ClickHouse 物化视图生成速度太慢

Question

我们将原始事件收集到 ClickHouse table。 Table结构：

CREATE TABLE IF NOT EXISTS raw_events
(
    owner_id                  UInt32,
    user_id                   UInt32,
    event_datetime            DateTime,
    event_type_id             UInt8,
    unique_id                 FixedString(18),
    data                      String,
    attr_1                    UInt32,
    attr_2                    UInt32
)
    engine = MergeTree PARTITION BY toYYYYMMDD(event_datetime)
    ORDER BY (owner_id, user_id, event_type_id, event_datetime);

目前 raw_events table 包含 120000000 (120M) 行.

我们的目标是向我们的用户展示这些事件的一些汇总统计信息，因此我们创建了一个物化视图：

CREATE MATERIALIZED VIEW test
ENGINE = AggregatingMergeTree() PARTITION BY (date)
ORDER BY (owner_id, user_id, date)
AS SELECT
       toYYYYMMDD(event_datetime) as date,
       owner_id,
       user_id,
       multiIf(
                   event_type_id == 1, 10,
                   event_type_id == 2, 20,
                   event_type_id == 3, 30,
                   event_type_id == 4, 40,
                   event_type_id == 32, 50,
                   event_type_id >= 64, 60,
                   0
           ) as status,
       attr_1,
       attr_2,
       COUNT() as count,
       COUNT(DISTINCT unique_id) as unique_count
   FROM raw_events
   GROUP BY owner_id, user_id, date, status, attr_1, attr_2
   ORDER BY owner_id, user_id, date;

如果我们运行单独查询 select，则大约需要 1 秒才能为单个 owner_id 生成响应。但是为相同的 select 创建物化视图需要花费太多时间。在执行 create materialized view 查询后，它仅生成了 200 条记录，并花费了 ~10 分钟。所以看起来要为当前的 120M 记录完全构建视图需要几天时间 table.

我错过了什么？也许 order/group 子句有一些技巧可以使其运行更快？目前，我只使用运行 select+group 查询而不是使用实体化视图要容易得多。

附加问题：有没有办法检查现有 table 的物化视图构建进度？

Answer 1

AggregatingMergeTree -- 使用 ORDER BY 作为折叠规则。
AggregatingMergeTree -- 必须与 AggregateFunctions + -State + -Merge 组合器一起使用
ORDER BY -- 过多

CREATE MATERIALIZED VIEW test
ENGINE = AggregatingMergeTree() PARTITION BY (date)
ORDER BY (owner_id, user_id, date, status, attr_1, attr_2)         ---<<<<<<<<<<<<<<<<<<<<-----------
AS SELECT
       toYYYYMMDD(event_datetime) as date,
       owner_id,
       user_id,
       multiIf(
                   event_type_id == 1, 10,
                   event_type_id == 2, 20,
                   event_type_id == 3, 30,
                   event_type_id == 4, 40,
                   event_type_id == 32, 50,
                   event_type_id >= 64, 60,
                   0
           ) as status,
       attr_1,
       attr_2,
       countState() as count,                                  ---<<<<<<<<<<<<<<<<<<<<-----------
       uniqState(unique_id) as unique_count        ---<<<<<<<<<<<<<<<<<<<<-----------
   FROM raw_events
   GROUP BY owner_id, user_id, date, status, attr_1, attr_2

https://gist.github.com/den-crane/a72614fbe6d23eb9c2f1bce40c66893f

https://gist.github.com/den-crane/49ce2ae3a688651b9c2dd85ee592cb15

https://den-crane.github.io/Everything_you_should_know_about_materialized_views_commented.pdf

ClickHouse 物化视图生成速度太慢

ClickHouse Materialized View generating too slow

performance

aggregate

materialized-views

query-optimization

clickhouse