From acdf21970334cea9d6cfc287e4ccb8e72de9dee1 Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Mon, 14 Mar 2016 09:07:39 +0000
Subject: [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.
---
 .../src/main/scala/org/apache/spark/streaming/Checkpoint.scala      | 2 +-
 .../main/scala/org/apache/spark/streaming/StreamingContext.scala    | 2 +-
 .../scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala | 2 +-
 .../org/apache/spark/streaming/api/java/JavaStreamingContext.scala  | 2 +-
 .../org/apache/spark/streaming/dstream/PairDStreamFunctions.scala   | 4 ++--
 .../org/apache/spark/streaming/dstream/TransformedDStream.scala     | 2 +-
 .../apache/spark/streaming/ui/StreamingJobProgressListener.scala    | 2 +-
 .../src/main/scala/org/apache/spark/streaming/util/StateMap.scala   | 2 +-
 .../test/scala/org/apache/spark/streaming/MapWithStateSuite.scala   | 2 +-
 .../org/apache/spark/streaming/ReceivedBlockHandlerSuite.scala      | 6 +++---
 .../org/apache/spark/streaming/ReceiverInputDStreamSuite.scala      | 2 +-
 .../src/test/scala/org/apache/spark/streaming/StateMapSuite.scala   | 2 +-
 .../scala/org/apache/spark/streaming/StreamingContextSuite.scala    | 2 +-
 .../src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala   | 2 +-
 14 files changed, 17 insertions(+), 17 deletions(-)

(limited to 'streaming')

diff --git a/streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala b/streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala
index 11a4c7dfd0..16c575bcc1 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala
@@ -205,7 +205,7 @@ class CheckpointWriter(
       // also use the latest checkpoint time as the file name, so that we can recovery from the
       // latest checkpoint file.
       //
-      // Note: there is only one thread writting the checkpoint files, so we don't need to worry
+      // Note: there is only one thread writing the checkpoint files, so we don't need to worry
       // about thread-safety.
       val checkpointFile = Checkpoint.checkpointFile(checkpointDir, latestCheckpointTime)
       val backupFile = Checkpoint.checkpointBackupFile(checkpointDir, latestCheckpointTime)
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala b/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
index 25e61578a1..e7f3a213d4 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
@@ -299,7 +299,7 @@ class StreamingContext private[streaming] (
 
