It is possible to connect to multiple databases through PgBouncer by setting PGBOUNCER_URLS to a list of config vars. $ git commit -av -m "web processes now use PgBouncer" Your app should now be using PgBouncer to connect to Postgres. web: bin/start-pgbouncer your-web-appĬommit your changes and push. The following example configures web processes to connect to Postgres via PgBouncer and worker processes to connect directly to Postgres. $ heroku buildpacks:add heroku/pgbouncerĮdit the Procfile and add bin/start-pgbouncer to the appropriate lines. ConfigurationĪdd the PgBouncer buildpack to your app. Refer to PGBouncer’s feature matrix for all transaction pooling caveats. You need to use named prepared statements, advisory locks, listen/notify, or other features that operate on a session level. This is a slightly more complete answer from stackoverflow. You have many workers per dyno that hold open idle connections and you are concerned about Postgres reaching connection limits. The buildpack’s source code can be found on Github. ![]() For example, 10 unicorn workers would be able to share a single database connection, avoiding connection limits and Out Of Memory errors on the Postgres server. The primary use of the buildpack is to allow for transaction pooling of PostgreSQL database connections among multiple workers in a dyno. It is meant to be used in conjunction with other buildpacks. Heroku provides a buildpack to run PgBouncer alongside application code. ![]() Language/library specific configuration.
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