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Clickhouse 集群部署安装_clinkhouse中activating
作者：繁依Fanyi0 | 2024-03-16 02:58:59
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clinkhouse中activating
ClickHouse 集群部署安装
1、环境准备
（1）、阿里云服务器两台 集群节点信息
192.168.5.13 ch01
192.168.5.14 ch02
（2）、修改 /etc/cloud/cloud.cfg ( 所有节点 )
[root@iZbp1fsk0p3opmtlo52u91Z ~]# vim /etc/cloud/cloud.cfg
注释掉 # manage_etc_hosts: localhost
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（3）、文件打开数调整 ( 所有节点 )
在 /etc/security/limits.conf和/etc/security/limits.d/20-nproc.conf 这两个文件的末尾加入以下内容：
注意：没有20-nproc.conf 该文件就创建一个
[root@ch01 conf]# vim /etc/security/limits.conf
* soft nofile 65535
* hard nofile 65535
* soft nproc 131072
* hard nproc 131072
[root@ch01 conf]# vim /etc/security/limits.d/20-nproc.conf
* soft nofile 65535
* hard nofile 65535
* soft nproc 131072
* hard nproc 131072
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（4）、取消selinux ( 所有节点 )
修改 /etc/selinux/config 中的 SELINUX=disabled 后重启
vim /etc/selinux/config
SELINUX=disabled
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（5）、关闭防火墙 ( 所有节点 )
systemctl status firewalld.service
systemctl stop firewalld.service
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（6）、安装依赖 ( 所有节点 )
root用户执行:
yum install -y libtool
yum install -y *unixODBC*
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（7）、验证是否支持sse 4.2指令集 ( 所有节点 )
需要验证当前服务器的CPU是否支持SSE 4.2指令集，因为向量化执行需要用到这项特性
[root@ch02 ~]# grep -q sse4_2 /proc/cpuinfo && echo "SSE 4.2 supported" || echo "SSE 4.2 not supported"
SSE 4.2 supported
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（8）、修改 hostname ( 所有节点 )
192.168.5.13
[root@iZbp1fsk0p3opmtlo52u91Z ~]# hostnamectl set-hostname ch01
[root@iZbp1fsk0p3opmtlo52u91Z ~]# exit
登出
连接断开
连接主机...
连接主机成功
Last login: Wed Jun 29 09:53:30 2022 from 117.64.249.192
Welcome to Alibaba Cloud Elastic Compute Service !
[root@ch01 ~]#
192.168.5.14
[root@iZbp1fsk0p3opmtlo52u92Z ~]# hostnamectl set-hostname ch02
[root@iZbp1fsk0p3opmtlo52u92Z ~]# exit
登出
连接断开
连接主机...
连接主机成功
Last login: Wed Jun 29 09:53:28 2022 from 117.64.249.192
Welcome to Alibaba Cloud Elastic Compute Service !
[root@ch02 ~]#
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（9）、配置hosts ( 所有节点 )
[root@ch01 ~]# vim /etc/hosts
# 192.168.5.13 iZbp1fsk0p3opmtlo52u91Z iZbp1fsk0p3opmtlo52u91Z
192.168.5.13 ch01
192.168.5.14 ch02
[root@ch02 ~]# vim /etc/hosts
# 192.168.5.14 iZbp1fsk0p3opmtlo52u92Z iZbp1fsk0p3opmtlo52u92Z
192.168.5.13 ch01
192.168.5.14 ch02
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(10) 上面步骤完成后重启服务器 reboot
2、JDK安装
（1）、上传jdk压缩包至 服务器/opt 目录下
[root@ch01 opt]# ls
Clickhouse21.3.4.25 jdk-8u241-linux-x64.tar.gz zookeeper-3.4.13.tar.gz
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（2）、解压安装包 ，配置环境变量
[root@ch01 opt]# tar -zxvf jdk-8u241-linux-x64.tar.gz
[root@ch01 opt]# vim /etc/profile
export JAVA_HOME=/usr/java/jdk1.8.0_181-cloudera
export CLASSPATH=.:$CLASSPATH:$JAVA_HOME/lib
export PATH=$PATH:$JAVA_HOME/bin
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（3）、source环境变量 ，验证是否成功
[root@ch01 opt]# source /etc/profile
[root@ch01 opt]# java -version
java version "1.8.0_241"
Java(TM) SE Runtime Environment (build 1.8.0_241-b07)
Java HotSpot(TM) 64-Bit Server VM (build 25.241-b07, mixed mode)
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3、Zookeeper 集群安装
使用kafka上的Zookeeper ,此处安装省略
在 clickhouse 集群上 hosts 上新增
192.168.5.5 zk01
192.168.5.6 zk02
192.168.5.8 zk03
4、安装部署ClickHouse
（1）、上传安装包至服务器上 /opt/Clickhouse21.3.4.25 目录下
[root@ch01 /]# cd /opt/Clickhouse21.3.4.25/
[root@ch01 Clickhouse21.3.4.25]# ll
总用量 698960
-rw-r--r-- 1 root root 46224 6月 28 20:24 clickhouse-client-21.3.4.25-2.noarch.rpm
-rw-r--r-- 1 root root 126245942 6月 28 20:25 clickhouse-common-static-21.3.4.25-2.x86_64.rpm
-rw-r--r-- 1 root root 589359990 6月 28 20:27 clickhouse-common-static-dbg-21.3.4.25-2.x86_64.rpm
-rw-r--r-- 1 root root 69097 6月 28 20:24 clickhouse-server-21.3.4.25-2.noarch.rpm
[root@ch01 Clickhouse21.3.4.25]#
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（2）、先进入我们创建的clickhouse目录下，使用shell命令sudo rpm -ivh *.rpm 安装4个rpm包，执行安装
[root@ch01 Clickhouse21.3.4.25]# sudo rpm -ivh *.rpm
警告：clickhouse-client-21.3.4.25-2.noarch.rpm: 头V4 RSA/SHA1 Signature, 密钥 ID e0c56bd4: NOKEY
准备中... ################################# [100%]
正在升级/安装...
1:clickhouse-common-static-21.3.4.2################################# [ 25%]
2:clickhouse-client-21.3.4.25-2 ################################# [ 50%]
3:clickhouse-server-21.3.4.25-2 ################################# [ 75%]
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节点2同样步骤
（3）、启动 clickhouse
[root@ch01 ~]# systemctl start clickhouse-server.service
查看启动状态
[root@ch01 ~]# systemctl status clickhouse-server.service
● clickhouse-server.service - ClickHouse Server (analytic DBMS for big data)
Loaded: loaded (/etc/systemd/system/clickhouse-server.service; enabled; vendor preset: disabled)
Active: activating (auto-restart) (Result: exit-code) since 三 2022-06-29 17:12:19 CST; 5s ago
Process: 28187 ExecStart=/usr/bin/clickhouse-server --config=/etc/clickhouse-server/config.xml --pid-file=/run/clickhouse-server/clickhouse-server.pid (code=exited, status=70)
Main PID: 28187 (code=exited, status=70)
6月 29 17:12:19 ch01 systemd[1]: Unit clickhouse-server.service entered failed state.
