[jira] [Updated] (FLINK-22437) Miss adding parallesim for filter operator in batch mode

["Flink Jira Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-22437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Flink Jira Bot updated FLINK-22437:
-----------------------------------
    Labels: auto-deprioritized-major auto-unassigned pull-request-available stale-minor  (was: auto-deprioritized-major auto-unassigned pull-request-available)

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.


> Miss adding parallesim for filter operator in batch mode
> --------------------------------------------------------
>
>                 Key: FLINK-22437
>                 URL: https://issues.apache.org/jira/browse/FLINK-22437
>             Project: Flink
>          Issue Type: Bug
>          Components: Table SQL / Planner
>    Affects Versions: 1.12.2
>            Reporter: zoucao
>            Priority: Minor
>              Labels: auto-deprioritized-major, auto-unassigned, pull-request-available, stale-minor
>
> when I execute batch sql as follow in flink-1.12.2, I found lots of small files in hdfs. In filesystem connector, `GroupedPartitionWriter` will be used, and it close the last partiton if a new record does not belong to the existing partition. The phenomenon occurred if there are more than one partiton's records are sent to filesystem sink at the same time. Hive source can determine parallesim by the number of file and partition, and the parallesim will extended by sort operator,  but in `CommonPhysicalSink#createSinkTransformation`，a filter operator will be add to support `SinkNotNullEnforcer`, there is no parallesim set for it, so filesystem sink operator can not get the correct parallesim from inputstream.
> {code:java}
> CREATE CATALOG myHive with (
>     'type'='hive',
>     'property-version'='1',
>     'default-database' = 'flink_sql_online_test'
> );
> -- SET table.sql-dialect=hive;
> -- CREATE TABLE IF NOT EXISTS myHive.flink_sql_online_test.hive_sink (
> --    `timestamp` BIGINT,
> --    `time` STRING,
> --    id BIGINT,
> --    product STRING,
> --    price DOUBLE,
> --    canSell STRING,
> --    selledNum BIGINT
> -- ) PARTITIONED BY (
> --    dt STRING,
> --    `hour` STRING,
> --   `min` STRING
> -- ) TBLPROPERTIES (
> --    'partition.time-extractor.timestamp-pattern'='$dt $hr:$min:00',
> --    'sink.partition-commit.trigger'='partition-time',
> --    'sink.partition-commit.delay'='1 min',
> --    'sink.partition-commit.policy.kind'='metastore,success-file'
> -- );
> create table fs_sink (
>     `timestamp` BIGINT,
>     `time` STRING,
>     id BIGINT,
>     product STRING,
>     price DOUBLE,
>     canSell STRING,
>     selledNum BIGINT,
>     dt STRING,
>     `hour` STRING,
>     `min` STRING
> ) PARTITIONED BY (dt, `hour`, `min`) with (
>     'connector'='filesystem',
>     'path'='hdfs://XXXX',
>     'format'='csv'
> );
> insert into fs_sink
> select * from myHive.flink_sql_online_test.hive_sink;
> {code}
> I think this problem can be fixed by adding a parallesim for it just like
> {code:java}
> val dataStream = new DataStream(env, inputTransformation).filter(enforcer)
>   .setParallelism(inputTransformation.getParallelism)
> {code}
>  



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