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From "Muhammad Gelbana (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (DRILL-5452) Join query cannot be planned although all joins are enabled and "planner.enable_nljoin_for_scalar_only" is disabled
Date Fri, 28 Apr 2017 20:21:04 GMT

     [ https://issues.apache.org/jira/browse/DRILL-5452?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Muhammad Gelbana updated DRILL-5452:
------------------------------------
    Description: 
The following query
{code:sql}
SELECT * FROM (SELECT 'ABC' `UserID` FROM `dfs`.`path_to_parquet_file` tc LIMIT 2147483647) `t0` INNER JOIN (SELECT 'ABC' `UserID` FROM `dfs`.`path_to_parquet_file` tc LIMIT 2147483647) `t1` ON (`t0`.`UserID` IS NOT DISTINCT FROM `t1`.`UserID`) LIMIT 2147483647{code}

Leads to the following exception

{preformatted}2017-04-28 16:59:11,722 [26fca73f-92f0-4664-4dca-88bc48265c92: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: 672b4f2c-02a3-4004-af4b-279759c36c96 ]
	at org.apache.drill.common.exceptions.UserException$Builder.build(UserException.java:543) ~[drill-common-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:107) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.work.foreman.Foreman.runSQL(Foreman.java:1008) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.work.foreman.Foreman.run(Foreman.java:264) [drill-java-exec-1.9.0.jar:1.9.0]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [na:1.8.0_121]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [na:1.8.0_121]
	at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121]
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:432) ~[drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.getPlan(DefaultSqlHandler.java:169) ~[drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPhysicalPlan(DrillSqlWorker.java:123) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:97) [drill-java-exec-1.9.0.jar:1.9.0]
	... 5 common frames omitted
2017-04-28 16:59:11,741 [USER-rpc-event-queue] ERROR o.a.d.exec.server.rest.QueryWrapper - Query Failed
org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due to either a cartesian join or an inequality join


[Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana-incorta:31010]
	at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$RequestEvent.run(RpcBus.java:363) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.common.SerializedExecutor$RunnableProcessor.run(SerializedExecutor.java:89) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$SameExecutor.execute(RpcBus.java:240) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.common.SerializedExecutor.execute(SerializedExecutor.java:123) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:274) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:245) [drill-rpc-1.9.0.jar:1.9.0]
	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:89) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:254) [netty-handler-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:242) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:847) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) [netty-common-4.0.27.Final.jar:4.0.27.Final]
	at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121]
2017-04-28 16:59:11,744 [qtp506972944-58] ERROR o.a.d.e.server.rest.QueryResources - Query from Web UI Failed
org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due to either a cartesian join or an inequality join


[Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana-incorta:31010]
	at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) ~[drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) ~[drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$RequestEvent.run(RpcBus.java:363) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.common.SerializedExecutor$RunnableProcessor.run(SerializedExecutor.java:89) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$SameExecutor.execute(RpcBus.java:240) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.common.SerializedExecutor.execute(SerializedExecutor.java:123) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:274) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:245) ~[drill-rpc-1.9.0.jar:1.9.0]
	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:89) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:254) ~[netty-handler-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:242) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:847) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) ~[netty-common-4.0.27.Final.jar:4.0.27.Final]
	at java.lang.Thread.run(Thread.java:745) ~[na:1.8.0_121]{preformatted}
And the following plan
{preformatted}2017-04-28 16:50:25,355 [26fca94f-d362-2a9a-32ed-da040ebc3d45:foreman] ERROR o.a.d.e.p.s.h.DefaultSqlHandler - Node [rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]] could not be implemented; planner state:

Root: rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]
Original rel:
AbstractConverter(subset=[rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]], convention=[PHYSICAL], DrillDistributionTraitDef=[SINGLETON([])], sort=[[]]): rowcount = 2.147483647E9, cumulative cost = {inf}, id = 168
  DrillScreenRel(subset=[rel#165:Subset#13.LOGICAL.ANY([]).[]]): rowcount = 2.147483647E9, cumulative cost = {2.1474836470000002E8 rows, 2.1474836470000002E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 164
    DrillProjectRel(subset=[rel#163:Subset#12.LOGICAL.ANY([]).[]], UserID=[$0], UserID0=[$1]): rowcount = 2.147483647E9, cumulative cost = {0.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 162
      DrillLimitRel(subset=[rel#161:Subset#11.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 160
        DrillJoinRel(subset=[rel#159:Subset#10.LOGICAL.ANY([]).[]], condition=[CAST(CASE(IS NULL($0), IS NULL($1), IS NULL($1), IS NULL($0), =($0, $1))):BOOLEAN NOT NULL], joinType=[inner]): rowcount = 2.147483647E9, cumulative cost = {4.294967294E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}, id = 158
          DrillLimitRel(subset=[rel#155:Subset#9.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 154
            DrillProjectRel(subset=[rel#153:Subset#8.LOGICAL.ANY([]).[]], UserID=['ABC']): rowcount = 10000.0, cumulative cost = {10000.0 rows, 40000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 152
              DrillScanRel(subset=[rel#151:Subset#7.LOGICAL.ANY([]).[]], table=[[dfs, path_to_parquet_file]], groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]]): rowcount = 10000.0, cumulative cost = {10000.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 85
          DrillLimitRel(subset=[rel#155:Subset#9.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 154
            DrillProjectRel(subset=[rel#153:Subset#8.LOGICAL.ANY([]).[]], UserID=['ABC']): rowcount = 10000.0, cumulative cost = {10000.0 rows, 40000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 152
              DrillScanRel(subset=[rel#151:Subset#7.LOGICAL.ANY([]).[]], table=[[dfs, path_to_parquet_file]], groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]]): rowcount = 10000.0, cumulative cost = {10000.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 85

