[
https://issues.apache.org/jira/browse/SPARK-27234?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mark Hamilton updated SPARK-27234:
----------------------------------
Description:
Heres a repro:
{code:java}
from pyspark.sql.functions import col, udf
fooUDF = udf(lambda p: "foo")
spark \
.readStream \
.format("rate") \
.load()\
.withColumn("foo", fooUDF(col("value")))\
.writeStream\
.format("console")\
.trigger(continuous="1 second").start() {code}
Error Message (All that Azure Databricks prints):
{code:java}
at
org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:62)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:143)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$5.apply(SparkPlan.scala:183)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:180)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:131) at
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:114)
at
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:114)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3$$anonfun$apply$1.apply(ContinuousExecution.scala:273)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3$$anonfun$apply$1.apply(ContinuousExecution.scala:269)
at
org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:92)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:233)
at
org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:86)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:163)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3.apply(ContinuousExecution.scala:269)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3.apply(ContinuousExecution.scala:269)
at
org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:251)
at
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:61)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:267)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:93)
at
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:295)
at
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:205)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 4 in stage 0.0 failed 4 times, most recent failure: Lost task 4.3 in stage
0.0 (TID 9, 10.139.64.4, executor 0):
org.apache.spark.sql.execution.streaming.continuous.ContinuousTaskRetryException:
Continuous execution does not support task retry at
org.apache.spark.sql.execution.streaming.continuous.ContinuousDataSourceRDD.compute(ContinuousDataSourceRDD.scala:68)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply$mcV$sp(ContinuousWriteRDD.scala:52)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1466)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD.compute(ContinuousWriteRDD.scala:76)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at
org.apache.spark.scheduler.Task.doRunTask(Task.scala:139) at
org.apache.spark.scheduler.Task.run(Task.scala:112) at
org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:496)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1432) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:502) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748) Driver stacktrace: at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2098)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2086)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2085)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2085) at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1076)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1076)
at scala.Option.foreach(Option.scala:257) at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1076)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2317)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2265)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2253)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:873) at
org.apache.spark.SparkContext.runJob(SparkContext.scala:2251) at
org.apache.spark.SparkContext.runJob(SparkContext.scala:2273) at
org.apache.spark.SparkContext.runJob(SparkContext.scala:2292) at
org.apache.spark.SparkContext.runJob(SparkContext.scala:2317) at
org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:961) at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:379) at
org.apache.spark.rdd.RDD.collect(RDD.scala:960) at
org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:53)
... 22 more Caused by:
org.apache.spark.sql.execution.streaming.continuous.ContinuousTaskRetryException:
Continuous execution does not support task retry at
org.apache.spark.sql.execution.streaming.continuous.ContinuousDataSourceRDD.compute(ContinuousDataSourceRDD.scala:68)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply$mcV$sp(ContinuousWriteRDD.scala:52)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1466)
at
org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD.compute(ContinuousWriteRDD.scala:76)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at
org.apache.spark.scheduler.Task.doRunTask(Task.scala:139) at
org.apache.spark.scheduler.Task.run(Task.scala:112) at
org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:496)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1432) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:502) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
was:
Heres a repro
get_p_eng = udf(lambda p: "foo")
df = spark \
.readStream \
.format("rate") \
.load()\
.withColumn("p_eng", get_p_eng(col("value")))\
.makeReply("p_eng")
df.isStreaming # Returns True for DataFrames that have streaming sources
df.printSchema
# Read all the csv files written atomically in a directory
df.writeStream.format("console").trigger(continuous="1 second").start()
> Continuous Streaming does not support python UDFs
> -------------------------------------------------
>
> Key: SPARK-27234
> URL: https://issues.apache.org/jira/browse/SPARK-27234
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.4.0
> Environment: Azure Databricks 5.1
> Reporter: Mark Hamilton
> Priority: Major
>
> Heres a repro:
> {code:java}
> from pyspark.sql.functions import col, udf
> fooUDF = udf(lambda p: "foo")
> spark \
> .readStream \
> .format("rate") \
> .load()\
> .withColumn("foo", fooUDF(col("value")))\
> .writeStream\
> .format("console")\
> .trigger(continuous="1 second").start() {code}
> Error Message (All that Azure Databricks prints):
>
> {code:java}
> at
> org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:62)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:143)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$5.apply(SparkPlan.scala:183)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:180) at
> org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:131) at
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:114)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:114)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3$$anonfun$apply$1.apply(ContinuousExecution.scala:273)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3$$anonfun$apply$1.apply(ContinuousExecution.scala:269)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:92)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:233)
> at
> org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:86)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:163)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3.apply(ContinuousExecution.scala:269)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3.apply(ContinuousExecution.scala:269)
> at
> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:251)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:61)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:267)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:93)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:295)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:205)
> Caused by: org.apache.spark.SparkException: Job aborted due to stage
> failure: Task 4 in stage 0.0 failed 4 times, most recent failure: Lost task
> 4.3 in stage 0.0 (TID 9, 10.139.64.4, executor 0):
> org.apache.spark.sql.execution.streaming.continuous.ContinuousTaskRetryException:
> Continuous execution does not support task retry at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousDataSourceRDD.compute(ContinuousDataSourceRDD.scala:68)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply$mcV$sp(ContinuousWriteRDD.scala:52)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
> at
> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1466)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD.compute(ContinuousWriteRDD.scala:76)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at
> org.apache.spark.scheduler.Task.doRunTask(Task.scala:139) at
> org.apache.spark.scheduler.Task.run(Task.scala:112) at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:496)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1432) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:502) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748) Driver stacktrace: at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2098)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2086)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2085)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2085)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1076)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1076)
> at scala.Option.foreach(Option.scala:257) at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1076)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2317)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2265)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2253)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:873) at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2251) at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2273) at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2292) at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2317) at
> org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:961) at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:379) at
> org.apache.spark.rdd.RDD.collect(RDD.scala:960) at
> org.apache.spark.sql.execution.streaming.continuous.WriteToContinuousDataSourceExec.doExecute(WriteToContinuousDataSourceExec.scala:53)
> ... 22 more Caused by:
> org.apache.spark.sql.execution.streaming.continuous.ContinuousTaskRetryException:
> Continuous execution does not support task retry at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousDataSourceRDD.compute(ContinuousDataSourceRDD.scala:68)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60) at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply$mcV$sp(ContinuousWriteRDD.scala:52)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD$$anonfun$compute$1.apply(ContinuousWriteRDD.scala:51)
> at
> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1466)
> at
> org.apache.spark.sql.execution.streaming.continuous.ContinuousWriteRDD.compute(ContinuousWriteRDD.scala:76)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:340) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:304) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at
> org.apache.spark.scheduler.Task.doRunTask(Task.scala:139) at
> org.apache.spark.scheduler.Task.run(Task.scala:112) at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:496)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1432) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:502) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> {code}
>
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
