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https://issues.apache.org/jira/browse/CALCITE-1581?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15858085#comment-15858085
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Jianchao He commented on CALCITE-1581:
--------------------------------------
Hi, Julian, in Xiaoyong's video_stream analyze scenario, using *LATERAL TABLE*
maybe a choice:
{quote}
select stream
car_color, car_speed, car_plate
from video_stream, LATERAL TABLE(udtf_analyze(binary_data, meta_data)) as
t(car_color, car_speed, car_plate)
{quote}
further more, does all scenarios which need UDAF can use *LATERAL TABLE* to
express?
we would like to seek you advice on addressing such kind of matter, Thanks.
> UDTF like in hive
> -----------------
>
> Key: CALCITE-1581
> URL: https://issues.apache.org/jira/browse/CALCITE-1581
> Project: Calcite
> Issue Type: New Feature
> Reporter: Xiaoyong Deng
> Assignee: Julian Hyde
> Labels: udtf
>
> Support one row in and multi-column/multi-row out(one-to-many mapping), just
> like udtf in hive.
> The query would like this:
> {code}
> select
> func(c0, c1) as (f0, f1, f2)
> from table_name;
> {code}
> c0 and c1 are 'table_name' columns. f0, f1 and f2 are new generated columns.
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