ClickHouse集群搭建（二）

头像
java干货
    阅读 29 分钟
    3
    重叠泪痕缄锦字，人生只有情难死。

    分布式集群安装

    在上一章我们已经完成ClickHouse分布式集群安装，也创建本地表和分布式表进行了测试，但是，假如停掉一个节点会发生神马情况？

    node03上kill掉clickhouse-server进程

    [root@node03 ~]# ps -ef | grep clickhouse
clickho+  2233     1 73 13:07 ?        00:00:02 clickhouse-server --daemon --pid-file=/var/run/clickhouse-server/clickhouse-server.pid --config-file=/etc/clickhouse-server/config.xml
root      2306  1751  0 13:07 pts/0    00:00:00 grep --color=auto clickhouse
[root@node03 ~]# service clickhouse-server stop
Stop clickhouse-server service: DONE
[root@node03 ~]# ps -ef | grep clickhouse
root      2337  1751  0 13:07 pts/0    00:00:00 grep --color=auto clickhouse

    node01上查询分布式表

    node01 :) select * from cluster3s1r_all; # node03没有被杀掉时

SELECT *
FROM cluster3s1r_all

┌─id─┬─website─────────────────┬─wechat─────┬─FlightDate─┬─Year─┐
│  2 │ http://www.merryyou.cn/ │ javaganhuo │ 2020-11-28 │ 2020 │
└────┴─────────────────────────┴────────────┴────────────┴──────┘
┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘
┌─id─┬─website──────────────┬─wechat─┬─FlightDate─┬─Year─┐
│  3 │ http://www.xxxxx.cn/ │ xxxxx  │ 2020-11-28 │ 2020 │
└────┴──────────────────────┴────────┴────────────┴──────┘

3 rows in set. Elapsed: 0.037 sec. 

node01 :) select * from cluster3s1r_all; # node03节点被杀掉时

SELECT *
FROM cluster3s1r_all

┌─id─┬─website─────────────────┬─wechat─────┬─FlightDate─┬─Year─┐
│  2 │ http://www.merryyou.cn/ │ javaganhuo │ 2020-11-28 │ 2020 │
└────┴─────────────────────────┴────────────┴────────────┴──────┘
↘ Progress: 1.00 rows, 59.00 B (8.87 rows/s., 523.62 B/s.)  0%
Received exception from server (version 20.8.3):
Code: 279. DB::Exception: Received from localhost:9000. DB::Exception: All connection tries failed. Log: 

Code: 32, e.displayText() = DB::Exception: Attempt to read after eof (version 20.8.3.18)
Code: 210, e.displayText() = DB::NetException: Connection refused (node03:9000) (version 20.8.3.18)
Code: 210, e.displayText() = DB::NetException: Connection refused (node03:9000) (version 20.8.3.18)

: While executing Remote. 

1 rows in set. Elapsed: 0.114 sec.

    只返回了node01节点上的数据，node03节点上的两条数据丢失。

    数据备份

    但在ClickHouse中，replica是挂在shard上的，因此要用多副本，必须先定义shard。

    最简单的情况：1个分片多个副本。

    修改metrika.xml文件

    node01 上修改 /etc/clickhouse-server/metrika.xml集群配置文件

    <yandex>
<!-- 集群配置 -->
<clickhouse_remote_servers>
    <!-- 1分片2备份 -->
    <cluster_1shards_2replicas>
        <!-- 数据分片1  -->
        <shard>
        <!-- false代表一次性写入所有副本，true表示写入其中一个副本，配合zk来进行数据复制 -->
        <internal_replication>false</internal_replication>
            <replica>
                <host>node01</host>
                <port>9000</port>
            </replica>
            <replica>
                <host>node02</host>
                <port>9000</port>
            </replica>    
        </shard>
    </cluster_1shards_2replicas>
</clickhouse_remote_servers>
</yandex>

    将修改后的配置分发到node02机器上

    [root@node01 clickhouse-server]# scp /etc/clickhouse-server/metrika.xml node02:$PWD
metrika.xml                                                                                                                                                  100%  674   618.9KB/s   00:00

    如果配置文件没有问题，是不用重启clickhouse-server的，会自动加载配置文件，node01上查看集群信息

    [root@node01 clickhouse-server]# clickhouse-client -m
ClickHouse client version 20.8.3.18.
Connecting to localhost:9000 as user default.
Connected to ClickHouse server version 20.8.3 revision 54438.