6月 29 17:12:19 ch01 systemd[1]: clickhouse-server.service failed.
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节点2同样步骤
（4）、进入clickhouse-client：
[root@ch01 ~]# clickhouse-client -h localhost --port 9000 -u default # 回车 初始没有密码
ClickHouse client version 21.3.4.25 (official build).
Connecting to localhost:9000 as user default.
Connected to ClickHouse server version 21.3.4 revision 54447.
# 验证数据
ch01 :) show databases;
SHOW DATABASES
Query id: 994f4d84-908d-4092-bf48-227d70c3e212
┌─name────┐
│ default │
│ system │
└─────────┘
2 rows in set. Elapsed: 0.001 sec.
ch01 :)
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节点2同样步骤
到此 证明clickhouse完全安装成功并可以正确使用
5、集群部署
两个节点全部按照上面的指导部署单节点成功后开始配置部署集群需要的配置
（1）、首先以一个节点为例配置， 进入 /etc/clickhouse-server 目录下，添加配置信息如下：
将config.xml , users.xml 备份起来 避免配置修改失误，导致clickhouse 启动失败。
[root@ch01 clickhouse-server]# cp config.xml config_bak20220630.xml
[root@ch01 clickhouse-server]# cp users.xml users_bak20220630.xml
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编辑 config.xml 清空 内容，将以下内容粘贴进去
[root@ch01 clickhouse-server]# vim config.xml
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<?xml version="1.0"?>
<!--
NOTE: User and query level settings are set up in "users.xml" file.
If you have accidentally specified user-level settings here, server won't start.
You can either move the settings to the right place inside "users.xml" file
or add <skip_check_for_incorrect_settings>1</skip_check_for_incorrect_settings> here.
-->
<yandex>
<logger>
<!-- Possible levels: https://github.com/pocoproject/poco/blob/poco-1.9.4-release/Foundation/include/Poco/Logger.h#L105 -->
<level>trace</level>
<log>/var/log/clickhouse-server/clickhouse-server.log</log>
<errorlog>/var/log/clickhouse-server/clickhouse-server.err.log</errorlog>
<!-- Rotation policy
See https://github.com/pocoproject/poco/blob/poco-1.9.4-release/Foundation/include/Poco/FileChannel.h#L54-L85
-->
<size>1000M</size>
<count>10</count>
<!-- <console>1</console> --> <!-- Default behavior is autodetection (log to console if not daemon mode and is tty) -->
<!-- Per level overrides (legacy):
For example to suppress logging of the ConfigReloader you can use:
NOTE: levels.logger is reserved, see below.
-->
<!--
<levels>
<ConfigReloader>none</ConfigReloader>
</levels>
-->
<!-- Per level overrides:
For example to suppress logging of the RBAC for default user you can use:
(But please note that the logger name maybe changed from version to version, even after minor upgrade)
-->
<!--
<levels>
<logger>
<name>ContextAccess (default)</name>
<level>none</level>
</logger>
<logger>
<name>DatabaseOrdinary (test)</name>
<level>none</level>
</logger>
</levels>
-->
</logger>
<timezone>Asia/Shanghai</timezone>
<database_atomic_delay_before_drop_table_sec>0</database_atomic_delay_before_drop_table_sec>
<!-- It is the name that will be shown in the clickhouse-client.
By default, anything with "production" will be highlighted in red in query prompt.
-->
<!--display_name>production</display_name-->
<!-- Port for HTTP API. See also 'https_port' for secure connections.
This interface is also used by ODBC and JDBC drivers (DataGrip, Dbeaver, ...)
and by most of web interfaces (embedded UI, Grafana, Redash, ...).
-->
<http_port>8123</http_port>
<!-- Port for interaction by native protocol with:
- clickhouse-client and other native ClickHouse tools (clickhouse-benchmark, clickhouse-copier);
- clickhouse-server with other clickhouse-servers for distributed query processing;
- ClickHouse drivers and applications supporting native protocol
(this protocol is also informally called as "the TCP protocol");
See also 'tcp_port_secure' for secure connections.
-->
<tcp_port>9000</tcp_port>
<!-- Compatibility with MySQL protocol.
ClickHouse will pretend to be MySQL for applications connecting to this port.
-->
<mysql_port>9004</mysql_port>
<!-- Compatibility with PostgreSQL protocol.
ClickHouse will pretend to be PostgreSQL for applications connecting to this port.
-->
<!-- <postgresql_port>9005</postgresql_port> -->
<!-- HTTP API with TLS (HTTPS).
You have to configure certificate to enable this interface.
See the openSSL section below.
-->
<!-- <https_port>8443</https_port> -->
<!-- Native interface with TLS.
You have to configure certificate to enable this interface.
See the openSSL section below.
-->
<!-- <tcp_port_secure>9440</tcp_port_secure> -->
<!-- Native interface wrapped with PROXYv1 protocol
PROXYv1 header sent for every connection.
ClickHouse will extract information about proxy-forwarded client address from the header.
-->
<!-- <tcp_with_proxy_port>9011</tcp_with_proxy_port> -->
<!-- Port for communication between replicas. Used for data exchange.
It provides low-level data access between servers.
This port should not be accessible from untrusted networks.
See also 'interserver_http_credentials'.
Data transferred over connections to this port should not go through untrusted networks.
See also 'interserver_https_port'.
-->
<interserver_http_port>9009</interserver_http_port>
<!-- Port for communication between replicas with TLS.
You have to configure certificate to enable this interface.
See the openSSL section below.
See also 'interserver_http_credentials'.
-->
<!-- <interserver_https_port>9010</interserver_https_port> -->
<!-- Hostname that is used by other replicas to request this server.
If not specified, than it is determined analogous to 'hostname -f' command.
This setting could be used to switch replication to another network interface
(the server may be connected to multiple networks via multiple addresses)
-->
<!--
<interserver_http_host>example.yandex.ru</interserver_http_host>
-->
<!-- You can specify credentials for authenthication between replicas.
This is required when interserver_https_port is accessible from untrusted networks,
and also recommended to avoid SSRF attacks from possibly compromised services in your network.
-->
<!--<interserver_http_credentials>
<user>interserver</user>
<password></password>
</interserver_http_credentials>-->
<!-- Listen specified address.
Use :: (wildcard IPv6 address), if you want to accept connections both with IPv4 and IPv6 from everywhere.
Notes:
If you open connections from wildcard address, make sure that at least one of the following measures applied:
- server is protected by firewall and not accessible from untrusted networks;
- all users are restricted to subset of network addresses (see users.xml);
- all users have strong passwords, only secure (TLS) interfaces are accessible, or connections are only made via TLS interfaces.
