clickhouse安装使用文档

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clickhouse安装使用文档
Clickhouse简介

Clickhouse是什么

1. 开源的列存储数据库管理系统

2. 支持线性扩展

3. 简单方便

4. 高可靠性

5. 容错（支持多主机异步复制，可以跨多个数据中心部署。单个节点或整个数据中心的停机时间不会影响系统的读写可用性）

clickhouse架构及存储方式

clickhouse架构未开源

clickhouse特点

用于对干净，结构良好且不可变的事件或日志进行分析。建议将每个这样的流放入一个带有预加入尺寸的单一宽事实表中。

Clickhouse使用场景

可行的应用程序的一些例子：
- Web和App分析
- 广告网络和RTB
- 电信
- 电子商务和金融
- 信息安全
- 监测和遥测
- 时间序列
- 商业智能
- 线上游戏
- 物联网
- 事务性工作负载（OLTP）
- 高请求率的键值访问
- Blob或文档存储
- 超标准化的数据
不适用场景

clickhouse安装

clickhouse单节点安装

检查系统是否支持clickhouse安装

执行命令：

grep -q sse4_2 /proc/cpuinfo && echo "SSE 4.2 supported" || echo "SSE 4.2 not supported"

若显示为SSE4.2suported 则可以继续安装如为后者：

那么很不幸的告诉你你的电脑cpu不支持sse指令集，请自想办法。

拉取repo源文件

curl -s https://packagecloud.io/install/repositories/altinity/clickhouse/script.rpm.sh | sudo bash

或者直接新建：

altinity_clickhouse.repo文件

将此内容插入centos6版本

[altinity_clickhouse]

name=altinity_clickhouse

baseurl=https://packagecloud.io/altinity/clickhouse/el/6/$basearch

repo_gpgcheck=1

gpgcheck=0

enabled=1

gpgkey=https://packagecloud.io/altinity/clickhouse/gpgkey

sslverify=1

sslcacert=/etc/pki/tls/certs/ca-bundle.crt

metadata_expire=300

[altinity_clickhouse-source]

name=altinity_clickhouse-source

baseurl=https://packagecloud.io/altinity/clickhouse/el/6/SRPMS

repo_gpgcheck=1

gpgcheck=0

enabled=1

gpgkey=https://packagecloud.io/altinity/clickhouse/gpgkey

sslverify=1

sslcacert=/etc/pki/tls/certs/ca-bundle.crt

metadata_expire=300

centos7版本

[altinity_clickhouse]

name=altinity_clickhouse

baseurl=https://packagecloud.io/altinity/clickhouse/el/7/$basearch

repo_gpgcheck=1

gpgcheck=0

enabled=1

gpgkey=https://packagecloud.io/altinity/clickhouse/gpgkey

sslverify=1

sslcacert=/etc/pki/tls/certs/ca-bundle.crt

metadata_expire=300

[altinity_clickhouse-source]

name=altinity_clickhouse-source

baseurl=https://packagecloud.io/altinity/clickhouse/el/7/SRPMS

repo_gpgcheck=1

gpgcheck=0

enabled=1

gpgkey=https://packagecloud.io/altinity/clickhouse/gpgkey

sslverify=1

sslcacert=/etc/pki/tls/certs/ca-bundle.crt

metadata_expire=300

yum list ‘clickhouse*’

yum –y install ‘clickhouse*

clickhouse多节点安装

在每台机器上安装click house数据库然后，在每台机器上做如下修改

修改host文件

127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4

::1         localhost localhost.localdomain localhost6 localhost6.localdomain6

192.168.3.251 host1

192.168.3.252 host2

192.168.3.247 host3

~

新建文件metrika.xml

在/etc下新建文件cd /etc

vi   metrika.xml

将以下内容修改后粘贴入metrika.xml

<yandex>

<clickhouse_remote_servers>

    <perftest_3shards_1replicas>

        <shard>

             <internal_replication>true</internal_replication>

            <replica>

                <host>192.168.3.247</host>

                <port>9000</port>

            </replica>

        </shard>

        <shard>

            <replica>

                <internal_replication>true</internal_replication>

                <host>192.168.3.252</host>

                <port>9000</port>

            </replica>

        </shard>

                   <shard>

            <replica>

                <internal_replication>true</internal_replication>

                <host>192.168.3.251</host>

                <port>9000</port>

            </replica>

        </shard>

    </perftest_3shards_1replicas>

</clickhouse_remote_servers>

<zookeeper-servers>

<node index="1">

    <host>192.168.3.251</host>

    <port>2181</port>

</node>

</zookeeper-servers>

<macros>

    <replica>192.168.3.252</replica>

</macros>

<networks>

   <ip>::/0</ip>

</networks>

<clickhouse_compression>

<case>

<min_part_size>10000000000</min_part_size>

<min_part_size_ratio>0.01</min_part_size_ratio>

<method>lz4</method>

</case>

</clickhouse_compression>

</yandex>

修改/etc/clickhouse-server下的config.xml文件



    

