docs-v2/content/telegraf/v1/processor-plugins/date/_index.md

2.6 KiB

description menu tags introduced os_support related
Telegraf plugin for transforming metrics using Date
telegraf_v1_ref
parent name identifier
processor_plugins_reference Date processor-date
Date
processor-plugins
configuration
transformation
v1.12.0 freebsd, linux, macos, solaris, windows
/telegraf/v1/configure_plugins/
https://github.com/influxdata/telegraf/tree/v1.36.1/plugins/processors/date/README.md, Date Plugin Source

Date Processor Plugin

This plugin adds the metric timestamp as a human readable tag. A common use is to add a tag that can be used to group by month or year.

Introduced in: Telegraf v1.12.0 Tags: transformation OS support: all

Global configuration options

In addition to the plugin-specific configuration settings, plugins support additional global and plugin configuration settings. These settings are used to modify metrics, tags, and field or create aliases and configure ordering, etc. See the CONFIGURATION.md for more details.

Configuration

# Dates measurements, tags, and fields that pass through this filter.
[[processors.date]]
  ## New tag to create
  tag_key = "month"

  ## New field to create (cannot set both field_key and tag_key)
  # field_key = "month"

  ## Date format string, must be a representation of the Go "reference time"
  ## which is "Mon Jan 2 15:04:05 -0700 MST 2006".
  date_format = "Jan"

  ## If destination is a field, date format can also be one of
  ## "unix", "unix_ms", "unix_us", or "unix_ns", which will insert an integer field.
  # date_format = "unix"

  ## Offset duration added to the date string when writing the new tag.
  # date_offset = "0s"

  ## Timezone to use when creating the tag or field using a reference time
  ## string.  This can be set to one of "UTC", "Local", or to a location name
  ## in the IANA Time Zone database.
  ##   example: timezone = "America/Los_Angeles"
  # timezone = "UTC"

timezone

On Windows, only the Local and UTC zones are available by default. To use other timezones, set the ZONEINFO environment variable to the location of zoneinfo.zip:

set ZONEINFO=C:\zoneinfo.zip

Example

- throughput lower=10i,upper=1000i,mean=500i 1560540094000000000
+ throughput,month=Jun lower=10i,upper=1000i,mean=500i 1560540094000000000