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

Lesson 2, Exercise 2: Using Visual Query Builder to build and run find statements

MongoDB 201: Querying MongoDB Data Building MongoDB find() Queries Lesson 2, Exercise 2: Using Visual Query Builder to build and run find statements

In this exercise, you’ll use Visual Query Builder to build and run the final find statement that you created in the first exercise.

By building the same statement, you’ll get a better sense of the step-by-step approach that you can use in Visual Query Builder to create queries, while seeing how the tool can help simplify the query-building process.

To build and run the find statements

1. In the Connection Tree, expand the sales database node and then expand the Collections node.

2. Double-click the customers collection node to open the collection in a collection tab. 

3. On the customers collection tab, go to the Query Code tab. The tab displays the mongo shell code used to retrieve the customers collection, as shown in the following figure.

Query Code

Notice that the code includes a comment about the required version of mongo shell, along with a use statement that sets the context to the sales database. Next comes the find statement, which uses the getCollection method to specify the collection. 

You can use the code on the Query Code tab in IntelliShell or with other tools or applications to retrieve a collection’s data.

4. Click the Visual Query Builder link near the top right corner of the customers collection tab. Studio 3T opens a form for building queries, as shown in the following figure.

Visual Query Builder

5. In the Query section of the query form, click the Add button (add symbol). The form will expand to include options for defining a search condition.

6. The first drop-down list in the expanded section includes the collection’s fields. From the list, select the address.state option.

7. The second drop-list list contains a list of operators for defining the search condition. From the list, select the in option.

8. In the text box beneath the two drop-down lists, type "Washington", "Oregon" (including the quotation marks and comma), as shown in the following figure.

Query builder

As you build your query in Visual Query Builder, Studio 3T also updates the query form at the top of the customers collection tab. In this case, the form’s Query text box now includes the search condition you just defined, as shown in the following figure.

query tab

9. In the Query section of Visual Query Builder, click the Run button at the top right corner.

Studio 3T runs the query and updates the Query Code tab to reflect the changes you made in Visual Query Builder, as shown in the following figure.

query code

10. Go to the Result tab and click the Count Documents link at the bottom of the tab. The query should have returned 29 documents.

11. In the Query section of Visual Query Builder, click the Add button in the open text box (the one that reads Drag field here or double-click). The form will expand to include the options necessary to define a second search condition.

12. From the first drop-down list, select the device field option.

13. From the second drop-down list, select the contains operator option.

14. In the text box beneath the two drop-down lists, type iphone, as shown in the following figure.

Query iphone

15. Click the Run button at the top right corner of the Query section. Studio 3T runs the query and returns the documents that match both search conditions. Studio 3T also updates the code on the Query Code tab.

16. On the Result tab, change the display to Tree View and expand the first document if not already expanded.

17. Select the following three fields: first, last, and user_name.

To select multiple fields in Windows, click the first field, press Control, and click each additional field. For macOS, click the first field, press Command, and click each additional field.

18. Drag the selected fields to the text box in the Projection section. Studio 3T adds the fields as separate listings in that section, with the include option selected for each field. This ensures that only these three fields (along with the _id field) will be included in the query results.

19. On the Result tab, de-select the three fields and then drag the last field to the text box in the Sort section. Studio 3T adds a listing for that field in the Sort section, along with a second text box.

20. On the Result tab, drag the first field to the new text box in the Sort section. The Visual Query Builder form should now look like the following figure.

Query output look

21. Click the Run button at the top right corner of the Query section. 

22. Go to the Result tab and view the returned documents. The results should now include only 14 documents, and those documents should include only the _id, first, last, and user_name fields, as shown in the following figure.

result page

23. Go to the Query Code tab and view the find statement that Studio 3T generated when you ran the query, as shown in the following figure.

Query code

24. Leave the query results in place for the next exercise.

Previous Topic
Back to Lesson
Next Topic
  • Course Home Expand All
    Performing MongoDB CRUD Operations
    4 Topics | 1 Quiz
    Lesson 1, Exercise 1: Adding a document to a collection
    Lesson 1, Exercise 2: Viewing a document in a collection
    Lesson 1, Exercise 3: Updating a document in a collection
    Lesson 1, Exercise 4: Deleting a document from a collection
    Test your skills: Performing CRUD Operations
    Building MongoDB find() Queries
    4 Topics | 1 Quiz
    Lesson 2: The MongoDB find method
    Lesson 2, Exercise 1: Using IntelliShell to build and run find statements
    Lesson 2, Exercise 2: Using Visual Query Builder to build and run find statements
    Lesson 2, Exercise 3: Using Query Code and IntelliShell to modify and run a find statement
    Test your skills: Building MongoDB find() Queries
    Working with the MongoDB Aggregation Pipeline
    6 Topics | 1 Quiz
    Lesson 3: Introducing the MongoDB aggregate method
    Lesson 3, Exercise 1: Filtering the documents in the aggregation pipeline
    Lesson 3, Exercise 2: Grouping the documents in the aggregation pipeline
    Lesson 3, Exercise 3: Adding and removing fields in the aggregation pipeline
    Lesson 3, Exercise 4: Changing the field order in the aggregation pipeline
    Lesson 3, Exercise 5: Sorting the documents in the aggregation pipeline
    Test your skills: Working with the MongoDB Aggregation Pipeline
    Querying Arrays Using MongoDB $elemMatch
    4 Topics | 1 Quiz
    Lesson 4, Exercise 1: Using IntelliShell to query single and multiple values in an array
    Lesson 4, Exercise 2: Using Visual Query Builder to query a single array value
    Lesson 4, Exercise 3: Using Visual Query Builder to query multiple array values
    Test your skills: Querying Arrays Using MongoDB $elemMatch
    MongoDB 201 Mid-Course Feedback
    Querying Embedded Documents in MongoDB Arrays
    3 Topics | 1 Quiz
    Lesson 5, Exercise 1: Using the $elemMatch operator to query embedded documents
    Lesson 5, Exercise 2: Using conditional operators to query embedded documents
    Lesson 5, Exercise 3: Using Visual Query Builder to query embedded documents
    Test your skills: Querying Embedded Documents in Arrays
    Querying MongoDB with SQL SELECT Statements
    2 Topics | 1 Quiz
    Lesson 6, Exercise 1: Using the SQL Query tool to run SQL statements
    Lesson 6, Exercise 2: Using the SQL Query tool to aggregate collection data
    Test your skills: Querying MongoDB with SQL
    Working with MongoDB Views
    3 Topics | 1 Quiz
    Lesson 7, Exercise 1: Creating a MongoDB view
    Lesson 7, Exercise 2: Querying a MongoDB view
    Lesson 7, Exercise 3: Modifying and deleting a MongoDB view
    Test your skills: Working with MongoDB Views
    Course Extras
    Return to MongoDB 201: Querying MongoDB Data
  • 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