Sets:
Set#7, type: RecordType()
	rel#151:Subset#7.LOGICAL.ANY([]).[], best=rel#85, importance=0.4782969000000001
		rel#85:DrillScanRel.LOGICAL.ANY([]).[](table=[dfs, path_to_parquet_file],groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={tiny}
		rel#211:AbstractConverter.LOGICAL.ANY([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#214:AbstractConverter.LOGICAL.ANY([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
	rel#210:Subset#7.PHYSICAL.SINGLETON([]).[], best=rel#209, importance=0.4304672100000001
		rel#212:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#209:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={10000.0 rows, 10000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#215:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#228:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[]), rowcount=10000.0, cumulative cost={20000.0 rows, 90000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
	rel#213:Subset#7.PHYSICAL.ANY([]).[], best=rel#209, importance=0.3874204890000001
		rel#212:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#209:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={10000.0 rows, 10000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#215:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#216:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#217:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#228:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[]), rowcount=10000.0, cumulative cost={20000.0 rows, 90000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#8, type: RecordType(CHAR(3) UserID)
	rel#153:Subset#8.LOGICAL.ANY([]).[], best=rel#152, importance=0.531441
		rel#152:DrillProjectRel.LOGICAL.ANY([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={10001.0 rows, 40001.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#203:AbstractConverter.LOGICAL.ANY([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#223:AbstractConverter.LOGICAL.ANY([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
	rel#202:Subset#8.PHYSICAL.SINGLETON([]).[], best=rel#218, importance=0.4782969000000001
		rel#204:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#218:ProjectPrel.PHYSICAL.SINGLETON([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={20000.0 rows, 50000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#224:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#241:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=10000.0, cumulative cost={30000.0 rows, 130000.0 cpu, 0.0 io, 4.096E7 network, 0.0 memory}
	rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=rel#221, importance=0.4304672100000001
		rel#225:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#226:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#221:ProjectPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={20000.0 rows, 50000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#9, type: RecordType(CHAR(3) UserID)
	rel#155:Subset#9.LOGICAL.ANY([]).[], best=rel#154, importance=0.5904900000000001
		rel#154:DrillLimitRel.LOGICAL.ANY([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147493648E9 rows, 8.589974589E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#207:AbstractConverter.LOGICAL.ANY([]).[](input=rel#206:Subset#9.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#206:Subset#9.PHYSICAL.SINGLETON([]).[], best=rel#205, importance=0.531441
		rel#208:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#155:Subset#9.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#205:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147503647E9 rows, 8.589984588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#248:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#247:Subset#15.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={6.442470941E9 rows, 3.4359788352E10 cpu, 0.0 io, 8.796093018112E12 network, 0.0 memory}
Set#10, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
	rel#159:Subset#10.LOGICAL.ANY([]).[], best=rel#158, importance=0.6561
		rel#158:DrillJoinRel.LOGICAL.ANY([]).[](left=rel#155:Subset#9.LOGICAL.ANY([]).[],right=rel#155:Subset#9.LOGICAL.ANY([]).[],condition=CAST(CASE(IS NULL($0), IS NULL($1), IS NULL($1), IS NULL($0), =($0, $1))):BOOLEAN NOT NULL,joinType=inner), rowcount=2.147483647E9, cumulative cost={8.58995459E9 rows, 1.7179949178E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
		rel#187:AbstractConverter.LOGICAL.ANY([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#186:Subset#10.PHYSICAL.SINGLETON([]).[], best=null, importance=0.5904900000000001
		rel#188:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#159:Subset#10.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
Set#11, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
	rel#161:Subset#11.LOGICAL.ANY([]).[], best=rel#160, importance=0.7290000000000001
		rel#160:DrillLimitRel.LOGICAL.ANY([]).[](input=rel#159:Subset#10.LOGICAL.ANY([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={1.0737438237E10 rows, 2.5769883766E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
		rel#175:AbstractConverter.LOGICAL.ANY([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#191:AbstractConverter.LOGICAL.ANY([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#174:Subset#11.PHYSICAL.ANY([]).[], best=null, importance=0.6561
		rel#176:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#192:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#193:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#194:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#189:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={inf}
		rel#195:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#190:Subset#11.PHYSICAL.SINGLETON([]).[], best=null, importance=0.5904900000000001
		rel#193:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#194:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#189:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={inf}
		rel#195:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
Set#12, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
	rel#163:Subset#12.LOGICAL.ANY([]).[], best=rel#162, importance=0.81
		rel#162:DrillProjectRel.LOGICAL.ANY([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={1.0737438238E10 rows, 2.5769883767E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
		rel#170:AbstractConverter.LOGICAL.ANY([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#179:AbstractConverter.LOGICAL.ANY([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#169:Subset#12.PHYSICAL.SINGLETON([]).[], best=null, importance=0.7290000000000001
		rel#171:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#180:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#183:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#198:ProjectPrel.PHYSICAL.SINGLETON([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={inf}
	rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=null, importance=0.6561
		rel#181:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#182:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#177:ProjectPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={inf}
Set#13, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
	rel#165:Subset#13.LOGICAL.ANY([]).[], best=rel#164, importance=0.9
		rel#164:DrillScreenRel.LOGICAL.ANY([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={1.09521866027E10 rows, 2.59846321317E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
		rel#167:AbstractConverter.LOGICAL.ANY([]).[](input=rel#166:Subset#13.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#166:Subset#13.PHYSICAL.SINGLETON([]).[], best=null, importance=1.0
		rel#168:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#165:Subset#13.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#172:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
Set#14, type: RecordType(CHAR(3) UserID)
	rel#245:Subset#14.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=rel#242, importance=0.4304672100000001
		rel#242:LimitPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147503647E9 rows, 8.589984588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#15, type: RecordType(CHAR(3) UserID)
	rel#247:Subset#15.PHYSICAL.SINGLETON([]).[], best=rel#246, importance=0.4782969000000001
		rel#246:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#245:Subset#14.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=2.147483647E9, cumulative cost={4.294987294E9 rows, 2.5769853764E10 cpu, 0.0 io, 8.796093018112E12 network, 0.0 memory}{preformatted}

