[ 
https://issues.apache.org/jira/browse/DRILL-4105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15009173#comment-15009173
 ] 

Rahul Challapalli commented on DRILL-4105:
------------------------------------------

Below is the stack trace for the failure
{code}
2015-11-17 18:13:44,856 [29b491a6-b3a3-1f86-f2d8-a66ec0c1e565:foreman] ERROR 
o.a.d.e.p.s.h.DefaultSqlHandler - Node 
[rel#485302:Subset#8.PHYSICAL.SINGLETON([]).[]] could not be implemented; 
planner state:

Root: rel#485302:Subset#8.PHYSICAL.SINGLETON([]).[]
Original rel:
AbstractConverter(subset=[rel#485302:Subset#8.PHYSICAL.SINGLETON([]).[]], 
convention=[PHYSICAL], DrillDistributionTraitDef=[SINGLETON([])], sort=[[]]): 
rowcount = 9.0525765625E8, cumulative cost = {inf}, id = 485304
  DrillScreenRel(subset=[rel#485301:Subset#8.LOGICAL.ANY([]).[]]): rowcount = 
9.0525765625E8, cumulative cost = {9.0525765625E7 rows, 9.0525765625E7 cpu, 0.0 
io, 0.0 network, 0.0 memory}, id = 485300
    DrillProjectRel(subset=[rel#485299:Subset#7.LOGICAL.ANY([]).[]], *=[$0], 
*0=[$2]): rowcount = 9.0525765625E8, cumulative cost = {0.0 rows, 0.0 cpu, 0.0 
io, 0.0 network, 0.0 memory}, id = 485298
      DrillFilterRel(subset=[rel#485297:Subset#6.LOGICAL.ANY([]).[]], 
condition=[CASE(IS NOT NULL($3), =($1, $3), =($1, 'asdf'))]): rowcount = 
9.0525765625E8, cumulative cost = {3.621030625E9 rows, 1.8105153125E10 cpu, 0.0 
io, 0.0 network, 0.0 memory}, id = 485296
        DrillJoinRel(subset=[rel#485295:Subset#5.LOGICAL.ANY([]).[]], 
condition=[true], joinType=[inner]): rowcount = 3.621030625E9, cumulative cost 
= {3.621030625E9 rows, 1.2035E10 cpu, 0.0 io, 0.0 network, 1.05908E10 memory}, 
id = 485294
          DrillScanRel(subset=[rel#485293:Subset#4.LOGICAL.ANY([]).[]], 
table=[[cp, tpch/lineitem.parquet]], groupscan=[ParquetGroupScan 
[entries=[ReadEntryWithPath [path=classpath:/tpch/lineitem.parquet]], 
selectionRoot=classpath:/tpch/lineitem.parquet, numFiles=1, 
usedMetadataFile=false, columns=[`*`]]]): rowcount = 60175.0, cumulative cost = 
{60175.0 rows, 6.0175E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 485270
          DrillScanRel(subset=[rel#485293:Subset#4.LOGICAL.ANY([]).[]], 
table=[[cp, tpch/lineitem.parquet]], groupscan=[ParquetGroupScan 
[entries=[ReadEntryWithPath [path=classpath:/tpch/lineitem.parquet]], 
selectionRoot=classpath:/tpch/lineitem.parquet, numFiles=1, 
usedMetadataFile=false, columns=[`*`]]]): rowcount = 60175.0, cumulative cost = 
{60175.0 rows, 6.0175E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 485270

Sets:
Set#4, type: (DrillRecordRow[*, l_comment])
        rel#485293:Subset#4.LOGICAL.ANY([]).[], best=rel#485270, 
importance=0.5904900000000001
                rel#485270:DrillScanRel.LOGICAL.ANY([]).[](table=[cp, 
tpch/lineitem.parquet],groupscan=ParquetGroupScan [entries=[ReadEntryWithPath 
[path=classpath:/tpch/lineitem.parquet]], 
selectionRoot=classpath:/tpch/lineitem.parquet, numFiles=1, 
usedMetadataFile=false, columns=[`*`]]), rowcount=60175.0, cumulative 
cost={60175.0 rows, 6.0175E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
                
