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Posted to issues@flink.apache.org by "Flink Jira Bot (Jira)" <ji...@apache.org> on 2021/10/30 22:40:01 UTC

[jira] [Updated] (FLINK-20369) Improve the digest of TableSourceScan and Sink node

     [ https://issues.apache.org/jira/browse/FLINK-20369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Flink Jira Bot updated FLINK-20369:
-----------------------------------
    Labels: auto-deprioritized-major stale-minor  (was: auto-deprioritized-major)

I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help the community manage its development. I see this issues has been marked as Minor but is unassigned and neither itself nor its Sub-Tasks have been updated for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is still Minor, please either assign yourself or give an update. Afterwards, please remove the label or in 7 days the issue will be deprioritized.


> Improve the digest of TableSourceScan and Sink node
> ---------------------------------------------------
>
>                 Key: FLINK-20369
>                 URL: https://issues.apache.org/jira/browse/FLINK-20369
>             Project: Flink
>          Issue Type: Improvement
>          Components: Table SQL / Planner
>            Reporter: Jark Wu
>            Priority: Minor
>              Labels: auto-deprioritized-major, stale-minor
>
> Currently, 
> 1. the digest of {{TableSourceScan}} and {{Sink}} doesn't contain the connector information which will be quite useful when debugging. 
> 2. The table name is quite verbose when under default catalog and database, would be better to simplify it to only table name if under default catalog and database.
> 3. Maybe it's nicer to have changelog mode of source and sink, because it's a meta information of {{DynamicTableSource/Sink#getChangelogMode}}. 
> {code}
> Sink(table=[default_catalog.default_database.sink_kafka_count_city], fields=[city_name, count_customer, sum_gender], changelogMode=[NONE])
> +- Calc(select=[city_name, CAST(count_customer) AS count_customer, CAST(sum_gender) AS sum_gender], changelogMode=[I,UA,D])
>    +- Join(joinType=[InnerJoin], where=[=(city_id, id)], select=[city_id, count_customer, sum_gender, id, city_name], leftInputSpec=[JoinKeyContainsUniqueKey], rightInputSpec=[JoinKeyContainsUniqueKey], changelogMode=[I,UA,D])
>       :- Exchange(distribution=[hash[city_id]], changelogMode=[I,UA,D])
>       :  +- GlobalGroupAggregate(groupBy=[city_id], select=[city_id, COUNT_RETRACT(count1$0) AS count_customer, SUM_RETRACT((sum$1, count$2)) AS sum_gender], changelogMode=[I,UA,D])
>       :     +- Exchange(distribution=[hash[city_id]], changelogMode=[I])
>       :        +- LocalGroupAggregate(groupBy=[city_id], select=[city_id, COUNT_RETRACT(*) AS count1$0, SUM_RETRACT(gender) AS (sum$1, count$2)], changelogMode=[I])
>       :           +- Calc(select=[city_id, gender], changelogMode=[I,UB,UA,D])
>       :              +- ChangelogNormalize(key=[customer_id], changelogMode=[I,UB,UA,D])
>       :                 +- Exchange(distribution=[hash[customer_id]], changelogMode=[UA,D])
>       :                    +- MiniBatchAssigner(interval=[3000ms], mode=[ProcTime], changelogMode=[UA,D])
>       :                       +- TableSourceScan(table=[[default_catalog, default_database, source_customer]], fields=[customer_id, city_id, age, gender, update_time], changelogMode=[UA,D])
>       +- Exchange(distribution=[hash[id]], changelogMode=[I,UA,D])
>          +- ChangelogNormalize(key=[id], changelogMode=[I,UA,D])
>             +- Exchange(distribution=[hash[id]], changelogMode=[UA,D])
>                +- MiniBatchAssigner(interval=[3000ms], mode=[ProcTime], changelogMode=[UA,D])
>                   +- TableSourceScan(table=[[default_catalog, default_database, source_city]], fields=[id, city_name], changelogMode=[UA,D])
> {code}



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