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https://issues.apache.org/jira/browse/BEAM-6995?focusedWorklogId=323803&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-323803
]
ASF GitHub Bot logged work on BEAM-6995:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Oct/19 23:57
Start Date: 04/Oct/19 23:57
Worklog Time Spent: 10m
Work Description: amaliujia commented on pull request #9703: [BEAM-6995]
Beam basic aggregation rule only when not windowed
URL: https://github.com/apache/beam/pull/9703#discussion_r331720249
##########
File path:
sdks/java/extensions/sql/src/main/java/org/apache/beam/sdk/extensions/sql/impl/rel/BeamAggregationRel.java
##########
@@ -84,6 +85,31 @@ public BeamAggregationRel(
this.windowFieldIndex = windowFieldIndex;
}
+ public BeamAggregationRel(
+ RelOptCluster cluster,
+ RelTraitSet traits,
+ RelNode child,
+ RelDataType rowType,
+ boolean indicator,
+ ImmutableBitSet groupSet,
+ List<ImmutableBitSet> groupSets,
+ List<AggregateCall> aggCalls,
+ @Nullable WindowFn<Row, IntervalWindow> windowFn,
+ int windowFieldIndex) {
+ this(
+ cluster,
+ traits,
+ child,
+ indicator,
+ groupSet,
+ groupSets,
+ aggCalls,
+ windowFn,
+ windowFieldIndex);
+
+ this.rowType = rowType;
Review comment:
I think `deriveRowType()` can be called when it's needed?
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Issue Time Tracking
-------------------
Worklog Id: (was: 323803)
Time Spent: 3.5h (was: 3h 20m)
> SQL aggregation with where clause fails to plan
> -----------------------------------------------
>
> Key: BEAM-6995
> URL: https://issues.apache.org/jira/browse/BEAM-6995
> Project: Beam
> Issue Type: Bug
> Components: dsl-sql
> Affects Versions: 2.11.0
> Reporter: David McIntosh
> Assignee: Kirill Kozlov
> Priority: Minor
> Time Spent: 3.5h
> Remaining Estimate: 0h
>
> I'm finding that this code fails with a CannotPlanException listed below.
> {code:java}
> Schema schema = Schema.builder()
> .addInt32Field("id")
> .addInt32Field("val")
> .build();
> Row row = Row.withSchema(schema).addValues(1, 2).build();
> PCollection<Row> inputData = p.apply("row input",
> Create.of(row).withRowSchema(schema));
> inputData.apply("sql",
> SqlTransform.query(
> "SELECT id, SUM(val) "
> + "FROM PCOLLECTION "
> + "WHERE val > 0 "
> + "GROUP BY id"));{code}
> If the WHERE clause is removed the code runs successfully.
> This may be similar to BEAM-5384 since I was able to work around this by
> adding an extra column to the input that isn't reference in the sql.
