Hey,
error trace -
hey,
error trace -
---------------------------------------------------------------------------Py4JJavaError
Traceback (most recent call
last)<ipython-input-22-925883e4d630> in <module>()----> 1 temp.take(2)
/Users/my/Documents/My_Study_folder/spark-1.6.1/python/pyspark/sql/dataframe.pyc
in take(self, num) 304 with SCCallSiteSync(self._sc) as
css: 305 port =
self._sc._jvm.org.apache.spark.sql.execution.EvaluatePython.takeAndServe(-->
306 self._jdf, num) 307 return
list(_load_from_socket(port, BatchedSerializer(PickleSerializer())))
308
/Users/my/Documents/My_Study_folder/spark-1.6.1/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:
/Users/my/Documents/My_Study_folder/spark-1.6.1/python/pyspark/sql/utils.pyc
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()
/Users/my/Documents/My_Study_folder/spark-1.6.1/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.sql.execution.EvaluatePython.takeAndServe.
: 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 76, localhost): java.lang.OutOfMemoryError: GC
overhead limit exceeded
at com.mysql.jdbc.MysqlIO.nextRowFast(MysqlIO.java:2205)
at com.mysql.jdbc.MysqlIO.nextRow(MysqlIO.java:1984)
at com.mysql.jdbc.MysqlIO.readSingleRowSet(MysqlIO.java:3403)
at com.mysql.jdbc.MysqlIO.getResultSet(MysqlIO.java:470)
at com.mysql.jdbc.MysqlIO.readResultsForQueryOrUpdate(MysqlIO.java:3105)
at com.mysql.jdbc.MysqlIO.readAllResults(MysqlIO.java:2336)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2729)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2549)
at
com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1861)
at
com.mysql.jdbc.PreparedStatement.executeQuery(PreparedStatement.java:1962)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.<init>(JDBCRDD.scala:363)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:339)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org
<http://org.apache.spark.scheduler.dagscheduler.org/>$apache$spark$scheduler$DAGScheduler$$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$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
at
org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:212)
at
org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply$mcI$sp(python.scala:126)
at
org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply(python.scala:124)
at
org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply(python.scala:124)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
at
org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
at
org.apache.spark.sql.execution.EvaluatePython$.takeAndServe(python.scala:124)
at
org.apache.spark.sql.execution.EvaluatePython.takeAndServe(python.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: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: java.lang.OutOfMemoryError: GC overhead limit exceeded
at com.mysql.jdbc.MysqlIO.nextRowFast(MysqlIO.java:2205)
at com.mysql.jdbc.MysqlIO.nextRow(MysqlIO.java:1984)
at com.mysql.jdbc.MysqlIO.readSingleRowSet(MysqlIO.java:3403)
at com.mysql.jdbc.MysqlIO.getResultSet(MysqlIO.java:470)
at com.mysql.jdbc.MysqlIO.readResultsForQueryOrUpdate(MysqlIO.java:3105)
at com.mysql.jdbc.MysqlIO.readAllResults(MysqlIO.java:2336)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2729)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2549)
at
com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1861)
at
com.mysql.jdbc.PreparedStatement.executeQuery(PreparedStatement.java:1962)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.<init>(JDBCRDD.scala:363)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:339)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$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
On Wed, Jun 15, 2016 at 5:39 PM, Jeff Zhang <[email protected]> wrote:
> Could you paste the full stacktrace ?
>
> On Thu, Jun 16, 2016 at 7:24 AM, spR <[email protected]> wrote:
>
>> Hi,
>> I am getting this error while executing a query using sqlcontext.sql
>>
>> The table has around 2.5 gb of data to be scanned.
>>
>> First I get out of memory exception. But I have 16 gb of ram
>>
>> Then my notebook dies and I get below error
>>
>> Py4JNetworkError: An error occurred while trying to connect to the Java
>> server
>>
>>
>> Thank You
>>
>
>
>
> --
> Best Regards
>
> Jeff Zhang
>
