Abdeali Kothari created SPARK-25992:
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Summary: 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
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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