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https://issues.apache.org/jira/browse/FLINK-2148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14632525#comment-14632525
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ASF GitHub Bot commented on FLINK-2148:
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Github user ggevay commented on the pull request:
https://github.com/apache/flink/pull/910#issuecomment-122564739
You are right, I have now set the parallelism to 1 for the maps.
I have also moved the exact countDistinct functions to a new repository
(https://github.com/ggevay/flink-statistics-extra), because they potentially
use unbounded memory.
> Approximately calculate the number of distinct elements of a stream
> -------------------------------------------------------------------
>
> Key: FLINK-2148
> URL: https://issues.apache.org/jira/browse/FLINK-2148
> Project: Flink
> Issue Type: Sub-task
> Components: Streaming
> Reporter: Gabor Gevay
> Assignee: Gabor Gevay
> Priority: Minor
> Labels: statistics
>
> In the paper
> http://people.seas.harvard.edu/~minilek/papers/f0.pdf
> Kane et al. describes an optimal algorithm for estimating the number of
> distinct elements in a data stream.
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