Making a Postgres query 1,000 times faster
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Making a Postgres query 1,000 times faster
Optimizing Further
Creating so many indices and aggregating so many tables is sub-optimal. To optimize this, we employ materialized views, which create a separate disk-based entity and hence support indexing. The only downside is that we have to keep it updated.
CREATE MATERIALIZED VIEW search_view AS
ᅠᅠSELECT c.name FROM company c UNION
ᅠᅠSELECT... See more
Creating so many indices and aggregating so many tables is sub-optimal. To optimize this, we employ materialized views, which create a separate disk-based entity and hence support indexing. The only downside is that we have to keep it updated.
CREATE MATERIALIZED VIEW search_view AS
ᅠᅠSELECT c.name FROM company c UNION
ᅠᅠSELECT... See more
How Levels.fyi Built Scalable Search with PostgreSQL
- ClickHouse: It's a high performance columnar database that's great for real time queries. It enables querying and storing large amounts of data on commodity hardware. Some of my customers have millions of page views and I don't have an unlimited budget, so it's been very handy.
- PostgreSQL: My favorite database. Sane defaults, battle-tested, and well