[jira] [Resolved] (SPARK-3346) Error happened in using memcached

["Patrick Wendell (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-3346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Patrick Wendell resolved SPARK-3346.
------------------------------------
    Resolution: Invalid

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> Error happened in using memcached
> ---------------------------------
>
>                 Key: SPARK-3346
>                 URL: https://issues.apache.org/jira/browse/SPARK-3346
>             Project: Spark
>          Issue Type: Bug
>         Environment: CDH5.1.0
> Spark1.0.0
>            Reporter: Gavin Zhang
>
> I finished a distributed project in hadoop streaming and it worked fine with using memcached storage during mapping. Actually, it's a python project.
> Now I want to move it to Spark. But when I called the memcached library, two errors was found during computing. (Both)
> 1. File "memcache.py", line 414, in get
>     rkey, rlen = self._expectvalue(server)
> ValueError: too many values to unpack
> 2.   File "memcache.py", line 714, in check_key
>     return key.translate(ill_map)
> TypeError: character mapping must return integer, None or unicode
> After adding exception handing, there was no successful cache got at all. However, it works in hadoop streaming without any error. Why?



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