windows2019下Docker部署Always on集群测试

2022-11-21 18:10:11

我是在windows2019上的docker上测试的。容器类型为linux。

原文为 https://blog.csdn.net/qianglei6077/article/details/107055554

注意：测试的时候最好内存足够大。我是16g内存。开启三个sqlserver容器，外加一个portainer。有时候有容器的内存不够，出现报错或连不上的情况。这时候最好重启容器，如果还不行，就停一个，执行完命令，再启动。sqlserver的镜像使用的2019开发版。

架构

主机名	IP	端口	角色
sqlNode1		宿主机IP	1501:1433
sqlNode2	宿主机IP	1502:1433	副本
sqlNode3	宿主机IP	1503:1433	副本

docker pull ubuntu:18.04
docker pull mcr.microsoft.com/mssql/server:2019-latest

dockerfile内容如下


FROM ubuntu:18.04
 
RUN apt-get update
 
RUN apt install sudo wget curl gnupg gnupg1 gnupg2 -y
RUN apt install software-properties-common systemd vim -y
RUN wget -qO- https://packages.microsoft.com/keys/microsoft.asc | sudo apt-key add -
 
RUN add-apt-repository "$(wget -qO- https://packages.microsoft.com/config/ubuntu/18.04/mssql-server-2019.list)"
RUN apt-get update
RUN apt-get install -y mssql-server
 
RUN /opt/mssql/bin/mssql-conf set hadr.hadrenabled  1
RUN /opt/mssql/bin/mssql-conf set sqlagent.enabled true
 
EXPOSE 1433
 
ENTRYPOINT /opt/mssql/bin/sqlservr

在文件所在目录执行

 docker build -t sqlag2019:ha .

创建docker-compose文件

version: '3'
 
services:
  db1:
    container_name: sqlNode1
    image: sqlag2019:ha
    hostname: sqlNode1
    domainname: lab.local
    environment:
      SA_PASSWORD: "MyPassWord123"
      ACCEPT_EULA: "Y"
    ports:
    - "1501:1433"
    extra_hosts:
      sqlNode2.labl.local: "172.16.238.22"
      sqlNode3.labl.local: "172.16.238.23"
    networks:
        internal:
                ipv4_address: 172.16.238.21
 
  db2:
    container_name: sqlNode2
    image: sqlag2019:ha
    hostname: sqlNode2
    domainname: lab.local
    environment:
      SA_PASSWORD: "MyPassWord123"
      ACCEPT_EULA: "Y"
    ports:
    - "1502:1433"
    extra_hosts:
      sqlNode1.lab.local: "172.16.238.21"
      sqlNode3.lab.local: "172.16.238.23"
    networks:
        internal:
                ipv4_address: 172.16.238.22
 
  db3:
    container_name: sqlNode3
    image: sqlag2019:ha
    hostname: sqlNode3
    domainname: lab.local
    environment:
      SA_PASSWORD: "MyPassWord123"
      ACCEPT_EULA: "Y"
    ports:
    - "1503:1433"
    extra_hosts:
      sqlNode1.lab.local: "172.16.238.21"
      sqlNode2.lab.local: "172.16.238.22"
    networks:
        internal:
                ipv4_address: 172.16.238.23
 
networks:
    internal:
      ipam:
            driver: default
            config:
                - subnet: 172.16.238.0/24

启动容器

docker-compose up -d

SSMS连接MSSQL
通过宿主机的外网IP+端口连接相应的数据库，如下：

配置-数据库
这部分就是在数据库中进行相关配置，如：创建KEY加密文件，管理用户、可用组等。

步骤1：连接主库-sqlNode1
主库也就是节点1，端口是1501，连接方法如上图。

我们将证书和私钥提取到/tmp/dbm_certificate.cer和/tmp/dbm_certificate.pvk文件中。

我们将这些文件复制到其他节点，并根据以下文件创建主密钥和证书：执行以下脚本

USE master
GO
 
CREATE LOGIN dbm_login WITH PASSWORD = 'MyStr0ngPa$w0rd';
CREATE USER dbm_user FOR LOGIN dbm_login;
GO
 
CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'MyStr0ngPa$w0rd';
go
CREATE CERTIFICATE dbm_certificate WITH SUBJECT = 'dbm';
BACKUP CERTIFICATE dbm_certificate
TO FILE = '/tmp/dbm_certificate.cer'
WITH PRIVATE KEY (
        FILE = '/tmp/dbm_certificate.pvk',
        ENCRYPTION BY PASSWORD = 'MyStr0ngPa$w0rd'
    );
GO

将文件拷贝到其他两个节点：

$ docker cp sqlNode1:/tmp/dbm_certificate.cer .
$ docker cp sqlNode1:/tmp/dbm_certificate.pvk .
$ docker cp dbm_certificate.cer sqlNode2:/tmp/
$ docker cp dbm_certificate.pvk sqlNode2:/tmp/
$ docker cp dbm_certificate.cer sqlNode3:/tmp/
$ docker cp dbm_certificate.pvk sqlNode3:/tmp/

