danny0405 commented on a change in pull request #10123:
[FLINK-14665][table-planner-blink] Support computed column for create…
URL: https://github.com/apache/flink/pull/10123#discussion_r344611623
##########
File path:
flink-table/flink-table-planner-blink/src/test/resources/org/apache/flink/table/api/stream/ExplainTest.xml
##########
@@ -638,47 +638,44 @@ SortLimit(orderBy=[a ASC], offset=[0], fetch=[5],
updateAsRetraction=[false], ac
LogicalSink(name=[`default_catalog`.`default_database`.`appendSink1`],
fields=[a, b])
+- LogicalProject(id1=[$0], EXPR$1=[$2])
+- LogicalAggregate(group=[{0, 1}], EXPR$1=[LISTAGG($2, $3)])
- +- LogicalProject(id1=[$0], $f1=[TUMBLE($1, 8000:INTERVAL SECOND)],
text=[$2], $f3=[_UTF-16LE'#'])
- +- LogicalProject(id1=[$0], ts=[$2], text=[$1])
- +- LogicalFilter(condition=[AND(=($0, $3), >($2, -($7,
300000:INTERVAL MINUTE)), <($2, +($7, 180000:INTERVAL MINUTE)))])
- +- LogicalJoin(condition=[true], joinType=[inner])
- :- LogicalWatermarkAssigner(fields=[id1, text, rowtime],
rowtimeField=[rowtime], watermarkDelay=[0])
- : +- LogicalTableScan(table=[[default_catalog,
default_database, T1]])
- +- LogicalWatermarkAssigner(fields=[id2, cnt, name, goods,
rowtime], rowtimeField=[rowtime], watermarkDelay=[0])
- +- LogicalTableScan(table=[[default_catalog,
default_database, T2]])
+ +- LogicalProject(id1=[$0], $f1=[TUMBLE($2, 8000:INTERVAL SECOND)],
text=[$1], $f3=[_UTF-16LE'#'])
+ +- LogicalFilter(condition=[AND(=($0, $3), >($2, -($7,
300000:INTERVAL MINUTE)), <($2, +($7, 180000:INTERVAL MINUTE)))])
+ +- LogicalJoin(condition=[true], joinType=[inner])
+ :- LogicalWatermarkAssigner(fields=[id1, text, rowtime],
rowtimeField=[rowtime], watermarkDelay=[0])
+ : +- LogicalTableScan(table=[[default_catalog,
default_database, T1]])
+ +- LogicalWatermarkAssigner(fields=[id2, cnt, name, goods,
rowtime], rowtimeField=[rowtime], watermarkDelay=[0])
+ +- LogicalTableScan(table=[[default_catalog,
default_database, T2]])
LogicalSink(name=[`default_catalog`.`default_database`.`appendSink2`],
fields=[a, b])
+- LogicalProject(id1=[$0], EXPR$1=[$2])
+- LogicalAggregate(group=[{0, 1}], EXPR$1=[LISTAGG($2, $3)])
- +- LogicalProject(id1=[$0], $f1=[HOP($1, 12000:INTERVAL SECOND,
6000:INTERVAL SECOND)], text=[$2], $f3=[_UTF-16LE'*'])
- +- LogicalProject(id1=[$0], ts=[$2], text=[$1])
- +- LogicalFilter(condition=[AND(=($0, $3), >($2, -($7,
300000:INTERVAL MINUTE)), <($2, +($7, 180000:INTERVAL MINUTE)))])
- +- LogicalJoin(condition=[true], joinType=[inner])
- :- LogicalWatermarkAssigner(fields=[id1, text, rowtime],
rowtimeField=[rowtime], watermarkDelay=[0])
- : +- LogicalTableScan(table=[[default_catalog,
default_database, T1]])
- +- LogicalWatermarkAssigner(fields=[id2, cnt, name, goods,
rowtime], rowtimeField=[rowtime], watermarkDelay=[0])
- +- LogicalTableScan(table=[[default_catalog,
default_database, T2]])
+ +- LogicalProject(id1=[$0], $f1=[HOP($2, 12000:INTERVAL SECOND,
6000:INTERVAL SECOND)], text=[$1], $f3=[_UTF-16LE'*'])
+ +- LogicalFilter(condition=[AND(=($0, $3), >($2, -($7,
300000:INTERVAL MINUTE)), <($2, +($7, 180000:INTERVAL MINUTE)))])
+ +- LogicalJoin(condition=[true], joinType=[inner])
+ :- LogicalWatermarkAssigner(fields=[id1, text, rowtime],
rowtimeField=[rowtime], watermarkDelay=[0])
+ : +- LogicalTableScan(table=[[default_catalog,
default_database, T1]])
+ +- LogicalWatermarkAssigner(fields=[id2, cnt, name, goods,
rowtime], rowtimeField=[rowtime], watermarkDelay=[0])
+ +- LogicalTableScan(table=[[default_catalog,
default_database, T2]])
== Optimized Logical Plan ==
-Calc(select=[id1, rowtime AS ts, text], updateAsRetraction=[true],
accMode=[Acc], reuse_id=[1]): rowcount = , cumulative cost = {rows, cpu, io,
network, memory}
-+- WindowJoin(joinType=[InnerJoin], windowBounds=[isRowTime=true,
leftLowerBound=-299999, leftUpperBound=179999, leftTimeIndex=2,
rightTimeIndex=4], where=[AND(=(id1, id2), >(CAST(rowtime), -(CAST(rowtime0),
300000:INTERVAL MINUTE)), <(CAST(rowtime), +(CAST(rowtime0), 180000:INTERVAL
MINUTE)))], select=[id1, text, rowtime, id2, cnt, name, goods, rowtime0],
updateAsRetraction=[true], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
- :- Exchange(distribution=[hash[id1]], updateAsRetraction=[true],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
- : +- WatermarkAssigner(fields=[id1, text, rowtime],