- users without password have readonly access.
See also: https://www.shodan.io/search?query=clickhouse
-->
<!-- <listen_host>::</listen_host> -->
<!-- Same for hosts without support for IPv6: -->
<!-- <listen_host>0.0.0.0</listen_host> -->
<listen_host>0.0.0.0</listen_host>
<!-- Default values - try listen localhost on IPv4 and IPv6. -->
<!--
<listen_host>::1</listen_host>
<listen_host>127.0.0.1</listen_host>
-->
<!-- Don't exit if IPv6 or IPv4 networks are unavailable while trying to listen. -->
<!-- <listen_try>0</listen_try> -->
<!-- Allow multiple servers to listen on the same address:port. This is not recommended.
-->
<!-- <listen_reuse_port>0</listen_reuse_port> -->
<!-- <listen_backlog>64</listen_backlog> -->
<max_connections>4096</max_connections>
<!-- For 'Connection: keep-alive' in HTTP 1.1 -->
<keep_alive_timeout>3</keep_alive_timeout>
<!-- gRPC protocol (see src/Server/grpc_protos/clickhouse_grpc.proto for the API) -->
<!-- <grpc_port>9100</grpc_port> -->
<grpc>
<enable_ssl>false</enable_ssl>
<!-- The following two files are used only if enable_ssl=1 -->
<ssl_cert_file>/path/to/ssl_cert_file</ssl_cert_file>
<ssl_key_file>/path/to/ssl_key_file</ssl_key_file>
<!-- Whether server will request client for a certificate -->
<ssl_require_client_auth>false</ssl_require_client_auth>
<!-- The following file is used only if ssl_require_client_auth=1 -->
<ssl_ca_cert_file>/path/to/ssl_ca_cert_file</ssl_ca_cert_file>
<!-- Default compression algorithm (applied if client doesn't specify another algorithm).
Supported algorithms: none, deflate, gzip, stream_gzip -->
<compression>deflate</compression>
<!-- Default compression level (applied if client doesn't specify another level).
Supported levels: none, low, medium, high -->
<compression_level>medium</compression_level>
<!-- Send/receive message size limits in bytes. -1 means unlimited -->
<max_send_message_size>-1</max_send_message_size>
<max_receive_message_size>-1</max_receive_message_size>
<!-- Enable if you want very detailed logs -->
<verbose_logs>false</verbose_logs>
</grpc>
<!-- Used with https_port and tcp_port_secure. Full ssl options list: https://github.com/ClickHouse-Extras/poco/blob/master/NetSSL_OpenSSL/include/Poco/Net/SSLManager.h#L71 -->
<openSSL>
<server> <!-- Used for https server AND secure tcp port -->
<!-- openssl req -subj "/CN=localhost" -new -newkey rsa:2048 -days 365 -nodes -x509 -keyout /etc/clickhouse-server/server.key -out /etc/clickhouse-server/server.crt -->
<certificateFile>/etc/clickhouse-server/server.crt</certificateFile>
<privateKeyFile>/etc/clickhouse-server/server.key</privateKeyFile>
<!-- dhparams are optional. You can delete the <dhParamsFile> element.
To generate dhparams, use the following command:
openssl dhparam -out /etc/clickhouse-server/dhparam.pem 4096
Only file format with BEGIN DH PARAMETERS is supported.
-->
<dhParamsFile>/etc/clickhouse-server/dhparam.pem</dhParamsFile>
<verificationMode>none</verificationMode>
<loadDefaultCAFile>true</loadDefaultCAFile>
<cacheSessions>true</cacheSessions>
<disableProtocols>sslv2,sslv3</disableProtocols>
<preferServerCiphers>true</preferServerCiphers>
</server>
<client> <!-- Used for connecting to https dictionary source and secured Zookeeper communication -->
<loadDefaultCAFile>true</loadDefaultCAFile>
<cacheSessions>true</cacheSessions>
<disableProtocols>sslv2,sslv3</disableProtocols>
<preferServerCiphers>true</preferServerCiphers>
<!-- Use for self-signed: <verificationMode>none</verificationMode> -->
<invalidCertificateHandler>
<!-- Use for self-signed: <name>AcceptCertificateHandler</name> -->
<name>RejectCertificateHandler</name>
</invalidCertificateHandler>
</client>
</openSSL>
<!-- Default root page on http[s] server. For example load UI from https://tabix.io/ when opening http://localhost:8123 -->
<!--
<http_server_default_response><![CDATA[<html ng-app="SMI2"><head><base href="http://ui.tabix.io/"></head><body><div ui-view="" class="content-ui"></div><script src="http://loader.tabix.io/master.js"></script></body></html>]]></http_server_default_response>
-->
<!-- Maximum number of concurrent queries. -->
<max_concurrent_queries>100</max_concurrent_queries>
<!-- Maximum memory usage (resident set size) for server process.
Zero value or unset means default. Default is "max_server_memory_usage_to_ram_ratio" of available physical RAM.
If the value is larger than "max_server_memory_usage_to_ram_ratio" of available physical RAM, it will be cut down.
The constraint is checked on query execution time.
If a query tries to allocate memory and the current memory usage plus allocation is greater
than specified threshold, exception will be thrown.
It is not practical to set this constraint to small values like just a few gigabytes,
because memory allocator will keep this amount of memory in caches and the server will deny service of queries.
-->
<max_server_memory_usage>0</max_server_memory_usage>
<!-- Maximum number of threads in the Global thread pool.
This will default to a maximum of 10000 threads if not specified.
This setting will be useful in scenarios where there are a large number
of distributed queries that are running concurrently but are idling most
of the time, in which case a higher number of threads might be required.
-->
<max_thread_pool_size>10000</max_thread_pool_size>
<!-- On memory constrained environments you may have to set this to value larger than 1.
-->
<max_server_memory_usage_to_ram_ratio>0.9</max_server_memory_usage_to_ram_ratio>
<!-- Simple server-wide memory profiler. Collect a stack trace at every peak allocation step (in bytes).
Data will be stored in system.trace_log table with query_id = empty string.
Zero means disabled.
-->
<total_memory_profiler_step>4194304</total_memory_profiler_step>
<!-- Collect random allocations and deallocations and write them into system.trace_log with 'MemorySample' trace_type.
The probability is for every alloc/free regardless to the size of the allocation.
Note that sampling happens only when the amount of untracked memory exceeds the untracked memory limit,
which is 4 MiB by default but can be lowered if 'total_memory_profiler_step' is lowered.
You may want to set 'total_memory_profiler_step' to 1 for extra fine grained sampling.
