ddadmin
54686651df
- Зачем: - параллельный DQ выгружал деловые ключи в Python и исчерпывал 640 МиБ планировщика. - Что: - четыре сверки агрегируют дневные итоги и ограниченную диагностику в ClickHouse. - коробка планировщика поднята до 1,5 ГиБ, локальные пределы задач удалены. - измерения и граница между SQL и Python записаны в документации. - Проверка: - make lint, make config-test, make smoke, make check-clickhouse, make check-services. - полный etl_pipeline, красный и восстановительный прогоны dq_check.
72 lines
2.7 KiB
SQL
72 lines
2.7 KiB
SQL
-- DQ: дневной трафик против прямого агрегата сессий и карты идентичностей.
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--
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-- Публичные представления скрывают физическую ко-локацию, поэтому GLOBAL
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-- назван явно, как в самой витрине. Полное объединение не прячет день,
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-- исчезнувший с любой стороны.
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WITH
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reference AS
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(
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SELECT
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sessions.session_date AS report_date,
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uniqExact(sessions.client_id) AS visitors,
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uniqExactIf(identities.user_id, identities.user_id != 0) AS known_users
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FROM dds.session_v AS sessions
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GLOBAL LEFT JOIN dds.identity_map_v AS identities USING (client_id)
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GROUP BY report_date
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),
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actual AS
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(
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SELECT
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report_date,
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count() AS physical_rows,
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any(visitors) AS visitors,
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any(known_users) AS known_users
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FROM dm.daily_traffic_v
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GROUP BY report_date
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),
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comparison AS
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(
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SELECT
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coalesce(reference.report_date, actual.report_date) AS data_date,
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toString(coalesce(reference.report_date, actual.report_date))
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AS business_key,
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isNotNull(reference.report_date) AS reference_present,
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isNotNull(actual.report_date) AS actual_present,
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toString(tuple(reference.visitors, reference.known_users))
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AS reference_value,
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concat(
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toString(tuple(actual.visitors, actual.known_users)),
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', rows=',
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toString(actual.physical_rows)
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) AS actual_value,
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isNull(reference.report_date)
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OR isNull(actual.report_date)
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OR actual.physical_rows != 1
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OR NOT isNotDistinctFrom(reference.visitors, actual.visitors)
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OR NOT isNotDistinctFrom(reference.known_users, actual.known_users)
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AS failed
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FROM reference
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GLOBAL FULL OUTER JOIN actual USING (report_date)
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)
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SELECT
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data_date,
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countIf(reference_present) AS reference_rows,
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countIf(actual_present) AS actual_rows,
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countIf(failed) AS failed_rows,
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groupArrayIf(20)(
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concat(
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toString(data_date),
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' key=',
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business_key,
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': эталон=',
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if(reference_present, reference_value, 'нет ключа'),
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', объект=',
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if(actual_present, actual_value, 'нет ключа')
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),
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failed
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) AS diagnostics
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FROM comparison
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GROUP BY data_date
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ORDER BY data_date
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SETTINGS join_use_nulls = 1
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