node01 :) select * from system.clusters;

SELECT *
FROM system.clusters

┌─cluster───────────────────────────┬─shard_num─┬─shard_weight─┬─replica_num─┬─host_name─┬─host_address───┬─port─┬─is_local─┬─user────┬─default_database─┬─errors_count─┬─estimated_recovery_time─┐
│ cluster_1shards_2replicas         │         1 │            1 │           1 │ node01    │ 192.168.10.100 │ 9000 │        1 │ default │                  │            0 │                       0 │
│ cluster_1shards_2replicas         │         1 │            1 │           2 │ node02    │ 192.168.10.110 │ 9000 │        0 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards           │         1 │            1 │           1 │ 127.0.0.1 │ 127.0.0.1      │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards           │         2 │            1 │           1 │ 127.0.0.2 │ 127.0.0.2      │ 9000 │        0 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards_localhost │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards_localhost │         2 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_shard_localhost              │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_shard_localhost_secure       │         1 │            1 │           1 │ localhost │ ::1            │ 9440 │        0 │ default │                  │            0 │                       0 │
│ test_unavailable_shard            │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_unavailable_shard            │         2 │            1 │           1 │ localhost │ ::1            │    1 │        0 │ default │                  │            0 │                       0 │
└───────────────────────────────────┴───────────┴──────────────┴─────────────┴───────────┴────────────────┴──────┴──────────┴─────────┴──────────────────┴──────────────┴─────────────────────────┘

10 rows in set. Elapsed: 0.018 sec.

    测试数据备份

    在node01和node02上分别创建本地表cluster1s2r_local

    CREATE TABLE default.cluster1s2r_local
(
    `id` Int32,
    `website` String,
    `wechat` String,
    `FlightDate` Date,
    Year UInt16
)
ENGINE = MergeTree(FlightDate, (Year, FlightDate), 8192);

    在node01机器上创建分布式表,注意集群名称

    CREATE TABLE default.cluster1s2r_all AS cluster1s2r_local
ENGINE = Distributed(cluster_1shards_2replicas, default, cluster1s2r_local, rand());

    往分布式表cluster1s2r_all插入数据,cluster1s2r_all 会全部插入到node01和node02节点的cluster1s2r_local里

    插入数据

    INSERT INTO default.cluster1s2r_all (id,website,wechat,FlightDate,Year)values(1,'https://niocoder.com/','java干货','2020-11-28',2020);
INSERT INTO default.cluster1s2r_all (id,website,wechat,FlightDate,Year)values(2,'http://www.merryyou.cn/','javaganhuo','2020-11-28',2020);
INSERT INTO default.cluster1s2r_all (id,website,wechat,FlightDate,Year)values(3,'http://www.xxxxx.cn/','xxxxx','2020-11-28',2020);

    查询分布式表和本地表

    node01 :) select * from cluster1s2r_all; # 查询分布式表

SELECT *
FROM cluster1s2r_all

┌─id─┬─website──────────────┬─wechat─┬─FlightDate─┬─Year─┐
│  3 │ http://www.xxxxx.cn/ │ xxxxx  │ 2020-11-28 │ 2020 │
└────┴──────────────────────┴────────┴────────────┴──────┘
┌─id─┬─website─────────────────┬─wechat─────┬─FlightDate─┬─Year─┐
│  2 │ http://www.merryyou.cn/ │ javaganhuo │ 2020-11-28 │ 2020 │
└────┴─────────────────────────┴────────────┴────────────┴──────┘
┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘

3 rows in set. Elapsed: 0.018 sec. 

node01 :) select * from cluster1s2r_local; # node01节点查询本地表

SELECT *
FROM cluster1s2r_local

┌─id─┬─website─────────────────┬─wechat─────┬─FlightDate─┬─Year─┐
│  2 │ http://www.merryyou.cn/ │ javaganhuo │ 2020-11-28 │ 2020 │
└────┴─────────────────────────┴────────────┴────────────┴──────┘
┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘
┌─id─┬─website──────────────┬─wechat─┬─FlightDate─┬─Year─┐
│  3 │ http://www.xxxxx.cn/ │ xxxxx  │ 2020-11-28 │ 2020 │
└────┴──────────────────────┴────────┴────────────┴──────┘

3 rows in set. Elapsed: 0.015 sec. 

