debian-mirror-gitlab/doc/development/service_ping/usage_data.md
2023-01-13 15:02:22 +05:30

2.5 KiB

stage group info
Analytics Product Intelligence 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

Usage Data Metrics guide

This guide describes deprecated usage for metrics in usage_data.rb.

NOTE: Implementing metrics direct in usage_data.rb is deprecated, We recommend you use instrumentation classes.

Ordinary batch counters

Simple count of a given ActiveRecord_Relation, does a non-distinct batch count, smartly reduces batch_size, and handles errors. Handles the ActiveRecord::StatementInvalid error.

Method:

count(relation, column = nil, batch: true, start: nil, finish: nil)

Arguments:

  • relation the ActiveRecord_Relation to perform the count
  • column the column to perform the count on, by default is the primary key
  • batch: default true to use batch counting
  • start: custom start of the batch counting to avoid complex min calculations
  • end: custom end of the batch counting to avoid complex min calculations

Examples:

count(User.active)
count(::Clusters::Cluster.aws_installed.enabled, :cluster_id)
count(::Clusters::Cluster.aws_installed.enabled, :cluster_id, start: ::Clusters::Cluster.minimum(:id), finish: ::Clusters::Cluster.maximum(:id))

Distinct batch counters

Distinct count of a given ActiveRecord_Relation on given column, a distinct batch count, smartly reduces batch_size, and handles errors. Handles the ActiveRecord::StatementInvalid error.

Method:

distinct_count(relation, column = nil, batch: true, batch_size: nil, start: nil, finish: nil)

Arguments:

  • relation: the ActiveRecord_Relation to perform the count
  • column: the column to perform the distinct count, by default is the primary key
  • batch: default true to use batch counting
  • batch_size: if none set it uses default value 10000 from Gitlab::Database::BatchCounter
  • start: custom start of the batch counting to avoid complex min calculations
  • end: custom end of the batch counting to avoid complex min calculations

WARNING: Counting over non-unique columns can lead to performance issues. For more information, see the iterating tables in batches guide.

Examples:

distinct_count(::Project, :creator_id)
distinct_count(::Note.with_suggestions.where(time_period), :author_id, start: ::User.minimum(:id), finish: ::User.maximum(:id))