-->
<total_memory_tracker_sample_probability>0</total_memory_tracker_sample_probability>
<!-- Set limit on number of open files (default: maximum). This setting makes sense on Mac OS X because getrlimit() fails to retrieve
correct maximum value. -->
<!-- <max_open_files>262144</max_open_files> -->
<!-- Size of cache of uncompressed blocks of data, used in tables of MergeTree family.
In bytes. Cache is single for server. Memory is allocated only on demand.
Cache is used when 'use_uncompressed_cache' user setting turned on (off by default).
Uncompressed cache is advantageous only for very short queries and in rare cases.
Note: uncompressed cache can be pointless for lz4, because memory bandwidth
is slower than multi-core decompression on some server configurations.
Enabling it can sometimes paradoxically make queries slower.
-->
<uncompressed_cache_size>8589934592</uncompressed_cache_size>
<!-- Approximate size of mark cache, used in tables of MergeTree family.
In bytes. Cache is single for server. Memory is allocated only on demand.
You should not lower this value.
-->
<mark_cache_size>5368709120</mark_cache_size>
<!-- Path to data directory, with trailing slash. -->
<path>/var/lib/clickhouse/</path>
<!-- Path to temporary data for processing hard queries. -->
<tmp_path>/var/lib/clickhouse/tmp/</tmp_path>
<!-- Policy from the <storage_configuration> for the temporary files.
If not set <tmp_path> is used, otherwise <tmp_path> is ignored.
Notes:
- move_factor is ignored
- keep_free_space_bytes is ignored
- max_data_part_size_bytes is ignored
- you must have exactly one volume in that policy
-->
<!-- <tmp_policy>tmp</tmp_policy> -->
<!-- Directory with user provided files that are accessible by 'file' table function. -->
<user_files_path>/var/lib/clickhouse/user_files/</user_files_path>
<!-- LDAP server definitions. -->
<ldap_servers>
<!-- List LDAP servers with their connection parameters here to later 1) use them as authenticators for dedicated local users,
who have 'ldap' authentication mechanism specified instead of 'password', or to 2) use them as remote user directories.
Parameters:
host - LDAP server hostname or IP, this parameter is mandatory and cannot be empty.
port - LDAP server port, default is 636 if enable_tls is set to true, 389 otherwise.
bind_dn - template used to construct the DN to bind to.
The resulting DN will be constructed by replacing all '{user_name}' substrings of the template with the actual
user name during each authentication attempt.
verification_cooldown - a period of time, in seconds, after a successful bind attempt, during which a user will be assumed
to be successfully authenticated for all consecutive requests without contacting the LDAP server.
Specify 0 (the default) to disable caching and force contacting the LDAP server for each authentication request.
enable_tls - flag to trigger use of secure connection to the LDAP server.
Specify 'no' for plain text (ldap://) protocol (not recommended).
Specify 'yes' for LDAP over SSL/TLS (ldaps://) protocol (recommended, the default).
Specify 'starttls' for legacy StartTLS protocol (plain text (ldap://) protocol, upgraded to TLS).
tls_minimum_protocol_version - the minimum protocol version of SSL/TLS.
Accepted values are: 'ssl2', 'ssl3', 'tls1.0', 'tls1.1', 'tls1.2' (the default).
tls_require_cert - SSL/TLS peer certificate verification behavior.
Accepted values are: 'never', 'allow', 'try', 'demand' (the default).
tls_cert_file - path to certificate file.
tls_key_file - path to certificate key file.
tls_ca_cert_file - path to CA certificate file.
tls_ca_cert_dir - path to the directory containing CA certificates.
tls_cipher_suite - allowed cipher suite (in OpenSSL notation).
Example:
<my_ldap_server>
<host>localhost</host>
<port>636</port>
<bind_dn>uid={user_name},ou=users,dc=example,dc=com</bind_dn>
<verification_cooldown>300</verification_cooldown>
<enable_tls>yes</enable_tls>
<tls_minimum_protocol_version>tls1.2</tls_minimum_protocol_version>
<tls_require_cert>demand</tls_require_cert>
<tls_cert_file>/path/to/tls_cert_file</tls_cert_file>
<tls_key_file>/path/to/tls_key_file</tls_key_file>
<tls_ca_cert_file>/path/to/tls_ca_cert_file</tls_ca_cert_file>
<tls_ca_cert_dir>/path/to/tls_ca_cert_dir</tls_ca_cert_dir>
<tls_cipher_suite>ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:AES256-GCM-SHA384</tls_cipher_suite>
</my_ldap_server>
-->
</ldap_servers>
<!-- Sources to read users, roles, access rights, profiles of settings, quotas. -->
<user_directories>
<users_xml>
<!-- Path to configuration file with predefined users. -->
<path>users.xml</path>
</users_xml>
<local_directory>
<!-- Path to folder where users created by SQL commands are stored. -->
<path>/var/lib/clickhouse/access/</path>
</local_directory>
<!-- To add an LDAP server as a remote user directory of users that are not defined locally, define a single 'ldap' section
with the following parameters:
server - one of LDAP server names defined in 'ldap_servers' config section above.
This parameter is mandatory and cannot be empty.
roles - section with a list of locally defined roles that will be assigned to each user retrieved from the LDAP server.
If no roles are specified here or assigned during role mapping (below), user will not be able to perform any
actions after authentication.
role_mapping - section with LDAP search parameters and mapping rules.
When a user authenticates, while still bound to LDAP, an LDAP search is performed using search_filter and the
name of the logged in user. For each entry found during that search, the value of the specified attribute is
extracted. For each attribute value that has the specified prefix, the prefix is removed, and the rest of the
value becomes the name of a local role defined in ClickHouse, which is expected to be created beforehand by
CREATE ROLE command.
There can be multiple 'role_mapping' sections defined inside the same 'ldap' section. All of them will be
applied.
base_dn - template used to construct the base DN for the LDAP search.
The resulting DN will be constructed by replacing all '{user_name}' and '{bind_dn}' substrings
of the template with the actual user name and bind DN during each LDAP search.
scope - scope of the LDAP search.
Accepted values are: 'base', 'one_level', 'children', 'subtree' (the default).
search_filter - template used to construct the search filter for the LDAP search.
The resulting filter will be constructed by replacing all '{user_name}', '{bind_dn}', and '{base_dn}'
substrings of the template with the actual user name, bind DN, and base DN during each LDAP search.
Note, that the special characters must be escaped properly in XML.
attribute - attribute name whose values will be returned by the LDAP search.
prefix - prefix, that will be expected to be in front of each string in the original list of strings returned by
the LDAP search. Prefix will be removed from the original strings and resulting strings will be treated
as local role names. Empty, by default.
