MongoDB Commands and Functions
Welcome! This is the MongoDB Page of the Carbon Free Footprint project.
The code snippets for this article have been extracted ( and, spruced up a little bit ) from the Little MongoDB eBook by Karl Seguin
Getting Started
To install the Mongo DB database software in Mac OSX using MacPorts visit this repo on GitHub ...
How To Install Mongo DB On Mac OSX With MacPorts via GitHub
Because the Mongo Server (MS) shell is written in Javascript ... ( the parenthesis ) are very important!
Semi-colons are shown here and there throughout the code samples to illustrate a line ending. But, are not needed in the Javascript shell of MongoDB to execute a command line.
Further, the lines of code shown within the code blocks are encased within a Liquid wrapper.
To further faciliate reading the text of the code on a MacBook Pro ... breaks in the code have been set based on a laptop screen.What follows, are some important MongoDB Shell commands and functions for the fledgling reader to master.
It is debatable whether or not we should render this repo for smaller screens ( or, conversely larger screens ) separately.
When viewing this repo on a smart phone, for example, the responsiveness of the slide to lower dimensions begs reconfiguration.This repo 'works' well when viewing from a MacBook Pro laptop screen ... But, the author is open to tweaking the html and css to render effectively for other screens.
You know the drill ... Fork it, and send me a pull request!
As you can see when digging into this repo, the GitHub pages engine will accept Bootstrap 3.0 ( and, Angular 2 ) enhancements.
But, connecting a MongoDB document database and then constructing forms to fill it ...?
No, there is no 'server-side' coding allowed via the GitHub pages engine ... at this time.
More to come ... All client based.
The Fun Begins Here
Here, a block of code for the MongoDB Javascript shell may be displayed and wordwrapped in real time via GitHub Pages
when enclosed in a proper Liquid wrapper.Each subheading that follows represents a MongoDB command or an important function with a little bit of explanation tossed in as a Javascript comment to whet the whistle of the database specialist.
Mongo Chevron
Intro to the Chevron ...
Once you have successfully installed MongoDB on your machine you may open up a terminal window and type 'mongo'. The command 'mongo' will connect a shell to your running server and the 'chevron' will appear.
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// where the Mongo Server (MS) accepts commands
// a.k.a the 'chevron'
>;
For Example ( Por Ejemplo ) ...
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// Enter your command here at the 'chevron' prompt
>;
Mongo Version
Intro to the 'version()' function ...
Where 'db' is the wake-up command to the (MS) to provide the current 'version' of the Mongo Server (MS).
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//Type the following function
db.version();
//The (MS) returns the version number
//of your MongoDB install
3.2.11
//The 'chevron' promptly returns ready
//for your next command ( or, function )
>;
Mongo Help
Intro to the 'help()' function ...
Where 'db' is the wake-up command to the Mongo Server (MS) to provide general 'help'.
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//Type the following function
db.help();
//The (MS) returns a list of general help items
For Example ( Por Ejemplo ) ...
(MS) will also provide detailed 'specific' help, too ... Whenever a collection is specified within the 'help' function.
Where 'frame' is the name of a collection of documents within the current working database.
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//Type the following function
db.frame.help();
//The (MS) returns a list of specific help items
Mongo Use
Intro to the MongoDB 'use' command ...
How To Declare and Change the Working Database ...
Where the command 'use' asks the (MS) to switch to the database named 'cls'... Even if the database has not yet been created!
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//Type the following function
use cls;
//The (MS) responds
>switched to db cls
// then the 'chevron' prompt returns
>;
The response from the (MS) whereby the Mongo Server (MS) basically says 'the switch is in effect' to the database 'cls' ... Stays in effect until changed once again by the 'use' command.
The opening default of the (MS) is towards the built-in 'test' database.
So, the first thing a user performs after typing the command to start the mongo shell ( 'mongo') is to type the command 'use' in order to orient the (MS) towards the correct base of data.
For Example ( Por Ejemplo ) ...
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//Start the shell
mongo;
//Switch to the working database
use learn;
>switched to db learn
// then the 'chevron' prompt returns
>;
Mongo getCollectionNames() function
Intro to the MongoDB 'getCollectionNames()' function ...
Initially, when performing this 'getCollectionNames()' function on a database void of any 'collection', the prompt returns an empty array '[ ]', as follows:
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//where the result is an empty array of collections
//the function returns the symbol '[ ]'
//Type the following function
db.getCollectionNames();
//The (MS) responds
>[ ];
//Then the 'chevron' prompt returns
//for the entering of the next command
>;
For Example ( Por Ejemplo ) ...
Where a database named 'learn' holds a single collection named 'unicorns'.
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//Type the following function
db.getCollectionNames();
//the function returns an array of one
[ "unicorns" ]
//Then the 'chevron' prompt revisits the terminal
>;
Mongo Insert
Intro to the MongoDB 'insert()' function ...
How To Insert a Single Document Into the 'frame' Collection of the Working Database?
For Example ( Por Ejemplo ) ...
Where the result is a single inserted document into the 'frame' collection ...
Where one or more 'key: value' sets of 'fields' within a single document are to be declared with the insert function.
