As a data consumer, I'd prefer if columns matched between EventLogging and
production DBs as closely as possible, so VARBINARY sounds like a win to
me.


On Fri, Jun 13, 2014 at 5:39 AM, Nuria Ruiz <[email protected]> wrote:

> >However, as Nuria mentioned, consistency with Mediawiki may be safest if
> we expect that client packages will continue >to have encoding challenges.
> Also cross-db/charset joins to be considered.
>
> My last reply on this thread, I promise. As I have come to learn as of
> late (encoding in python 2.7 is a world of joy), having the right encoding
> in python while using sqlalchemy has a lot to do on "how" you connect to
> the db.
>
> If we use VARBINARY types we also need to connect either by specifying
> convert_unicode=True or with connect_args={"charset" : "utf8"}
>
> In the second case (specifying the charset) while our db types are
> VARBINARY the sql alchemy column types can be strings and everything is
> happy, this seems like the easiest solution.
>
>
>
>
>
>
>
> On Tue, Jun 10, 2014 at 6:14 AM, Sean Pringle <[email protected]>
> wrote:
>
>> On Tue, Jun 10, 2014 at 1:12 PM, Ori Livneh <[email protected]> wrote:
>>
>>>
>>>     ...and back to utf8 as default charset
>>>
>>>     The version of MySQLdb that is packaged for Precise does not know
>>> about
>>>     utf8mb4. I (inexcusably) tested against the dev branch of MySQLdb.
>>>
>>
>> Bet that was a fun day :)  Somewhat like today for me...
>>
>> We no longer use the precise packages. m2-master supports utf8mb4 if
>> anyone wishes to use it.
>>
>> However, as Nuria mentioned, consistency with Mediawiki may be safest if
>> we expect that client packages will continue to have encoding challenges.
>> Also cross-db/charset joins to be considered.
>>
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