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I am running simple count and I am getting an error

RaghuMundru
New Contributor III

Here is the error that I am getting when I run the following query

statement=sqlContext.sql("SELECT count(*) FROM ARDATA_2015_09_01").show()

---------------------------------------------------------------------------Py4JJavaError Traceback (most recent call last) <ipython-input-17-9282619903a0> in <module>()----> 1statement=sqlContext.sql("SELECT count(*) FROM ARDATA_2015_09_01").show()/home/ubuntu/databricks/spark/python/pyspark/sql/dataframe.py in show(self, n, truncate) 254+---+-----+ 255 """ --> 256print(self.jdf.showString(n, truncate)) 257 258def repr(self):/home/ubuntu/databricks/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py in call_(self, *args) 536 answer = self.gateway_client.send_command(command) 537 return_value = get_return_value(answer, self.gateway_client, --> 538 self.target_id, self.name) 539 540for temp_arg in temp_args:/home/ubuntu/databricks/spark/python/pyspark/sql/utils.py in deco(a, *kw) 34def deco(a,*kw): 35try:---> 36return f(a,*kw) 37except py4j.protocol.Py4JJavaError as e: 38 s = e.java_exception.toString()/home/ubuntu/databricks/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name) 298 raise Py4JJavaError( 299'An error occurred while calling {0}{1}{2}.\n'.--> 300 format(target_id, '.', name), value) 301else: 302 raise Py4JError(

Py4JJavaError: An error occurred while calling o358.showString. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 4.0 failed 4 times, most recent failure: Lost task 0.3 in stage 4.0 (TID 7, 10.61.238.61): ExecutorLostFailure (executor 0 lost) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1825) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1838) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1851) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:215) at org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:207) at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1385) at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1385) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1903) at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1384) at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1314) at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1377) at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178) 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:497) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) 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:207) at java.lang.Thread.run(Thread.java:745)

15 REPLIES 15

muchave
New Contributor II

192.168.o.1 is a private IP address used to login the admin panel of a router. 192.168.l.l is the host address to change default router settings.