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// When hitting the carriage return after typing ...
db.frame.insert({
name: 'Aurora',
gender: 'f',
weight: 450
});
// the (MS) returns the following result
WriteResult({ "nInserted" : 1 })
//The result is a single document
//has been added to the collection 'frame'
>;
//After the (MS) acknowledges the insert ...
//the 'chevron' prompt returns
Mongo getCollectionNames() revisited
Revisiting the MongoDB 'getCollectionNames()' function ...
After inserting the single document into the 'frame' collection ...
When we pull the function 'getCollectionNames()' again from the arsenal of functions available in MongoDB we get an acknowledgement from the (MS) that a collection named 'frame' has also been created where previously there was an 'empty array' returned, as follows:
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//Type the following function
db.getCollectionNames()
>[ "frame" ]
//where a collection named 'frame'
//is now resident in the working database
//Then the 'chevron' prompt returns
>;
In effect, the collection was declared first, and then a document was inserted secondly into the working database. Consequently, all of the fields ( key - value pairs ) of the now inserted document are house'd within the collection 'frame' of the working database.
Simple Array
How To Insert a Simple Array Into the 'frame' Collection ...
A simple array is considered to be its own document, as well.
Remember, Simple Arrays appear within a [ set of brackets ] in Mongo.
For Example ( Por Ejemplo ) ...
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// If successful upon tapping the 'enter' key ...
db.frame.insert({"fruits" : [
"apple",
"pear",
"orange",
"banana"]
});
// the (MS) returns the following result
WriteResult({ "nInserted" : 1 })
// And, the 'chevron' prompt revisits the terminal
>;
Here, try another array ...
For Example ( Por Ejemplo ) ...
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// If successful upon tapping the 'enter' key ...
db.frame.insert({"autos" : [
"chrysler",
"bmw",
"ford",
"general motors",
"volkswagen"]
});
// the (MS) returns the following result
WriteResult({ "nInserted" : 1 })
// And, the 'chevron' prompt revisits the terminal
>;
Embedded Document
How To Insert an Embedded Document Into the 'frame' Collection ...
An Embedded Document holds the key - value pairs of another document.
For Example ( Por Ejemplo ) ...
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// If, however, the insert is not successful ...
db.frame.insert({"home" : "ejs26aa01a",
"address" : {
"owner : "Edward John Smith",
"phone" : "206-000-0000",
"correo" : "1423",
"street" : "Jerry",
"type" : "Rd",
"compass" : null,
"city" : "Seattle",
"state" : "WA",
"zip" : "98109-5210"}
});
//the (MS) will return an error message
//similar to the following ...
SyntaxError: missing :
after property id @(shell):3:9
Here, the operator failed to close "quotes" in line 3, at character 9
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// Should be "owner" ... now, you're cook'n!
WriteResult({ "nInserted" : 1 })
// And, the 'chevron' prompt revisits the terminal
>;
Try another Embedded Document ...
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// This one looks accurate ...
db.frame.insert({"person" : "20nov16ejs26aa01a",
"name" : {
"last" : "Smith",
"first" : "Edward",
"mid" : "John",
"suffix" : null,
"dob" : "010177",
"bmi" : 30.05,
"email" : "jsmiwa@me.com",
"entity" : "206WA98109a1a001",
"home" : "ejs26aa01a"}
});
// And it is!
WriteResult({ "nInserted" : 1 })
// the 'chevron' prompt revisits the terminal
>;
Notice how the accurate 'person' document holds a 'key - value' pair that corresponds to the 'entity' document below as well as the 'home' document above.
A Dun and Bradstreet assigned business number can substitute for the 'entity' value, and a county parcel number can substitute for the value of the 'home' key.
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// This one looks accurate, too ...
db.frame.insert({"entity" : "206WA98109a1a001",
"address" : {
“name” : “Amazon Legal Dept”,
"phone" : "206-266-4064",
"correo" : "410",
"street" : "Terry",
"type" : "Avenue",
"compass" : "North",
"city" : "Seattle",
"state" : "WA",
"zip" : "98109-5210"
“credit” : “a1a”}
});
// And it is!
WriteResult({ "nInserted" : 1 })
// the 'chevron' prompt revisits the terminal
>;
Mongo Find
Intro to the MongoDB 'find()' function ...
How to find a document in a Mongo collection using dot notation via the 'db.collection.find()' function.
Set up your query in Terminal where 'frame' is the name of a collection in the working database.
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//Type the following function
db.frame.find({'address.street' : 'Jerry'})
//The (MS) returns the entire document ...
//To the Terminal window
//Including the identifying ...
//auto-generated 'hash' for the document
{ "_id" : ObjectId("5839ef0545cc496e4f431110"),
"home" : "ejs26aa01a",
"address" : {
"phone" : "206-000-0000",
"correo" : "1423",
"street" : "Jerry",
"type" : "Rd",
"compass" : null,
"city" : "Seattle",
"state" : "WA",
"zip" : "98109-5210",
"owner" : "Edward John Smith"
}
}
// And, the 'chevron' now appears
>;
Another way to perform this type of search ( find ) is to query the collection using the Mongo Compass rather than via the Terminal.
