![]() ![]() You can now connect to the SQL Servers, add linked servers, and run the distributed transactions shown below. Service/kubernetes ClusterIP 10.0.0.1 443/TCP 7d1h NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE When you use the command kubectl get all to list all the objects, you should see something like this. To know more and to create static IPs in AKS please refer: Use static IP with load balancer - Azure Kubernetes Service | Microsoft Docs.Īfter you've used yaml to create the necessary objects. I also am configuring the load balancers to use static IPs, which ensures that the external IP address for the service does not change when the service is deleted and recreated. We also configure port routing to occur between port 135 (MSDTC RPC port) and port 13500 using the 'port' and 'targetPort' options in the script. You'll notice in the script that we expose three ports: 1433 for connecting to SQL Server, and 1350 for DTC communication. The script concludes with the creation of the load balancer service, which allows us to connect to the SQL Server instances externally. We are also exposing these ports 1433, 13500, and 51000 at the container level.įor the above two environment variables, you can use any port of your choice. If this option is not set, the MSDTC service will use a random ephemeral port on service restarts, and firewall exceptions will need to be reconfigured to ensure that the MSDTC service can communicate. MSSQL DTC TCP PORT -> 51000: This is the port on which the MSDTC server listens.MSSQL RPC PORT-> 13500: This is the TCP port to which the 'RPC endpoint mapper' process is bound.We are also configuring two environment variables that are required for MSDTC configuration. In this case, we're only deploying two SQL Server containers. The number of SQL Server containers deployed is determined by the value you enter in the replicas field. The script's second section deploys multiple SQL Server instances as part of a single deployment. The first section of the script below creates the Azure disk-based storageClass, which is used as persistent storage for SQL Server containers. Let me explain each section of the script above. The following yaml script is used to deploy the following objects: one storage class, two SQL Server containers, and two load balancer services to connect to the respective SQL Servers. For more information on statefulset deployments, see StatefulSets | Kubernetes. I prefer and recommend deploying SQL Server containers as'statefulset' deployments, which ensure that the container name and hostname remain unchanged even after the pods are deleted and recreated. Now that we've created the secret, we're ready to deploy SQL Server containers. Kubectl create secret generic mssql note, I will use the same ‘sa’ password to connect to both the SQL Server instances that I deploy. ![]() ![]() Before I deploy my SQL Server containers, I need to save the 'sa' password as a secret in Kubernetes, so I'd use the command: I'm going to use the cluster's default namespace to deploy my SQL Server containers and other supporting objects. After the cluster has been deployed, we will proceed to connect to the Azure Kubernetes Cluster using the steps outlined here. Please see Quickstart: Deploy an AKS cluster by using Azure CLI - Azure Kubernetes Service | Microsoft Docs This documentation describes how to deploy an Azure Kubernetes Service cluster with Azure CLI. As usual, I'll be using Azure Kubernetes Service (AKS) as my Kubernetes Platform. The first step is to set up a Kubernetes cluster and connect to it. How to configure MSDTC on Linux - SQL Server | Microsoft Docs. Please see the following documentation for more information on DTC and SQL Server on Linux. Today, I'd like to show you how to set up and use MSDTC (Microsoft Distributed Transaction Coordinator) to execute distributed transactions for SQL Server containers running on a Kubernetes platform. It's been a while since I've had the opportunity to write and share a blog post about SQL Server containers and Linux. ![]()
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