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https://issues.apache.org/jira/browse/SPARK-3992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen resolved SPARK-3992.
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Resolution: Won't Fix
Resolving as "Won't Fix" since this issue is really old and is targeted at
Spark 1.1.0. Please re-open if this is still an issue.
> Spark 1.1.0 python binding cannot use any collections but list as Accumulators
> ------------------------------------------------------------------------------
>
> Key: SPARK-3992
> URL: https://issues.apache.org/jira/browse/SPARK-3992
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.1.0
> Environment: 3.13.0-36-generic #63-Ubuntu SMP Wed Sep 3 21:30:07 UTC
> 2014 x86_64 x86_64 x86_64 GNU/Linux
> Reporter: Walter Bogorad
>
> A dictionary accumulator defined as a global variable is not visible inside a
> function called by "foreach()".
> Here is the minimal code snippet:
> {noformat}
> from collections import defaultdict
> from pyspark import SparkContext
> from pyspark.accumulators import AccumulatorParam
> class DictAccumParam(AccumulatorParam):
> def zero(self, value):
> value.clear()
> def addInPlace(self, val1, val2):
> return val1
> sc = SparkContext("local", "Dict Accumulator Bug")
> va = sc.accumulator(defaultdict(int), DictAccumParam())
> def foo(x):
> global va
> print "va is:", va
> rdd = sc.parallelize([1,2,3]).foreach(foo)
> {noformat}
> When ran the code snippet produced the following results:
> ...
> va is: None
> va is: None
> va is: None
> ...
> I have verified that the global variables are visible inside foo() called by
> foreach only if they are for scalars or lists like in the API doc at
> http://spark.apache.org/docs/latest/api/python/
> The problem exists with standard dictionaries and collections.
> I also verified that if foo() is called directly, i.e. outside foreach, then
> the global variables are visible OK.
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