[
https://issues.apache.org/jira/browse/FLINK-6101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
lincoln.lee updated FLINK-6101:
-------------------------------
Description:
currently the TableAPI do not support selecting GroupBy fields with expression
either using original field name or the expression
{code}
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.groupBy('e, 'b % 3)
.select('b, 'c.min, 'e, 'a.avg, 'd.count)
{code}
caused
{code}
org.apache.flink.table.api.ValidationException: Cannot resolve [b] given input
[e, ('b % 3), TMP_0, TMP_1, TMP_2].
{code}
(BTW, this syntax is invalid in RDBMS which will indicate the selected column
is invalid in the select list because it is not contained in either an
aggregate function or the GROUP BY clause in SQL Server.)
and
{code}
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.groupBy('e, 'b % 3)
.select('b%3, 'c.min, 'e, 'a.avg, 'd.count)
{code}
will also cause
{code}
org.apache.flink.table.api.ValidationException: Cannot resolve [b] given input
[e, ('b % 3), TMP_0, TMP_1, TMP_2].
{code}
and add an alias in groupBy clause "group(e, 'b%3 as 'b)" work without avail.
and apply an UDF doesn’t work either
{code}
table.groupBy('a, Mod('b, 3)).select('a, Mod('b, 3), 'c.count, 'c.count,
'd.count, 'e.avg)
org.apache.flink.table.api.ValidationException: Cannot resolve [b] given input
[a, org.apache.flink.table.api.scala.batch.table.Mod$('b, 3), TMP_0, TMP_1,
TMP_2].
{code}
the only way to get this work can be
{code}
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.select('a, 'b%3 as 'b, 'c, 'd, 'e)
.groupBy('e, 'b)
.select('b, 'c.min, 'e, 'a.avg, 'd.count)
{code}
One way to solve this is to add support alias in groupBy clause ( it seems a
bit odd against SQL though TableAPI has a different groupBy grammar),
and I prefer to support select original expressions and UDF in groupBy
clause(make consistent with SQL).
as thus:
{code}
// use expression
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.groupBy('e, 'b % 3)
.select('b % 3, 'c.min, 'e, 'a.avg, 'd.count)
// use UDF
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.groupBy('e, Mod('b,3))
.select(Mod('b,3), 'c.min, 'e, 'a.avg, 'd.count)
{code}
After had a look into the code, found there was a problem in the groupBy
implementation, validation hadn't considered the expressions in groupBy clause.
it should be noted that a table has been actually changed after groupBy
operation ( a new Table) and the groupBy keys replace the original field
reference in essence.
What do you think?
was:
currently the TableAPI do not support selecting GroupBy fields with expression
either using original field name or the expression
{code}
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.groupBy('e, 'b % 3)
.select('b, 'c.min, 'e, 'a.avg, 'd.count)
{code}
caused
{code}
org.apache.flink.table.api.ValidationException: Cannot resolve [b] given input
[e, ('b % 3), TMP_0, TMP_1, TMP_2].
{code}
(BTW, this syntax is invalid in RDBMS which will indicate the selected column
is invalid in the select list because it is not contained in either an
aggregate function or the GROUP BY clause in SQL Server.)
and
{code}
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.groupBy('e, 'b % 3)
.select('b%3, 'c.min, 'e, 'a.avg, 'd.count)
{code}
will also cause
{code}
org.apache.flink.table.api.ValidationException: Cannot resolve [b] given input
[e, ('b % 3), TMP_0, TMP_1, TMP_2].
{code}
and add an alias in groupBy clause "group(e, 'b%3 as 'b)" work without avail.
and apply an UDF doesn’t work either
{code}
table.groupBy('a, Mod('b, 3)).select('a, Mod('b, 3), 'c.count, 'c.count,
'd.count, 'e.avg)
org.apache.flink.table.api.ValidationException: Cannot resolve [b] given input
[a, org.apache.flink.table.api.scala.batch.table.Mod$('b, 3), TMP_0, TMP_1,
TMP_2].
