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https://issues.apache.org/jira/browse/SPARK-49555?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17898739#comment-17898739
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Dongjoon Hyun commented on SPARK-49555:
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I added a label, `releasenotes`.
> SQL Pipe Syntax
> ---------------
>
> Key: SPARK-49555
> URL: https://issues.apache.org/jira/browse/SPARK-49555
> Project: Spark
> Issue Type: Umbrella
> Components: SQL
> Affects Versions: 4.0.0
> Reporter: Daniel
> Priority: Major
> Labels: releasenotes
>
> This umbrella Jira ticket tracks implementing new support for issuing SQL
> queries using pipe syntax.
> The objective is to make it easy to compose queries by specifying a sequence
> of SQL clauses separated by the pipe token |> wherein each operator
> represents a fully-defined transformation of the preceding relation. Each
> pipe operator may refer to the names and rows generated by the preceding pipe
> operator only; otherwise, each step is stateless.
> * Research paper:
> [https://research.google/pubs/sql-has-problems-we-can-fix-them-pipe-syntax-in-sql/]
> * Open-source ZetaSQL implementation:
> [https://github.com/google/zetasql/blob/master/docs/pipe-syntax.md]
> * Spark prototype: https://github.com/apache/spark/pull/47837
>
> For example, here's query 13 from TPC-H:
>
> SELECT c_count, COUNT( * ) AS custdist FROM
> (SELECT c_custkey, COUNT(o_orderkey) c_count FROM customer
> LEFT OUTER JOIN orders ON c_custkey = o_custkey
> AND o_comment NOT LIKE '%unusual%packages%' GROUP BY c_custkey) AS c_orders
> GROUP BY c_count
> ORDER BY custdist DESC, c_count DESC;
>
> With the new syntax, it becomes:
>
> FROM customer
> |> LEFT OUTER JOIN orders ON c_custkey = o_custkey
> AND o_comment NOT LIKE '%unusual%packages%'
> |> AGGREGATE COUNT(o_orderkey) c_count
> GROUP BY c_custkey
> |> AGGREGATE COUNT( * ) AS custdist
> GROUP BY c_count
> |> ORDER BY custdist DESC, c_count DESC;
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