debian-mirror-gitlab/doc/development/usage_ping/metrics_dictionary.md

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---
stage: Growth
group: Product Intelligence
info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
---
# Metrics Dictionary Guide
This guide describes Metrics Dictionary and how it's implemented
## Metrics Definition and validation
We are using [JSON Schema](https://gitlab.com/gitlab-org/gitlab/-/blob/master/config/metrics/schema.json) to validate the metrics definition.
This process is meant to ensure consistent and valid metrics defined for Usage Ping. All metrics *must*:
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- Comply with the defined [JSON schema](https://gitlab.com/gitlab-org/gitlab/-/blob/master/config/metrics/schema.json).
- Have a unique `key_path` .
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- Have an owner.
All metrics are stored in YAML files:
- [`config/metrics`](https://gitlab.com/gitlab-org/gitlab/-/tree/master/config/metrics)
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Each metric is defined in a separate YAML file consisting of a number of fields:
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| Field | Required | Additional information |
|---------------------|----------|----------------------------------------------------------------|
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| `key_path` | yes | JSON key path for the metric, location in Usage Ping payload. |
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| `name` | no | Metric name suggestion. Can replace the last part of `key_path`. |
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| `description` | yes | |
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| `product_section` | yes | The [section](https://gitlab.com/gitlab-com/www-gitlab-com/-/blob/master/data/sections.yml). |
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| `product_stage` | no | The [stage](https://gitlab.com/gitlab-com/www-gitlab-com/blob/master/data/stages.yml) for the metric. |
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| `product_group` | yes | The [group](https://gitlab.com/gitlab-com/www-gitlab-com/blob/master/data/stages.yml) that owns the metric. |
| `product_category` | no | The [product category](https://gitlab.com/gitlab-com/www-gitlab-com/blob/master/data/categories.yml) for the metric. |
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| `value_type` | yes | `string`; one of [`string`, `number`, `boolean`, `object`](https://json-schema.org/understanding-json-schema/reference/type.html). |
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| `status` | yes | `string`; [status](#metric-statuses) of the metric, may be set to `data_available`, `implemented`, `not_used`, `deprecated`, `removed`, `broken`. |
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| `time_frame` | yes | `string`; may be set to a value like `7d`, `28d`, `all`, `none`. |
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| `data_source` | yes | `string`; may be set to a value like `database`, `redis`, `redis_hll`, `prometheus`, `system`. |
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| `data_category` | yes | `string`; [categories](#data-category) of the metric, may be set to `Operational`, `Optional`, `Subscription`, `Standard`. |
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| `instrumentation_class` | no | `string`; [the class that implements the metric](metrics_instrumentation.md). |
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| `distribution` | yes | `array`; may be set to one of `ce, ee` or `ee`. The [distribution](https://about.gitlab.com/handbook/marketing/strategic-marketing/tiers/#definitions) where the tracked feature is available. |
| `tier` | yes | `array`; may be set to one of `free, premium, ultimate`, `premium, ultimate` or `ultimate`. The [tier]( https://about.gitlab.com/handbook/marketing/strategic-marketing/tiers/) where the tracked feature is available. |
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| `milestone` | no | The milestone when the metric is introduced. |
| `milestone_removed` | no | The milestone when the metric is removed. |
| `introduced_by_url` | no | The URL to the Merge Request that introduced the metric. |
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| `repair_issue_url` | no | The URL of the issue that was created to repair a metric with a `broken` status. |
| `options` | no | `object`: options information needed to calculate the metric value. |
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| `skip_validation` | no | This should **not** be set. [Used for imported metrics until we review, update and make them valid](https://gitlab.com/groups/gitlab-org/-/epics/5425). |
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### Metric statuses
Metric definitions can have one of the following statuses:
- `data_available`: Metric data is available and used in a Sisense dashboard.
- `implemented`: Metric is implemented but data is not yet available. This is a temporary
status for newly added metrics awaiting inclusion in a new release.
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- `broken`: Metric reports broken data (for example, -1 fallback), or does not report data at all. A metric marked as `broken` must also have the `repair_issue_url` attribute.