  was:
The following query
{code:sql}
SELECT * FROM (SELECT 'ABC' `UserID` FROM `dfs`.`path_to_parquet_file tc LIMIT 2147483647) `t0` INNER JOIN (SELECT 'ABC' `UserID` FROM `dfs`.`path_to_parquet_file` tc LIMIT 2147483647) `t1` ON (`t0`.`UserID` IS NOT DISTINCT FROM `t1`.`UserID`) LIMIT 2147483647{code}

Leads to the following exception

{preformatted}2017-04-28 16:59:11,722 [26fca73f-92f0-4664-4dca-88bc48265c92: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: 672b4f2c-02a3-4004-af4b-279759c36c96 ]
	at org.apache.drill.common.exceptions.UserException$Builder.build(UserException.java:543) ~[drill-common-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:107) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.work.foreman.Foreman.runSQL(Foreman.java:1008) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.work.foreman.Foreman.run(Foreman.java:264) [drill-java-exec-1.9.0.jar:1.9.0]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [na:1.8.0_121]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [na:1.8.0_121]
	at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121]
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:432) ~[drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.getPlan(DefaultSqlHandler.java:169) ~[drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPhysicalPlan(DrillSqlWorker.java:123) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:97) [drill-java-exec-1.9.0.jar:1.9.0]
	... 5 common frames omitted
2017-04-28 16:59:11,741 [USER-rpc-event-queue] ERROR o.a.d.exec.server.rest.QueryWrapper - Query Failed
org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due to either a cartesian join or an inequality join


[Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana-incorta:31010]
	at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) [drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$RequestEvent.run(RpcBus.java:363) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.common.SerializedExecutor$RunnableProcessor.run(SerializedExecutor.java:89) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$SameExecutor.execute(RpcBus.java:240) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.common.SerializedExecutor.execute(SerializedExecutor.java:123) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:274) [drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:245) [drill-rpc-1.9.0.jar:1.9.0]
	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:89) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:254) [netty-handler-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:242) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:847) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) [netty-common-4.0.27.Final.jar:4.0.27.Final]
	at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121]
2017-04-28 16:59:11,744 [qtp506972944-58] ERROR o.a.d.e.server.rest.QueryResources - Query from Web UI Failed
org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due to either a cartesian join or an inequality join


[Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana-incorta:31010]
	at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) ~[drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) ~[drill-java-exec-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$RequestEvent.run(RpcBus.java:363) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.common.SerializedExecutor$RunnableProcessor.run(SerializedExecutor.java:89) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$SameExecutor.execute(RpcBus.java:240) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.common.SerializedExecutor.execute(SerializedExecutor.java:123) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:274) ~[drill-rpc-1.9.0.jar:1.9.0]
	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:245) ~[drill-rpc-1.9.0.jar:1.9.0]
	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:89) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:254) ~[netty-handler-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:242) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:847) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) ~[netty-common-4.0.27.Final.jar:4.0.27.Final]
	at java.lang.Thread.run(Thread.java:745) ~[na:1.8.0_121]{preformatted}
And the following plan
{preformatted}2017-04-28 16:50:25,355 [26fca94f-d362-2a9a-32ed-da040ebc3d45:foreman] ERROR o.a.d.e.p.s.h.DefaultSqlHandler - Node [rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]] could not be implemented; planner state:

Root: rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]
Original rel:
AbstractConverter(subset=[rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]], convention=[PHYSICAL], DrillDistributionTraitDef=[SINGLETON([])], sort=[[]]): rowcount = 2.147483647E9, cumulative cost = {inf}, id = 168
  DrillScreenRel(subset=[rel#165:Subset#13.LOGICAL.ANY([]).[]]): rowcount = 2.147483647E9, cumulative cost = {2.1474836470000002E8 rows, 2.1474836470000002E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 164
    DrillProjectRel(subset=[rel#163:Subset#12.LOGICAL.ANY([]).[]], UserID=[$0], UserID0=[$1]): rowcount = 2.147483647E9, cumulative cost = {0.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 162
      DrillLimitRel(subset=[rel#161:Subset#11.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 160
        DrillJoinRel(subset=[rel#159:Subset#10.LOGICAL.ANY([]).[]], condition=[CAST(CASE(IS NULL($0), IS NULL($1), IS NULL($1), IS NULL($0), =($0, $1))):BOOLEAN NOT NULL], joinType=[inner]): rowcount = 2.147483647E9, cumulative cost = {4.294967294E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}, id = 158
          DrillLimitRel(subset=[rel#155:Subset#9.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 154
            DrillProjectRel(subset=[rel#153:Subset#8.LOGICAL.ANY([]).[]], UserID=['ABC']): rowcount = 10000.0, cumulative cost = {10000.0 rows, 40000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 152
              DrillScanRel(subset=[rel#151:Subset#7.LOGICAL.ANY([]).[]], table=[[dfs, path_to_parquet_file]], groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]]): rowcount = 10000.0, cumulative cost = {10000.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 85
          DrillLimitRel(subset=[rel#155:Subset#9.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 154
            DrillProjectRel(subset=[rel#153:Subset#8.LOGICAL.ANY([]).[]], UserID=['ABC']): rowcount = 10000.0, cumulative cost = {10000.0 rows, 40000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 152
              DrillScanRel(subset=[rel#151:Subset#7.LOGICAL.ANY([]).[]], table=[[dfs, path_to_parquet_file]], groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]]): rowcount = 10000.0, cumulative cost = {10000.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 85

