Download the Studio 3T client


1.     Like SQLite can be interacted with through a text-based command line interface or through a graphical interface, so can MongoDB.  We will use a client called Studio 3T.

2.     Download it here:

3.     Install Studio 3T and open it. 

4.     Click the big screen “Connect” button:

5.     In the Connection Manager, click “New Connection.”

6.     Click From URI…

7.     Enter the following exactly as specified:

8.     Connect and you should see the cs340 DB appear.



Familiarize yourself with the addresses collection


1.     To search a mongo collection, you use a JSON document.

2.     Double-click on the “addresses” collection under “cs340” and you should see this screen:

3.     Under “Query”, put the following:    
{"state": "DC"}

4.     Press the blue circle with the triangle inside of it to the right (looks like a “play” button) and the query runs.  You should see THREE results.

5.     Try switching between Table View, Tree View, and JSON View.

6.     By default, MongoDB assumes equality when you write {key: value} in a query.  To get another kind of comparison, you can use the following query operators:


8.     Here’s how they work:

a.     Find all documents where the children field is greater than 1:
{"children": {$gt: 1}}

b.     Find all people who don’t live in DC:
{"state": {$ne: "DC"}}

c.     Find all people who live in a certain set of states:
{"state": {$in: ["DC", "TX", "NC"]}}

9.     Now we will learn how to use AND and OR in MongoDB.

10.  To combine two queries with AND, just use a comma:

{"children": 0, "state": "DC"}

11.  To combine queries with an OR, use the $or operator, which takes an array of documents:
{$or : [ {"children": 0}, {"state": "DC"} ] }

12.  Here is a query that finds all people with greater than 2 children or live in a certain set of states:
{ $or :
{"children": {$gt: 1}},
{"state": {$in: ["DC", "TX", "NC"]}}


13.  You can use “dot notation” to search embedded documents.  Take a look at the “executive” collection.  This contains JSON information for all US presidents and vice presidents.

Find all presidents: {"terms.type": "prez"}
Find all vice presidents: {"terms.type": "viceprez"}

Find all democratic presidents: {"terms.type": "prez", "": "Democratic"}

Find all republican VPs: {"terms.type": "viceprez", "": "Republican"}

Notice how the above are all queries on elements from ARRAYS.  When you use the dot notation with arrays, you are asking that AT LEAST ONE element of the array matches the query.







Lab Questions:




Using the "restaurants" data set, write queries to find the following.  Write just the

query below for each problem, don't turn in the JSON returned.  Use the number of

documents returned to check your work.


1. Find all restaurants located in the Bronx. (2338)

2. Find all bakeries located in the Bronx. (71)

3. Find all bakeries located in either the Bronx or Queens. (275)




4. Find all US Presidents with the first name of John. (4)

5. [Switch to the curcongress collection.]  Find all female members of Congress. (109)

6. Find all Democratic members of Congress representing Tennessee. (2)