rel#485329:AbstractConverter.LOGICAL.ANY([]).[](input=rel#485328:Subset#4.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
 rowcount=60175.0, cumulative cost={inf}
        rel#485328:Subset#4.PHYSICAL.SINGLETON([]).[], best=rel#485327, 
importance=0.531441
                
rel#485330:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#485293:Subset#4.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
 rowcount=60175.0, cumulative cost={inf}
                
rel#485327:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan 
[entries=[ReadEntryWithPath [path=classpath:/tpch/lineitem.parquet]], 
selectionRoot=classpath:/tpch/lineitem.parquet, numFiles=1, 
usedMetadataFile=false, columns=[`*`]]), rowcount=60175.0, cumulative 
cost={60175.0 rows, 120350.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#5, type: RecordType(ANY *, ANY l_comment, ANY *0, ANY l_comment0)
        rel#485295:Subset#5.LOGICAL.ANY([]).[], best=rel#485294, 
importance=0.6561
                
rel#485294:DrillJoinRel.LOGICAL.ANY([]).[](left=rel#485293:Subset#4.LOGICAL.ANY([]).[],right=rel#485293:Subset#4.LOGICAL.ANY([]).[],condition=true,joinType=inner),
 rowcount=3.621030625E9, cumulative cost={3.621150975E9 rows, 1.32385E10 cpu, 
0.0 io, 0.0 network, 1.05908E10 memory}
                
rel#485323:AbstractConverter.LOGICAL.ANY([]).[](input=rel#485322:Subset#5.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
 rowcount=3.621030625E9, cumulative cost={inf}
        rel#485322:Subset#5.PHYSICAL.ANY([]).[], best=null, 
importance=0.5904900000000001
                
rel#485324:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#485295:Subset#5.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
 rowcount=3.621030625E9, cumulative cost={inf}
Set#6, type: RecordType(ANY *, ANY l_comment, ANY *0, ANY l_comment0)
        rel#485297:Subset#6.LOGICAL.ANY([]).[], best=rel#485296, 
importance=0.7290000000000001
                
rel#485296:DrillFilterRel.LOGICAL.ANY([]).[](input=rel#485295:Subset#5.LOGICAL.ANY([]).[],condition=CASE(IS
 NOT NULL($3), =($1, $3), =($1, 'asdf'))), rowcount=9.0525765625E8, cumulative 
cost={7.2421816E9 rows, 3.1343653125E10 cpu, 0.0 io, 0.0 network, 1.05908E10 
memory}
                
rel#485311:AbstractConverter.LOGICAL.ANY([]).[](input=rel#485310:Subset#6.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
        rel#485310:Subset#6.PHYSICAL.ANY([]).[], best=null, importance=0.6561
                
rel#485312:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#485297:Subset#6.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
                
rel#485325:FilterPrel.PHYSICAL.ANY([]).[](input=rel#485322:Subset#5.PHYSICAL.ANY([]).[],condition=CASE(IS
 NOT NULL($3), =($1, $3), =($1, 'asdf'))), rowcount=9.0525765625E8, cumulative 
cost={inf}
Set#7, type: RecordType(ANY *, ANY *0)
        rel#485299:Subset#7.LOGICAL.ANY([]).[], best=rel#485298, importance=0.81
                
rel#485298:DrillProjectRel.LOGICAL.ANY([]).[](input=rel#485297:Subset#6.LOGICAL.ANY([]).[],*=$0,*0=$2),
 rowcount=9.0525765625E8, cumulative cost={7.242181601E9 rows, 3.1343653126E10 
cpu, 0.0 io, 0.0 network, 1.05908E10 memory}
                
rel#485306:AbstractConverter.LOGICAL.ANY([]).[](input=rel#485305:Subset#7.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
                
rel#485315:AbstractConverter.LOGICAL.ANY([]).[](input=rel#485314:Subset#7.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
        rel#485305:Subset#7.PHYSICAL.SINGLETON([]).[], best=null, 
importance=0.7290000000000001
                
rel#485307:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#485299:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
                
rel#485316:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#485314:Subset#7.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
                
rel#485319:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#485314:Subset#7.PHYSICAL.RANDOM_DISTRIBUTED([]).[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
        rel#485314:Subset#7.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=null, 
importance=0.6561
                
rel#485317:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#485299:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
                
rel#485318:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#485305:Subset#7.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
                
