统检查必须全部成功才允许进一步操作，该选项通常与 `allow_other` 一起使用。 :::tip -内核执行的是标准的 UNIX 权限检查，基于 mode bits、uid/gid、目录所有权。 +内核执行的是标准的 Unix 权限检查，基于 mode bits、UID/GID、目录所有权。 ::: ## allow_other @@ -49,8 +49,8 @@ FUSE 支持[「writeback-cache 模式」](https://www.kernel.org/doc/Documentati ## debug -该选项会将低层类库（go-fuse）的 Debug 信息输出到 `juicefs.log` 中。 +该选项会将低层类库（`go-fuse`）的 Debug 信息输出到 `juicefs.log` 中。 :::note 注意 -该选项会将低层类库（go-fuse）的 Debug 信息输出到 `juicefs.log` 中，需要注意的是，该选项与 JuiceFS 客户端的全局 `--debug` 选项不同，前者是输出 go-fuse 类库的调试信息，后者是输出 JucieFS 客户端的调试信息。详情参考文档[故障诊断和分析](./fault_diagnosis_and_analysis)。 -::: \ No newline at end of file +该选项会将低层类库（`go-fuse`）的 Debug 信息输出到 `juicefs.log` 中，需要注意的是，该选项与 JuiceFS 客户端的全局 `--debug` 选项不同，前者是输出 `go-fuse` 类库的调试信息，后者是输出 JuiceFS 客户端的调试信息。详情参考文档[故障诊断和分析](../administration/fault_diagnosis_and_analysis.md)。 +::: diff --git a/docs/zh_cn/reference/posix_compatibility.md b/docs/zh_cn/reference/posix_compatibility.md index ec1a1a6cfd97..9280ea6e888d 100644 --- a/docs/zh_cn/reference/posix_compatibility.md +++ b/docs/zh_cn/reference/posix_compatibility.md @@ -23,7 +23,7 @@ Result: PASS :::note 注意 测试 pjdfstest 时，需要将 JuiceFS 的回收站关闭，因为 pjdfstest 测试的删除行为是直接删除而非进入回收站，而 JuiceFS 回收站是默认开启的。 -关闭回收站命令: `juicefs config --trash-days 0` +关闭回收站命令：`juicefs config --trash-days 0` ::: 此外，JuiceFS 还提供： @@ -38,7 +38,7 @@ Result: PASS - 支持传统 POSIX 记录锁（fcntl） :::note 注意 -POSIX 记录锁分为**传统锁**和 **OFD 锁**（Open file description locks）两类，它们的加锁操作命令分别为 `F_SETLK` 和 `F_OFD_SETLK`。受限于 FUSE 内核模块的实现，目前 JuiceFS 只支持传统类型的记录锁。更多细节可参见：https://man7.org/linux/man-pages/man2/fcntl.2.html。 +POSIX 记录锁分为**传统锁**和 **OFD 锁**（Open file description locks）两类，它们的加锁操作命令分别为 `F_SETLK` 和 `F_OFD_SETLK`。受限于 FUSE 内核模块的实现，目前 JuiceFS 只支持传统类型的记录锁。更多细节可参见：。 ::: ## LTP @@ -48,7 +48,7 @@ POSIX 记录锁分为**传统锁**和 **OFD 锁**（Open file description locks ### 测试环境 - 测试主机：Amazon EC2: c5d.xlarge (4C 8G) -- 操作系统：Ubuntu 20.04.1 LTS (Kernel 5.4.0-1029-aws) +- 操作系统：Ubuntu 20.04.1 LTS (Kernel `5.4.0-1029-aws`) - 对象存储：Amazon S3 - JuiceFS 版本：0.17-dev (2021-09-16 292f2b65) @@ -57,33 +57,25 @@ POSIX 记录锁分为**传统锁**和 **OFD 锁**（Open file description locks 1. 在 GitHub 下载 LTP [源码包](https://github.com/linux-test-project/ltp/releases/download/20210524/ltp-full-20210524.tar.bz2) 2. 解压后编译安装： -```bash -tar -jvxf ltp-full-20210524.tar.bz2 -``` -```bash -cd ltp-full-20210524 -``` -```bash -./configure -``` -```bash -make all -``` -```bash -make install -``` + ```bash + tar -jvxf ltp-full-20210524.tar.bz2 + cd ltp-full-20210524 + ./configure + make all + make install + ``` 3. 测试工具安装在 `/opt/ltp`，需先切换到此目录： -```bash -cd /opt/ltp -``` + ```bash + cd /opt/ltp + ``` -测试配置文件在 `runtest` 目录下；为方便测试，删去了 `fs` 和 `syscalls` 中部分压力测试和与文件系统不想关的条目（参见[附录](#附录)，修改后保存到文件 `fs-jfs` 和 `syscalls-jfs`），然后执行命令： + 测试配置文件在 `runtest` 目录下；为方便测试，删去了 `fs` 和 `syscalls` 中部分压力测试和与文件系统不想关的条目（参见[附录](#附录)，修改后保存到文件 `fs-jfs` 和 `syscalls-jfs`），然后执行命令： -```bash -./runltp -d /mnt/jfs -f fs_bind,fs_perms_simple,fsx,io,smoketest,fs-jfs,syscalls-jfs -``` + ```bash + ./runltp -d /mnt/jfs -f fs_bind,fs_perms_simple,fsx,io,smoketest,fs-jfs,syscalls-jfs + ``` ### 测试结果 diff --git a/docs/zh_cn/reference/spec-limits.md b/docs/zh_cn/reference/spec-limits.md index 365e7f93b5b5..9b32a2c84a24 100644 --- a/docs/zh_cn/reference/spec-limits.md +++ b/docs/zh_cn/reference/spec-limits.md @@ -5,7 +5,7 @@ 以下为 JuiceFS 文件系统的理论限制，实际性能和文件系统规模会受到所采用的的元数据引擎以及对象存储的限制。 * 目录层级：无限制 -* 文件名长度 ：255 字节 +* 文件名长度：255 字节 * 符号链接长度：4096 字节 * 硬链接个数：2^31 * 单目录的文件数：2^31 diff --git a/docs/zh_cn/security/encrypt.md b/docs/zh_cn/security/encrypt.md index 7df68948174c..770aaf2cd981 100644 --- a/docs/zh_cn/security/encrypt.md +++ b/docs/zh_cn/security/encrypt.md @@ -17,9 +17,9 @@ JuiceFS 的架构决定了它的运行通常涉及与数据库和对象存储之 公有云对象存储一般会同时支持 HTTP 和 HTTPS，在创建文件系统时如果没有指定协议头，JuiceFS 会默认使用 HTTPS 协议头。例如： ```shell {2} -juicefs format --storage s3 ---bucket myjfs.s3.ap-southeast-1.amazonaws.com -... +juicefs format --storage s3 \ + --bucket myjfs.s3.ap-southeast-1.amazonaws.com \ + ... ``` 以上命令，客户端会默认将 bucket 识别为 `https://myjfs.s3.ap-southeast-1.amazonaws.com`。 @@ -31,9 +31,9 @@ juicefs format --storage s3 对于所有[支持的元数据引擎](../guide/how_to_set_up_metadata_engine.md)，只要数据库本身支持并配置了 TLS/SSL 等加密链接，JuiceFS 即可通过其加密通道进行连接。例如，配置了 TLS 加密的 Redis 数据库可以使用 `rediss://` 协议头进行链接： ```shell {3} -juicefs format --storage s3 ---bucket myjfs.s3.ap-southeast-1.amazonaws.com -"rediss://myredis.ap-southeast-1.amazonaws.com:6379/1" myjfs +juicefs format --storage s3 \ + --bucket myjfs.s3.ap-southeast-1.amazonaws.com \ + "rediss://myredis.ap-southeast-1.amazonaws.com:6379/1" myjfs ``` ## 静态数据加密 @@ -42,7 +42,7 @@ JuiceFS 提供静态数据加密支持，即先加密，再上传。所有存入 JuiceFS 的静态数据加密采用了行业标准的 AES-GCM 和 RSA 加密算法，只需在创建文件系统时提供一个 RSA 私钥即可为文件系统启用数据加密功能，通过 `JFS_RSA_PASSPHRASE` 环境变量提供私钥密码。在使用上，挂载点对应用程序完全透明，即加密和解密过程对文件系统的访问不会产生影响。 -:::caution +:::caution 注意 客户端缓存的数据是**未加密**的！不过，只有 root 用户或文件所有者有权访问这些数据。如果需要对缓存进行加密，可以把缓存目录放在加密的文件系统或加密的块存储中。 ::: @@ -61,7 +61,7 @@ JuiceFS 采用对称加密与非对称加密相结合的静态加密方案，需 #### 数据加密过程 -- 在写入对象存储之前，数据块会使用 LZ4 或 ZStandard 进行压缩。 +- 在写入对象存储之前，数据块会使用 LZ4 或 Zstandard 进行压缩。 - 为每个数据块生成一个随机的 256 位对称密钥 `S` 和一个随机种子 `N`。 - 基于 AES-GCM 使用 `S` 和 `N` 对每个数据块进行加密得到 `encrypted_data`。 - 为了避免对称密钥 `S` 在网络上明文传输，使用 RSA 私钥 `M` 对对称密钥 `S` 进行加密得到密文 `K` 。 @@ -106,28 +106,34 @@ RSA 私钥的安全极其重要，一旦泄露可能导致数据安全风险。 创建加密的文件系统需要使用 `--encrypt-rsa-key` 选项指定 RSA 私钥，提供的私钥内容将写入元数据引擎。由于 aes256 算法加密的 RSA 私钥强制要求 Passphrase，因此在创建和挂载文件系统之前都需要用环境变量 `JFS_RSA_PASSPHRASE` 来指定私钥的 Passphrase。 1. 用环境变量设置 Passphrase - ```shell - export JFS_RSA_PASSPHRASE=the-passwd-for-rsa - ``` + + ```shell + export JFS_RSA_PASSPHRASE=the-passwd-for-rsa + ``` + 2. 创建文件系统 - ```shell {2} - juicefs format --storage s3 \ - --encrypt-rsa-key my-priv-key.pem \ - ... - ``` + + ```shell {2} + juicefs format --storage s3 \ + --encrypt-rsa-key my-priv-key.pem \ + ... + ``` #### 第三步 挂载文件系统 挂载加密的文件系统无需指定额外的选项，但在挂载之前需要通先过环境变量设置私钥的 Passphrase。 1. 