Hi,
+1 for the feature. This is very important to improve query perf instead of
waiting for SI and main table to e always in sync.
I have reviewed the doc and given comments, please handle and please discuss
with @venu Si as datamap feature to be inline as informed earlier.
P.S: This design
Hi,
+1 for feature. Thanks for proposing it as now most of the use case from
user perspective involves complex columns.
I have reviewed the doc and given comments, please work on it, then can be
reviewed again.
Regards,
Akash R
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Hi all.!
As discussed in the community meeting held on last week of Feb 2021, we
already have plan to make Secondary Index as a Coarse Grain Datamap in the
future. And It would be more appropriate for this requirement to implement
Secondary Index as the CG Datamap. Presto query can leverage
Hi,
+1 for the new functionality.
my suggestion is to modify the DDL something like below
DESCRIBE column fieldname ON [db_name.]table_name;
DESCRIBE table short/transient [db_name.]table_name;
Others can give their suggestions
Thanks,
Regards,
Akash R
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+1. It is an important feature needs to be supported.
Since, you have mentioned alter drop struct child column, are you gonna
handle below scenarios also in phase 1?
1. support rename/change struct primitive child members ?
2. add new primitive child members in an existing struct ?
If so,
+1
Nice idea. It improves the readibility.
Regards,
Venu
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+1. Please update design, for Map type having more than one level of complex
types.
For example, map>
Regards,
Indhumathi M
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Hi community,
Currently, carbon supports IN_POLYGON and IN_POLYGON_LIST udf's,
where user has to manually provide the polygon points(series of latitude
and longitude pair), to query carbon table based on spatial index.
This feature will support JOIN tables based on IN_POLYGON udf
filter,
+1 good idea for visualizing complex columns
On Thu, Mar 18, 2021 at 10:35 PM Shreelekhya
wrote:
> Hi,
>
> Currently describe formatted displays the column information of a table and
> some additional information. When complex types such as ARRAY, STRUCT, and
> MAP types are present in table,
