[
https://issues.apache.org/jira/browse/DRILL-539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sudheesh Katkam resolved DRILL-539.
-----------------------------------
Resolution: Fixed
> order by query on hive avro table fails
> ---------------------------------------
>
> Key: DRILL-539
> URL: https://issues.apache.org/jira/browse/DRILL-539
> Project: Apache Drill
> Issue Type: Bug
> Components: Query Planning & Optimization
> Reporter: Ramana Inukonda Nagaraj
> Assignee: Ramana Inukonda Nagaraj
> Fix For: 0.5.0
>
>
> hive> desc doctors;
> OK
> number int from deserializer
> first_name string from deserializer
> last_name string from deserializer
> Time taken: 0.101 seconds, Fetched: 3 row(s)
> 0: jdbc:drill:schema=dfs> SELECT first_name FROM doctors;
> works.
> 0: jdbc:drill:schema=dfs> SELECT first_name FROM doctors ORDER BY `number`;
> org.eigenbase.relopt.RelOptPlanner$CannotPlanException: Node
> [rel#301:Subset#3.DRILL.[]] could not be implemented; planner state:
> Root: rel#301:Subset#3.DRILL.[]
> Original rel:
> AbstractConverter(subset=[rel#301:Subset#3.DRILL.[]], convention=[DRILL],
> sort=[[]]): rowcount = 1.7976931348623157E308, cumulative cost = {inf}, id =
> 302
> ProjectRel(subset=[rel#300:Subset#3.NONE.PRESERVE], first_name=[$0]):
> rowcount = 1.7976931348623157E308, cumulative cost = {1.7976931348623157E308
> rows, 1.7976931348623157E308 cpu, 0.0 io}, id = 299
> SortRel(subset=[rel#298:Subset#2.NONE.[1 Ascending]], sort0=[$1],
> dir0=[Ascending]): rowcount = 1.7976931348623157E308, cumulative cost =
> {Infinity rows, 1.7976931348623157E308 cpu, 0.0 io}, id = 297
> ProjectRel(subset=[rel#296:Subset#1.NONE.[]], first_name=[$1],
> number=[$0]): rowcount = 100.0, cumulative cost = {100.0 rows, 200.0 cpu, 0.0
> io}, id = 295
> EnumerableTableAccessRel(subset=[rel#294:Subset#0.ENUMERABLE.[]],
> table=[[hive, doctors]]): rowcount = 100.0, cumulative cost = {100.0 rows,
> 101.0 cpu, 0.0 io}, id = 290
> Sets:
> Set#0, type: RecordType(INTEGER number, VARCHAR(1) first_name, VARCHAR(1)
> last_name)
> rel#294:Subset#0.ENUMERABLE.[], best=rel#290, importance=0.6561
> rel#290:EnumerableTableAccessRel.ENUMERABLE.[](table=[hive,
> doctors]), rowcount=100.0, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io}
>
> rel#318:AbstractConverter.ENUMERABLE.[](child=rel#317:Subset#0.DRILL.[],convention=ENUMERABLE,sort=[]),
> rowcount=100.0, cumulative cost={inf}
> rel#317:Subset#0.DRILL.[], best=rel#322, importance=0.5904900000000001
>
> rel#319:AbstractConverter.DRILL.[](child=rel#294:Subset#0.ENUMERABLE.[],convention=DRILL,sort=[]),
> rowcount=100.0, cumulative cost={inf}
> rel#322:DrillScanRel.DRILL.[](table=[hive, doctors]),
> rowcount=100.0, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io}
> Set#1, type: RecordType(VARCHAR(1) first_name, INTEGER number)
> rel#296:Subset#1.NONE.[], best=null, importance=0.7290000000000001
>
> rel#295:ProjectRel.NONE.[](child=rel#294:Subset#0.ENUMERABLE.[],first_name=$1,number=$0),
> rowcount=100.0, cumulative cost={inf}
> rel#310:Subset#1.DRILL.[], best=rel#320, importance=0.6561
>
> rel#311:AbstractConverter.DRILL.[](child=rel#296:Subset#1.NONE.[],convention=DRILL,sort=[]),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
>
> rel#320:DrillProjectRel.DRILL.[](child=rel#317:Subset#0.DRILL.[],first_name=$1,number=$0),
> rowcount=100.0, cumulative cost={110.0 rows, 121.0 cpu, 0.0 io}
> Set#2, type: RecordType(VARCHAR(1) first_name, INTEGER number)
> rel#298:Subset#2.NONE.[1 Ascending], best=null, importance=0.81
> rel#297:SortRel.NONE.[1
> Ascending](child=rel#296:Subset#1.NONE.[],sort0=$1,dir0=Ascending),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
> rel#303:Subset#2.DRILL.PRESERVE, best=null, importance=0.81
>
