Windows 10安装clickhouse
java编程艺术 人气:01. 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> <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)
- 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
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