![]() This cookie is set by GDPR Cookie Consent plugin. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. ![]() Necessary cookies are absolutely essential for the website to function properly. The Aggregation tab will give you a preview of the results you will get, very helpful for debugging while you create your pipeline. ![]() All you need to do is to open you Aggregation tab in Compass, select a “$match” operator block, and write the following: /** However, we got our trusty Google search and the great support of Compass to help us. Unfortunately, MongoDB has been built for JavaScript, and none of those keywords hold power there. In Python you would have your trusty in operator (or. For instance, I want to get all records where the “category” field value is one of “Grocery”, “Fruit and Vegetables”, etc. In case you are overwhelmed by JavaScript as I do, you will find a bit complicated to get your head around the syntax you need to use to get the Aggregation pipeline delivering the results you want.įor this specific case, my goal is to select all records in the MongoDB collection where a certain field has a value which is included in a list. So you should know that Compass is the way to go for creating Aggregation pipelines. I already provided an introduction to MongoDB and Compass in a previous post for my MongoDB series. We will see how to match a field with values in a list to help you select. MongoDB is one of the leading NoSQL databases, and its aggregation framework enables powerful queries, as well as data operations. ![]()
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