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| author | Cheng Hao <hao.cheng@intel.com> | 2015-05-14 00:14:59 +0800 |
|---|---|---|
| committer | Cheng Lian <lian@databricks.com> | 2015-05-14 00:14:59 +0800 |
| commit | 0da254fb2903c01e059fa7d0dc81df5740312b35 (patch) | |
| tree | c99831581e4987626b950f0df96ce36a26e0ee53 /sql/catalyst | |
| parent | aa6ba3f2166edcc8bcda3abc70482fa8605e83b7 (diff) | |
| download | spark-0da254fb2903c01e059fa7d0dc81df5740312b35.tar.gz spark-0da254fb2903c01e059fa7d0dc81df5740312b35.tar.bz2 spark-0da254fb2903c01e059fa7d0dc81df5740312b35.zip | |
[SPARK-6734] [SQL] Add UDTF.close support in Generate
Some third-party UDTF extensions generate additional rows in the "GenericUDTF.close()" method, which is supported / documented by Hive.
https://cwiki.apache.org/confluence/display/Hive/DeveloperGuide+UDTF
However, Spark SQL ignores the "GenericUDTF.close()", and it causes bug while porting job from Hive to Spark SQL.
Author: Cheng Hao <hao.cheng@intel.com>
Closes #5383 from chenghao-intel/udtf_close and squashes the following commits:
98b4e4b [Cheng Hao] Support UDTF.close
Diffstat (limited to 'sql/catalyst')
| -rw-r--r-- | sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala index 9a6cb048af..747a47bdde 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/generators.scala @@ -56,6 +56,12 @@ abstract class Generator extends Expression { /** Should be implemented by child classes to perform specific Generators. */ override def eval(input: Row): TraversableOnce[Row] + + /** + * Notifies that there are no more rows to process, clean up code, and additional + * rows can be made here. + */ + def terminate(): TraversableOnce[Row] = Nil } /** |