Collection volumes
This page shows you how to get started using the collection volumes mediarithmics API to query the number of elements indexed in mediarithmics.
For each datamart collection, you can get the number of elements which were indexed at a given time.
This API is a mediarithmics Data cube and works similarly as Activities analytics queries API.
Quickstart
POST
https://api.mediarithmics.com/v1/platform_monitoring/collections
Request Body
Name | Type | Description |
---|---|---|
metrics* | array | Array of Metric to retrieve. |
dimension_filter_clauses* | object | Filters to apply on dimensions before calculating the metric. For more information, see FilterClause. |
dimensions* | Dimensions to group metrics by. | Dimensions to group metrics by. |
date_ranges* | array | Periods to analyze. Each date range is an object with a |
Here is a sample report request body payload with all the important properties:
Measure
Collection counts are retrieved every day through OTQL queries, for each indexed collection. A collection is indexed if it is in your schema. Volumes for non indexed collections are not computed. For more information on collections indexing, see Data model.
Hereunder is a description of the queries we use to compute the volumes.
The OTQL query is automatically adapted in case the runtime schema is using the @Mirror directive.
Collection name | OTQL query |
---|---|
| SELECT @count{} FROM UserPoint |
| SELECT @count{} FROM UserAccount |
| SELECT @count {} FROM UserEmail |
| SELECT @count {} FROM UserAgent |
| SELECT @count {} FROM UserProfile |
| SELECT @count {} FROM UserActivity |
| SELECT @count {} FROM UserEvent |
| SELECT @count {} FROM UserSegment |
| SELECT @count {} FROM UserChoice |
| SELECT @count {} FROM UserScenario |
Retention
These aggregated stats are kept for two years.
Supported dimensions and metrics
See Dimensions and metrics for the complete list of supported dimensions and metrics.
Learning more about data cubes
This endpoint is a mediarithmics Data cube. You can find documentation on how data cubes work and which are available in the specific documentation section.
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