我在手动创建的Dataframe上执行操作时出现Pyspark错误

Question

我有一个字符串的python列表。我使用以下代码创建了一个数据框：

await Task.WhenAll

其中，temp是字符串列表。 此步骤已成功执行。

当我尝试对skills_df = spark.createDataFrame(temp, StringType()) skills_df进行任何操作时，它会给我一个错误。它发生在这个数据帧中。但是，不是我通过导入csv文件创建的数据框，即skills_df.count()。 我使用csv_df = spark.read.csv('/user/turing/Profiles_final.csv', header=True)运行了这个。在调试时，我在spark-submit中运行了相同的代码，我得到了同样的错误。但是，当我执行pyspark时，即使发生错误，也可以正常运行。 请帮我解决这个错误。以下是堆栈跟踪：

csv_df.count()

火花正在谷歌云数据集群上运行。 感谢。

编辑1：

以下是临时变量及其值：

18/04/26 07:05:10 WARN org.apache.spark.scheduler.TaskSetManager: Stage 14 contains a task of very large size (215 KB). The maximum recommended task size is 100 KB. 18/04/26 07:05:11 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 2.0 in stage 14.0 (TID 658, spark-w-1.c.amulya.internal, executor 2): java.io.IOException: Cannot run program "/opt/conda/bin/python": error=2, No such file or directory at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048) at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163) at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117) at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) 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:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: java.io.IOException: error=2, No such file or directory at java.lang.UNIXProcess.forkAndExec(Native Method) at java.lang.UNIXProcess.<init>(UNIXProcess.java:247) at java.lang.ProcessImpl.start(ProcessImpl.java:134) at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029) ... 33 more 18/04/26 07:05:11 ERROR org.apache.spark.scheduler.TaskSetManager: Task 2 in stage 14.0 failed 4 times; aborting job 18/04/26 07:05:11 WARN org.apache.spark.ExecutorAllocationManager: No stages are running, but numRunningTasks != 0 Traceback (most recent call last): File "/home/turing/mi/sample_job.py", line 95, in <module> skills = processing_methods.get_skills(company, position, company_df) File "/home/turing/mi/sample_job.py", line 72, in get_skills return skills_df.groupBy('value').count().head(5) File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 972, in head File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 476, in take File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 438, in collect File "/usr/lib/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__ File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco File "/usr/lib/spark/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 o134.collectToPython. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 14.0 failed 4 times, most recent failure: Lost task 2.3 in stage 14.0 (TID 667, spark-w-1.c.amulya.internal, executor 2): java.io.IOException: Cannot run program "/opt/conda/bin/python": error=2, No such file or directory at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048) at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163) at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117) at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) 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:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: java.io.IOException: error=2, No such file or directory at java.lang.UNIXProcess.forkAndExec(Native Method) at java.lang.UNIXProcess.<init>(UNIXProcess.java:247) at java.lang.ProcessImpl.start(ProcessImpl.java:134) at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029) ... 33 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1517) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1505) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1504) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1504) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1732) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1687) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1676) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2029) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2050) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2069) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:336) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38) at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply$mcI$sp(Dataset.scala:2808) at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2805) at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2805) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65) at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2828) at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:2805) 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: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:748) Caused by: java.io.IOException: Cannot run program "/opt/conda/bin/python": error=2, No such file or directory at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048) at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163) at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117) at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) 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:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ... 1 more Caused by: java.io.IOException: error=2, No such file or directory at java.lang.UNIXProcess.forkAndExec(Native Method) at java.lang.UNIXProcess.<init>(UNIXProcess.java:247) at java.lang.ProcessImpl.start(ProcessImpl.java:134) at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029) ... 33 more 18/04/26 07:05:11 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 14.0 (TID 656, spark-w-0.c.amulya.internal, executor 4): TaskKilled (stage cancelled) 18/04/26 07:05:11 INFO org.spark_project.jetty.server.AbstractConnector: Stopped Spark@3af4a719{HTTP/1.1,[http/1.1]}{0.0.0.0:4040} 18/04/26 07:05:11 WARN org.apache.spark.rpc.netty.Dispatcher: Message RemoteProcessDisconnected(10.138.0.6:39486) dropped. Could not find OutputCommitCoordinator.

Answer 1

初始化操作需要在群集的所有节点上运行，而不仅仅是主节点。驱动程序已成功启动，因为您已在主服务器上运行init操作，但执行程序上的作业失败，因为它们没有安装Conda。

通常，您不应手动运行初始化操作。例如。如果稍后将节点添加到群集，则还需要在新节点上运行脚本。但是，如果在创建集群时指定初始化操作，Dataproc将为您处理该操作。

您可以通过Web控制台指定init操作：

请注意，如果要为init操作指定元数据（标志），例如要安装的conda包，则需要使用gcloud。最简单的方法是从创建集群页面底部的“等效命令行”开始。

通常，如果您想要添加init操作或添加标志，我建议删除并重新创建群集。如果您的输入数据位于群集外部（例如云存储），这一点尤为简单。