On Wed, May 25, 2011 at 11:59 AM, Pierre C <lists@peufeu.com> wrote:
>> You wrote
>>>
>>> Try to create a btree index on "(bench_hstore->bench_id) WHERE
>>> (bench_hstore->bench_id) IS NOT NULL".
>>
>> What do you mean exactly?
>> => CREATE INDEX myhstore_kps_gin_idx ON myhstore USING gin(kvps) WHERE
>> ??? IS NOT NULL;
>>
>> My table's def is:
>>>
>>> CREATE TABLE myhstore ( id bigint PRIMARY KEY, kvps hstore NOT NULL );
>>
>> So I'm doing something like:
>> CREATE INDEX myhstore_kps_gin_idx ON myhstore USING gin(kvps);
>
> Hello ;
>
> I meant a plain old btree index like this :
>
> CREATE INDEX foo ON myhstore((kvps->'yourkeyname')) WHERE
> (kvps->'yourkeyname') IS NOT NULL;
>
> The idea is that :
>
> - The reason to use hstore is to have an arbitrary number of keys and use
> the keys you want, not have a fixed set of columns like in a table
> - Therefore, no hstore key is present in all rows (if it was, you'd make
> it a table column, and maybe index it)
> - You'll probably only want to index some of the keys/values (avoiding to
> index values that contain serialized data or other stuff that never
> appears in a WHERE clause)
>
> So, for each key that corresponds to a searchable attribute, I'd use a
> conditional index on that key, which only indexes the relevant rows. For
> keys that never appear in a WHERE, no index is needed.
>
> gist is good if you want the intersecton of a hstore with another one (for
> instance), btree is good if you want simple search or range search.
+1 on this approach. it works really well (unless, of course, you
need 50 indexes...)
merlin