[MINOR][DOCS] fix typo for docs,log message and comments

### What changes were proposed in this pull request?
Fix typo for docs, log messages and comments

### Why are the changes needed?
typo fix to increase readability

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
manual test has been performed to test the updated

Closes apache#29443 from brandonJY/spell-fix-doc.

Authored-by: Brandon Jiang <[email protected]>
Signed-off-by: Takeshi Yamamuro <[email protected]>

common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java

@@ -290,7 +290,7 @@ public boolean sharedByteBufAllocators() {
   }
 
   /**
-  * If enabled then off-heap byte buffers will be prefered for the shared ByteBuf allocators.
+  * If enabled then off-heap byte buffers will be preferred for the shared ByteBuf allocators.
   */
   public boolean preferDirectBufsForSharedByteBufAllocators() {
     return conf.getBoolean("spark.network.io.preferDirectBufs", true);

core/src/main/java/org/apache/spark/api/plugin/DriverPlugin.java

@@ -41,7 +41,7 @@ public interface DriverPlugin {
    * initialization.
    * <p>
    * It's recommended that plugins be careful about what operations are performed in this call,
-   * preferrably performing expensive operations in a separate thread, or postponing them until
+   * preferably performing expensive operations in a separate thread, or postponing them until
    * the application has fully started.
    *
    * @param sc The SparkContext loading the plugin.

core/src/main/scala/org/apache/spark/resource/ResourceDiscoveryScriptPlugin.scala

@@ -29,7 +29,7 @@ import org.apache.spark.util.Utils.executeAndGetOutput
 /**
  * The default plugin that is loaded into a Spark application to control how custom
  * resources are discovered. This executes the discovery script specified by the user
- * and gets the json output back and contructs ResourceInformation objects from that.
+ * and gets the json output back and constructs ResourceInformation objects from that.
  * If the user specifies custom plugins, this is the last one to be executed and
  * throws if the resource isn't discovered.
  *

docs/job-scheduling.md

@@ -298,7 +298,7 @@ later.
 
 In order to synchronize PVM threads with JVM threads, you should set `PYSPARK_PIN_THREAD` environment variable
 to `true`. This pinned thread mode allows one PVM thread has one corresponding JVM thread. With this mode,
-`pyspark.InheritableThread` is recommanded to use together for a PVM thread to inherit the interitable attributes
+`pyspark.InheritableThread` is recommended to use together for a PVM thread to inherit the inheritable attributes
  such as local properties in a JVM thread.
 
 Note that `PYSPARK_PIN_THREAD` is currently experimental and not recommended for use in production.

docs/sql-ref-syntax-qry-select-groupby.md

@@ -58,7 +58,7 @@ aggregate_name ( [ DISTINCT ] expression [ , ... ] ) [ FILTER ( WHERE boolean_ex
 
 * **grouping_expression**
 
-    Specifies the critieria based on which the rows are grouped together. The grouping of rows is performed based on
+    Specifies the criteria based on which the rows are grouped together. The grouping of rows is performed based on
     result values of the grouping expressions. A grouping expression may be a column alias, a column position
     or an expression.
 

docs/sql-ref-syntax-qry-select-hints.md

@@ -31,7 +31,7 @@ Hints give users a way to suggest how Spark SQL to use specific approaches to ge
 
 ### Partitioning Hints
 
-Partitioning hints allow users to suggest a partitioning stragety that Spark should follow. `COALESCE`, `REPARTITION`,
+Partitioning hints allow users to suggest a partitioning strategy that Spark should follow. `COALESCE`, `REPARTITION`,
 and `REPARTITION_BY_RANGE` hints are supported and are equivalent to `coalesce`, `repartition`, and
 `repartitionByRange` [Dataset APIs](api/scala/org/apache/spark/sql/Dataset.html), respectively. These hints give users
 a way to tune performance and control the number of output files in Spark SQL. When multiple partitioning hints are

docs/sql-ref.md

@@ -32,7 +32,7 @@ Spark SQL is Apache Spark's module for working with structured data. This guide
    * [Integration with Hive UDFs/UDAFs/UDTFs](sql-ref-functions-udf-hive.html)
  * [Identifiers](sql-ref-identifier.html)
  * [Literals](sql-ref-literals.html)
- * [Null Semanitics](sql-ref-null-semantics.html)
+ * [Null Semantics](sql-ref-null-semantics.html)
  * [SQL Syntax](sql-ref-syntax.html)
    * [DDL Statements](sql-ref-syntax-ddl.html)
    * [DML Statements](sql-ref-syntax-dml.html)

launcher/src/main/java/org/apache/spark/launcher/LauncherServer.java

@@ -364,7 +364,7 @@ public void close() throws IOException {
      *
      * This method allows a short period for the above to happen (same amount of time as the
      * connection timeout, which is configurable). This should be fine for well-behaved
-     * applications, where they close the connection arond the same time the app handle detects the
+     * applications, where they close the connection around the same time the app handle detects the
      * app has finished.
      *
      * In case the connection is not closed within the grace period, this method forcefully closes

sbin/decommission-worker.sh

@@ -46,7 +46,7 @@ else
 fi
 
 # Check if --block-until-exit is set.
-# This is done for systems which block on the decomissioning script and on exit
+# This is done for systems which block on the decommissioning script and on exit
 # shut down the entire system (e.g. K8s).
 if [ "$1" == "--block-until-exit" ]; then
   shift

sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableCatalog.java

@@ -176,7 +176,7 @@ Table alterTable(
    * @param newIdent the new table identifier of the table
    * @throws NoSuchTableException If the table to rename doesn't exist or is a view
    * @throws TableAlreadyExistsException If the new table name already exists or is a view
-   * @throws UnsupportedOperationException If the namespaces of old and new identiers do not
+   * @throws UnsupportedOperationException If the namespaces of old and new identifiers do not
    *                                       match (optional)
    */
   void renameTable(Identifier oldIdent, Identifier newIdent)

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/QueryPlanningTracker.scala

@@ -28,7 +28,7 @@ import org.apache.spark.util.BoundedPriorityQueue
  * There are two separate concepts we track:
  *
  * 1. Phases: These are broad scope phases in query planning, as listed below, i.e. analysis,
- * optimizationm and physical planning (just planning).
+ * optimization and physical planning (just planning).
  *
  * 2. Rules: These are the individual Catalyst rules that we track. In addition to time, we also
  * track the number of invocations and effective invocations.

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowTablePropertiesExec.scala

@@ -36,7 +36,7 @@ case class ShowTablePropertiesExec(
     import scala.collection.JavaConverters._
     val toRow = RowEncoder(schema).resolveAndBind().createSerializer()
 
-    // The reservered properties are accessible through DESCRIBE
+    // The reserved properties are accessible through DESCRIBE
     val properties = catalogTable.properties.asScala
       .filter { case (k, v) => !CatalogV2Util.TABLE_RESERVED_PROPERTIES.contains(k) }
     propertyKey match {