The Mongo compass has an input line front and center on the 'Schema' tab where simply the query sans the function can be entered, as follows:
Set up your query via the 'Schema' tab of Mongo compass where 'frame' is the name of a collection in the working database.
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//Type the following query in Mongo compass
{"address.street" : "Jerry"}
Notice the Mongo compass requires "double quotes" when entering the key - value pair whereas the Terminal function will accept 'single quotes'.
One of the really cool features of the Mongo compass is the ability to pick and choose the 'fields' you wish to build your query upon by simply clicking the available elements shown.
For Example ( Por Ejemplo ) ...
Let's say you wish to query a collection within the working database for the value 'banana'...
Set up your query via the 'Schema' tab of Mongo compass where 'frame' is the name of a collection in the working database.
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//Type the following query in Mongo compass
{"fruits":"banana"}
Or, for the value 'btw' ...
Remember, the Mongo compass requires "double quotes" when entering the key - value pair.
Set up your query via the 'Schema' tab of Mongo compass where 'frame' is the name of a collection in the working database.
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//Type the following query in Mongo compass
{"autos":"bmw"}
Now, by clicking on the 'Documents' tab in Mongo compass ...
The document housing the inquiry value appears ( similar to the above Terminal result ), as follows:
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// Query returned 1 document.
_id:ObjectID('5839eae645cc496e4f43110d')
autos:Array[5]
0:"chrysler"
1:"bmw"
2:"ford"
3:"general motors"
4:"volkswagen"
Conclusion. Other than the continuing caveat to render your query with "double quotes" ...
The Terminal proves cumbersome when compared to the ability to query effectively through Mongo compass.
Mongo Indexes
Intro to the MongoDB 'getIndexes()' function ...
When we pull the function 'getIndexes()' from the arsenal of functions available in MongoDB ...
Where 'frame' is a collection in the working database.
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//Type the following function
db.frame.getIndexes();
Mongo Remove
Intro to the MongoDB 'remove() function ...
To wipe a collection clean ...
Invoke the simplest of JSON objects ( which is the Empty Object ) denoted by a vacant set of curly braces '{ }'.
Here, the Empty Object '{ }' matches the term 'All Documents'.To remove all of the documents currently stored in the collection 'frame' invoke the following ...
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//Type the following function
db.frame.remove({ })
Mongo Export
Intro to the MongoDB 'mongoexport' command ...
Where an 'export' data command to a (.json) or a (.csv) file may be excuted.
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//Type the following helper command
mongoexport;
JSON is the default format used by MongoDB when exporting data ( fields ) from a collection within a database.
A data output in JSON format can be rendered by the (MS), as follows:
Where 'yourdata' is the name of a MongoDB database, and 'frame' is the name of a collection of documents within your MongoDB database.
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//Type the following helper command
mongoexport --db yourdata --collection frame
MongoDB can also export data ( fields ) into the standard (.csv) format, as well.
Here, the (MS) exports the (.csv) fields of name, weight, and gender from the 'frame' collection within the database named 'yourdata'.
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//Type the following helper command
mongoexport --db yourdata --collection frame
--csv --fields name,weight,gender
Mongo Import
Intro to the 'mongoimport' command ...
Where an import data command from a (.json) or a (.csv) file may be excuted.
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//Type the following command
mongoimport;
Mongo Stats
Intro to the 'stats()' function ...
Where 'db' is the wake-up command to the Mongo Server (MS) to provide 'stats'.
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//Type the following function
db.stats();
Mongo Count
Intro to the 'count()' function ...
The (MS) will provide a specific 'count' where 'frame' is the name of a collection of documents within the current working database.
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//Type the following function
db.frame.count();
Mongo Status
Intro to the 'serverStatus()' function ...
Where 'db' is the wake-up command to the (MS) to provide the current 'serverStatus' of the Mongo Server (MS).
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//Type the following function
db.serverStatus();
Mongo Test
More to come ...
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//Type the following function
>;
//Back to the 'chevron'
>;
For Example ( Por Ejemplo ) ...
More to come ...
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//Type the following function
>;
//Back to the 'chevron'
>;
Supporting Content
Welcome! This is the Supporting Content section for the MongoDB Page | Carbon Free Footprint Project page of the MMINAIL.
The Concept Library of the MMINAIL is a static informational website.
As such, a Supporting Content section is placed below each (.html) page in the flow of the default layout to grant the end-user additional pertinent information when navigating this site.
E Books
With today's explosion of modern devices ...
Some consumers like to read their articles on their Kindles or iPads.
Therefore, a method to convert any page of this website into an eBook ...
Is auto-built into the top of the Navigation <aside> ...
As well as in the <footer> of every page.
Dot ePub
Simply click the following eBook icon =
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.
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The Apple iBooks platform also reads and displays the (.epub) format, as well.
When navigating the menu at the Navigation <aside> ...
Look for the book icon to download the offered eBook directly to your machine.
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The A's Have It!
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Safe Internal Links
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When an end-user clicks on a Topic of Interest ...
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To select any other Topic of Interest, or any of the many subtitles ...
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