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Posted to issues@calcite.apache.org by "Julian Hyde (Jira)" <ji...@apache.org> on 2026/02/28 21:31:00 UTC
[jira] [Assigned] (CALCITE-7420) Convert RelOptRulesTest to Quidem scripts
[ https://issues.apache.org/jira/browse/CALCITE-7420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Julian Hyde reassigned CALCITE-7420:
------------------------------------
Assignee: Julian Hyde
> Convert RelOptRulesTest to Quidem scripts
> -----------------------------------------
>
> Key: CALCITE-7420
> URL: https://issues.apache.org/jira/browse/CALCITE-7420
> Project: Calcite
> Issue Type: Bug
> Reporter: Julian Hyde
> Assignee: Julian Hyde
> Priority: Major
> Labels: pull-request-available
>
> Many test cases in RelOptRulesTest are simple - involve just a SQL query, set of rules, before and after plan. If these were converted to Quidem scripts they would be easier to write (because you are writing just one file), more maintainable (because Quidem scripts merge more easily than XML), and could potentially be run from another language (which would enable ports of Calcite to language such as Rust or Python).
> Here is how one test would look:
> {noformat}
> # Pull aggregate through union ====================
> # Tests that AggregateUnionAggregateRule can convert
> # a union of two ’select distinct’ queries to a ’select distinct’
> # of a union.
> !set rules "AGGREGATE_UNION_AGGREGATE"
> select deptno, job
> from (select deptno, job
> from emp as e1
> group by deptno, job
> union all
> select deptno, job
> from emp as e2
> group by deptno, job)
> group by deptno, job;
> +--------+-----------+
> | DEPTNO | JOB |
> +--------+-----------+
> | 20 | CLERK |
> | 30 | SALESMAN |
> | 20 | MANAGER |
> | 30 | MANAGER |
> | 10 | MANAGER |
> | 20 | ANALYST |
> | 10 | PRESIDENT |
> | 30 | CLERK |
> | 10 | CLERK |
> +--------+-----------+
> (9 rows)
> !ok
> LogicalAggregate(group=[{0, 1}])
> LogicalUnion(all=[true])
> LogicalAggregate(group=[{0, 1}])
> LogicalProject(DEPTNO=[$7], JOB=[$2])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> LogicalAggregate(group=[{0, 1}])
> LogicalProject(DEPTNO=[$7], JOB=[$2])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> !plan-before
> LogicalAggregate(group=[{0, 1}])
> LogicalUnion(all=[true])
> LogicalProject(DEPTNO=[$7], JOB=[$2])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> LogicalProject(DEPTNO=[$7], JOB=[$2])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> !plan-after
> {noformat}
>
> It has the same information as the Java method
> {code:java}
> @Test void testPullAggregateThroughUnion() {
> final String sql = "select deptno, job from"
> + " (select deptno, job from emp as e1"
> + " group by deptno,job"
> + " union all"
> + " select deptno, job from emp as e2"
> + " group by deptno,job)"
> + " group by deptno,job";
> sql(sql)
> .withRule(CoreRules.AGGREGATE_UNION_AGGREGATE)
> .check();
> }
> {code}
> and XML resources
> {code:xml}
> <TestCase name="testPullAggregateThroughUnion">
> <Resource name="sql">
> <![CDATA[select deptno, job from (select deptno, job from emp as e1 group by deptno,job union all select deptno, job from emp as e2 group by deptno,job) group by deptno,job]]>
> </Resource>
> <Resource name="planBefore">
> <![CDATA[
> LogicalAggregate(group=[{0, 1}])
> LogicalUnion(all=[true])
> LogicalAggregate(group=[{0, 1}])
> LogicalProject(DEPTNO=[$7], JOB=[$2])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> LogicalAggregate(group=[{0, 1}])
> LogicalProject(DEPTNO=[$7], JOB=[$2])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> ]]>
> </Resource>
> {code}
> It uses {{!set rules}} command (added in CALCITE-6335) and would require new {{!plan-before}} and {{!plan-after}} commands.
> I suspect that Claude would do a quite good job migrating tests from .java and .xml to .iq. I think it could also group tests by subject area (e.g. join and aggregate) so that .iq files are ~1,000 lines.
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