Raghav Kumar Gautam created SPARK-25424:
-------------------------------------------
Summary: Window duration and slide duration with negative values
should fail fast
Key: SPARK-25424
URL: https://issues.apache.org/jira/browse/SPARK-25424
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.3.1
Reporter: Raghav Kumar Gautam
Fix For: 2.3.2
In TimeWindow class window duration and slide duration is not be allowed to
take negative values.
Currently this is enforced by catalyst. It can be enforced by constructor of
TimeWindow allowing it to fail fast.
For e.g. the code below throws following error. Note that the error is produced
at the time of count() call instead of window() call.
{code}
val df = spark.readStream
.format("rate")
.option("numPartitions", "2")
.option("rowsPerSecond", "10")
.load()
.filter("value % 20 == 0")
.withWatermark("timestamp", "10 seconds")
.groupBy(window($"timestamp", "-10 seconds", "5 seconds"))
.count()
{code}
Error:
{code}
cannot resolve 'timewindow(timestamp, -10000000, 5000000, 0)' due to data type
mismatch: The window duration (-10000000) must be greater than 0.;;
'Aggregate [timewindow(timestamp#47-T10000ms, -10000000, 5000000, 0)],
[timewindow(timestamp#47-T10000ms, -10000000, 5000000, 0) AS window#53,
count(1) AS count#57L]
+- AnalysisBarrier
+- EventTimeWatermark timestamp#47: timestamp, interval 10 seconds
+- Filter ((value#48L % cast(20 as bigint)) = cast(0 as bigint))
+- StreamingRelationV2
org.apache.spark.sql.execution.streaming.RateSourceProvider@52e44f71, rate,
Map(rowsPerSecond -> 10, numPartitions -> 2), [timestamp#47, value#48L],
StreamingRelation
DataSource(org.apache.spark.sql.SparkSession@221961f2,rate,List(),None,List(),None,Map(rowsPerSecond
-> 10, numPartitions -> 2),None), rate, [timestamp#45, value#46L]
org.apache.spark.sql.AnalysisException: cannot resolve 'timewindow(timestamp,
-10000000, 5000000, 0)' due to data type mismatch: The window duration
(-10000000) must be greater than 0.;;
'Aggregate [timewindow(timestamp#47-T10000ms, -10000000, 5000000, 0)],
[timewindow(timestamp#47-T10000ms, -10000000, 5000000, 0) AS window#53,
count(1) AS count#57L]
+- AnalysisBarrier
+- EventTimeWatermark timestamp#47: timestamp, interval 10 seconds
+- Filter ((value#48L % cast(20 as bigint)) = cast(0 as bigint))
+- StreamingRelationV2
org.apache.spark.sql.execution.streaming.RateSourceProvider@52e44f71, rate,
Map(rowsPerSecond -> 10, numPartitions -> 2), [timestamp#47, value#48L],
StreamingRelation
DataSource(org.apache.spark.sql.SparkSession@221961f2,rate,List(),None,List(),None,Map(rowsPerSecond
-> 10, numPartitions -> 2),None), rate, [timestamp#45, value#46L]
at
org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:93)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:85)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:288)
at
org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsUp$1.apply(QueryPlan.scala:95)
at
org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsUp$1.apply(QueryPlan.scala:95)
at
org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1.apply(QueryPlan.scala:107)
at
org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1.apply(QueryPlan.scala:107)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpression$1(QueryPlan.scala:106)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:118)
at
org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1$1.apply(QueryPlan.scala:122)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:122)
at
org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2.apply(QueryPlan.scala:127)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.mapExpressions(QueryPlan.scala:127)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:95)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:85)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:80)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:80)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:92)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:105)
at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57)
at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:74)
at
org.apache.spark.sql.RelationalGroupedDataset.toDF(RelationalGroupedDataset.scala:66)
at
org.apache.spark.sql.RelationalGroupedDataset.count(RelationalGroupedDataset.scala:239)
at
com.hortonworks.qe.HelloScalaTest$$anonfun$2.apply$mcV$sp(HelloScalaTest.scala:39)
at
com.hortonworks.qe.HelloScalaTest$$anonfun$2.apply(HelloScalaTest.scala:28)
at
com.hortonworks.qe.HelloScalaTest$$anonfun$2.apply(HelloScalaTest.scala:28)
at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
at org.scalatest.Transformer.apply(Transformer.scala:22)
at org.scalatest.Transformer.apply(Transformer.scala:20)
at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
at org.scalatest.TestSuite$class.withFixture(TestSuite.scala:196)
at org.scalatest.FunSuite.withFixture(FunSuite.scala:1560)
at
org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
at
org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
at
org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
at
com.hortonworks.qe.AbstractTest.org$scalatest$BeforeAndAfter$$super$runTest(AbstractTest.scala:11)
at org.scalatest.BeforeAndAfter$class.runTest(BeforeAndAfter.scala:203)
at com.hortonworks.qe.AbstractTest.runTest(AbstractTest.scala:11)
at
org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
at
org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
at
org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
at
org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at
org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite$class.run(Suite.scala:1147)
at
org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at
org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
at
org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
at
com.hortonworks.qe.AbstractTest.org$scalatest$BeforeAndAfter$$super$run(AbstractTest.scala:11)
at org.scalatest.BeforeAndAfter$class.run(BeforeAndAfter.scala:258)
at com.hortonworks.qe.AbstractTest.run(AbstractTest.scala:11)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
at
org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1340)
at
org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1334)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1334)
at
org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1011)
at
org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1010)
at
org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1500)
at
org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
at org.scalatest.tools.Runner$.run(Runner.scala:850)
at org.scalatest.tools.Runner.run(Runner.scala)
at
org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2(ScalaTestRunner.java:131)
at
org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:28)
{code}
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