ClickHouse에서 메모리 사용량으로 고비용 쿼리 식별하기

SELECT
    count() as nb_query,
    user,
    query,
    sum(memory_usage) AS memory,
    normalized_query_hash
FROM
    clusterAllReplicas(default, system.query_log)
WHERE
    (event_time >= (now() - toIntervalDay(1)))
    AND is_initial_query = 1
    AND query_kind = 'Select'
    AND type = 'QueryFinish'
    and user != 'monitoring-internal'
GROUP BY
    normalized_query_hash,
    query,
    user
ORDER BY
    memory DESC;

┌─nb_query─┬─user────┬─query─────────────────────────────────────────────────────────┬───memory─┬─normalized_query_hash─┐
│       11 │ default │ select version()                                              │ 46178924 │   7202516440347714159 │
│        2 │ default │ SELECT * FROM "system"."table_functions" LIMIT 31 OFFSET 0    │  8391544 │  12830067173062987695 │
└──────────┴─────────┴───────────────────────────────────────────────────────────────┴──────────┴───────────────────────┘

SELECT
    count() as nb_query,
    user,
    query,
    sum(memory_usage) AS memory,
    normalized_query_hash
FROM
    system.query_log
WHERE
    (event_time >= (now() - toIntervalDay(1)))
    AND is_initial_query = 1
    AND query_kind = 'Select'
    AND type = 'QueryFinish'
    and user != 'monitoring-internal'
GROUP BY
    normalized_query_hash,
    query,
    user
ORDER BY
    memory DESC;