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| author | tedyu <yuzhihong@gmail.com> | 2016-01-04 12:38:04 -0800 |
|---|---|---|
| committer | Michael Armbrust <michael@databricks.com> | 2016-01-04 12:38:04 -0800 |
| commit | 40d03960d79debdff5cef21997417c4f8a8ce2e9 (patch) | |
| tree | 197a86bab3a7515c726d3cc0c184a24db0349999 /sql/core | |
| parent | 573ac55d7469ea2ea7a5979b4d3eea99c98f6560 (diff) | |
| download | spark-40d03960d79debdff5cef21997417c4f8a8ce2e9.tar.gz spark-40d03960d79debdff5cef21997417c4f8a8ce2e9.tar.bz2 spark-40d03960d79debdff5cef21997417c4f8a8ce2e9.zip | |
[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 <yuzhihong@gmail.com>
Closes #10499 from ted-yu/master.
Diffstat (limited to 'sql/core')
| -rw-r--r-- | sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala | 2 |
1 files changed, 1 insertions, 1 deletions
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 9f59c0f3a7..9afa685690 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 @@ -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 */ |