Sets:
Set#7, type: RecordType()
	rel#151:Subset#7.LOGICAL.ANY([]).[], best=rel#85, importance=0.4782969000000001
		rel#85:DrillScanRel.LOGICAL.ANY([]).[](table=[dfs, path_to_parquet_file],groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={tiny}
		rel#211:AbstractConverter.LOGICAL.ANY([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#214:AbstractConverter.LOGICAL.ANY([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
	rel#210:Subset#7.PHYSICAL.SINGLETON([]).[], best=rel#209, importance=0.4304672100000001
		rel#212:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#209:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={10000.0 rows, 10000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#215:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#228:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[]), rowcount=10000.0, cumulative cost={20000.0 rows, 90000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
	rel#213:Subset#7.PHYSICAL.ANY([]).[], best=rel#209, importance=0.3874204890000001
		rel#212:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#209:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={10000.0 rows, 10000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#215:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#216:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#217:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#228:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[]), rowcount=10000.0, cumulative cost={20000.0 rows, 90000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#8, type: RecordType(CHAR(3) UserID)
	rel#153:Subset#8.LOGICAL.ANY([]).[], best=rel#152, importance=0.531441
		rel#152:DrillProjectRel.LOGICAL.ANY([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={10001.0 rows, 40001.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#203:AbstractConverter.LOGICAL.ANY([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#223:AbstractConverter.LOGICAL.ANY([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
	rel#202:Subset#8.PHYSICAL.SINGLETON([]).[], best=rel#218, importance=0.4782969000000001
		rel#204:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#218:ProjectPrel.PHYSICAL.SINGLETON([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={20000.0 rows, 50000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#224:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#241:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=10000.0, cumulative cost={30000.0 rows, 130000.0 cpu, 0.0 io, 4.096E7 network, 0.0 memory}
	rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=rel#221, importance=0.4304672100000001
		rel#225:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#226:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
		rel#221:ProjectPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={20000.0 rows, 50000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#9, type: RecordType(CHAR(3) UserID)
	rel#155:Subset#9.LOGICAL.ANY([]).[], best=rel#154, importance=0.5904900000000001
		rel#154:DrillLimitRel.LOGICAL.ANY([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147493648E9 rows, 8.589974589E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#207:AbstractConverter.LOGICAL.ANY([]).[](input=rel#206:Subset#9.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#206:Subset#9.PHYSICAL.SINGLETON([]).[], best=rel#205, importance=0.531441
		rel#208:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#155:Subset#9.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#205:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147503647E9 rows, 8.589984588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
		rel#248:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#247:Subset#15.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={6.442470941E9 rows, 3.4359788352E10 cpu, 0.0 io, 8.796093018112E12 network, 0.0 memory}
Set#10, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
	rel#159:Subset#10.LOGICAL.ANY([]).[], best=rel#158, importance=0.6561
		rel#158:DrillJoinRel.LOGICAL.ANY([]).[](left=rel#155:Subset#9.LOGICAL.ANY([]).[],right=rel#155:Subset#9.LOGICAL.ANY([]).[],condition=CAST(CASE(IS NULL($0), IS NULL($1), IS NULL($1), IS NULL($0), =($0, $1))):BOOLEAN NOT NULL,joinType=inner), rowcount=2.147483647E9, cumulative cost={8.58995459E9 rows, 1.7179949178E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
		rel#187:AbstractConverter.LOGICAL.ANY([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#186:Subset#10.PHYSICAL.SINGLETON([]).[], best=null, importance=0.5904900000000001
		rel#188:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#159:Subset#10.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
Set#11, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
	rel#161:Subset#11.LOGICAL.ANY([]).[], best=rel#160, importance=0.7290000000000001
		rel#160:DrillLimitRel.LOGICAL.ANY([]).[](input=rel#159:Subset#10.LOGICAL.ANY([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={1.0737438237E10 rows, 2.5769883766E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
		rel#175:AbstractConverter.LOGICAL.ANY([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#191:AbstractConverter.LOGICAL.ANY([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#174:Subset#11.PHYSICAL.ANY([]).[], best=null, importance=0.6561
		rel#176:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#192:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#193:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#194:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#189:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={inf}
		rel#195:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#190:Subset#11.PHYSICAL.SINGLETON([]).[], best=null, importance=0.5904900000000001
		rel#193:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#194:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#189:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={inf}
		rel#195:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
Set#12, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
	rel#163:Subset#12.LOGICAL.ANY([]).[], best=rel#162, importance=0.81
		rel#162:DrillProjectRel.LOGICAL.ANY([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={1.0737438238E10 rows, 2.5769883767E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
		rel#170:AbstractConverter.LOGICAL.ANY([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#179:AbstractConverter.LOGICAL.ANY([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#169:Subset#12.PHYSICAL.SINGLETON([]).[], best=null, importance=0.7290000000000001
		rel#171:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#180:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#183:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#198:ProjectPrel.PHYSICAL.SINGLETON([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={inf}
	rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=null, importance=0.6561
		rel#181:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#182:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#177:ProjectPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={inf}
Set#13, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
	rel#165:Subset#13.LOGICAL.ANY([]).[], best=rel#164, importance=0.9
		rel#164:DrillScreenRel.LOGICAL.ANY([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={1.09521866027E10 rows, 2.59846321317E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
		rel#167:AbstractConverter.LOGICAL.ANY([]).[](input=rel#166:Subset#13.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
	rel#166:Subset#13.PHYSICAL.SINGLETON([]).[], best=null, importance=1.0
		rel#168:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#165:Subset#13.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
		rel#172:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
Set#14, type: RecordType(CHAR(3) UserID)
	rel#245:Subset#14.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=rel#242, importance=0.4304672100000001
		rel#242:LimitPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147503647E9 rows, 8.589984588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#15, type: RecordType(CHAR(3) UserID)
	rel#247:Subset#15.PHYSICAL.SINGLETON([]).[], best=rel#246, importance=0.4782969000000001
		rel#246:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#245:Subset#14.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=2.147483647E9, cumulative cost={4.294987294E9 rows, 2.5769853764E10 cpu, 0.0 io, 8.796093018112E12 network, 0.0 memory}{preformatted}


