Muhammad Gelbana created DRILL-5452:
---------------------------------------
Summary: 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: 1.10.0, 1.9.0
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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