GitHub user uncleGen opened a pull request: https://github.com/apache/spark/pull/17052
[SPARK-19690][SS] Join a streaming DataFrame with a batch DataFrame which has an aggregation may not work ## What changes were proposed in this pull request? `StatefulAggregationStrategy` should check logicplan is streaming or not Test code: ``` case class Record(key: Int, value: String) val df = spark.createDataFrame((1 to 100).map(i => Record(i, s"value_$i"))).groupBy("value").count val lines = spark.readStream.format("socket").option("host", "localhost").option("port", "9999").load val words = lines.as[String].flatMap(_.split(" ")) val result = words.join(df, "value") ``` before pr: ``` == Physical Plan == *Project [value#13, count#19L] +- *BroadcastHashJoin [value#13], [value#1], Inner, BuildRight :- *Filter isnotnull(value#13) : +- *SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true) AS value#13] : +- MapPartitions <function1>, obj#12: java.lang.String : +- DeserializeToObject value#5.toString, obj#11: java.lang.String : +- StreamingRelation textSocket, [value#5] +- BroadcastExchange HashedRelationBroadcastMode(List(input[0, string, true])) +- *HashAggregate(keys=[value#1], functions=[count(1)]) +- StateStoreSave [value#1], OperatorStateId(<unknown>,0,0), Append, 0 +- *HashAggregate(keys=[value#1], functions=[merge_count(1)]) +- StateStoreRestore [value#1], OperatorStateId(<unknown>,0,0) +- *HashAggregate(keys=[value#1], functions=[merge_count(1)]) +- Exchange hashpartitioning(value#1, 200) +- *HashAggregate(keys=[value#1], functions=[partial_count(1)]) +- *Project [value#1] +- *Filter isnotnull(value#1) +- LocalTableScan [key#0, value#1] ``` after pr: ``` == Physical Plan == *Project [value#13, count#19L] +- *BroadcastHashJoin [value#13], [value#1], Inner, BuildRight :- *Filter isnotnull(value#13) : +- *SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true) AS value#13] : +- MapPartitions <function1>, obj#12: java.lang.String : +- DeserializeToObject value#5.toString, obj#11: java.lang.String : +- StreamingRelation textSocket, [value#5] +- BroadcastExchange HashedRelationBroadcastMode(List(input[0, string, true])) +- *HashAggregate(keys=[value#1], functions=[count(1)]) +- Exchange hashpartitioning(value#1, 200) +- *HashAggregate(keys=[value#1], functions=[partial_count(1)]) +- *Project [value#1] +- *Filter isnotnull(value#1) +- LocalTableScan [key#0, value#1] ``` ## How was this patch tested? add new unit test. You can merge this pull request into a Git repository by running: $ git pull https://github.com/uncleGen/spark SPARK-19690 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/17052.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 #17052 ---- commit e45b06e2495e09c6d7e7a50ee509044b526bf8d0 Author: uncleGen <husty...@gmail.com> Date: 2017-02-22T10:18:31Z Join a streaming DataFrame with a batch DataFrame which has an aggregation may not work commit 9eb57b7294f2636e370be86cf975509917fdd861 Author: uncleGen <husty...@gmail.com> Date: 2017-02-24T06:38:41Z code clean ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org