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Posted to issues@beam.apache.org by "Danny McCormick (Jira)" <ji...@apache.org> on 2022/06/04 12:48:00 UTC

[jira] [Commented] (BEAM-7525) support hash_fn for Python ApproximateUniqueCombineFn transform

    [ https://issues.apache.org/jira/browse/BEAM-7525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17548039#comment-17548039 ] 

Danny McCormick commented on BEAM-7525:
---------------------------------------

This issue has been migrated to https://github.com/apache/beam/issues/19695

> support hash_fn for Python ApproximateUniqueCombineFn transform
> ---------------------------------------------------------------
>
>                 Key: BEAM-7525
>                 URL: https://issues.apache.org/jira/browse/BEAM-7525
>             Project: Beam
>          Issue Type: Task
>          Components: sdk-py-core
>            Reporter: Hannah Jiang
>            Priority: P3
>
> ApproximateUniqueCombineFn is using default hash function for estimation.
> We can pass a hash_fn and overwrite default hash function to support better estimation performance.
> Parent issue: BEAM-6693
>  



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