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Docker怎么安裝ClickHouse并初始化數(shù)據(jù)測(cè)試

發(fā)布時(shí)間:2021-06-26 09:02:54 來(lái)源:億速云 閱讀:377 作者:chen 欄目:開發(fā)技術(shù)

本篇內(nèi)容主要講解“Docker怎么安裝ClickHouse并初始化數(shù)據(jù)測(cè)試”,感興趣的朋友不妨來(lái)看看。本文介紹的方法操作簡(jiǎn)單快捷,實(shí)用性強(qiáng)。下面就讓小編來(lái)帶大家學(xué)習(xí)“Docker怎么安裝ClickHouse并初始化數(shù)據(jù)測(cè)試”吧!

clickhouse簡(jiǎn)介

ClickHouse是一個(gè)面向列存儲(chǔ)的數(shù)據(jù)庫(kù)管理系統(tǒng),可以使用SQL查詢實(shí)時(shí)生成分析數(shù)據(jù)報(bào)告,主要用于OLAP(在線分析處理查詢)場(chǎng)景。關(guān)于clickhouse原理以及基礎(chǔ)知識(shí)在以后學(xué)習(xí)中慢慢總結(jié)。

1、Docker安裝ClickHouse

docker run -d --name some-clickhouse-server \
-p 8123:8123 -p 9009:9009 -p 9091:9000 \
--ulimit nofile=262144:262144 \
-v /home/clickhouse:/var/lib/clickhouse \
yandex/clickhouse-server

2、下載SSBM工具

1、git clone https://github.com/vadimtk/ssb-dbgen.git
2、cd ssb-dbgen
3、make

3、生成數(shù)據(jù)

./dbgen -s 100 -T c
./dbgen -s 100 -T p
./dbgen -s 100 -T s
./dbgen -s 100 -T l
./dbgen -s 100 -T d

查看下數(shù)據(jù)

Docker怎么安裝ClickHouse并初始化數(shù)據(jù)測(cè)試

4、建表

CREATE TABLE default.customer
(
        C_CUSTKEY       UInt32,
        C_NAME          String,
        C_ADDRESS       String,
        C_CITY          LowCardinality(String),
        C_NATION        LowCardinality(String),
        C_REGION        LowCardinality(String),
        C_PHONE         String,
        C_MKTSEGMENT    LowCardinality(String)
)
ENGINE = MergeTree ORDER BY (C_CUSTKEY);
CREATE TABLE default.lineorder
(
    LO_ORDERKEY             UInt32,
    LO_LINENUMBER           UInt8,
    LO_CUSTKEY              UInt32,
    LO_PARTKEY              UInt32,
    LO_SUPPKEY              UInt32,
    LO_ORDERDATE            Date,
    LO_ORDERPRIORITY        LowCardinality(String),
    LO_SHIPPRIORITY         UInt8,
    LO_QUANTITY             UInt8,
    LO_EXTENDEDPRICE        UInt32,
    LO_ORDTOTALPRICE        UInt32,
    LO_DISCOUNT             UInt8,
    LO_REVENUE              UInt32,
    LO_SUPPLYCOST           UInt32,
    LO_TAX                  UInt8,
    LO_COMMITDATE           Date,
    LO_SHIPMODE             LowCardinality(String)
)
ENGINE = MergeTree PARTITION BY toYear(LO_ORDERDATE) ORDER BY (LO_ORDERDATE, LO_ORDERKEY);
CREATE TABLE default.part
(
        P_PARTKEY       UInt32,
        P_NAME          String,
        P_MFGR          LowCardinality(String),
        P_CATEGORY      LowCardinality(String),
        P_BRAND         LowCardinality(String),
        P_COLOR         LowCardinality(String),
        P_TYPE          LowCardinality(String),
        P_SIZE          UInt8,
        P_CONTAINER     LowCardinality(String)
)
ENGINE = MergeTree ORDER BY P_PARTKEY;
CREATE TABLE default.supplier
(
        S_SUPPKEY       UInt32,
        S_NAME          String,
        S_ADDRESS       String,
        S_CITY          LowCardinality(String),
        S_NATION        LowCardinality(String),
        S_REGION        LowCardinality(String),
        S_PHONE         String
)
ENGINE = MergeTree ORDER BY S_SUPPKEY;

