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? Attached my code. code.zip <http://apache-spark-user-list.1001560.n3.nabble.com/file/n13341/code.zip>
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