Example:
<ldap>
<server>my_ldap_server</server>
<roles>
<my_local_role1 />
<my_local_role2 />
</roles>
<role_mapping>
<base_dn>ou=groups,dc=example,dc=com</base_dn>
<scope>subtree</scope>
<search_filter>(&(objectClass=groupOfNames)(member={bind_dn}))</search_filter>
<attribute>cn</attribute>
<prefix>clickhouse_</prefix>
</role_mapping>
</ldap>
-->
</user_directories>
<!-- Default profile of settings. -->
<default_profile>default</default_profile>
<!-- Comma-separated list of prefixes for user-defined settings. -->
<custom_settings_prefixes></custom_settings_prefixes>
<!-- System profile of settings. This settings are used by internal processes (Distributed DDL worker and so on). -->
<!-- <system_profile>default</system_profile> -->
<!-- Buffer profile of settings.
This settings are used by Buffer storage to flush data to the underlying table.
Default: used from system_profile directive.
-->
<!-- <buffer_profile>default</buffer_profile> -->
<!-- Default database. -->
<default_database>default</default_database>
<!-- Server time zone could be set here.
Time zone is used when converting between String and DateTime types,
when printing DateTime in text formats and parsing DateTime from text,
it is used in date and time related functions, if specific time zone was not passed as an argument.
Time zone is specified as identifier from IANA time zone database, like UTC or Africa/Abidjan.
If not specified, system time zone at server startup is used.
Please note, that server could display time zone alias instead of specified name.
Example: W-SU is an alias for Europe/Moscow and Zulu is an alias for UTC.
-->
<!-- <timezone>Europe/Moscow</timezone> -->
<!-- You can specify umask here (see "man umask"). Server will apply it on startup.
Number is always parsed as octal. Default umask is 027 (other users cannot read logs, data files, etc; group can only read).
-->
<!-- <umask>022</umask> -->
<!-- Perform mlockall after startup to lower first queries latency
and to prevent clickhouse executable from being paged out under high IO load.
Enabling this option is recommended but will lead to increased startup time for up to a few seconds.
-->
<mlock_executable>true</mlock_executable>
<!-- Reallocate memory for machine code ("text") using huge pages. Highly experimental. -->
<remap_executable>false</remap_executable>
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.tech/docs/en/operations/table_engines/distributed/
-->
<remote_servers>
<default_cluster>
<shard>
<internal_replication>true</internal_replication>
<replica>
<host>ch01</host>
<port>9000</port>
<user>default</user>
<password>1qaz!@#$</password>
</replica>
<replica>
<host>ch02</host>
<port>9000</port>
<user>default</user>
<password>1qaz!@#$</password>
</replica>
</shard>
</default_cluster>
</remote_servers>
<!-- The list of hosts allowed to use in URL-related storage engines and table functions.
If this section is not present in configuration, all hosts are allowed.
-->
<remote_url_allow_hosts>
<!-- Host should be specified exactly as in URL. The name is checked before DNS resolution.
Example: "yandex.ru", "yandex.ru." and "www.yandex.ru" are different hosts.
If port is explicitly specified in URL, the host:port is checked as a whole.
If host specified here without port, any port with this host allowed.
"yandex.ru" -> "yandex.ru:443", "yandex.ru:80" etc. is allowed, but "yandex.ru:80" -> only "yandex.ru:80" is allowed.
If the host is specified as IP address, it is checked as specified in URL. Example: "[2a02:6b8:a::a]".
If there are redirects and support for redirects is enabled, every redirect (the Location field) is checked.
-->
<!-- Regular expression can be specified. RE2 engine is used for regexps.
Regexps are not aligned: don't forget to add ^ and $. Also don't forget to escape dot (.) metacharacter
(forgetting to do so is a common source of error).
-->
</remote_url_allow_hosts>
<!-- 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.
-->
<!--
ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/
-->
<!--
<zookeeper>
<node>
<host>example1</host>
<port>2181</port>
</node>
<node>
<host>example2</host>
<port>2181</port>
</node>
<node>
<host>example3</host>
<port>2181</port>
</node>
</zookeeper>
-->
<zookeeper>
<node>
<host>zk01</host>
<port>2181</port>
</node>
<node>
<host>zk02</host>
<port>2181</port>
</node>
<node>
<host>zk03</host>
<port>2181</port>
</node>
</zookeeper>
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables
-->
<!--
<macros>
<shard>01</shard>
<replica>example01-01-1</replica>
</macros>
-->
<macros>
<shard>1</shard>
<replica>rep_1_1</replica>
</macros>
<default_replica_path>/clickhouse/tables/{shard}/{database}/{table}</default_replica_path>
<default_replica_name>{replica}</default_replica_name>
<!-- Reloading interval for embedded dictionaries, in seconds. Default: 3600. -->
<builtin_dictionaries_reload_interval>3600</builtin_dictionaries_reload_interval>
<!-- Maximum session timeout, in seconds. Default: 3600. -->
<max_session_timeout>3600</max_session_timeout>
<!-- Default session timeout, in seconds. Default: 60. -->
<default_session_timeout>60</default_session_timeout>
<!-- Sending data to Graphite for monitoring. Several sections can be defined. -->
<!--
interval - send every X second
root_path - prefix for keys
hostname_in_path - append hostname to root_path (default = true)
metrics - send data from table system.metrics
events - send data from table system.events
asynchronous_metrics - send data from table system.asynchronous_metrics
-->
<!--
<graphite>
<host>localhost</host>
<port>42000</port>
<timeout>0.1</timeout>
<interval>60</interval>
<root_path>one_min</root_path>
<hostname_in_path>true</hostname_in_path>
<metrics>true</metrics>
<events>true</events>
<events_cumulative>false</events_cumulative>
<asynchronous_metrics>true</asynchronous_metrics>
</graphite>
<graphite>
<host>localhost</host>
<port>42000</port>
<timeout>0.1</timeout>
<interval>1</interval>
<root_path>one_sec</root_path>
<metrics>true</metrics>
<events>true</events>
<events_cumulative>false</events_cumulative>
<asynchronous_metrics>false</asynchronous_metrics>
</graphite>
-->
<!-- Serve endpoint for Prometheus monitoring. -->
<!--
endpoint - mertics path (relative to root, statring with "/")
port - port to setup server. If not defined or 0 than http_port used
metrics - send data from table system.metrics
events - send data from table system.events
asynchronous_metrics - send data from table system.asynchronous_metrics
status_info - send data from different component from CH, ex: Dictionaries status
-->
<!--
<prometheus>
<endpoint>/metrics</endpoint>
<port>9363</port>
<metrics>true</metrics>
<events>true</events>
<asynchronous_metrics>true</asynchronous_metrics>
<status_info>true</status_info>
</prometheus>
-->
<!-- Query log. Used only for queries with setting log_queries = 1. -->
<query_log>
<!-- What table to insert data. If table is not exist, it will be created.
When query log structure is changed after system update,
then old table will be renamed and new table will be created automatically.
