Overview of log-to-metrics conversion
Metrics are often buried in unstructured or semi-structured log data. The Splunk platform can automatically convert log data to metrics data points and then insert that data into a metrics index that you specify. It can perform this conversion when your log data is ingested into your Splunk platform deployment, or when you run a search on the log data with the
This functionality follows older features for the Splunk platform that enable the extraction of fields from events at ingest time and search time. When you set up a log-to-metrics conversion, you look at the field-value pairs that are pulled out of your unstructured events and identify the numeric fields that are captured as measurement fields. The Splunk platform generates a separate, unique metric data point for each measurement field in an event.
You can optionally identify extracted fields for the Splunk platform to blacklist so they do not appear in the metric data points.
Extracted fields in your events that you have not identified as measurements or blacklisted fields are added by the Splunk platform to metric data points as dimensions. All metric data points generated from the same event share the same dimension field-value pairs.
Here are two log events that contain metrics data:
|08-05-2017 20:26:29.073 -0700||INFO Metrics - group=queue, name=aeq, max_size_kb=500, current_size_kb=300, current_size=53, largest_size=65, smallest_size=5|
|08-05-2017 20:26:29.075 -0700||INFO Metrics - group=queue, name=indexqueue, max_size_kb=500, current_size_kb=200, current_size=55, largest_size=85, smallest_size=0|
The Splunk platform runs a process that extracts the field-value pairs from the events and displays the following table.
|08-05-2017 20:26:29.073 -0700||queue||aeq||500||300||53||65||5|
|08-05-2017 20:26:29.075 -0700||queue||indexqueue||500||200||55||85||0|
If you identify the measurement fields in these events as
smallest_size, the Splunk platform generates a unique metric data point for each extraction of those fields. The following table has 10 metric data points, one for each measurement field-value pair in the two original log events.
|08-05-2017 20:26:29.073 -0700||max_size_kb||500||queue||aeq|
|08-05-2017 20:26:29.073 -0700||current_size_kb||300||queue||aeq|
|08-05-2017 20:26:29.073 -0700||current_size||53||queue||aeq|
|08-05-2017 20:26:29.073 -0700||largest_size||65||queue||aeq|
|08-05-2017 20:26:29.073 -0700||smallest_size||5||queue||aeq|
|08-05-2017 20:26:29.075 -0700||max_size_kb||500||queue||indexqueue|
|08-05-2017 20:26:29.075 -0700||current_size_kb||200||queue||indexqueue|
|08-05-2017 20:26:29.075 -0700||current_size||55||queue||indexqueue|
|08-05-2017 20:26:29.075 -0700||largest_size||85||queue||indexqueue|
|08-05-2017 20:26:29.075 -0700||smallest_size||0||queue||indexqueue|
Anatomy of a log-to-metrics metric data point
Each metric data point contains a
_time field, a
metric_name field, and a
_value field. Metric data points can have one or more dimension fields. Learn more about metric data points in Overview of metrics.
The following table explains how the log-to-metrics process derives the values of each metric data point field:
|Metric field||Example value||Origin of value|
|| Uses the |
|| Uses the name of the measurement field that provides the |
|| Uses the value of the measurement field that the metric data point is based on. In this case, the metric data point is based on |
|| Any fields in a log event besides |
Set up basic ingest-time log-to-metric conversions through Splunk Web
Use Splunk Web to set up ingest-time conversion of logs to metric data points when all of the events in the log being ingested share the same fields.
There are two stages to the Splunk Web process for setting up log-to-metrics conversion:
- Create a new source type of the Log to Metrics category on the Source Types listing page in Settings.
- Associate that Log to Metrics source type with an appropriate log data input when you create or edit the input.
For more information, see Set up ingest-time log-to-metrics conversion in Splunk Web.
Create sophisticated ingest-time log-to-metric conversions with props.conf and transforms.conf
Manually create configurations in
props.conf for ingest-time conversion of logs to metric data points when the events in the log being ingested have different sets of measurement fields. For example, you can design configurations that sort events by the values of a shared field and then apply specific log-to-metric conversion rules to each of those event groups.
For more information, see Set up ingest-time log-to-metrics conversion with configuration files.
Get metrics in from other sources
Set up ingest-time log-to-metrics conversion in Splunk Web
This documentation applies to the following versions of Splunk® Enterprise: 7.2.0, 7.2.1, 7.2.2, 7.2.3, 7.2.4, 7.2.5, 7.2.6