pyspark:调用o43.collectasarrowtopython时出错

eyh26e7m  于 2021-05-17  发布在  Spark
关注(0)|答案(0)|浏览(351)

我正在尝试解决aws sagemaker中本地spark环境中的一个bug，我认为这个bug可以归结为版本问题。运行 pyarrow.py spark repo的例子把错误放在了文章的底部。
我已经测试过用这种方法创建sparkDataframe并执行转换，这些都很好。只有当转换回Pandas时，错误才会弹出。
我的环境：

java-1.8.0-openjdk
pandas==1.1.4
pyspark==2.3.4
pyarrow==0.17.1

我的代码：

def get_spark_config():
    os.environ['JAVA_HOME'] = 'path_to_openjdk'
    return SparkConf()\
        .setAppName("appName")\
        .setMaster('local[*]')\
        .set("spark.jars.packages", "org.apache.hadoop:hadoop-aws:2.7.2")\
        .set("spark.sql.execution.arrow.enabled", "True")\

def get_spark_context(conf):
    return SparkContext(conf=conf)

def get_sql_context(sc):
    return SQLContext(sc)

def simple_spark():
    conf = get_spark_config()
    sc = get_spark_context(conf)
    sql_ctx = get_sql_context(sc)

    ### Begin code from Spark repo ###
    # Generate a Pandas DataFrame
    pdf = pd.DataFrame(np.random.rand(100, 3))

    # Create a Spark DataFrame from a Pandas DataFrame using Arrow
    df = sql_ctx.createDataFrame(pdf)

    # Convert the Spark DataFrame back to a Pandas DataFrame using Arrow
    result_pdf = df.select("*").toPandas()

    return result_pdf

if __name__ == "__main__":
    simple_spark()

错误：

RuntimeError                              Traceback (most recent call last)
<ipython-input-2-e83fbd1bb421> in <module>
----> 1 simple_spark()
    645 
    646     # Convert the Spark DataFrame back to a Pandas DataFrame using Arrow
--> 647     result_pdf = df.select("*").toPandas()
    648 
    649     return result_pdf

~/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/pyspark/sql/dataframe.py in toPandas(self)
   1964                     "'spark.sql.execution.arrow.enabled' is set to true. Please set it to false "
   1965                     "to disable this.")
-> 1966                 raise RuntimeError("%s\n%s" % (_exception_message(e), msg))
   1967         else:
   1968             pdf = pd.DataFrame.from_records(self.collect(), columns=self.columns)

RuntimeError: An error occurred while calling o43.collectAsArrowToPython.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 7 in stage 0.0 failed 1 times, most recent failure: Lost task 7.0 in stage 0.0 (TID 7, localhost, executor driver): java.lang.NullPointerException
        at org.apache.arrow.vector.ipc.message.MessageSerializer.deserializeRecordBatch(MessageSerializer.java:256)
        at org.apache.arrow.vector.ipc.message.MessageSerializer.deserializeRecordBatch(MessageSerializer.java:242)
        at org.apache.arrow.vector.ipc.ArrowFileReader.readRecordBatch(ArrowFileReader.java:162)
        at org.apache.arrow.vector.ipc.ArrowFileReader.loadNextBatch(ArrowFileReader.java:113)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$1.nextBatch(ArrowConverters.scala:170)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$1.<init>(ArrowConverters.scala:138)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$.fromPayloadIterator(ArrowConverters.scala:135)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$$anonfun$3.apply(ArrowConverters.scala:211)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$$anonfun$3.apply(ArrowConverters.scala:209)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:109)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
        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$$failJobAndIndependentStages(DAGScheduler.scala:1661)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1649)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1648)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1648)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1882)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1831)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1820)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:945)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:944)
        at org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1.apply(Dataset.scala:3217)
        at org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1.apply(Dataset.scala:3215)
        at org.apache.spark.sql.Dataset$$anonfun$51.apply(Dataset.scala:3265)
        at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
        at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3264)
        at org.apache.spark.sql.Dataset.collectAsArrowToPython(Dataset.scala:3215)
        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.lang.NullPointerException
        at org.apache.arrow.vector.ipc.message.MessageSerializer.deserializeRecordBatch(MessageSerializer.java:256)
        at org.apache.arrow.vector.ipc.message.MessageSerializer.deserializeRecordBatch(MessageSerializer.java:242)
        at org.apache.arrow.vector.ipc.ArrowFileReader.readRecordBatch(ArrowFileReader.java:162)
        at org.apache.arrow.vector.ipc.ArrowFileReader.loadNextBatch(ArrowFileReader.java:113)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$1.nextBatch(ArrowConverters.scala:170)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$1.<init>(ArrowConverters.scala:138)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$.fromPayloadIterator(ArrowConverters.scala:135)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$$anonfun$3.apply(ArrowConverters.scala:211)
        at org.apache.spark.sql.execution.arrow.ArrowConverters$$anonfun$3.apply(ArrowConverters.scala:209)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:109)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        ... 1 more

Note: toPandas attempted Arrow optimization because 'spark.sql.execution.arrow.enabled' is set to true. Please set it to false to disable this.
pythonapache-sparkpysparkamazon-web-servicespyarrow

暂无答案！

目前还没有任何答案，快来回答吧！

我来回答

相关问题

    查看更多

    热门标签

    更多
    JavaquerypythonNode开发语言requestUtil数据库Table后端算法LoggerMessageElementParser

    最新问答

    更多
    • 蜀ICP备2022004421号-2 NULL123 https://www.null123.com © All rights reserved
    • 本站内容来源互联网,如果侵犯您的权益请联系我们删除, 联系方式：448109455@qq.com