前文簡單介紹了下Clickhouse的安裝和客戶端使用,在實際生產環境中,Clickhouse經常是以集羣模式部署的,因爲不少系統不知足sse4.2指令,這裏使用docker來搭建一個Clickhouse的集羣。html
機器名node |
IP算法 |
配置sql |
操做系統docker |
部署的服務數據庫 |
備註centos |
server01服務器 |
192.168.21.21運維 |
8c8gssh |
centos7.3 |
clickhouserver(cs01-01)和 clickhouserver(cs01-02) |
clickhouse01-01: 實例1, 端口: tcp 9000, http 8123, 同步端口9009, 類型: 分片1, 副本1 clickhouse01-02: 實例2, 端口: tcp 9001, http 8124, 同步端口9010, 類型: 分片2, 副本2 (clickhouse2的副本) |
server02 |
192.168.21.69 |
8c8g |
centos7.3 |
clickhouserver(cs02-01)和 clickhouserver(cs02-02) |
clickhouse02-01: 實例1, 端口: tcp 9000, http 8123, 同步端口9009, 類型: 分片2, 副本1 clickhouse02-02: 實例2, 端口: tcp 9001, http 8124, 同步端口9010, 類型: 分片3, 副本2 (clickhouse3的副本) |
server03 |
192.168.21.6 |
8c8g |
centos7.3 |
clickhouserver(cs03-01)和 clickhouserver(cs03-02) |
clickhouse03-01: 實例1, 端口: tcp 9000, http 8123, 同步端口9009, 類型: 分片3, 副本1 clickhouse03-02: 實例2, 端口: tcp 9001, http 8124, 同步端口9010, 類型: 分片1, 副本2 (clickhouse1的副本) |
執行:vi /etc/hosts, 加入下面三行:
192.168.21.21 server01
192.168.21.69 server02
192.168.21.6 server03
每臺機器上均安裝相同版本的docker
參照:docker環境搭建
分別在三臺服務器,建立數據存儲目錄:
mkdir /data/clickhouse
1)在server01服務器作以下操做
先按照官方教程的docker命令啓動Clickhouse-Server
docker run -d --name clickhouse-server --ulimit nofile=262144:262144 --volume=/data/clickhouse/:/var/lib/clickhouse yandex/clickhouse-server
2)啓動完成後,複製容器內的配置文件到本機目錄下
#拷貝容器內容的配置到/etc目錄下 docker cp clickhouse-server:/etc/clickhouse-server/ /etc/ #將server01上的目錄重命名 cp -rf /etc/clickhouse-server/ /etc/clickhouse-server01/ cp -rf /etc/clickhouse-server/ /etc/clickhouse-server02/
3)而後將/etc/clickhouse-server/ 分別拷貝到每一個機器上
#拷貝配置到server02上 scp /etc/clickhouse-server/ server02:/etc/clickhouse-server01/ scp /etc/clickhouse-server/ server02:/etc/clickhouse-server02/ #拷貝配置到server03上 scp /etc/clickhouse-server/ server03:/etc/clickhouse-server01/ scp /etc/clickhouse-server/ server03:/etc/clickhouse-server02/
集羣環境說明:
clickhouse01-01: 實例1, 端口: tcp 9000, http 8123, 同步端口9009, 類型: 分片1, 副本1
clickhouse01-02: 實例2, 端口: tcp 9001, http 8124, 同步端口9010, 類型: 分片2, 副本2 (clickhouse2的副本)
clickhouse02-01: 實例1, 端口: tcp 9000, http 8123, 同步端口9009, 類型: 分片2, 副本1
clickhouse02-02: 實例2, 端口: tcp 9001, http 8124, 同步端口9010, 類型: 分片3, 副本2 (clickhouse3的副本)
clickhouse03-01: 實例1, 端口: tcp 9000, http 8123, 同步端口9009, 類型: 分片3, 副本1
clickhouse03-02: 實例2, 端口: tcp 9001, http 8124, 同步端口9010, 類型: 分片1, 副本2 (clickhouse1的副本)
須要修改的配置有兩個(若是有須要也能夠配置user.xml):
2.2.2.1 clickhouse-01-01的配置:
1)/etc/clickhouse-server01/config.xml(其餘實例此配置內容和這個同樣就行)
修改include from節點爲實際的引用到的文件
<!-- 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. --> <include_from>/etc/clickhouse-server/metrika.xml</include_from> <listen_host>0.0.0.0</listen_host> <listen_host>127.0.0.1</listen_host>
2)/etc/clickhouse-server01/metrika.xml(全部實例的配置內容都和這個同樣就行)
