Documentation

Telegraf template patterns

Template patterns describe how a dot-delimited string should be mapped to and from Telegraf metrics.

A template has the form:

"host.mytag.mytag.measurement.measurement.field*"

Where the following keywords can be set:

  • measurement: specifies that this section of the graphite bucket corresponds to the measurement name. This can be specified multiple times.
  • field: specifies that this section of the graphite bucket corresponds to the field name. This can be specified multiple times.
  • measurement*: specifies that all remaining elements of the graphite bucket correspond to the measurement name.
  • field*: specifies that all remaining elements of the graphite bucket correspond to the field name.

Any part of the template that is not a keyword is treated as a tag key. This can also be specified multiple times.

Note the following:

  • measurement must be specified in your template.
  • field* cannot be used in conjunction with measurement*.

Examples

Measurement and tag templates

A basic template specifies a single transformation to apply to all incoming metrics:

templates = [
    "region.region.measurement*"
]

This results in the following Graphite to Telegraf metric transformation.

us.west.cpu.load 100
=> cpu.load,region=us.west value=100

You can specify multiple templates and differentiate them using filters.

templates = [
    "*.*.* region.region.measurement", # All 3-part measurements will match this one.
    "*.*.*.* region.region.host.measurement", # All 4-part measurements will match this one.
]

Field templates

The field keyword tells Telegraf to give the metric that field name.

separator = "_"
templates = [
    "measurement.measurement.field.field.region"
]

This results in the following Graphite to Telegraf metric transformation.

cpu.usage.idle.percent.eu-east 100
=> cpu_usage,region=eu-east idle_percent=100

The field key can also be derived from all remaining elements of the graphite bucket by specifying field*:

separator = "_"
templates = [
    "measurement.measurement.region.field*"
]

This results in the following Graphite to Telegraf metric transformation.

cpu.usage.eu-east.idle.percentage 100
=> cpu_usage,region=eu-east idle_percentage=100

Filter templates

Use glob matching to filter templates to use based on the name of the bucket:

templates = [
    "cpu.* measurement.measurement.region",
    "mem.* measurement.measurement.host"
]

This results in the following transformation:

cpu.load.eu-east 100
=> cpu_load,region=eu-east value=100

mem.cached.localhost 256
=> mem_cached,host=localhost value=256

Add tags

To add additional tags to a metric, include them after the template pattern using the InfluxDB line protocol tag format (comma-separated key-value pairs).

templates = [
    "measurement.measurement.field.region datacenter=1a"
]

This results in the following Graphite to Telegraf metric transformation.

cpu.usage.idle.eu-east 100
=> cpu_usage,region=eu-east,datacenter=1a idle=100

Was this page helpful?

Thank you for your feedback!


Introducing InfluxDB Clustered

A highly available InfluxDB 3.0 cluster on your own infrastructure.

InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

InfluxDB Clustered is currently in limited availability and is only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.

Learn more
Contact InfluxData Sales

The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following:

State of the InfluxDB Cloud Serverless documentation

InfluxDB Cloud Serverless documentation is a work in progress.

The new documentation for InfluxDB Cloud Serverless is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

If there is specific information you’re looking for, please submit a documentation issue.