$out Example
Below we have provided a step-by-step guide, on how to use $out stage in the aggregation pipeline.
Step 1: In this step, we have used the sample_supplies database. The aggregation pipeline that is shown below will group documents by the storeLocation field and calculate the total items sold at each location. Then the queried results are written to a new collection named “store_items_totals“.
Step 2: After executing the query we come to know that a new collection has been created in the database. This can be confirmed by writing the command “show collections“. From the below picture, we can infer that “store_items_totals” is created as a new collection in the sample_suppies database.
Step 3: To check whether the query is written successfully in the new collection we run the command find( ) to display the items in the collections.
Step 4: Finally we can infer from the above image that our query is written successfully on a new collection.
MongoDB Aggregation $out
MongoDB’s Aggregation Pipeline is a powerful tool for data processing that allows users to perform a series of operations to filter, transform, and analyze data. One key stage in the aggregation pipeline is the $out stage, which enables users to write the output of the pipeline to a new collection.
In this article, we’ll explore the $out stage in the MongoDB aggregation pipeline along with its syntax, use cases, and examples of how it can be used efficiently to manage and analyze data.