-->
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr: https://clickhouse.yandex/docs/en/table_engines/mergetree-family/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
toYYYYMM(event_date)
toStartOfHour(event_time)
-->
<partition_by>toYYYYMM(event_date)</partition_by>
<!--
Table TTL specification: https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl
Example:
event_date + INTERVAL 1 WEEK
event_date + INTERVAL 7 DAY DELETE
event_date + INTERVAL 2 WEEK TO DISK 'bbb'
<ttl>event_date + INTERVAL 30 DAY DELETE</ttl>
-->
<!-- Instead of partition_by, you can provide full engine expression (starting with ENGINE = ) with parameters,
Example: <engine>ENGINE = MergeTree PARTITION BY toYYYYMM(event_date) ORDER BY (event_date, event_time) SETTINGS index_granularity = 1024</engine>
-->
<!-- Interval of flushing data. -->
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</query_log>
<!-- Trace log. Stores stack traces collected by query profilers.
See query_profiler_real_time_period_ns and query_profiler_cpu_time_period_ns settings. -->
<trace_log>
<database>system</database>
<table>trace_log</table>
<partition_by>toYYYYMM(event_date)</partition_by>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</trace_log>
<!-- Query thread log. Has information about all threads participated in query execution.
Used only for queries with setting log_query_threads = 1. -->
<query_thread_log>
<database>system</database>
<table>query_thread_log</table>
<partition_by>toYYYYMM(event_date)</partition_by>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</query_thread_log>
<!-- Uncomment if use part log.
Part log contains information about all actions with parts in MergeTree tables (creation, deletion, merges, downloads).
<part_log>
<database>system</database>
<table>part_log</table>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</part_log>
-->
<!-- Uncomment to write text log into table.
Text log contains all information from usual server log but stores it in structured and efficient way.
The level of the messages that goes to the table can be limited (<level>), if not specified all messages will go to the table.
<text_log>
<database>system</database>
<table>text_log</table>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
<level></level>
</text_log>
-->
<!-- Metric log contains rows with current values of ProfileEvents, CurrentMetrics collected with "collect_interval_milliseconds" interval. -->
<metric_log>
<database>system</database>
<table>metric_log</table>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
<collect_interval_milliseconds>1000</collect_interval_milliseconds>
</metric_log>
<!--
Asynchronous metric log contains values of metrics from
system.asynchronous_metrics.
-->
<asynchronous_metric_log>
<database>system</database>
<table>asynchronous_metric_log</table>
<!--
Asynchronous metrics are updated once a minute, so there is
no need to flush more often.
-->
<flush_interval_milliseconds>60000</flush_interval_milliseconds>
</asynchronous_metric_log>
<!--
OpenTelemetry log contains OpenTelemetry trace spans.
-->
<opentelemetry_span_log>
<!--
The default table creation code is insufficient, this <engine> spec
is a workaround. There is no 'event_time' for this log, but two times,
start and finish. It is sorted by finish time, to avoid inserting
data too far away in the past (probably we can sometimes insert a span
that is seconds earlier than the last span in the table, due to a race
between several spans inserted in parallel). This gives the spans a
global order that we can use to e.g. retry insertion into some external
system.
-->
<engine>
engine MergeTree
partition by toYYYYMM(finish_date)
order by (finish_date, finish_time_us, trace_id)
</engine>
<database>system</database>
<table>opentelemetry_span_log</table>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</opentelemetry_span_log>
<!-- Crash log. Stores stack traces for fatal errors.
This table is normally empty. -->
<crash_log>
<database>system</database>
<table>crash_log</table>
<partition_by />
<flush_interval_milliseconds>1000</flush_interval_milliseconds>
</crash_log>
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.yandex/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
<!-- <path_to_regions_hierarchy_file>/opt/geo/regions_hierarchy.txt</path_to_regions_hierarchy_file> -->
<!-- Path to directory with files containing names of regions -->
<!-- <path_to_regions_names_files>/opt/geo/</path_to_regions_names_files> -->
<!-- <top_level_domains_path>/var/lib/clickhouse/top_level_domains/</top_level_domains_path> -->
<!-- Custom TLD lists.
Format: <name>/path/to/file</name>
Changes will not be applied w/o server restart.
Path to the list is under top_level_domains_path (see above).
-->
<top_level_domains_lists>
<!--
<public_suffix_list>/path/to/public_suffix_list.dat</public_suffix_list>
-->
</top_level_domains_lists>
<!-- Configuration of external dictionaries. See:
https://clickhouse.tech/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>
<!-- Uncomment if you want data to be compressed 30-100% better.
Don't do that if you just started using ClickHouse.
-->
<!--
<compression>
<!- - Set of variants. Checked in order. Last matching case wins. If nothing matches, lz4 will be used. - ->
<case>
<!- - Conditions. All must be satisfied. Some conditions may be omitted. - ->
<min_part_size>10000000000</min_part_size> <!- - Min part size in bytes. - ->
<min_part_size_ratio>0.01</min_part_size_ratio> <!- - Min size of part relative to whole table size. - ->
<!- - What compression method to use. - ->
<method>zstd</method>
</case>
</compression>
-->
<!-- Allow to execute distributed DDL queries (CREATE, DROP, ALTER, RENAME) on cluster.
Works only if ZooKeeper is enabled. Comment it if such functionality isn't required. -->
<distributed_ddl>
<!-- Path in ZooKeeper to queue with DDL queries -->
<path>/clickhouse/task_queue/ddl</path>
<!-- Settings from this profile will be used to execute DDL queries -->
<!-- <profile>default</profile> -->
<!-- Controls how much ON CLUSTER queries can be run simultaneously. -->
<!-- <pool_size>1</pool_size> -->
<!--
Cleanup settings (active tasks will not be removed)
-->
<!-- Controls task TTL (default 1 week) -->
<!-- <task_max_lifetime>604800</task_max_lifetime> -->
<!-- Controls how often cleanup should be performed (in seconds) -->
<!-- <cleanup_delay_period>60</cleanup_delay_period> -->
<!-- Controls how many tasks could be in the queue -->
<!-- <max_tasks_in_queue>1000</max_tasks_in_queue> -->
</distributed_ddl>
<!-- Settings to fine tune MergeTree tables. See documentation in source code, in MergeTreeSettings.h -->
<!--
<merge_tree>
<max_suspicious_broken_parts>5</max_suspicious_broken_parts>
</merge_tree>
-->
<!-- Protection from accidental DROP.
If size of a MergeTree table is greater than max_table_size_to_drop (in bytes) than table could not be dropped with any DROP query.
If you want do delete one table and don't want to change clickhouse-server config, you could create special file <clickhouse-path>/flags/force_drop_table and make DROP once.
By default max_table_size_to_drop is 50GB; max_table_size_to_drop=0 allows to DROP any tables.
The same for max_partition_size_to_drop.
Uncomment to disable protection.
