[jira] [Updated] (SPARK-20666) Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
[
https://issues.apache.org/jira/browse/SPARK-20666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Shixiong Zhu updated SPARK-20666:
-
Fix Version/s: (was: 2.2.1)
(was: 2.3.0)
2.2.0
> Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
> ---
>
> Key: SPARK-20666
> URL: https://issues.apache.org/jira/browse/SPARK-20666
> Project: Spark
> Issue Type: Bug
> Components: ML, Spark Core, SparkR
>Affects Versions: 2.2.0
>Reporter: Felix Cheung
>Assignee: Wenchen Fan
>Priority: Critical
> Fix For: 2.2.0
>
>
> seeing quite a bit of this on AppVeyor, aka Windows only,-> seems like in
> other test runs too, always only when running ML tests, it seems
> {code}
> Exception in thread "SparkListenerBus" java.lang.IllegalAccessError:
> Attempted to access garbage collected accumulator 159454
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:265)
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:261)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:261)
> at org.apache.spark.util.AccumulatorV2.name(AccumulatorV2.scala:88)
> at
> org.apache.spark.sql.execution.metric.SQLMetric.toInfo(SQLMetrics.scala:67)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> 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$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.spark.sql.execution.ui.SQLListener.onTaskEnd(SQLListener.scala:216)
> at
> org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:45)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:63)
> at
> org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(LiveListenerBus.scala:94)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:78)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1268)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:77)
> 1
> MLlib recommendation algorithms: Spark package found in SPARK_HOME:
> C:\projects\spark\bin\..
> {code}
> {code}
> java.lang.IllegalStateException: SparkContext has been shutdown
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2015)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2044)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2063)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2088)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
> at
> org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2923)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at
[jira] [Updated] (SPARK-20666) Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
[
https://issues.apache.org/jira/browse/SPARK-20666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Shixiong Zhu updated SPARK-20666:
-
Affects Version/s: (was: 2.3.0)
2.2.0
> Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
> ---
>
> Key: SPARK-20666
> URL: https://issues.apache.org/jira/browse/SPARK-20666
> Project: Spark
> Issue Type: Bug
> Components: ML, Spark Core, SparkR
>Affects Versions: 2.2.0
>Reporter: Felix Cheung
>Assignee: Wenchen Fan
>Priority: Critical
> Fix For: 2.2.0
>
>
> seeing quite a bit of this on AppVeyor, aka Windows only,-> seems like in
> other test runs too, always only when running ML tests, it seems
> {code}
> Exception in thread "SparkListenerBus" java.lang.IllegalAccessError:
> Attempted to access garbage collected accumulator 159454
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:265)
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:261)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:261)
> at org.apache.spark.util.AccumulatorV2.name(AccumulatorV2.scala:88)
> at
> org.apache.spark.sql.execution.metric.SQLMetric.toInfo(SQLMetrics.scala:67)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> 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$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.spark.sql.execution.ui.SQLListener.onTaskEnd(SQLListener.scala:216)
> at
> org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:45)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:63)
> at
> org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(LiveListenerBus.scala:94)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:78)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1268)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:77)
> 1
> MLlib recommendation algorithms: Spark package found in SPARK_HOME:
> C:\projects\spark\bin\..
> {code}
> {code}
> java.lang.IllegalStateException: SparkContext has been shutdown
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2015)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2044)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2063)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2088)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
> at
> org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2923)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at org.apache.spark.sql.Dataset$$anonfun$57.apply(Dataset.scala:2907)
> at
>
[jira] [Updated] (SPARK-20666) Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
[
https://issues.apache.org/jira/browse/SPARK-20666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust updated SPARK-20666:
-
Target Version/s: 2.2.0
> Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
> ---
>
> Key: SPARK-20666
> URL: https://issues.apache.org/jira/browse/SPARK-20666
> Project: Spark
> Issue Type: Bug
> Components: ML, Spark Core, SparkR
>Affects Versions: 2.3.0
>Reporter: Felix Cheung
>Priority: Critical
>
> seeing quite a bit of this on AppVeyor, aka Windows only,-> seems like in
> other test runs too, always only when running ML tests, it seems
> {code}
> Exception in thread "SparkListenerBus" java.lang.IllegalAccessError:
> Attempted to access garbage collected accumulator 159454
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:265)
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:261)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:261)
> at org.apache.spark.util.AccumulatorV2.name(AccumulatorV2.scala:88)
> at
> org.apache.spark.sql.execution.metric.SQLMetric.toInfo(SQLMetrics.scala:67)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.spark.sql.execution.ui.SQLListener.onTaskEnd(SQLListener.scala:216)
> at
> org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:45)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:63)
> at
> org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(LiveListenerBus.scala:94)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:78)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1268)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:77)
> 1
> MLlib recommendation algorithms: Spark package found in SPARK_HOME:
> C:\projects\spark\bin\..
