Why? The answer is "replica set monitor".In the example above, mongo shell would connect to the specified node, start a new replica set monitor for the replica set and will use the specified node just to seed it. From there, the monitor will figure out all nodes in the replica set and will switch the connection to the PRIMARY node.

However, once connected to any node in the RS, you can discover the RS topology via rs.config() or db.isMaster(). You could then use this information to reconnect to the primary node. Depending on your shell, you might be able to use mongo --eval "db.isMaster()['primary']" to automatically connect to the master.

Download Mongodb Shell

I am using v3.4. Also new to mongodb stuff...Although the help info from "man mongo" suggests to use "--host replicaSet/host:port,host:port" url, it does not work for me. However, I can connect to my replicaSet according to official document, as below:

The official MongoDB packages are updated with each minor release and you should ideally install a shell version matching your MongoDB server's major version (3.6, 4.0). Significant mismatches in shell versus server versions can result in some subtle errors as well as missing or outdated helpers. For example, the MongoDB 3.6.x shell doesn't have helpers for transactions (which were added in 4.0).

The MongoDB documentation includes information on Installing the official packages on Ubuntu. There is a mongodb-org-shell package which only includes the MongoDB shell, and you may also want to install mongodb-org-tools for other command-line tools (mongodump, mongorestore, ...).

To maintain backwards compatibility, the methods that mongosh supportsuse the same syntax as the corresponding methods in the mongo shell.To see the complete list of methods supported by mongosh, see MongoDBShell Methods.

This will provide you with the native Mongo shell capabilities for database management and CRUD operations. This is available in your Data Explorer either in the Azure Portal or in its stand-alone version. Check the highlighted note in this article to know which Azure Regions are supported today.

After that, the Mongo shell button will open a tab with an instance that is already connected to the database. And Voilá! You can now execute some Mongo scripts directly on your databases and collections.

There are many ways to connect and get started with Amazon DocumentDB. We created this guide because we found this way to be the quickest, simplest and easiest way for users to get started using our powerful document database. This guide utilizes AWS Cloud9, a web-based terminal to connect and query your Amazon DocumentDB cluster using the mongo shell directly from the AWS Management Console. New customers who are eligible for the AWS Free Tier can use Amazon DocumentDB and AWS Cloud9 for free. If your AWS Cloud9 environment or Amazon DocumentDB cluster makes use of resources beyond the free tier, you are charged the normal AWS rates for those resources. This guide will get you started with Amazon DocumentDB in less than 15 minutes.

You will now install the mongo shell in your AWS Cloud9 environment that you created in Step 1. The mongo shell is a command-line utility that you use to connect and query your Amazon DocumentDB cluster.

Return to your cluster in the Amazon DocumentDB console, unde Connectivity & security tab, in the Connect section, under Connect to this cluster with the mongo shell, copy the connection string provided. Omit copying so that you are prompted for the password by the mongo shell when you connect.

As with other command line interfaces, the MongoDB shell accepts commands and returns the desired results to standard output. As mentioned previously, in MongoDB shell, all commands are typed into the command prompt denoted with the greater-than sign (>). Pressing ENTER after the command immediately executes it and returns the command output to the screen.

Most commands in MongoDB database are executed on a database or on a collection in a selected database. The currently-selected database is represented by the db object accessible through the shell. You can check which database is currently selected by typing db into the shell:

You can safely use this database to experiment with MongoDB and the MongoDB shell. To switch to another database, you can run the use command followed by the new database name. Try switching to a database called fruits:

Press TAB once more. This time, there are no other possibilities starting with ap and the MongoDB shell will automatically complete the entry and type db.apples for you. Follow the same principle and complete the find() command using TAB completion. Type fi but do not press ENTER:

Pressing TAB will automatically complete the command name to db.apples.find. At this point, pressing TAB again would cause the shell to list further possibilities, but you can manually add a closing parenthesis to execute the find command:

This example used the object creation and retrieval commands to illustrate how to use the interactive shell. You can learn more about working with database objects in the next tutorial in this series, How To Perform CRUD operations.

