![]() The following NEW packages will be installed: Lm-sensors postgresql-doc postgresql-doc-12 libjson-perl openssl-blacklist isag ![]() Libllvm10 libpq5 libsensors-config libsensors5 postgresql-12 postgresql-client-12 postgresql-client-common postgresql-common The following additional packages will be installed: Since PostgreSQL is available, let’s install it from the package: $ sudo apt-get install postgresql Postgresql | 12+214 | focal/main amd64 Packages Postgresql | 12+214ubuntu0.1 | focal-security/main amd64 Packages ![]() Postgresql | 12+214ubuntu0.1 | focal-updates/main amd64 Packages Step 1 – Install PostgreSQLīefore installing, let’s check the version that is available in the preconfigured APT repositories: $ sudo apt-get update This is similar to the official HA architecture as documented here. We will be setting up two active Grafana applications that are configured to use the same PostgreSQL database for their configuration store. Hence, I decided to write this guide to explain how to setup a PostgreSQL database for a Grafana HA setup. As of today, the closest I found was this guide explaining how to setup MySQL for migrating data in SQLite to it. Based on this 2018 forum post, it did seem like the documentation once included steps to get the database(s) setup – but it was removed along the way. Unfortunately, the current documentation ends with “how to configure the database for high availability is out of scope for this guide”, and leaves it up to the reader to figure it out. The documentation specifically states that MySQL and PostgreSQL are supported options. However, this does not scale for a High Availability (HA) setup – instead, an external relational database should be used. (…) By default, Grafana installs with and uses SQLite, which is an embedded database stored in the Grafana installation location. Grafana requires a database to store its configuration data, such as users, data sources, and dashboards. We have created a dashboard and added the panel which displays data from MariaDB database.The default installation of Grafana uses an embedded SQLite database to store its configuration data. Provide the dashboard name, and then click "Save". Select table (2), time column (3), data column and it alias (4). ![]() Choose MariaDB from the data source selector (1). Now click + icon in the side menu and choose "Dashboard". Provide the name of data source and MariaDB connection information: host, database, user, and password. Data source for MySQL database is compatible with MariaDB. Scroll down to the "SQL" section and select "MySQL". Click on "Configuration" in the side menu and choose "Data Sources". Now open a web browser and log in to the Grafana. INSERT INTO cpu_metrics (cpu_usage, created_at) VALUES Id BIGINT UNSIGNED NOT NULL PRIMARY KEY AUTO_INCREMENT,Ĭpu_usage DECIMAL(5, 2) UNSIGNED NOT NULL, GRANT SELECT ON grafanadb.* TO a table and insert few rows for testing. Connect to the MariaDB Server via command line: mariadb -u root -pĬreate a database and a new user that will be used by Grafana for connection to the database. mariadb -versionįirst of all we need to setup a database table and populate it with data. In this tutorial we will demonstrate how to configure MariaDB as data source for Grafana.īefore starting make sure you have installed MariaDB and Grafana on the server. Grafana supports a variety of data sources such as MySQL, PostgreSQL, Prometheus, InfluxDB, and others.
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