Python Pyspark-随着数据帧变大而崩溃

我有一个脚本，在这一行之前运行良好：

df_3=df_2.groupBy（“id”）.pivot（“key”）.agg（collect_list（“value”）。选择（'col1'，'col2'）

该问题是由

pivot

引起的

java.lang.NullPointerException

。我相信

df_2

大约有600K行，只有几列，如果我在前面添加这一行，它会起作用：

df_2=df_2.限值（27000）

但任何更高的值都会导致空指针异常。为什么会这样？我原以为60万行不会是一个大数据帧，但一旦超过27万行，它似乎就崩溃了

下面是它的代码：

parse_xml_udf = udf(parse_xml, ArrayType(MapType(StringType(),StringType())))
parsed_df = xml_df.withColumn('parsed_xml', parse_xml_udf(xml_df['xml_strs']))

df_1 = parsed_df.withColumn('exploded_arr',explode('parsed_xml')) 
df_2 = df_1.select(explode('exploded_arr'),*df_1.columns)

完整堆栈跟踪：

20/07/07 10:46:08 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 1.0 (TID 2, _, executor 2): java.lang.NullPointerException
        at org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter.write(UnsafeRowWriter.java:210)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
        at org.apache.spark.sql.execution.GenerateExec$$anonfun$doExecute$1$$anonfun$apply$9.apply(GenerateExec.scala:111)
        at org.apache.spark.sql.execution.GenerateExec$$anonfun$doExecute$1$$anonfun$apply$9.apply(GenerateExec.scala:109)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
        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)

20/07/07 10:46:08 INFO scheduler.TaskSetManager: Starting task 0.1 in stage 1.0 (TID 4, _, executor 2, partition 0, PROCESS_LOCAL, 19119331 bytes)
20/07/07 10:46:11 INFO scheduler.TaskSetManager: Lost task 1.0 in stage 1.0 (TID 3) on _, executor 1: java.lang.NullPointerException (null) [duplicate 1]
20/07/07 10:46:11 INFO scheduler.TaskSetManager: Starting task 1.1 in stage 1.0 (TID 5, _,executor 1, partition 1, PROCESS_LOCAL, 19064182 bytes)
20/07/07 10:46:12 INFO scheduler.TaskSetManager: Lost task 0.1 in stage 1.0 (TID 4) on _, executor 2: java.lang.NullPointerException (null) [duplicate 2]
20/07/07 10:46:12 INFO scheduler.TaskSetManager: Starting task 0.2 in stage 1.0 (TID 6, _, executor 2, partition 0, PROCESS_LOCAL, 19119331 bytes)
20/07/07 10:46:15 INFO scheduler.TaskSetManager: Lost task 1.1 in stage 1.0 (TID 5) on _, executor 1: java.lang.NullPointerException (null) [duplicate 3]
20/07/07 10:46:15 INFO scheduler.TaskSetManager: Starting task 1.2 in stage 1.0 (TID 7, _, executor 1, partition 1, PROCESS_LOCAL, 19064182 bytes)
20/07/07 10:46:15 INFO scheduler.TaskSetManager: Lost task 0.2 in stage 1.0 (TID 6) on _, executor 2: java.lang.NullPointerException (null) [duplicate 4]
20/07/07 10:46:15 INFO scheduler.TaskSetManager: Starting task 0.3 in stage 1.0 (TID 8, _, executor 2, partition 0, PROCESS_LOCAL, 19119331 bytes)
20/07/07 10:46:17 INFO scheduler.TaskSetManager: Lost task 1.2 in stage 1.0 (TID 7) on _, executor 1: java.lang.NullPointerException (null) [duplicate 5]
20/07/07 10:46:18 INFO scheduler.TaskSetManager: Starting task 1.3 in stage 1.0 (TID 9, _, executor 1, partition 1, PROCESS_LOCAL, 19064182 bytes)
20/07/07 10:46:18 INFO scheduler.TaskSetManager: Lost task 0.3 in stage 1.0 (TID 8) on _, executor 2: java.lang.NullPointerException (null) [duplicate 6]
20/07/07 10:46:18 ERROR scheduler.TaskSetManager: Task 0 in stage 1.0 failed 4 times; aborting job
20/07/07 10:46:18 INFO cluster.YarnScheduler: Cancelling stage 1
20/07/07 10:46:18 INFO cluster.YarnScheduler: Stage 1 was cancelled
20/07/07 10:46:18 INFO scheduler.DAGScheduler: ShuffleMapStage 1 (pivot at NativeMethodAccessorImpl.java:0) failed in 16.373 s due to Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 8, _, executor 2): java.lang.NullPointerException