5、導(dǎo)入數(shù)據(jù)

準(zhǔn)備工作:
先把ssb-dbgen(lineorder.tbl,customer.tbl,part.tbl,supplier.tbl)考到clickhouse-server容器里面

clickhouse-client --query "INSERT INTO customer FORMAT CSV" < customer.tbl
clickhouse-client --query "INSERT INTO part FORMAT CSV" < part.tbl
clickhouse-client --query "INSERT INTO supplier FORMAT CSV" < supplier.tbl
clickhouse-client --query "INSERT INTO lineorder FORMAT CSV" < lineorder.tbl

注意:如果此處報(bào)錯(cuò),檢查clickhouse的配置(端口是否占用,是否設(shè)置用戶和密碼)

6、測(cè)試

編號(hào)查詢語(yǔ)句SQL耗時(shí)(ms)
Q1SELECT SUM(l.LO_EXTENDEDPRICE * l.LO_DISCOUNT) AS revenue FROM lineorder_flat WHERE toYear(l.LO_ORDERDATE) = 1993 AND l.LO_DISCOUNT BETWEEN 1 AND 3 AND l.LO_QUANTITY < 25;36
Q2SELECT SUM(l.LO_EXTENDEDPRICE * l.LO_DISCOUNT) AS revenue FROM lineorder_flat WHERE toYYYYMM(l.LO_ORDERDATE) = 199401 AND l.LO_DISCOUNT BETWEEN 4 AND 6 AND l.LO_QUANTITYBETWEEN 26 AND 35;12
Q3SELECT SUM(l.LO_EXTENDEDPRICE * l.LO_DISCOUNT) AS revenue FROM lineorder_flat WHERE toISOWeek(l.LO_ORDERDATE) = 6 AND toYear(l.LO_ORDERDATE) = 1994 AND l.LO_DISCOUNT BETWEEN 5 AND 7 AND l.LO_QUANTITY BETWEEN 26 AND 35;12
Q4SELECT SUM(l.LO_REVENUE), toYear(l.LO_ORDERDATE) AS year, p.P_BRAND FROM lineorder_flat WHERE p.P_CATEGORY = ‘MFGR#12' AND s.S_REGION = ‘AMERICA' GROUP BY year, p.P_BRAND ORDER BY year, p.P_BRAND;16
Q5SELECT SUM(l.LO_REVENUE), toYear(l.LO_ORDERDATE) AS year, p.P_BRAND FROM lineorder_flat WHERE p.P_BRAND BETWEEN ‘MFGR#2221' AND ‘MFGR#2228' AND s.S_REGION = ‘ASIA' GROUP BY year, p.P_BRAND ORDER BY year, p.P_BRAND;21
Q6SELECT toYear(l.LO_ORDERDATE) AS year, s.S_CITY, p.P_BRAND, SUM(l.LO_REVENUE -l.LO_SUPPLYCOST) AS profit FROM lineorder_flat WHERE s.S_NATION = ‘UNITED STATES' AND (year = 1997 OR year = 1998) AND p.P_CATEGORY = ‘MFGR#14' GROUP BY year, s.S_CITY, p.P_BRAND ORDER BY year, s.S_CITY, p.P_BRAND;19

官網(wǎng)參考:
https://clickhouse.tech/docs/zh/getting-started/example-datasets/star-schema/#star-schema-benchmark

到此,相信大家對(duì)“Docker怎么安裝ClickHouse并初始化數(shù)據(jù)測(cè)試”有了更深的了解,不妨來(lái)實(shí)際操作一番吧!這里是億速云網(wǎng)站,更多相關(guān)內(nèi)容可以進(jìn)入相關(guān)頻道進(jìn)行查詢,關(guān)注我們,繼續(xù)學(xué)習(xí)!

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