[ 
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}
 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}
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 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 "group(e, 'b%3 as 'b)" still doesn't work
{code}
java.lang.IllegalArgumentException: field [b] not found; input fields are: [e, 
b5, 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}

I'm confused, should we add support alias in groupBy clause? ( it seems a bit 
odd against SQL, but TableAPI has a different groupBy grammar )

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}
 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}
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 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 "group(e, 'b%3 as 'b)" still doesn't work
{code}
java.lang.IllegalArgumentException: field [b] not found; input fields are: [e, 
b5, 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}

I'm confused, should we add support alias in groupBy clause? ( it seems a bit 
odd against SQL, but TableAPI has a different groupBy grammar )





> GroupBy fields with expression can not be selected either using original name 
> or expression 
> --------------------------------------------------------------------------------------------
>
>                 Key: FLINK-6101
>                 URL: https://issues.apache.org/jira/browse/FLINK-6101
>             Project: Flink
>          Issue Type: Bug
>          Components: Table API & SQL
>            Reporter: lincoln.lee
>
> 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}
>  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}
> 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 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 "group(e, 'b%3 as 'b)" still doesn't work
> {code}
> java.lang.IllegalArgumentException: field [b] not found; input fields are: 
> [e, b5, 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}
> I'm confused, should we add support alias in groupBy clause? ( it seems a bit 
> odd against SQL, but TableAPI has a different groupBy grammar )
> What do you think?



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