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Quickwit data source for Grafana

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The Quickwit data source plugin allows you to query and visualize Quickwit data from within Grafana.

It is available for installation directly from the Grafana catalog or you can download the latest version and follow the installation guide.

Special thanks and a note on the license

This plugin is heavily inspired by the elasticsearch plugin available on the Grafana repository. First of all, huge thanks to the Grafana team for open-sourcing all their work.

It's more or less a fork of this plugin to adapt the code to Quickwit API. See LICENSING for details on the license and the changes made.

The license for this project is AGPL-3.0, and a notice was added to respect the Grafana Labs license.

Version compatibility

We recommend Grafana v10.X.

Quickwit 0.7 is compatible with 0.3.x versions only.

Quickwit 0.8 is compatible with 0.4.x versions only.

Installation

You can either download the plugin manually and unzip it into the plugin directory or use the env variable GF_INSTALL_PLUGINS to install it.

0.4.6 for Quickwit 0.8

Run grafana-oss container with the env variable:

docker run -p 3000:3000 -e GF_INSTALL_PLUGINS="https://github.com/quickwit-oss/quickwit-datasource/releases/download/v0.4.6/quickwit-quickwit-datasource-0.4.6.zip;quickwit-quickwit-datasource" grafana/grafana-oss run

Or download the plugin manually and start Grafana

wget https://github.com/quickwit-oss/quickwit-datasource/releases/download/v0.4.6/quickwit-quickwit-datasource-0.4.6.zip
mkdir -p plugins
unzip quickwit-quickwit-datasource-0.4.6.zip -d plugins/quickwit-quickwit-datasource-0.4.6
docker run -p 3000:3000 -e GF_PATHS_PLUGINS=/data/plugins -v ${PWD}/plugins:/data/plugins grafana/grafana-oss run

0.3.2 for Quickwit 0.7

Run grafana-oss container with the env variable:

docker run -p 3000:3000 -e GF_INSTALL_PLUGINS="https://github.com/quickwit-oss/quickwit-datasource/releases/download/v0.3.2/quickwit-quickwit-datasource-0.3.2.zip;quickwit-quickwit-datasource" grafana/grafana-oss run

Or download the plugin manually and start Grafana

wget https://github.com/quickwit-oss/quickwit-datasource/releases/download/v0.3.2/quickwit-quickwit-datasource-0.3.2.zip
mkdir -p plugins
unzip quickwit-quickwit-datasource-0.3.2.zip -d plugins/quickwit-quickwit-datasource-0.3.2
docker run -p 3000:3000 -e GF_PATHS_PLUGINS=/data/plugins -v ${PWD}/plugins:/data/plugins grafana/grafana-oss run

Additional instructions

If you are running a local Quickwit instance on Linux, add the --network=host argument to the docker run command. This will allow Grafana to access services on the host machine. You can later use http://localhost:7280/api/v1 in the Quickwit API URL when configuring the data source.

The default username and password are admin and admin.

You're all set!

Plugins management

For detailed instructions on how to install plugins on Grafana Cloud or locally, please check out the Plugin management docs.

Configuration

To configure the Quickwit datasource, you need to provide the following information:

With Grafana UI

Follow these instructions to add a new Quickwit data source, and enter configuration options.

With a configuration file

apiVersion: 1

datasources:
  - name: Quickwit
    type: quickwit-quickwit-datasource
    url: http://localhost:7280/api/v1
    jsonData:
      index: 'hdfs-logs'
      logMessageField: body
      logLevelField: severity_text

Features

FAQ and Limitations

The editor shows errors in my query

If you’re sure your query is correct and the results are fetched, then you’re fine! The query linting feature is still quite rough around the edges and will improve in future versions of the plugin. If results are not fetched, make sure you are using a recent version of Quickwit, as some improvements have been made to the query parser.

The older logs button stops working

This is probably due to a bug in Grafana up to versions 10.3, the next release of Grafana v10.4 should fix the issue.

There are holes in my logs between pages

This may be due to a limitation of the pagination scheme. In order to avoid querying data without controlling the size of the response, we set a limit on how many records to fetch per query. The pagination scheme then tries to fetch the next chunk of results based on the timestamps already collected and may skip some logs if there was more records with a given timestamp. To avoid that : try using timestamps with a finer resolution if possible, set the query limits higher or refine your query.

Contributing to Quickwit datasource

Details on our contributing guide.