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https://issues.apache.org/jira/browse/SPARK-43025?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-43025:
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Labels: pull-request-available (was: )
> Eliminate Union if filters have the same child plan
> ---------------------------------------------------
>
> Key: SPARK-43025
> URL: https://issues.apache.org/jira/browse/SPARK-43025
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.5.0
> Reporter: Jiaan Geng
> Priority: Major
> Labels: pull-request-available
>
> There are a lot of SQL in user scenarios. Take an example,
> SELECT
> ss_item_sk,
> ss_ticket_number,
> ss_customer_sk
> FROM store_sales
> LEFT OUTER JOIN store_returns
> ON (sr_item_sk = ss_item_sk AND sr_ticket_number = ss_ticket_number)
> WHERE sr_return_amt > 10000
> UNION ALL
> SELECT
> ss_item_sk,
> ss_ticket_number,
> ss_customer_sk
> FROM store_sales
> LEFT OUTER JOIN store_returns
> ON (sr_item_sk = ss_item_sk AND sr_ticket_number = ss_ticket_number)
> WHERE sr_return_amt < 1000
> We can simplify this SQL as
> SELECT
> ss_item_sk,
> ss_ticket_number,
> ss_customer_sk
> FROM store_sales
> LEFT OUTER JOIN store_returns
> ON (sr_item_sk = ss_item_sk AND sr_ticket_number = ss_ticket_number)
> WHERE sr_return_amt > 10000 or sr_return_amt < 1000
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