This content originally appeared on DEV Community and was authored by Ben Selby
I recently started a new job. The data store is MongoDB, which I have barely used before. This post aims to document what I've learnt to get me through the day. Please feel free to tweet me if there are discrepancies.
The first thing that I became aware of, is that there are/were two cli tools:
- The legacy
mongo
shell, which was deprecated in MongoDB v5.0. - The new, and active,
mongosh
shell, which replacedmongo
. The documentation for this shell is here.
This post will discuss mongosh
and assume you have MongoDB running on your machine (or access to an instance).
Connecting
If you're wanting to connect to a local database instance, then by running mongosh
it will connect to localhost
as default.
A more complete connection string would be:
mongosh "mongodb://localhost:27017" -u [user]
This will prompt for the password, so it's not stored in your ~/.[zsh|bash]_history
file.
Once you have connected, you can run help
to get some basic commands:
> help
Shell Help:
use Set current database
show 'show databases'/'show dbs': Print a list of all available databases.
'show collections'/'show tables': Print a list of all collections for current database.
'show profile': Prints system.profile information.
'show users': Print a list of all users for current database.
'show roles': Print a list of all roles for current database.
'show log <type>': log for current connection, if type is not set uses 'global'
'show logs': Print all logs.
exit Quit the MongoDB shell with exit/exit()/.exit
quit Quit the MongoDB shell with quit/quit()
Mongo Create a new connection and return the Mongo object. Usage: new Mongo(URI, options [optional])
connect Create a new connection and return the Database object. Usage: connect(URI, username [optional], password [optional])
it result of the last line evaluated; use to further iterate
version Shell version
load Loads and runs a JavaScript file into the current shell environment
enableTelemetry Enables collection of anonymous usage data to improve the mongosh CLI
disableTelemetry Disables collection of anonymous usage data to improve the mongosh CLI
passwordPrompt Prompts the user for a password
sleep Sleep for the specified number of milliseconds
print Prints the contents of an object to the output
printjson Alias for print()
cls Clears the screen like console.clear()
isInteractive Returns whether the shell will enter or has entered interactive mode
For more information on usage: https://docs.mongodb.com/manual/reference/method
Listing the databases
Using the output from help
, let's list all the databases stored in the instance we are running on.
> show dbs
We want to be able to switch between the databases, so lets switch to the admin
database.
> use admin
Creating a database
So we have seen how to list databases, but we want to create a new one to store our data. To do this, we can run:
> use entertainment
You may notice that we are using the same use
command. By switching to a non-existent database, the database will be created, when we create a collection.
Deleting a database
Note: I do not recommend testing this on production!
Make sure you are on the database you want to drop:
> use entertainment
switched to db entertainment
And then let's drop the database.
> db.dropDatabase()
{ ok: 1, dropped: 'entertainment' }
Creating a collection
Using the commands from above, create a database called entertainment
again. Then switch to that database. We now want to create a collection. Let's just make sure we are on the same page again. Let's check the name of the database we are both on.
> db.getName()
entertainment
Your output should match mine, entertainment
. Now, let's create a collection called films
.
> db.createCollection("films")
For further options/configuration on creating collections, please review the docs.
Showing collections
Let's see what collections we have in the entertainment
database.
Note: If you're coming from a SQL based background, collections
are the MongoDB equivalent of tables
.
> show collections
films
Inserting documents
Now we have a database (entertainment
), and a collection (films
), let's create some documents.
> db.films.insertOne({ title: "The Big Lebowski", url: "https://en.wikipedia.org/wiki/The_Big_Lebowski" })
{
acknowledged: true,
insertedId: ObjectId("626eaad80dd6e8884b86fda3")
}
This has created a document in the films
collection with two attributes: title
, and url
. Behind the scenes, MongoDB will add an additional attribute: _id
which cannot be changed.
You can also create many documents at the same time.
> db.films.insertMany([{ title: "How to loose a guy in 10 days", url: "https://en.wikipedia.org/wiki/How_to_Lose_a_Guy_in_10_Days" },
{ title: "Father of the Bride", url: "https://www.imdb.com/title/tt0101862/" }])
{
acknowledged: true,
insertedIds: {
'0': ObjectId("626eaae00dd6e8884b86fda4"),
'1': ObjectId("626eaae00dd6e8884b86fda5")
}
}
For further options/configuration on inserting documents, please review the docs.
