[MINOR][DOCS] Minor typo fixes

## What changes were proposed in this pull request?

Minor typo fixes (too minor to deserve separate a JIRA)

## How was this patch tested?

local build

Author: Jacek Laskowski <jacek@japila.pl>

Closes #12469 from jaceklaskowski/minor-typo-fixes.

10 files changed, 14 insertions, 15 deletions

diff --git a/graphx/src/main/scala/org/apache/spark/graphx/Graph.scala b/graphx/src/main/scala/org/apache/spark/graphx/Graph.scala
index 5485e30f5a..922ec7955f 100644
--- a/graphx/src/main/scala/org/apache/spark/graphx/Graph.scala
+++ b/graphx/src/main/scala/org/apache/spark/graphx/Graph.scala
@@ -365,7 +365,7 @@ abstract class Graph[VD: ClassTag, ED: ClassTag] protected () extends Serializab
    *
    * @note By expressing computation at the edge level we achieve
    * maximum parallelism.  This is one of the core functions in the
-   * Graph API in that enables neighborhood level computation. For
+   * Graph API that enables neighborhood level computation. For
    * example this function can be used to count neighbors satisfying a
    * predicate or implement PageRank.
    *
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/Row.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/Row.scala
index 1219d4d453..726291b96c 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/Row.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/Row.scala
@@ -338,7 +338,7 @@ trait Row extends Serializable {
    * Returns the index of a given field name.
    *
    * @throws UnsupportedOperationException when schema is not defined.
-   * @throws IllegalArgumentException when fieldName do not exist.
+   * @throws IllegalArgumentException when a field `name` does not exist.
    */
   def fieldIndex(name: String): Int = {
     throw new UnsupportedOperationException("fieldIndex on a Row without schema is undefined.")
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
index b3064fd531..4c2bf12ac9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
@@ -458,8 +458,8 @@ class Dataset[T] protected[sql](
    * Returns true if this [[Dataset]] contains one or more sources that continuously
    * return data as it arrives. A [[Dataset]] that reads data from a streaming source
    * must be executed as a [[ContinuousQuery]] using the `startStream()` method in
-   * [[DataFrameWriter]].  Methods that return a single answer, (e.g., `count()` or
-   * `collect()`) will throw an [[AnalysisException]] when there is a streaming
+   * [[DataFrameWriter]]. Methods that return a single answer, e.g. `count()` or
+   * `collect()`, will throw an [[AnalysisException]] when there is a streaming
    * source present.
    *
    * @group basic
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
index ef626ef5fc..8e72e06b1f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
@@ -143,7 +143,7 @@ case class DataSource(
         caseInsensitiveOptions,
         fileCatalog.allFiles())
     }.getOrElse {
-      throw new AnalysisException("Unable to infer schema.  It must be specified manually.")
+      throw new AnalysisException("Unable to infer schema. It must be specified manually.")
     }
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala
index ddba3ccb1b..99bf20c746 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala
@@ -46,8 +46,7 @@ import org.apache.spark.sql.SparkSession
  * files in a directory always shows the latest files.
  */
 class HDFSMetadataLog[T: ClassTag](sparkSession: SparkSession, path: String)
-  extends MetadataLog[T]
-  with Logging {
+  extends MetadataLog[T] with Logging {
 
   import HDFSMetadataLog._
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Source.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Source.scala
index 6457f928ed..1d2f7a8753 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Source.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Source.scala
@@ -34,8 +34,8 @@ trait Source  {
   def getOffset: Option[Offset]
 
   /**
-   * Returns the data that is is between the offsets (`start`, `end`].  When `start` is `None` then
-   * the batch should begin with the first available record.  This method must always return the
+   * Returns the data that is between the offsets (`start`, `end`].  When `start` is `None` then
+   * the batch should begin with the first available record. This method must always return the
    * same data for a particular `start` and `end` pair.
    */
   def getBatch(start: Option[Offset], end: Offset): DataFrame
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
index ea3c73d984..fc18e5f065 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
@@ -75,7 +75,7 @@ class StreamExecution(
   /** The current batchId or -1 if execution has not yet been initialized. */
   private var currentBatchId: Long = -1
 
-  /** All stream sources present the query plan. */
+  /** All stream sources present in the query plan. */
   private val sources =
     logicalPlan.collect { case s: StreamingExecutionRelation => s.source }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingRelation.scala
index 3341580fc4..4d65d2f4f5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingRelation.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingRelation.scala
@@ -33,7 +33,7 @@ object StreamingRelation {
  * [[org.apache.spark.sql.catalyst.plans.logical.LogicalPlan]]. This is only used for creating
  * a streaming [[org.apache.spark.sql.DataFrame]] from [[org.apache.spark.sql.DataFrameReader]].
  * It should be used to create [[Source]] and converted to [[StreamingExecutionRelation]] when
- * passing to [StreamExecution]] to run a query.
+ * passing to [[StreamExecution]] to run a query.
  */
 case class StreamingRelation(dataSource: DataSource, sourceName: String, output: Seq[Attribute])
   extends LeafNode {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala
index 8ff82a3c74..6b1ecd08c1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala
@@ -204,7 +204,7 @@ class FileStreamSourceSuite extends FileStreamSourceTest with SharedSQLContext {
         createFileStreamSourceAndGetSchema(
           format = Some("parquet"), path = Some(new File(src, "1").getCanonicalPath), schema = None)
       }
-      assert("Unable to infer schema.  It must be specified manually.;" === e.getMessage)
+      assert("Unable to infer schema. It must be specified manually.;" === e.getMessage)
     }
   }
 
@@ -235,7 +235,7 @@ class FileStreamSourceSuite extends FileStreamSourceTest with SharedSQLContext {
         createFileStreamSourceAndGetSchema(
           format = Some("json"), path = Some(src.getCanonicalPath), schema = None)
       }
-      assert("Unable to infer schema.  It must be specified manually.;" === e.getMessage)
+      assert("Unable to infer schema. It must be specified manually.;" === e.getMessage)
     }
   }
 
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 d6ff96e1fc..b6394e36b5 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
@@ -418,7 +418,7 @@ class PairDStreamFunctions[K, V](self: DStream[(K, V)])
   /**
    * Return a new "state" DStream where the state for each key is updated by applying
    * the given function on the previous state of the key and the new values of the key.
-   * org.apache.spark.Partitioner is used to control the partitioning of each RDD.
+   * [[org.apache.spark.Partitioner]] is used to control the partitioning of each RDD.
    * @param updateFunc State update function. If `this` function returns None, then
    *                   corresponding state key-value pair will be eliminated.
    * @param partitioner Partitioner for controlling the partitioning of each RDD in the new
@@ -439,7 +439,7 @@ class PairDStreamFunctions[K, V](self: DStream[(K, V)])
   /**
    * Return a new "state" DStream where the state for each key is updated by applying
    * the given function on the previous state of the key and the new values of each key.
-   * org.apache.spark.Partitioner is used to control the partitioning of each RDD.
+   * [[org.apache.spark.Partitioner]] is used to control the partitioning of each RDD.
    * @param updateFunc State update function. Note, that this function may generate a different
    *                   tuple with a different key than the input key. Therefore keys may be removed
    *                   or added in this way. It is up to the developer to decide whether to