ClickHouse之集群搭建以及数据复制---用户1278550

前面的文章简单的介绍了ClickHouse，以及也进行了简单的性能测试。本次说说集群的搭建以及数据复制，如果复制数据需要zookeeper配合。

环境：

1.3台机器，我这里是3台虚拟机。都安装了clickhouse。

2.绑定hosts，其实不绑定也没关系，配置文件里面直接写ip。（3台机器都绑定hosts，如下）

192.168.0.10 db_server_yayun_01 192.168.0.20 db_server_yayun_02 192.168.0.30 db_server_yayun_03

3.创建配置文件，默认这个配置文件是不存在的。/etc/clickhouse-server/config.xml有提示，如下：

If element has 'incl' attribute, then for it's value will be used corresponding substitution from another file. By default, path to file with substitutions is /etc/metrika.xml. It could be changed in config in 'include_from' element. Values for substitutions are specified in /yandex/name_of_substitution elements in that file.

配置文件/etc/metrika.xml内容如下：

<yandex> <clickhouse_remote_servers> <perftest_3shards_1replicas> <shard> <internal_replication>true</internal_replication> <replica> <host>db_server_yayun_01</host> <port>9000</port> </replica> </shard> <shard> <replica> <internal_replication>true</internal_replication> <host>db_server_yayun_02</host> <port>9000</port> </replica> </shard> <shard> <internal_replication>true</internal_replication> <replica> <host>db_server_yayun_03</host> <port>9000</port> </replica> </shard> </perftest_3shards_1replicas> </clickhouse_remote_servers> <zookeeper-servers> <node index="1"> <host>192.168.0.30</host> <port>2181</port> </node> </zookeeper-servers> <macros> <replica>192.168.0.10</replica> </macros> <networks> <ip>::/0</ip> </networks> <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>

3台机器的配置文件都一样，唯一有区别的是：

<macros> <replica>192.168.0.10</replica> </macros>

服务器ip是多少这里就写多少，其实不写ip也没关系，3台机器不重复就行。这里是复制需要用到的配置。还有zk的配置如下：

<zookeeper-servers> <node index="1"> <host>192.168.0.30</host> <port>2181</port> </node> </zookeeper-servers>

我的zk是安装在30的机器上面的，只安装了一个实例，生产环境肯定要放到单独的机器，并且配置成集群。配置文件修改好以后3台服务器重启。 官方文档给的步骤是：

ClickHouse deployment to cluster ClickHouse cluster is a homogenous cluster. Steps to set up: 1. Install ClickHouse server on all machines of the cluster 2. Set up cluster configs in configuration file 3. Create local tables on each instance 4. Create a Distributed table

前面2步都搞定了，下面创建本地表，再创建Distributed表。（3台机器都创建，DDL不同步，蛋疼，也可以使用ON Cluster 语法。在一个节点执行即可。）

CREATE TABLE ontime_local (FlightDate Date,Year UInt16) ENGINE = MergeTree(FlightDate, (Year, FlightDate), 8192); CREATE TABLE ontime_all AS ontime_local ENGINE = Distributed(perftest_3shards_1replicas, default, ontime_local, rand())

插入数据（随便一台机器就行）：

:) insert into ontime_all (FlightDate,Year)values('2001-10-12',2001); INSERT INTO ontime_all (FlightDate, Year) VALUES Ok. 1 rows in set. Elapsed: 0.013 sec. :) insert into ontime_all (FlightDate,Year)values('2002-10-12',2002); INSERT INTO ontime_all (FlightDate, Year) VALUES Ok. 1 rows in set. Elapsed: 0.004 sec. :) insert into ontime_all (FlightDate,Year)values('2003-10-12',2003); INSERT INTO ontime_all (FlightDate, Year) VALUES Ok.

我这里插入了3条数据。下面查询看看（任何一台机器都可以）：

:) select * from ontime_all; SELECT * FROM ontime_all ┌─FlightDate─┬─Year─┐ │ 2001-10-12 │ 2001 │ └────────────┴──────┘ ┌─FlightDate─┬─Year─┐ │ 2002-10-12 │ 2002 │ └────────────┴──────┘ ┌─FlightDate─┬─Year─┐ │ 2003-10-12 │ 2003 │ └────────────┴──────┘ → Progress: 3.00 rows, 12.00 B (48.27 rows/s., 193.08 B/s.) 3 rows in set. Elapsed: 0.063 sec. :)

当在其中一台机器上面查询的时候，抓包其他机器可以看见是有请求的。

tcpdump -i any -s 0 -l -w - dst port 9000 那么关闭其中一台机器呢？

:) select * from ontime_all; SELECT * FROM ontime_all ┌─FlightDate─┬─Year─┐ │ 2001-10-12 │ 2001 │ └────────────┴──────┘ ┌─FlightDate─┬─Year─┐ │ 2002-10-12 │ 2002 │ └────────────┴──────┘ ┌─FlightDate─┬─Year─┐ │ 2003-10-12 │ 2003 │ └────────────┴──────┘ ↓ Progress: 6.00 rows, 24.00 B (292.80 rows/s., 1.17 KB/s.) Received exception from server: Code: 279. DB::Exception: Received from localhost:9000, ::1. DB::NetException. DB::NetException: All connection tries failed. Log: Code: 210, e.displayText() = DB::NetException: Connection refused: (db_server_yayun_02:9000, 192.168.0.20), e.what() = DB::NetException Code: 210, e.displayText() = DB::NetException: Connection refused: (db_server_yayun_02:9000, 192.168.0.20), e.what() = DB::NetException Code: 210, e.displayText() = DB::NetException: Connection refused: (db_server_yayun_02:9000, 192.168.0.20), e.what() = DB::NetException

可以看见已经抛错了，竟然不是高可用？是的，就是不是高可用，上面的配置是设置3个分片，但是没有副本，所以在挂掉一个节点以后，就会存在问题。后面又看到了文档的另外一种配置方法，那就是配置2个节点，副本2个，经过测试高可用没有问题，另外也是分布式并行查询。感兴趣的同学可以自行测试。

https://clickhouse.yandex/reference_en.html#Distributed

下面进行数据复制的测试,zk已经配置好了，直接建表测试（3台机器都创建）：

CREATE TABLE ontime_replica (FlightDate Date,Year UInt16) ENGINE = ReplicatedMergeTree('/clickhouse_perftest/tables/ontime_replica','{replica}',FlightDate,(Year, FlightDate),8192);

插入数据测试：

insert into ontime_replica (FlightDate,Year)values('2018-10-12',2018);

参考资料：

https://clickhouse.yandex/reference_en.html#Distributed

https://clickhouse.yandex/tutorial.html

---来自腾讯云社区的---用户1278550