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Run microsoft container in mac os docker host
Run microsoft container in mac os docker host







run microsoft container in mac os docker host
  1. Run microsoft container in mac os docker host how to#
  2. Run microsoft container in mac os docker host windows 10#
  3. 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.

run microsoft container in mac os docker host

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

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.

  • When using Docker for Windows, the default resources allocated to the linux VM running docker are 2GB RAM and 2 CPU's.
  • A Supported Browser in Chrome or Firefox for OpsCenter and Studio use.
  • Run microsoft container in mac os docker host windows 10#

  • A machine running Windows 10 64-bit with Docker installed.
  • Basic understanding of Docker images and containers.
  • This article will show you how to easily work with DSE, our visual developer tool ( DataStax Studio), and our management console ( DataStax OpsCenter) on Windows. With Docker, you can have a DSE instance up and running on Windows in a matter of minutes. Years ago, we recommended running DSE in virtual machines for Windows, but developers found this would take hours of effort getting the OS and DSE setup inside the virtual machine. Many times these developers need a complete environment to do their work, and this translates into having a fully functioning copy of the database their application will target running on their Windows workstation or laptop. Developers like the fact that no modifications are required on their part if the application is initially written to just use one DSE node, but scales into hundreds in the future.Īccording to the 2018 Stack Overflow Developer Survey Microsoft Windows was the number one platform used by developers at 49.9%, followed by MacOS at 26.7%. Many architects and developers today are targeting Apache Cassandra™and DataStax Enterprise (DSE) as their database of choice because of its ability to easily scale and perform under extreme workloads.









    Run microsoft container in mac os docker host