324 lines
18 KiB
Markdown
324 lines
18 KiB
Markdown
---
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stage: Analytics
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group: Product Intelligence
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/product/ux/technical-writing/#assignments
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---
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# Metrics Dictionary Guide
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[Service Ping](index.md) metrics are defined in individual YAML files definitions from which the
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[Metrics Dictionary](https://metrics.gitlab.com/) is built. Currently, the metrics dictionary is built automatically once a day. When a change to a metric is made in a YAML file, you can see the change in the dictionary within 24 hours.
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This guide describes the dictionary and how it's implemented.
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## Metrics Definition and validation
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We are using [JSON Schema](https://gitlab.com/gitlab-org/gitlab/-/blob/master/config/metrics/schema.json) to validate the metrics definition.
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This process is meant to ensure consistent and valid metrics defined for Service 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).
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- Have a unique `key_path` .
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- Have an owner.
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All metrics are stored in YAML files:
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- [`config/metrics`](https://gitlab.com/gitlab-org/gitlab/-/tree/master/config/metrics)
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WARNING:
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Only metrics with a metric definition YAML and whose status is not `removed` are added to the Service Ping JSON payload.
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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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|---------------------|----------|----------------------------------------------------------------|
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| `key_path` | yes | JSON key path for the metric, location in Service 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` | yes | 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. |
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| `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 `active`, `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`, `license`. |
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| `data_category` | yes | `string`; [categories](#data-category) of the metric, may be set to `operational`, `optional`, `subscription`, `standard`. The default value is `optional`.|
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| `instrumentation_class` | yes | `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. |
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| `performance_indicator_type` | no | `array`; may be set to one of [`gmau`, `smau`, `paid_gmau`, or `umau`](https://about.gitlab.com/handbook/business-technology/data-team/data-catalog/xmau-analysis/). |
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| `tier` | yes | `array`; may contain one or a combination of `free`, `premium` or `ultimate`. The [tier]( https://about.gitlab.com/handbook/marketing/strategic-marketing/tiers/) where the tracked feature is available. This should be verbose and contain all tiers where a metric is available. |
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| `milestone` | yes | The milestone when the metric is introduced and when it's available to self-managed instances with the official GitLab release. |
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| `milestone_removed` | no | The milestone when the metric is removed. |
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| `introduced_by_url` | no | The URL to the merge request that introduced the metric to be available for self-managed instances. |
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| `removed_by_url` | no | The URL to the merge request that removed 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. |
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| `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 `key_path`
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The `key_path` of the metric is the location in the JSON Service Ping payload.
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The `key_path` could be composed from multiple parts separated by `.` and it must be unique.
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We recommend to add the metric in one of the top-level keys:
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- `settings`: for settings related metrics.
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- `counts_weekly`: for counters that have data for the most recent 7 days.
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- `counts_monthly`: for counters that have data for the most recent 28 days.
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- `counts`: for counters that have data for all time.
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NOTE:
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We can't control what the metric's `key_path` is, because some of them are generated dynamically in `usage_data.rb`.
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For example, see [Redis HLL metrics](implement.md#redis-hll-counters).
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### Metric name
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To improve metric discoverability by a wider audience, each metric with
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instrumentation added at an appointed `key_path` receives a `name` attribute
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filled with the name suggestion, corresponding to the metric `data_source` and instrumentation.
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Metric name suggestions can contain two types of elements:
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1. **User input prompts**: enclosed by angle brackets (`< >`), these pieces should be replaced or
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removed when you create a metrics YAML file.
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1. **Fixed suggestion**: plaintext parts generated according to well-defined algorithms.
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They are based on underlying instrumentation, and must not be changed.
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For a metric name to be valid, it must not include any prompt, and fixed suggestions
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must not be changed.
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#### Generate a metric name suggestion
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The metric YAML generator can suggest a metric name for you.
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To generate a metric name suggestion, first instrument the metric at the provided `key_path`.
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Then, generate the metric's YAML definition and
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return to the instrumentation and update it.
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1. Add the metric instrumentation class to `lib/gitlab/usage/metrics/instrumentations/`.
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1. Add the metric logic in the instrumentation class.
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1. Run the [metrics YAML generator](metrics_dictionary.md#create-a-new-metric-definition).
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1. Use the metric name suggestion to select a suitable metric name.
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1. Update the metric's YAML definition with the correct `key_path`.
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### Metric statuses
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Metric definitions can have one of the following statuses:
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- `active`: Metric is used and reports data.
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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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- `removed`: Metric was removed, but it may appear in Service Ping payloads sent from instances running on older versions of GitLab.
