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Posted to issues@spark.apache.org by "Tathagata Das (JIRA)" <ji...@apache.org> on 2016/11/19 00:35:59 UTC
[jira] [Resolved] (SPARK-18497) ForeachSink fails with "assertion
failed: No plan for EventTimeWatermark"
[ https://issues.apache.org/jira/browse/SPARK-18497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tathagata Das resolved SPARK-18497.
-----------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15934
[https://github.com/apache/spark/pull/15934]
> ForeachSink fails with "assertion failed: No plan for EventTimeWatermark"
> -------------------------------------------------------------------------
>
> Key: SPARK-18497
> URL: https://issues.apache.org/jira/browse/SPARK-18497
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.1.0
> Reporter: Aaron Davidson
> Assignee: Shixiong Zhu
> Priority: Critical
> Fix For: 2.1.0
>
>
> I have a pretty standard stream. I call ".writeStream.foreach(...).start()" and get
> {code}
> java.lang.AssertionError: assertion failed: No plan for EventTimeWatermark timestamp#39688: timestamp, interval 1 days
> 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)
> 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$12.hasNext(Iterator.scala:440)
> at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92)
> at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:79)
> at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:75)
> at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:84)
> at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:84)
> at org.apache.spark.sql.execution.QueryExecution$$anonfun$toString$3.apply(QueryExecution.scala:232)
> at org.apache.spark.sql.execution.QueryExecution$$anonfun$toString$3.apply(QueryExecution.scala:232)
> at org.apache.spark.sql.execution.QueryExecution.stringOrError(QueryExecution.scala:107)
> at org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:232)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:54)
> at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2751)
> at org.apache.spark.sql.Dataset.foreachPartition(Dataset.scala:2290)
> at org.apache.spark.sql.execution.streaming.ForeachSink.addBatch(ForeachSink.scala:70)
> at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatch(StreamExecution.scala:449)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply$mcZ$sp(StreamExecution.scala:227)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply(StreamExecution.scala:215)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply(StreamExecution.scala:215)
> at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$reportTimeTaken(StreamExecution.scala:687)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1.apply$mcZ$sp(StreamExecution.scala:214)
> at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:43)
> at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:210)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:144)
> {code}
> What do?
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