> rel#304:AbstractConverter.DRILL.PRESERVE(child=rel#298:Subset#2.NONE.[1
> Ascending],convention=DRILL,sort=PRESERVE), rowcount=1.7976931348623157E308,
> cumulative cost={inf}
>
> rel#314:AbstractConverter.DRILL.PRESERVE(child=rel#313:Subset#2.DRILL.[1
> Ascending],convention=DRILL,sort=PRESERVE), rowcount=100.0, cumulative
> cost={inf}
> rel#313:Subset#2.DRILL.[1 Ascending], best=rel#312,
> importance=0.7290000000000001
> rel#315:AbstractConverter.DRILL.[1
> Ascending](child=rel#298:Subset#2.NONE.[1 Ascending],convention=DRILL,sort=[1
> Ascending]), rowcount=1.7976931348623157E308, cumulative cost={inf}
> rel#316:AbstractConverter.DRILL.[1
> Ascending](child=rel#303:Subset#2.DRILL.PRESERVE,convention=DRILL,sort=[1
> Ascending]), rowcount=1.7976931348623157E308, cumulative cost={inf}
> rel#312:DrillSortRel.DRILL.[1
> Ascending](child=rel#310:Subset#1.DRILL.[],sort0=$1,dir0=Ascending),
> rowcount=100.0, cumulative cost={3794.1361487904733 rows, 221.0 cpu, 0.0 io}
> Set#3, type: RecordType(VARCHAR(1) first_name)
> rel#300:Subset#3.NONE.PRESERVE, best=null, importance=0.9
> rel#299:ProjectRel.NONE.PRESERVE(child=rel#298:Subset#2.NONE.[1
> Ascending],first_name=$0), rowcount=1.7976931348623157E308, cumulative
> cost={inf}
> rel#301:Subset#3.DRILL.[], best=null, importance=1.0
>
> rel#302:AbstractConverter.DRILL.[](child=rel#300:Subset#3.NONE.PRESERVE,convention=DRILL,sort=[]),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
>
> rel#307:AbstractConverter.DRILL.[](child=rel#306:Subset#3.DRILL.PRESERVE,convention=DRILL,sort=[]),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
>
> rel#308:AbstractConverter.DRILL.PRESERVE(child=rel#300:Subset#3.NONE.PRESERVE,convention=DRILL,sort=PRESERVE),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
>
> rel#309:AbstractConverter.DRILL.PRESERVE(child=rel#301:Subset#3.DRILL.[],convention=DRILL,sort=PRESERVE),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
>
> rel#305:DrillProjectRel.DRILL.PRESERVE(child=rel#303:Subset#2.DRILL.PRESERVE,first_name=$0),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
> rel#306:Subset#3.DRILL.PRESERVE, best=null, importance=0.9
>
> rel#308:AbstractConverter.DRILL.PRESERVE(child=rel#300:Subset#3.NONE.PRESERVE,convention=DRILL,sort=PRESERVE),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
>
> rel#309:AbstractConverter.DRILL.PRESERVE(child=rel#301:Subset#3.DRILL.[],convention=DRILL,sort=PRESERVE),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
>
> rel#305:DrillProjectRel.DRILL.PRESERVE(child=rel#303:Subset#2.DRILL.PRESERVE,first_name=$0),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
>
> org.eigenbase.relopt.volcano.RelSubset$CheapestPlanReplacer.visit(RelSubset.java:442)
> ~[optiq-core-0.4.18.jar:na]
>
> org.eigenbase.relopt.volcano.RelSubset.buildCheapestPlan(RelSubset.java:284)
> ~[optiq-core-0.4.18.jar:na]
>
> org.eigenbase.relopt.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:628)
> ~[optiq-core-0.4.18.jar:na]
>
> net.hydromatic.optiq.prepare.PlannerImpl.transform(PlannerImpl.java:200)
> ~[optiq-core-0.4.18.jar:na]
>
> org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:75)
>
> ~[drill-java-exec-1.0.0-m2-incubating-SNAPSHOT-rebuffed.jar:1.0.0-m2-incubating-SNAPSHOT]
> org.apache.drill.exec.work.foreman.Foreman.runSQL(Foreman.java:350)
> [drill-java-exec-1.0.0-m2-incubating-SNAPSHOT-rebuffed.jar:1.0.0-m2-incubating-SNAPSHOT]
> org.apache.drill.exec.work.foreman.Foreman.run(Foreman.java:175)
> [drill-java-exec-1.0.0-m2-incubating-SNAPSHOT-rebuffed.jar:1.0.0-m2-incubating-SNAPSHOT]
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> [na:1.7.0_45]
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> [na:1.7.0_45]
> java.lang.Thread.run(Thread.java:744) [na:1.7.0_45]
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