clickhouse2分片2副本高可用集群搭建及chproxy代理配置使用

clickhouse集群是表级别的，在节点层面上clickhouse每个节点都是独立的, 即使组成集群了也是独立的，所以永远只能连接到clickhouse的单节点上。可以类比redis，有点像是积木，可以按配置文件随意组装。只要各节点上安装clickhouse单机之后再配置config.xml和/etc/metrika.xml将其他节点的连接信息以及分片和副本情况配置好就可以了。

1. 安装clickhouse单机

参考ClickHouse单节点部署 https://blog.csdn.net/shy_snow/article/details/123477519
修改config.xml
2. ## 安装zookeeper
参考zookeeper集群安装部署https://blog.csdn.net/shy_snow/article/details/124547559
zookeeper的连接信息需要配置到clickhouse的config.xml中
3. ## /etc/metrika.xml集群配置
因为我有106-109四台机器每个上面有一个clickhouse,所以我选择组成2shard分片2replicas副本集群。
副本： clickhouse的复制表会将数据同步到所有副本中,通过2副本可以在单节点故障时,其他节点中另一个副本还在,就可以保证数据安全,不丢失。
分片：分片是将一个表的记录切分到各分片中。
clickhouse单机配置config.xml中可以使用incl来包含 /etc/metrika.xml中的配置,
vi /etc/clickhouse-server/config.xml
在clickhouse标签中增加

<include_from>/etc/metrika.xml</include_from>

<!-- zookeeper用于复制表的同步 -->
     <zookeeper>
        <node>
            <host>zk1</host>
            <port>2181</port>
        </node>
        <node>
            <host>zk2</host>
            <port>2181</port>
        </node>
        <node>
            <host>zk3</host>
            <port>2181</port>
        </node>    
    </zookeeper>
<remote_servers incl="clickhouse_remote_servers" />
<macros incl="macros" optional="true" />

vi /etc/metrika.xml

<yandex>
	<clickhouse_remote_servers> 
	<!-- cluster_2shards_2replicas标签名就是集群名可以自定义, 查询cluster集群名称 select * from system.clusters; 2分片2副本 2副本中一个节点故障时另外一个节点上还有完整副本数据 -->
		<cluster_2shards_2replicas>
			<shard> <!-- shard1 -->
				<internal_replication>true</internal_replication>
				<replica>
					<host>192.168.129.106</host>
					<port>9000</port>
          <user>default</user>
          <password></password>
				</replica>
				<replica>
					<host>192.168.129.108</host>
					<port>9000</port>
          <user>default</user>
          <password></password>
				</replica>
			</shard>
			<!-- shard2 -->
			<shard>
				<internal_replication>true</internal_replication>				
				<replica>
					<host>192.168.129.107</host>
					<port>9000</port>
          <user>default</user>
          <password></password>
				</replica>
				<replica>
					<host>192.168.129.109</host>
					<port>9000</port>
          <user>default</user>
          <password></password>
				</replica>
			</shard>
		</cluster_2shards_2replicas>
	</clickhouse_remote_servers> 
	    
  <!-- macros需每个节点不同配置,建复制表时会使用macros中配置的变量值 -->
  <!-- 查询macros配置查询到说明配置成功 SELECT * FROM system.macros; -->
	<macros>
		<shard>02</shard>
		<replica>host107</replica>
	</macros>
	<networks>
		<ip>::/0</ip>
	</networks> 
	<!-- 配置压缩 -->
	<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>