node02 :)  select * from cluster1s2r_local;  # node02节点查询本地表

SELECT *
FROM cluster1s2r_local

┌─id─┬─website─────────────────┬─wechat─────┬─FlightDate─┬─Year─┐
│  2 │ http://www.merryyou.cn/ │ javaganhuo │ 2020-11-28 │ 2020 │
└────┴─────────────────────────┴────────────┴────────────┴──────┘
┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘
┌─id─┬─website──────────────┬─wechat─┬─FlightDate─┬─Year─┐
│  3 │ http://www.xxxxx.cn/ │ xxxxx  │ 2020-11-28 │ 2020 │
└────┴──────────────────────┴────────┴────────────┴──────┘

3 rows in set. Elapsed: 0.007 sec.

    查询node01和node02本地表cluster1s2r_local都是全量数据， 即使sotp到其中一个节点数据也不会丢失，数据副本已经生效。

    数据副本一致性问题

    既然有多副本，就有个一致性的问题：加入写入数据时，挂掉一台机器，会怎样？

    模拟写入分布式表是某一个节点down机

    1. 停掉node02节点服务
      service clickhouse-server stop
    2. 在node01节点上向分布式表cluster1s2r_all插入数据

      sql INSERT INTO default.cluster1s2r_all (id,website,wechat,FlightDate,Year)values(4,'http://www.yyyyyy.cn/','yyyyy','2020-11-29',2020);

    3. 启动node02节点服务
    4. 查询验证是否同步
      查看node01和node02机器的cluster1s2r_local、以及cluster1s2r_all，发现都是总数据量都增加了1条，说明这种情况下，集群节点之间能够自动同步

    上面是通过向分布式表cluster1s2r_all插入数据，如果通过本地表cluster1s2r_local，数据还能同步吗？

    1. 在node01上往cluster1s2r_local插入1条数据；
    2. 查询node02，cluster1s2r_local数据没有同步

    综上所述，通过分布表写入数据，会自动同步数据；而通过本地表表写入数据，不会同步；一般i情况下是没什么大问题。

    但是生产情况总比理论复杂的多，以上配置可能会存在数据不一致的问题

    官方文档描述如下：

    Each shard can have the internal_replication parameter defined in the config file.

If this parameter is set to true, the write operation selects the first healthy replica and writes data to it. Use this alternative if the Distributed table “looks at” replicated tables. In other words, if the table where data will be written is going to replicate them itself.

If it is set to false (the default), data is written to all replicas. In essence, this means that the Distributed table replicates data itself. This is worse than using replicated tables, because the consistency of replicas is not checked, and over time they will contain slightly different data.

    翻译如下：

    分片可在配置文件中定义 ‘internal_replication’ 参数。

此参数设置为«true»时，写操作只选一个正常的副本写入数据。如果分布式表的子表是复制表(*ReplicaMergeTree)，请使用此方案。换句话说，这其实是把数据的复制工作交给实际需要写入数据的表本身而不是分布式表。

若此参数设置为«false»（默认值），写操作会将数据写入所有副本。实质上，这意味着要分布式表本身来复制数据。这种方式不如使用复制表的好，因为不会检查副本的一致性，并且随着时间的推移，副本数据可能会有些不一样。

    简单理解如下：

    这个为true代表zk会挑选一个合适的节点写入,然后在后台进行多个节点之间数据的同步.
如果是false,则是一次性写入所有节点,以这种重复写入的方法实现节点之间数据的同步.

    自动数据备份

    自动数据备份是表的行为，引擎为 ReplicatedXXX的表支持自动同步。

    Replicated前缀只用于MergeTree系列（MergeTree是最常用的引擎）。

    重点说明： Replicated表自动同步与之前的集群自动同步不同，是表的行为，与metrika.xml中的<clickhouse_remote_servers>配置没有关系，只要有zookeeper配置就行了。

    node01修改metrika.xml配置

    <yandex>
<zookeeper-servers>
        <node index="1">
            <host>node01</host>
            <port>2181</port>
        </node>
        <node index="2">
            <host>node02</host>
            <port>2181</port>
        </node>
        <node index="3">
            <host>node03</host>
            <port>2181</port>
        </node>
    </zookeeper-servers>
</yandex>

    将修改后的配置分发到node02机器上

    [root@node01 clickhouse-server]# scp /etc/clickhouse-server/metrika.xml node02:$PWD
metrika.xml   