<!--全部實例均使用這個集羣配置,不用個性化 --> <yandex> <!-- 集羣配置 --> <!-- clickhouse_remote_servers全部實例配置都同樣 --> <!-- 集羣配置 --> <clickhouse_remote_servers> <cluster_3s_1r> <!-- 數據分片1 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server01</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server03</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片2 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server02</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server01</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片3 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server03</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server02</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> </cluster_3s_1r> </clickhouse_remote_servers> <!-- ZK --> <!-- zookeeper_servers全部實例配置都同樣 --> <zookeeper-servers> <node index="1"> <host>192.168.21.66</host> <port>2181</port> </node> <node index="2"> <host>192.168.21.57</host> <port>2181</port> </node> <node index="3"> <host>192.168.21.17</host> <port>2181</port> </node> </zookeeper-servers> <!-- marcos每一個實例配置不同 分片1, 副本1 --> <macros> <layer>01</layer> <shard>01</shard> <replica>cluster01-01-1</replica> </macros> <networks> <ip>::/0</ip> </networks> <!-- 數據壓縮算法 --> <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>
2.2.2.2 clickhouse-01-02的配置:
1)/etc/clickhouse-server02/metrika.xml(全部實例的配置內容都和這個同樣就行)
<!--全部實例均使用這個集羣配置,不用個性化 --> <yandex> <!-- 集羣配置 --> <!-- clickhouse_remote_servers全部實例配置都同樣 --> <clickhouse_remote_servers> <cluster_3s_1r> <!-- 數據分片1 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server01</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server03</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片2 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server02</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server01</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片3 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server03</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server02</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> </cluster_3s_1r> </clickhouse_remote_servers> <!-- ZK --> <!-- zookeeper_servers全部實例配置都同樣 --> <zookeeper-servers> <node index="1"> <host>192.168.21.66</host> <port>2181</port> </node> <node index="2"> <host>192.168.21.57</host> <port>2181</port> </node> <node index="3"> <host>192.168.21.17</host> <port>2181</port> </node> </zookeeper-servers> <!-- marcos每一個實例配置不同 分片2, 副本2--> <macros> <layer>01</layer> <shard>02</shard> <replica>cluster01-02-2</replica> </macros> <networks> <ip>::/0</ip> </networks> <!-- 數據壓縮算法 --> <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>
2.2.3.1 clickhouse-02-01的配置:
/etc/clickhouse-server01/metrika.xml
<!--全部實例均使用這個集羣配置,不用個性化 --> <yandex> <!-- 集羣配置 --> <!-- clickhouse_remote_servers全部實例配置都同樣 --> <clickhouse_remote_servers> <cluster_3s_1r> <!-- 數據分片1 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server01</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server03</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片2 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server02</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server01</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片3 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server03</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server02</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> </cluster_3s_1r> </clickhouse_remote_servers> <!-- ZK --> <!-- zookeeper_servers全部實例配置都同樣 --> <zookeeper-servers> <node index="1"> <host>192.168.21.66</host> <port>2181</port> </node> <node index="2"> <host>192.168.21.57</host> <port>2181</port> </node> <node index="3"> <host>192.168.21.17</host> <port>2181</port> </node> </zookeeper-servers> <!-- marcos每一個實例配置不同 分片2, 副本1--> <macros> <layer>01</layer> <shard>02</shard> <replica>cluster01-02-1</replica> </macros> <networks> <ip>::/0</ip> </networks> <!-- 數據壓縮算法 --> <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>