Getting documents
We should now have three documents in our films
collection, within the entertainment
database. Let's check:
> db.films.find({})
[
{
_id: ObjectId("626eaad80dd6e8884b86fda3"),
title: 'The Big Lebowski',
url: 'https://en.wikipedia.org/wiki/The_Big_Lebowski'
},
{
_id: ObjectId("626eaae00dd6e8884b86fda4"),
title: 'How to loose a guy in 10 days',
url: 'https://en.wikipedia.org/wiki/How_to_Lose_a_Guy_in_10_Days'
},
{
_id: ObjectId("626eaae00dd6e8884b86fda5"),
title: 'Father of the Bride',
url: 'https://www.imdb.com/title/tt0101862/'
}
]
Filtering documents
It's unlikely that we always want to get all of the documents, so let's filter films with the word the
in them:
> db.films.find({ title: { $regex: /the/i }})
You can see we have introduced a $regex
keyword to provide a SQL LIKE
command, if you're use to SQL.
If you know the id of the document:
> db.films.find({ _id: ObjectId("626eaae00dd6e8884b86fda5") })
[
{
_id: ObjectId("626eaae00dd6e8884b86fda5"),
title: 'Father of the Bride',
url: 'https://www.imdb.com/title/tt0101862/'
}
]
You can see that we are returning an array of documents. But what if we just want the one document?
> db.films.findOne({ _id: ObjectId("626eaae00dd6e8884b86fda5") })
{
_id: ObjectId("626eaae00dd6e8884b86fda5"),
title: 'Father of the Bride',
url: 'https://www.imdb.com/title/tt0101862/'
}
For further options/configuration on finding documents, please review the docs.
Updating documents
Let's say we want to give a film a rating. We can do this via an update.
db.films.updateOne({ title: "The Big Lebowski" }, { $set: { rating: 5 }})
{
acknowledged: true,
insertedId: null,
matchedCount: 1,
modifiedCount: 1,
upsertedCount: 0
}
The benefit of a NoSQL data store is the fact that documents can have varying fields. Let's checkout what the documents look like now:
> db.films.find({})
[
{
_id: ObjectId("626eaad80dd6e8884b86fda3"),
title: 'The Big Lebowski',
url: 'https://en.wikipedia.org/wiki/The_Big_Lebowski',
rating: 5
},
{
_id: ObjectId("626eaae00dd6e8884b86fda4"),
title: 'How to loose a guy in 10 days',
url: 'https://en.wikipedia.org/wiki/How_to_Lose_a_Guy_in_10_Days'
},
{
_id: ObjectId("626eaae00dd6e8884b86fda5"),
title: 'Father of the Bride',
url: 'https://www.imdb.com/title/tt0101862/'
}
]
You can see that only one film document has a rating
field.
For further options/configuration on updating documents, please review the docs.
Deleting documents
Deleting documents is very much akin to finding documents. So let's say we want to delete one document:
> db.films.deleteOne({_id: ObjectId("626eaae00dd6e8884b86fda5")})
{ acknowledged: true, deletedCount: 1 }
For further options/configuration on deleting documents, please review the docs.
Configuration file
We can create a configuration file called ~/.mongoshrc.js
to customise the prompt. An example could be:
{
prompt = () => {
return `${db.getName()} with ${db.stats().objects} documents> `
}
}
If you save this file, and then reconnect you should see your prompt as:
entertainment with 2 documents>
For further information on the configuration file, please review the docs.
Tidbits
-
mongosh
has tab completion, which really helps discoverability of commands. If you rundb.[tab][tab]
you will see a list of commands on thedb
object. Likewise, if you dodb.films.[tab][tab]
you will see a list of commands on thecollections
object.
I hope this provides some useful knowledge to get you through your day using MongoDB. It should provide a grounding of basic commands, and provide links to give you further reading for more advanced commands/options.
Photo by Alfons Morales on Unsplash
See also
- Git commands to get you through the day
- Docker knowledge to get you through the day
- Shell commands to get you through the day
- Terraform knowledge to get you through the day
This content originally appeared on DEV Community and was authored by Ben Selby
Ben Selby | Sciencx (2022-05-01T16:39:12+00:00) Mongo shell commands to get you through the day. Retrieved from https://www.scien.cx/2022/05/01/mongo-shell-commands-to-get-you-through-the-day/
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