![]() ![]() Now, let’s see how to enable it using ClusterControl. Timescaledb | 1.6.0 | public | Enables scalable inserts and complex queries for time-series Note: TimescaleDB collects anonymous reports to better understand and assist our users.įor more information and how to disable, please see our docs. World=# CREATE EXTENSION IF NOT EXISTS timescaledb CASCADE ![]() So now, you need to enable it: $ psql world Timescaledb | 1.6.0 | | Enables scalable inserts and complex queries f Name | default_version | installed_version | comment Keep in mind that this change requires a database service restart:Īnd then, you will have your TimescaleDB installed: postgres=# SELECT * FROM pg_available_extensions WHERE name='timescaledb' You can also configure the max_background_workers for TimescaleDB to specify the max number of background workers. Or if you already have something added there: shared_preload_libraries = 'pg_stat_statements,timescaledb' For this, edit your nf file and add ‘ timescaledb‘ in the shared_preload_libraries parameter: shared_preload_libraries = 'timescaledb' Next step is to install the package: $ yum install timescaledb-postgresql-11Īnd configure it in your current PostgreSQL database. We will assume you have the PostgreSQL repository in place as this TimescaleDB installation will require dependencies from there. Sslcacert=/etc/pki/tls/certs/ca-bundle.crt So first, you need to add the corresponding repository to install the software: $ cat /etc//timescale_timescaledb.repo Plpgsql | 1.0 | pg_catalog | PL/pgSQL procedural language Enabling TimescaleDB Manuallyįor this blog, we will use CentOS 7 as the operating system and PostgreSQL 11 as the database server.īy default, you don’t have TimescaleDB enabled for PostgreSQL: world=# dx In this blog, we will see how to manually enable TimescaleDB in an existing PostgreSQL database and how to do the same task using ClusterControl. It is based on PostgreSQL and it offers the best of NoSQL and Relational worlds for Time-series data. TimescaleDB is an open-source time-series database optimized for fast ingest and complex queries that supports full SQL. ![]() If you have a PostgreSQL cluster up-and-running, and you need to handle data that changes with time (like metrics collected from a system) you should consider using a time-series database that is designed to store this kind of data. ![]()
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