Class: Gitlab::UsageDataQueries
Overview
Constant Summary
Constants inherited
from UsageData
Gitlab::UsageData::CE_MEMOIZED_VALUES, Gitlab::UsageData::MAX_GENERATION_TIME_FOR_SAAS
Gitlab::Usage::TimeFrame::ALL_TIME_TIME_FRAME_NAME, Gitlab::Usage::TimeFrame::DEFAULT_TIMESTAMP_COLUMN, Gitlab::Usage::TimeFrame::SEVEN_DAYS_TIME_FRAME_NAME, Gitlab::Usage::TimeFrame::TWENTY_EIGHT_DAYS_TIME_FRAME_NAME
Gitlab::Utils::UsageData::DISTRIBUTED_HLL_FALLBACK, Gitlab::Utils::UsageData::FALLBACK, Gitlab::Utils::UsageData::HISTOGRAM_FALLBACK, Gitlab::Utils::UsageData::MAX_BUCKET_SIZE
Class Method Summary
collapse
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.add(*args) ⇒ Object
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.add_metric(metric, time_frame: 'none', options: {}) ⇒ Object
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.alt_usage_data(value = nil, fallback: FALLBACK, &block) ⇒ Object
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.count(relation, column = nil, *args, **kwargs) ⇒ Object
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.distinct_count(relation, column = nil, *args, **kwargs) ⇒ Object
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.estimate_batch_distinct_count(relation, column = nil, *args, **kwargs) ⇒ Object
For estimated distinct count use exact query instead of hll buckets query, because it can’t be used to obtain estimations without supplementary ruby code present in Gitlab::Database::PostgresHll::BatchDistinctCounter.
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.histogram(relation, column, buckets:, bucket_size: buckets.size) ⇒ Object
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.maximum_id(model, column = nil) ⇒ Object
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.minimum_id(model, column = nil) ⇒ Object
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.redis_usage_data(counter = nil, &block) ⇒ Object
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.stage_manage_events(time_period) ⇒ Object
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.sum(relation, column, *args, **kwargs) ⇒ Object
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.topology_usage_data ⇒ Object
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.with_metadata ⇒ Object
Methods inherited from UsageData
components_usage_data, data, features_usage_data, object_store_config, object_store_usage_data, recorded_at, system_usage_data, system_usage_data_license, system_usage_data_weekly, usage_activity_by_stage, usage_activity_by_stage_configure, usage_activity_by_stage_create, usage_activity_by_stage_enablement, usage_activity_by_stage_manage, usage_activity_by_stage_monitor, usage_activity_by_stage_package, usage_activity_by_stage_plan, usage_activity_by_stage_release, usage_activity_by_stage_verify, user_preferences_usage
#monthly_time_range, #monthly_time_range_db_params, #weekly_time_range, #weekly_time_range_db_params
#add, #add_metric, #alt_usage_data, #average, #count, #distinct_count, #estimate_batch_distinct_count, #histogram, #maximum_id, #measure_duration, #metrics_collection_metadata, #minimum_id, #redis_usage_data, #sum, #track_usage_event, #with_finished_at, #with_metadata, #with_prometheus_client
Class Method Details
.add(*args) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 41
def add(*args)
'SELECT ' + args.map { |arg| "(#{arg})" }.join(' + ')
end
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.add_metric(metric, time_frame: 'none', options: {}) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 12
def add_metric(metric, time_frame: 'none', options: {})
metric_class = "Gitlab::Usage::Metrics::Instrumentations::#{metric}".constantize
metric_class.new(time_frame: time_frame, options: options).instrumentation
end
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.alt_usage_data(value = nil, fallback: FALLBACK, &block) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 53
def alt_usage_data(value = nil, fallback: FALLBACK, &block)
if block
{ alt_usage_data_block: "non-SQL usage data block" }
else
{ alt_usage_data_value: value }
end
end
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.count(relation, column = nil, *args, **kwargs) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 18
def count(relation, column = nil, *args, **kwargs)
Gitlab::Usage::Metrics::Query.for(:count, relation, column)
end
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.distinct_count(relation, column = nil, *args, **kwargs) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 22
def distinct_count(relation, column = nil, *args, **kwargs)
Gitlab::Usage::Metrics::Query.for(:distinct_count, relation, column)
end
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.estimate_batch_distinct_count(relation, column = nil, *args, **kwargs) ⇒ Object
For estimated distinct count use exact query instead of hll buckets query, because it can’t be used to obtain estimations without supplementary ruby code present in Gitlab::Database::PostgresHll::BatchDistinctCounter
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# File 'lib/gitlab/usage_data_queries.rb', line 37
def estimate_batch_distinct_count(relation, column = nil, *args, **kwargs)
Gitlab::Usage::Metrics::Query.for(:estimate_batch_distinct_count, relation, column)
end
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.histogram(relation, column, buckets:, bucket_size: buckets.size) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 30
def histogram(relation, column, buckets:, bucket_size: buckets.size)
Gitlab::Usage::Metrics::Query.for(:histogram, relation, column, buckets: buckets, bucket_size: bucket_size)
end
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.maximum_id(model, column = nil) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 45
def maximum_id(model, column = nil)
end
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.minimum_id(model, column = nil) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 49
def minimum_id(model, column = nil)
end
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.redis_usage_data(counter = nil, &block) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 61
def redis_usage_data(counter = nil, &block)
if block
{ redis_usage_data_block: "non-SQL usage data block" }
elsif counter.present?
{ redis_usage_data_counter: counter.to_s }
end
end
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.stage_manage_events(time_period) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 76
def stage_manage_events(time_period)
estimate_batch_distinct_count(::Event.where(time_period), :author_id)
end
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.sum(relation, column, *args, **kwargs) ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 26
def sum(relation, column, *args, **kwargs)
Gitlab::Usage::Metrics::Query.for(:sum, relation, column)
end
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.topology_usage_data ⇒ Object
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# File 'lib/gitlab/usage_data_queries.rb', line 69
def topology_usage_data
{
duration_s: 0,
failures: []
}
end
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# File 'lib/gitlab/usage_data_queries.rb', line 8
def with_metadata
yield
end
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