Commit b8bc1001 by Marcus Olsson Committed by GitHub

Docs: Add logs data source guide (#24423)

parent 444058a5
+++
title = "Build a logs data source"
type = "docs"
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# Build a logs data source
This guide explains how to build a logs data source plugin.
Data sources in Grafana supports both metrics and log data. The steps to build a logs data source are largely the same as for a metrics data source. This guide assumes that you're already familiar with how to [Build a data source plugin]({{< relref "../../../../../tutorials/build-a-data-source-plugin.md" >}}) for metrics.
## Add logs support to your data source
To add logs support to an existing data source, you need to:
- Enable logs support
- Construct the log data
### Enable logs support
Tell Grafana that your data source plugin can return log data, by adding `"logs": true` to the [plugin.json]({{< relref "metadata.md" >}}) file.
```json
{
"logs": true
}
```
### Construct the log data
Just like for metrics data, Grafana expects your plugin to return log data as a [data frame]({{< relref "data-frames.md" >}}).
To return log data, return a data frame with at least one time field and one text field from the data source's `query` method.
**Example:**
```ts
const frame = new MutableDataFrame({
refId: query.refId,
fields: [
{ name: 'time', type: FieldType.time },
{ name: 'content', type: FieldType.string },
],
});
frame.add({ time: 1589189388597, content: 'user registered' });
frame.add({ time: 1589189406480, content: 'user logged in' });
```
That's all you need to start returning log data from your data source. Go ahead and try it out in [Explore]({{< relref "../../features/explore.md#explore" >}}) or by adding a [Logs panel]({{< relref "../../features/panels/logs.md#logs-panel" >}}).
Congratulations, you just wrote your first logs data source plugin! Next, let's look at a couple of features that can further improve the experience for the user.
## Add labels to your logs
To help filter log lines, many log systems let you query logs based on metadata, or _labels_.
You can add labels to a stream of logs by setting the [labels](../../packages_api/data/field.md#labels-property) property on the [Field]({{< relref "../../packages_api/data/field.md" >}}).
**Example**:
```ts
const frame = new MutableDataFrame({
refId: query.refId,
fields: [
{ name: 'time', type: FieldType.time },
{ name: 'content', type: FieldType.string, labels: { filename: 'file.txt' } },
],
});
frame.add({ time: 1589189388597, content: 'user registered' });
frame.add({ time: 1589189406480, content: 'user logged in' });
```
## Extract parsed fields from your logs
You can add additional information about each log line by adding more data frame fields.
If a data frame has more than one text field, then Grafana assumes the first field in the data frame to be the actual log line. Any subsequent text fields are treated as [parsed fields]({{< relref "../../features/explore.md#labels-and-parsed-fields" >}}).
While you can add any number of custom fields to your data frame, Grafana comes with a couple of dedicated fields: `levels` and `id`. Let's have a closer look at each one.
### Levels
To set the level for each log line, add a `level` field.
**Example:**
```ts
const frame = new MutableDataFrame({
refId: query.refId,
fields: [
{ name: 'time', type: FieldType.time },
{ name: 'content', type: FieldType.string, labels: { filename: 'file.txt' } },
{ name: 'level', type: FieldType.string },
],
});
frame.add({ time: 1589189388597, content: 'user registered', level: 'info' });
frame.add({ time: 1589189406480, content: 'unknown error', level: 'error' });
```
### Unique log lines
By default, Grafana offers basic support for deduplicating log lines. You can improve the support by adding an `id` field to explicitly assign identifiers to each log line.
**Example:**
```ts
const frame = new MutableDataFrame({
refId: query.refId,
fields: [
{ name: 'time', type: FieldType.time },
{ name: 'content', type: FieldType.string, labels: { filename: 'file.txt' } },
{ name: 'level', type: FieldType.string },
{ name: 'id', type: FieldType.string },
],
});
frame.add({ time: 1589189388597, content: 'user registered', level: 'info', id: 'd3b07384d113edec49eaa6238ad5ff00' });
frame.add({ time: 1589189406480, content: 'unknown error', level: 'error', id: 'c157a79031e1c40f85931829bc5fc552' });
```
...@@ -360,6 +360,8 @@ ...@@ -360,6 +360,8 @@
link: /developers/plugins/metadata/ link: /developers/plugins/metadata/
- name: Data frames - name: Data frames
link: /developers/plugins/data-frames/ link: /developers/plugins/data-frames/
- name: Build a logs data source
link: /developers/plugins/build-a-logs-data-source/
- name: Authentication - name: Authentication
link: /developers/plugins/authentication/ link: /developers/plugins/authentication/
- name: Backend plugins - name: Backend plugins
......
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