[MINOR][DOCS] Fix more typos in comments/strings.

## What changes were proposed in this pull request?

This PR fixes 135 typos over 107 files:
* 121 typos in comments
* 11 typos in testcase name
* 3 typos in log messages

## How was this patch tested?

Manual.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #11689 from dongjoon-hyun/fix_more_typos.

4 files changed, 8 insertions, 8 deletions

diff --git a/yarn/src/main/scala/org/apache/spark/deploy/yarn/AMDelegationTokenRenewer.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/AMDelegationTokenRenewer.scala
index 6e95bb9710..498471b23b 100644
--- a/yarn/src/main/scala/org/apache/spark/deploy/yarn/AMDelegationTokenRenewer.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/AMDelegationTokenRenewer.scala
@@ -115,7 +115,7 @@ private[yarn] class AMDelegationTokenRenewer(
         }
       }
     // Schedule update of credentials. This handles the case of updating the tokens right now
-    // as well, since the renenwal interval will be 0, and the thread will get scheduled
+    // as well, since the renewal interval will be 0, and the thread will get scheduled
     // immediately.
     scheduleRenewal(driverTokenRenewerRunnable)
   }
diff --git a/yarn/src/main/scala/org/apache/spark/deploy/yarn/ExecutorRunnable.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ExecutorRunnable.scala
index 9f91d182eb..9cdbd6da62 100644
--- a/yarn/src/main/scala/org/apache/spark/deploy/yarn/ExecutorRunnable.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ExecutorRunnable.scala
@@ -186,9 +186,9 @@ private[yarn] class ExecutorRunnable(
         else {
           // If no java_opts specified, default to using -XX:+CMSIncrementalMode
           // It might be possible that other modes/config is being done in
-          // spark.executor.extraJavaOptions, so we dont want to mess with it.
-          // In our expts, using (default) throughput collector has severe perf ramnifications in
-          // multi-tennent machines
+          // spark.executor.extraJavaOptions, so we don't want to mess with it.
+          // In our expts, using (default) throughput collector has severe perf ramifications in
+          // multi-tenant machines
           // The options are based on
           // http://www.oracle.com/technetwork/java/gc-tuning-5-138395.html#0.0.0.%20When%20to%20Use
           // %20the%20Concurrent%20Low%20Pause%20Collector|outline
diff --git a/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnSparkHadoopUtil.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnSparkHadoopUtil.scala
index ed56d4bd44..2915e664be 100644
--- a/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnSparkHadoopUtil.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnSparkHadoopUtil.scala
@@ -65,7 +65,7 @@ class YarnSparkHadoopUtil extends SparkHadoopUtil {
   override def isYarnMode(): Boolean = { true }
 
   // Return an appropriate (subclass) of Configuration. Creating a config initializes some Hadoop
-  // subsystems. Always create a new config, dont reuse yarnConf.
+  // subsystems. Always create a new config, don't reuse yarnConf.
   override def newConfiguration(conf: SparkConf): Configuration =
     new YarnConfiguration(super.newConfiguration(conf))
 
@@ -217,7 +217,7 @@ class YarnSparkHadoopUtil extends SparkHadoopUtil {
     // the hive configuration class is a subclass of Hadoop Configuration, so can be cast down
     // to a Configuration and used without reflection
     val hiveConfClass = mirror.classLoader.loadClass("org.apache.hadoop.hive.conf.HiveConf")
-    // using the (Configuration, Class) constructor allows the current configuratin to be included
+    // using the (Configuration, Class) constructor allows the current configuration to be included
     // in the hive config.
     val ctor = hiveConfClass.getDeclaredConstructor(classOf[Configuration],
       classOf[Object].getClass)
@@ -502,7 +502,7 @@ object YarnSparkHadoopUtil {
   /**
    * Getting the initial target number of executors depends on whether dynamic allocation is
    * enabled.
-   * If not using dynamic allocation it gets the number of executors reqeusted by the user.
+   * If not using dynamic allocation it gets the number of executors requested by the user.
    */
   def getInitialTargetExecutorNumber(
       conf: SparkConf,
diff --git a/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnShuffleIntegrationSuite.scala b/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnShuffleIntegrationSuite.scala
index 1538ff75be..05c1e1613d 100644
--- a/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnShuffleIntegrationSuite.scala
+++ b/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnShuffleIntegrationSuite.scala
@@ -78,7 +78,7 @@ private object YarnExternalShuffleDriver extends Logging with Matchers {
         s"""
         |Invalid command line: ${args.mkString(" ")}
         |
-        |Usage: ExternalShuffleDriver [result file] [registed exec file]
+        |Usage: ExternalShuffleDriver [result file] [registered exec file]
         """.stripMargin)
       // scalastyle:on println
       System.exit(1)