Ruslan Dautkhanov created SPARK-26019:
-----------------------------------------
Summary: pyspark/accumulators.py: "TypeError: object of type
'NoneType' has no len()" in authenticate_and_accum_updates()
Key: SPARK-26019
URL: https://issues.apache.org/jira/browse/SPARK-26019
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.4.0, 2.3.2
Reporter: Ruslan Dautkhanov
Started happening after 2.3.1 -> 2.3.2 upgrade.
{code:python}
Exception happened during processing of request from ('127.0.0.1', 43418)
----------------------------------------
Traceback (most recent call last):
File "/opt/cloudera/parcels/Anaconda/lib/python2.7/SocketServer.py", line
290, in _handle_request_noblock
self.process_request(request, client_address)
File "/opt/cloudera/parcels/Anaconda/lib/python2.7/SocketServer.py", line
318, in process_request
self.finish_request(request, client_address)
File "/opt/cloudera/parcels/Anaconda/lib/python2.7/SocketServer.py", line
331, in finish_request
self.RequestHandlerClass(request, client_address, self)
File "/opt/cloudera/parcels/Anaconda/lib/python2.7/SocketServer.py", line
652, in __init__
self.handle()
File
"/opt/cloudera/parcels/SPARK2-2.3.0.cloudera4-1.cdh5.13.3.p0.611179/lib/spark2/python/lib/pyspark.zip/pyspark/accumulators.py",
line 263, in handle
poll(authenticate_and_accum_updates)
File
"/opt/cloudera/parcels/SPARK2-2.3.0.cloudera4-1.cdh5.13.3.p0.611179/lib/spark2/python/lib/pyspark.zip/pyspark/accumulators.py",
line 238, in poll
if func():
File
"/opt/cloudera/parcels/SPARK2-2.3.0.cloudera4-1.cdh5.13.3.p0.611179/lib/spark2/python/lib/pyspark.zip/pyspark/accumulators.py",
line 251, in authenticate_and_accum_updates
received_token = self.rfile.read(len(auth_token))
TypeError: object of type 'NoneType' has no len()
{code}
Error happens here:
https://github.com/apache/spark/blob/cb90617f894fd51a092710271823ec7d1cd3a668/python/pyspark/accumulators.py#L254
The PySpark code was just running a simple pipeline of
binary_rdd = sc.binaryRecords(full_file_path, record_length).map(lambda .. )
and then converting it to a dataframe and running a count on it.
It seems error is flaky - on next rerun it didn't happen.
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