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https://issues.apache.org/jira/browse/FLINK-8400?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hequn Cheng updated FLINK-8400:
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Description:
{{UniqueKeyExtractor}} will return a tuple, the first element is the name of a
key field, the second is a group name that is shared by all equivalent key
fields. The group names are used to identify same keys, for example: select('pk
as pk1, 'pk as pk2), both pk1 and pk2 belong to the same group, i.e., pk1. Here
we use the lexicographic smallest attribute as the common group id.
Currently, when extract unique keys from DataStreamCalc, the generated group id
is not the lexicographic smallest attribute.
was:
{{UniqueKeyExtractor}} will return a tuple, the first element is the name of a
key field, the second is a group name that is shared by all equivalent key
fields. The group names are used to identify same keys, for example: select('pk
as pk1, 'pk as pk2), both pk1 and pk2 belong to the same group, i.e., pk1. Here
we use the lexicographic smallest attribute as the common group id.
Currently, DataStreamCalc
> Use the lexicographic smallest attribute as the common group id when extract
> unique key
> ---------------------------------------------------------------------------------------
>
> Key: FLINK-8400
> URL: https://issues.apache.org/jira/browse/FLINK-8400
> Project: Flink
> Issue Type: Bug
> Components: Table API & SQL
> Reporter: Hequn Cheng
> Assignee: Hequn Cheng
>
> {{UniqueKeyExtractor}} will return a tuple, the first element is the name of
> a key field, the second is a group name that is shared by all equivalent key
> fields. The group names are used to identify same keys, for example:
> select('pk as pk1, 'pk as pk2), both pk1 and pk2 belong to the same group,
> i.e., pk1. Here we use the lexicographic smallest attribute as the common
> group id.
> Currently, when extract unique keys from DataStreamCalc, the generated group
> id is not the lexicographic smallest attribute.
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