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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/01/12 09:51:52 UTC
[jira] [Resolved] (SPARK-14901) java exception when showing join
[ https://issues.apache.org/jira/browse/SPARK-14901?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-14901.
-------------------------------
Resolution: Not A Problem
This looks like an error from Netezza libraries.
> java exception when showing join
> --------------------------------
>
> Key: SPARK-14901
> URL: https://issues.apache.org/jira/browse/SPARK-14901
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.6.1
> Reporter: Brent Elmer
>
> I am using pyspark with netezza. I am getting a java exception when trying to show the first row of a join. I can show the first row for of the two dataframes separately but not the result of a join. I get the same error for any action I take(first, collect, show). Am I doing something wrong?
> from pyspark.sql import SQLContext
> sqlContext = SQLContext(sc)
> dispute_df = sqlContext.read.format('com.ibm.spark.netezza').options(url='jdbc:netezza://***:5480/db', user='***', password='***', dbtable='table1', driver='com.ibm.spark.netezza').load()
> dispute_df.printSchema()
> comments_df = sqlContext.read.format('com.ibm.spark.netezza').options(url='jdbc:netezza://***:5480/db', user='***', password='***', dbtable='table2', driver='com.ibm.spark.netezza').load()
> comments_df.printSchema()
> dispute_df.join(comments_df, dispute_df.COMMENTID == comments_df.COMMENTID).first()
> root
> |-- COMMENTID: string (nullable = true)
> |-- EXPORTDATETIME: timestamp (nullable = true)
> |-- ARTAGS: string (nullable = true)
> |-- POTAGS: string (nullable = true)
> |-- INVTAG: string (nullable = true)
> |-- ACTIONTAG: string (nullable = true)
> |-- DISPUTEFLAG: string (nullable = true)
> |-- ACTIONFLAG: string (nullable = true)
> |-- CUSTOMFLAG1: string (nullable = true)
> |-- CUSTOMFLAG2: string (nullable = true)
> root
> |-- COUNTRY: string (nullable = true)
> |-- CUSTOMER: string (nullable = true)
> |-- INVNUMBER: string (nullable = true)
> |-- INVSEQNUMBER: string (nullable = true)
> |-- LEDGERCODE: string (nullable = true)
> |-- COMMENTTEXT: string (nullable = true)
> |-- COMMENTTIMESTAMP: timestamp (nullable = true)
> |-- COMMENTLENGTH: long (nullable = true)
> |-- FREEINDEX: long (nullable = true)
> |-- COMPLETEDFLAG: long (nullable = true)
> |-- ACTIONFLAG: long (nullable = true)
> |-- FREETEXT: string (nullable = true)
> |-- USERNAME: string (nullable = true)
> |-- ACTION: string (nullable = true)
> |-- COMMENTID: string (nullable = true)
> ---------------------------------------------------------------------------
> Py4JJavaError Traceback (most recent call last)
> <ipython-input-19-0cb9eb943052> in <module>()
> 5 comments_df = sqlContext.read.format('com.ibm.spark.netezza').options(url='jdbc:netezza://***:5480/db', user='***', password='***', dbtable='table2', driver='com.ibm.spark.netezza').load()
> 6 comments_df.printSchema()
> ----> 7 dispute_df.join(comments_df, dispute_df.COMMENTID == comments_df.COMMENTID).first()
> /usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/pyspark/sql/dataframe.pyc in first(self)
> 802 Row(age=2, name=u'Alice')
> 803 """
> --> 804 return self.head()
> 805
> 806 @ignore_unicode_prefix
> /usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/pyspark/sql/dataframe.pyc in head(self, n)
> 790 """
> 791 if n is None:
> --> 792 rs = self.head(1)
> 793 return rs[0] if rs else None
> 794 return self.take(n)
> /usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/pyspark/sql/dataframe.pyc in head(self, n)
> 792 rs = self.head(1)
> 793 return rs[0] if rs else None
> --> 794 return self.take(n)
> 795
> 796 @ignore_unicode_prefix
> /usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/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
> /usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/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:
> /usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/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()
> /usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/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 2 in stage 59.0 failed 1 times, most recent failure: Lost task 2.0 in stage 59.0 (TID 1406, localhost): java.io.IOException: EOF whilst processing escape sequence
> at org.apache.commons.csv.Lexer.readEscape(Lexer.java:346)
> at org.apache.commons.csv.Lexer.parseSimpleToken(Lexer.java:200)
> at org.apache.commons.csv.Lexer.nextToken(Lexer.java:161)
> at org.apache.commons.csv.CSVParser.nextRecord(CSVParser.java:498)
> at org.apache.commons.csv.CSVParser.getRecords(CSVParser.java:365)
> at com.ibm.spark.netezza.NetezzaRecordParser.parse(NetezzaRecordParser.scala:43)
> at com.ibm.spark.netezza.NetezzaDataReader.next(NetezzaDataReader.scala:136)
> at com.ibm.spark.netezza.NetezzaRDD$$anon$1.getNext(NetezzaRDD.scala:77)
> at com.ibm.spark.netezza.NetezzaRDD$$anon$1.hasNext(NetezzaRDD.scala:106)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1143)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:618)
> at java.lang.Thread.run(Thread.java:785)
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$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$$anon$1.run(EventLoop.scala:48)
> at java.lang.Thread.getStackTrace(Thread.java:1117)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
> at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:212)
> at org.apache.spark.sql.execution.EvaluatePython$$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:95)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:55)
> at java.lang.reflect.Method.invoke(Method.java:507)
> 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:785)
> Caused by: java.io.IOException: EOF whilst processing escape sequence
> at org.apache.commons.csv.Lexer.readEscape(Lexer.java:346)
> at org.apache.commons.csv.Lexer.parseSimpleToken(Lexer.java:200)
> at org.apache.commons.csv.Lexer.nextToken(Lexer.java:161)
> at org.apache.commons.csv.CSVParser.nextRecord(CSVParser.java:498)
> at org.apache.commons.csv.CSVParser.getRecords(CSVParser.java:365)
> at com.ibm.spark.netezza.NetezzaRecordParser.parse(NetezzaRecordParser.scala:43)
> at com.ibm.spark.netezza.NetezzaDataReader.next(NetezzaDataReader.scala:136)
> at com.ibm.spark.netezza.NetezzaRDD$$anon$1.getNext(NetezzaRDD.scala:77)
> at com.ibm.spark.netezza.NetezzaRDD$$anon$1.hasNext(NetezzaRDD.scala:106)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1143)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:618)
> ... 1 more
> In [ ]:
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