Getting data out of SQLite is quite easy. There might come a time, when a migration to a more robust DB engine becomes necessary. Grafana will automagically create all the tables that it will need. There might come a time, when a migration to a more robust DB engine becomes necessary. In this case, PostgreSQL was picked. In this final part I will show how Grafana can retrieve our pipeline data from PostgreSQL and visualize it as a graph. Open the side menu by clicking the Grafana icon in the top header. The solution is to migrate to a database that isn't the default one of SQLite. These actions were also added to the migration script.The adjusted scripts, which did most of the migration work, are After the data had been migrated, one last step was needed - adjust There are situations, when the committer information of a git repo must be rewritten. Just need to do a backup of the Grafana database:The biggest challenge proved to be converting the data in SQLite DB dump into format that could be successfully imported into a PostgreSQL instance and actually used by Grafana.Some of the fields in SQLite dump were hex-encoded, which was not directly compatible with Grafana, when it was configured to use a PostgreSQL DB. However, there are some column types that are difficult to translate from SQLite to Postgres, particularly the boolean values. If you are unaware, Grafana is a fantastic tool for creating and sharing dashboards. Tested Versions of Grafana. For instance, a foreign repo is to be migrated into an environment, that has strict(er)Ansible has some really useful filters for various types of objects. This code is an adaption of this gist to the newer Grafana version (namely 5.1.3), so all credit goes to the author. Prerequisites. Click the + Add data source button in the top header. The easiest-to-use DB backend for Grafana is SQLite, which is fine for small deployments and testing. In the side menu under the Dashboards link you should find a link named Data Sources. However, you may quickly find yourself outgrowing its default SQLite database if you have too many people trying to use your Grafana instance at once.In my case, this issue of scale presented itself by the SQLite database frequently being inable to be lookup a user's session cookie, which would cause users to get logged out despite having a valid session. PostgreSQL By default, Grafana installs with and uses SQLite, which is an embedded database stored in the Grafana installation location.
Recently, I had to use them in practice. http://docs.grafana.org/features/datasources/postgres/ Adding the data source. NOTE: PostgreSQL versions 9.5.18, 9.4.23, 9.6.14, 10.9, 11.4, and 12-beta2 are affected by a bug (tracked by the PostgreSQL project as bug #15865 ) which prevents those versions from being used with Grafana. Grafana ships with a built-in PostgreSQL data source plugin that allows you to query and visualize data from a PostgreSQL compatible database.
To ensure that everything would work the way I wanted it to, I set out to make my own application that would handle the import of the SQLite database to Postgres.In addition to just running the DDL statements after sanitizing them, the primary points I addressed in my program are:The biggest challenge I encountered during the building of the project was the fact that SQLite dumps the JSON definitions of Grafana dashboards as hex-encoded values, but you cannot just import those hex-encoded strings into Postgres as they will not be recognized. Connecting to postgresql-11.5.1 from grafana is not working. The HexDecode function I wrote has some inefficiencies (such as converting The fruit of all this effort can be found on my Github in the Selenium test cases can be a pain to write. Migrating Grafana from SQLite to PostgreSQL Credits. This is a short write-up about what was done to make the migration possible.It would be tedious to do all that manually. You can shut Grafana down once those tables are … Fortunately, a while back someone had already created a To begin, a source Grafana data dump of SQLite DB was needed.
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