This signal causes the immediate termination of a program. This is a generic signal to terminate a program, it is the traditional way to ask a program to terminate its process. Docker containers uses the SIGTERM and SIGKILL termination signals, but what they are? SIGTERM There are multiple termination signals in Linux, used for slightly different purposes. This is very similar to the previous example however, there is something else that you need to understand, especially when stopping a SQL Server container. The docker stop command is what you want to use to stop one or more containers you just need to specify the container name. Importantly, it lists all containers with the word “master” in the name, regardless of its status. The output looks good now, clean and easy to read.
This command simply lists all existing images including the repository where it came from, the tag, image ID and its size.ĭocker ps -a - format "table " The best way to understand what images are available in the local repository, is using the docker image ls command. SQL Server is not an exception to this problem you can have multiple images of SQL Server 2017 from the RTM version to the latest CU. Probably, these images are from previous test efforts performed using different versions of the same application. When working with containers, it is pretty common to end up with multiple local copies of Docker images laying around in the local image repository. Docker Container ManagementĪt this point you should understand that a Docker image is required to create a container. Take a look at how Docker client can help perform all of these container life cycle actions. In summary, the container life cycle is basically performing some or all of the following actions:
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You need to learn how to stop it, modify it or even delete it. The problem comes when you don’t want to keep this container up and running all the time. Then, the next step is to create the container using the docker run command ( see part 1). This is the first thing you want to look for when choosing the image from Microsoft Container Registry repository. In the previous article, I explained the meaning of the SQL Server image tag ( SQL Server Version – build number – operating system). The life cycle of a container starts by identifying the base image version you want to use for the containerized application. In this specific case, we are looking forward to becoming proficient managing SQL Server containers. The better you learn and understand all the command line client instructions to interact with the Docker daemon, the faster you will start developing, shipping and running containerized applications. Containers are created one day for a specific task and the next day stopped or even deleted to be rebuilt from a recent version of the image that includes minimal changes in the configuration or functionality of the containerized application. That is why you want to become very familiar with the Docker command line client. Let me tell you, that phrase is absolutely true. You may have heard these words before: Containers are ephemeral.
My goal is to help you understand how all these commands can help you to manage your SQL Server container through its life cycle. In this second part, you will learn in detail about the Docker command line client. Finally, I gave you a quick example on how to pull a Docker image from Microsoft Container registry to create a SQL Server container using the Docker command line client.
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In the first part of this article series, you learned the basics of SQL Server containers for macOS, starting with a brief definition of what Docker is, how it works (architecture) and how to install it on macOS. Connecting to a SQL Server Docker Container Running in macOS.Managing SQL Server Docker containers in macOS.Creating Your First SQL Server Docker Container in macOS.Managing SQL Server Docker containers in macOS - Simple Talk Skip to content
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