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

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

修改配置文件
避免容器重启时，丢失数据文件

#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。

3 clickhouse集群版

3.1. 修改集群配置

将配置、日志放在ch01目录下
修改 D:\\docker\\ch\\ch01\\etc\\clickhouse-server下的config.xml中，删除 <remote_servers>节点并添加如下信息

<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>

新增metrika01.xml文件，内容如下：
考虑到一台笔记本的资源比较有限，所以就安装单个节点的zk, clickhouse的集群也是2分片1副本的。

<?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>

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

<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。

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)

采用将宿主机路径直接挂载到本地，比较直观，但需要管理本地的路径，但这种方式在clickhouse写数据时，会报：Permission denied
使用卷标的方式，比较简洁，但你不知道数据存在本地什么位置，但这种方式在clickhouse写数据时是正常的

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