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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/01/16 15:31:00 UTC
[jira] [Resolved] (SPARK-25992) Accumulators giving KeyError in
pyspark
[ https://issues.apache.org/jira/browse/SPARK-25992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-25992.
----------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
2.4.1
Fixed at https://github.com/apache/spark/pull/23564
I documented the limitation.
> Accumulators giving KeyError in pyspark
> ---------------------------------------
>
> Key: SPARK-25992
> URL: https://issues.apache.org/jira/browse/SPARK-25992
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.3.1
> Reporter: Abdeali Kothari
> Priority: Major
> Fix For: 2.4.1, 3.0.0
>
>
> I am using accumulators and when I run my code, I sometimes get some warn messages. When I checked, there was nothing accumulated - not sure if I lost info from the accumulator or it worked and I can ignore this error ?
> The message:
> {noformat}
> Exception happened during processing of request from
> ('127.0.0.1', 62099)
> Traceback (most recent call last):
> File "/Users/abdealijk/anaconda3/lib/python3.6/socketserver.py", line 317, in _handle_request_noblock
> self.process_request(request, client_address)
> File "/Users/abdealijk/anaconda3/lib/python3.6/socketserver.py", line 348, in process_request
> self.finish_request(request, client_address)
> File "/Users/abdealijk/anaconda3/lib/python3.6/socketserver.py", line 361, in finish_request
> self.RequestHandlerClass(request, client_address, self)
> File "/Users/abdealijk/anaconda3/lib/python3.6/socketserver.py", line 696, in __init__
> self.handle()
> File "/usr/local/hadoop/spark2.3.1/python/pyspark/accumulators.py", line 238, in handle
> _accumulatorRegistry[aid] += update
> KeyError: 0
> ----------------------------------------
> 2018-11-09 19:09:08 ERROR DAGScheduler:91 - Failed to update accumulators for task 0
> org.apache.spark.SparkException: EOF reached before Python server acknowledged
> at org.apache.spark.api.python.PythonAccumulatorV2.merge(PythonRDD.scala:634)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$updateAccumulators$1.apply(DAGScheduler.scala:1131)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$updateAccumulators$1.apply(DAGScheduler.scala:1123)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.updateAccumulators(DAGScheduler.scala:1123)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:1206)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1820)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1772)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1761)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> {noformat}
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