xiedeyantu commented on code in PR #4315:
URL: https://github.com/apache/calcite/pull/4315#discussion_r2051435472


##########
core/src/test/resources/org/apache/calcite/test/RelOptRulesTest.xml:
##########
@@ -6752,6 +6752,51 @@ LogicalProject(EMPNO=[$0], ENAME=[$1], JOB=[$2], 
MGR=[$3], HIREDATE=[$4], SAL=[$
     LogicalJoin(condition=[AND(=($3, $12), <>($0, $9))], joinType=[inner])
       LogicalTableScan(table=[[CATALOG, SALES, EMP]])
       LogicalTableScan(table=[[CATALOG, SALES, EMP]])
+]]>
+    </Resource>
+  </TestCase>
+  <TestCase name="testJoinConditionOrExpansionRule2">
+    <Resource name="sql">
+      <![CDATA[select * from empnullables as t1 inner join empnullables as t2
+on (t1.empno = t2.empno
+and t1.job = 'Job1'
+and t1.ename in ('a', 'bb', 'cc')
+and t1.sal > 120 and t1.sal < 3000
+and t1.mgr = t1.comm)
+or
+(t1.deptno = t2.deptno
+and t2.job = 'Job2'
+and t2.ename in ('a', 'bb', 'cc')
+and t2.sal > 110 and t2.sal < 3000
+and t1.mgr + 10 < ln(15))
+or
+(t1.ename = 'Jensen'
+and t2.comm > 10)
+or
+t1.mgr between 10.0 and 20
+]]>
+    </Resource>
+    <Resource name="planBefore">
+      <![CDATA[
+LogicalProject(EMPNO=[$0], ENAME=[$1], JOB=[$2], MGR=[$3], HIREDATE=[$4], 
SAL=[$5], COMM=[$6], DEPTNO=[$7], SLACKER=[$8], EMPNO0=[$9], ENAME0=[$10], 
JOB0=[$11], MGR0=[$12], HIREDATE0=[$13], SAL0=[$14], COMM0=[$15], 
DEPTNO0=[$16], SLACKER0=[$17])
+  LogicalJoin(condition=[OR(AND(=($0, $9), =($2, 'Job1'), SEARCH($1, 
Sarg['a':VARCHAR(20), 'bb':VARCHAR(20), 'cc':VARCHAR(20)]:VARCHAR(20)), 
SEARCH($5, Sarg[(120..3000)]), =($3, $6)), AND(=($7, $16), =($11, 'Job2'), 
SEARCH($10, Sarg['a':VARCHAR(20), 'bb':VARCHAR(20), 
'cc':VARCHAR(20)]:VARCHAR(20)), SEARCH($14, Sarg[(110..3000)]), <(CAST(+($3, 
10)):DOUBLE, LN(15))), AND(=($1, 'Jensen'), >($15, 10)), 
SEARCH(CAST($3):DECIMAL(11, 1), Sarg[[10.0:DECIMAL(11, 1)..20.0:DECIMAL(11, 
1)]]:DECIMAL(11, 1)))], joinType=[inner])
+    LogicalTableScan(table=[[CATALOG, SALES, EMPNULLABLES]])
+    LogicalTableScan(table=[[CATALOG, SALES, EMPNULLABLES]])
+]]>
+    </Resource>
+    <Resource name="planAfter">
+      <![CDATA[
+LogicalProject(EMPNO=[$0], ENAME=[$1], JOB=[$2], MGR=[$3], HIREDATE=[$4], 
SAL=[$5], COMM=[$6], DEPTNO=[$7], SLACKER=[$8], EMPNO0=[$9], ENAME0=[$10], 
JOB0=[$11], MGR0=[$12], HIREDATE0=[$13], SAL0=[$14], COMM0=[$15], 
DEPTNO0=[$16], SLACKER0=[$17])
+  LogicalUnion(all=[true])
+    LogicalJoin(condition=[AND(=($0, $9), =($2, 'Job1'), SEARCH($1, 
Sarg['a':VARCHAR(20), 'bb':VARCHAR(20), 'cc':VARCHAR(20)]:VARCHAR(20)), 
SEARCH($5, Sarg[(120..3000)]), =($3, $6))], joinType=[inner])
+      LogicalTableScan(table=[[CATALOG, SALES, EMPNULLABLES]])
+      LogicalTableScan(table=[[CATALOG, SALES, EMPNULLABLES]])
+    LogicalJoin(condition=[AND(=($7, $16), =($11, 'Job2'), SEARCH($10, 
Sarg['a':VARCHAR(20), 'bb':VARCHAR(20), 'cc':VARCHAR(20)]:VARCHAR(20)), 
SEARCH($14, Sarg[(110..3000)]), <(CAST(+($3, 10)):DOUBLE, LN(15)), OR(<>($0, 
$9), <>($2, 'Job1'), SEARCH($1, Sarg[(-∞..'a':VARCHAR(20)), 
('a':VARCHAR(20)..'bb':VARCHAR(20)), ('bb':VARCHAR(20)..'cc':VARCHAR(20)), 
('cc':VARCHAR(20)..+∞)]:VARCHAR(20)), SEARCH($5, Sarg[(-∞..120], [3000..+∞)]), 
<>($3, $6)))], joinType=[inner])
+      LogicalTableScan(table=[[CATALOG, SALES, EMPNULLABLES]])
+      LogicalTableScan(table=[[CATALOG, SALES, EMPNULLABLES]])
+    LogicalJoin(condition=[AND(OR(AND(=($1, 'Jensen'), >($15, 10)), 
SEARCH(CAST($3):DECIMAL(11, 1), Sarg[[10.0:DECIMAL(11, 1)..20.0:DECIMAL(11, 
1)]]:DECIMAL(11, 1))), OR(<>($0, $9), <>($2, 'Job1'), SEARCH($1, 
Sarg[(-∞..'a':VARCHAR(20)), ('a':VARCHAR(20)..'bb':VARCHAR(20)), 
('bb':VARCHAR(20)..'cc':VARCHAR(20)), ('cc':VARCHAR(20)..+∞)]:VARCHAR(20)), 
SEARCH($5, Sarg[(-∞..120], [3000..+∞)]), <>($3, $6)), OR(<>($7, $16), <>($11, 
'Job2'), SEARCH($10, Sarg[(-∞..'a':VARCHAR(20)), 
('a':VARCHAR(20)..'bb':VARCHAR(20)), ('bb':VARCHAR(20)..'cc':VARCHAR(20)), 
('cc':VARCHAR(20)..+∞)]:VARCHAR(20)), SEARCH($14, Sarg[(-∞..110], [3000..+∞)]), 
>=(CAST(+($3, 10)):DOUBLE, LN(15))))], joinType=[inner])

Review Comment:
   Although the table is expanded into multiple joins in this plan, the 
underlying table data remains unchanged. If the executor can implement reuse 
mechanisms(such as spark ReuseExchange), additional performance gains should be 
achievable.



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