rowtimeField=[rowtime], watermarkDelay=[0], miniBatchInterval=[None],
updateAsRetraction=[true], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
- : +- DataStreamScan(table=[[default_catalog, default_database, T1]],
fields=[id1, text, rowtime], updateAsRetraction=[true], accMode=[Acc]):
rowcount = , cumulative cost = {rows, cpu, io, network, memory}
- +- Exchange(distribution=[hash[id2]], updateAsRetraction=[true],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
- +- WatermarkAssigner(fields=[id2, cnt, name, goods, rowtime],
rowtimeField=[rowtime], watermarkDelay=[0], miniBatchInterval=[None],
updateAsRetraction=[true], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
- +- DataStreamScan(table=[[default_catalog, default_database, T2]],
fields=[id2, cnt, name, goods, rowtime], updateAsRetraction=[true],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
+WindowJoin(joinType=[InnerJoin], windowBounds=[isRowTime=true,
leftLowerBound=-299999, leftUpperBound=179999, leftTimeIndex=2,
rightTimeIndex=4], where=[AND(=(id1, id2), >(CAST(rowtime), -(CAST(rowtime0),
300000:INTERVAL MINUTE)), <(CAST(rowtime), +(CAST(rowtime0), 180000:INTERVAL
MINUTE)))], select=[id1, text, rowtime, id2, cnt, name, goods, rowtime0],
updateAsRetraction=[true], accMode=[Acc], reuse_id=[1]): rowcount = ,
cumulative cost = {rows, cpu, io, network, memory}
+:- Exchange(distribution=[hash[id1]], updateAsRetraction=[true],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
+: +- WatermarkAssigner(fields=[id1, text, rowtime], rowtimeField=[rowtime],
watermarkDelay=[0], miniBatchInterval=[None], updateAsRetraction=[true],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
+: +- DataStreamScan(table=[[default_catalog, default_database, T1]],
fields=[id1, text, rowtime], updateAsRetraction=[true], accMode=[Acc]):
rowcount = , cumulative cost = {rows, cpu, io, network, memory}
++- Exchange(distribution=[hash[id2]], updateAsRetraction=[true],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
+ +- WatermarkAssigner(fields=[id2, cnt, name, goods, rowtime],
rowtimeField=[rowtime], watermarkDelay=[0], miniBatchInterval=[None],
updateAsRetraction=[true], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
+ +- DataStreamScan(table=[[default_catalog, default_database, T2]],
fields=[id2, cnt, name, goods, rowtime], updateAsRetraction=[true],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
Sink(name=[`default_catalog`.`default_database`.`appendSink1`], fields=[a, b],
updateAsRetraction=[false], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
-+- GroupWindowAggregate(groupBy=[id1], window=[TumblingGroupWindow('w$, ts,
8000)], select=[id1, LISTAGG(text, $f3) AS EXPR$1], updateAsRetraction=[false],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
++- GroupWindowAggregate(groupBy=[id1], window=[TumblingGroupWindow('w$,
rowtime, 8000)], select=[id1, LISTAGG(text, $f3) AS EXPR$1],
updateAsRetraction=[false], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
+- Exchange(distribution=[hash[id1]], updateAsRetraction=[true],
accMode=[Acc]): rowcount = , cumulative cost = {rows, cpu, io, network, memory}
- +- Calc(select=[id1, ts, text, _UTF-16LE'#' AS $f3],
updateAsRetraction=[true], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
+ +- Calc(select=[id1, rowtime, text, _UTF-16LE'#' AS $f3],
updateAsRetraction=[true], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
+- Reused(reference_id=[1])
Sink(name=[`default_catalog`.`default_database`.`appendSink2`], fields=[a, b],
updateAsRetraction=[false], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
-+- GroupWindowAggregate(groupBy=[id1], window=[SlidingGroupWindow('w$, ts,
6000, 12000)], select=[id1, LISTAGG(text, $f3) AS EXPR$1],
updateAsRetraction=[false], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
++- GroupWindowAggregate(groupBy=[id1], window=[SlidingGroupWindow('w$,
rowtime, 6000, 12000)], select=[id1, LISTAGG(text, $f3) AS EXPR$1],
updateAsRetraction=[false], accMode=[Acc]): rowcount = , cumulative cost =
{rows, cpu, io, network, memory}
Review comment:
The name was changed because of CALCITE-2718. But because `rowtime ` is not
a output field, so the final output row type is not changed.
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