-->
<!-- <max_table_size_to_drop>0</max_table_size_to_drop> -->
<!-- <max_partition_size_to_drop>0</max_partition_size_to_drop> -->
<!-- Example of parameters for GraphiteMergeTree table engine -->
<graphite_rollup_example>
<pattern>
<regexp>click_cost</regexp>
<function>any</function>
<retention>
<age>0</age>
<precision>3600</precision>
</retention>
<retention>
<age>86400</age>
<precision>60</precision>
</retention>
</pattern>
<default>
<function>max</function>
<retention>
<age>0</age>
<precision>60</precision>
</retention>
<retention>
<age>3600</age>
<precision>300</precision>
</retention>
<retention>
<age>86400</age>
<precision>3600</precision>
</retention>
</default>
</graphite_rollup_example>
<!-- Directory in <clickhouse-path> containing schema files for various input formats.
The directory will be created if it doesn't exist.
-->
<format_schema_path>/var/lib/clickhouse/format_schemas/</format_schema_path>
<!-- Default query masking rules, matching lines would be replaced with something else in the logs
(both text logs and system.query_log).
name - name for the rule (optional)
regexp - RE2 compatible regular expression (mandatory)
replace - substitution string for sensitive data (optional, by default - six asterisks)
-->
<query_masking_rules>
<rule>
<name>hide encrypt/decrypt arguments</name>
<regexp>((?:aes_)?(?:encrypt|decrypt)(?:_mysql)?)\s*\(\s*(?:'(?:\\'|.)+'|.*?)\s*\)</regexp>
<!-- or more secure, but also more invasive:
(aes_\w+)\s*\(.*\)
-->
<replace>\1(???)</replace>
</rule>
</query_masking_rules>
<!-- Uncomment to use custom http handlers.
rules are checked from top to bottom, first match runs the handler
url - to match request URL, you can use 'regex:' prefix to use regex match(optional)
methods - to match request method, you can use commas to separate multiple method matches(optional)
headers - to match request headers, match each child element(child element name is header name), you can use 'regex:' prefix to use regex match(optional)
handler is request handler
type - supported types: static, dynamic_query_handler, predefined_query_handler
query - use with predefined_query_handler type, executes query when the handler is called
query_param_name - use with dynamic_query_handler type, extracts and executes the value corresponding to the <query_param_name> value in HTTP request params
status - use with static type, response status code
content_type - use with static type, response content-type
response_content - use with static type, Response content sent to client, when using the prefix 'file://' or 'config://', find the content from the file or configuration send to client.
<http_handlers>
<rule>
<url>/</url>
<methods>POST,GET</methods>
<headers><pragma>no-cache</pragma></headers>
<handler>
<type>dynamic_query_handler</type>
<query_param_name>query</query_param_name>
</handler>
</rule>
<rule>
<url>/predefined_query</url>
<methods>POST,GET</methods>
<handler>
<type>predefined_query_handler</type>
<query>SELECT * FROM system.settings</query>
</handler>
</rule>
<rule>
<handler>
<type>static</type>
<status>200</status>
<content_type>text/plain; charset=UTF-8</content_type>
<response_content>config://http_server_default_response</response_content>
</handler>
</rule>
</http_handlers>
-->
<send_crash_reports>
<!-- Changing <enabled> to true allows sending crash reports to -->
<!-- the ClickHouse core developers team via Sentry https://sentry.io -->
<!-- Doing so at least in pre-production environments is highly appreciated -->
<enabled>false</enabled>
<!-- Change <anonymize> to true if you don't feel comfortable attaching the server hostname to the crash report -->
<anonymize>false</anonymize>
<!-- Default endpoint should be changed to different Sentry DSN only if you have -->
<!-- some in-house engineers or hired consultants who're going to debug ClickHouse issues for you -->
<endpoint>https://6f33034cfe684dd7a3ab9875e57b1c8d@o388870.ingest.sentry.io/5226277</endpoint>
</send_crash_reports>
<!-- Uncomment to disable ClickHouse internal DNS caching. -->
<!-- <disable_internal_dns_cache>1</disable_internal_dns_cache> -->
</yandex>
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修改 配置中的 数据路径，选择挂载的大容量磁盘路径
编辑 users.xml 清空 内容，将以下内容粘贴进去
<?xml version="1.0"?>
<yandex>
<profiles>
<default>
<max_memory_usage>10000000000</max_memory_usage>
<load_balancing>random</load_balancing>
</default>
<readonly>
<readonly>1</readonly>
</readonly>
</profiles>
<users>
<default>
<password>1qaz!@#$</password>
<networks>
<ip>::/0</ip>
</networks>
<profile>default</profile>
<quota>default</quota>
</default>
</users>
<quotas>
<default>
<interval>
<duration>3600</duration>
<queries>0</queries>
<errors>0</errors>
<result_rows>0</result_rows>
<read_rows>0</read_rows>
<execution_time>0</execution_time>
</interval>
</default>
</quotas>
</yandex>
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重启clickhouse 服务并查看状态
[root@ch01 clickhouse-server]# systemctl stop clickhouse-server.service
[root@ch01 clickhouse-server]# systemctl start clickhouse-server.service
[root@ch01 clickhouse-server]# systemctl status clickhouse-server.service
● clickhouse-server.service - ClickHouse Server (analytic DBMS for big data)
Loaded: loaded (/etc/systemd/system/clickhouse-server.service; enabled; vendor preset: disabled)
Active: active (running) since 四 2022-06-30 14:16:41 CST; 1s ago
Main PID: 3189 (clckhouse-watch)
Tasks: 47
Memory: 83.0M
CGroup: /system.slice/clickhouse-server.service
├─3189 clickhouse-watchdog --config=/etc/clickhouse-server/config.xml --pid-file=/run/clickhouse-server/clickhouse-server.pid
└─3190 /usr/bin/clickhouse-server --config=/etc/clickhouse-server/config.xml --pid-file=/run/clickhouse-server/clickhouse-server.pid
6月 30 14:16:41 ch01 systemd[1]: Started ClickHouse Server (analytic DBMS for big data).
6月 30 14:16:41 ch01 clickhouse-server[3189]: Processing configuration file '/etc/clickhouse-server/config.xml'.
6月 30 14:16:41 ch01 clickhouse-server[3189]: Logging trace to /var/log/clickhouse-server/clickhouse-server.log
6月 30 14:16:41 ch01 clickhouse-server[3189]: Logging errors to /var/log/clickhouse-server/clickhouse-server.err.log
6月 30 14:16:41 ch01 clickhouse-server[3189]: Processing configuration file '/etc/clickhouse-server/config.xml'.
6月 30 14:16:41 ch01 clickhouse-server[3189]: Saved preprocessed configuration to '/var/lib/clickhouse/preprocessed_configs/config.xml'.
6月 30 14:16:41 ch01 clickhouse-server[3189]: Processing configuration file '/etc/clickhouse-server/users.xml'.
