====== PostgreSQL Index Types ======
Not everything should be a B-Tree {{/dokuwiki/lib/images/smileys/icon_wink.gif|;-)}}
https://postgresql.us/events/pgopen2019/sessions/session/647/slides/45/look-it-up.pdf
For example, 'bloom' indexes might be useful in case of dynamic filters like this:
WHERE picalike_brand='soliver' and picalike_gender='women' and shop_id='some_de_crawler'
The advantage over compound indexes is that you do not need to create one for every possible subset.
===== Take a Deeper Look =====
To analyze the values and distribution of a certain column in a relation:
\x
select * from pg_stats where tablename='new_filters' and attname='picalike_brand' limit 1;
==== Abuse FTS ====
When the goal is to use generic filters like
'a & b', 'a | b' or 'a - b'
and several columns are possible, it might be useful to use the ::tsvector, ::tsquery types. Those are mainly for full text search, but they allow to perform search queries like
'pg_women & pc_clothing__dresses'
in a very compact and efficient format.
But extra care must be taken, since to_tsvector transforms the data, so in our case, just pass a string to insert like that
'pg_women pg_clothing__dresses'::tsvector
. Some special characters like '&' and ':' are not allowed.
Finally, one can use
SELECT * FROM dingens where vector_column @@ 'pg_women & pc_clothing__dresses
to lookup everything that contains both filters.
===== Bloom =====
https://www.postgresql.org/docs/12/bloom.html
Trade-off: N btree indexes vs. 1 bloom index .. space versus time
====== Cluster Tables with an Index ======
To remove the clustering from a table
alter table oneshot set without cluster;
Reorganize a table by the order induced by some index
cluster filters using picalike_category
Refresh a clustering
cluster filters
More info: https://www.postgresql.org/docs/12/sql-cluster.html
===== Include columns into a cluster =====
HINT: not possible with GIN indexes {{/dokuwiki/lib/images/smileys/icon_sad.gif|:-(}}
create index multi_meta on oneshot using gin ("multi") include ("metadata");
→ ERROR: access method “gin” does not support included columns