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### Metric `value_type`
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Metric definitions can have one of the following values for `value_type`:
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- `boolean`
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- `number`
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- `string`
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- `object`: A metric with `value_type: object` must have `value_json_schema` with a link to the JSON schema for the object.
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In general, we avoid complex objects and prefer one of the `boolean`, `number`, or `string` value types.
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An example of a metric that uses `value_type: object` is `topology` (`/config/metrics/settings/20210323120839_topology.yml`),
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which has a related schema in `/config/metrics/objects_schemas/topology_schema.json`.
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### Metric `time_frame`
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A metric's time frame is calculated based on the `time_frame` field and the `data_source` of the metric.
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For `redis_hll` metrics, the type of aggregation is also taken into consideration. In this context, the term "aggregation" refers to [chosen events data storage interval](implement.md#add-new-events), and is **NOT** related to the Aggregated Metrics feature.
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For more information about the aggregation type of each feature, see the [`common.yml` file](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/gitlab/usage_data_counters/known_events/common.yml). Weeks run from Monday to Sunday.
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| data_source | time_frame | aggregation | Description |
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|------------------------|------------|----------------|-------------------------------------------------|
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| any | `none` | not applicable | A type of data that’s not tracked over time, such as settings and configuration information |
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| `database` | `all` | not applicable | The whole time the metric has been active (all-time interval) |
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| `database` | `7d` | not applicable | 9 days ago to 2 days ago |
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| `database` | `28d` | not applicable | 30 days ago to 2 days ago |
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| `redis` | `all` | not applicable | The whole time the metric has been active (all-time interval) |
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| `redis_hll` | `7d` | `daily` | Most recent 7 complete days |
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| `redis_hll` | `7d` | `weekly` | Most recent complete week |
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| `redis_hll` | `28d` | `daily` | Most recent 28 complete days |
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| `redis_hll` | `28d` | `weekly` | Most recent 4 complete weeks |
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### Data category
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We use the following categories to classify a metric:
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- `operational`: Required data for operational purposes.
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- `optional`: Default value for a metric. Data that is optional to collect. This can be [enabled or disabled](../../user/admin_area/settings/usage_statistics.md#enable-or-disable-usage-statistics) in the Admin Area.
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- `subscription`: Data related to licensing.
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- `standard`: Standard set of identifiers that are included when collecting data.
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An aggregate metric is a metric that is the sum of two or more child metrics. Service Ping uses the data category of
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the aggregate metric to determine whether or not the data is included in the reported Service Ping payload.
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### Metric name suggestion examples
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#### Metric with `data_source: database`
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For a metric instrumented with SQL:
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```sql
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SELECT COUNT(DISTINCT user_id) FROM clusters WHERE clusters.management_project_id IS NOT NULL
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```
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- **Suggested name**: `count_distinct_user_id_from_<adjective describing: '(clusters.management_project_id IS NOT NULL)'>_clusters`
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- **Prompt**: `<adjective describing: '(clusters.management_project_id IS NOT NULL)'>`
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should be replaced with an adjective that best represents filter conditions, such as `project_management`
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- **Final metric name**: For example, `count_distinct_user_id_from_project_management_clusters`
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For metric instrumented with SQL:
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```sql
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SELECT COUNT(DISTINCT clusters.user_id)
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FROM clusters_applications_helm
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INNER JOIN clusters ON clusters.id = clusters_applications_helm.cluster_id
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WHERE clusters_applications_helm.status IN (3, 5)
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```
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- **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`
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- **Prompt**: `<adjective describing: '(clusters_applications_helm.status IN (3, 5))'>`
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should be replaced with an adjective that best represents filter conditions
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- **Final metric name**: `count_distinct_user_id_from_clusters_with_available_clusters_applications_helm`
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In the previous example, the prompt is irrelevant, and user can remove it. The second
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occurrence corresponds with the `available` scope defined in `Clusters::Concerns::ApplicationStatus`.
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It can be used as the right adjective to replace prompt.
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The `<with>` represents a suggested conjunction for the suggested name of the joined relation.
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The person documenting the metric can use it by either:
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- Removing the surrounding `<>`.
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- Using a different conjunction, such as `having` or `including`.
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#### Metric with `data_source: redis` or `redis_hll`
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For metrics instrumented with a Redis-based counter, the suggested name includes
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only the single prompt to be replaced by the person working with metrics YAML.
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- **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>`
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- **Final metric name**: We suggest the metric name should follow the format of
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`{subject}_{verb}{ing|ed}_{object}`, such as `user_creating_epics`, `users_triggering_security_scans`,
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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,
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the suggested name includes only the single prompt by person working with metrics YAML.