   /**
    * Create a input stream from TCP source hostname:port. Data is received using
-   * a TCP socket and the receive bytes it interepreted as object using the given
+   * a TCP socket and the receive bytes it interpreted as object using the given
    * converter.
    * @param hostname      Hostname to connect to for receiving data
    * @param port          Port to connect to for receiving data
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala
index aad9a12c15..2a80cf4466 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala
@@ -155,7 +155,7 @@ class JavaPairDStream[K, V](val dstream: DStream[(K, V)])(
   /**
    * Return a new DStream by applying `reduceByKey` to each RDD. The values for each key are
    * merged using the supplied reduce function. org.apache.spark.Partitioner is used to control
-   * thepartitioning of each RDD.
+   * the partitioning of each RDD.
    */
   def reduceByKey(func: JFunction2[V, V, V], partitioner: Partitioner): JavaPairDStream[K, V] = {
     dstream.reduceByKey(func, partitioner)
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala
index 860b802725..05f4da6fac 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala
@@ -530,7 +530,7 @@ class JavaStreamingContext(val ssc: StreamingContext) extends Closeable {
    * Return the current state of the context. The context can be in three possible states -
    * <ul>
    *   <li>
-   *   StreamingContextState.INTIALIZED - The context has been created, but not been started yet.
+   *   StreamingContextState.INITIALIZED - The context has been created, but not been started yet.
    *   Input DStreams, transformations and output operations can be created on the context.
    *   </li>
    *   <li>
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala
index 1dcdb64e28..d6ff96e1fc 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/PairDStreamFunctions.scala
@@ -446,7 +446,7 @@ class PairDStreamFunctions[K, V](self: DStream[(K, V)])
    *                   remember the partitioner despite the key being changed.
    * @param partitioner Partitioner for controlling the partitioning of each RDD in the new
    *                    DStream
-   * @param rememberPartitioner Whether to remember the paritioner object in the generated RDDs.
+   * @param rememberPartitioner Whether to remember the partitioner object in the generated RDDs.
    * @tparam S State type
    */
   def updateStateByKey[S: ClassTag](
@@ -490,7 +490,7 @@ class PairDStreamFunctions[K, V](self: DStream[(K, V)])
    *                   remember the  partitioner despite the key being changed.
    * @param partitioner Partitioner for controlling the partitioning of each RDD in the new
    *                    DStream
-   * @param rememberPartitioner Whether to remember the paritioner object in the generated RDDs.
+   * @param rememberPartitioner Whether to remember the partitioner object in the generated RDDs.
    * @param initialRDD initial state value of each key.
    * @tparam S State type
    */
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/dstream/TransformedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/TransformedDStream.scala
index 080bc873fa..47eb9b806f 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/dstream/TransformedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/TransformedDStream.scala
@@ -55,7 +55,7 @@ class TransformedDStream[U: ClassTag] (
   /**
    * Wrap a body of code such that the call site and operation scope
    * information are passed to the RDDs created in this body properly.
-   * This has been overriden to make sure that `displayInnerRDDOps` is always `true`, that is,
+   * This has been overridden to make sure that `displayInnerRDDOps` is always `true`, that is,
    * the inner scopes and callsites of RDDs generated in `DStream.transform` are always
    * displayed in the UI.
    */
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingJobProgressListener.scala b/streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingJobProgressListener.scala
index 430f35a400..d6fcc582b9 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingJobProgressListener.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingJobProgressListener.scala
@@ -257,7 +257,7 @@ private[streaming] class StreamingJobProgressListener(ssc: StreamingContext)
     }
     batchUIData.foreach { _batchUIData =>
       // We use an Iterable rather than explicitly converting to a seq so that updates
-      // will propegate
+      // will propagate
       val outputOpIdToSparkJobIds: Iterable[OutputOpIdAndSparkJobId] =
         Option(batchTimeToOutputOpIdSparkJobIdPair.get(batchTime).asScala)
           .getOrElse(Seq.empty)
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/util/StateMap.scala b/streaming/src/main/scala/org/apache/spark/streaming/util/StateMap.scala
index 2be1d6df86..3a21cfae5a 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/util/StateMap.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/util/StateMap.scala
@@ -177,7 +177,7 @@ private[streaming] class OpenHashMapBasedStateMap[K, S](
     new OpenHashMapBasedStateMap[K, S](this, deltaChainThreshold = deltaChainThreshold)
   }
 
-  /** Whether the delta chain lenght is long enough that it should be compacted */
+  /** Whether the delta chain length is long enough that it should be compacted */
   def shouldCompact: Boolean = {
     deltaChainLength >= deltaChainThreshold
   }
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/MapWithStateSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/MapWithStateSuite.scala
index 403400904b..3b662ec183 100644
--- a/streaming/src/test/scala/org/apache/spark/streaming/MapWithStateSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/MapWithStateSuite.scala
@@ -518,7 +518,7 @@ class MapWithStateSuite extends SparkFunSuite
 
       val mapWithStateStream = dstream.map { _ -> 1 }.mapWithState(
         StateSpec.function(runningCount))
-      // Set internval make sure there is one RDD checkpointing
+      // Set interval make sure there is one RDD checkpointing
       mapWithStateStream.checkpoint(checkpointDuration)
       mapWithStateStream.stateSnapshots()
     }
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/ReceivedBlockHandlerSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/ReceivedBlockHandlerSuite.scala
index 45424f9bac..95c1609d8e 100644
--- a/streaming/src/test/scala/org/apache/spark/streaming/ReceivedBlockHandlerSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/ReceivedBlockHandlerSuite.scala
@@ -202,13 +202,13 @@ class ReceivedBlockHandlerSuite
     blockManager = createBlockManager(12000, sparkConf)
 
