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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/01/03 03:13:00 UTC
[jira] [Assigned] (SPARK-26019) pyspark/accumulators.py:
"TypeError: object of type 'NoneType' has no len()" in
authenticate_and_accum_updates()
[ https://issues.apache.org/jira/browse/SPARK-26019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon reassigned SPARK-26019:
------------------------------------
Assignee: Imran Rashid
> 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: 2.3.2, 2.4.0
> Reporter: Ruslan Dautkhanov
> Assignee: Imran Rashid
> Priority: Major
> Fix For: 2.3.3, 2.4.1
>
>
> pyspark's accumulator server expects a secure py4j connection between python and the jvm. Spark will normally create a secure connection, but there is a public api which allows you to pass in your own py4j connection. (this is used by zeppelin, at least.) When this happens, you get an error like:
> {noformat}
> pyspark/accumulators.py: "TypeError: object of type 'NoneType' has no len()" in authenticate_and_accum_updates()
> {noformat}
> We should change pyspark to
> 1) warn loudly if a user passes in an insecure connection
> 1a) I'd like to suggest that we even error out, unless the user actively opts-in with a config like "spark.python.allowInsecurePy4j=true"
> 2) The accumulator server should be changed to allow insecure connections.
> note that SPARK-26349 will disallow insecure connections completely in 3.0.
>
> More info on how this occurs:
> {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. (But accumulators don't actually work.)
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