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Exercise 3: Reorder the fields in the aggregation pipeline

MongoDB 301: Aggregation Introducing the Aggregation Editor Exercise 3: Reorder the fields in the aggregation pipeline

In this exercise, you’ll add a stage to the pipeline after the $project stage. The new stage will be based on the $replaceRoot aggregate operator, which replaces input documents with output documents. In this way, you can reorder the fields as they pass through the pipeline.

To reorder the fields in the aggregation pipeline

  1. On the Pipeline tab of the Aggregation Editor, ensure that $project stage is selected, click the small down arrow to the right of the Add button, and click Add New Stage After Selected Stage. 
    The Aggregation Editor adds a new tab to the right of the 3: $project tab and makes the new tab active. As before, the new stage is based on the $match operator, so the tab is named 4: $match. 
  1. On the new tab, select the $replaceRoot option from the Operator drop-down. The $replaceRoot operator lets you change the order of the fields in the pipeline.
    When you select the $replaceRoot option, the Aggregation Editor adds an expression that starts with the newRoot keyword, followed by a placeholder. You must start your expression with the newRoot keyword, along with a trailing colon. The subexpression that follows should be enclosed in curly braces.
  1. In the editor window, delete the subexpression placeholder text and type the following code after the newRoot operator and its trailing colon:
{state: "$state", total: "$total"}

The new code includes two elements, one for the state field and one for the total field. The value assigned to each field is the original field, with the name preceded by the dollar sign, which is necessary when specifying a field as a value. The subexpression ensures that the state field appears first, followed by the total field. The complete expression should now look like the following code:

{
  newRoot: {state: "$state", total: "$total"}
}
  1. In the Stage Input pane, click the Execute button. Studio 3T runs the pipeline for the first three stages and returns the data to that pane. This is the data that is used as input for the $replaceRoot stage.
  2. In the StageOutput pane, click the Execute button. This will execute the pipeline up to and including the fourth stage. The following figure shows part of the results, with the state field listed first, followed by the total field.
  1. Go to the Query Code tab. Verify that the pipeline includes the $replaceRoot operator and its expression.
  2. Go to the Pipeline tab. Verify that the pipeline includes the $replaceRoot stage.
  3. In the Pipeline output pane, click the Refresh button to update the results.
  4. Click Save on the Aggregation Editor toolbar to save your changes.
  5. Leave the Aggregation tab open and the existing statement in place for the next exercise. You’ll be modifying the statement by changing the sort order.

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  • 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
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