     // there is not enough space to store this block in MEMORY,
-    // But BlockManager will be able to sereliaze this block to WAL
+    // But BlockManager will be able to serialize this block to WAL
     // and hence count returns correct value.
      testRecordcount(false, StorageLevel.MEMORY_ONLY,
       IteratorBlock((List.fill(70)(new Array[Byte](100))).iterator), blockManager, Some(70))
 
     // there is not enough space to store this block in MEMORY,
-    // But BlockManager will be able to sereliaze this block to DISK
+    // But BlockManager will be able to serialize this block to DISK
     // and hence count returns correct value.
     testRecordcount(true, StorageLevel.MEMORY_AND_DISK,
       IteratorBlock((List.fill(70)(new Array[Byte](100))).iterator), blockManager, Some(70))
@@ -272,7 +272,7 @@ class ReceivedBlockHandlerSuite
   }
 
   /**
-   * Test storing of data using different types of Handler, StorageLevle and ReceivedBlocks
+   * Test storing of data using different types of Handler, StorageLevel and ReceivedBlocks
    * and verify the correct record count
    */
   private def testRecordcount(isBlockManagedBasedBlockHandler: Boolean,
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/ReceiverInputDStreamSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/ReceiverInputDStreamSuite.scala
index a4871b460e..6763ac64da 100644
--- a/streaming/src/test/scala/org/apache/spark/streaming/ReceiverInputDStreamSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/ReceiverInputDStreamSuite.scala
@@ -97,7 +97,7 @@ class ReceiverInputDStreamSuite extends TestSuiteBase with BeforeAndAfterAll {
       assert(blockRDD.walRecordHandles.toSeq === blockInfos.map { _.walRecordHandleOption.get })
   }
 
-  testWithWAL("createBlockRDD creates BlockRDD when some block info dont have WAL info") {
+  testWithWAL("createBlockRDD creates BlockRDD when some block info don't have WAL info") {
     receiverStream =>
       val blockInfos1 = Seq.fill(2) { createBlockInfo(withWALInfo = true) }
       val blockInfos2 = Seq.fill(3) { createBlockInfo(withWALInfo = false) }
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala
index 7a76cafc9a..484f3733e8 100644
--- a/streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/StateMapSuite.scala
@@ -182,7 +182,7 @@ class StateMapSuite extends SparkFunSuite {
      *
      * - These operations are done on a test map in "sets". After each set, the map is "copied"
      *   to create a new map, and the next set of operations are done on the new one. This tests
-     *   whether the map data persistes correctly across copies.
+     *   whether the map data persist correctly across copies.
      *
      * - Within each set, there are a number of operations to test whether the map correctly
      *   updates and removes data without affecting the parent state map.
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/StreamingContextSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/StreamingContextSuite.scala
index 197b3d1439..2159edce2b 100644
--- a/streaming/src/test/scala/org/apache/spark/streaming/StreamingContextSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/StreamingContextSuite.scala
@@ -147,7 +147,7 @@ class StreamingContextSuite extends SparkFunSuite with BeforeAndAfter with Timeo
     }
   }
 
-  test("start with non-seriazable DStream checkpoints") {
+  test("start with non-serializable DStream checkpoints") {
     val checkpointDir = Utils.createTempDir()
     ssc = new StreamingContext(conf, batchDuration)
     ssc.checkpoint(checkpointDir.getAbsolutePath)
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala b/streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala
index 82cd63bcaf..8269963edf 100644
--- a/streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala
@@ -56,7 +56,7 @@ private[streaming] class DummyInputDStream(ssc: StreamingContext) extends InputD
 /**
  * This is a input stream just for the testsuites. This is equivalent to a checkpointable,
  * replayable, reliable message queue like Kafka. It requires a sequence as input, and
- * returns the i_th element at the i_th batch unde manual clock.
+ * returns the i_th element at the i_th batch under manual clock.
  */
 class TestInputStream[T: ClassTag](_ssc: StreamingContext, input: Seq[Seq[T]], numPartitions: Int)
   extends InputDStream[T](_ssc) {
-- 
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