[DOC] Adjust coverage for partitionBy()

This is the related thread: http://search-hadoop.com/m/q3RTtO3ReeJ1iF02&subj=Re+partitioning+json+data+in+spark Michael suggested fixing the doc. Please review. Author: tedyu <[email protected]> Closes #10499 from ted-yu/master. (cherry picked from commit 40d0396) Signed-off-by: Michael Armbrust <[email protected]>
apache · Jan 4, 2016 · 1005ee3 · 1005ee3
1 parent 7f37c1e
commit 1005ee3
Showing 1 changed file with 1 addition and 1 deletion.
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
@@ -119,7 +119,7 @@ final class DataFrameWriter private[sql](df: DataFrame) {
    * Partitions the output by the given columns on the file system. If specified, the output is
    * laid out on the file system similar to Hive's partitioning scheme.
    *
-   * This is only applicable for Parquet at the moment.
+   * This was initially applicable for Parquet but in 1.5+ covers JSON, text, ORC and avro as well.
    *
    * @since 1.4.0
    */