{code}
the only way to get this work can be
{code}
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.select('a, 'b%3 as 'b, 'c, 'd, 'e)
.groupBy('e, 'b)
.select('b, 'c.min, 'e, 'a.avg, 'd.count)
{code}
One way to solve this is to add support alias in groupBy clause ( it seems a
bit odd against SQL though TableAPI has a different groupBy grammar),
and I prefer to support select original expressions in groupBy clause(make
consistent with SQL).
as thus:
{code}
val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c, 'd,
'e)
.groupBy('e, 'b % 3)
.select('b % 3, 'c.min, 'e, 'a.avg, 'd.count)
{code}
After had a look into the code, found there was a problem in the groupBy
implementation, validation hadn't considered the expressions in groupBy clause.
it should be noted that a table has been actually changed after groupBy
operation ( a new Table) and the groupBy keys replace the original field
reference in essence.
What do you think?
> GroupBy fields with arithmetic expression (include UDF) can not be selected
> ---------------------------------------------------------------------------
>
> Key: FLINK-6101
> URL: https://issues.apache.org/jira/browse/FLINK-6101
> Project: Flink
> Issue Type: Bug
> Components: Table API & SQL
> Reporter: lincoln.lee
> Fix For: 1.3.0
>
>
> currently the TableAPI do not support selecting GroupBy fields with
> expression either using original field name or the expression
> {code}
> val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c,
> 'd, 'e)
> .groupBy('e, 'b % 3)
> .select('b, 'c.min, 'e, 'a.avg, 'd.count)
> {code}
> caused
> {code}
> org.apache.flink.table.api.ValidationException: Cannot resolve [b] given
> input [e, ('b % 3), TMP_0, TMP_1, TMP_2].
> {code}
> (BTW, this syntax is invalid in RDBMS which will indicate the selected column
> is invalid in the select list because it is not contained in either an
> aggregate function or the GROUP BY clause in SQL Server.)
> and
> {code}
> val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c,
> 'd, 'e)
> .groupBy('e, 'b % 3)
> .select('b%3, 'c.min, 'e, 'a.avg, 'd.count)
> {code}
> will also cause
> {code}
> org.apache.flink.table.api.ValidationException: Cannot resolve [b] given
> input [e, ('b % 3), TMP_0, TMP_1, TMP_2].
> {code}
> and add an alias in groupBy clause "group(e, 'b%3 as 'b)" work without avail.
> and apply an UDF doesn’t work either
> {code}
> table.groupBy('a, Mod('b, 3)).select('a, Mod('b, 3), 'c.count, 'c.count,
> 'd.count, 'e.avg)
> org.apache.flink.table.api.ValidationException: Cannot resolve [b] given
> input [a, org.apache.flink.table.api.scala.batch.table.Mod$('b, 3), TMP_0,
> TMP_1, TMP_2].
> {code}
> the only way to get this work can be
> {code}
> val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c,
> 'd, 'e)
> .select('a, 'b%3 as 'b, 'c, 'd, 'e)
> .groupBy('e, 'b)
> .select('b, 'c.min, 'e, 'a.avg, 'd.count)
> {code}
> One way to solve this is to add support alias in groupBy clause ( it seems a
> bit odd against SQL though TableAPI has a different groupBy grammar),
> and I prefer to support select original expressions and UDF in groupBy
> clause(make consistent with SQL).
> as thus:
> {code}
> // use expression
> val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c,
> 'd, 'e)
> .groupBy('e, 'b % 3)
> .select('b % 3, 'c.min, 'e, 'a.avg, 'd.count)
> // use UDF
> val t = CollectionDataSets.get5TupleDataSet(env).toTable(tEnv, 'a, 'b, 'c,
> 'd, 'e)
> .groupBy('e, Mod('b,3))
> .select(Mod('b,3), 'c.min, 'e, 'a.avg, 'd.count)
> {code}
> After had a look into the code, found there was a problem in the groupBy
> implementation, validation hadn't considered the expressions in groupBy
> clause. it should be noted that a table has been actually changed after
> groupBy operation ( a new Table) and the groupBy keys replace the original
> field reference in essence.
>
> What do you think?
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