![]() ![]() This then allows us to appropriately filter the documents of our interest, but also to perform further analysis on the data distribution of only the selected subset. ![]() There are a number of regex engines that are written in slightly different syntax, but the fundamentals are all basically the same, and in this case, MongoDB uses the Perl Regex (PCRE) engine.Īt the most basic level, a regex expression is a string (series of characters) enclosed on both sides by a single slash ( /). As soon as the area is drawn, MongoDB Compass reports the filtering condition in the FILTER field at the top. The trick is to utilize regular expressions (or regex for short), which is basically a text string that defines a search pattern. find() to query our collection, we can actually modify our syntax ever so slightly and begin searching for matches based on a word or phrase that may be a partial match within a given field, similar to the LIKE operator for SQL engines. You can also MongoDB Compose to easily query your MongoDB data in a visual environment by simply providing the filter in the Query bar. Suppose you have a user collection and you. MongoDB provides the filter aggregation operator that allows you to filter out your documents and extract the fields you want based on the condition you have specified. That’s a lot of burgers! Searching for Word Similarities Using Regex Filter by multiple fields in MongoDB In this article, I will share with you how to filter by multiple fields on a collection in MongoDB.
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