rel#485313:ProjectPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#485310:Subset#6.PHYSICAL.ANY([]).[],*=$0,*0=$2),
 rowcount=9.0525765625E8, cumulative cost={inf}
Set#8, type: RecordType(ANY *, ANY *0)
        rel#485301:Subset#8.LOGICAL.ANY([]).[], best=rel#485300, importance=0.9
                
rel#485300:DrillScreenRel.LOGICAL.ANY([]).[](input=rel#485299:Subset#7.LOGICAL.ANY([]).[]),
 rowcount=9.0525765625E8, cumulative cost={7.332707366625E9 rows, 
3.1434178891625E10 cpu, 0.0 io, 0.0 network, 1.05908E10 memory}
                
rel#485303:AbstractConverter.LOGICAL.ANY([]).[](input=rel#485302:Subset#8.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
        rel#485302:Subset#8.PHYSICAL.SINGLETON([]).[], best=null, importance=1.0
                
rel#485304:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#485301:Subset#8.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
 rowcount=9.0525765625E8, cumulative cost={inf}
                
rel#485308:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=rel#485305:Subset#7.PHYSICAL.SINGLETON([]).[]),
 rowcount=9.0525765625E8, cumulative cost={inf}


2015-11-17 18:13:44,856 [29b491a6-b3a3-1f86-f2d8-a66ec0c1e565:foreman] INFO  
o.a.d.e.planner.sql.DrillSqlWorker - User Error Occurred
org.apache.drill.common.exceptions.UserException: UNSUPPORTED_OPERATION ERROR: 
This query cannot be planned possibly due to either a cartesian join or an 
inequality join

[Error Id: d0b75ac0-6d39-4fb0-bc48-13e52fa4abf2 ]
        at 
org.apache.drill.common.exceptions.UserException$Builder.build(UserException.java:534)
 ~[drill-common-1.4.0-SNAPSHOT.jar:1.4.0-SNAPSHOT]
        at 
org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:194)
 [drill-java-exec-1.4.0-SNAPSHOT.jar:1.4.0-SNAPSHOT]
        at org.apache.drill.exec.work.foreman.Foreman.runSQL(Foreman.java:905) 
[drill-java-exec-1.4.0-SNAPSHOT.jar:1.4.0-SNAPSHOT]
        at org.apache.drill.exec.work.foreman.Foreman.run(Foreman.java:244) 
[drill-java-exec-1.4.0-SNAPSHOT.jar:1.4.0-SNAPSHOT]
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) 
[na:1.7.0_71]
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) 
[na:1.7.0_71]
        at java.lang.Thread.run(Thread.java:745) [na:1.7.0_71]
Caused by: org.apache.drill.exec.work.foreman.UnsupportedRelOperatorException: 
This query cannot be planned possibly due to either a cartesian join or an 
inequality join
        at 
org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.convertToPrel(DefaultSqlHandler.java:283)
 ~[drill-java-exec-1.4.0-SNAPSHOT.jar:1.4.0-SNAPSHOT]
        at 
org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.getPlan(DefaultSqlHandler.java:167)
 ~[drill-java-exec-1.4.0-SNAPSHOT.jar:1.4.0-SNAPSHOT]
        at 
org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:184)
 [drill-java-exec-1.4.0-SNAPSHOT.jar:1.4.0-SNAPSHOT]
        ... 5 common frames omitted
{code}

> Constant Folding and coalesce function with 3 parameters gives cannot plan 
> exception
> ------------------------------------------------------------------------------------
>
>                 Key: DRILL-4105
>                 URL: https://issues.apache.org/jira/browse/DRILL-4105
>             Project: Apache Drill
>          Issue Type: Bug
>          Components: Query Planning & Optimization
>    Affects Versions: 1.3.0
>            Reporter: Rahul Challapalli
>
> git.commit.id.abbrev=447f8ba
> The below query results in a cannot plan exception
> {code}
> select * from cp.`tpch/lineitem.parquet` d1, cp.`tpch/lineitem.parquet` d2 
> where d1.l_comment = coalesce(d2.l_comment, 'asdf', d2.l_comment);
> Error: UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due 
> to either a cartesian join or an inequality join
> [Error Id: d0b75ac0-6d39-4fb0-bc48-13e52fa4abf2 on qa-node190.qa.lab:31010] 
> (state=,code=0)
> {code}
> However the query executes fine if I disabled constant folding.



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