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Andreas commented on SPARK-9746:
Now I see my mistake:
I did
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Andreas commented on SPARK-9746:
That's exactly my understanding (see my similar
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Andreas commented on SPARK-9746:
May be I'm to dumb: but the count for each key is always
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Andreas edited comment on SPARK-9746 at 8/7/15 8:04 PM:
Sorry, but
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Andreas commented on SPARK-9746:
Many thanks for your responsiveness and patience.
I
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Andreas commented on SPARK-9746:
Still the scaladoc Count the number of elements for each
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Andreas reopened SPARK-9746:
Sorry, but I don't agree.
cntxt..parallelize(List ((a, 1), (a, 2))).groupBy(_._1).countByKey()
returns 'Map(a
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Andreas commented on SPARK-9746:
Sorry to waste your time.
But in my understanding in a
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Andreas commented on SPARK-9746:
I'm probably lost in translation:
here it says it counts
Andreas created SPARK-9746:
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Summary: PairRDDFunctions.countByKey: values/counts always 1
Key: SPARK-9746
URL: https://issues.apache.org/jira/browse/SPARK-9746
Project: Spark
Issue Type: Bug
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Andreas commented on SPARK-9746:
Sorry, but it doesn't count anything, the values of the
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Andreas commented on SPARK-9746:
Sure I tried this with different inputs (driven by
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Andreas commented on SPARK-9746:
Btw the value cannot be a ham sandwich: according to
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