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out_influxdb: documentation for tag prefix stripping #1468

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out_influxdb: documentation for tag prefix stripping #1468

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cd45857
out_influxdb: add documentation and example use of strip_prefix
Oct 1, 2024
4bff80f
Add comment about bucket versus measurement naming
Oct 1, 2024
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37 changes: 37 additions & 0 deletions pipeline/outputs/influxdb.md
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Expand Up @@ -12,6 +12,7 @@ The **influxdb** output plugin, allows to flush your records into a [InfluxDB](h
| Bucket | InfluxDB bucket name where records will be inserted - if specified, `database` is ignored and v2 of API is used | |
| Org | InfluxDB organization name where the bucket is \(v2 only\) | fluent |
| Sequence\_Tag | The name of the tag whose value is incremented for the consecutive simultaneous events. | \_seq |
| Strip\_Prefix | String to be stripped from the front of _tag_ when writing influxdb measurement names | |
| HTTP\_User | Optional username for HTTP Basic Authentication | |
| HTTP\_Passwd | Password for user defined in HTTP\_User | |
| HTTP\_Token | Authentication token used with InfluDB v2 - if specified, both HTTP\_User and HTTP\_Passwd are ignored | |
Expand Down Expand Up @@ -109,6 +110,42 @@ Basic example of `Tags_List_Key` usage:
Tag_Keys level status
```

### Prefix stripping

When collecting data from many inputs into many buckets, it can be helpful to remove a common prefix using _Strip_prefix_.

```python
[INPUT]
Name cpu
Tag cpu.one

[INPUT]
Name cpu
Tag cpu.two

[INPUT]
Name cpu
Tag gpu.one

[INPUT]
Name cpu
Tag gpu.two

[OUTPUT]
Name influxdb
Match cpu*
Bucket cpubucket
Strip_prefix cpu.

[OUTPUT]
Name influxdb
Match gpu*
Bucket gpubucket
Strip_prefix gpu.
```

This will result in the buckets _cpubucket_, _gpubucket_ each containing two measurement streams named _one_, _two_. Without prefix stripping, the measurement names would be _cpu.one_, _cpu.two_ (stored in _cpubucket_) and _gpu.one_, _gpu.two_ (stored in _gpubucket_).

### Testing

Before to start Fluent Bit, make sure the target database exists on InfluxDB, using the above example, we will insert the data into a _fluentbit_ database.
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