69 lines
2.5 KiB
Markdown
69 lines
2.5 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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# Usage Data Metrics guide
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This guide describes deprecated usage for metrics in `usage_data.rb`.
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NOTE:
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Implementing metrics direct in `usage_data.rb` is deprecated, We recommend you use [instrumentation classes](metrics_instrumentation.md).
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## Ordinary batch counters
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Simple count of a given `ActiveRecord_Relation`, does a non-distinct batch count, smartly reduces `batch_size`, and handles errors.
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Handles the `ActiveRecord::StatementInvalid` error.
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Method:
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```ruby
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count(relation, column = nil, batch: true, start: nil, finish: nil)
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```
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Arguments:
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- `relation` the ActiveRecord_Relation to perform the count
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- `column` the column to perform the count on, by default is the primary key
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- `batch`: default `true` to use batch counting
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- `start`: custom start of the batch counting to avoid complex min calculations
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- `end`: custom end of the batch counting to avoid complex min calculations
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Examples:
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```ruby
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count(User.active)
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count(::Clusters::Cluster.aws_installed.enabled, :cluster_id)
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count(::Clusters::Cluster.aws_installed.enabled, :cluster_id, start: ::Clusters::Cluster.minimum(:id), finish: ::Clusters::Cluster.maximum(:id))
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```
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## Distinct batch counters
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Distinct count of a given `ActiveRecord_Relation` on given column, a distinct batch count, smartly reduces `batch_size`, and handles errors.
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Handles the `ActiveRecord::StatementInvalid` error.
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Method:
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```ruby
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distinct_count(relation, column = nil, batch: true, batch_size: nil, start: nil, finish: nil)
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```
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Arguments:
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- `relation`: the ActiveRecord_Relation to perform the count
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- `column`: the column to perform the distinct count, by default is the primary key
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- `batch`: default `true` to use batch counting
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- `batch_size`: if none set it uses default value 10000 from `Gitlab::Database::BatchCounter`
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- `start`: custom start of the batch counting to avoid complex min calculations
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- `end`: custom end of the batch counting to avoid complex min calculations
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WARNING:
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Counting over non-unique columns can lead to performance issues. For more information, see the [iterating tables in batches](../database/iterating_tables_in_batches.md) guide.
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Examples:
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```ruby
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distinct_count(::Project, :creator_id)
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distinct_count(::Note.with_suggestions.where(time_period), :author_id, start: ::User.minimum(:id), finish: ::User.maximum(:id))
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```
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