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Graphite Exporter
An exporter for metrics exported in the Graphite plaintext protocol. It accepts data over both TCP and UDP, and transforms and exposes them for consumption by Prometheus.
This exporter is useful for exporting metrics from existing Graphite setups, as well as for metrics which are not covered by the core Prometheus exporters such as the Node Exporter.
Usage
make
./graphite_exporter
Configure existing monitoring to send Graphite plaintext data to port 9109 on UDP or TCP. As a simple demonstration:
echo "test_tcp 1234 $(date +%s)" | nc localhost 9109
echo "test_udp 1234 $(date +%s)" | nc -u -w1 localhost 9109
Metrics will be available on http://localhost:9108/metrics.
To avoid using unbounded memory, metrics will be garbage collected five minutes after
they are last pushed to. This is configurable with the --graphite.sample-expiry
flag.
Graphite Tags
The graphite_exporter accepts metrics in the tagged carbon format. In the case where there are valid and invalid tags supplied in one metric, the invalid tags will be dropped and the graphite_tag_parse_failures
counter will be incremented. The exporter accepts inconsistent label sets, but this may cause issues querying the data in Prometheus.
By default, labels explicitly specified in configuration take precedence over labels from the metric. To set the label from the metric instead, use honor_labels
.
Metric Mapping and Configuration
Please note there has been a breaking change in configuration after version 0.2.0. The YAML style config from statsd_exporter is now used. See conversion instructions below
YAML Config
The graphite_exporter can be configured to translate specific dot-separated graphite metrics into labeled Prometheus metrics via YAML configuration file. This file shares syntax and logic with statsd_exporter. Please follow the statsd_exporter documentation for usage information. However, graphite_exporter does not support all parsing features at this time. Any feature based on the 'timer_type' option will not function. Otherwise, regex matching, groups, match/drop behavior, should work as expected.
Metrics that don't match any mapping in the configuration file are translated
into Prometheus metrics without any labels and with names in which every
non-alphanumeric character except _
and :
is replaced with _
.
If you have a very large set of metrics you may want to skip the ones that don't
match the mapping configuration. If that is the case you can force this behaviour
using the --graphite.mapping-strict-match
flag, and it will only store those metrics
you really want.
An example mapping configuration:
mappings:
- match: test.dispatcher.*.*.*
name: dispatcher_events_total
labels:
action: $2
job: test_dispatcher
outcome: $3
processor: $1
- match: '*.signup.*.*'
name: signup_events_total
labels:
job: ${1}_server
outcome: $3
provider: $2
- match: 'servers\.(.*)\.networking\.subnetworks\.transmissions\.([a-z0-9-]+)\.(.*)'
match_type: regex
name: 'servers_networking_transmissions_${3}'
labels:
hostname: ${1}
device: ${2}
This would transform these example graphite metrics into Prometheus metrics as follows:
test.dispatcher.FooProcessor.send.success
=> dispatcher_events_total{processor="FooProcessor", action="send", outcome="success", job="test_dispatcher"}
foo_product.signup.facebook.failure
=> signup_events_total{provider="facebook", outcome="failure", job="foo_product_server"}
test.web-server.foo.bar
=> test_web__server_foo_bar{}
servers.rack-003-server-c4de.networking.subnetworks.transmissions.eth0.failure.mean_rate
=> servers_networking_transmissions_failure_mean_rate{device="eth0",hostname="rack-003-server-c4de"}
Conversion from legacy configuration
If you have an existing config file using the legacy mapping syntax, you may use statsd-exporter-convert to update to the new YAML based syntax. Here we convert the old example synatx:
$ go get -u github.com/bakins/statsd-exporter-convert
$ cat example.conf
test.dispatcher.*.*.*
name="dispatcher_events_total"
processor="$1"
action="$2"
outcome="$3"
job="test_dispatcher"
*.signup.*.*
name="signup_events_total"
provider="$2"
outcome="$3"
job="${1}_server"
$ statsd-exporter-convert example.conf
mappings:
- match: test.dispatcher.*.*.*
name: dispatcher_events_total
labels:
action: $2
job: test_dispatcher
outcome: $3
processor: $1
- match: '*.signup.*.*'
name: signup_events_total
labels:
job: ${1}_server
outcome: $3
provider: $2
Using Docker
You can deploy this exporter using the prom/graphite-exporter Docker image.
For example:
docker pull prom/graphite-exporter
docker run -d -p 9108:9108 -p 9109:9109 -p 9109:9109/udp \
-v ${PWD}/graphite_mapping.conf:/tmp/graphite_mapping.conf \
prom/graphite-exporter --graphite.mapping-config=/tmp/graphite_mapping.conf
Experimental: Importing Whisper data
Import data from Graphite using the bundled getool
.
See getool create-blocks --help
for usage.
To import long-term data in a reasonable amount of resources, increase the duration per generated TSDB block.
The --block-duration
must be a power of two in hours, e.g. 4h
, 8h
, and so on.
To merge the data into an existing Prometheus storage directory, start Prometheus with the --storage.tsdb.allow-overlapping-blocks
flag.
Incompatibility with Graphite bridge
This exporter does not work in combination with the Java client or Python client Graphite bridge. In the transition to the Graphite data model and back, information is lost. Additionally, default metrics conflict between the client libraries and the exporter.
Instead, configure Prometheus to scrape your application directly, without the exporter in the middle. For batch or ephemeral jobs, use the pushgateway integration. If you absolutely must push, consider PushProx or the Grafana agent instead.
TLS and basic authentication
Graphite Exporter supports TLS and basic authentication. This enables better control of the various HTTP endpoints.
To use TLS and/or basic authentication, you need to pass a configuration file using the --web.config.file
parameter. The format of the file is described
in the exporter-toolkit repository.