用环境变量设置 Passphrase - ```shell - export JFS_RSA_PASSPHRASE=the-passwd-for-rsa - ``` + + ```shell + export JFS_RSA_PASSPHRASE=the-passwd-for-rsa + ``` + 2. 挂载文件系统 - ```shell - juicefs mount redis://127.0.0.1:6379/1 /mnt/myjfs - ``` + + ```shell + juicefs mount redis://127.0.0.1:6379/1 /mnt/myjfs + ``` ### 性能提示 diff --git a/docs/zh_cn/tutorials/aliyun.md b/docs/zh_cn/tutorials/aliyun.md index 21de4cc32939..07b0de36632e 100644 --- a/docs/zh_cn/tutorials/aliyun.md +++ b/docs/zh_cn/tutorials/aliyun.md @@ -44,7 +44,7 @@ JuiceFS 会将数据对应的元数据全部存储在独立的数据库中，目 根据数据库类型的不同，带来的元数据性能和可靠性表现也各不相同。比如 Redis 是完全运行在内存上的，它能提供极致的性能，但运维难度较高，可靠性相对低。而 MySQL、PostgreSQL 是关系型数据库，性能不如 Redis，但运维难度不高，可靠性也有一定的保障。SQLite 是单机单文件关系型数据库，性能较低，也不适合用于大规模数据存储，但它免配置，适合单机少量数据存储的场景。 -如果只是为了评估 JuiceFS 的功能，你可以在 ECS 云服务器手动搭建数据库使用。当你要在生产环境使用 JucieFS 时，如果没有专业的数据库运维团队，阿里云的云数据库服务通常是更好的选择。 +如果只是为了评估 JuiceFS 的功能，你可以在 ECS 云服务器手动搭建数据库使用。当你要在生产环境使用 JuiceFS 时，如果没有专业的数据库运维团队，阿里云的云数据库服务通常是更好的选择。 当然，如果你愿意，也可以使用其他云平台上提供的云数据库服务。但在这种情况下，你只能通过公网访问云数据库，也就是说，你必须向公网暴露数据库的端口，这存在极大的安全风险，最好不要这样使用。 @@ -59,11 +59,11 @@ JuiceFS 会将数据对应的元数据全部存储在独立的数据库中，目 **本文使用了[云数据 Redis 版](https://www.aliyun.com/product/kvstore)，以下连接地址只是为了演示目的编制的伪地址：** -| Redis 版本 | 5.0 社区版 | -| ------------ | ------------------------------------ | +| Redis 版本 | 5.0 社区版 | +|--------------|----------------------------------------| | **实例规格** | 256M 标准版 - 单副本 | -| **连接地址** | herald-sh-abc.redis.rds.aliyuncs.com | -| **可用区** | 上海 | +| **连接地址** | `herald-sh-abc.redis.rds.aliyuncs.com` | +| **可用区** | 上海 | ### 三、对象存储 OSS @@ -158,30 +158,30 @@ JuiceFS 客户端安装好以后，现在就可以使用前面准备好的 Redis ```shell $ juicefs format \ - --storage oss \ - --bucket https:// \ - --access-key \ - --secret-key \ - redis://:@herald-sh-abc.redis.rds.aliyuncs.com:6379/1 \ - mystor + --storage oss \ + --bucket https:// \ + --access-key \ + --secret-key \ + redis://:@herald-sh-abc.redis.rds.aliyuncs.com:6379/1 \ + mystor ``` **选项说明：** -- `--storage`：指定对象存储类型，[点此查看](../guide/how_to_set_up_object_storage.md#%E6%94%AF%E6%8C%81%E7%9A%84%E5%AD%98%E5%82%A8%E6%9C%8D%E5%8A%A1) JuiceFS 支持的对象存储。 +- `--storage`：指定对象存储类型，[点此查看](../guide/how_to_set_up_object_storage.md#supported-object-storage) JuiceFS 支持的对象存储。 - `--bucket`：对象存储的 Bucket 域名。当使用阿里云 OSS 时，只需填写 bucket 名称即可，无需填写完整的域名，JuiceFS 会自动识别并补全地址。 - `--access-key` 和 `--secret-key`：访问对象存储 API 的秘钥对，[点此查看](https://help.aliyun.com/document_detail/38738.html)获取方式。 > Redis 6.0 身份认证需要用户名和密码两个参数，地址格式为 `redis://username:password@redis-server-url:6379/1`。目前阿里云数据库 Redis 版只提供 Reids 4.0 和 5.0 两个版本，认证身份只需要密码，在设置 Redis 服务器地址时只需留空用户名即可，例如：`redis://:password@redis-server-url:6379/1` -使用 RAM 角色绑定 ECS 时，创建 JucieFS 存储只需指定 `--storage` 和 `--bucket` 两个选项，无需提供 API 访问秘钥。命令可以改写成： +使用 RAM 角色绑定 ECS 时，创建 JuiceFS 存储只需指定 `--storage` 和 `--bucket` 两个选项，无需提供 API 访问秘钥。命令可以改写成： ```shell $ juicefs format \ - --storage oss \ - --bucket https://mytest.oss-cn-shanghai.aliyuncs.com \ - redis://:@herald-sh-abc.redis.rds.aliyuncs.com:6379/1 \ - mystor + --storage oss \ + --bucket https://mytest.oss-cn-shanghai.aliyuncs.com \ + redis://:@herald-sh-abc.redis.rds.aliyuncs.com:6379/1 \ + mystor ``` 看到类似下面的输出，代表文件系统创建成功了。 