![]() ParsedConnectionString. Let parsedConnectionString = new URL(JSON.parse(connectionString.stdout).standardSrv) Let createClusterResult = await $`atlas clusters create $ -output json` _COLLECTION = _COLLECTION || "people_" + runtimeTimestamp _DATABASE = _DATABASE || "business_" + runtimeTimestamp That’s it! Hopefully this simple set of steps is helpful for you to get up and running with MongoDB on your _CLUSTER_NAME = _CLUSTER_NAME || "examples" Docker Desktop (11 Part Series) 1 Installing Istio Mesh on Docker Desktop 2 Dockerizing a NodeJS, Express, Redis with Nginx Proxy using Docker Compose. ![]() Now you can authenticate with the connection string: Next, stop and remove the existing instance and launch a new one with authentication active:ĭocker run -name mongodb -v mongodata:/data/db -d -p 27017:27017 mongo -auth mongodb docker wsl-2 Share Improve this question Follow edited at 11:34 asked at 12:29 Axelly 539 3 7 26 I am usually unlucky trying to connect from windows to anything listening inside wls-2. These two steps will take care of it for you (the database does not have to exist yet):ĭb.createUser() Īfter that, you can exit out of the MongoDB terminal and the bash shell that’s running. Let’s assume your database is called “mydatabase” and you want to set up a user named “myuser” with password “secret”. (You should almost never need to set networkmode: host. There is nothing special about mongodb other than it’s the name I gave the container in the previous step). If disabling Dockers networking 'fixes' the problem then you likely have that incorrectly set to a localhost value, and the question Phil references is a reasonable starting point. You can omit it to run from other terminals. ![]() ( winpty is needed from a typical Windows command line. To set up authentication, you need to create a login and then restart the service with the “authentication” switch.įirst, log into the running (non-authenticated) version. ![]() By default, it’s running without authentication. Of course, you probably want to tweak it a bit. You have a fully functional version of MongoDB running on your machine! (Here’s mine running, mapped to a different port). With the link you specified in the docker-compose. The first time may feel like npm install as multiple layers are downloaded, but subsequent runs should go quite fast. You can give the running container any name you like. The next step will pull the database image if it doesn’t already exist, then launch a running instance using the mounted volume.ĭocker run -name mongodb -v mongodata:/data/db -d -p 27017:27017 mongo If you skip this step, any changes you make will disappear when the container stops running. First, create a volume to persist data between runs. Now that the prerequisites are out of the way, there are two steps to getting MongoDB up and running. I am running a Windows-specific version of desktop for community. I assume you have Docker installed and are using Linux (not Windows) containers. We can use Docker with a MongoDB container image to make the database deployment process more efficient and straightforward. Mongo maintains a set of official Docker images. Using MongoDB with Docker allows us to have a portable database that can be run on any server platform without having to worry about its configuration. Using containers, you can quickly get up and running with any number of predefined images and services. Note: although I’m focusing on Windows-based steps, the same steps should work fine on macOS and Linux.įortunately, this is precisely the type of scenario Docker was designed to address. There was just one catch: I had no desire to install MongoDB on my Windows 10 machine! The API for MongoDB is supported by Azure Cosmos DB and the demo illustrates how to migrate from a local instance of MongoDB for development purposes to a cloud-based production instance of Cosmos DB. If you aren’t familiar with MongoDB, it’s a very popular and mature document database. Recently, I was working on a demo for an upcoming series of talks that required a (preferably local) instance of MongoDB.
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