重启`clickhouse-server`,由于之前的表存在导致启动是失败。`error`日志

​```shell
[root@node01 clickhouse-server]# tail -f /var/log/clickhouse-server/clickhouse-server.err.log 
7. DB::StorageDistributed::startup() @ 0x10f1bd40 in /usr/bin/clickhouse
8. ? @ 0x1151d922 in /usr/bin/clickhouse
9. ThreadPoolImpl<ThreadFromGlobalPool>::worker(std::__1::__list_iterator<ThreadFromGlobalPool, void*>) @ 0xa43d6ad in /usr/bin/clickhouse
10. ThreadFromGlobalPool::ThreadFromGlobalPool<void ThreadPoolImpl<ThreadFromGlobalPool>::scheduleImpl<void>(std::__1::function<void ()>, int, std::__1::optional<unsigned long>)::'lambda1'()>(void&&, void ThreadPoolImpl<ThreadFromGlobalPool>::scheduleImpl<void>(std::__1::function<void ()>, int, std::__1::optional<unsigned long>)::'lambda1'()&&...)::'lambda'()::operator()() const @ 0xa43dd93 in /usr/bin/clickhouse
11. ThreadPoolImpl<std::__1::thread>::worker(std::__1::__list_iterator<std::__1::thread, void*>) @ 0xa43cc4d in /usr/bin/clickhouse
12. ? @ 0xa43b3ff in /usr/bin/clickhouse
13. start_thread @ 0x7ea5 in /usr/lib64/libpthread-2.17.so
14. clone @ 0xfe8dd in /usr/lib64/libc-2.17.so
 (version 20.8.3.18)
2020.11.29 14:43:01.163530 [ 3643 ] {} <Error> Application: DB::Exception: Requested cluster 'cluster_1shards_2replicas' not found: while loading database `default` from path /var/lib/clickhouse/metadata/default

    删除之前的建表语句

    [root@node01 default]# rm -rf /var/lib/clickhouse/metadata/default/*.sql

    启动clickhouse-server

    在node01和node02节点上创建数据库表

    -- node01 节点
CREATE TABLE `cluster_zk` 
    (
    `id` Int32,
    `website` String,
    `wechat` String,
    `FlightDate` Date,
    Year UInt16
)
 ENGINE = ReplicatedMergeTree('/clickhouse/tables/cluster_zk', 'replica01', FlightDate, (Year, FlightDate), 8192);

-- node02节点
CREATE TABLE `cluster_zk` 
    (
    `id` Int32,
    `website` String,
    `wechat` String,
    `FlightDate` Date,
    Year UInt16
)
ENGINE = ReplicatedMergeTree('/clickhouse/tables/cluster_zk', 'replica02', FlightDate, (Year, FlightDate), 8192);

    node01节点上插入数据

    INSERT INTO default.cluster_zk (id,website,wechat,FlightDate,Year)values(1,'https://niocoder.com/','java干货','2020-11-28',2020);

    node01,node02节点上查询数据

    
node01 :) select * from cluster_zk; # node01节点

SELECT *
FROM cluster_zk

┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘

1 rows in set. Elapsed: 0.004 sec. 

node02 :) select * from cluster_zk; # node02节点

SELECT *
FROM cluster_zk

┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘

1 rows in set. Elapsed: 0.004 sec.

    查询zk信息

    [zk: localhost:2181(CONNECTED) 2] ls /clickhouse/tables/cluster_zk/replicas
[replica02, replica01]
[zk: localhost:2181(CONNECTED) 3]

    自动数据备份集群配置

    node01修改metrika.xml配置, 注意此处internal_replication为true

    <yandex>
<clickhouse_remote_servers>
    <perftest_1shards_2replicas>
                <shard>
                    <internal_replication>true</internal_replication>
                    <replica>
                        <host>node01</host>
                        <port>9000</port>
                    </replica>
                    <replica>
                        <host>node02</host>
                        <port>9000</port>
                    </replica>
                </shard>
    </perftest_1shards_2replicas>
</clickhouse_remote_servers>
<zookeeper-servers>
        <node index="1">
            <host>node01</host>
            <port>2181</port>
        </node>
        <node index="2">
            <host>node02</host>
            <port>2181</port>
        </node>
        <node index="3">
            <host>node03</host>
            <port>2181</port>
        </node>
    </zookeeper-servers>
</yandex>