Driver stacktrace:
20/07/07 10:46:18 INFO scheduler.DAGScheduler: Job 1 failed: pivot at NativeMethodAccessorImpl.java:0, took 16.448475 s
20/07/07 10:46:18 WARN spark.ExecutorAllocationManager: No stages are running, but numRunningTasks != 0
Traceback (most recent call last):
  File "_", line 74, in <module>
    df_3 = df_2.groupBy("id").pivot("key").agg(collect_list("value")).select('col1','col2')
  File "_/lib/spark2/python/lib/pyspark.zip/pyspark/sql/group.py", line 192, in pivot
  File "_/lib/spark2/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
  File "_/lib/spark2/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
  File "_/lib/spark2/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o94.pivot.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 8, _, executor 2): java.lang.NullPointerException

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:935)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:934)
        at org.apache.spark.RangePartitioner$.sketch(Partitioner.scala:266)
        at org.apache.spark.RangePartitioner.<init>(Partitioner.scala:128)
        at org.apache.spark.sql.execution.exchange.ShuffleExchange$.prepareShuffleDependency(ShuffleExchange.scala:218)
        at org.apache.spark.sql.execution.exchange.ShuffleExchange.prepareShuffleDependency(ShuffleExchange.scala:84)
        at org.apache.spark.sql.execution.exchange.ShuffleExchange$$anonfun$doExecute$1.apply(ShuffleExchange.scala:121)
        at org.apache.spark.sql.execution.exchange.ShuffleExchange$$anonfun$doExecute$1.apply(ShuffleExchange.scala:112)
        at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
        at org.apache.spark.sql.execution.exchange.ShuffleExchange.doExecute(ShuffleExchange.scala:112)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
        at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
        at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:235)
        at org.apache.spark.sql.execution.SortExec.inputRDDs(SortExec.scala:121)
        at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:368)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
        at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
        at org.apache.spark.sql.execution.DeserializeToObjectExec.doExecute(objects.scala:90)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
        at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
        at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:87)
        at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:87)
        at org.apache.spark.sql.Dataset.rdd$lzycompute(Dataset.scala:2547)
        at org.apache.spark.sql.Dataset.rdd(Dataset.scala:2544)
        at org.apache.spark.sql.RelationalGroupedDataset.pivot(RelationalGroupedDataset.scala:321)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:280)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:214)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.NullPointerException