    <listen_host>::1</listen_host>

    <listen_host>192.168.3.252</listen_host>

clickhouse使用

简单的使用

启动

/etc/init.d/clickhouse-server start

命令行clickhouse-client –h host –u –p

默认即可：使用clickhouse-client 进入客户端。

DML（data manipulation language）

insert into funtest values(3,'xiaoming',22,'2017-11-09')

insert into funtest values(32,'xiaolan',33,'2017-11-08')

insert into funtest values(35,'xiaotong',33,'2017-11-07')

insert into funtest values(4,'xiaohuang',33,'2017-11-08')

insert into funtest values(44,'xiaolvas',34,'2017-11-05')

insert into funtest values(6,'xiaohuanasg',32,'2017-11-28')

select * from funtest

select * from funtest order by id

select * from funtest order by id desc

select avg(age) from funtest

select count(name) from funtest

select age from funtest group by age

select round(age/3) FROM funtest

select cast('2015-12-22' as date) from funtest

select cast('2015-12-22' as date)+30 from funtest

select stddev_samp(age) FROM funtest

select upper('hhh') from funtest

select upper(name) from funtest

select abs(-1) from funtest

select * FROM funtest where times =cast('2015-12-22' as date)

select max(age) from funtest

select case when name ='xiaoming' then concat(name,'dddd') else 'ddddfdfdfdf' end from funtest

select substring(name,1,3) from funtest

select rand() from funtest

DDL（data definition language）

create table funtest(id UInt32, name String ,age UInt32,times Date)ENGINE=Log

drop table funtest

alter table ontime_all add COLUMN name String;

性能测试

性能测试代码如下

获取数据

for s in `seq 1987 2017`

do

for m in `seq 1 12`

do

echo http://transtats.bts.gov/PREZIP/On_Time_On_Time_Performance_${s}_${m}.zip >> a.lst

done

done

解压上传至click house数据库

for i in *.zip; do echo $i; unzip -cq $i '*.csv' | sed 's/.00//g' | clickhouse-client --query="INSERT INTO ontime_test FORMAT CSVWithNames"; done

创建hive表

CREATE TABLE ontime

(

    Year int,

    Quarter int,

    Month int,

    DayofMonth int,

    DayOfWeek int,

    FlightDate Date,

    UniqueCarrier String,

    AirlineID int,

    Carrier String,

    TailNum String,

    FlightNum String,

    OriginAirportID int,

    OriginAirportSeqID int,

    OriginCityMarketID int,

    Origin String,

    OriginCityName String,

    OriginState String,

    OriginStateFips String,

    OriginStateName String,

    OriginWac int,

    DestAirportID int,

    DestAirportSeqID int,

    DestCityMarketID int,

    Dest String,

    DestCityName String,

    DestState String,

    DestStateFips String,

    DestStateName String,

    DestWac int,

    CRSDepTime int,

    DepTime int,

    DepDelay int,

    DepDelayMinutes int,

    DepDel15 int,

    DepartureDelayGroups String,

    DepTimeBlk String,

    TaxiOut int,

    WheelsOff int,

    WheelsOn int,

    TaxiIn int,

    CRSArrTime int,

    ArrTime int,

    ArrDelay int,

    ArrDelayMinutes int,

    ArrDel15 int,

    ArrivalDelayGroups int,

    ArrTimeBlk String,

    Cancelled int,

    CancellationCode String,

    Diverted int,

    CRSElapsedTime int,

    ActualElapsedTime int,

    AirTime int,

    Flights int,

    Distance int,

    DistanceGroup int,

    CarrierDelay int,

    WeatherDelay int,

    NASDelay int,

    SecurityDelay int,

    LateAircraftDelay int,

    FirstDepTime String,

    TotalAddGTime String,

    LongestAddGTime String,

    DivAirportLandings String,

    DivReachedDest String,

    DivActualElapsedTime String,

    DivArrDelay String,

    DivDistance String,

    Div1Airport String,

    Div1AirportID int,

    Div1AirportSeqID int,

    Div1WheelsOn String,

    Div1TotalGTime String,

    Div1LongestGTime String,

    Div1WheelsOff String,

    Div1TailNum String,

    Div2Airport String,

    Div2AirportID int,

    Div2AirportSeqID int,

    Div2WheelsOn String,

    Div2TotalGTime String,

    Div2LongestGTime String,

    Div2WheelsOff String,

    Div2TailNum String,

    Div3Airport String,

    Div3AirportID int,

    Div3AirportSeqID int,

    Div3WheelsOn String,

    Div3TotalGTime String,

    Div3LongestGTime String,

    Div3WheelsOff String,

    Div3TailNum String,

    Div4Airport String,

    Div4AirportID int,

    Div4AirportSeqID int,

    Div4WheelsOn String,

    Div4TotalGTime String,

    Div4LongestGTime String,

    Div4WheelsOff String,

    Div4TailNum String,

    Div5Airport String,

    Div5AirportID int,

    Div5AirportSeqID int,

    Div5WheelsOn String,

    Div5TotalGTime String,

    Div5LongestGTime String,

    Div5WheelsOff String,

    Div5TailNum String

)row format delimited

fields terminated by ','

stored as textfile;

load data inpath ‘/data’into table ontime;

