Skip to content
Studio 3T - The professional GUI, IDE and client for MongoDB
  • Tools
    • Aggregation Editor
    • IntelliShell
    • Visual Query Builder
    • Export Wizard
    • Import Wizard
    • Query Code
    • SQL Query
    • Connect
    • Schema Explorer
    • Compare
    • SQL ⇔ MongoDB Migration
    • Data Masking
    • Task Scheduler
    • Reschema
    • More Tools and Features
  • Solutions
  • Resources
    • Knowledge Base
    • MongoDB Tutorials & Courses
    • Tool/Feature Documentation
    • Blog
    • Community
    • Testimonials
    • Whitepapers
    • Reports
  • Contact us
    • Contact
    • Sales Support
    • Feedback and Support
    • Careers
    • About Us
  • Store
    • Buy Now
    • Preferred Resellers
    • Team Pricing
  • Download
  • My 3T
search

Academy 3T

  • Explore our courses
    • MongoDB 101: Getting Started
    • MongoDB 201: Querying MongoDB Data
    • MongoDB 301: Aggregation
  • Get certified

Exercise 4: Running an aggregate statement against the target collection

MongoDB 301: Aggregation Working with Reschema for MongoDB Exercise 4: Running an aggregate statement against the target collection

In this exercise, you’ll use IntelliShell to run a simple aggregate statement against the customers_merged collection that you created in the previous exercise.

To run the aggregate statement

  1. In the Connection Tree, expand the sales database node and Collections node, if necessary.
  2. Right-click the customers_merged collection node, and then click Open IntelliShell. Studio 3T adds the IntelliShell tab to the main window and defines a basic find statement on the customers_merged collection object. 
  3. Replace the find statement with the following aggregate statement
db.getCollection("customers_merged").aggregate(
  [
    { "$match": { 
      "$or": [
        { "state": "Colorado" }, 
        { "state": "New Mexico" } ] }
    }, 
    { "$group": { 
      "_id": { "state": "$state", "city": "$city" }, 
      "totals": { "$sum" : "$transactions" } }
    }, 
    { "$sort": { "_id": 1 } }
  ]
);

The aggregate statement includes three stages:

  • The $match stage returns documents whose state value is either Colorado or New Mexico.
  • The $group stage groups the documents first by state and then by city and provides the total number of transactions for each group.
  • The $sort stage sorts the documents by their _id value, which means that they’ll be sorted first by state and then by city.
  1. On the IntelliShell toolbar, click the Run button (the green arrow with the screen tip that reads Run entire script). Studio 3T runs the aggregate statement and displays the results in the tab’s lower panel, as shown in the following figure. The results are displayed in Table View. Use the right-click menu on the table and select Show All Embedded Fields to see the fields within _id. This is the table view with all embedded fields displayed
  1. Close the IntelliShell tab. If prompted to save changes, click No, Discard.
  2. Close Studio 3T.

Quizzes
Working with Reschema for MongoDB: Test your skills
Previous Topic
Back to Lesson
Next Quiz
  • Course Home Expand All
    Building a Basic Aggregation
    4 Topics | 1 Quiz
    Exercise 1: Filtering the documents in the aggregation pipeline
    Exercise 2: Grouping the documents in the aggregation pipeline
    Exercise 3: Sorting the documents in the aggregation pipeline
    Exercise 4: Adding processing options to the aggregation
    Building a Basic Aggregation: Test your skills
    Introducing the Aggregation Editor
    4 Topics | 1 Quiz
    Exercise 1: Importing an aggregate statement into the Aggregation Editor
    Exercise 2: Replace a field in the aggregation pipeline
    Exercise 3: Reorder the fields in the aggregation pipeline
    Exercise 4: Changing the sort order in the aggregation pipeline
    Introducing the Aggregation Editor: Test your skills
    Working with Arrays in the Aggregation Pipeline
    5 Topics | 1 Quiz
    Exercise 1: Using expression operators to filter input documents
    Exercise 2: Unwinding an array to create individual documents
    Exercise 3: Grouping array values and generating a document count for each group
    Exercise 4: Writing pipeline results to a new collection
    Working with Arrays in the Aggregation Pipeline: Test your skills
    MongoDB 301 Mid-Course Feedback
    Adding Lookup Data to the Aggregation Pipeline
    4 Topics | 1 Quiz
    Exercise 1: Adding lookup data to the aggregation pipeline
    Exercise 2: Converting string values in one of the lookup fields to integers
    Exercise 3: Adding a computed ratio field based on the converted lookup field
    Exercise 4: Limiting the number of returned documents
    Adding Lookup Data to the Aggregation Pipeline: Test your skills
    Working with Reschema for MongoDB
    4 Topics | 1 Quiz
    Exercise 1: Setting up a reschema unit that includes lookup data
    Exercise 2: Defining a target collection in the reschema unit
    Exercise 3: Adding and scheduling a task to create the target collection
    Exercise 4: Running an aggregate statement against the target collection
    Working with Reschema for MongoDB: Test your skills
    Reporting with Studio 3T Aggregations
    3 Topics | 1 Quiz
    Exercise 1: Creating a view based on an aggregation query
    Exercise 2: Exporting a collection as a .csv file for use by a third-party tool
    Exercise 3: Visualizing collection data in MongoDB Charts
    Reporting with Studio 3T Aggregations: Test your skills
    Course Extras
    Return to MongoDB 301: Aggregation
  • Studio 3T