By reading this article, you will have familiarized yourself with the MongoDB shell. The shell makes it possible to insert new objects into the database, query the existing collections, and perform administrative tasks for managing the database, its data, and its users.

You can execute commands from other articles in this series in the MongoDB shell following the principles described in this tutorial. We encourage you to learn more about MongoDB Shell in the official MongoDB documentation.

With the old mongo shell, you could set up a shell file (called something like mongo_cmd.sh)containing the path to the executable and all the command line switches you wanted like this:

 /path/to/mongo --norc --quiet --port 26011

But if you replace mongo with the new shell mongosh in the above, the output becomes garbles with the mongosh shell prompt appearing both before and after each command output:

db.stats().ok output: Enterprise s1 [direct: primary] test> 1 Enterprise s1 [direct: primary] test>

db.version() output: Enterprise s1 [direct: primary] test> 6.0.5 Enterprise s1 [direct: primary] test>

The new mongosh shell should either be fixed to replicate the old shell behaviour, or it should be enhanced with a new command line switch --legacy that can be used to revert the behaviour for that session.

This post showed you how to get started with Amazon DocumentDB by creating an AWS Cloud9 environment, installing the mongo shell, creating an Amazon DocumentDB cluster, connecting to your cluster, and performing a few queries to see how easy it is to insert and query JSON documents within Amazon DocumentDB. For more information, see Ramping up on Amazon DocumentDB (with MongoDB compatibility). For more information about recent launches and blog posts, see Amazon DocumentDB (with MongoDB compatibility) resources.

MongoDB is a non-relational, document-oriented database that can operate over many hosts, database shards, and collections. A key feature of MongoDB is its ability to associate disparate data types and sources into quickly returned results that link data together. The MongoDB shell can be used to perform queries, update records, and find useful correlations among collections. The MongoDB Shell provides a command-line interface to your database and can run all MongoDB queries. It prints error messages, modifies data, and provide access to JavaScript using JSON queries. This tutorial explains how to install the MongoDB Community Shell on macOS, Windows 10, and Debian. It also shows you how to connect to a MongoDB deployment and provides tips on using the MongoDB Shell with examples.

Once MongoDB Shell is successfully installed, it can connect to one or more MongoDB instances, shards, replicas, or clusters. The MongoDB shell is used for a wide number of tasks. This section describes the most common tasks like connecting and authenticating, changing and configuring, querying, and ending a session.

IntelliShell is a command-line tool built into Studio 3T that allows writing commands directly against a MongoDB database. It offers the simplicity of the mongo shell, which is what the tool is based on, while adding a number of important features that make it easier to query a database. For example, you can run commands individually, run multiple commands together, or run all commands at once.

If the statement is not completed, the shell allows you to continue writing it on the next line. If you press "Enter" three times in a row, it will cancel the half-formed command and get you back to the > - prompt.

find() is a mongo shell method, which can be used in the multi-document transactions. The documents displayed by this method are in non-structured form. If you want to get data in a structured form, then use pretty() method with find() method. 

Notice that in the previous step when you typed juju run-action data-integrator/leader get-credentials --wait the command not only outputted the username, password, and database, but also outputted the URI. This means you do not have to generate the URI yourself. To connect to this URI first ssh into mongodb-k8s/0:

You will now be in the mongo shell as the user created for this relation. When you relate two applications Charmed MongoDB K8s automatically sets up a user and database for you.

Enter db.getName() into the MongoDB shell, this will output:

Here, we can see the mongosh.exe application in our system. In my system, I have placed it on the path mongosh-1.6.1-win32-x64.zip\mongosh-1.6.1-win32-x64\bin.(vitag.Init=window.vitag.Init[]).push(function()viAPItag.display("vi_25930111794"))When we click the mongosh.exe application to open, it will launch the mongosh shell as in the following screen. All we need to press enter to establish the connection with MongoDB.

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