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Posted to issues@spark.apache.org by "Tathagata Das (JIRA)" <ji...@apache.org> on 2018/02/14 22:39:00 UTC
[jira] [Resolved] (SPARK-23406) Stream-stream self joins does not
work
[ https://issues.apache.org/jira/browse/SPARK-23406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tathagata Das resolved SPARK-23406.
-----------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 20598
[https://github.com/apache/spark/pull/20598]
> Stream-stream self joins does not work
> --------------------------------------
>
> Key: SPARK-23406
> URL: https://issues.apache.org/jira/browse/SPARK-23406
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.3.0
> Reporter: Tathagata Das
> Assignee: Tathagata Das
> Priority: Major
> Fix For: 3.0.0
>
>
> Currently stream-stream self join throws the following error
> {code}
> val df = spark.readStream.format("rate").option("numRowsPerSecond", "1").option("numPartitions", "1").load()
> display(df.withColumn("key", $"value" / 10).join(df.withColumn("key", $"value" / 5), "key"))
> {code}
> error:
> {code}
> Failure when resolving conflicting references in Join:
> 'Join UsingJoin(Inner,List(key))
> :- Project [timestamp#850, value#851L, (cast(value#851L as double) / cast(10 as double)) AS key#855]
> : +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@7f1d2a68,rate,List(),None,List(),None,Map(numPartitions -> 1, numRowsPerSecond -> 1),None), rate, [timestamp#850, value#851L]
> +- Project [timestamp#850, value#851L, (cast(value#851L as double) / cast(5 as double)) AS key#860]
> +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@7f1d2a68,rate,List(),None,List(),None,Map(numPartitions -> 1, numRowsPerSecond -> 1),None), rate, [timestamp#850, value#851L]
> Conflicting attributes: timestamp#850,value#851L
> ;;
> 'Join UsingJoin(Inner,List(key))
> :- Project [timestamp#850, value#851L, (cast(value#851L as double) / cast(10 as double)) AS key#855]
> : +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@7f1d2a68,rate,List(),None,List(),None,Map(numPartitions -> 1, numRowsPerSecond -> 1),None), rate, [timestamp#850, value#851L]
> +- Project [timestamp#850, value#851L, (cast(value#851L as double) / cast(5 as double)) AS key#860]
> +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@7f1d2a68,rate,List(),None,List(),None,Map(numPartitions -> 1, numRowsPerSecond -> 1),None), rate, [timestamp#850, value#851L]
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:39)
> at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:101)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:378)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:98)
> at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:148)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:98)
> at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:101)
> at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:71)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:73)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withPlan(Dataset.scala:3063)
> at org.apache.spark.sql.Dataset.join(Dataset.scala:787)
> at org.apache.spark.sql.Dataset.join(Dataset.scala:756)
> at org.apache.spark.sql.Dataset.join(Dataset.scala:731)
> {code}
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