> {code}
> {code}
> java.lang.IllegalStateException: SparkContext has been shutdown
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2015)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2044)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2063)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2088)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
> at
> org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2923)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at org.apache.spark.sql.Dataset$$anonfun$57.apply(Dataset.scala:2907)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
> at
[jira] [Updated] (SPARK-20666) Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
[
https://issues.apache.org/jira/browse/SPARK-20666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Felix Cheung updated SPARK-20666:
-
Description:
seeing quite a bit of this on AppVeyor, aka Windows only,-> seems like in other
test runs too, always only when running ML tests, it seems
{code}
Exception in thread "SparkListenerBus" java.lang.IllegalAccessError: Attempted
to access garbage collected accumulator 159454
at
org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:265)
at
org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:261)
at scala.Option.map(Option.scala:146)
at
org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:261)
at org.apache.spark.util.AccumulatorV2.name(AccumulatorV2.scala:88)
at
org.apache.spark.sql.execution.metric.SQLMetric.toInfo(SQLMetrics.scala:67)
at
org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
at
org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
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$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at
org.apache.spark.sql.execution.ui.SQLListener.onTaskEnd(SQLListener.scala:216)
at
org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:45)
at
org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
at
org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
at
org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:63)
at
org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:36)
at
org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(LiveListenerBus.scala:94)
at
org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
at
org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:78)
at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1268)
at
org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:77)
1
MLlib recommendation algorithms: Spark package found in SPARK_HOME:
C:\projects\spark\bin\..
{code}
{code}
java.lang.IllegalStateException: SparkContext has been shutdown
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2015)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2044)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2063)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2088)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
at
org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
at
org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2923)
at
org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
at
org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
at org.apache.spark.sql.Dataset$$anonfun$57.apply(Dataset.scala:2907)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:2906)
at org.apache.spark.sql.Dataset.collect(Dataset.scala:2474)
at org.apache.spark.sql.api.r.SQLUtils$.dfToCols(SQLUtils.scala:173)
at org.apache.spark.sql.api.r.SQLUtils.dfToCols(SQLUtils.scala)
at sun.reflect.GeneratedMethodAccessor104.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
[jira] [Updated] (SPARK-20666) Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
[
https://issues.apache.org/jira/browse/SPARK-20666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin updated SPARK-20666:
---
Summary: Flaky test - SparkListenerBus randomly failing
java.lang.IllegalAccessError (was: Flaky test - SparkListenerBus randomly
failing java.lang.IllegalAccessError on Windows)
> Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
> ---
>
> Key: SPARK-20666
> URL: https://issues.apache.org/jira/browse/SPARK-20666
> Project: Spark
> Issue Type: Bug
> Components: ML, Spark Core, SparkR
>Affects Versions: 2.3.0
>Reporter: Felix Cheung
>Priority: Critical
>
> seeing quite a bit of this on AppVeyor, aka Windows only, always only when
> running ML tests, it seems
> {code}
> Exception in thread "SparkListenerBus" java.lang.IllegalAccessError:
> Attempted to access garbage collected accumulator 159454
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:265)
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:261)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:261)
> at org.apache.spark.util.AccumulatorV2.name(AccumulatorV2.scala:88)
> at
> org.apache.spark.sql.execution.metric.SQLMetric.toInfo(SQLMetrics.scala:67)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.spark.sql.execution.ui.SQLListener.onTaskEnd(SQLListener.scala:216)
> at
> org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:45)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:63)
> at
> org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(LiveListenerBus.scala:94)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:78)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1268)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:77)
> 1
> MLlib recommendation algorithms: Spark package found in SPARK_HOME:
> C:\projects\spark\bin\..
