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Posted to commits@spark.apache.org by sr...@apache.org on 2018/01/28 20:55:46 UTC
spark git commit: [SPARK-23250][DOCS] Typo in JavaDoc/ScalaDoc for
DataFrameWriter
Repository: spark
Updated Branches:
refs/heads/master c40fda9e4 -> 686a622c9
[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 <ch...@gmail.com>
Closes #20417 from CCInCharge/master.
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/686a622c
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/686a622c
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/686a622c
Branch: refs/heads/master
Commit: 686a622c93207564635569f054e1e6c921624e96
Parents: c40fda9
Author: CCInCharge <ch...@gmail.com>
Authored: Sun Jan 28 14:55:43 2018 -0600
Committer: Sean Owen <so...@cloudera.com>
Committed: Sun Jan 28 14:55:43 2018 -0600
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.../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/686a622c/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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