复制metrika.xml到各节点上之后需要修改各节点metrika.xml文件macros下的replica的值,各节点需要不同,可以使用集群中的host值。

4. 分布式复制表创建测试

-- 查询cluster集群名称 比如cluster_2shards_2replicas
select * from system.clusters;
SELECT * FROM system.macros;

drop database if exists test on cluster cluster_2shards_2replicas ;
-- 建本地表(on cluster 会在集群的各个节点上建表, 但是insert数据只会在当前节点)
drop table if exists test.cmtest on cluster cluster_2shards_2replicas;
-- 复制表
CREATE TABLE test.cmtest on cluster cluster_2shards_2replicas (
`id` String COMMENT 'id', `nginxTime` DateTime COMMENT 'nginxTime' 
) ENGINE = ReplicatedMergeTree() partition by toYYYYMMDD(nginxTime) primary key (id) ORDER BY (id);
-- ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/st_order_mt','{replica}')
-- 
drop table if exists test.cmtest_dist on cluster cluster_2shards_2replicas;
-- 分布式表,类似视图,不保存数据,但是查询时会合并各本地表的数据,插入时会根据策略均衡到各节点;
create TABLE test.cmtest_dist on cluster cluster_2shards_2replicas as test.cmtest
ENGINE = Distributed("cluster_2shards_2replicas", "test", "cmtest", rand());
-- 对本地insert只插入到本地
insert into test.cmtest  values ('109',now());
-- 对分布式表插入会根据规则路由到某个节点
insert into test.cmtest  values ('1004000',now()+3600*24);
-- 本地表只查询到当前节点上的数据
select * from test.cmtest;
-- 对分布式表的查询会查询到所有节点上的数据
select * from test.cmtest_dist;
-- 删除分布式表不会删除数据,重新创建分布式表后仍然可以查询到全量数据
drop table if exists test.cmtest_dist on cluster cluster_2shards_2replicas;
-- 删除本地表表会删除数据
drop table if exists test.cmtest on cluster cluster_2shards_2replicas;
drop database if exists test on cluster cluster_2shards_2replicas ;

5. chproxy配置统一代理使用

下载chproxy
https://github.com/ContentSquare/chproxy/releases

chproxy是clickhouse官方推荐的代理工具, 只需要配置config.yml即可,chproxy官网地址https://www.chproxy.org/cn
config.yml的配置示例

vi config.yml
#o
server:
  http:
      listen_addr: ":9090"
      allowed_networks: ["192.168.0.0/16","2.0.0.0/16"]

users:
  - name: "clickhouse"
    password: "123456"
    to_cluster: "cluster_2shards_2replicas"
    to_user: "default"

clusters:
  - name: "cluster_2shards_2replicas"
    replicas:
    - name: "replica1"
      nodes: ["192.168.129.106:8123","192.168.129.107:8123"]
    - name: "replica2"
      nodes: ["192.168.129.108:8123","192.168.129.109:8123"]

    users:
      - name: "default"
        password: ""
        max_concurrent_queries: 8
        max_execution_time: 2m

如果没有副本可以不配置replicas,因为我这里有副本所以配置了replicas,replicas的节点可以参考下面的图.

chproxy解压、启停、热加载config.yml

tar -zxvf chproxy_1.15.1_linux_amd64.tar.gz
chmod +x chproxy
#启动
./chproxy -config=/usr/local/chproxy/config.yml
# 不停止chproxy重启热加载config.yml,想chproxy进程发送SIGHUP信号即可
kill -sighup pid
ps -ef | grep chproxy |grep -v grep | head -1 | awk '{print $2}' | xargs  kill -sighup 
# 停止,直接kill掉chproxy进程
ps -ef | grep chproxy |grep -v grep | head -1 | awk '{print $2}' | xargs kill

killChproxy.sh

pid=`ps -ef | grep chproxy |grep -v grep | head -1 | awk '{print $2}'`
if [ -z "$pid" ];then
        echo "No found pid."
        exit 1
fi
echo "kill ${pid}"
kill $pid

reloadConfig.sh

ps -ef | grep chproxy |grep -v grep | head -1 | awk '{print $2}' | xargs  kill -sighup 

6. 参考
   https://blog.csdn.net/weixin_37692493/article/details/114452689
   chproxy官网https://www.chproxy.org/cn
   https://blog.csdn.net/Jason_light/article/details/120888679
   https://blog.csdn.net/iceyung/article/details/107524922