有人遇到过pyspark glue作业的linkedlist'removefirst'异常吗？

胶水作业配置：spark 2.4，glue 2.0 30 g.1x workers
我正在为大约1亿条记录的数据集运行pyspark胶水作业。在我的工作结束时，我用下面的代码将Dataframe发布到s3。sink.WriteName（）调用上发生错误：

logger.info(f"Publishing new records to silver bucket {S3_SILVER_BUCKET}.")
                dynamic_df_to_publish = DynamicFrame.fromDF(validated_df, glueContext, "silver_df_to_publish")
sink = glueContext.getSink(connection_type="s3", path=f"{S3_SILVER_BUCKET}",
                                           enableUpdateCatalog=True,
                                           partitionKeys=["record_type", "par_ts"])
sink.setFormat("glueparquet")
                sink.setCatalogInfo(catalogDatabase=CATALOG_DB_NAME,
catalogTableName=CATALOG_TABLE_NAME)
sink.writeFrame(dynamic_df_to_publish)
logger.info(f"Published {validated_df.count()} records to silver collection successfully")

下面是我遇到的stacktrace：

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2114)
    at com.amazonaws.services.glue.sinks.GlueParquetHadoopWriter.doParquetWrite(GlueParquetHadoopWriter.scala:181)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1$$anonfun$4.apply$mcV$sp(HadoopDataSink.scala:238)
    at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1$$anonfun$4.apply(HadoopDataSink.scala:230)
    at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1$$anonfun$4.apply(HadoopDataSink.scala:230)
    at scala.util.Try$.apply(Try.scala:192)
    at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1.apply(HadoopDataSink.scala:230)
    at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1.apply(HadoopDataSink.scala:148)
    at com.amazonaws.services.glue.util.FileSchemeWrapper$$anonfun$executeWithQualifiedScheme$1.apply(FileSchemeWrapper.scala:66)
    at com.amazonaws.services.glue.util.FileSchemeWrapper$$anonfun$executeWithQualifiedScheme$1.apply(FileSchemeWrapper.scala:66)
    at com.amazonaws.services.glue.util.FileSchemeWrapper.executeWith(FileSchemeWrapper.scala:58)
    at com.amazonaws.services.glue.util.FileSchemeWrapper.executeWithQualifiedScheme(FileSchemeWrapper.scala:66)
    at com.amazonaws.services.glue.sinks.HadoopDataSink.writeDynamicFrame(HadoopDataSink.scala:147)
    at com.amazonaws.services.glue.DataSink.pyWriteDynamicFrame(DataSink.scala:63)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.util.NoSuchElementException
    at java.util.LinkedList.removeFirst(LinkedList.java:270)
    at org.apache.spark.unsafe.map.BytesToBytesMap$MapIterator.handleFailedDelete(BytesToBytesMap.java:412)
    at org.apache.spark.unsafe.map.BytesToBytesMap$MapIterator.hasNext(BytesToBytesMap.java:317)
    at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap$1.next(UnsafeFixedWidthAggregationMap.java:179)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
    at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.hasNext(SerDeUtil.scala:153)
    at scala.collection.Iterator$class.foreach(Iterator.scala:891)
    at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:148)
    at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:224)
    at org.apache.spark.api.python.PythonRunner$$anon$2.writeIteratorToStream(PythonRunner.scala:557)
    at org.apache.spark.api.python.BasePythonRunner$WriterThread$$anonfun$run$1.apply(PythonRunner.scala:345)
    at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1945)
    at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:194)

Traceback (most recent call last): File "/tmp/app_and_web_silver_promotion_job.py", line 845, in <module> 'BRONZE_CATALOG_TABLE_NAME']) File "/tmp/app_and_web_silver_promotion_job.py", line 775, in run_job sink.writeFrame(dynamic_df_to_publish) File "/opt/amazon/lib/python3.6/site-packages/awsglue/data_sink.py", line 31, in writeFrame return DynamicFrame(self._jsink.pyWriteDynamicFrame(dynamic_frame._jdf, callsite(), info), dynamic_frame.glue_ctx, dynamic_frame.name + "_errors") File "/opt/amazon/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 "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco return f(*a,**kw) File "/opt/amazon/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 o620.pyWriteDynamicFrame. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 143 in stage 33.1 failed 4 times, most recent failure: Lost task 143.3 in stage 33.1 (TID 5036, 172.34.145.102, executor 12): java.util.NoSuchElementException at java.util.LinkedList.removeFirst(LinkedList.java:270) at org.apache.spark.unsafe.map.BytesToBytesMap$MapIterator.handleFailedDelete(BytesToBytesMap.java:412) at org.apache.spark.unsafe.map.BytesToBytesMap$MapIterator.hasNext(BytesToBytesMap.java:317) at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap$1.next(UnsafeFixedWidthAggregationMap.java:179) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.hasNext(SerDeUtil.scala:153) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:148) at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:224) at org.apache.spark.api.python.PythonRunner$$anon$2.writeIteratorToStream(PythonRunner.scala:557) at org.apache.spark.api.python.BasePythonRunner$WriterThread$$anonfun$run$1.apply(PythonRunner.scala:345) at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1945) at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:194) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2114) at com.amazonaws.services.glue.sinks.GlueParquetHadoopWriter.doParquetWrite(GlueParquetHadoopWriter.scala:181) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1$$anonfun$4.apply$mcV$sp(HadoopDataSink.scala:238) at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1$$anonfun$4.apply(HadoopDataSink.scala:230) at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1$$anonfun$4.apply(HadoopDataSink.scala:230) at scala.util.Try$.apply(Try.scala:192) at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1.apply(HadoopDataSink.scala:230) at com.amazonaws.services.glue.sinks.HadoopDataSink$$anonfun$writeDynamicFrame$1.apply(HadoopDataSink.scala:148) at com.amazonaws.services.glue.util.FileSchemeWrapper$$anonfun$executeWithQualifiedScheme$1.apply(FileSchemeWrapper.scala:66) at com.amazonaws.services.glue.util.FileSchemeWrapper$$anonfun$executeWithQualifiedScheme$1.apply(FileSchemeWrapper.scala:66) at com.amazonaws.services.glue.util.FileSchemeWrapper.executeWith(FileSchemeWrapper.scala:58) at com.amazonaws.services.glue.util.FileSchemeWrapper.executeWithQualifiedScheme(FileSchemeWrapper.scala:66) at com.amazonaws.services.glue.sinks.HadoopDataSink.writeDynamicFrame(HadoopDataSink.scala:147) at com.amazonaws.services.glue.DataSink.pyWriteDynamicFrame(DataSink.scala:63) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:748) Caused by: java.util.NoSuchElementException at java.util.LinkedList.removeFirst(LinkedList.java:270) at org.apache.spark.unsafe.map.BytesToBytesMap$MapIterator.handleFailedDelete(BytesToBytesMap.java:412) at org.apache.spark.unsafe.map.BytesToBytesMap$MapIterator.hasNext(BytesToBytesMap.java:317) at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap$1.next(UnsafeFixedWidthAggregationMap.java:179) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.hasNext(SerDeUtil.scala:153) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:148) at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:224) at org.apache.spark.api.python.PythonRunner$$anon$2.writeIteratorToStream(PythonRunner.scala:557) at org.apache.spark.api.python.BasePythonRunner$WriterThread$$anonfun$run$1.apply(PythonRunner.scala:345) at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1945) at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:194)

有人遇到过pyspark glue作业的linkedlist'removefirst'异常吗？

暂无答案！

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