IGNITE-28526 Fix flaky RexSimplificationPlannerTest.testExtractCommonDisjunctionPart

[zstan]

plan from failed logs:

IgniteIndexScan(table=[[PUBLIC, T1]], index=[IDX1], filters=[AND(=($t1, 0), =($t0, 0), CASE(IS NULL($t2), null:BOOLEAN, OR(=(CAST($t2):INTEGER NOT NULL, 0), =(CAST($t2):INTEGER NOT NULL, 1), 
=(CAST($t2):INTEGER NOT NULL, 2))))], requiredColumns=[{0, 1, 2}], searchBounds=[[ExactBounds [bound=0], null, null]], inlineScan=[false], collation=[[0 ASC-nulls-first]]): rowcount = 4341.09375, cumulative cost = IgniteCost [rowCount=75001.0, cpu=300040.3670901322, memory=1.0, io=1.0, network=1.0], id = 1244437

plan from common master branch run:

IgniteIndexScan(table=[[PUBLIC, T1]], index=[IDX1], filters=[AND(=($t0, 0), =($t1, 0), CASE(IS NULL($t2), null:BOOLEAN, OR(=(CAST($t2):INTEGER NOT NULL, 0), =(CAST($t2):INTEGER NOT NULL, 1), 
=(CAST($t2):INTEGER NOT NULL, 2))))], requiredColumns=[{0, 1, 2}], searchBounds=[[ExactBounds [bound=0], null, null]], inlineScan=[false], collation=[[0 ASC-nulls-first]]): rowcount = 4341.09375, cumulative cost = IgniteCost [rowCount=75001.0, cpu=300040.3670901322, memory=1.0, io=1.0, network=1.0], id = 429 

here we can see that conditions are different: filters=[AND(=($t1, 0), =($t0, 0) vs filters=[AND(=($t0, 0), =($t1, 0)

[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud

[zstan]

plan from failed logs:

IgniteIndexScan(table=[[PUBLIC, T1]], index=[IDX1], filters=[AND(=($t1, 0), =($t0, 0), CASE(IS NULL($t2), null:BOOLEAN, OR(=(CAST($t2):INTEGER NOT NULL, 0), =(CAST($t2):INTEGER NOT NULL, 1), 
=(CAST($t2):INTEGER NOT NULL, 2))))], requiredColumns=[{0, 1, 2}], searchBounds=[[ExactBounds [bound=0], null, null]], inlineScan=[false], collation=[[0 ASC-nulls-first]]): rowcount = 4341.09375, cumulative cost = IgniteCost [rowCount=75001.0, cpu=300040.3670901322, memory=1.0, io=1.0, network=1.0], id = 1244437

plan from common master branch run:

IgniteIndexScan(table=[[PUBLIC, T1]], index=[IDX1], filters=[AND(=($t0, 0), =($t1, 0), CASE(IS NULL($t2), null:BOOLEAN, OR(=(CAST($t2):INTEGER NOT NULL, 0), =(CAST($t2):INTEGER NOT NULL, 1), 
=(CAST($t2):INTEGER NOT NULL, 2))))], requiredColumns=[{0, 1, 2}], searchBounds=[[ExactBounds [bound=0], null, null]], inlineScan=[false], collation=[[0 ASC-nulls-first]]): rowcount = 4341.09375, cumulative cost = IgniteCost [rowCount=75001.0, cpu=300040.3670901322, memory=1.0, io=1.0, network=1.0], id = 429 

here we can see that conditions are different: filters=[AND(=($t1, 0),
=($t0, 0) vs filters=[AND(=($t0, 0), =($t1, 0)