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https://issues.apache.org/jira/browse/SPARK-26019?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16723418#comment-16723418
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ASF GitHub Bot commented on SPARK-26019:
----------------------------------------

squito opened a new pull request #23337: [SPARK-26019][PYSPARK] Allow insecure 
py4j gateways
URL: https://github.com/apache/spark/pull/23337
 
 
   Spark always creates secure py4j connections between java and python,
   but it also allows users to pass in their own connection.  This restores
   the ability for users to pass in an _insecure_ connection, though it
   forces them to set 'spark.python.allowInsecurePy4j=true' and still
   issues a warning.
   
   Added test cases verifying the failure without the extra configuration,
   and verifying things still work with an insecure configuration (in
   particular, accumulators, as those were broken with an insecure py4j
   gateway before).
   
   For the tests, I added ways to create insecure gateways, but I tried to put 
in protections to make sure that wouldn't get used incorrectly.

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> 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
>            Priority: Major
>
> 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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