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- **Prompt**: `<please fill metric name>`
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- **Final metric name**: Due to the variety of cases that can apply to this kind of metric,
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no naming convention exists. Each person instrumenting a metric should use their
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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)
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YAML file includes an example metric definition, where the `uuid` metric is the GitLab
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instance unique identifier.
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```yaml
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key_path: uuid
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description: GitLab instance unique identifier
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product_category: collection
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product_section: analytics
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product_stage: analytics
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product_group: product_intelligence
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value_type: string
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status: active
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milestone: 9.1
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instrumentation_class: UuidMetric
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introduced_by_url: https://gitlab.com/gitlab-org/gitlab/-/merge_requests/1521
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time_frame: none
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data_source: database
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distribution:
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- ce
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- ee
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tier:
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- free
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- premium
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- ultimate
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```
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### Create a new metric definition
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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.
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For uniqueness, the generated files include a timestamp prefix in ISO 8601 format.
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The generator takes a list of key paths and 3 options as arguments. It creates metric YAML definitions in the corresponding location:
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- `--ee`, `--no-ee` Indicates if metric is for EE.
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- `--dir=DIR` Indicates the metric directory. It must be one of: `counts_7d`, `7d`, `counts_28d`, `28d`, `counts_all`, `all`, `settings`, `license`.
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- `--class_name=CLASS_NAME` Indicates the instrumentation class. For example `UsersCreatingIssuesMetric`, `UuidMetric`
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**Single metric example**
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```shell
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bundle exec rails generate gitlab:usage_metric_definition counts.issues --dir=7d --class_name=CountIssues
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// Creates 1 file
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// create config/metrics/counts_7d/issues.yml
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```
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**Multiple metrics example**
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```shell
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bundle exec rails generate gitlab:usage_metric_definition counts.issues counts.users --dir=7d --class_name=CountUsersCreatingIssues
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// Creates 2 files
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// create config/metrics/counts_7d/issues.yml
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// create config/metrics/counts_7d/users.yml
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```
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NOTE:
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To create a metric definition used in EE, add the `--ee` flag.
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```shell
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bundle exec rails generate gitlab:usage_metric_definition counts.issues --ee --dir=7d --class_name=CountUsersCreatingIssues
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// Creates 1 file
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// create ee/config/metrics/counts_7d/issues.yml
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```
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### Metrics added dynamic to Service Ping payload
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The [Redis HLL metrics](implement.md#known-events-are-added-automatically-in-service-data-payload) are added automatically to Service 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.
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The generator takes `category` and `events` arguments, as the root key is `redis_hll_counters`, and creates two metric definitions for each of the events (for weekly and monthly time frames):
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**Single metric example**
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```shell
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bundle exec rails generate gitlab:usage_metric_definition:redis_hll issues count_users_closing_issues
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// Creates 2 files
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// create config/metrics/counts_7d/count_users_closing_issues_weekly.yml
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// create config/metrics/counts_28d/count_users_closing_issues_monthly.yml
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```
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**Multiple metrics example**
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```shell
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bundle exec rails generate gitlab:usage_metric_definition:redis_hll issues count_users_closing_issues count_users_reopening_issues
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// Creates 4 files
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// create config/metrics/counts_7d/count_users_closing_issues_weekly.yml
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// create config/metrics/counts_28d/count_users_closing_issues_monthly.yml
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// create config/metrics/counts_7d/count_users_reopening_issues_weekly.yml
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// create config/metrics/counts_28d/count_users_reopening_issues_monthly.yml
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```
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To create a metric definition used in EE, add the `--ee` flag.
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```shell
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bundle exec rails generate gitlab:usage_metric_definition:redis_hll issues users_closing_issues --ee
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// Creates 2 files
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// create config/metrics/counts_7d/i_closed_weekly.yml
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// create config/metrics/counts_28d/i_closed_monthly.yml
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```
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## Metrics Dictionary
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[Metrics Dictionary is a separate application](https://gitlab.com/gitlab-org/analytics-section/product-intelligence/metric-dictionary).
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All metrics available in Service Ping are in the [Metrics Dictionary](https://metrics.gitlab.com/).
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### Copy query to clipboard
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To check if a metric has data in Sisense, use the copy query to clipboard feature. This copies a query that's ready to use in Sisense. The query gets the last five service ping data for GitLab.com for a given metric. For information about how to check if a Service Ping metric has data in Sisense, see this [demo](https://www.youtube.com/watch?v=n4o65ivta48).
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