--- title: "Cardinality analysis | Grafana Enterprise Metrics documentation" description: "Overview Grafana Enterprise Metrics provides the ability to understand the cardinality of your metrics and labels using Cardinality analysis dashboards that are shipped with the Grafana Enterprise Metrics plugin or via an API." --- > For a curated documentation index, see [llms.txt](/llms.txt). For the complete documentation index, see [llms-full.txt](/llms-full.txt). Important: This documentation is about an older version. It's relevant only to the release noted, many of the features and functions have been updated or replaced. [Please view the current version](/docs/enterprise-metrics/latest/). [Documentation](/docs/)![breadcrumb arrow](/static/assets/img/icons/grafana-icon-breadcrumb-arrow-gray.svg) [Grafana Enterprise Metrics Documentation](/docs/enterprise-metrics/v1.7.x/)![breadcrumb arrow](/static/assets/img/icons/grafana-icon-breadcrumb-arrow-gray.svg) [Manage a tenant](/docs/enterprise-metrics/v1.7.x/tenant-management/)![breadcrumb arrow](/static/assets/img/icons/grafana-icon-breadcrumb-arrow-gray.svg) Cardinality analysis Enterprise ## Overview Grafana Enterprise Metrics provides the ability to understand the cardinality of your metrics and labels using [Cardinality analysis dashboards](#dashboards) that are shipped with the Grafana Enterprise Metrics plugin or via an [API](#http-api). The APIs and dashboards help you understand the active time series in GEM. An active time series is one that has not yet been written to long-term storage. ## Configuration The API endpoints are disabled by default. Use one of the following approaches to enable or disable the endpoints for all tenants: - Add the CLI flag `-querier.cardinality-analysis-enabled=true`. - Set `cardinality_analysis_enabled` to `true` in the limits\_config section of the [global configuration file](https://cortexmetrics.io/docs/configuration/configuration-file/#limits_config) as shown below: YAML ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```yaml limits: cardinality_analysis_enabled: true ``` To selectively disable the endpoints for some tenants (if it’s been enabled for all tenants), or enable the endpoints for some tenants (when it is globally disabled), use the [Runtime Configuration file](https://cortexmetrics.io/docs/configuration/arguments/#runtime-configuration-file). ## Limitations - The cardinality analysis dashboards only work for single-tenant data sources. Similarly, the cardinality analysis APIs will only return cardinality information for a single tenant at a time. You cannot get a global view of the cardinality of multiple tenants simultaneously. This means that any call to the API where you provide multiple tenants in the `username` field will fail. For example, `team-a|team-b` will fail, but `team-a` or `team-b` will succeed. - The cardinality analysis dashboards do not work for data sources that use label-based access controls. Similarly, calls to the cardinality analysis APIs that use a token for an access policy with label selectors also fail. - The cardinality analysis APIs and dashboards will only work if you are running GEM using block storage. They are incompatible with chunks storage. ## Operational considerations We do not expect this new and experimental API to negatively affect the performance of ingesters in a GEM cluster. To be sure, monitor the cluster after enabling this feature. To monitor the performance of the cardinality endpoints, use the exposed GEM API endpoints metrics. The following example query returns the queries-per-second to the cardinality analysis endpoints: ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```none sum by (route) ( rate(cortex_querier_request_duration_seconds_sum{ route=~"prometheus_api_v1_cardinality_label_values|prometheus_api_v1_cardinality_label_names" }[1m]) ) ``` To monitor the performance of the whole cluster after enabling cardinality analysis, use the self-monitoring dashboards that are included in the GEM plugin. ## Dashboards The GEM plugin provides several useful dashboards that visualize and let you explore the data from this API. ### Adding the cardinality analysis dashboards to Grafana Enterprise The cardinality analysis dashboards are automatically installed if you install the Grafana Enterprise Metrics plugin. However, in the event that you do not see the dashboards or someone accidentally deletes them, add them back: 1. Go to `Configuration > Plugins > Grafana Enterprise Metrics > Dashboards` 2. Install the dashboards : `Cardinality analysis`, `Cardinality analysis - Metrics drill down` and `Cardinality analysis - Label drill down`. ### Cardinality analysis dashboard This dashboard shows the cardinality for the selected data source. ### Cardinality analysis - Metrics drill down This dashboard helps you understand the cardinality of an individual metric. At the top of the dashboard, you can select which metric you want to explore. ### Cardinality analysis - Label drill down This dashboard shows a cardinality report for the selected label. For a given label name, it shows you which label values are attached to the most series. It also shows you the highest cardinality metrics for a given label<>value pair. ## HTTP API You can use two API endpoints to understand a tenant’s metrics and label cardinality: `label_names` (`/api/v1/cardinality/label_names`) and `label_values` (`/api/v1/cardinality/label_values`). The cardinality analysis dashboards display information returned from these endpoints. Because these endpoints generate their cardinality report using only values from currently opened TSDBs (time series databases) in the ingesters, two subsequent calls can return completely different results if an ingester cut or truncated an old block and opened a new one between calls. Both API endpoints require authentication. Specifically, the user must provide a token which gives them `metrics: read` access for that tenant. ### Label names cardinality endpoint ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```none GET,POST /api/v1/cardinality/label_names # Legacy GET,POST /api/v1/cardinality/label_names ``` Returns realtime label names cardinality across all ingesters, for the authenticated tenant, in `JSON` format. It counts distinct label values per label name. The items in the field `cardinality` are sorted by `label_values_count` in descending order and by `label_name` in ascending order. The count of items returned is