Hi!
I get SocketTimeoutException when execute piece of code first time.
When I re-run it - it works fine. The code just reads csv file and
transforms it to dataframe. Any ideas abot the reason?
import pyspark_csv as pycsv
plaintext_rdd = sc.textFile(r'file:///c:\data\sample.csv')
dataframe = pycsv.csvToDataFrame(sql, plaintext_rdd)
csv file size is 50MB.
I use Spark 1.6.1 on Windows locally.
Regards,
Sergey.
Py4JJavaError Traceback (most recent call
last)<ipython-input-72-d4227bb48a6a> in <module>() 2
plaintext_rdd = sc.textFile(r'file:///c:\data\sample.csv') 3
#plaintext_rdd.count()----> 4 dataframe = pycsv.csvToDataFrame(sql,
plaintext_rdd)
C:\Users\sergun\AppData\Local\Temp\spark-f4884acc-f8fd-416b-836b-2adebfd8e027\userFiles-02d6b0ee-569a-41ee-bd80-ccff2e09725e\pyspark_csv.py
in csvToDataFrame(sqlCtx, rdd, columns, sep, parseDate)
c:\spark\python\pyspark\rdd.py in first(self) 1313
ValueError: RDD is empty 1314 """-> 1315 rs =
self.take(1) 1316 if rs: 1317 return rs[0]
c:\spark\python\pyspark\rdd.py in take(self, num) 1295 1296
p = range(partsScanned, min(partsScanned + numPartsToTry,
totalParts))-> 1297 res = self.context.runJob(self,
takeUpToNumLeft, p) 1298 1299 items += res
c:\spark\python\pyspark\context.py in runJob(self, rdd, partitionFunc,
partitions, allowLocal) 937 # SparkContext#runJob. 938
mappedRDD = rdd.mapPartitions(partitionFunc)--> 939 port
= self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd,
partitions) 940 return list(_load_from_socket(port,
mappedRDD._jrdd_deserializer)) 941
c:\spark\python\lib\py4j-0.9-src.zip\py4j\java_gateway.py in
__call__(self, *args) 811 answer =
self.gateway_client.send_command(command) 812 return_value
= get_return_value(--> 813 answer, self.gateway_client,
self.target_id, self.name) 814 815 for temp_arg in
temp_args:
c:\spark\python\pyspark\sql\utils.py in deco(*a, **kw) 43 def
deco(*a, **kw): 44 try:---> 45 return f(*a,
**kw) 46 except py4j.protocol.Py4JJavaError as e: 47
s = e.java_exception.toString()
c:\spark\python\lib\py4j-0.9-src.zip\py4j\protocol.py in
get_return_value(answer, gateway_client, target_id, name) 306
raise Py4JJavaError( 307 "An error
occurred while calling {0}{1}{2}.\n".--> 308
format(target_id, ".", name), value) 309 else: 310
raise Py4JError(
Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0
in stage 0.0 (TID 0, localhost): org.apache.spark.SparkException:
Python worker did not connect back in time
at
org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:136)
at
org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:134)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.
: Accept timed out
at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
at
java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:135)
at
java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:409)
at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:199)
at java.net.ServerSocket.implAccept(ServerSocket.java:545)
at java.net.ServerSocket.accept(ServerSocket.java:513)
at
org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:131)
... 12 more
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:393)
at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala)
at sun.reflect.GeneratedMethodAccessor51.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:209)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: Python worker did not
connect back in time
at
org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:136)
at
org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:134)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
Caused by: java.net.SocketTimeoutException: Accept timed out
at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
at
java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:135)
at
java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:409)
at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:199)
at java.net.ServerSocket.implAccept(ServerSocket.java:545)
at java.net.ServerSocket.accept(ServerSocket.java:513)
at
org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:131)
... 12 more