20/07/07 10:46:08警告调度程序.TaskSetManager:在阶段1.0中丢失了任务0.0（TID 2，执行器2）：java.lang.NullPointerException
位于org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter.write（UnsafeRowWriter.java:210）
位于org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply（未知源）
位于org.apache.spark.sql.execution.GenerateExec$$anonfun$doExecute$1$$anonfun$apply$9.apply（GenerateExec.scala:111）
位于org.apache.spark.sql.execution.GenerateExec$$anonfun$doExecute$1$$anonfun$apply$9.apply（GenerateExec.scala:109）
位于scala.collection.Iterator$$anon$11.next（Iterator.scala:409）
位于org.apache.spark.sql.catalyst.expressions.GenerateClass$GenerateEditor.agg_doAggregateWithKeys$（未知源）
位于org.apache.spark.sql.catalyst.expressions.GeneratedClass$GenerateEditor.processNext（未知源）
位于org.apache.spark.sql.execution.BufferedRowIterator.hasNext（BufferedRowIterator.java:43）
位于org.apache.spark.sql.execution.whisttagecodegenexec$$anonfun$8$$anon$1.hasNext（whisttagecodegenexec.scala:377）
位于scala.collection.Iterator$$anon$11.hasNext（Iterator.scala:408）
位于org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write（BypassMergeSortShuffleWriter.java:126）
在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala:96）上
在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala:53）上
位于org.apache.spark.scheduler.Task.run（Task.scala:99）
位于org.apache.spark.executor.executor$TaskRunner.run（executor.scala:322）
位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1149）
位于java.util.concurrent.ThreadPoolExecutor$Worker.run（ThreadPoolExecutor.java:624）
运行（Thread.java:748）
20/07/07 10:46:08 INFO scheduler.TaskSetManager:在阶段1.0中启动任务0.1（TID 4，执行器2，分区0，进程本地，19119331字节）
20/07/07 10:46:11 INFO scheduler.TaskSetManager:在第1.0阶段（TID 3）中丢失了任务1.0，执行器1:java.lang.NullPointerException（null）[重复1]
20/07/07 10:46:11 INFO scheduler.TaskSetManager:在阶段1.0中启动task 1.1（TID 5，执行器1，分区1，进程本地，19064182字节）
20/07/07 10:46:12 INFO scheduler.TaskSetManager:在第1.0阶段（TID 4）中丢失了任务0.1，执行器2:java.lang.NullPointerException（null）[重复2]
20/07/07 10:46:12 INFO scheduler.TaskSetManager:在阶段1.0中启动任务0.2（TID 6，执行器2，分区0，进程本地，19119331字节）
20/07/07 10:46:15 INFO scheduler.TaskSetManager:在第1.0阶段（TID 5）中丢失了任务1.1，执行器1:java.lang.NullPointerException（null）[重复3]
20/07/07 10:46:15 INFO scheduler.TaskSetManager:在阶段1.0中启动任务1.2（TID 7，执行器1，分区1，进程本地，19064182字节）
20/07/07 10:46:15 INFO scheduler.TaskSetManager:在第1.0阶段（TID 6）中丢失了任务0.2，执行器2:java.lang.NullPointerException（null）[重复4]
20/07/07 10:46:15 INFO scheduler.TaskSetManager:在阶段1.0中启动任务0.3（TID 8，_，执行器2，分区0，进程_本地，19119331字节）
20/07/07 10:46:17 INFO scheduler.TaskSetManager:在第1.0阶段（TID 7）中丢失了任务1.2，执行器1:java.lang.NullPointerException（null）[重复5]
20/07/07 10:46:18 INFO scheduler.TaskSetManager:在阶段1.0中启动任务1.3（TID 9，执行器1，分区1，进程本地，19064182字节）
20/07/07 10:46:18 INFO scheduler.TaskSetManager:在第1.0阶段（TID 8）中丢失了任务0.3，执行器2:java.lang.NullPointerException（null）[重复6]
20/07/07 10:46:18错误调度程序。TaskSetManager:阶段1.0中的任务0失败4次；中止工作
20/07/07 10:46:18 INFO cluster.YarnScheduler:取消第一阶段
20/07/07 10:46:18 INFO cluster.YarnScheduler:第一阶段取消
20/07/07 10:46:18 INFO scheduler.DAGScheduler:ShuffleMapStage 1（NativeMethodAccessorImpl.java:0处的pivot）在16.373秒内失败，原因是由于阶段失败导致作业中止：阶段1.0中的任务0失败4次，最近的失败：阶段1.0中的任务0.3丢失（TID 8，0，执行者2）：java.lang.NullPointerException
驱动程序堆栈跟踪：
20/07/07 10:46:18 INFO scheduler.DAGScheduler:作业1失败：NativeMethodAccessorImpl的透视。java:0，耗时16.448475秒
20/07/07 10:46:18警告spark.ExecutionAllocationManager:没有任何阶段正在运行，但numRunningTasks！=0
回溯（最近一次呼叫最后一次）：
第74行中的文件“u”
df_3=df_2.groupBy（“id”）.pivot（“key”）.agg（collect_list（“value”）.select（'col1'，'col2'））
pivot中第192行的文件“u3;/lib/spark2/python/lib/pyspark.zip/pyspark/sql/group.py”
文件“u/lib/spark2/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py”，第1133行，在u调用中__
文件“u/lib/spark2/python/lib/pyspark.zip/pyspark/sql/utils.py”，第63行，deco格式
文件“u/lib/spark2/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py”，第319行，在get_return_值中
py4j.protocol.Py4JJavaError:调用o94.pivot时出错。
：org.apache.spark.SparkException:作业因阶段失败而中止：阶段1.0中的任务0失败了4次，最近的失败：阶段1.0中的任务0.3丢失（TID 8，_，执行器2）：java.lang.NullPointerException
驱动程序堆栈跟踪：