Commit 4ff8d5d2 authored by Timothy Andrew's avatar Timothy Andrew

Implement a database median strategy for MySQL.

1. Dispatch between the two strategies automatically based on the
   current database type.

2. The MySQL version needs to run multiple statements, so the
   `cycle_analytics` model is modified to support this.
parent b43d3af7
# https://www.periscopedata.com/blog/medians-in-sql.html
module DatabaseMedian
extend ActiveSupport::Concern
def median_datetime(arel_table, query_so_far, column_sym)
# TODO: MySQL
case ActiveRecord::Base.connection.adapter_name
when 'PostgreSQL'
pg_median_datetime(arel_table, query_so_far, column_sym)
when 'Mysql2'
mysql_median_datetime(arel_table, query_so_far, column_sym)
else
raise NotImplementedError, "We haven't implemented a database median strategy for your database type."
end
end
def mysql_median_datetime(arel_table, query_so_far, column_sym)
query = arel_table.
from(arel_table.project(Arel.sql('*')).order(arel_table[column_sym]).as(arel_table.table_name)).
project(Arel::Nodes::NamedFunction.new("AVG", [arel_table[column_sym]]).as('median')).
where(Arel::Nodes::Between.new(Arel.sql("(select @row_id := @row_id + 1)"),
Arel::Nodes::And.new([Arel.sql('@ct/2.0'),
Arel.sql('@ct/2.0 + 1')]))).
# Disallow negative values
where(arel_table[column_sym].gteq(0))
[Arel.sql("CREATE TEMPORARY TABLE IF NOT EXISTS #{query_so_far.to_sql}"),
Arel.sql("set @ct := (select count(1) from #{arel_table.table_name});"),
Arel.sql("set @row_id := 0;"),
query,
Arel.sql("DROP TEMPORARY TABLE IF EXISTS #{arel_table.table_name};")]
end
# https://www.periscopedata.com/blog/medians-in-sql.html
def pg_median_datetime(arel_table, query_so_far, column_sym)
# Create a CTE with the column we're operating on, row number (after sorting by the column
# we're operating on), and count of the table we're operating on (duplicated across) all rows
......@@ -19,7 +41,7 @@ module DatabaseMedian
# 5 | 1 | 3
# 9 | 2 | 3
# 15 | 3 | 3
cte_table = Arel::Table.new(("ordered_records"))
cte_table = Arel::Table.new("ordered_records")
cte = Arel::Nodes::As.new(cte_table,
arel_table.
project(arel_table[column_sym].as(column_sym.to_s),
......@@ -36,19 +58,19 @@ module DatabaseMedian
[extract_epoch(cte_table[column_sym])],
"median")).
where(Arel::Nodes::Between.new(cte_table[:row_id],
Arel::Nodes::And.new([(cte_table[:ct] / Arel::Nodes::SqlLiteral.new('2.0')),
(cte_table[:ct] / Arel::Nodes::SqlLiteral.new('2.0') + 1)]))).
Arel::Nodes::And.new([(cte_table[:ct] / Arel.sql('2.0')),
(cte_table[:ct] / Arel.sql('2.0') + 1)]))).
with(query_so_far, cte)
end
private
def extract_epoch(arel_attribute)
Arel::Nodes::SqlLiteral.new("EXTRACT(EPOCH FROM \"#{arel_attribute.relation.name}\".\"#{arel_attribute.name}\")")
Arel.sql("EXTRACT(EPOCH FROM \"#{arel_attribute.relation.name}\".\"#{arel_attribute.name}\")")
end
# Need to cast '0' to an INTERVAL before we can check if the interval is positive
def zero_interval
Arel::Nodes::NamedFunction.new("CAST", [Arel::Nodes::SqlLiteral.new("'0' AS INTERVAL")])
Arel::Nodes::NamedFunction.new("CAST", [Arel.sql("'0' AS INTERVAL")])
end
end
......@@ -61,18 +61,10 @@ class CycleAnalytics
cte_table = Arel::Table.new("cte_table_for_#{name}")
# Add a `SELECT` for (end_time - start-time), and add an alias for it.
# Note: We use COALESCE to pick up the first non-null column for end_time / start_time.
query = Arel::Nodes::As.new(
cte_table,
base_query.project(
Arel::Nodes::Subtraction.new(
Arel::Nodes::NamedFunction.new("COALESCE", Array.wrap(end_time_attrs)),
Arel::Nodes::NamedFunction.new("COALESCE", Array.wrap(start_time_attrs))
).as(name.to_s)))
query = median_datetime(cte_table, query, name)
median = ActiveRecord::Base.connection.execute(query.to_sql).first['median']
median.to_f if median.present?
query = Arel::Nodes::As.new(cte_table, subtract_datetimes(base_query, end_time_attrs, start_time_attrs, name.to_s))
queries = Array.wrap(median_datetime(cte_table, query, name))
results = queries.map { |query| run_query(query) }
extract_median(results).presence
end
# Join table with a row for every <issue,merge_request> pair (where the merge request
......@@ -96,4 +88,43 @@ class CycleAnalytics
# Limit to merge requests that have been deployed to production after `@from`
query.where(TableReferences.merge_request_metrics[:first_deployed_to_production_at].gteq(@from))
end
# Note: We use COALESCE to pick up the first non-null column for end_time / start_time.
def subtract_datetimes(query_so_far, end_time_attrs, start_time_attrs, as)
diff_fn = case ActiveRecord::Base.connection.adapter_name
when 'PostgreSQL'
Arel::Nodes::Subtraction.new(
Arel::Nodes::NamedFunction.new("COALESCE", Array.wrap(end_time_attrs)),
Arel::Nodes::NamedFunction.new("COALESCE", Array.wrap(start_time_attrs)))
when 'Mysql2'
Arel::Nodes::NamedFunction.new(
"TIMESTAMPDIFF",
[Arel.sql('second'),
Arel::Nodes::NamedFunction.new("COALESCE", Array.wrap(start_time_attrs)),
Arel::Nodes::NamedFunction.new("COALESCE", Array.wrap(end_time_attrs))])
else
raise NotImplementedError, "Cycle analytics doesn't support your database type."
end
query_so_far.project(diff_fn.as(as))
end
def run_query(query)
if query.is_a? String
ActiveRecord::Base.connection.execute query
else
ActiveRecord::Base.connection.execute query.to_sql
end
end
def extract_median(results)
result = results.compact.first
case ActiveRecord::Base.connection.adapter_name
when 'PostgreSQL'
result.first['median'].to_f
when 'Mysql2'
result.to_a.flatten.first
end
end
end
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