Skip to main content

Elasticsearch query Prometheus exporter

Project description

Prometheus Elasticsearch Exporter
====
This Prometheus exporter periodically runs configured queries against an Elasticsearch cluster and exports the results as Prometheus gauge metrics.

Values are parsed out of the Elasticsearch results automatically, with the path through the JSON to the value being used to construct metric names.

Metrics are only extracted from aggregation results, with the exception of the query doc count. The keys of any buckets are converted to labels, rather than being inserted into the metric name. See `tests/test_parser.py` for all the supported queries/metrics.

# Installation
You will need Python 3 and pip 3 installed to run the exporter.

Run the following in the root project directory to install (i.e. download dependencies, create start script):
```
> pip3 install .
```
Note that you may need to add the start script location (see pip output) to your `PATH`.

# Usage
Once installed, you can run the exporter with the `prometheus-es-exporter` command.

By default, it will bind to port 8080, query Elasticsearch on `localhost:9200` and run queries configured in a file `exporter.cfg` in the working directory. You can change these defaults as required by passing in options:
```
> prometheus-es-exporter -p <port> -e <elasticsearch nodes> -c <path to query config file>
```
Run with the `-h` flag to see details on all the available options.

See the provided `exporter.cfg` file for query configuration examples and explanation.

# Docker
You can build a docker image using the provided Dockerfile. Run the following in the root project directory:
```
> sudo docker build -t prometheus-es-exporter .
```
To run a container successfully, you will need to mount a query config file to `/usr/src/app/exporter.cfg` and map container port 8080 to a port on the host. Any options placed after the image name (`prometheus-es-exporter`) will be passed to the process inside the container. You will also need to use this to configure the elasticsearch node(s) using `-e`.
```
> sudo docker run --rm --name exporter \
-v <path to query config file>:/usr/src/app/exporter.cfg \
-p 8080:8080 \
prometheus-es-exporter -e <elasticsearch nodes>
```
You can change other options in the same way as `-e`. For example, you could change where the query config file is read from using `-c`.

If you don't want to mount the query config file in at run time, you could modify the Dockerfile to copy it in when building the image.

# Development
The exporter can be installed in "editable" mode, using pip's `-e` flag. This allows you to test out changes without having to re-install.
```
> pip3 install -e .
```
To run tests (as usual, from the root project directory), use:
```
> python3 -m tests.test_parser
```
Note that these tests currently only cover the response parsing functionality - there are no automated system tests as of yet.

Send me a PR if you have a change you want to contribute!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prometheus-es-exporter-0.1.0.tar.gz (5.1 kB view details)

Uploaded Source

File details

Details for the file prometheus-es-exporter-0.1.0.tar.gz.

File metadata

File hashes

Hashes for prometheus-es-exporter-0.1.0.tar.gz
Algorithm Hash digest
SHA256 a0f1b139f4218f79f672dd20e6c6947ed7ca5f532605388c7ec044267bb12800
MD5 59985a456d52843acf655c3d022f7c82
BLAKE2b-256 92470546df7684a7246a183d9a55917e3e00ca40b2f0ac678886acbb5095e39f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page