diff --git a/docs/zh_cn/tutorials/aws.md b/docs/zh_cn/tutorials/aws.md index 17c603cb60c7..25170544260e 100644 --- a/docs/zh_cn/tutorials/aws.md +++ b/docs/zh_cn/tutorials/aws.md @@ -134,12 +134,12 @@ JuiceFS 客户端的 `format` 子命令用来创建（格式化）文件系统 ```shell $ juicefs format \ - --storage s3 \ - --bucket https://.s3..amazonaws.com \ - --access-key \ - --secret-key \ - redis://[]:@:6379/1 \ - mystor + --storage s3 \ + --bucket https://.s3..amazonaws.com \ + --access-key \ + --secret-key \ + redis://[]:@:6379/1 \ + mystor ``` **选项说明：** @@ -154,10 +154,10 @@ $ juicefs format \ ```shell $ juicefs format \ - --storage s3 \ - --bucket https://herald-demo.s3..amazonaws.com \ - redis://herald-demo.abcdefg.0001.apse1.cache.amazonaws.com:6379/1 \ - mystor + --storage s3 \ + --bucket https://herald-demo.s3..amazonaws.com \ + redis://herald-demo.abcdefg.0001.apse1.cache.amazonaws.com:6379/1 \ + mystor ``` 看到类似下面的输出，代表文件系统创建成功了。 diff --git a/docs/zh_cn/tutorials/digitalocean.md b/docs/zh_cn/tutorials/digitalocean.md index e1cd3017a608..7986bfbe5073 100644 --- a/docs/zh_cn/tutorials/digitalocean.md +++ b/docs/zh_cn/tutorials/digitalocean.md @@ -30,7 +30,7 @@ JuiceFS 使用对象存储来存储所有的数据，在 DigitalOcean 上使用 这里，我们创建了一个名为 `juicefs` 的 Spaces 存储桶，区域为新加坡 `sgp1`，它的访问地址为： -- https://juicefs.sgp1.digitaloceanspaces.com +- `https://juicefs.sgp1.digitaloceanspaces.com` 另外，还需要在 API 菜单创建 `Spaces access keys`，JuiceFS 需要用它访问 Spaces 的 API。 diff --git a/docs/zh_cn/tutorials/juicefs_on_colab.md b/docs/zh_cn/tutorials/juicefs_on_colab.md index 92a7ed8a36ae..0e3dcfc4b90a 100644 --- a/docs/zh_cn/tutorials/juicefs_on_colab.md +++ b/docs/zh_cn/tutorials/juicefs_on_colab.md @@ -4,13 +4,15 @@ sidebar_position: 4 slug: /juicefs_on_colab --- -[Colaboratory](https://colab.research.google.com), 或者简称“Colab”, 是 Google Research 的产品，它允许任何人通过浏览器编写和执行 python 代码，特别适合机器学习、数据分析和教育。 -Colab 支持从 Google Drive 将文件上传到 Colab 实例或从 Colab 实例下载文件。然而在某些情况下，Google Drive 可能不太方便与 Colab 一起使用，在这种情况下，JuiceFS 是一个很有用的工具，因为他允许在 Colab 实例之间，或在 Colab 实例与本地或本地机器之间轻松的同步文件。[这里是一个使用了 juicefs 的 Colab 笔记本示例](https://colab.research.google.com/drive/1wA8vRwqiihXkI6ViDU8Ud868UeYtmCo5) +[Colaboratory](https://colab.research.google.com), 或者简称“Colab”, 是 Google Research 的产品，它允许任何人通过浏览器编写和执行 Python 代码，特别适合机器学习、数据分析和教育。 +Colab 支持从 Google Drive 将文件上传到 Colab 实例或从 Colab 实例下载文件。然而在某些情况下，Google Drive 可能不太方便与 Colab 一起使用，在这种情况下，JuiceFS 是一个很有用的工具，因为他允许在 Colab 实例之间，或在 Colab 实例与本地或本地机器之间轻松的同步文件。[这里是一个使用了 JuiceFS 的 Colab 笔记本示例](https://colab.research.google.com/drive/1wA8vRwqiihXkI6ViDU8Ud868UeYtmCo5) -说明下在 Colab 环境中使用 juicefs 的必要步骤。我们使用 Google CloudSQL 作为 JuiceFS 的元数据引擎，使用 Google Cloud Storage (GCS) 作为 JuiceFS 的对象存储。其他类型的元数据引擎与对象存储可以参考 [如何设置元数据引擎](../guide/how_to_set_up_metadata_engine.md) 和 [如何设置对象存储](../guide/how_to_set_up_object_storage.md)。 +说明下在 Colab 环境中使用 JuiceFS 的必要步骤。我们使用 Google CloudSQL 作为 JuiceFS 的元数据引擎，使用 Google Cloud Storage (GCS) 作为 JuiceFS 的对象存储。其他类型的元数据引擎与对象存储可以参考 [如何设置元数据引擎](../guide/how_to_set_up_metadata_engine.md) 和 [如何设置对象存储](../guide/how_to_set_up_object_storage.md)。 下面将要提到的很多步骤你可以也参考 [快速上手指南](../getting-started/for_distributed.md)。 -## 步骤： + +## 步骤 + 1. 在任何一个可以访问 Google Cloud 资源的机器或者实例上格式化一个 JuiceFS 文件系统 2. 挂载 JuiceFS 文件系统到 Colab Notebook 上 3. 愉快的跨平台跨机器分享存储的文件 @@ -23,6 +25,7 @@ Colab 支持从 Google Drive 将文件上传到 Colab 实例或从 Colab 实例 您可能还希望 Colab 实例位于同一区域或靠近部署 CloudSQL 和 GCS 的区域使 JuiceFS 达到最佳性能。该教程适用于随机托管的 Colab 实例，所以您或许注意到了由于 Colab 实例和 CloudSQL/GCS 区域之间的延迟而导致 JuiceFS 性能缓慢。如果想要实例在特定地区去启动 Colab，可以参考[通过 GCP Marketplace 在 Colab 上启动 GCE 虚拟机](https://research.google.com/colaboratory/marketplace.html) 按照本指南操作前，您需要准备好以下资源： + * 谷歌云平台账户需要准备就绪，还要创建了一个 *project* 。就这个示例而言，我们将创建 `juicefs-learning` GCP 项目作为演示项目 * 准备使用的 CloudSQL（Postgres）。在本演示中使用实例 `juicefs-learning:europe-west1:juicefs-sql-example-1` 作为元数据服务 * 创建的 GCS 桶作为对象存储服务。在这个演示中，我们将使用`gs://juicefs-bucket-example-1`作为存储文件的桶。 @@ -31,11 +34,12 @@ Colab 支持从 Google Drive 将文件上传到 Colab 实例或从 Colab 实例 ## 详细步骤 ### 步骤 1 - 创建并挂载一个 JuiceFS 文件系统 + 这个步骤只需要操作一次，你可以在任何可以访问你的 Google Cloud 资源的机器或者实例上执行。 在这里例子中，我将在我的本地机器上操作，首先你可以使用 `gcloud auth application-default login` 获取本地的凭证，或者使用 `GOOGLE_APPLICATION_CREDENTIALS` 设置 JSON 凭证文件。 -然后你可以使用 [cloud sql 代理功能](https://cloud.google.com/sql/docs/mysql/connect-admin-proxy) 将你的 Postgres 云服务暴露在你本地机器上的一个端口上（这里是 5432）。 +然后你可以使用 [Cloud SQL 代理功能](https://cloud.google.com/sql/docs/mysql/connect-admin-proxy) 将你的 Postgres 云服务暴露在你本地机器上的一个端口上（这里是 5432）。 -``` +```shell gcloud auth application-default login # 或者设置 JSON 凭证文件 GOOGLE_APPLICATION_CREDENTIALS=/path/to/key @@ -46,7 +50,7 @@ cloud_sql_proxy -instances=juicefs-learning:europe-west1:juicefs-sql-example-1=t 然后使用 `juicefs format` 命令创建一个名为“myvolume”的新文件系统。之后将此文件系统挂载到您可以访问云资源的任何其他机器/实例中。 你可以在[这里](https://github.com/juicedata/juicefs/releases)下载 JuiceFS。 -``` +```shell juicefs format \ --storage gs \ --bucket gs://juicefs-bucket-example-1 \ @@ -60,44 +64,43 @@ juicefs format \ 完成上述步骤 1 后，这意味着您已经有一个 JuiceFS 文件系统（此案例中为“myvolume”）并准备就绪可以使用了。 因此，在这里，我们打开一个 Colab 页面并运行这些命令，将我们的文件系统挂载到一个名为“mnt”的文件夹中。 -首先我们下载 JuiceFS 二进制然后按照步骤一操作获取 GCP 的凭证和打开 cloud sql 代理。 +首先我们下载 JuiceFS 二进制然后按照步骤一操作获取 GCP 的凭证和打开 Cloud SQL 代理。 请注意，以下命令在 Colab 环境中运行，一个 `!` 在开头意味着开始运行 shell 命令。 1. 下载 `JuiceFS`到 Colab 实例上 -``` -! curl -L -o juicefs.tar.gz https://github.com/juicedata/juicefs/releases/download/v1.0.0-beta2/juicefs-1.0.0-beta2-linux-amd64.tar.gz -! tar -xf juicefs.tar.gz -``` + ```shell + ! curl -L -o juicefs.tar.gz https://github.com/juicedata/juicefs/releases/download/v1.0.0-beta2/juicefs-1.0.0-beta2-linux-amd64.tar.gz + ! tar -xf juicefs.tar.gz + ``` 2. 设置 Google Cloud 凭证 -``` -! gcloud auth application-default login -``` + ```shell + ! gcloud auth application-default login + ``` 3. 