[
https://issues.apache.org/jira/browse/SPARK-34328?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ALIM TOPRAK FIRAT resolved SPARK-34328.
---------------------------------------
Resolution: Fixed
> Cannot work with Spark
> ----------------------
>
> Key: SPARK-34328
> URL: https://issues.apache.org/jira/browse/SPARK-34328
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.0.1
> Reporter: ALIM TOPRAK FIRAT
> Priority: Blocker
>
> I have already googled this problem and tried the other suggestions. I don't
> even understand why SPARK is this hard to set up and work properly without
> any problems. I have already googled this problem and tried the other
> suggestions. I don't even understand why SPARK is this hard to set up and
> work properly without any problems.
> I set up Spark to my ubuntu server. I use Python 3.6 with Spark 3.0.1 /
> Hadoop 2.7
> The code that I'm trying to run is this, it's from a udemy lecture.
> ```
> from pyspark import SparkConf, SparkContextimport collectionsimport py4j
> conf = SparkConf().setMaster('local').setAppName('RatingsHist')sc =
> SparkContext(conf = conf)lines =
> sc.textFile("/home/toprak/Codes/spark/uDemyData/Friends/fakefriends.csv")
> def parseLine(line): fields = line.split(',') age = int(fields[21])
> numFriends = int(fields[3]) return (age, numFriends)
> rdd = lines.map(parseLine)
> totalsByAge = rdd.mapValues(lambda x: (x, 1)).reduceByKey(lambda x, y: (x[0]
> + y[0], x[1] + y[1]))averagesByAge = totalsByAge.mapValues(lambda x: x[0] /
> x[1])results = averagesByAge.collect()for result in results: print(result)
> ```When I try to run, it gives me:
> ```---------------------------------------------------------------------------Py4JJavaError
> Traceback (most recent call
> last)<ipython-input-8-47d1d28735c7> in <module> 1 totalsByAge =
> rdd.mapValues(lambda x: (x, 1)).reduceByKey(lambda x, y: (x[0] + y[0], x[1] +
> y[1])) 2 averagesByAge = totalsByAge.mapValues(lambda x: x[0] /
> x[1])----> 3 results = averagesByAge.collect() 4 for result in results:
> 5 print(result)
> ~/.local/lib/python3.6/site-packages/pyspark/rdd.py in collect(self) 887
> """ 888 with SCCallSiteSync(self.context) as css:--> 889
> sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
> 890 return list(_load_from_socket(sock_info,
> self._jrdd_deserializer)) 891
> ~/.local/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self,
> *args) 1303 answer = self.gateway_client.send_command(command)
> 1304 return_value = get_return_value(-> 1305 answer,
> self.gateway_client, self.target_id, self.name) 1306 1307 for
> temp_arg in temp_args:
> ~/.local/lib/python3.6/site-packages/py4j/protocol.py in
> get_return_value(answer, gateway_client, target_id, name) 326
> raise Py4JJavaError( 327 "An error occurred while
> calling \{0}{1}\{2}.\n".--> 328 format(target_id, ".",
> name), value) 329 else: 330 raise Py4JError(
> 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 0 in
> stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0
> (TID 2, 192.168.1.27, executor driver):
> org.apache.spark.api.python.PythonException: Traceback (most recent call
> last): File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py",
> line 605, in main process() File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py",
> line 595, in process out_iter = func(split_index, iterator) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/rdd.py", line 2596,
> in pipeline_func return func(split, prev_func(split, iterator)) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/rdd.py", line 2596,
> in pipeline_func return func(split, prev_func(split, iterator)) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/rdd.py", line 425,
> in func return f(iterator) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/rdd.py", line 1946,
> in combineLocally merger.mergeValues(iterator) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/shuffle.py",
> line 238, in mergeValues for k, v in iterator: File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/util.py",
> line 107, in wrapper return f(*args, **kwargs) File
> "<ipython-input-5-ae8b1b1c8ea5>", line 3, in parseLineIndexError: list index
> out of range
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:503)
> at
> org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:638)
> at
> org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:621)
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:456)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1209) at
> scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1215) at
> scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458) at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at
> org.apache.spark.scheduler.Task.run(Task.scala:127) at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) 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.failJobAndIndependentStages(DAGScheduler.scala:2059)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2008)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2007)
> at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
> at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2007)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:973)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:973)
> at scala.Option.foreach(Option.scala:407) at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:973)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2239)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2188)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2177)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:775) at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2099) at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2120) at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2139) at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2164) at
> org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1004) at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:388) at
> org.apache.spark.rdd.RDD.collect(RDD.scala:1003) at
> org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:168)
> 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: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:
> org.apache.spark.api.python.PythonException: Traceback (most recent call
> last): File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py",
> line 605, in main process() File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py",
> line 595, in process out_iter = func(split_index, iterator) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/rdd.py", line 2596,
> in pipeline_func return func(split, prev_func(split, iterator)) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/rdd.py", line 2596,
> in pipeline_func return func(split, prev_func(split, iterator)) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/rdd.py", line 425,
> in func return f(iterator) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/rdd.py", line 1946,
> in combineLocally merger.mergeValues(iterator) File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/shuffle.py",
> line 238, in mergeValues for k, v in iterator: File
> "/home/toprak/.local/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/util.py",
> line 107, in wrapper return f(*args, **kwargs) File
> "<ipython-input-5-ae8b1b1c8ea5>", line 3, in parseLineIndexError: list index
> out of range
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:503)
> at
> org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:638)
> at
> org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:621)
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:456)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1209) at
> scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1215) at
> scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458) at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at
> org.apache.spark.scheduler.Task.run(Task.scala:127) at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> ... 1 more
> ```
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