> Join query cannot be planned although all joins are enabled and "planner.enable_nljoin_for_scalar_only" is disabled
> -------------------------------------------------------------------------------------------------------------------
>
>                 Key: DRILL-5452
>                 URL: https://issues.apache.org/jira/browse/DRILL-5452
>             Project: Apache Drill
>          Issue Type: Bug
>          Components: Query Planning & Optimization
>    Affects Versions: 1.9.0, 1.10.0
>            Reporter: Muhammad Gelbana
>
> The following query
> {code:sql}
> SELECT * FROM (SELECT 'ABC' `UserID` FROM `dfs`.`path_to_parquet_file` tc LIMIT 2147483647) `t0` INNER JOIN (SELECT 'ABC' `UserID` FROM `dfs`.`path_to_parquet_file` tc LIMIT 2147483647) `t1` ON (`t0`.`UserID` IS NOT DISTINCT FROM `t1`.`UserID`) LIMIT 2147483647{code}
> Leads to the following exception
> {preformatted}2017-04-28 16:59:11,722 [26fca73f-92f0-4664-4dca-88bc48265c92: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: 672b4f2c-02a3-4004-af4b-279759c36c96 ]
> 	at org.apache.drill.common.exceptions.UserException$Builder.build(UserException.java:543) ~[drill-common-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:107) [drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.work.foreman.Foreman.runSQL(Foreman.java:1008) [drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.work.foreman.Foreman.run(Foreman.java:264) [drill-java-exec-1.9.0.jar:1.9.0]
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [na:1.8.0_121]
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [na:1.8.0_121]
> 	at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121]
> 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:432) ~[drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.getPlan(DefaultSqlHandler.java:169) ~[drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPhysicalPlan(DrillSqlWorker.java:123) [drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:97) [drill-java-exec-1.9.0.jar:1.9.0]
> 	... 5 common frames omitted
> 2017-04-28 16:59:11,741 [USER-rpc-event-queue] ERROR o.a.d.exec.server.rest.QueryWrapper - Query Failed
> org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due to either a cartesian join or an inequality join
> [Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana-incorta:31010]
> 	at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) [drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) [drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) [drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) [drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) [drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus$RequestEvent.run(RpcBus.java:363) [drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.common.SerializedExecutor$RunnableProcessor.run(SerializedExecutor.java:89) [drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus$SameExecutor.execute(RpcBus.java:240) [drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.common.SerializedExecutor.execute(SerializedExecutor.java:123) [drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:274) [drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:245) [drill-rpc-1.9.0.jar:1.9.0]
> 	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:89) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:254) [netty-handler-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:242) [netty-codec-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:847) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) [netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) [netty-common-4.0.27.Final.jar:4.0.27.Final]
> 	at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121]
> 2017-04-28 16:59:11,744 [qtp506972944-58] ERROR o.a.d.e.server.rest.QueryResources - Query from Web UI Failed
> org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due to either a cartesian join or an inequality join
> [Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana-incorta:31010]
> 	at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) ~[drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) ~[drill-java-exec-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus$RequestEvent.run(RpcBus.java:363) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.common.SerializedExecutor$RunnableProcessor.run(SerializedExecutor.java:89) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus$SameExecutor.execute(RpcBus.java:240) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.common.SerializedExecutor.execute(SerializedExecutor.java:123) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:274) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:245) ~[drill-rpc-1.9.0.jar:1.9.0]
> 	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:89) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:254) ~[netty-handler-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:242) ~[netty-codec-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:847) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) ~[netty-transport-4.0.27.Final.jar:4.0.27.Final]
> 	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) ~[netty-common-4.0.27.Final.jar:4.0.27.Final]
> 	at java.lang.Thread.run(Thread.java:745) ~[na:1.8.0_121]{preformatted}
> And the following plan
> {preformatted}2017-04-28 16:50:25,355 [26fca94f-d362-2a9a-32ed-da040ebc3d45:foreman] ERROR o.a.d.e.p.s.h.DefaultSqlHandler - Node [rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]] could not be implemented; planner state:
> Root: rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]
> Original rel:
> AbstractConverter(subset=[rel#166:Subset#13.PHYSICAL.SINGLETON([]).[]], convention=[PHYSICAL], DrillDistributionTraitDef=[SINGLETON([])], sort=[[]]): rowcount = 2.147483647E9, cumulative cost = {inf}, id = 168
>   DrillScreenRel(subset=[rel#165:Subset#13.LOGICAL.ANY([]).[]]): rowcount = 2.147483647E9, cumulative cost = {2.1474836470000002E8 rows, 2.1474836470000002E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 164
