Repository: spark
Updated Branches:
  refs/heads/branch-2.3 8ff0cc48b -> 7ca2cd463


[SPARK-23250][DOCS] Typo in JavaDoc/ScalaDoc for DataFrameWriter

## What changes were proposed in this pull request?

Fix typo in ScalaDoc for DataFrameWriter - originally stated "This is 
applicable for all file-based data sources (e.g. Parquet, JSON) staring Spark 
2.1.0", should be "starting with Spark 2.1.0".

## How was this patch tested?

Check of correct spelling in ScalaDoc

Please review http://spark.apache.org/contributing.html before opening a pull 
request.

Author: CCInCharge <charles.l.chen....@gmail.com>

Closes #20417 from CCInCharge/master.

(cherry picked from commit 686a622c93207564635569f054e1e6c921624e96)
Signed-off-by: Sean Owen <so...@cloudera.com>


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/7ca2cd46
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/7ca2cd46
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/7ca2cd46

Branch: refs/heads/branch-2.3
Commit: 7ca2cd463db90fc166a10de1ebe58ccc795fbbe9
Parents: 8ff0cc4
Author: CCInCharge <charles.l.chen....@gmail.com>
Authored: Sun Jan 28 14:55:43 2018 -0600
Committer: Sean Owen <so...@cloudera.com>
Committed: Sun Jan 28 14:55:49 2018 -0600

----------------------------------------------------------------------
 .../main/scala/org/apache/spark/sql/DataFrameWriter.scala   | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/7ca2cd46/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
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diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala 
b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index 5f3d444..5c02eae 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -174,7 +174,8 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) 
{
    * predicates on the partitioned columns. In order for partitioning to work 
well, the number
    * of distinct values in each column should typically be less than tens of 
thousands.
    *
-   * This is applicable for all file-based data sources (e.g. Parquet, JSON) 
staring Spark 2.1.0.
+   * This is applicable for all file-based data sources (e.g. Parquet, JSON) 
starting with Spark
+   * 2.1.0.
    *
    * @since 1.4.0
    */
@@ -188,7 +189,8 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) 
{
    * Buckets the output by the given columns. If specified, the output is laid 
out on the file
    * system similar to Hive's bucketing scheme.
    *
-   * This is applicable for all file-based data sources (e.g. Parquet, JSON) 
staring Spark 2.1.0.
+   * This is applicable for all file-based data sources (e.g. Parquet, JSON) 
starting with Spark
+   * 2.1.0.
    *
    * @since 2.0
    */
@@ -202,7 +204,8 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) 
{
   /**
    * Sorts the output in each bucket by the given columns.
    *
-   * This is applicable for all file-based data sources (e.g. Parquet, JSON) 
staring Spark 2.1.0.
+   * This is applicable for all file-based data sources (e.g. Parquet, JSON) 
starting with Spark
+   * 2.1.0.
    *
    * @since 2.0
    */


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