步骤2：连接从库-sqlNode2和sqlNode3
两个从库的端口分别是：1502和1503.然后重复主库执行的操作，如下：

CREATE LOGIN dbm_login WITH PASSWORD = 'MyStr0ngPa$w0rd';
CREATE USER dbm_user FOR LOGIN dbm_login;
GO
 
CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'MyStr0ngPa$w0rd';
GO
CREATE CERTIFICATE dbm_certificate   
    AUTHORIZATION dbm_user
    FROM FILE = '/tmp/dbm_certificate.cer'
    WITH PRIVATE KEY (
    FILE = '/tmp/dbm_certificate.pvk',
    DECRYPTION BY PASSWORD = 'MyStr0ngPa$w0rd'
);
GO

步骤3：所有节点
在所有节点上执行以下命令

CREATE ENDPOINT [Hadr_endpoint]
    AS TCP (LISTENER_IP = (0.0.0.0), LISTENER_PORT = 5022)
    FOR DATA_MIRRORING (
        ROLE = ALL,
        AUTHENTICATION = CERTIFICATE dbm_certificate,
        ENCRYPTION = REQUIRED ALGORITHM AES
        );
ALTER ENDPOINT [Hadr_endpoint] STATE = STARTED;
GRANT CONNECT ON ENDPOINT::[Hadr_endpoint] TO [dbm_login];

启用开机自启动ALWAYON，在所有节点执行以下命令

ALTER EVENT SESSION  AlwaysOn_health ON SERVER WITH (STARTUP_STATE=ON);
GO

步骤4：创建高可用组
可以用SSMS工具和T-SQL两种方式，下面以T-SQL为例：
运行以下脚本在主节点中创建一个可用性组。请注意，选择CLUSTER_TYPE = NONE选项是因为它是在没有诸如Pacemaker或Windows Server故障转移群集之类的群集管理平台的情况下安装的。
如果要在Linux上安装AlwaysOn AG，则应为Pacemaker选择CLUSTER_TYPE = EXTERNAL：

CREATE AVAILABILITY GROUP [AG1]
        WITH (CLUSTER_TYPE = NONE)
        FOR REPLICA ON
        N'sqlNode1'
            WITH (
            ENDPOINT_URL = N'tcp://sqlNode1:5022',
            AVAILABILITY_MODE = ASYNCHRONOUS_COMMIT,
                SEEDING_MODE = AUTOMATIC,
                FAILOVER_MODE = MANUAL,
            SECONDARY_ROLE (ALLOW_CONNECTIONS = ALL)
                ),
        N'sqlNode2'
            WITH (
            ENDPOINT_URL = N'tcp://sqlNode2:5022',
            AVAILABILITY_MODE = ASYNCHRONOUS_COMMIT,
                SEEDING_MODE = AUTOMATIC,
                FAILOVER_MODE = MANUAL,
            SECONDARY_ROLE (ALLOW_CONNECTIONS = ALL)
                ),
        N'sqlNode3'
            WITH (
            ENDPOINT_URL = N'tcp://sqlNode3:5022',
            AVAILABILITY_MODE = ASYNCHRONOUS_COMMIT,
                SEEDING_MODE = AUTOMATIC,
                FAILOVER_MODE = MANUAL,
            SECONDARY_ROLE (ALLOW_CONNECTIONS = ALL)
                );
GO

在从库中执行以下命令，将从库加入到AG组中

ALTER AVAILABILITY GROUP [ag1] JOIN WITH (CLUSTER_TYPE = NONE);
ALTER AVAILABILITY GROUP [ag1] GRANT CREATE ANY DATABASE;
GO

至此在Docker容器中安装SQL Server Alwayson集群已经完成了！

注意：当指定CLUSTER_TYPE = NONE创建可用组时，在执行故障转移时需执行以下命令

ALTER AVAILABILITY GROUP [ag1] FORCE_FAILOVER_ALLOW_DATA_LOSS

测试
在主库上创建一个数据库，并加入到可用组AG中。

CREATE DATABASE agtestdb;
GO
ALTER DATABASE agtestdb SET RECOVERY FULL;
GO
BACKUP DATABASE agtestdb TO DISK = '/var/opt/mssql/data/agtestdb.bak';
GO
ALTER AVAILABILITY GROUP [ag1] ADD DATABASE [agtestdb];
GO

然后连上数据库，看看效果。

最后附上用到的文件 https://files.cnblogs.com/files/wang2650/sqlserver.7z 主要是修改了dockerfile，加入了ubuntu的数据源，否则，执行系统更新的时候特别慢。

码农公寓

我是在windows2019上的docker上测试的。容器类型为linux。

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