>     DrillProjectRel(subset=[rel#163:Subset#12.LOGICAL.ANY([]).[]], UserID=[$0], UserID0=[$1]): rowcount = 2.147483647E9, cumulative cost = {0.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 162
>       DrillLimitRel(subset=[rel#161:Subset#11.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 160
>         DrillJoinRel(subset=[rel#159:Subset#10.LOGICAL.ANY([]).[]], condition=[CAST(CASE(IS NULL($0), IS NULL($1), IS NULL($1), IS NULL($0), =($0, $1))):BOOLEAN NOT NULL], joinType=[inner]): rowcount = 2.147483647E9, cumulative cost = {4.294967294E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}, id = 158
>           DrillLimitRel(subset=[rel#155:Subset#9.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 154
>             DrillProjectRel(subset=[rel#153:Subset#8.LOGICAL.ANY([]).[]], UserID=['ABC']): rowcount = 10000.0, cumulative cost = {10000.0 rows, 40000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 152
>               DrillScanRel(subset=[rel#151:Subset#7.LOGICAL.ANY([]).[]], table=[[dfs, path_to_parquet_file]], groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]]): rowcount = 10000.0, cumulative cost = {10000.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 85
>           DrillLimitRel(subset=[rel#155:Subset#9.LOGICAL.ANY([]).[]], fetch=[2147483647]): rowcount = 2.147483647E9, cumulative cost = {2.147483647E9 rows, 8.589934588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 154
>             DrillProjectRel(subset=[rel#153:Subset#8.LOGICAL.ANY([]).[]], UserID=['ABC']): rowcount = 10000.0, cumulative cost = {10000.0 rows, 40000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 152
>               DrillScanRel(subset=[rel#151:Subset#7.LOGICAL.ANY([]).[]], table=[[dfs, path_to_parquet_file]], groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]]): rowcount = 10000.0, cumulative cost = {10000.0 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 85
> Sets:
> Set#7, type: RecordType()
> 	rel#151:Subset#7.LOGICAL.ANY([]).[], best=rel#85, importance=0.4782969000000001
> 		rel#85:DrillScanRel.LOGICAL.ANY([]).[](table=[dfs, path_to_parquet_file],groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={tiny}
> 		rel#211:AbstractConverter.LOGICAL.ANY([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#214:AbstractConverter.LOGICAL.ANY([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 	rel#210:Subset#7.PHYSICAL.SINGLETON([]).[], best=rel#209, importance=0.4304672100000001
> 		rel#212:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#209:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={10000.0 rows, 10000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
> 		rel#215:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#228:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[]), rowcount=10000.0, cumulative cost={20000.0 rows, 90000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
> 	rel#213:Subset#7.PHYSICAL.ANY([]).[], best=rel#209, importance=0.3874204890000001
> 		rel#212:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#209:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan [entries=[ReadEntryWithPath [path=file:path_to_parquet_file]], selectionRoot=file:path_to_parquet_file, numFiles=1, usedMetadataFile=false, columns=[]]), rowcount=10000.0, cumulative cost={10000.0 rows, 10000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
> 		rel#215:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#216:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#217:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#228:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[]), rowcount=10000.0, cumulative cost={20000.0 rows, 90000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
> Set#8, type: RecordType(CHAR(3) UserID)
> 	rel#153:Subset#8.LOGICAL.ANY([]).[], best=rel#152, importance=0.531441
> 		rel#152:DrillProjectRel.LOGICAL.ANY([]).[](input=rel#151:Subset#7.LOGICAL.ANY([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={10001.0 rows, 40001.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
> 		rel#203:AbstractConverter.LOGICAL.ANY([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#223:AbstractConverter.LOGICAL.ANY([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 	rel#202:Subset#8.PHYSICAL.SINGLETON([]).[], best=rel#218, importance=0.4782969000000001
> 		rel#204:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#218:ProjectPrel.PHYSICAL.SINGLETON([]).[](input=rel#210:Subset#7.PHYSICAL.SINGLETON([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={20000.0 rows, 50000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
> 		rel#224:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#241:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=10000.0, cumulative cost={30000.0 rows, 130000.0 cpu, 0.0 io, 4.096E7 network, 0.0 memory}
> 	rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=rel#221, importance=0.4304672100000001
> 		rel#225:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#226:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=10000.0, cumulative cost={inf}
> 		rel#221:ProjectPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#213:Subset#7.PHYSICAL.ANY([]).[],UserID='ABC'), rowcount=10000.0, cumulative cost={20000.0 rows, 50000.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
> Set#9, type: RecordType(CHAR(3) UserID)
> 	rel#155:Subset#9.LOGICAL.ANY([]).[], best=rel#154, importance=0.5904900000000001
> 		rel#154:DrillLimitRel.LOGICAL.ANY([]).[](input=rel#153:Subset#8.LOGICAL.ANY([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147493648E9 rows, 8.589974589E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
> 		rel#207:AbstractConverter.LOGICAL.ANY([]).[](input=rel#206:Subset#9.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 	rel#206:Subset#9.PHYSICAL.SINGLETON([]).[], best=rel#205, importance=0.531441
