[
https://issues.apache.org/jira/browse/KYLIN-3283?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
yiming.xu updated KYLIN-3283:
-
Description:
for queries like:
select leaf_categ_id, sum(price) as sum_price from test_kylin_fact group by
leaf_categ_id
union all
select 1 as leaf_categ_id2, 2 as sum_price2
the expected logical plan after volcano is:
{code:java}
OLAPToEnumerableConverter
OLAPLimitRel(ctx=[], fetch=[5])
OLAPUnionRel(all=[true], ctx=[], all=[true])
OLAPAggregateRel(group=[{0}], SUM_PRICE=[SUM($1)], ctx=[])
OLAPProjectRel(LEAF_CATEG_ID=[$4], PRICE=[$8], ctx=[])
OLAPTableScan(table=[[DEFAULT, TEST_KYLIN_FACT]], ctx=[], fields=[[0,
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,
23, 24, 25, 26]])
OLAPProjectRel(LEAF_CATEG_ID2=[1], SUM_PRICE2=[2], ctx=[])
OLAPValuesRel(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
{code}
however the actual is:
{code:java}
EnumerableLimit(fetch=[5])
EnumerableUnion(all=[true])
OLAPToEnumerableConverter
OLAPAggregateRel(group=[{0}], SUM_PRICE=[SUM($1)], ctx=[])
OLAPProjectRel(LEAF_CATEG_ID=[$4], PRICE=[$8], ctx=[])
OLAPTableScan(table=[[DEFAULT, TEST_KYLIN_FACT]], ctx=[], fields=[[0,
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,
23, 24, 25, 26]])
EnumerableCalc(expr#0=[{inputs}], expr#1=[1], expr#2=[2],
LEAF_CATEG_ID2=[$t1], SUM_PRICE2=[$t2])
EnumerableValues(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
{code}
was:
for queries like:
select leaf_categ_id, sum(price) as sum_price from test_kylin_fact group by
leaf_categ_id
union all
select 1 as leaf_categ_id2, 2 as sum_price2
the expected logical plan after volcano is:
{code:java}
OLAPToEnumerableConverter
OLAPLimitRel(ctx=[], fetch=[5])
OLAPAggregateRel(group=[{}], EXPR$0=[SUM($0)], ctx=[])
OLAPProjectRel(count=[$1], ctx=[])
OLAPSortRel(sort0=[$1], dir0=[DESC], ctx=[])
OLAPAggregateRel(group=[{0}], count=[COUNT()], ctx=[])
OLAPProjectRel(LSTG_FORMAT_NAME=[$3], ctx=[])
OLAPTableScan(table=[[DEFAULT, TEST_KYLIN_FACT]], ctx=[],
fields=[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26]])
{code}
however the actual is:
{code:java}
OLAPToEnumerableConverter
OLAPLimitRel(ctx=[], fetch=[5])
OLAPUnionRel(all=[true], ctx=[], all=[true])
OLAPAggregateRel(group=[{0}], SUM_PRICE=[SUM($1)], ctx=[])
OLAPProjectRel(LEAF_CATEG_ID=[$4], PRICE=[$8], ctx=[])
OLAPTableScan(table=[[DEFAULT, TEST_KYLIN_FACT]], ctx=[], fields=[[0,
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,
23, 24, 25, 26]])
OLAPProjectRel(LEAF_CATEG_ID2=[1], SUM_PRICE2=[2], ctx=[])
OLAPValuesRel(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
{code}
> Support values RelNode
> --
>
> Key: KYLIN-3283
> URL: https://issues.apache.org/jira/browse/KYLIN-3283
> Project: Kylin
> Issue Type: New Feature
> Components: Query Engine
>Affects Versions: v2.3.0
>Reporter: yiming.xu
>Assignee: yiming.xu
>Priority: Major
>
> for queries like:
> select leaf_categ_id, sum(price) as sum_price from test_kylin_fact group by
> leaf_categ_id
> union all
> select 1 as leaf_categ_id2, 2 as sum_price2
> the expected logical plan after volcano is:
> {code:java}
> OLAPToEnumerableConverter
> OLAPLimitRel(ctx=[], fetch=[5])
> OLAPUnionRel(all=[true], ctx=[], all=[true])
> OLAPAggregateRel(group=[{0}], SUM_PRICE=[SUM($1)], ctx=[])
> OLAPProjectRel(LEAF_CATEG_ID=[$4], PRICE=[$8], ctx=[])
> OLAPTableScan(table=[[DEFAULT, TEST_KYLIN_FACT]], ctx=[],
> fields=[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
> 19, 20, 21, 22, 23, 24, 25, 26]])
> OLAPProjectRel(LEAF_CATEG_ID2=[1], SUM_PRICE2=[2], ctx=[])
> OLAPValuesRel(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
> {code}
> however the actual is:
> {code:java}
> EnumerableLimit(fetch=[5])
> EnumerableUnion(all=[true])
> OLAPToEnumerableConverter
> OLAPAggregateRel(group=[{0}], SUM_PRICE=[SUM($1)], ctx=[])
> OLAPProjectRel(LEAF_CATEG_ID=[$4], PRICE=[$8], ctx=[])
> OLAPTableScan(table=[[DEFAULT, TEST_KYLIN_FACT]], ctx=[],
> fields=[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
> 19, 20, 21, 22, 23, 24, 25, 26]])
> EnumerableCalc(expr#0=[{inputs}], expr#1=[1], expr#2=[2],
> LEAF_CATEG_ID2=[$t1], SUM_PRICE2=[$t2])
> EnumerableValues(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
> {code}
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