limited by `limit` request parameter. #### Request parameters - **selector** - *optional* - specifies PromQL selector that will be used to filter series that must be analyzed. - **limit** - *optional* - specifies max count of items in field `cardinality` in response (default=20, min=0, max=500) #### Example: To understand which labels attached to the metric `flower_events_created` have the most values, use the following command: console ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```console $ curl -u ":$API_TOKEN" "/prometheus/api/v1/cardinality/label_names?limit=2&selector=\{__name__='flower_events_created'\}" | jq ``` JSON ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```json { "label_values_count_total": 206, "label_names_count": 12, "cardinality": [ { "label_name": "worker", "label_values_count": 162 }, { "label_name": "task", "label_values_count": 29 } ] } ``` From this we see that the metric `flower_events_created` has 12 different label names attached to it. Across those 12 label names, there are 206 total values. The label “worker” has 162 values, and the label “task” has 29 values. Not shown are the other label names, since the sample command set `limit=2`. If the `flower_events_created` selector were omitted, the API call console ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```console $ curl -u ":$API_TOKEN" "/prometheus/api/v1/cardinality/label_names?limit=2" | jq ``` would return the label names with the highest count of values across the entire tenant. #### Response schema JSON ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```json { "label_values_count_total": , "label_names_count": , "cardinality": [ { "label_name": , "label_values_count": } ] } ``` ### Label values cardinality endpoint ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```none GET,POST /api/v1/cardinality/label_values # Legacy GET,POST /api/v1/cardinality/label_values ``` Returns realtime label values cardinality associated with request parameter `label_names[]` across all ingesters, for the authenticated tenant, in `JSON` format. It returns the series count per label value for each label in the request parameter `label_names[]`. The items in the field `labels` are sorted by `series_count` in descending order and by `label_name` in ascending order. The items in the field `cardinality` are sorted by `series_count` in descending order and by `label_value` in ascending order. The count of `cardinality` items is limited by request parameter `limit`. #### Request parameters - **label\_names\[]** - *required* - specifies labels for which cardinality must be provided. - **selector** - *optional* - specifies PromQL selector that will be used to filter series that must be analyzed. - **limit** - *optional* - specifies max count of items in field `cardinality` in response (default=20, min=0, max=500). #### Example 1 (label values cardinality): In case we want to understand which label values have the highest number of `flower_events_created` series associated with them, we can execute: console ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```console $ curl -u ":$API_TOKEN" "/prometheus/api/v1/cardinality/label_values?label_names[]=worker&label_names[]=agent&limit=2&selector=\{__name__='flower_events_created'\}" | jq ``` JSON ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```json { "series_count_total": 5472781, "labels": [ { "label_name": "worker", "label_values_count": 162, "series_count": 1307, "cardinality": [ { "label_value": "aws-worker", "series_count": 67 }, { "label_value": "gcp-worker", "series_count": 66 } ] }, { "label_name": "agent", "label_values_count": 2, "series_count": 11, "cardinality": [ { "label_value": "grafana-agent", "series_count": 10 }, { "label_value": "jaeger-agent", "series_count": 1 } ] } ] } ``` From this, we see that there are 5,472,781 series with the metric name `flower_events_created.` Of those 5,472,781 series, there are 67 series with `worker=aws-worker` and 66 series with `worker=gcp-worker`. From the `series_count`, there are 1307 series with the label `worker` (across all 162 values of `worker`). Similarly, of the 5,472,781 total series, there are 10 series with `agent=grafana-agent` and 1 series with `agent=jaeger-agent`. From the `series_count` there are 11 total series with the label `agent` (across all 2 values of `agent`). #### Example 2 (metric names cardinality): In case we want to understand which metrics have the highest cardinality (i.e. have the most time series) you can look at the cardinality of the `__name__` label. console ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```console $ curl -u ":$API_TOKEN" "/prometheus/api/v1/cardinality/label_values?label_names[]=__name__&limit=2" | jq ``` JSON ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```json { "series_count_total": 1307, "labels": [ { "label_name": "__name__", "label_values_count": 162, "series_count": 1307, "cardinality": [ { "label_value": "flower_events_created", "series_count": 67 }, { "label_value": "flower_events_consumed", "series_count": 66 } ] } ] } ``` In this example, there are 1307 total active time series for the tenant named `tenant-id`. As there are 162 values for the label `__name__`, we know this means there are 162 metrics for this tenant. The `label_value` in the `cardinality` part of the payload are the names of the highest cardinality metrics. In this example, we see that metric `flower_events_created` has 67 series associated with it and metric `flower_events_consumed` has 66 series associated with it. #### Response schema JSON ![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy ```json { "series_count_total": , "labels": [ { "label_name": , "label_values_count": , "series_count": , "cardinality": [ { "label_value": , "series_count": } ] } ] } ``` - **series\_count\_total** - total number of series across opened TSDBs in all ingesters - **labels\[].label\_name** - label name requested via the request parameter `label_names[]` - **labels\[].label\_values\_count** - total number of label values for the label name (note that dependent on the `limit` request parameter it is possible that not all label values are present in `cardinality`) - **labels\[].series\_count** - total number of series having `labels[].label_name` - **labels\[].cardinality\[].label\_value** - label value associated with `labels[].label_name` - **labels\[].cardinality\[].series\_count** - total number of series having `label_value` for `label_name`