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docker for windonws之Windows 10 家庭中文版安装clickhouse 22.3版本及配置过程

作者:java编程艺术

这篇文章主要介绍了docker for windonws之Windows 10 家庭中文版安装clickhouse 22.3版本及配置,本文通过图文并茂的形式给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下

1. 拉取镜像

docker pull clickhouse/clickhouse-server:22.3.11.12-alpine

2. clickhouse单机版

2.1. 配置容器

因为如下原因,需要将clickhouse的配置文件及数据目录复制到宿主机

#启动容器
docker run -d --name ch-server --ulimit nofile=262144:262144 clickhouse/clickhouse-server:22.3.11.12-alpine
# 复制文件到宿主机
docker cp ch-server:/etc/clickhouse-server D:/docker/ch/etc/clickhouse-server
docker cp ch-server:/var/lib/clickhouse D:/docker/ch/data
#停止容器
docker stop ch-server
# 再次启动容器
docker run -d --name=single-ch-server -p 8123:8123 -p 9000:9000 -p 9009:9009 --ulimit nofile=262144:262144 -v D:/docker/ch/data:/var/lib/clickhouse:rw -v D:/docker/ch/etc/clickhouse-server:/etc/clickhouse-server:rw clickhouse/clickhouse-server:22.3.11.12-alpine

2.2. 测试jdbc连接

启动成功后,使用DBeaver测试,用户名default,密码为空,则可以正常连接。

在这里插入图片描述

3 clickhouse集群版

3.1. 修改集群配置

	<include_from>/etc/clickhouse-server/metrika01.xml</include_from>
	<remote_servers incl="clickhouse_remote_servers" optional="true"/>
	<zookeeper incl="zookeeper_servers" optional="true"/>
	<macros incl="macros" optional="true"/>
    <!--MergeTree引擎表的数据压缩设置,在metrika.xml-->
    <compression incl="clickhouse_compression"></compression>
<?xml version="1.0"?>
<yandex>
    <clickhouse_remote_servers>
      <cluster01>
            <shard>
                <internal_replication>true</internal_replication>
				<weight>1</weight>
                <replica>
                    <host>ch01</host>
                    <port>9000</port>
                    <user>default</user>
                    <password></password>
                </replica>
            </shard>
			<shard>
                <internal_replication>true</internal_replication>
				<weight>1</weight>
                <replica>
                    <host>ch02</host>
                    <port>9000</port>
                    <user>default</user>
                    <password></password>
                </replica>
            </shard>
		</cluster01>
    </clickhouse_remote_servers>

    <macros>
        <layer>01</layer>
        <shard>01</shard>
        <replica>ch01</replica>
    </macros>

    <zookeeper_servers>
        <node index="1">
            <host>zk01</host>
            <port>2181</port>
        </node>
    </zookeeper_servers>

   <networks>
     <ip>::/0</ip>
   </networks>

  <clickhouse_compression>
    <case>
      <min_part_size>1073741824</min_part_size>
      <min_part_size_ratio>0.01</min_part_size_ratio>
      <method>lz4</method>
    </case>
  </clickhouse_compression>
</yandex>

节点ch02的配置:复制ch01目录,产生ch02目录

修改metrika01.xml,将macros内容调整,其它配置与上面一致。

   <macros>
        <layer>01</layer>
        <shard>02</shard>
        <replica>ch02</replica>
    </macros>

3.2. 编辑docker-compose.yml

采用卷标的方式挂载数据

version: '3.1'
services:
  zookeeper:
    image: zookeeper:3.4.14
    ports:
      - "8181:2181"
      - "8182:2182"
    hostname: zk01
  ch01:
    image: clickhouse/clickhouse-server:22.3.11.12-alpine
    restart: on-failure
    container_name: ch01
    ports:
      - 9000:9000
      - 8123:8123
      - 9009:9009
    volumes:
      - ch1-data:/var/lib/clickhouse
      - D:/docker/ch/ch01/etc/clickhouse-server:/etc/clickhouse-server:rw
      - D:/docker/ch/ch01/log:/var/log/clickhouse-server:rw
    hostname: ch01
    ulimits:
      nofile:
        soft: 262144
        hard: 262144
    depends_on:
      - "zookeeper"
  ch02:
    image: clickhouse/clickhouse-server:22.3.11.12-alpine
    restart: on-failure
    container_name: ch02
    ports:
      - 9800:9000
      - 8823:8123
      - 9809:9009
    volumes:
      - ch2-data:/var/lib/clickhouse
      - D:/docker/ch/ch02/etc/clickhouse-server:/etc/clickhouse-server:rw
      - D:/docker/ch/ch02/log:/var/log/clickhouse-server:rw
    hostname: ch02
    ulimits:
      nofile:
        soft: 262144
        hard: 262144
    depends_on:
      - "zookeeper"
volumes:
  ch1-data:
  ch2-data:

3.3. 启动CH集群

docker-compose up -d

3.4. 测试

create database test on cluster cluster01;
use test;
create table events_local on cluster cluster01 (
	ID String,
	EventType UInt8,
	URL String,
	EventTime DateTime
) ENGINE = MergeTree()
PARTITION BY toStartOfDay(EventTime)
ORDER BY (EventTime,EventType)
SETTINGS index_granularity = 8192;

create table events on cluster cluster01 as test.events_local ENGINE = Distributed('cluster01', 'test', 'events_local', rand());

insert into events(ID,EventType,URL,EventTime) values ('11',1,'http://www.baidu.com','2021-12-20 12:00:00');
insert into events(ID,EventType,URL,EventTime) values ('12',1,'http://www.baidu.com','2021-12-20 12:00:00');
insert into events(ID,EventType,URL,EventTime) values ('13',1,'http://www.baidu.com','2021-12-20 12:00:00');
insert into events(ID,EventType,URL,EventTime) values ('14',1,'http://www.baidu.com','2021-12-20 12:00:00');
insert into events(ID,EventType,URL,EventTime) values ('15',1,'http://www.baidu.com','2021-12-20 12:00:00');
insert into events(ID,EventType,URL,EventTime) values ('16',1,'http://www.baidu.com','2021-12-20 12:00:00');

4. 存在的解决问题

4.1. Permission denied

将Clickhouse的数据目录放在宿主机时,在插入数据时报如下错误,但如果不放在宿主机,则数据会丢失。

Received exception from server (version 22.3.11):
Code: 1001. DB::Exception: Received from localhost:9000. DB::Exception: std::__1::__fs::filesystem::filesystem_error: filesystem error: in rename: Permission denied [/var/lib/clickhouse/store/0d4/0d4a6f52-b3a6-4496-8174-e03ae9503321/tmp_insert_1639958400_1_1_0/] [/var/lib/clickhouse/store/0d4/0d4a6f52-b3a6-4496-8174-e03ae9503321/1639958400_1_1_0/]. (STD_EXCEPTION)

目前不清楚具体的原因,如果你知道,烦请告知。 4.2. Ports are not available

报错信息:Error response from daemon: Ports are not available: exposing port TCP 0.0.0.0:8848 -> 0.0.0.0:0: listen tcp 0.0.0.0:8848: bind: An attempt was made to access a socket in a way forbidden by its access permissions.

通过cmd命令查看哪些端口被禁用TCP协议

netsh interface ipv4 show excludedportrange protocol=tcp

将docker启动命令中的宿主机端口改成禁用之外的就可以了

在这里插入图片描述

到此这篇关于docker for windonws之Windows 10 家庭中文版安装clickhouse 22.3版本及配置的文章就介绍到这了,更多相关Windows 10安装clickhouse内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

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