Warehouse native

Warehouse native metrics

Overview

This topic explains how to configure a warehouse native metric for use in warehouse native experiments. Warehouse native metrics are metrics that measure events stored in an external warehouse that you specify. Warehouse native metrics are available for use in only warehouse native experiments.

You cannot create a warehouse native experiment until you have created a warehouse native metric for the external warehouse you want to experiment on.

Warehouse native metric requirements

Warehouse native metrics must:

Warehouse native experiments cannot use:

Configure a warehouse native Experimentation integration

Before you create a warehouse native metric, you must configure a warehouse native Experimentation integration, such as Snowflake. Configuring a warehouse native Experimentation integration allows you to select a metric data source when you create a warehouse native metric.

Create warehouse native metrics

To create a warehouse native metric:

  1. Navigate to the Metrics list.
  2. Click Create metric. The “Create metric” dialog appears.
  3. If you use warehouse native experimentation, you will have the option to select either LaunchDarkly-hosted or Warehouse-native. Select Warehouse-native to measure events from an external warehouse, such as Snowflake.
  4. Select a LaunchDarkly environment for the Metric data source. The available environments include only those environments for which you have configured a warehouse native experimentation integration. If you do not see an environment available, check that you have configured your warehouse native experimentation integration correctly.
  5. Finish creating the metric by continuing the procedure as described in custom conversion binary, custom conversion count, or custom numeric.

You can now create a warehouse native experiment by selecting this metric.