

- Run microsoft container in mac os docker host how to#
- Run microsoft container in mac os docker host windows 10#
- Run microsoft container in mac os docker host windows#
To exit the shell, type ‘exit’ and press enter or CTRL D. The general syntax for commands against your dse container will be:įor example, to get a cqlsh prompt that allows you to enter Cassandra Query Language (CQL an SQL-like language) against the DSE Server, type:
Run microsoft container in mac os docker host how to#
Now that you have a running DSE container, let’s get familiar with how to run some of the commands you will use on a regular basis. Once started, we can take a quick look at the DSE logs to ensure all is well: To start the DSE container, we are using the docker run command with the environment variable (-e DS_LICENSE=accept) to accept the DataStax License, -name my-dse (names our container) -d detaches from the terminal (runs in the background), and we are using the latest DSE image datastax/dse-server (we can add a specific version of dse by adding a tag to the end for the version we want to use, for example, to use run DSE 6.7.1 we would use datastax/dse-server:6.7.1).ĭocker run -e DS_LICENSE=accept -name my-dse -d datastax/dse-server Note that when the container starts for the first time, it will take a minute to bootstrap.

For more examples, see the getting started DSE documentation. You can combine the options to run more than one feature. To set up the node with DSE advanced functionality, add the option that enables that feature to the end of the docker run command.

Run microsoft container in mac os docker host windows#
Once you have your Windows environment setup with Docker running, you can jump right in, opening a PowerShell by pressing the windows key + R, typing PowerShell and pressing enter.īy default, the DSE server image is set up as a general purpose operational/transactional database node. In this article we will be running three DataStax Containers: More information can be found here on adjusting the resources allocated to docker. For this article, I suggest 6GB of Ram and 2 CPUs. Make sure to adjust these resources to meet the resource requirements for the containers you will be running.
Run microsoft container in mac os docker host windows 10#
