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Posted to dev@drill.apache.org by "Abhishek Girish (JIRA)" <ji...@apache.org> on 2015/02/21 02:26:11 UTC

[jira] [Created] (DRILL-2285) Query fails when IN operator is provided a NULL literal

Abhishek Girish created DRILL-2285:
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             Summary: Query fails when IN operator is provided a NULL literal
                 Key: DRILL-2285
                 URL: https://issues.apache.org/jira/browse/DRILL-2285
             Project: Apache Drill
          Issue Type: Bug
          Components: Execution - Relational Operators
    Affects Versions: 0.8.0
            Reporter: Abhishek Girish
            Assignee: Chris Westin


Query 1 (Invalid literal):
> select * from store_sales where ss_cdemo_sk in (abc) limit 1;
No rows selected

Query 2
> select * from store_sales where ss_cdemo_sk in (null, 1046098) limit 1;
Query failed: RelOptPlanner.CannotPlanException: Node [rel#8578:Subset#6.LOGICAL.ANY([]).[]] could not be implemented; planner state:

Root: rel#8578:Subset#6.LOGICAL.ANY([]).[]
Original rel:
AbstractConverter(subset=[rel#8578:Subset#6.LOGICAL.ANY([]).[]], convention=[LOGICAL], DrillDistributionTraitDef=[ANY([])], sort=[[]]): rowcount = 1.7976931348623157E308, cumulative cost = {inf}, id = 8579
  SortRel(subset=[rel#8577:Subset#6.NONE.ANY([]).[]], fetch=[1]): rowcount = 1.7976931348623157E308, cumulative cost = {Infinity rows, 1.7976931348623157E308 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 8576
    ProjectRel(subset=[rel#8575:Subset#5.NONE.ANY([]).[]], *=[$0]): rowcount = 1.7976931348623157E308, cumulative cost = {1.7976931348623157E308 rows, 1.7976931348623157E308 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 8574
      JoinRel(subset=[rel#8573:Subset#4.NONE.ANY([]).[]], condition=[=($2, $3)], joinType=[inner]): rowcount = 1.7976931348623157E308, cumulative cost = {1.7976931348623157E308 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 8572
        ProjectRel(subset=[rel#8568:Subset#1.NONE.ANY([]).[]], $f0=[$0], $f1=[$1], $f2=[$1]): rowcount = 100.0, cumulative cost = {100.0 rows, 300.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 8567
          EnumerableTableAccessRel(subset=[rel#8566:Subset#0.ENUMERABLE.ANY([]).[]], table=[[dfs, tpcds1_par, store_sales]]): rowcount = 100.0, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 8547
        AggregateRel(subset=[rel#8571:Subset#3.NONE.ANY([]).[]], group=[{0}]): rowcount = 1.7976931348623158E307, cumulative cost = {1.7976931348623158E307 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 8570
          ValuesRel(subset=[rel#8569:Subset#2.NONE.ANY([]).[]], tuples=[[{ null }, { 1046098 }]]): rowcount = 2.0, cumulative cost = {2.0 rows, 1.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 8549

Sets:
Set#0, type: (DrillRecordRow[*, ss_cdemo_sk])
	rel#8566:Subset#0.ENUMERABLE.ANY([]).[], best=rel#8547, importance=0.5904900000000001
...
...

Query 2 must not fail and should return results similar to Query 1. And if the expected behavior is right, the error message must be fixed. 



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