    MongoDB Enterprise Certified Technology PartnerSince 2014, 3T has been helping thousands of MongoDB developers and administrators with their everyday jobs by providing the finest MongoDB tools on the market. We guarantee the best compatibility with current and legacy releases of MongoDB, continue to deliver new features with every new software release, and provide high quality support.

    Find us on FacebookFind us on TwitterFind us on YouTubeFind us on LinkedIn

    Education

    • Free MongoDB Tutorials
    • Connect to MongoDB
    • Connect to MongoDB Atlas
    • Import Data to MongoDB
    • Export MongoDB Data
    • Build Aggregation Queries
    • Query MongoDB with SQL
    • Migrate from SQL to MongoDB

    Resources

    • Feedback and Support
    • Sales Support
    • Knowledge Base
    • FAQ
    • Reports
    • White Papers
    • Testimonials
    • Discounts

    Company

    • About Us
    • Blog
    • Careers
    • Legal
    • Press
    • Privacy Policy
    • EULA

    © 2023 3T Software Labs Ltd. All rights reserved.

    • Privacy Policy
    • Cookie settings
    • Impressum

    We value your privacy

    With your consent, we and third-party providers use cookies and similar technologies on our website to analyse your use of our site for market research or advertising purposes ("analytics and marketing") and to provide you with additional functions (“functional”). This may result in the creation of pseudonymous usage profiles and the transfer of personal data to third countries, including the USA, which may have no adequate level of protection for the processing of personal data.

    By clicking “Accept all”, you consent to the storage of cookies and the processing of personal data for these purposes, including any transfers to third countries. By clicking on “Decline all”, you do not give your consent and we will only store cookies that are necessary for our website. You can customize the cookies we store on your device or change your selection at any time - thus also revoking your consent with effect for the future - under “Manage Cookies”, or “Cookie Settings” at the bottom of the page. You can find further information in our Privacy Policy.
    Accept all
    Decline all
    Manage cookies
    ✕

    Privacy Preference Center

    With your consent, we and third-party providers use cookies and similar technologies on our website to analyse your use of our site for market research or advertising purposes ("analytics and marketing") and to provide you with additional functions (“functional”). This may result in the creation of pseudonymous usage profiles and the transfer of personal data to third countries, including the USA, which may have no adequate level of protection for the processing of personal data. Please choose for which purposes you wish to give us your consent and store your preferences by clicking on “Accept selected”. You can find further information in our Privacy Policy.

    Accept all cookies

    Manage consent preferences

    Essential cookies are strictly necessary to provide an online service such as our website or a service on our website which you have requested. The website or service will not work without them.

    Performance cookies allow us to collect information such as number of visits and sources of traffic. This information is used in aggregate form to help us understand how our websites are being used, allowing us to improve both our website’s performance and your experience.

    Google Analytics

    Google Ads

    Bing Ads

    Facebook

    LinkedIn

    Quora

    Hotjar

    Reddit

    Functional cookies collect information about your preferences and choices and make using the website a lot easier and more relevant. Without these cookies, some of the site functionality may not work as intended.

    HubSpot

    Social media cookies are cookies used to share user behaviour information with a third-party social media platform. They may consequently effect how social media sites present you with information in the future.

    Accept selected