[ https://issues.apache.org/jira/browse/SPARK-25473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-25473: ------------------------------------ Assignee: Apache Spark > PySpark ForeachWriter test fails on Python 3.6 and macOS High Serria > -------------------------------------------------------------------- > > Key: SPARK-25473 > URL: https://issues.apache.org/jira/browse/SPARK-25473 > Project: Spark > Issue Type: Bug > Components: PySpark, Structured Streaming > Affects Versions: 2.4.0 > Reporter: Hyukjin Kwon > Assignee: Apache Spark > Priority: Major > > {code} > PYSPARK_PYTHON=python3.6 SPARK_TESTING=1 ./bin/pyspark pyspark.sql.tests > SQLTests > {code} > {code} > Setting default log level to "WARN". > To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use > setLogLevel(newLevel). > /usr/local/Cellar/python/3.6.5/Frameworks/Python.framework/Versions/3.6/lib/python3.6/subprocess.py:766: > ResourceWarning: subprocess 27563 is still running > ResourceWarning, source=self) > [Stage 0:> (0 + 1) / > 1]objc[27586]: +[__NSPlaceholderDictionary initialize] may have been in > progress in another thread when fork() was called. > objc[27586]: +[__NSPlaceholderDictionary initialize] may have been in > progress in another thread when fork() was called. We cannot safely call it > or ignore it in the fork() child process. Crashing instead. Set a breakpoint > on objc_initializeAfterForkError to debug. > ERROR > ====================================================================== > ERROR: test_streaming_foreach_with_simple_function > (pyspark.sql.tests.SQLTests) > ---------------------------------------------------------------------- > Traceback (most recent call last): > File "/.../spark/python/pyspark/sql/utils.py", line 63, in deco > return f(*a, **kw) > File "/.../spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line > 328, in get_return_value > format(target_id, ".", name), value) > py4j.protocol.Py4JJavaError: An error occurred while calling > o54.processAllAvailable. > : org.apache.spark.sql.streaming.StreamingQueryException: Writing job aborted. > === Streaming Query === > Identifier: [id = f508d634-407c-4232-806b-70e54b055c42, runId = > 08d1435b-5358-4fb6-b167-811584a3163e] > Current Committed Offsets: {} > Current Available Offsets: > {FileStreamSource[file:/var/folders/71/484zt4z10ks1vydt03bhp6hr0000gp/T/tmpolebys1s]: > {"logOffset":0}} > Current State: ACTIVE > Thread State: RUNNABLE > Logical Plan: > FileStreamSource[file:/var/folders/71/484zt4z10ks1vydt03bhp6hr0000gp/T/tmpolebys1s] > 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:189) > Caused by: org.apache.spark.SparkException: Writing job aborted. > at > org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2Exec.scala:91) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) > at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) > at > org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247) > at > org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:294) > at > org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3384) > at > org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2783) > at > org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2783) > at org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3365) > at > org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78) > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73) > at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364) > at org.apache.spark.sql.Dataset.collect(Dataset.scala:2783) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$5$$anonfun$apply$18.apply(MicroBatchExecution.scala:538) > at > org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78) > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$5.apply(MicroBatchExecution.scala:533) > at > org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:323) > at > org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch(MicroBatchExecution.scala:532) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:195) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:163) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:163) > at > org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:323) > at > org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:163) > at > org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:157) > at > org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279) > ... 1 more > Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: > Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in > stage 0.0 (TID 0, localhost, executor driver): > org.apache.spark.SparkException: Python worker exited unexpectedly (crashed) > at > org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$3.applyOrElse(PythonRunner.scala:485) > at > org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$3.applyOrElse(PythonRunner.scala:474) > at > scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) > at > org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:592) > at > org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:570) > at > org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:404) > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) > at > org.apache.spark.sql.execution.python.PythonForeachWriter.close(PythonForeachWriter.scala:66) > at > org.apache.spark.sql.execution.streaming.sources.ForeachDataWriter.commit(ForeachWriteSupportProvider.scala:130) > at > org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$$anonfun$run$3.apply(WriteToDataSourceV2Exec.scala:125) > at > org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$$anonfun$run$3.apply(WriteToDataSourceV2Exec.scala:114) > at > org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1381) > at > org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:144) > at > org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec$$anonfun$doExecute$2.apply(WriteToDataSourceV2Exec.scala:66) > at > org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec$$anonfun$doExecute$2.apply(WriteToDataSourceV2Exec.scala:65) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > at org.apache.spark.scheduler.Task.run(Task.scala:121) > at > org.apache.spark.executor.Executor$TaskRunner$$anonfun$8.apply(Executor.scala:372) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1347) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:378) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > Caused by: java.io.EOFException > at java.io.DataInputStream.readInt(DataInputStream.java:392) > at > org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:577) > ... 19 more > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1882) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1870) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1869) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1869) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:929) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:929) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:929) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2103) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2052) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2041) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:740) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2073) > at > org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2Exec.scala:63) > ... 35 more > Caused by: org.apache.spark.SparkException: Python worker exited unexpectedly > (crashed) > at > org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$3.applyOrElse(PythonRunner.scala:485) > at > org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$3.applyOrElse(PythonRunner.scala:474) > at > scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) > at > org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:592) > at > org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:570) > at > org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:404) > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) > at > org.apache.spark.sql.execution.python.PythonForeachWriter.close(PythonForeachWriter.scala:66) > at > org.apache.spark.sql.execution.streaming.sources.ForeachDataWriter.commit(ForeachWriteSupportProvider.scala:130) > at > org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$$anonfun$run$3.apply(WriteToDataSourceV2Exec.scala:125) > at > org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$$anonfun$run$3.apply(WriteToDataSourceV2Exec.scala:114) > at > org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1381) > at > org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:144) > at > org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec$$anonfun$doExecute$2.apply(WriteToDataSourceV2Exec.scala:66) > at > org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec$$anonfun$doExecute$2.apply(WriteToDataSourceV2Exec.scala:65) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > at org.apache.spark.scheduler.Task.run(Task.scala:121) > at > org.apache.spark.executor.Executor$TaskRunner$$anonfun$8.apply(Executor.scala:372) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1347) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:378) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > Caused by: java.io.EOFException > at java.io.DataInputStream.readInt(DataInputStream.java:392) > at > org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:577) > ... 19 more > During handling of the above exception, another exception occurred: > Traceback (most recent call last): > File "/.../spark/python/pyspark/sql/tests.py", line 1977, in > test_streaming_foreach_with_simple_function > tester.run_streaming_query_on_writer(foreach_func, 2) > File "/.../spark/python/pyspark/sql/tests.py", line 1924, in > run_streaming_query_on_writer > sq.processAllAvailable() > File "/.../spark/python/pyspark/sql/streaming.py", line 146, in > processAllAvailable > return self._jsq.processAllAvailable() > File "/.../spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line > 1257, in __call__ > answer, self.gateway_client, self.target_id, self.name) > File "/...d/spark/python/pyspark/sql/utils.py", line 75, in deco > raise StreamingQueryException(s.split(': ', 1)[1], stackTrace) > pyspark.sql.utils.StreamingQueryException: 'Writing job aborted.\n=== > Streaming Query ===\nIdentifier: [id = f508d634-407c-4232-806b-70e54b055c42, > runId = 08d1435b-5358-4fb6-b167-811584a3163e]\nCurrent Committed Offsets: > {}\nCurrent Available Offsets: > {FileStreamSource[file:/var/folders/71/484zt4z10ks1vydt03bhp6hr0000gp/T/tmpolebys1s]: > {"logOffset":0}}\n\nCurrent State: ACTIVE\nThread State: RUNNABLE\n\nLogical > Plan:\nFileStreamSource[file:/var/folders/71/484zt4z10ks1vydt03bhp6hr0000gp/T/tmpolebys1s]' > ---------------------------------------------------------------------- > Ran 1 test in 8.268s > FAILED (errors=1) > {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