Docker安裝ClickHouse并初始化數據測試

clickhouse簡(jiǎn)介

ClickHouse是一個(gè)面向列存儲的數據庫管理系統，可以使用SQL查詢(xún)實(shí)時(shí)生成分析數據報告，主要用于OLAP(在線(xiàn)分析處理查詢(xún))場(chǎng)景。關(guān)于clickhouse原理以及基礎知識在以后學(xué)習中慢慢總結。

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、生成數據

./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

查看下數據

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、導入數據

準備工作：
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：如果此處報錯，檢查clickhouse的配置（端口是否占用，是否設置用戶(hù)和密碼）

6、測試

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

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