2.2.3.2 clickhouse-02-02的配置:
/etc/clickhouse-server02/metrika.xml
<!--全部實例均使用這個集羣配置,不用個性化 --> <yandex> <!-- 集羣配置 --> <!-- clickhouse_remote_servers全部實例配置都同樣 --> <clickhouse_remote_servers> <cluster_3s_1r> <!-- 數據分片1 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server01</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server03</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片2 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server02</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server01</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片3 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server03</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server02</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> </cluster_3s_1r> </clickhouse_remote_servers> <!-- ZK --> <!-- zookeeper_servers全部實例配置都同樣 --> <zookeeper-servers> <node index="1"> <host>192.168.21.66</host> <port>2181</port> </node> <node index="2"> <host>192.168.21.57</host> <port>2181</port> </node> <node index="3"> <host>192.168.21.17</host> <port>2181</port> </node> </zookeeper-servers> <!-- marcos每一個實例配置不同 分片3, 副本2--> <macros> <layer>01</layer> <shard>03</shard> <replica>cluster01-03-2</replica> </macros> <networks> <ip>::/0</ip> </networks> <!-- 數據壓縮算法 --> <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>
2.2.4.1 clickhouse-03-01的配置:
1)/etc/clickhouse-server01/metrika.xml
<!--全部實例均使用這個集羣配置,不用個性化 --> <yandex> <!-- 集羣配置 --> <!-- clickhouse_remote_servers全部實例配置都同樣 --> <clickhouse_remote_servers> <cluster_3s_1r> <!-- 數據分片1 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server01</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server03</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片2 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server02</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server01</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片3 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server03</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server02</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> </cluster_3s_1r> </clickhouse_remote_servers> <!-- ZK --> <!-- zookeeper_servers全部實例配置都同樣 --> <zookeeper-servers> <node index="1"> <host>192.168.21.66</host> <port>2181</port> </node> <node index="2"> <host>192.168.21.57</host> <port>2181</port> </node> <node index="3"> <host>192.168.21.17</host> <port>2181</port> </node> </zookeeper-servers> <!-- marcos每一個實例配置不同 分片3, 副本1--> <macros> <layer>01</layer> <shard>03</shard> <replica>cluster01-03-1</replica> </macros> <networks> <ip>::/0</ip> </networks> <!-- 數據壓縮算法 --> <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>
2.2.4.2 clickhouse-03-02的配置:
1. /etc/clickhouse-server02/metrika.xml
