Docker部署SQL Server 2019 Always On集群的实现(docker部署sqlserver)

admin 327 2022-07-15

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目录Docker部署Always on集群安装Docker架构准备相关容器镜像操作系统开始配置-容器步骤1:创建Dockerfile步骤2:编译镜像步骤3:创建容器步骤4:启动容器步骤5:SSMS连接MSSQL配置-数据库步骤1:连接主库-sqlNode1步骤2:连接从库-sqlNode2和sqlNode3步骤3:所有节点步骤4:创建高可用组测试参考连接

Docker部署Always on集群

Docker部署SQL Server 2019 Always On集群的实现(docker部署sqlserver)

SQL Server在2016年开始支持Linux。随着2017和2019版本的发布,它开始支持Linux和容器平台上的HA/DR、Kubernetes和大数据集群解决方案。

在本文中,我们将在3个节点的Docker容器上安装SQL Server 2019,并创建AlwaysOn可用性组。

我们的目标是使用单个配置文件快速准备好环境。因此,开发人员或测试团队可以快速执行诸如兼容性、连通性、代码功能等测试。

在本节中,我们将首先准备一个基于Ubuntu的映像,以便能够在容器上安装可用性组。然后我们将执行必要的安装。

重要提示:不建议在生产环境中执行操作。安装是在Ubuntu 18.04上执行的。

安装Docker

安装Docker就不介绍了,自行安装即可.

架构

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

端口表示:外网端口:内网端口

准备相关容器镜像

拉取操作系统和数据库的Docker镜像,如下

操作系统

docker pull ubuntu:18.04

SQL Server 2019

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

可通过docker images来查看已下载的镜像信息。

镜像地址:https://hub.docker.com/_/microsoft-mssql-server

开始配置-容器

环境准备完毕后,开始正式的配置安装。

步骤1:创建Dockerfile

创建目录用于存放dockerfile、docker-compose.yml等文件。

mkdir /sql2019ha cd /sql2019ha touch dockerfile vi dockerfile

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

说明:

FROM:表示基于什么镜像进行安装的 RUN:在镜像中进行的操作 EXPOSE:指定服务端口 ENTRYPOINT:运行命令

步骤2:编译镜像

通过dockerfile来编译镜像,用于后面的安装,命令:docker build -t sqlag2019:ha .

其中sqlag2019为镜像名称,ha是镜像标签,.表示在当前目录下编译,因为dockerfile就在当前目录下。

以下输出是精简的,实际上输出非常多…也需要一定时间(安装一些包、数据库等),由网速决定

$ docker build -t sqlag2019:ha . Sending build context to Docker daemon 2.56kB Step 1/12 : FROM ubuntu:18.04 ---> c3c304cb4f22 Step 2/12 : RUN apt-get update ---> Running in 950e50f80f00 Get:1 http://archive.ubuntu.com/ubuntu bionic InRelease [242 kB] Get:2 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB] Get:3 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [932 kB] Get:4 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]... Step 3/12 : RUN apt install sudo wget curl gnupg gnupg1 gnupg2 -y ---> Running in edc9d15b2383 .. .. Step 8/12 : RUN sudo apt-get install -y mssql-server ---> Running in 43d82a503f8a Reading package lists... Building dependency tree... Reading state information... The following additional packages will be installed: Step 9/12 : RUN sudo /opt/mssql/bin/mssql-conf set hadr.hadrenabled 1 ---> Running in 166c6596d2dd SQL Server needs to be restarted in order to apply this setting. Please run 'systemctl restart mssql-server.service'. Removing intermediate container 166c6596d2dd ---> bcdb057fed43 Step 10/12 : RUN sudo /opt/mssql/bin/mssql-conf set sqlagent.enabled true ---> Running in 22dd6a93d1ef SQL Server needs to be restarted in order to apply this setting. Please run 'systemctl restart mssql-server.service'. Removing intermediate container 22dd6a93d1ef ---> 6b90afbaf94e Step 11/12 : EXPOSE 1433 ---> Running in bcc14f3b0bad Removing intermediate container bcc14f3b0bad ---> 4aae1563aa74 Step 12/12 : ENTRYPOINT /opt/mssql/bin/sqlservr ---> Running in 68b6ed45ff6a Removing intermediate container 68b6ed45ff6a ---> b7467618c371 Successfully built b7467618c371 Successfully tagged sqlag2019:ha

最后出现Successfully表示编译成功,否则根据错误信息进行解决。

步骤3:创建容器

现在镜像编译好了,下面再通过docker-compose文件来创建、配置3个容器,具体内容如下:

$ touch docker-compose.yml $ vi docker-compose.yml

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

步骤4:启动容器

然后通过docker-compose up -d命令启动三个容器,其中-d表示在后台运行。

$ docker-compose up -d Creating network "sql2019hademo_internal" with the default driver Creating sqlNode2 ... Creating sqlNode1 ... Creating sqlNode2 Creating sqlNode3 ... Creating sqlNode1 Creating sqlNode2 ... done

注意:docker-compose是需要单独安装的,就是一个可执行文件。可通过apt、yum来安装。

查看容器状态

$ docker-compose ps Name Command State Ports -------------------------------------------------------------------------- sqlNode1 /bin/sh -c /opt/mssql/bin/ ... Up 0.0.0.0:1501->1433/tcp sqlNode2 /bin/sh -c /opt/mssql/bin/ ... Up 0.0.0.0:1502->1433/tcp sqlNode3 /bin/sh -c /opt/mssql/bin/ ... Up 0.0.0.0:1503->1433/tcp

至此容器已经启动完成,下面通过SSMS连接数据库进行相关检查和配置ALWAYSON。

步骤5: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:

注意:IP和端口之间是逗号

可以看到数据库的图标也是Linux的图标。

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

通过SSMS查看同步状态是否正常.

参考连接

https://docs.microsoft.com/en-us/sql/linux/quickstart-install-connect-docker?view=sql-server-ver15 https://docs.microsoft.com/en-us/sql/linux/quickstart-install-connect-ubuntu?view=sql-server-ver15 https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-create-availability-group?view=sql-server-ver15 https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-configure-mssql-conf?view=sql-server-ver15 https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-configure-environment-variables?view=sql-server-ver15 https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-availability-group-cluster-ubuntu?view=sql-server-linux-ver15 https://docs.docker.com/engine/install/ubuntu/ https://docs.docker.com/compose/

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