    将修改后的配置分发到node02机器上

    [root@node01 clickhouse-server]# scp /etc/clickhouse-server/metrika.xml node02:$PWD
metrika.xml

    查询集群信息

    node01 :) select * from system.clusters;

SELECT *
FROM system.clusters

┌─cluster───────────────────────────┬─shard_num─┬─shard_weight─┬─replica_num─┬─host_name─┬─host_address───┬─port─┬─is_local─┬─user────┬─default_database─┬─errors_count─┬─estimated_recovery_time─┐
│ perftest_1shards_2replicas        │         1 │            1 │           1 │ node01    │ 192.168.10.100 │ 9000 │        1 │ default │                  │            0 │                       0 │
│ perftest_1shards_2replicas        │         1 │            1 │           2 │ node02    │ 192.168.10.110 │ 9000 │        0 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards           │         1 │            1 │           1 │ 127.0.0.1 │ 127.0.0.1      │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards           │         2 │            1 │           1 │ 127.0.0.2 │ 127.0.0.2      │ 9000 │        0 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards_localhost │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards_localhost │         2 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_shard_localhost              │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_shard_localhost_secure       │         1 │            1 │           1 │ localhost │ ::1            │ 9440 │        0 │ default │                  │            0 │                       0 │
│ test_unavailable_shard            │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_unavailable_shard            │         2 │            1 │           1 │ localhost │ ::1            │    1 │        0 │ default │                  │            0 │                       0 │
└───────────────────────────────────┴───────────┴──────────────┴─────────────┴───────────┴────────────────┴──────┴──────────┴─────────┴──────────────────┴──────────────┴─────────────────────────┘

10 rows in set. Elapsed: 0.018 sec.

    创建分布式表

    CREATE TABLE default.clusterzk_all AS cluster_zk
ENGINE = Distributed(perftest_1shards_2replicas, default, cluster_zk, rand());

    分布式表查询数据

    ode01 :) select * from clusterzk_all;

SELECT *
FROM clusterzk_all

┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘

1 rows in set. Elapsed: 0.020 sec.

    分布式表写入

    上文已经提到，internal_replication为true，则通过分布表写入数据时，会自动找到“最健康”的副本写入，然后其他副本通过表自身的复制功能同步数据，最终达到数据一致。

    分片+数据备份整合

    ip主机clickhouse分片副本
    192.168.10.100node01900001/01
    192.168.10.100node01900103/02
    192.168.10.100node02900002/01
    192.168.10.100node02900101/02
    192.168.10.100node03900003/01
    192.168.10.100node03900102/02

    3分片2副本.

    在node01,node02,node03的9001端口再启动一个clickhouse-server实例。

    即shard1的两个副本放到node01 9000、node02 9001两个机器上，shard2的两个副本放到node02 9000、node03 9001上，shard3的两个副本放到node03 9000、node01 9001上.

    node01创建并修改config1.xml

    [root@node01 clickhouse-server]# cp /etc/clickhouse-server/config.xml  /etc/clickhouse-server/config1.xml
[root@node01 clickhouse-server]# vim /etc/clickhouse-server/config1.xml

    修改以下内容

    <?xml version="1.0"?>
<yandex>
    <!--省略其他 -->
    <http_port>8124</http_port>
    <tcp_port>9001</tcp_port>
    <mysql_port>9005</mysql_port>
    <interserver_http_port>9010</interserver_http_port>
     <log>/var/log/clickhouse-server/clickhouse-server-1.log</log>
        <errorlog>/var/log/clickhouse-server/clickhouse-server.err-1.log</errorlog>
     <!-- Path to data directory, with trailing slash. -->
    <path>/var/lib/clickhouse1/</path>
    <!-- Path to temporary data for processing hard queries. -->
    <tmp_path>/var/lib/clickhouse1/tmp/</tmp_path>
     <user_files_path>/var/lib/clickhouse1/user_files/</user_files_path>
     <format_schema_path>/var/lib/clickhouse1/format_schemas/</format_schema_path>
    <include_from>/etc/clickhouse-server/metrika1.xml</include_from>
     <!--省略其他 -->
</yandex>

    node01创建并修改metrika.xml

    <yandex>
<!--ck集群节点-->
<clickhouse_remote_servers>
    <!--ck集群名称-->
    <perftest_3shards_2replicas>
        <shard>
             <internal_replication>true</internal_replication>
            <replica>
                <host>node01</host>
                <port>9000</port>
            </replica>
        <replica>
                <host>node02</host>
                <port>9001</port>
            </replica>
        </shard>
        <shard>
       <internal_replication>true</internal_replication>
            <replica>
                <host>node02</host>
                <port>9000</port>
            </replica>
        <replica>
                <host>node03</host>
                <port>9001</port>
            </replica>
        </shard>
        <shard>
            <internal_replication>true</internal_replication>
            <replica>
                <host>node03</host>
                <port>9000</port>
            </replica>
        <replica>
                <host>node01</host>
                <port>9001</port>
            </replica>
        </shard>
    </perftest_3shards_2replicas>
</clickhouse_remote_servers>