> 		rel#208:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#155:Subset#9.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#205:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#202:Subset#8.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147503647E9 rows, 8.589984588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
> 		rel#248:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#247:Subset#15.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={6.442470941E9 rows, 3.4359788352E10 cpu, 0.0 io, 8.796093018112E12 network, 0.0 memory}
> Set#10, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
> 	rel#159:Subset#10.LOGICAL.ANY([]).[], best=rel#158, importance=0.6561
> 		rel#158:DrillJoinRel.LOGICAL.ANY([]).[](left=rel#155:Subset#9.LOGICAL.ANY([]).[],right=rel#155:Subset#9.LOGICAL.ANY([]).[],condition=CAST(CASE(IS NULL($0), IS NULL($1), IS NULL($1), IS NULL($0), =($0, $1))):BOOLEAN NOT NULL,joinType=inner), rowcount=2.147483647E9, cumulative cost={8.58995459E9 rows, 1.7179949178E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
> 		rel#187:AbstractConverter.LOGICAL.ANY([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 	rel#186:Subset#10.PHYSICAL.SINGLETON([]).[], best=null, importance=0.5904900000000001
> 		rel#188:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#159:Subset#10.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> Set#11, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
> 	rel#161:Subset#11.LOGICAL.ANY([]).[], best=rel#160, importance=0.7290000000000001
> 		rel#160:DrillLimitRel.LOGICAL.ANY([]).[](input=rel#159:Subset#10.LOGICAL.ANY([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={1.0737438237E10 rows, 2.5769883766E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
> 		rel#175:AbstractConverter.LOGICAL.ANY([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#191:AbstractConverter.LOGICAL.ANY([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 	rel#174:Subset#11.PHYSICAL.ANY([]).[], best=null, importance=0.6561
> 		rel#176:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#192:AbstractConverter.PHYSICAL.ANY([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#193:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#194:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#189:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#195:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
> 	rel#190:Subset#11.PHYSICAL.SINGLETON([]).[], best=null, importance=0.5904900000000001
> 		rel#193:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#194:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#189:LimitPrel.PHYSICAL.SINGLETON([]).[](input=rel#186:Subset#10.PHYSICAL.SINGLETON([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#195:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
> Set#12, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
> 	rel#163:Subset#12.LOGICAL.ANY([]).[], best=rel#162, importance=0.81
> 		rel#162:DrillProjectRel.LOGICAL.ANY([]).[](input=rel#161:Subset#11.LOGICAL.ANY([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={1.0737438238E10 rows, 2.5769883767E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
> 		rel#170:AbstractConverter.LOGICAL.ANY([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#179:AbstractConverter.LOGICAL.ANY([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 	rel#169:Subset#12.PHYSICAL.SINGLETON([]).[], best=null, importance=0.7290000000000001
> 		rel#171:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#180:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#183:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#198:ProjectPrel.PHYSICAL.SINGLETON([]).[](input=rel#190:Subset#11.PHYSICAL.SINGLETON([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={inf}
> 	rel#178:Subset#12.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=null, importance=0.6561
> 		rel#181:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#182:AbstractConverter.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=RANDOM_DISTRIBUTED([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#177:ProjectPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#174:Subset#11.PHYSICAL.ANY([]).[],UserID=$0,UserID0=$1), rowcount=2.147483647E9, cumulative cost={inf}
> Set#13, type: RecordType(CHAR(3) UserID, CHAR(3) UserID0)
> 	rel#165:Subset#13.LOGICAL.ANY([]).[], best=rel#164, importance=0.9
> 		rel#164:DrillScreenRel.LOGICAL.ANY([]).[](input=rel#163:Subset#12.LOGICAL.ANY([]).[]), rowcount=2.147483647E9, cumulative cost={1.09521866027E10 rows, 2.59846321317E10 cpu, 0.0 io, 0.0 network, 1.8897856093600002E10 memory}
> 		rel#167:AbstractConverter.LOGICAL.ANY([]).[](input=rel#166:Subset#13.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 	rel#166:Subset#13.PHYSICAL.SINGLETON([]).[], best=null, importance=1.0
> 		rel#168:AbstractConverter.PHYSICAL.SINGLETON([]).[](input=rel#165:Subset#13.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]), rowcount=2.147483647E9, cumulative cost={inf}
> 		rel#172:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=rel#169:Subset#12.PHYSICAL.SINGLETON([]).[]), rowcount=2.147483647E9, cumulative cost={inf}
> Set#14, type: RecordType(CHAR(3) UserID)
> 	rel#245:Subset#14.PHYSICAL.RANDOM_DISTRIBUTED([]).[], best=rel#242, importance=0.4304672100000001
> 		rel#242:LimitPrel.PHYSICAL.RANDOM_DISTRIBUTED([]).[](input=rel#222:Subset#8.PHYSICAL.RANDOM_DISTRIBUTED([]).[],fetch=2147483647), rowcount=2.147483647E9, cumulative cost={2.147503647E9 rows, 8.589984588E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
> Set#15, type: RecordType(CHAR(3) UserID)
> 	rel#247:Subset#15.PHYSICAL.SINGLETON([]).[], best=rel#246, importance=0.4782969000000001
> 		rel#246:UnionExchangePrel.PHYSICAL.SINGLETON([]).[](input=rel#245:Subset#14.PHYSICAL.RANDOM_DISTRIBUTED([]).[]), rowcount=2.147483647E9, cumulative cost={4.294987294E9 rows, 2.5769853764E10 cpu, 0.0 io, 8.796093018112E12 network, 0.0 memory}{preformatted}



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