<!--全部實例均使用這個集羣配置,不用個性化 --> <yandex> <!-- 集羣配置 --> <!-- clickhouse_remote_servers全部實例配置都同樣 --> <clickhouse_remote_servers> <cluster_3s_1r> <!-- 數據分片1 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server01</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server03</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片2 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server02</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server01</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> <!-- 數據分片3 --> <shard> <internal_replication>true</internal_replication> <replica> <host>server03</host> <port>9000</port> <user>default</user> <password></password> </replica> <replica> <host>server02</host> <port>9001</port> <user>default</user> <password></password> </replica> </shard> </cluster_3s_1r> </clickhouse_remote_servers> <!-- ZK --> <!-- zookeeper_servers全部實例配置都同樣 --> <zookeeper-servers> <node index="1"> <host>192.168.21.66</host> <port>2181</port> </node> <node index="2"> <host>192.168.21.57</host> <port>2181</port> </node> <node index="3"> <host>192.168.21.17</host> <port>2181</port> </node> </zookeeper-servers> <!-- marcos每一個實例配置不同 分片1, 副本2--> <macros> <layer>01</layer> <shard>01</shard> <replica>cluster01-01-2</replica> </macros> <networks> <ip>::/0</ip> </networks> <!-- 數據壓縮算法 --> <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>
登錄到server01:ssh server01
#先刪除cs01-01容器 docker rm -f cs01-01 #運行Clickhouse-server docker run -d \ --name cs01-01 \ --ulimit nofile=262144:262144 \ --volume=/data/clickhouse01/:/var/lib/clickhouse \ --volume=/etc/clickhouse-server01/:/etc/clickhouse-server/ \ --add-host server01:192.168.21.21 \ --add-host server02:192.168.21.69 \ --add-host server03:192.168.21.6 \ --add-host i-r9es2e0q:192.168.21.21 \ --add-host i-o91d619w:192.168.21.69 \ --add-host i-ldipmbwa:192.168.21.6 \ --hostname $(hostname) \ -p 9000:9000 \ -p 8123:8123 \ -p 9009:9009 \ yandex/clickhouse-server
說明:
--add-host參數:由於咱們在配置文件中使用了hostname來指代咱們的服務器,爲了讓容器可以識別,因此須要加此參數,對應的host配置會自動被添加到容器主機的/etc/hosts裏面
--hostname參數:clickhouse中的system.clusters表會顯示集羣信息,其中is_local的屬性若是不配置hostname的話clickhouse沒法識別是不是當前本機。is_local都爲0的話會影響集羣操做,is_local經過clickhouse-client登陸到任一clickhouse-server上查看:SELECT * FROM system.clusters;
--p參數:暴露容器中的端口到本機端口中。
登錄到server01:ssh server01;
docker run -d \ --name cs01-02 \ --ulimit nofile=262144:262144 \ --volume=/data/clickhouse02/:/var/lib/clickhouse \ --volume=/etc/clickhouse-server02/:/etc/clickhouse-server/ \ --add-host server01:192.168.21.21 \ --add-host server02:192.168.21.69 \ --add-host server03:192.168.21.6 \ --add-host i-r9es2e0q:192.168.21.21 \ --add-host i-o91d619w:192.168.21.69 \ --add-host i-ldipmbwa:192.168.21.6 \ --hostname $(hostname) \ -p 9001:9000 \ -p 8124:8123 \ -p 9010:9009 \ yandex/clickhouse-server
登錄到server02:ssh server02
docker run -d \ --name cs02-01 \ --ulimit nofile=262144:262144 \ --volume=/data/clickhouse01/:/var/lib/clickhouse \ --volume=/etc/clickhouse-server01/:/etc/clickhouse-server/ \ --add-host server01:192.168.21.21 \ --add-host server02:192.168.21.69 \ --add-host server03:192.168.21.6 \ --add-host i-r9es2e0q:192.168.21.21 \ --add-host i-o91d619w:192.168.21.69 \ --add-host i-ldipmbwa:192.168.21.6 \ --hostname $(hostname) \ -p 9000:9000 \ -p 8123:8123 \ -p 9009:9009 \ yandex/clickhouse-server
登錄到server02:ssh server02