修改hive存储格式
orc

与spark对比测试

创建clickhouse本地表

CREATE TABLE ontime

(

    Year UInt16,

    Quarter UInt8,

    Month UInt8,

    DayofMonth UInt8,

    DayOfWeek UInt8,

    FlightDate Date,

    UniqueCarrier FixedString(7),

    AirlineID Int32,

    Carrier FixedString(2),

    TailNum String,

    FlightNum String,

    OriginAirportID Int32,

    OriginAirportSeqID Int32,

    OriginCityMarketID Int32,

    Origin FixedString(5),

    OriginCityName String,

    OriginState FixedString(2),

    OriginStateFips String,

    OriginStateName String,

    OriginWac Int32,

    DestAirportID Int32,

    DestAirportSeqID Int32,

    DestCityMarketID Int32,

    Dest FixedString(5),

    DestCityName String,

    DestState FixedString(2),

    DestStateFips String,

    DestStateName String,

    DestWac Int32,

    CRSDepTime Int32,

    DepTime Int32,

    DepDelay Int32,

    DepDelayMinutes Int32,

    DepDel15 Int32,

    DepartureDelayGroups String,

    DepTimeBlk String,

    TaxiOut Int32,

    WheelsOff Int32,

    WheelsOn Int32,

    TaxiIn Int32,

    CRSArrTime Int32,

    ArrTime Int32,

    ArrDelay Int32,

    ArrDelayMinutes Int32,

    ArrDel15 Int32,

    ArrivalDelayGroups Int32,

    ArrTimeBlk String,

    Cancelled UInt8,

    CancellationCode FixedString(1),

    Diverted UInt8,

    CRSElapsedTime Int32,

    ActualElapsedTime Int32,

    AirTime Int32,

    Flights Int32,

    Distance Int32,

    DistanceGroup UInt8,

    CarrierDelay Int32,

    WeatherDelay Int32,

    NASDelay Int32,

    SecurityDelay Int32,

    LateAircraftDelay Int32,

    FirstDepTime String,

    TotalAddGTime String,

    LongestAddGTime String,

    DivAirportLandings String,

    DivReachedDest String,

    DivActualElapsedTime String,

    DivArrDelay String,

    DivDistance String,

    Div1Airport String,

    Div1AirportID Int32,

    Div1AirportSeqID Int32,

    Div1WheelsOn String,

    Div1TotalGTime String,

    Div1LongestGTime String,

    Div1WheelsOff String,

    Div1TailNum String,

    Div2Airport String,

    Div2AirportID Int32,

    Div2AirportSeqID Int32,

    Div2WheelsOn String,

    Div2TotalGTime String,

    Div2LongestGTime String,

    Div2WheelsOff String,

    Div2TailNum String,

    Div3Airport String,

    Div3AirportID Int32,

    Div3AirportSeqID Int32,

    Div3WheelsOn String,

    Div3TotalGTime String,

    Div3LongestGTime String,

    Div3WheelsOff String,

    Div3TailNum String,

    Div4Airport String,

    Div4AirportID Int32,

    Div4AirportSeqID Int32,

    Div4WheelsOn String,

    Div4TotalGTime String,

    Div4LongestGTime String,

    Div4WheelsOff String,

    Div4TailNum String,

    Div5Airport String,

    Div5AirportID Int32,

    Div5AirportSeqID Int32,

    Div5WheelsOn String,

    Div5TotalGTime String,

    Div5LongestGTime String,

    Div5WheelsOff String,

    Div5TailNum String

) ENGINE = MergeTree(FlightDate, (Year, FlightDate), 8192)

创建分区表

CREATE TABLE ontimetest AS ontime ENGINE = Distributed(perftest_3shards_1replicas, default, ontime, rand())

注意：

每个节点分别创建本地表，和分区表
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原文地址：https://www.cnblogs.com/tsxylhs/p/7837707.html

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clickhouse安装使用文档

Clickhouse简介

Clickhouse是什么

clickhouse架构及存储方式

clickhouse特点

Clickhouse使用场景

可行的应用程序的一些例子：

不适用场景

clickhouse安装

clickhouse单节点安装

检查系统是否支持clickhouse安装

拉取repo源文件

clickhouse多节点安装

修改host文件

新建文件metrika.xml

修改/etc/clickhouse-server下的config.xml文件

clickhouse使用

简单的使用

DML（data manipulation language）

DDL（data definition language）

性能测试

获取数据

解压上传至click house数据库

创建hive表

创建clickhouse本地表

创建分区表

注意：