Zhibin Zhou created CALCITE-3070:
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Summary: Inner join between MySQL tables produce wrong results if
join order changed
Key: CALCITE-3070
URL: https://issues.apache.org/jira/browse/CALCITE-3070
Project: Calcite
Issue Type: Bug
Components: core, jdbc-adapter
Affects Versions: 1.19.0
Reporter: Zhibin Zhou
Attachments: log.txt
Summary of issue:
* We are trying to inner join 2 MySQL tables.
** persons table: a very small table
** foodmart table: a large table
* The query produce different results if we change the join order in the
"from" clause: "from A join B" vs "from B join A". One query produces correct
results while the other query produces empty results.
* The physical plan generated for the produce-empty query was not optimal. it
tried to scan be big table.
Working query and physical plan:
select "t2"."product_name", "t2"."customer_id" from
"foodmart-mysql"."foodmart" as "t2" join "persons"."persons" as "t1"
on"t1"."person_id_int"="t2"."customer_id" and"t2"."timestamp" >= '1997-02-12
00:00:00' and "t2"."timestamp" < '1997-02-12 00:01:00'
EnumerableCalc(expr#0..4=[\{inputs}], proj#0..1=[\{exprs}]): rowcount = 375.0,
cumulative cost = \{1287.971895621705 rows, 3719.5 cpu, 0.0 io}, id = 671
EnumerableJoin(condition=[=($1, $4)], joinType=[inner]): rowcount = 375.0,
cumulative cost = \{912.971895621705 rows, 1094.5 cpu, 0.0 io}, id = 667
JdbcToEnumerableConverter: rowcount = 25.0, cumulative cost = \{147.5 rows,
283.5 cpu, 0.0 io}, id = 660
JdbcProject(product_name=[$5], customer_id=[$22], $f85=[>=($78, 1997-02-12
00:00:00)], $f86=[<($78, 1997-02-12 00:01:00)]): rowcount = 25.0, cumulative
cost = \{145.0 rows, 281.0 cpu, 0.0 io}, id = 658
JdbcFilter(condition=[AND(>=($78, 1997-02-12 00:00:00), <($78, 1997-02-12
00:01:00))]): rowcount = 25.0, cumulative cost = \{125.0 rows, 201.0 cpu, 0.0
io}, id = 656
JdbcTableScan(table=[[foodmart-mysql, foodmart]]): rowcount = 100.0,
cumulative cost = \{100.0 rows, 101.0 cpu, 0.0 io}, id = 340
EnumerableCalc(expr#0..5=[\{inputs}], person_id_int=[$t5]): rowcount = 100.0,
cumulative cost = \{210.0 rows, 811.0 cpu, 0.0 io}, id = 673
JdbcToEnumerableConverter: rowcount = 100.0, cumulative cost = \{110.0 rows,
111.0 cpu, 0.0 io}, id = 663
JdbcTableScan(table=[[persons, persons]]): rowcount = 100.0, cumulative cost =
\{100.0 rows, 101.0 cpu, 0.0 io}, id = 341
Produce-empty query and physical plan:
select "t2"."product_name", "t2"."customer_id" from
"persons"."persons" as "t1" join "foodmart-mysql"."foodmart" as "t2" on
"t1"."person_id_int"="t2"."customer_id" and"t2"."timestamp" >= '1997-02-12
00:00:00' and "t2"."timestamp" < '1997-02-12 00:01:00'
EnumerableCalc(expr#0..4=[\{inputs}], proj#0..1=[\{exprs}]): rowcount = 375.0,
cumulative cost = \{1255.471895621705 rows, 12427.0 cpu, 0.0 io}, id = 334
EnumerableJoin(condition=[=($1, $4)], joinType=[inner]): rowcount = 375.0,
cumulative cost = \{880.471895621705 rows, 9802.0 cpu, 0.0 io}, id = 328
EnumerableCalc(expr#0..84=[\{inputs}], expr#85=[1997-02-12 00:00:00],
expr#86=[>=($t78, $t85)], expr#87=[1997-02-12 00:01:00], expr#88=[<($t78,
$t87)], expr#89=[AND($t86, $t88)], product_name=[$t5], customer_id=[$t22],
$f85=[$t86], $f86=[$t88], $condition=[$t89]): rowcount = 25.0, cumulative cost
= \{135.0 rows, 9611.0 cpu, 0.0 io}, id = 338
JdbcToEnumerableConverter: rowcount = 100.0, cumulative cost = \{110.0 rows,
111.0 cpu, 0.0 io}, id = 317
JdbcTableScan(table=[[foodmart-mysql, foodmart]]): rowcount = 100.0,
cumulative cost = \{100.0 rows, 101.0 cpu, 0.0 io}, id = 1
JdbcToEnumerableConverter: rowcount = 100.0, cumulative cost = \{190.0 rows,
191.0 cpu, 0.0 io}, id = 326
JdbcProject(person_id_int=[$5]): rowcount = 100.0, cumulative cost = \{180.0
rows, 181.0 cpu, 0.0 io}, id = 324
JdbcTableScan(table=[[persons, persons]]): rowcount = 100.0, cumulative cost =
\{100.0 rows, 101.0 cpu, 0.0 io}, id = 0
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