Khurram Faraaz created DRILL-3173:
-------------------------------------
Summary: Invalid inputs are NOT handled properly by Window
functions
Key: DRILL-3173
URL: https://issues.apache.org/jira/browse/DRILL-3173
Project: Apache Drill
Issue Type: Bug
Components: Query Planning & Optimization
Affects Versions: 1.0.0
Environment: faec150598840c40827e6493992d81209aa936da
Reporter: Khurram Faraaz
Assignee: Jinfeng Ni
Invalid input must be properly handled by window functions.
{code}
0: jdbc:drill:schema=dfs.tmp> select count(*) over ( partition by -1 order by
-1 ) from `airports.csv`;
Error: SYSTEM ERROR: org.apache.calcite.plan.RelOptPlanner$CannotPlanException:
Node [rel#1674:Subset#7.PHYSICAL.SINGLETON([]).[]] could not be implemented;
planner state:
Root: rel#1674:Subset#7.PHYSICAL.SINGLETON([]).[]
Original rel:
AbstractConverter(subset=[rel#1674:Subset#7.PHYSICAL.SINGLETON([]).[]],
convention=[PHYSICAL], DrillDistributionTraitDef=[SINGLETON([])], sort=[[]]):
rowcount = 69890.0, cumulative cost = {inf}, id = 1676
DrillScreenRel(subset=[rel#1673:Subset#7.LOGICAL.ANY([]).[]]): rowcount =
69890.0, cumulative cost = {6989.0 rows, 6989.0 cpu, 0.0 io, 0.0 network, 0.0
memory}, id = 1672
DrillProjectRel(subset=[rel#1671:Subset#6.LOGICAL.ANY([]).[]],
EXPR$0=[$0]): rowcount = 69890.0, cumulative cost = {0.0 rows, 0.0 cpu, 0.0 io,
0.0 network, 0.0 memory}, id = 1670
DrillWindowRel(subset=[rel#1669:Subset#5.LOGICAL.ANY([]).[]],
window#0=[window(partition {} order by [] range between UNBOUNDED PRECEDING and
CURRENT ROW aggs [COUNT()])]): rowcount = 69890.0, cumulative cost = {69890.0
rows, 139780.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 1668
DrillScanRel(subset=[rel#1667:Subset#4.LOGICAL.ANY([]).[]],
table=[[dfs, tmp, airports.csv]], groupscan=[EasyGroupScan
[selectionRoot=/tmp/airports.csv, numFiles=1, columns=[`*`],
files=[maprfs:///tmp/airports.csv]]]): rowcount = 69890.0, cumulative cost =
{69890.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 1651
Sets:
Set#4, type: RecordType()
rel#1667:Subset#4.LOGICAL.ANY([]).[], best=rel#1651, importance=0.6561
rel#1651:DrillScanRel.LOGICAL.ANY([]).[](table=[dfs, tmp,
airports.csv],groupscan=EasyGroupScan [selectionRoot=/tmp/airports.csv,
numFiles=1, columns=[`*`], files=[maprfs:///tmp/airports.csv]]),
rowcount=69890.0, cumulative cost={tiny}
rel#1695:AbstractConverter.LOGICAL.ANY([]).[](input=rel#1694:Subset#4.PHYSICAL.HASH_DISTRIBUTED([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
rowcount=69890.0, cumulative cost={inf}
rel#1713:AbstractConverter.LOGICAL.ANY([]).[](input=rel#1712:Subset#4.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
rowcount=69890.0, cumulative cost={inf}
rel#1694:Subset#4.PHYSICAL.HASH_DISTRIBUTED([]).[], best=null,
importance=0.5904900000000001
rel#1696:AbstractConverter.PHYSICAL.HASH_DISTRIBUTED([]).[](input=rel#1667:Subset#4.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=HASH_DISTRIBUTED([]),sort=[]),
rowcount=69890.0, cumulative cost={inf}
rel#1714:AbstractConverter.PHYSICAL.HASH_DISTRIBUTED([]).[](input=rel#1712:Subset#4.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=HASH_DISTRIBUTED([]),sort=[]),
rowcount=69890.0, cumulative cost={inf}
rel#1717:HashToRandomExchangePrel.PHYSICAL.HASH_DISTRIBUTED([]).[](input=rel#1712:Subset#4.PHYSICAL.SINGLETON([]).[]),
rowcount=69890.0, cumulative cost={69891.0 rows, Infinity cpu, 0.0 io, 0.0
network, 0.0 memory}
rel#1712:Subset#4.PHYSICAL.SINGLETON([]).[], best=rel#1711,
importance=0.531441
rel#1715:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#1667:Subset#4.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
rowcount=69890.0, cumulative cost={inf}
rel#1716:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#1694:Subset#4.PHYSICAL.HASH_DISTRIBUTED([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
rowcount=69890.0, cumulative cost={inf}
rel#1711:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=EasyGroupScan
[selectionRoot=/tmp/airports.csv, numFiles=1, columns=[`*`],
files=[maprfs:///tmp/airports.csv]]), rowcount=69890.0, cumulative cost={tiny}
rel#1719:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#1694:Subset#4.PHYSICAL.HASH_DISTRIBUTED([]).[]),
rowcount=69890.0, cumulative cost={inf}
...
at
org.apache.calcite.plan.volcano.RelSubset$CheapestPlanReplacer.visit(RelSubset.java:473)
~[calcite-core-1.1.0-drill-r7.jar:1.1.0-drill-r7]
at
org.apache.calcite.plan.volcano.RelSubset.buildCheapestPlan(RelSubset.java:317)
~[calcite-core-1.1.0-drill-r7.jar:1.1.0-drill-r7]
at
org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:811)
~[calcite-core-1.1.0-drill-r7.jar:1.1.0-drill-r7]
at
org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:303)
~[calcite-core-1.1.0-drill-r7.jar:1.1.0-drill-r7]
at
org.apache.calcite.prepare.PlannerImpl.transform(PlannerImpl.java:316)
~[calcite-core-1.1.0-drill-r7.jar:1.1.0-drill-r7]
at
org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.convertToPrel(DefaultSqlHandler.java:315)
~[drill-java-exec-1.0.0-mapr-r1-rebuffed.jar:1.0.0-mapr-r1]
at
org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.getPlan(DefaultSqlHandler.java:190)
~[drill-java-exec-1.0.0-mapr-r1-rebuffed.jar:1.0.0-mapr-r1]
at
org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:177)
~[drill-java-exec-1.0.0-mapr-r1-rebuffed.jar:1.0.0-mapr-r1]
at org.apache.drill.exec.work.foreman.Foreman.runSQL(Foreman.java:902)
[drill-java-exec-1.0.0-mapr-r1-rebuffed.jar:1.0.0-mapr-r1]
at org.apache.drill.exec.work.foreman.Foreman.run(Foreman.java:240)
[drill-java-exec-1.0.0-mapr-r1-rebuffed.jar:1.0.0-mapr-r1]
... 3 common frames omitted
{code}
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