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https://issues.apache.org/jira/browse/CALCITE-5284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17637108#comment-17637108
]
Ulrich Kramer commented on CALCITE-5284:
----------------------------------------
Hi [~zabetak],
thanks for your answer. Your suspicion was absolutely correct. Adding the same
logic from {{RelMdRowCount}} to {{JdbcSort::computeSeltCost}} solves the issue.
{code:java}
@Override public @Nullable RelOptCost computeSelfCost(RelOptPlanner planner,
RelMetadataQuery mq) {
RelOptCost cost = super.computeSelfCost(planner, mq);
if (cost == null) {
return null;
}
Double rowCount = cost.getRows();
if (rowCount == null ) {
return null;
}
if ( !rowCount.equals(0D)) {
final int offset = this.offset instanceof RexLiteral ?
RexLiteral.intValue(this.offset) : 0;
rowCount = Math.max(rowCount - offset, 0D);
final double limit =
this.fetch instanceof RexLiteral ? RexLiteral.intValue(this.fetch)
: rowCount;
cost = cost.multiplyBy(limit < rowCount ? limit : rowCount /
cost.getRows());
}
return cost.multiplyBy(0.9);
}
{code}
> JDBC rules create inefficient plan
> ----------------------------------
>
> Key: CALCITE-5284
> URL: https://issues.apache.org/jira/browse/CALCITE-5284
> Project: Calcite
> Issue Type: Bug
> Environment: Calcite 1.31.1. on Mac
> Reporter: Ulrich Kramer
> Priority: Major
>
> The following unit test for {{JdbcAdapterTest}} fails:
> {code:java}
> @Test void testOffset() {
> CalciteAssert.model(FoodmartSchema.FOODMART_MODEL)
> .query("select * from \"sales_fact_1997\" limit 10 offset 20")
> .explainContains("PLAN=JdbcToEnumerableConverter\n" +
> " JdbcSort(offset=[20], fetch=[10])\n" +
> " JdbcTableScan(table=[[foodmart, sales_fact_1997]])")
> .runs();
> }
> {code}
> For an offset less than 13, an efficient plan is created. With an offset
> above 13, the plan looks like this:
> {code}
> EnumerableLimit(offset=[20], fetch=[10])
> JdbcToEnumerableConverter
> JdbcTableScan(table=[[foodmart, sales_fact_1997]])
> {code}
> which can lead to enormous latency times, since the entire table is loaded
> via JDBC.
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