View query metrics with the database's slow query log
After connecting your app to ReadySet, profile your app performance and identify queries to cache in ReadySet. Generally, it's best to focus on frequent queries that are too slow and/or that are putting unwanted load on your upstream database.
Enabling metrics
You can use the pg_stat_statements extension (opens in a new tab) to retrieve detailed information about the queries running against your Postgres instance.
Connect to your database via the shell. Run the following command to see if pg_stat_statements is installed.
SELECT calls, query FROM pg_stat_statements LIMIT 1;If an error is returned, enable pg_stat_statments with the following command:
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;In some environments, the pg_stat_statements extension may not be available. In that case, run ALTER SYSTEM SET shared_preload_libraries = 'pg_stat_statements'; and restart your Postgres instance before re-running the CREATE EXTENSION command.
Identifying queries to cache
To find queries that put the highest load on the database, run:
SELECT query, calls, total_exec_time, mean_exec_time from pg_stat_statements WHERE query ILIKE '%SELECT%' order by total_exec_time DESC;To find queries with the highest latency, run:
SELECT query, calls, total_exec_time, mean_exec_time from pg_stat_statements WHERE query ILIKE '%SELECT%' order by mean_exec_time DESC;To find the most frequently issued queries, run:
SELECT query, calls, total_exec_time, mean_exec_time from pg_stat_statements WHERE query ILIKE '%SELECT%' order by calls DESC;Once you've identified queries to cache, you can cache them in ReadySet.