[ 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 {noformat}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: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$2.run(SingleThreadEventExecutor.java:111) [netty-common-4.0.27.Final.jar:4.0.27.Final] at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121] 2017-04-28 16:59:11,744 [qtp506972944-58] ERROR o.a.d.e.server.rest.QueryResources - Query from Web UI Failed org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION ERROR: This query cannot be planned possibly due to either a cartesian join or an inequality join [Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana:31010] at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) ~[drill-java-exec-1.9.0.jar:1.9.0] at org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) ~[drill-java-exec-1.9.0.jar:1.9.0] at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) ~[drill-rpc-1.9.0.jar:1.9.0] at org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) ~[drill-rpc-1.9.0.jar:1.9.0] at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) ~[drill-rpc-1.9.0.jar:1.9.0] at org.apache.drill.exec.rpc.RpcBus$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]{noformat} And the following plan {noformat}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}{noformat} When I removed the limits, the query kept running for like 30 minutes and didn't finish though. 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 {noformat}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]{noformat} And the following plan {noformat}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}{noformat} When I removed the limits, the query kept running for like 30 minutes and didn't finish though. > 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 > {noformat}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$Worker.run(ThreadPoolExecutor.java:617) > [na:1.8.0_121] > at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121] > Caused by: > org.apache.drill.exec.work.foreman.UnsupportedRelOperatorException: This > query cannot be planned possibly due to either a cartesian join or an > inequality join > at > org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.convertToPrel(DefaultSqlHandler.java:432) > ~[drill-java-exec-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.getPlan(DefaultSqlHandler.java:169) > ~[drill-java-exec-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.planner.sql.DrillSqlWorker.getPhysicalPlan(DrillSqlWorker.java:123) > [drill-java-exec-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:97) > [drill-java-exec-1.9.0.jar:1.9.0] > ... 5 common frames omitted > 2017-04-28 16:59:11,741 [USER-rpc-event-queue] ERROR > o.a.d.exec.server.rest.QueryWrapper - Query Failed > org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION > ERROR: This query cannot be planned possibly due to either a cartesian join > or an inequality join > [Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana:31010] > at > org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) > [drill-java-exec-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) > [drill-java-exec-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) > [drill-rpc-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) > [drill-rpc-1.9.0.jar:1.9.0] > at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) > [drill-rpc-1.9.0.jar:1.9.0] > at org.apache.drill.exec.rpc.RpcBus$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$2.run(SingleThreadEventExecutor.java:111) > [netty-common-4.0.27.Final.jar:4.0.27.Final] > at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121] > 2017-04-28 16:59:11,744 [qtp506972944-58] ERROR > o.a.d.e.server.rest.QueryResources - Query from Web UI Failed > org.apache.drill.common.exceptions.UserRemoteException: UNSUPPORTED_OPERATION > ERROR: This query cannot be planned possibly due to either a cartesian join > or an inequality join > [Error Id: 672b4f2c-02a3-4004-af4b-279759c36c96 on mgelbana:31010] > at > org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123) > ~[drill-java-exec-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.rpc.user.UserClient.handleReponse(UserClient.java:144) > ~[drill-java-exec-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:46) > ~[drill-rpc-1.9.0.jar:1.9.0] > at > org.apache.drill.exec.rpc.BasicClientWithConnection.handle(BasicClientWithConnection.java:31) > ~[drill-rpc-1.9.0.jar:1.9.0] > at org.apache.drill.exec.rpc.RpcBus.handle(RpcBus.java:65) > ~[drill-rpc-1.9.0.jar:1.9.0] > at org.apache.drill.exec.rpc.RpcBus$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]{noformat} > And the following plan > {noformat}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}{noformat} > When I removed the limits, the query kept running for like 30 minutes and > didn't finish though. -- This message was sent by Atlassian JIRA (v6.3.15#6346)