6月 30 14:16:41 ch01 clickhouse-server[3189]: Saved preprocessed configuration to '/var/lib/clickhouse/preprocessed_configs/users.xml'.
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另外一个节点按照上面的方式操作，注意：第二个节点在 修改 config.xml 注意
<macros>
<shard>1</shard>
<replica>rep_1_2</replica>
</macros>
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将 macros标签下的 replica 的值由改成 rep_1_2
然后重启clichouse
6、建库建表
1、登录上 节点1 clickhouse 创建集群数据库 log_fact_point
[root@ch01 clickhouse-server]# clickhouse-client -m -h localhost --port 9000 -u default --password
ClickHouse client version 21.3.4.25 (official build).
Password for user (default):
Connecting to localhost:9000 as user default.
Connected to ClickHouse server version 21.3.4 revision 54447.
# 创建集群数据库
ch01 :) create database log_fact_point on cluster default_cluster ;
CREATE DATABASE log_fact_point ON CLUSTER default_cluster
Query id: f6faf1b8-a073-49b7-9e36-e4fe0336227d
┌─host─┬─port─┬─status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
│ ch02 │ 9000 │ 0 │ │ 1 │ 0 │
│ ch01 │ 9000 │ 0 │ │ 0 │ 0 │
└──────┴──────┴────────┴───────┴─────────────────────┴──────────────────┘
2 rows in set. Elapsed: 0.112 sec.
# -- 查看数据库
ch01 :) show databases;
SHOW DATABASES
Query id: df029da1-890d-4584-b0a3-89abcbe47c82
┌─name───────────┐
│ default │
│ log_fact_point │
│ system │
└────────────────┘
3 rows in set. Elapsed: 0.001 sec.
# -- 进入数据库
ch01 :) use log_fact_point;
USE log_fact_point
Query id: 8500d813-abe0-4f35-98cf-b2a47d04b1df
Ok.
0 rows in set. Elapsed: 0.001 sec.
# -- 创建本地表
ch01 :)
:-] CREATE TABLE log_fact_point.log_school_screen_dynamic ON cluster default_cluster
:-] (
:-] `id` String COMMENT 'id',
:-] `type` Int32 COMMENT '类型(1、教师布置作业，学生提交作业 2、教师上传资源 3、评价动态 4、互动动态)',
:-] `operation_id` String COMMENT '操作对应业务表的id',
:-] `realname` String COMMENT '操作人真实姓名',
:-] `create_time` DateTime64(3) COMMENT '操作时间',
:-] `operation` String COMMENT '操作内容',
:-] `school_id` String COMMENT '学校id'
:-] )
:-] ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/log_fact_point/log_school_screen_dynamic', '{replica}')
:-] PARTITION BY toYYYYMM(create_time)
:-] PRIMARY KEY id
:-] ORDER BY (id, create_time)
:-] ;
CREATE TABLE log_fact_point.log_school_screen_dynamic ON CLUSTER default_cluster
(
`id` String COMMENT 'id',
`type` Int32 COMMENT '类型(1、教师布置作业，学生提交作业 2、教师上传资源 3、评价动态 4、互动动态)',
`operation_id` String COMMENT '操作对应业务表的id',
`realname` String COMMENT '操作人真实姓名',
`create_time` DateTime64(3) COMMENT '操作时间',
`operation` String COMMENT '操作内容',
`school_id` String COMMENT '学校id'
)
ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/log_fact_point/log_school_screen_dynamic', '{replica}')
PARTITION BY toYYYYMM(create_time)
PRIMARY KEY id
ORDER BY (id, create_time);
Query id: db859174-14ae-4d7f-932f-785fb2f3b295
┌─host─┬─port─┬─status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
│ ch02 │ 9000 │ 0 │ │ 1 │ 0 │
│ ch01 │ 9000 │ 0 │ │ 0 │ 0 │
└──────┴──────┴────────┴───────┴─────────────────────┴──────────────────┘
2 rows in set. Elapsed: 0.109 sec.
# -- 创建分布式表
ch01 :) CREATE TABLE log_fact_point.log_school_screen_dynamic_dist ON CLUSTER default_cluster AS log_fact_point.log_school_screen_dynamic ENGINE = Distributed(default_cluster, log_fact_point, log_school_screen_dynamic, rand());
CREATE TABLE log_fact_point.log_school_screen_dynamic_dist ON CLUSTER default_cluster AS log_fact_point.log_school_screen_dynamic
ENGINE = Distributed(default_cluster, log_fact_point, log_school_screen_dynamic, rand())
Query id: 93928c86-e5f4-40a4-97a3-d3b11963d31f
┌─host─┬─port─┬─status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
│ ch02 │ 9000 │ 0 │ │ 1 │ 0 │
│ ch01 │ 9000 │ 0 │ │ 0 │ 0 │
└──────┴──────┴────────┴───────┴─────────────────────┴──────────────────┘
2 rows in set. Elapsed: 0.111 sec.
# -- 查看数据表
ch01 :) show tables;
SHOW TABLES
Query id: a77b90e5-51c6-43c0-b14a-81a29ec5ef16
┌─name───────────────────────────┐
│ log_school_screen_dynamic │
│ log_school_screen_dynamic_dist │
└────────────────────────────────┘
2 rows in set. Elapsed: 0.002 sec.
ch01 :)
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2、登录上 节点2 clickhouse 查看刚刚在节点1上 创建数据库 和表
[root@ch02 ~]# clickhouse-client -m -h localhost --port 9000 -u default --password
ClickHouse client version 21.3.4.25 (official build).
Password for user (default): # 输入密码 ******
Connecting to localhost:9000 as user default.
Connected to ClickHouse server version 21.3.4 revision 54447.
ch02 :) create database log_fact_point;
CREATE DATABASE log_fact_point
Query id: 09374849-50fb-44ab-bb35-3a6e69466d48
Ok.
0 rows in set. Elapsed: 0.003 sec.
# --查看数据库
ch02 :) show databases;
SHOW DATABASES
Query id: 916b0d54-ab5e-404b-9d6e-3223520c4396
┌─name───────────┐
│ default │
│ log_fact_point │
│ system │
└────────────────┘
3 rows in set. Elapsed: 0.002 sec.
# --进入数据库
ch02 :) use log_fact_point;
USE log_fact_point
Query id: f255930e-3836-4075-9be1-24a481d547f0
Ok.
0 rows in set. Elapsed: 0.001 sec.
# --查看数据表
ch02 :) show tables;
SHOW TABLES
Query id: d93c0818-0636-4475-8b99-02b401aa1b38
┌─name───────────────────────────┐
│ log_school_screen_dynamic │
│ log_school_screen_dynamic_dist │
└────────────────────────────────┘
2 rows in set. Elapsed: 0.002 sec.
ch02 :)
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验证成功
到此 clickhouse 分布式集群安装部署完成。
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