There was a inherent bug in my code which did this,
On Wed, Aug 24, 2016 at 8:07 PM, sujeet jog <sujeet....@gmail.com> wrote:
> Hi,
>
> I have a table with definition as below , when i write any records to this
> table, the varchar(20 ) gets changes to text, and it also losses the
> primary key index,
> any idea how to write data with spark SQL without loosing the primary key
> index & data types. ?
>
>
> MariaDB [analytics]> show columns from fcast;
> +-----------------+-------------+------+-----+--------------
> -----+-----------------------------+
> | Field | Type | Null | Key | Default | Extra
> |
> +-----------------+-------------+------+-----+--------------
> -----+-----------------------------+
> | TimeSeriesID | varchar(20) | NO | PRI | |
> |
> | TimeStamp | timestamp | NO | PRI | CURRENT_TIMESTAMP | on
> update CURRENT_TIMESTAMP |
> | Forecast | double | YES | | NULL |
> |
>
> I'm just doinig DF.write.mode("append").jdbc
>
> Thanks,
>
>