<!--zookeeper相关配置-->
<zookeeper-servers>
    <node index="1">
        <host>node01</host>
        <port>2181</port>
    </node>
    <node index="2">
        <host>node02</host>
        <port>2181</port>
    </node>
    <node index="3">
        <host>node03</host>
        <port>2181</port>
    </node>
</zookeeper-servers>

<macros>
    <shard>01</shard>  <!--分ID, 同一分片内的副本配置相同的分ID-->
    <replica>node01</replica> <!--当前节点主机名-->
</macros>

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

<!--压缩相关配置-->
<clickhouse_compression>
    <case>
        <min_part_size>10000000000</min_part_size>
        <min_part_size_ratio>0.01</min_part_size_ratio>
        <method>lz4</method> <!--压缩算法lz4压缩比zstd快, 更占磁盘-->
    </case>
</clickhouse_compression>
</yandex>

    复制metrika.xml文件为metrika1.xml，修改macros配置

    node01`metrika.xml`macros配置
    <macros>
    <shard>01</shard>  <!--分ID, 同一分片内的副本配置相同的分ID-->
    <replica>node01</replica> <!--当前节点主机名-->
</macros>
    node01`metrika1.xml`macros配置
    <macros>
    <shard>03</shard>  <!--分ID, 同一分片内的副本配置相同的分ID-->
    <replica>node01</replica> <!--当前节点主机名-->
</macros>
    node02`metrika.xml`macros配置
    <macros>
    <shard>02</shard>  <!--分ID, 同一分片内的副本配置相同的分ID-->
    <replica>node02</replica> <!--当前节点主机名-->
</macros>
    node02`metrika1.xml`macros配置
    <macros>
    <shard>01</shard>  <!--分ID, 同一分片内的副本配置相同的分ID-->
    <replica>node02</replica> <!--当前节点主机名-->
</macros>
    node03`metrika.xml`macros配置
    <macros>
    <shard>03</shard>  <!--分ID, 同一分片内的副本配置相同的分ID-->
    <replica>node03</replica> <!--当前节点主机名-->
</macros>
    node03`metrika.1xml`macros配置
    <macros>
    <shard>02</shard>  <!--分ID, 同一分片内的副本配置相同的分ID-->
    <replica>node03</replica> <!--当前节点主机名-->
</macros>

    创建并修改clickhouse-server-1

    [root@node01 clickhouse-server]# cp /etc/rc.d/init.d/clickhouse-server  /etc/rc.d/init.d/clickhouse-server-1
You have new mail in /var/spool/mail/root
[root@node01 clickhouse-server]# vim  /etc/rc.d/init.d/clickhouse-server-1

    修改以下内容

    CLICKHOUSE_CONFIG=$CLICKHOUSE_CONFDIR/config1.xml
CLICKHOUSE_PIDFILE="$CLICKHOUSE_PIDDIR/$PROGRAM-1.pid"

    分发配置文件到node02和node03节点

    [root@node01 clickhouse-server]# scp /etc/rc.d/init.d/clickhouse-server-1 node02:/etc/rc.d/init.d/
clickhouse-server-1                                                                                                                                          100%   11KB   4.0MB/s   00:00    
You have new mail in /var/spool/mail/root
[root@node01 clickhouse-server]# scp /etc/rc.d/init.d/clickhouse-server-1 node03:/etc/rc.d/init.d/
clickhouse-server-1                                                                                                                                          100%   11KB   4.0MB/s   00:00    