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- `not_used`: Metric is not used in any dashboard.
- `deprecated`: Metric is deprecated and possibly planned to be removed.
- `removed`: Metric was removed, but it may appear in Usage Ping payloads sent from instances running on older versions of GitLab.
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### Metric value_type
Metric definitions can have one of the following values for `value_type`:
- `boolean`
- `number`
- `string`
- `object`: A metric with `value_type: object` must have `value_json_schema` with a link to the JSON schema for the object.
In general, we avoid complex objects and prefer one of the `boolean`, `number`, or `string` value types.
An example of a metric that uses `value_type: object` is `topology` (`/config/metrics/settings/20210323120839_topology.yml`),
which has a related schema in `/config/metrics/objects_schemas/topology_schema.json`.
### Metric time_frame
- `7d`: The metric data applies to the most recent 7-day interval. For example, the following metric counts the number of users that create epics over a 7-day interval: `ee/config/metrics/counts_7d/20210305145820_g_product_planning_epic_created_weekly.yml`.
- `28d`: The metric data applies to the most recent 28-day interval. For example, the following metric counts the number of unique users that create issues over a 28-day interval: `config/metrics/counts_28d/20210216181139_issues.yml`.
- `all`: The metric data applies for the whole time the metric has been active (all-time interval). For example, the following metric counts all users that create issues: `/config/metrics/counts_all/20210216181115_issues.yml`.
- `none`: The metric collects a type of data that's not tracked over time, such as settings and configuration information. Therefore, a time interval is not applicable. For example, `uuid` has no time interval applicable: `config/metrics/license/20210201124933_uuid.yml`.
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### Metric name
To improve metric discoverability by a wider audience, each metric with
instrumentation added at an appointed `key_path` receives a `name` attribute
filled with the name suggestion, corresponding to the metric `data_source` and instrumentation.
Metric name suggestions can contain two types of elements:
1. **User input prompts**: Enclosed by `<>`, these pieces should be replaced or
removed when you create a metrics YAML file.
1. **Fixed suggestion**: Plaintext parts generated according to well-defined algorithms.
They are based on underlying instrumentation, and should not be changed.
For a metric name to be valid, it must not include any prompt, and no fixed suggestions
should be changed.
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### Data category
We use the following categories to classify a metric:
- `Operational`: Required data for operational purposes.
- `Optional`: Data that is optional to collect. This can be [enabled or disabled](../usage_ping/index.md#disable-usage-ping) in the Admin Area.
- `Subscription`: Data related to licensing.
- `Standard`: Standard set of identifiers that are included when collecting data.
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### Metric name suggestion examples
#### Metric with `data_source: database`
For a metric instrumented with SQL:
```sql
SELECT COUNT(DISTINCT user_id) FROM clusters WHERE clusters.management_project_id IS NOT NULL
```
- **Suggested name**: `count_distinct_user_id_from_<adjective describing: '(clusters.management_project_id IS NOT NULL)'>_clusters`
- **Prompt**: `<adjective describing: '(clusters.management_project_id IS NOT NULL)'>`
should be replaced with an adjective that best represents filter conditions, such as `project_management`
- **Final metric name**: For example, `count_distinct_user_id_from_project_management_clusters`
For metric instrumented with SQL:
```sql
SELECT COUNT(DISTINCT clusters.user_id)
FROM clusters_applications_helm
INNER JOIN clusters ON clusters.id = clusters_applications_helm.cluster_id
WHERE clusters_applications_helm.status IN (3, 5)
```
- **Suggested name**: `count_distinct_user_id_from_<adjective describing: '(clusters_applications_helm.status IN (3, 5))'>_clusters_<with>_<adjective describing: '(clusters_applications_helm.status IN (3, 5))'>_clusters_applications_helm`
- **Prompt**: `<adjective describing: '(clusters_applications_helm.status IN (3, 5))'>`
should be replaced with an adjective that best represents filter conditions
- **Final metric name**: `count_distinct_user_id_from_clusters_with_available_clusters_applications_helm`
In the previous example, the prompt is irrelevant, and user can remove it. The second
occurrence corresponds with the `available` scope defined in `Clusters::Concerns::ApplicationStatus`.
