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mrocklin / dask-spark

Dask and Spark interactions
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TypeError: start() takes 1 positional argument but 2 were given #3

Open fredms opened 4 years ago

fredms commented 4 years ago

I tested spark_to_dask with a valid spark context image

but got the following error when run client=spark_to_dask(sc):

(1) Spark Jobs

Waiting for workers
Exception in thread Thread-9:
Traceback (most recent call last):
  File "/usr/lib/python3.7/threading.py", line 917, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.7/threading.py", line 865, in run
    self._target(*self._args, **self._kwargs)
  File "/databricks/python/lib/python3.7/site-packages/dask_spark/core.py", line 137, in <lambda>
    start_workers = lambda: rdd.mapPartitions(lambda x: start_worker(address)).count()
  File "/databricks/spark/python/pyspark/rdd.py", line 1096, in count
    return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
  File "/databricks/spark/python/pyspark/rdd.py", line 1087, in sum
    return self.mapPartitions(lambda x: [sum(x)]).fold(0, operator.add)
  File "/databricks/spark/python/pyspark/rdd.py", line 958, in fold
    vals = self.mapPartitions(func).collect()
  File "/databricks/spark/python/pyspark/rdd.py", line 831, in collect
    sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
  File "/databricks/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 "/databricks/spark/python/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/databricks/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 z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 2.0 failed 4 times, most recent failure: Lost task 1.3 in stage 2.0 (TID 68, 10.139.64.5, executor 1): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/databricks/spark/python/pyspark/worker.py", line 480, in main
    process()
  File "/databricks/spark/python/pyspark/worker.py", line 470, in process
    out_iter = func(split_index, iterator)
  File "/databricks/spark/python/pyspark/rdd.py", line 2542, in pipeline_func
    return func(split, prev_func(split, iterator))
  File "/databricks/spark/python/pyspark/rdd.py", line 2542, in pipeline_func
    return func(split, prev_func(split, iterator))
  File "/databricks/spark/python/pyspark/rdd.py", line 2542, in pipeline_func
    return func(split, prev_func(split, iterator))
  [Previous line repeated 1 more time]
  File "/databricks/spark/python/pyspark/rdd.py", line 353, in func
    return f(iterator)
  File "/databricks/python/lib/python3.7/site-packages/dask_spark/core.py", line 137, in <lambda>
    start_workers = lambda: rdd.mapPartitions(lambda x: start_worker(address)).count()
  File "/databricks/python/lib/python3.7/site-packages/dask_spark/core.py", line 102, in start_worker
    w.start(0)
**TypeError: start() takes 1 positional argument but 2 were given**

    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:534)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:670)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:653)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:488)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator$class.foreach(Iterator.scala:891)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$15.apply(RDD.scala:997)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$15.apply(RDD.scala:997)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2321)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2321)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
    at org.apache.spark.scheduler.Task.run(Task.scala:113)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:533)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:539)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$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$$failJobAndIndependentStages(DAGScheduler.scala:2362)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2350)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2349)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2349)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1102)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2581)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2529)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2517)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:897)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2280)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2302)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2321)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2346)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:997)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:392)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:996)
    at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:247)
    at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
    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:380)
    at py4j.Gateway.invoke(Gateway.java:295)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:251)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/databricks/spark/python/pyspark/worker.py", line 480, in main
    process()
  File "/databricks/spark/python/pyspark/worker.py", line 470, in process
    out_iter = func(split_index, iterator)
  File "/databricks/spark/python/pyspark/rdd.py", line 2542, in pipeline_func
    return func(split, prev_func(split, iterator))
  File "/databricks/spark/python/pyspark/rdd.py", line 2542, in pipeline_func
    return func(split, prev_func(split, iterator))
  File "/databricks/spark/python/pyspark/rdd.py", line 2542, in pipeline_func
    return func(split, prev_func(split, iterator))
  [Previous line repeated 1 more time]
  File "/databricks/spark/python/pyspark/rdd.py", line 353, in func
    return f(iterator)
  File "/databricks/python/lib/python3.7/site-packages/dask_spark/core.py", line 137, in <lambda>
    start_workers = lambda: rdd.mapPartitions(lambda x: start_worker(address)).count()
  File "/databricks/python/lib/python3.7/site-packages/dask_spark/core.py", line 102, in start_worker
    w.start(0)
TypeError: start() takes 1 positional argument but 2 were given

    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:534)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:670)
    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:653)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:488)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator$class.foreach(Iterator.scala:891)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$15.apply(RDD.scala:997)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$15.apply(RDD.scala:997)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2321)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2321)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
    at org.apache.spark.scheduler.Task.run(Task.scala:113)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:533)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:539)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    ... 1 more

Waiting for workers
Waiting for workers
Waiting for workers
Waiting for workers
Waiting for workers
Waiting for workers
Waiting for workers
Waiting for workers
fredms commented 4 years ago

also tried in jupyter notebook, got the same issue with sparkContext: SparkContext

Spark UI

Version v2.4.4 Master local[*] AppName pyspark-shell

mrocklin commented 4 years ago

This project is very old, and is not maintained. If you or anyone else is interested in resolving these issues that would be great, but I wouldn't expect anything from me personally.

fredms commented 4 years ago

Thanks @mrocklin . Sure, let me see if I have enough time to resolve it.