[root@node01 clickhouse-server]# scp /etc/clickhouse-server/config1.xml node02:$PWD
config1.xml                                                                                                                                                  100%   33KB  10.2MB/s   00:00    
[root@node01 clickhouse-server]# scp /etc/clickhouse-server/config1.xml node03:$PWD
config1.xml                                                                                                                                                  100%   33KB   9.7MB/s   00:00   
[root@node01 clickhouse-server]# scp /etc/clickhouse-server/metrika.xml node02:$PWD
metrika.xml                                                                                                                                                  100% 2008     1.0MB/s   00:00    
You have new mail in /var/spool/mail/root
[root@node01 clickhouse-server]# scp /etc/clickhouse-server/metrika.xml node03:$PWD
metrika.xml                                                                                                                                                  100% 2008     1.1MB/s   00:00    
[root@node01 clickhouse-server]# 
[root@node01 clickhouse-server]# scp /etc/clickhouse-server/metrika1.xml node02:$PWD
metrika1.xml                                                                                                                                                 100% 2008     1.0MB/s   00:00    
[root@node01 clickhouse-server]# scp /etc/clickhouse-server/metrika1.xml node03:$PWD
metrika1.xml

    修改node02和node03的macros配置

    启动ClickHouse实例

    node01的clickhouse-server-1实例

    node02的clickhouse-server-1实例

    node03的clickhouse-server实例

    node03的clickhouse-server-1实例

    service clickhouse-server restart
service clickhouse-server-1 restart

    查看集群信息

    node01 :) select * from system.clusters;

SELECT *
FROM system.clusters

┌─cluster───────────────────────────┬─shard_num─┬─shard_weight─┬─replica_num─┬─host_name─┬─host_address───┬─port─┬─is_local─┬─user────┬─default_database─┬─errors_count─┬─estimated_recovery_time─┐
│ perftest_3shards_2replicas        │         1 │            1 │           1 │ node01    │ 192.168.10.100 │ 9000 │        1 │ default │                  │            0 │                       0 │
│ perftest_3shards_2replicas        │         1 │            1 │           2 │ node02    │ 192.168.10.110 │ 9001 │        0 │ default │                  │            0 │                       0 │
│ perftest_3shards_2replicas        │         2 │            1 │           1 │ node02    │ 192.168.10.110 │ 9000 │        0 │ default │                  │            0 │                       0 │
│ perftest_3shards_2replicas        │         2 │            1 │           2 │ node03    │ 192.168.10.120 │ 9001 │        0 │ default │                  │            0 │                       0 │
│ perftest_3shards_2replicas        │         3 │            1 │           1 │ node03    │ 192.168.10.120 │ 9000 │        0 │ default │                  │            0 │                       0 │
│ perftest_3shards_2replicas        │         3 │            1 │           2 │ node01    │ 192.168.10.100 │ 9001 │        0 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards           │         1 │            1 │           1 │ 127.0.0.1 │ 127.0.0.1      │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards           │         2 │            1 │           1 │ 127.0.0.2 │ 127.0.0.2      │ 9000 │        0 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards_localhost │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_cluster_two_shards_localhost │         2 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_shard_localhost              │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_shard_localhost_secure       │         1 │            1 │           1 │ localhost │ ::1            │ 9440 │        0 │ default │                  │            0 │                       0 │
│ test_unavailable_shard            │         1 │            1 │           1 │ localhost │ ::1            │ 9000 │        1 │ default │                  │            0 │                       0 │
│ test_unavailable_shard            │         2 │            1 │           1 │ localhost │ ::1            │    1 │        0 │ default │                  │            0 │                       0 │
└───────────────────────────────────┴───────────┴──────────────┴─────────────┴───────────┴────────────────┴──────┴──────────┴─────────┴──────────────────┴──────────────┴─────────────────────────┘

14 rows in set. Elapsed: 0.019 sec.
    测试分片+副本集群

    创建可复制表,node01节点执行即可，其他节点会自动创建。

    CREATE TABLE `cluster32r_local` ON cluster perftest_3shards_2replicas
    (
    `id` Int32,
    `website` String,
    `wechat` String,
    `FlightDate` Date,
    Year UInt16
)
ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/ontime','{replica}', FlightDate, (Year, FlightDate), 8192);
    node01 :) CREATE TABLE `cluster32r_local` ON cluster perftest_3shards_2replicas
:-] (
:-] `id` Int32,
:-]     `website` String,
:-]     `wechat` String,
:-] `FlightDate` Date,
:-] Year UInt16
:-] )
:-] ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/ontime','{replica}', FlightDate, (Year, FlightDate), 8192);

