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Posted to issues@drill.apache.org by "Jinfeng Ni (JIRA)" <ji...@apache.org> on 2015/05/23 01:52:17 UTC
[jira] [Updated] (DRILL-3173) Invalid inputs are NOT handled
properly by Window functions
[ https://issues.apache.org/jira/browse/DRILL-3173?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jinfeng Ni updated DRILL-3173:
------------------------------
Assignee: Deneche A. Hakim (was: Jinfeng Ni)
> 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: Deneche A. Hakim
>
> 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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