docker run -d \ --name cs02-02 \ --ulimit nofile=262144:262144 \ --volume=/data/clickhouse02/:/var/lib/clickhouse \ --volume=/etc/clickhouse-server02/:/etc/clickhouse-server/ \ --add-host server01:192.168.21.21 \ --add-host server02:192.168.21.69 \ --add-host server03:192.168.21.6 \ --add-host i-r9es2e0q:192.168.21.21 \ --add-host i-o91d619w:192.168.21.69 \ --add-host i-ldipmbwa:192.168.21.6 \ --hostname $(hostname) \ -p 9001:9000 \ -p 8124:8123 \ -p 9010:9009 \ yandex/clickhouse-server
登錄到server03:ssh server03
docker run -d \ --name cs03-01 \ --ulimit nofile=262144:262144 \ --volume=/data/clickhouse01/:/var/lib/clickhouse \ --volume=/etc/clickhouse-server01/:/etc/clickhouse-server/ \ --add-host server01:192.168.21.21 \ --add-host server02:192.168.21.69 \ --add-host server03:192.168.21.6 \ --add-host i-r9es2e0q:192.168.21.21 \ --add-host i-o91d619w:192.168.21.69 \ --add-host i-ldipmbwa:192.168.21.6 \ --hostname $(hostname) \ -p 9000:9000 \ -p 8123:8123 \ -p 9009:9009 \ yandex/clickhouse-server
登錄到server03:ssh server03
docker run -d \ --name cs03-02 \ --ulimit nofile=262144:262144 \ --volume=/data/clickhouse02/:/var/lib/clickhouse \ --volume=/etc/clickhouse-server02/:/etc/clickhouse-server/ \ --add-host server01:192.168.21.21 \ --add-host server02:192.168.21.69 \ --add-host server03:192.168.21.6 \ --add-host i-r9es2e0q:192.168.21.21 \ --add-host i-o91d619w:192.168.21.69 \ --add-host i-ldipmbwa:192.168.21.6 \ --hostname $(hostname) \ -p 9001:9000 \ -p 8124:8123 \ -p 9010:9009 \ yandex/clickhouse-server
1)隨便在哪一臺實例的機器上執行以下(連不一樣的clickhouse實例只須要改下host和port的值便可)
docker run -it \ --rm \ --add-host server01:192.168.21.21 \ --add-host server02:192.168.21.69 \ --add-host server03:192.168.21.6 \ yandex/clickhouse-client \ --host server01 \ --port 9000
2)執行下以下命令查看下配置信息:
#須要看下,是否和metrika.xml配置的分片和副本信息一致,若是不一致,須要check下每一個clickhouse-server實例的配置
#應該is_local顯示爲0,且分片和副本信息都正確
SELECT * FROM system.clusters;
全部實例配置完上面這些以後,分別執行啓動命令啓動,而後全部實例都執行下面語句建立數據庫:
例如在實例01-02上執行:
#執行Clickhouse client進入Clickhouse docker run -it --rm --add-host server01:192.168.21.21 --add-host server02:192.168.21.69 --add-host server03:192.168.21.6 \ yandex/clickhouse-client --host server01 --port 9001 ClickHouse client version 19.17.5.18 (official build). Connecting to server01:9001 as user default. Connected to ClickHouse server version 19.17.5 revision 54428. i-r9es2e0q :) CREATE DATABASE test; CREATE DATABASE test Ok.
而後對於全部實例分別建立對應的複製表,這裏測試建立一個簡單的表:
#在clickhouse01-01 9000上執行: docker run -it --rm --add-host server01:192.168.21.21 --add-host server02:192.168.21.69 --add-host server03:192.168.21.6 \ yandex/clickhouse-client --host server01 --port 9000 #而後執行 CREATE TABLE test.device_thing_data ( time UInt64, user_id String, device_id String, source_id String, thing_id String, identifier String, value_int32 Int32, value_float Float32, value_double Float64, value_string String, value_enum Enum8('0'=0,'1'=1,'2'=2,'3'=3,'4'=4,'5'=5,'6'=6,'7'=7,'8'=8), value_string_ex String, value_array_string Array(String), value_array_int32 Array(Int32), value_array_float Array(Float32), value_array_double Array(Float64), action_date Date, action_time DateTime ) Engine= ReplicatedMergeTree('/clickhouse/tables/01-01/device_thing_data','cluster01-01-1') PARTITION BY toYYYYMM(action_date) ORDER BY (user_id,device_id,thing_id,identifier,time,intHash64(time)) SAMPLE BY intHash64(time) SETTINGS index_granularity=8192 #在clickhouse01-02 9001上執行: docker run -it --rm --add-host server01:192.168.21.21 --add-host server02:192.168.21.69 --add-host server03:192.168.21.6 \ yandex/clickhouse-client --host server01 --port 9001 而後執行 CREATE TABLE test.device_thing_data ( time UInt64, user_id String, device_id String, source_id String, thing_id String, identifier String, value_int32 Int32, value_float Float32, value_double Float64, value_string String, value_enum Enum8('0'=0,'1'=1,'2'=2,'3'=3,'4'=4,'5'=5,'6'=6,'7'=7,'8'=8), value_string_ex String, value_array_string Array(String), value_array_int32 Array(Int32), value_array_float Array(Float32), value_array_double Array(Float64), action_date Date, action_time DateTime ) Engine= ReplicatedMergeTree('/clickhouse/tables/01-02/device_thing_data','cluster01-02-2') PARTITION BY toYYYYMM(action_date) ORDER BY (user_id,device_id,thing_id,identifier,time,intHash64(time)) SAMPLE BY intHash64(time) SETTINGS index_granularity=8192 #在clickhouse02-01 9000上執行: docker run -it --rm --add-host server01:192.168.21.21 --add-host server02:192.168.21.69 --add-host server03:192.168.21.6 \ yandex/clickhouse-client --host server02 --port 9000 #而後執行 CREATE TABLE test.device_thing_data ( time UInt64, user_id String, device_id String, source_id String, thing_id String, identifier String, value_int32 Int32, value_float Float32, value_double Float64, value_string String, value_enum Enum8('0'=0,'1'=1,'2'=2,'3'=3,'4'=4,'5'=5,'6'=6,'7'=7,'8'=8), value_string_ex String, value_array_string Array(String), value_array_int32 Array(Int32), value_array_float Array(Float32), value_array_double Array(Float64), action_date Date, action_time DateTime ) Engine= ReplicatedMergeTree('/clickhouse/tables/01-02/device_thing_data','cluster01-02-1') PARTITION BY toYYYYMM(action_date) ORDER BY (user_id,device_id,thing_id,identifier,time,intHash64(time)) SAMPLE BY intHash64(time) SETTINGS index_granularity=8192 #在clickhouse02-02 9001上執行: docker run -it --rm --add-host server01:192.168.21.21 --add-host server02:192.168.21.69 --add-host server03:192.168.21.6 \ yandex/clickhouse-client --host server02 --port 9001 #而後執行 CREATE TABLE test.device_thing_data ( time UInt64, user_id String, device_id String, source_id String, thing_id String, identifier String, value_int32 Int32, value_float Float32, value_double Float64, value_string String, value_enum Enum8('0'=0,'1'=1,'2'=2,'3'=3,'4'=4,'5'=5,'6'=6,'7'=7,'8'=8), value_string_ex String, value_array_string Array(String), value_array_int32 Array(Int32), value_array_float Array(Float32), value_array_double Array(Float64), action_date Date, action_time DateTime ) Engine= ReplicatedMergeTree('/clickhouse/tables/01-03/device_thing_data','cluster01-03-2') PARTITION BY toYYYYMM(action_date) ORDER BY (user_id,device_id,thing_id,identifier,time,intHash64(time)) SAMPLE BY intHash64(time) SETTINGS index_granularity=8192 #在clickhouse03-01 9000上執行: docker run -it --rm --add-host server01:192.168.21.21 --add-host server02:192.168.21.69 --add-host