Vladimir Steshin created IGNITE-25218:
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             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 |



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