关于clickhouse:用-ClickHouse-的-SummingMergeTree-实现准实时看板qbit

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前言

  • 本文测试环境 ClickHouse 版本为 22.3 LTS
  • SummingMergeTree 官网文档:https://clickhouse.com/docs/e…

初始化

测试数据生成

  • 创立库

    CREATE DATABASE qbit;
  • 创立表

    CREATE TABLE download (
      userid UInt32,
      when DateTime,
      size Float32
    ) ENGINE = MergeTree 
    PARTITION BY toYYYYMM(when)
    ORDER BY(userid, when);
  • 插入数据

    INSERT INTO qbit.download
    SELECT
      rand() % 5,
      now() + number * 60 as when,
      rand() % 100000000
    FROM system.numbers
    LIMIT 5000;
  • 查看数据

    SELECT * FROM qbit.download LIMIT 10;

  • 查看每天的下载量( 扫描 10000 条数据

    SELECT
      userid,
      toYYYYMMDD(when) AS day,
      count() AS cnt,
      sum(size) AS size
    FROM qbit.download
    GROUP BY
      userid,
      day
    ORDER BY cnt DESC

SummingMergeTree 准实时看板

形式一(view1)

  • 创立视图 view1

    CREATE MATERIALIZED VIEW qbit.view1
    ENGINE = SummingMergeTree((cnt, size))
    ORDER BY (userid, day) POPULATE AS
    SELECT
      userid,
      toYYYYMMDD(when) AS day,
      toInt64(1) AS cnt,
      toFloat64(size) AS size
    FROM qbit.download

  • 查问视图 view1(能够看到跟后面的查问后果是统一的)

    SELECT *
    FROM qbit.view1
    ORDER BY cnt DESC
    LIMIT 10

形式二(view2)

  • 创立视图 view2

    CREATE MATERIALIZED VIEW qbit.view2
    ENGINE = SummingMergeTree
    PARTITION BY day
    ORDER BY (userid, day) POPULATE AS
    SELECT
      userid,
      toYYYYMMDD(when) AS day,
      count() AS cnt,
      sum(size) AS size
    FROM qbit.download
    GROUP BY
      userid,
      day

  • 查问视图 view2(能够看到跟后面的查问后果是统一的)

    SELECT *
    FROM qbit.view2
    ORDER BY cnt DESC
    LIMIT 10

AggregatingMergeTree 准实时看板

  • 创立视图(view3)

    CREATE MATERIALIZED VIEW qbit.view3
    ENGINE = AggregatingMergeTree
    PARTITION BY day
    ORDER BY (userid, day) POPULATE AS
    SELECT
      userid,
      toYYYYMMDD(when) AS day,
      countState() AS cnt,
      sumState(size) AS size
    FROM qbit.download
    GROUP BY
      userid,
      day

  • 查问视图 view3(能够看到跟后面的查问后果是统一的)

    SELECT
      userid,
      day,
      countMerge(cnt) AS cnt,
      sumMerge(size) AS size
    FROM qbit.view3
    GROUP BY
      userid,
      day
    ORDER BY cnt DESC
    LIMIT 10

插入更新数据

本文出自 qbit snap

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