> {code}
> {code}
> java.lang.IllegalStateException: SparkContext has been shutdown
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2015)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2044)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2063)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2088)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
> at
> org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2923)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at
[jira] [Updated] (SPARK-20666) Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError on Windows
[
https://issues.apache.org/jira/browse/SPARK-20666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin updated SPARK-20666:
---
Priority: Critical (was: Major)
> Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
> on Windows
> --
>
> Key: SPARK-20666
> URL: https://issues.apache.org/jira/browse/SPARK-20666
> Project: Spark
> Issue Type: Bug
> Components: ML, Spark Core, SparkR
>Affects Versions: 2.3.0
>Reporter: Felix Cheung
>Priority: Critical
>
> seeing quite a bit of this on AppVeyor, aka Windows only, always only when
> running ML tests, it seems
> {code}
> Exception in thread "SparkListenerBus" java.lang.IllegalAccessError:
> Attempted to access garbage collected accumulator 159454
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:265)
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:261)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:261)
> at org.apache.spark.util.AccumulatorV2.name(AccumulatorV2.scala:88)
> at
> org.apache.spark.sql.execution.metric.SQLMetric.toInfo(SQLMetrics.scala:67)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.spark.sql.execution.ui.SQLListener.onTaskEnd(SQLListener.scala:216)
> at
> org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:45)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:63)
> at
> org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(LiveListenerBus.scala:94)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:78)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1268)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:77)
> 1
> MLlib recommendation algorithms: Spark package found in SPARK_HOME:
> C:\projects\spark\bin\..
> {code}
> {code}
> java.lang.IllegalStateException: SparkContext has been shutdown
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2015)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2044)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2063)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2088)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
> at
> org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2923)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at org.apache.spark.sql.Dataset$$anonfun$57.apply(Dataset.scala:2907)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
> at
[jira] [Updated] (SPARK-20666) Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError on Windows
[
https://issues.apache.org/jira/browse/SPARK-20666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Felix Cheung updated SPARK-20666:
-
Summary: Flaky test - SparkListenerBus randomly failing
java.lang.IllegalAccessError on Windows (was: Flaky test - SparkListenerBus
randomly failing on Windows)
> Flaky test - SparkListenerBus randomly failing java.lang.IllegalAccessError
> on Windows
> --
>
> Key: SPARK-20666
> URL: https://issues.apache.org/jira/browse/SPARK-20666
> Project: Spark
> Issue Type: Bug
> Components: ML, Spark Core, SparkR
>Affects Versions: 2.3.0
>Reporter: Felix Cheung
>
> seeing quite a bit of this on AppVeyor, aka Windows only, always only when
> running ML tests, it seems
> {code}
> Exception in thread "SparkListenerBus" java.lang.IllegalAccessError:
> Attempted to access garbage collected accumulator 159454
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:265)
> at
> org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:261)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:261)
> at org.apache.spark.util.AccumulatorV2.name(AccumulatorV2.scala:88)
> at
> org.apache.spark.sql.execution.metric.SQLMetric.toInfo(SQLMetrics.scala:67)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> at
> org.apache.spark.sql.execution.ui.SQLListener$$anonfun$onTaskEnd$1.apply(SQLListener.scala:216)
> 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$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.spark.sql.execution.ui.SQLListener.onTaskEnd(SQLListener.scala:216)
> at
> org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:45)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:36)
> at
> org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:63)
> at
> org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:36)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(LiveListenerBus.scala:94)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:79)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:78)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1268)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:77)
> 1
> MLlib recommendation algorithms: Spark package found in SPARK_HOME:
> C:\projects\spark\bin\..
> {code}
> {code}
> java.lang.IllegalStateException: SparkContext has been shutdown
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2015)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2044)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2063)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2088)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:275)
> at
> org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2923)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at
> org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2474)
> at org.apache.spark.sql.Dataset$$anonfun$57.apply(Dataset.scala:2907)
> at
>