打开 cloud_sql 代理 -``` -! wget https://dl.google.com/cloudsql/cloud_sql_proxy.linux.amd64 -O cloud_sql_proxy -! chmod +x cloud_sql_proxy -! GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json nohup ./cloud_sql_proxy -instances=juicefs-learning:europe-west1:juicefs-sql-example-1=tcp:0.0.0.0:5432 >> cloud_sql_proxy.log & -``` + ```shell + ! wget https://dl.google.com/cloudsql/cloud_sql_proxy.linux.amd64 -O cloud_sql_proxy + ! chmod +x cloud_sql_proxy + ! GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json nohup ./cloud_sql_proxy -instances=juicefs-learning:europe-west1:juicefs-sql-example-1=tcp:0.0.0.0:5432 >> cloud_sql_proxy.log & + ``` -4. 挂载 JuiceFS filesystem `myvolumn` 到 `mnt` 目录上。 +4. 挂载 JuiceFS file system `myvolumn` 到 `mnt` 目录上。 -``` -! GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json nohup ./juicefs mount "postgres://postgres:mushroom1@localhost:5432/juicefs?sslmode=disable" mnt > juicefs.log & -``` + ```shell + ! GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json nohup ./juicefs mount "postgres://postgres:mushroom1@localhost:5432/juicefs?sslmode=disable" mnt > juicefs.log & + ``` 现在你应该可以像使用本地文件系统一样使用 `mnt` 目录了。 - ### 步骤 3 - 在任意时间从其他实例加载数据 现在，由于您在 JuiceFS 文件系统中的第 2 步中存储了数据，因此您可以随时在任何其他机器中重复第 2 步中提到的所有操作，以便再次访问之前存储的数据或存储更多数据。 恭喜！现在您已经学会了如何使用 JuiceFS，特别是如何将其与 Google Colab 一起以分布式的方式共享和存储数据文件。 -[一个使用了 juicefs 的 Colab 笔记本示例](https://colab.research.google.com/drive/1wA8vRwqiihXkI6ViDU8Ud868UeYtmCo5) +[一个使用了 JuiceFS 的 Colab 笔记本示例](https://colab.research.google.com/drive/1wA8vRwqiihXkI6ViDU8Ud868UeYtmCo5) 愉快的编码吧 :） diff --git a/docs/zh_cn/tutorials/juicefs_on_k3s.md b/docs/zh_cn/tutorials/juicefs_on_k3s.md index 922295264e20..5025bccffad7 100644 --- a/docs/zh_cn/tutorials/juicefs_on_k3s.md +++ b/docs/zh_cn/tutorials/juicefs_on_k3s.md @@ -3,9 +3,8 @@ title: 在 K3s 上使用 JuiceFS sidebar_position: 1 slug: /juicefs_on_k3s --- -# 在 K3s 上使用 JuiceFS -[K3s](https://k3s.io/) 是一个经过功能优化的 Kubernetes 发行版，它与 Kubernetes 完全兼容，即几乎所有在 Kubernetes 的操作都可以在 K3s 上执行。K3s 将整个容器编排系统打包进了一个容量不足 100MB 的二进制程序，减少了部署 Kubernetes 生产集群的环境依赖，大大降低了安装难度。相比之下，K3s 对操作系统的性能要求更低，树莓派等 ARM 设备都可以用来组建集群。 +[K3s](https://k3s.io) 是一个经过功能优化的 Kubernetes 发行版，它与 Kubernetes 完全兼容，即几乎所有在 Kubernetes 的操作都可以在 K3s 上执行。K3s 将整个容器编排系统打包进了一个容量不足 100MB 的二进制程序，减少了部署 Kubernetes 生产集群的环境依赖，大大降低了安装难度。相比之下，K3s 对操作系统的性能要求更低，树莓派等 ARM 设备都可以用来组建集群。 在本文中，我们会建立一个包含两个节点的 K3s 集群，为集群安装并配置使用 [JuiceFS CSI Driver](https://github.com/juicedata/juicefs-csi-driver)，最后会创建一个 Nginx 容器进行验证。 @@ -35,6 +34,7 @@ curl -sfL https://get.k3s.io | sh - ```shell sudo kubectl get nodes ``` + ```output NAME STATUS ROLES AGE VERSION k3s-s1 Ready control-plane,master 28h v1.21.4+k3s1 @@ -53,7 +53,7 @@ sudo -u root cat /var/lib/rancher/k3s/server/node-token 执行以下命令，将其中 `K3S_URL` 的值改成 server 节点的 IP 或域名，默认端口 `6443`。将 `K3S_TOKEN` 的值替换成从 server 节点获取的 `node-token`。 ```shell -$ curl -sfL https://get.k3s.io | K3S_URL=http://192.168.1.35:6443 K3S_TOKEN=K1041f7c4fabcdefghijklmnopqrste2ec338b7300674f::server:3d0ab12800000000000000006328bbd80 sh - +curl -sfL https://get.k3s.io | K3S_URL=http://192.168.1.35:6443 K3S_TOKEN=K1041f7c4fabcdefghijklmnopqrste2ec338b7300674f::server:3d0ab12800000000000000006328bbd80 sh - ``` 部署成功以后，回到 server 节点查看节点状态： @@ -61,6 +61,7 @@ $ curl -sfL https://get.k3s.io | K3S_URL=http://192.168.1.35:6443 K3S_TOKEN=K104 ```shell sudo kubectl get nodes ``` + ```output NAME STATUS ROLES AGE VERSION k3s-s1 Ready control-plane,master 28h v1.21.4+k3s1 @@ -123,6 +124,7 @@ kubectl apply -f juicefs-sc.yaml ```shell sudo kubectl get sc ``` + ```output NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE local-path (default) rancher.io/local-path Delete WaitForFirstConsumer false 28h @@ -252,6 +254,7 @@ sudo kubectl apply -f ingress.yaml ```shell sudo kubectl get pods ``` + ```output NAME READY STATUS RESTARTS AGE nginx-run-7d6fb7d6df-qhr2m 1/1 Running 0 28h diff --git a/docs/zh_cn/tutorials/juicefs_on_kubesphere.md b/docs/zh_cn/tutorials/juicefs_on_kubesphere.md index aa86096010bf..3778ac1260ff 100644 --- a/docs/zh_cn/tutorials/juicefs_on_kubesphere.md +++ b/docs/zh_cn/tutorials/juicefs_on_kubesphere.md @@ -4,7 +4,7 @@ sidebar_position: 3 slug: /juicefs_on_kubesphere --- -[KubeSphere](https://kubesphere.com.cn/) 是在 Kubernetes 之上构建的以应用为中心的多租户容器平台，提供全栈的 IT 自动化运维的能力，简化企业的 DevOps 工作流。 +[KubeSphere](https://kubesphere.com.cn) 是在 Kubernetes 之上构建的以应用为中心的多租户容器平台，提供全栈的 IT 自动化运维的能力，简化企业的 DevOps 工作流。 KubeSphere 提供了运维友好的向导式操作界面，即便是 Kubernetes 经验并不丰富的用户，也能相对轻松的上手开始管理和使用。它提供了基于 Helm 的应用市场，可以在图形化界面下非常轻松地安装各种 Kubernetes 应用。 @@ -14,12 +14,12 @@ KubeSphere 提供了运维友好的向导式操作界面，即便是 Kubernetes 1. 安装 KubeSphere -安装 KubeSphere 有两种方法。一是在 Linux 上直接安装，可以参考文档：[在 Linux 安装 KubeSphere](https://kubesphere.com.cn/docs/quick-start/all-in-one-on-linux/) ； -二是在已有 Kubernetes 中安装，可以参考文档：[在 Kubernetes 安装 KubeSphere](https://kubesphere.com.cn/docs/quick-start/minimal-kubesphere-on-k8s/) 。 + 安装 KubeSphere 有两种方法。一是在 Linux 上直接安装，可以参考文档：[在 Linux 安装 KubeSphere](https://kubesphere.com.cn/docs/quick-start/all-in-one-on-linux) ； +二是在已有 Kubernetes 中安装，可以参考文档：[在 Kubernetes 安装 KubeSphere](https://kubesphere.com.cn/docs/quick-start/minimal-kubesphere-on-k8s) 。 2. 在 KubeSphere 中启用应用商店 -在 KubeSphere 中启用应用商店可以参考文档：[KubeSphere 应用商店](https://kubesphere.com.cn/docs/pluggable-components/app-store/) 。 + 在 KubeSphere 中启用应用商店可以参考文档：[KubeSphere 应用商店](https://kubesphere.com.cn/docs/pluggable-components/app-store) 。 ## 安装 JuiceFS CSI Driver @@ -33,14 +33,14 @@ KubeSphere 提供了运维友好的向导式操作界面，即便是 Kubernetes 在企业空间中点击进去应用管理，选择「应用仓库」，点击创建按钮添加 JuiceFS CSI 仓库，填写： -- 仓库名称：juicefs-csi-driver -- Index URL：https://juicedata.github.io/juicefs-csi-driver/ +- 仓库名称：`juicefs-csi-driver` +- Index URL：`https://juicedata.github.io/juicefs-csi-driver/` ![](../images/kubesphere_app_shop.png) #### 方法二：应用模板 -先在 JuiceFS CSI Driver 仓库下载 chart 压缩包：https://github.com/juicedata/juicefs-csi-driver/releases 。 +先在 JuiceFS CSI Driver 仓库下载 chart 压缩包： 。 在「企业空间」中点击进入「应用管理」，选择「应用模板」，点击「创建」，上传 chart 压缩包： @@ -48,7 +48,7 @@ KubeSphere 提供了运维友好的向导式操作界面，即便是 Kubernetes ### 安装 -在「企业空间」中选择您所需部署的「项目」（KubeSphere 中的项目即为 K8s 中的 namespace），选择「应用负载」，点击「部署新应用」按钮，选择「来自应用商店」，然后选择「juicefs」： +在「企业空间」中选择您所需部署的「项目」（KubeSphere 中的项目即为 K8s 中的 namespace），选择「应用负载」，点击「部署新应用」按钮，选择「来自应用商店」，然后选择 `juicefs`： ![](../images/kubesphere_shop_juicefs.jpg) @@ -57,6 +57,7 @@ KubeSphere 提供了运维友好的向导式操作界面，即便是 Kubernetes ![](../images/kubesphere_install_csi.png) 进入配置修改页面后一致，修改以下两个地方： + - namespace：改成对应的项目名 - storageClass.backend： `backend` 部分用来定义文件系统后端的数据库和对象存储，可以查阅 [「JuiceFS 快速上手指南」](../getting-started/README.md) 了解相关内容。 diff --git a/docs/zh_cn/tutorials/juicefs_on_rancher.md b/docs/zh_cn/tutorials/juicefs_on_rancher.md index e9e6847fcee0..496325f3edc9 100644 --- a/docs/zh_cn/tutorials/juicefs_on_rancher.md +++ b/docs/zh_cn/tutorials/juicefs_on_rancher.md @@ -4,7 +4,7 @@ sidebar_position: 2 slug: /juicefs_on_rancher --- -简单来说，[Rancher](https://rancher.com/) 是一个企业级的 Kubernetes 集群管理工具，使用它可以非常轻松的在各种云计算平台上快速的完成 Kubernetes 集群的部署。 +简单来说，[Rancher](https://rancher.com) 是一个企业级的 Kubernetes 集群管理工具，使用它可以非常轻松的在各种云计算平台上快速的完成 Kubernetes 集群的部署。 Rancher 提供了基于浏览器的管理界面，即便是 Kubernetes 经验并不丰富的用户，也能相对轻松的上手开始管理和使用。它默认预置了基于 Helm 的应用市场，可以在图形化界面下非常轻松的安装各种 Kubernetes 应用。 @@ -50,8 +50,8 @@ Rancher 安装成功以后，可以看到它已经在当前容器中部署了一 在集群列表中点击进入创建的 Kubernetes 集群，左侧导航菜单点击展开 `应用市场` → `Chart 仓库`，点击 `创建` 按钮添加 JuiceFS CSI 仓库，填写： -- **仓库名称**：juicefs -- **Index URL**：https://juicedata.github.io/juicefs-csi-driver/ +- **仓库名称**：`juicefs` +- **Index URL**：`https://juicedata.github.io/juicefs-csi-driver/` ![](../images/rancher-new-repo.jpg) diff --git a/docs/zh_cn/tutorials/qcloud.md b/docs/zh_cn/tutorials/qcloud.md index 2569745a9d32..451650006a84 100644 --- a/docs/zh_cn/tutorials/qcloud.md +++ b/docs/zh_cn/tutorials/qcloud.md @@ -44,7 +44,7 @@ JuiceFS 会将数据对应的元数据全部存储在独立的数据库中，目 根据数据库类型的不同，带来的元数据性能和可靠性表现也各不相同。比如 Redis 是完全运行在内存上的，它能提供极致的性能，但运维难度较高，可靠性相对低。而 MySQL、PostgreSQL 是关系型数据库，性能不如 Redis，但运维难度不高，可靠性也有一定的保障。SQLite 是单机单文件关系型数据库，性能较低，也不适合用于大规模数据存储，但它免配置，适合单机少量数据存储的场景。 -如果只是为了评估 JuiceFS 的功能，你可以在 CVM 云服务器手动搭建数据库使用。当你要在生产环境使用 JucieFS 时，如果没有专业的数据库运维团队，腾讯云的云数据库服务通常是更好的选择。 +如果只是为了评估 JuiceFS 的功能，你可以在 CVM 云服务器手动搭建数据库使用。当你要在生产环境使用 JuiceFS 时，如果没有专业的数据库运维团队，腾讯云的云数据库服务通常是更好的选择。 当然，如果你愿意，也可以使用其他云平台上提供的云数据库服务。但在这种情况下，你只能通过公网访问云数据库，也就是说，你必须向公网暴露数据库的端口，这存在极大的安全风险，最好不要这样使用。 @@ -164,17 +164,17 @@ JuiceFS 客户端安装好以后，现在就可以使用前面准备好的 Redis ```shell $ juicefs format \ - --storage cos \ - --bucket https:// \ - --access-key \ - --secret-key \ - redis://:@192.168.5.5:6379/1 \ - mystor + --storage cos \ + --bucket https:// \ + --access-key \ + --secret-key \ + redis://:@192.168.5.5:6379/1 \ + mystor ``` **选项说明：** -- `--storage`：指定对象存储类型，[点此查看](../guide/how_to_set_up_object_storage.md#%E6%94%AF%E6%8C%81%E7%9A%84%E5%AD%98%E5%82%A8%E6%9C%8D%E5%8A%A1) JuiceFS 支持的对象存储。 +- 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