CREATE TABLE cluster32r_local ON CLUSTER perftest_3shards_2replicas
(
    `id` Int32,
    `website` String,
    `wechat` String,
    `FlightDate` Date,
    `Year` UInt16
)
ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/ontime', '{replica}', FlightDate, (Year, FlightDate), 8192)

┌─host───┬─port─┬─status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
│ node03 │ 9001 │      0 │       │                   5 │                0 │
│ node03 │ 9000 │      0 │       │                   4 │                0 │
│ node01 │ 9001 │      0 │       │                   3 │                0 │
│ node01 │ 9000 │      0 │       │                   2 │                0 │
│ node02 │ 9000 │      0 │       │                   1 │                0 │
└────────┴──────┴────────┴───────┴─────────────────────┴──────────────────┘
┌─host───┬─port─┬─status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
│ node02 │ 9001 │      0 │       │                   0 │                0 │
└────────┴──────┴────────┴───────┴─────────────────────┴──────────────────┘

6 rows in set. Elapsed: 46.994 sec.

    创建分布式表

    CREATE TABLE cluster32r_all AS cluster32r_local ENGINE = Distributed(perftest_3shards_2replicas, default, cluster32r_local, rand());

    往第一个shard的副本插入数据（node01 9000）,可以在第二个副本中查看数据（node02 9001）

    INSERT INTO default.cluster32r_local (id,website,wechat,FlightDate,Year)values(1,'https://niocoder.com/','java干货','2020-11-28',2020);
INSERT INTO default.cluster32r_local (id,website,wechat,FlightDate,Year)values(2,'http://www.merryyou.cn/','javaganhuo','2020-11-28',2020);

    使用客户端链接node02 9001实例查看

    [root@node02 ~]# clickhouse-client --port 9001 -m
ClickHouse client version 20.8.3.18.
Connecting to localhost:9001 as user default.
Connected to ClickHouse server version 20.8.3 revision 54438.

node02 :) show tables;

SHOW TABLES

┌─name─────────────┐
│ cluster32r_local │
└──────────────────┘

1 rows in set. Elapsed: 0.010 sec. 

node02 :) select * from cluster32r_local;

SELECT *
FROM cluster32r_local

┌─id─┬─website─────────────────┬─wechat─────┬─FlightDate─┬─Year─┐
│  2 │ http://www.merryyou.cn/ │ javaganhuo │ 2020-11-28 │ 2020 │
└────┴─────────────────────────┴────────────┴────────────┴──────┘
┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘

2 rows in set. Elapsed: 0.018 sec.

    分布式表查询

    node01 :) select * from cluster32r_all;

SELECT *
FROM cluster32r_all

┌─id─┬─website─────────────────┬─wechat─────┬─FlightDate─┬─Year─┐
│  2 │ http://www.merryyou.cn/ │ javaganhuo │ 2020-11-28 │ 2020 │
└────┴─────────────────────────┴────────────┴────────────┴──────┘
┌─id─┬─website───────────────┬─wechat───┬─FlightDate─┬─Year─┐
│  1 │ https://niocoder.com/ │ java干货 │ 2020-11-28 │ 2020 │
└────┴───────────────────────┴──────────┴────────────┴──────┘

2 rows in set. Elapsed: 0.030 sec.

    所有副本节点均可本地表和分布式表均可读写数据

    下载

    关注微信公众号java干货回复 【clickhouse】
    大数据clickhouse
    java干货
    48 声望5 粉丝
    « 上一篇
    ClickHouse集群搭建（一）
    下一篇 »
    关系型数据库设计三大范式到底是什么？

    引用和评论

    推荐阅读
    头像
    什么？https://start.spring.io访问不了，本地搭建一个不就行了

    java干货阅读 2.6k

    头像
    手把手教你搭建DataEase二次开发环境(Windows)

    抓bug的猫赞 1阅读 1k评论 1

    头像
    Dolphinscheduler IDEA本地调试

    journey赞 1阅读 953

    头像
    数据资产管理实施路径盘点，一文读懂如何建设企业数据资产管理体系

    袋鼠云数栈阅读 935

    头像
    Flink CDC：新一代实时数据集成框架

    ApacheFlink阅读 841

    头像
    七猫如何用 StarRocks 打造用户增长新引擎?

    StarRocks阅读 826

    头像
    饿了么基于Flink+Paimon+StarRocks的实时湖仓探索

    StarRocks阅读 817

    0 条评论
    得票最新