It can be used as the right adjective to replace prompt.
The `<with>` represents a suggested conjunction for the suggested name of the joined relation.
The person documenting the metric can use it by either:
- Removing the surrounding `<>`.
- Using a different conjunction, such as `having` or `including`.
#### Metric with `data_source: redis` or `redis_hll`
For metrics instrumented with a Redis-based counter, the suggested name includes
only the single prompt to be replaced by the person working with metrics YAML.
- **Prompt**: `<please fill metric name, suggested format is: {subject}_{verb}{ing|ed}_{object} eg: users_creating_epics or merge_requests_viewed_in_single_file_mode>`
- **Final metric name**: We suggest the metric name should follow the format of
`{subject}_{verb}{ing|ed}_{object}`, such as `user_creating_epics`, `users_triggering_security_scans`,
or `merge_requests_viewed_in_single_file_mode`
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#### Metric with `data_source: prometheus` or `system`
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For metrics instrumented with Prometheus or coming from the operating system,
the suggested name includes only the single prompt by person working with metrics YAML.
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- **Prompt**: `<please fill metric name>`
- **Final metric name**: Due to the variety of cases that can apply to this kind of metric,
no naming convention exists. Each person instrumenting a metric should use their
best judgment to come up with a descriptive name.
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### Example YAML metric definition
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The linked [`uuid`](https://gitlab.com/gitlab-org/gitlab/-/blob/master/config/metrics/license/uuid.yml)
YAML file includes an example metric definition, where the `uuid` metric is the GitLab
instance unique identifier.
```yaml
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key_path: uuid
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description: GitLab instance unique identifier
product_category: collection
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product_section: growth
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product_stage: growth
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product_group: group::product intelligence
value_type: string
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status: data_available
milestone: 9.1
introduced_by_url: https://gitlab.com/gitlab-org/gitlab/-/merge_requests/1521
time_frame: none
data_source: database
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distribution:
- ce
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- ee
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tier:
- free
- premium
- ultimate
```
## Create a new metric definition
The GitLab codebase provides a dedicated [generator](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/generators/gitlab/usage_metric_definition_generator.rb) to create new metric definitions.
For uniqueness, the generated file includes a timestamp prefix, in ISO 8601 format.
The generator takes the key path argument and 2 options and creates the metric YAML definition in corresponding location:
- `--ee`, `--no-ee` Indicates if metric is for EE.
- `--dir=DIR` indicates the metric directory. It must be one of: `counts_7d`, `7d`, `counts_28d`, `28d`, `counts_all`, `all`, `settings`, `license`.
```shell
bundle exec rails generate gitlab:usage_metric_definition counts.issues --dir=7d
create config/metrics/counts_7d/issues.yml
```
NOTE:
To create a metric definition used in EE, add the `--ee` flag.
```shell
bundle exec rails generate gitlab:usage_metric_definition counts.issues --ee --dir=7d
create ee/config/metrics/counts_7d/issues.yml
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```
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## Metrics added dynamic to Usage Ping payload
The [Redis HLL metrics](index.md#known-events-are-added-automatically-in-usage-data-payload) are added automatically to Usage Ping payload.
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A YAML metric definition is required for each metric. A dedicated generator is provided to create metric definitions for Redis HLL events.
The generator takes `category` and `event` arguments, as the root key will be `redis_hll_counters`, and creates two metric definitions for weekly and monthly timeframes:
```shell
bundle exec rails generate gitlab:usage_metric_definition:redis_hll issues i_closed
create config/metrics/counts_7d/i_closed_weekly.yml
create config/metrics/counts_28d/i_closed_monthly.yml
```
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To create a metric definition used in EE, add the `--ee` flag.
```shell
bundle exec rails generate gitlab:usage_metric_definition:redis_hll issues users_closing_issues --ee
create config/metrics/counts_7d/i_closed_weekly.yml
create config/metrics/counts_28d/i_closed_monthly.yml
```