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 <charles.l.chen....@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 <charles.l.chen....@gmail.com> Authored: Sun Jan 28 14:55:43 2018 -0600 Committer: Sean Owen <so...@cloudera.com> Committed: Sun Jan 28 14:55:43 2018 -0600 ---------------------------------------------------------------------- .../main/scala/org/apache/spark/sql/DataFrameWriter.scala | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/686a622c/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala ---------------------------------------------------------------------- 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 */ --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org