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Academy 3T

  • MongoDB 101: Getting Started
  • MongoDB 201: Querying MongoDB Data
  • MongoDB 301: Aggregation

Lesson 1, Exercise 2: Viewing a document in a collection

MongoDB 201: Querying MongoDB Data Performing MongoDB CRUD Operations Lesson 1, Exercise 2: Viewing a document in a collection

In this exercise, you’ll create a simple query to retrieve the document you created in the previous exercise (the document whose last field value is Grey).

You’ll then use features on the Collection Tab to display the document in different views.

To view a document in Table, Tree or JSON View

1. Open the customers collection tab if it’s not already open.

2. In the query form at the top of the tab, type the following expression in the Query text box (deleting the existing curly braces, if necessary):

{ "last": "Grey" }
Query box

The expression defines a simple search condition for retrieving any documents in the collection whose last field value is Grey. In this case, only one document contains this value, the one you added in the first exercise.

Later in the course, you’ll learn more about how to query data in a collection, using both the simple query form and Visual Query Builder.

3. Click the Run query button (Icon) to the right of the Query text box. The query should return the record whose last value is Grey.

4. On the Result tab, select the document returned by your query, and then click the View Document button (icon) on the Result tab toolbar.

Studio 3T launches the Document JSON Viewer dialog box, which displays the document’s JSON code, as shown in the following figure.

document viewer

You can display the code in different JSON formats by selecting the desired option from the drop-down list in the bottom left corner. The figure shows the default view, Mongo Shell Format.

5. Click the Close button to close the Document JSON Viewer dialog box.

6. On the Result tab, select JSON View from the drop-down list to the right of the toolbar. The following figure shows the document in JSON View, which is similar to how the document appears in the Document JSON Viewer dialog box.

Document Json viewer

7. On the Result tab, select Table View from the drop-down list to the right of the toolbar, and then double-click the interests field. The Result tab displays the values in that array, providing you with another alternative for reading the data, as shown in the following figure.

Result tab

You can return to the record’s top level by clicking customers in the breadcrumb, which is just below the Result tab toolbar. From there, you can drill into the address field to view its embedded fields.

8. On the Result tab, select Tree View from the drop-down list to the right of the toolbar, and then expand the fields. The record should now look similar to the following figure.

tree view

Tree View is handy for displaying individual records because it provides a quick overview of the field hierarchy, along with an easy-to-understand list of fields, values, and data types. 

9. Leave the record in place for the next exercise, with the fields expanded in Tree View.

Next – Lesson 1, Exercise 3: Updating a document in a collection
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  • 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
    3 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
    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
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