GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/15885
[SPARK-18440][Structured Streaming] Pass correct query execution to
FileFormatWriter
## What changes were proposed in this pull request?
SPARK-18012 refactored the file write path in FileStreamSink using
FileFormatWriter which always uses the default non-streaming QueryExecution to
perform the writes. This is wrong for FileStreamSink, because the streaming
QueryExecution (i.e. IncrementalExecution) should be used for correctly
incrementalizing aggregation. The addition of watermarks in SPARK-18124, file
stream sink should logically supports aggregation + watermark + append mode.
But actually it fails with
```
16:23:07.389 ERROR
org.apache.spark.sql.execution.streaming.StreamExecution: Query query-0
terminated with error
java.lang.AssertionError: assertion failed: No plan for EventTimeWatermark
timestamp#7: timestamp, interval 10 seconds
+- LocalRelation [timestamp#7]
at scala.Predef$.assert(Predef.scala:170)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:77)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:74)
at
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
at
scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at
scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1336)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:74)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:66)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:77)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:74)
```
This PR fixes it by passing the correct query execution.
## How was this patch tested?
New unit test
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/tdas/spark SPARK-18440
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15885.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #15885
----
commit 337ef01d06237b613d04011795b73c564b4b3e54
Author: Tathagata Das <tathagata.das1...@gmail.com>
Date: 2016-11-15T00:48:47Z
Pass correct query execution to FileFormatWriter
----
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