server03:192.168.21.6 \ yandex/clickhouse-client --host server03 --port 9000 #而後執行 CREATE TABLE test.device_thing_data ( time UInt64, user_id String, device_id String, source_id String, thing_id String, identifier String, value_int32 Int32, value_float Float32, value_double Float64, value_string String, value_enum Enum8('0'=0,'1'=1,'2'=2,'3'=3,'4'=4,'5'=5,'6'=6,'7'=7,'8'=8), value_string_ex String, value_array_string Array(String), value_array_int32 Array(Int32), value_array_float Array(Float32), value_array_double Array(Float64), action_date Date, action_time DateTime ) Engine= ReplicatedMergeTree('/clickhouse/tables/01-03/device_thing_data','cluster01-03-1') PARTITION BY toYYYYMM(action_date) ORDER BY (user_id,device_id,thing_id,identifier,time,intHash64(time)) SAMPLE BY intHash64(time) SETTINGS index_granularity=8192 #在clickhouse03-02 9001上執行: docker run -it --rm --add-host server01:192.168.21.21 --add-host server02:192.168.21.69 --add-host server03:192.168.21.6 \ yandex/clickhouse-client --host server03 --port 9001 而後執行 CREATE TABLE test.device_thing_data ( time UInt64, user_id String, device_id String, source_id String, thing_id String, identifier String, value_int32 Int32, value_float Float32, value_double Float64, value_string String, value_enum Enum8('0'=0,'1'=1,'2'=2,'3'=3,'4'=4,'5'=5,'6'=6,'7'=7,'8'=8), value_string_ex String, value_array_string Array(String), value_array_int32 Array(Int32), value_array_float Array(Float32), value_array_double Array(Float64), action_date Date, action_time DateTime ) Engine= ReplicatedMergeTree('/clickhouse/tables/01-01/device_thing_data','cluster01-01-2') PARTITION BY toYYYYMM(action_date) ORDER BY (user_id,device_id,thing_id,identifier,time,intHash64(time)) SAMPLE BY intHash64(time) SETTINGS index_granularity=8192
而後建立完上面複製表以後,能夠建立分佈式表,分佈式表只是做爲一個查詢引擎,自己不存儲任何數據,查詢時將sql發送到全部集羣分片,而後進行進行處理和聚合後將結果返回給客戶端,所以clickhouse限制聚合結果大小不能大於分佈式表節點的內存,固然這個通常條件下都不會超過;分佈式表能夠全部實例都建立,也能夠只在一部分實例建立,這個和業務代碼中查詢的示例一致,建議設置多個,當某個節點掛掉時能夠查詢其餘節點上的表,分佈式表的建表語句以下:
#在clickhouse-server集羣上一次性建立全部的分佈式表,操做卡主了。緣由不明 CREATE TABLE device_thing_data_all ON CLUSTER cluster_3s_1r AS test.device_thing_data ENGINE = Distributed(cluster_3s_1r, default, device_thing_data, rand()) #以下這個須要每一個機器上都操做一遍 CREATE TABLE device_thing_data_all AS test.device_thing_data ENGINE = Distributed(cluster_3s_1r, test, device_thing_data, rand())
#客戶端鏈接到某個clickhouse-server實例(例如cs01-01) #查詢分佈式表,此時沒有查詢到數據 select * from image_label_all; #在cs01-01上執行以下查看是否有數據 #查詢本地複製表,此時沒有查詢到數據 select * from test.device_thing_data; #往復製表中表裏插入一條數據 INSERT INTO test.device_thing_data; (user_id) VALUES ('1') #因爲剛纔在cs01-01上插入一條數據,因此應該有數據了 select * from test.device_thing_data; #查詢分佈式表,也有數據了 select * from image_label_all; #在cs03-02上查詢複製表的數據(因爲cs03-02是cs01-01的副本,因此數據被自動同步過來了),因此應該有數據了 select * from test.device_thing_data; #在cs03-01上插入一條數據,此時應該會把數據同步到cs02-02上 INSERT INTO test.device_thing_data (user_id) VALUES ('2') #再次查詢分佈式表,此時應該查到cs03-01和cs01-01上的兩條數據 select * from image_label_all;
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csdn:https://blog.csdn.net/ccgshigao
博客園:https://www.cnblogs.com/qa-freeroad/
51cto:https://blog.51cto.com/14900374
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