Vladimir Steshin created IGNITE-25218: -----------------------------------------
Summary: Calcite. Revise joins rows estimation. Key: IGNITE-25218 URL: https://issues.apache.org/jira/browse/IGNITE-25218 Project: Ignite Issue Type: Improvement Environment: *strong text* Reporter: Vladimir Steshin Current TPCH queries #5, #7 are slow (scale 0.1). Let's consider *#5*. The *plan* is: {code:java} IgniteSort(sort0=[$1], dir0=[DESC-nulls-last]) IgniteColocatedHashAggregate(group=[{0}], REVENUE=[SUM($1)]) IgniteProject(N_NAME=[$12], $f1=[*($7, -(1, $8))]) [1] IgniteNestedLoopJoin(condition=[AND(=($4, $10), =($5, $0))], joinType=[inner]) [2] IgniteMergeJoin(condition=[=($3, $1)], joinType=[inner], leftCollation=[[1 ASC-nulls-first, 0 ASC-nulls-first]], rightCollation=[[0 ASC-nulls-first]]) IgniteExchange(distribution=[single]) IgniteIndexScan(table=[[PUBLIC, ORDERS]], index=[O_CK_proxy], filters=[AND(>=($t2, 1994-01-01), <($t2, +(1994-01-01, *(12:INTERVAL YEAR, 1))))], requiredColumns=[{2, 3, 6}], collation=[[3 ASC-nulls-first, 2 ASC-nulls-first]]) IgniteExchange(distribution=[single]) IgniteIndexScan(table=[[PUBLIC, CUSTOMER]], index=[_key_PK_proxy], requiredColumns=[{2, 5}], collation=[[2 ASC-nulls-first]]) [3] IgniteNestedLoopJoin(condition=[=($1, $4)], joinType=[inner]) IgniteExchange(distribution=[single]) IgniteTableScan(table=[[PUBLIC, LINEITEM]], requiredColumns=[{2, 4, 7, 8}]) [4] IgniteMergeJoin(condition=[=($1, $2)], joinType=[inner], leftCollation=[[1 ASC-nulls-first, 0 ASC-nulls-first]], rightCollation=[[0 ASC-nulls-first]]) IgniteExchange(distribution=[single]) IgniteIndexScan(table=[[PUBLIC, SUPPLIER]], index=[S_NK_proxy], requiredColumns=[{2, 5}], collation=[[5 ASC-nulls-first, 2 ASC-nulls-first]]) [5] IgniteNestedLoopJoin(condition=[=($2, $3)], joinType=[inner]) IgniteExchange(distribution=[single]) IgniteIndexScan(table=[[PUBLIC, NATION]], index=[_key_PK_proxy], requiredColumns=[{2, 3, 4}], collation=[[2 ASC-nulls-first]]) IgniteExchange(distribution=[single]) IgniteTableScan(table=[[PUBLIC, REGION]], filters=[=($t1, _UTF-8'ASIA')], requiredColumns=[{2, 3}]) {code} The *problem is the NL join [1]*. /*+ MERGE_JOIN */ fixes the issue. Calcite chooses NL because *estimanes only few rows* on its inputs. Consider estimations of join rows production against real issued join rows numbers of this query: || Join || Estimated rows || Created rows || | [1] | 0.0225 | 865 | | [2] | 2250 | 22958 | | [3] | 0.15 | 134374 | | [4] | 0.15 | 225 | | [5] | 0.0225 | 5 | -- This message was sent by Atlassian Jira (v8.20.10#820010)