> {code:java}
> Schema schema = Schema.builder()
> .addInt32Field("id")
> .addInt32Field("val")
> .addInt32Field("extra")
> .build();{code}
>
> {code:java}
> org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.plan.RelOptPlanner$CannotPlanException:
> Node [rel#100:Subset#2.BEAM_LOGICAL] could not be implemented; planner state:
> Root: rel#100:Subset#2.BEAM_LOGICAL
> Original rel:
> LogicalAggregate(subset=[rel#100:Subset#2.BEAM_LOGICAL], group=[{0}],
> EXPR$1=[SUM($1)]): rowcount = 5.0, cumulative cost = {5.687500238418579 rows,
> 0.0 cpu, 0.0 io}, id = 98
> LogicalFilter(subset=[rel#97:Subset#1.NONE], condition=[>($1, 0)]):
> rowcount = 50.0, cumulative cost = {50.0 rows, 100.0 cpu, 0.0 io}, id = 96
> BeamIOSourceRel(subset=[rel#95:Subset#0.BEAM_LOGICAL], table=[[beam,
> PCOLLECTION]]): rowcount = 100.0, cumulative cost = {100.0 rows, 101.0 cpu,
> 0.0 io}, id = 92
> Sets:
> Set#0, type: RecordType(INTEGER id, INTEGER val)
> rel#95:Subset#0.BEAM_LOGICAL, best=rel#92,
> importance=0.7290000000000001
> rel#92:BeamIOSourceRel.BEAM_LOGICAL(table=[beam,
> PCOLLECTION]), rowcount=100.0, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io}
> rel#110:Subset#0.ENUMERABLE, best=rel#109,
> importance=0.36450000000000005
>
> rel#109:BeamEnumerableConverter.ENUMERABLE(input=rel#95:Subset#0.BEAM_LOGICAL),
> rowcount=100.0, cumulative cost={1.7976931348623157E308 rows,
> 1.7976931348623157E308 cpu, 1.7976931348623157E308 io}
> Set#1, type: RecordType(INTEGER id, INTEGER val)
> rel#97:Subset#1.NONE, best=null, importance=0.81
>
> rel#96:LogicalFilter.NONE(input=rel#95:Subset#0.BEAM_LOGICAL,condition=>($1,
> 0)), rowcount=50.0, cumulative cost={inf}
>
> rel#102:LogicalCalc.NONE(input=rel#95:Subset#0.BEAM_LOGICAL,expr#0..1={inputs},expr#2=0,expr#3=>($t1,
> $t2),id=$t0,val=$t1,$condition=$t3), rowcount=50.0, cumulative cost={inf}
> rel#104:Subset#1.BEAM_LOGICAL, best=rel#103, importance=0.405
>
> rel#103:BeamCalcRel.BEAM_LOGICAL(input=rel#95:Subset#0.BEAM_LOGICAL,expr#0..1={inputs},expr#2=0,expr#3=>($t1,
> $t2),id=$t0,val=$t1,$condition=$t3), rowcount=50.0, cumulative cost={150.0
> rows, 801.0 cpu, 0.0 io}
> rel#106:Subset#1.ENUMERABLE, best=rel#105, importance=0.405
>
> rel#105:BeamEnumerableConverter.ENUMERABLE(input=rel#104:Subset#1.BEAM_LOGICAL),
> rowcount=50.0, cumulative cost={1.7976931348623157E308 rows,
> 1.7976931348623157E308 cpu, 1.7976931348623157E308 io}
> Set#2, type: RecordType(INTEGER id, INTEGER EXPR$1)
> rel#99:Subset#2.NONE, best=null, importance=0.9
>
> rel#98:LogicalAggregate.NONE(input=rel#97:Subset#1.NONE,group={0},EXPR$1=SUM($1)),
> rowcount=5.0, cumulative cost={inf}
> rel#100:Subset#2.BEAM_LOGICAL, best=null, importance=1.0
>
> rel#101:AbstractConverter.BEAM_LOGICAL(input=rel#99:Subset#2.NONE,convention=BEAM_LOGICAL),
> rowcount=5.0, cumulative cost={inf}
> at
> org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.plan.volcano.RelSubset$CheapestPlanReplacer.visit(RelSubset.java:437)
> at
> org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.plan.volcano.RelSubset.buildCheapestPlan(RelSubset.java:296)
> at
> org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:657)
> at
> org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:339)
> at
> org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.prepare.PlannerImpl.transform(PlannerImpl.java:349)
> at
> org.apache.beam.sdk.extensions.sql.impl.BeamQueryPlanner.convertToBeamRel(BeamQueryPlanner.java:138)
> at
> org.apache.beam.sdk.extensions.sql.impl.BeamSqlEnv.parseQuery(BeamSqlEnv.java:143)
> at
> org.apache.beam.sdk.extensions.sql.SqlTransform.expand(SqlTransform.java:111)
> at
> org.apache.beam.sdk.extensions.sql.SqlTransform.expand(SqlTransform.java:79)
> at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:537)
> at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:488)
> at org.apache.beam.sdk.values.PCollection.apply(PCollection.java:370)
> {code}
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