I will filter by the director field, and get all the documents that end with ‘Spielberg’:ĭb.getCollection("movies"). Step 4: After that, click Connect with MongoDB Compass and copy the provided. Too bad that in spite of being my favourite director, I can only remember his last name: oh well, that will have to do. A regular expression is a generalized way to match patterns with sequences. Now I am going to get a list of movies of my favourite director. See Behavior for more information on the field. MongoDB performs a logical OR search of the terms unless specified as a phrase. As an example let´s imagine we got a MongoDB collection of movies that has the following fields: title, plot, and director. A string of terms that MongoDB parses and uses to query the text index. MongoDB uses Perl compatible regular expressions (i.e. ![]() In MongoDB we can query string fields quite easily using regular expressions. Provides regular expression capabilities for pattern matching strings in queries. ![]() Now let´s see how we can achieve the same with MongoDB. For Case insensitive query please prepare a query as explained in the above first example. SELECT * FROM names n where n.name LIKE '%a%' filter builder.Regex ('Author', '' + search + '.') Search Result: The above query returns all the Authors which starts with J values. However, these methods fall short when it comes to filtering against fields containing rich textual data. This query will find all values that contains a ‘a’ in any position: Introduction MongoDB queries that filter data by searching for exact matches, using greater-than or less-than comparisons, or by using regular expressions will work well enough in many situations. SELECT * FROM names n where n.name LIKE '%Smith' This query will get all the values ending with ‘Smith’: Regex is a series of characters forming a pattern to. ![]() and operator search with regular expression mongodb compass. SELECT * FROM names n where n.name LIKE 'James%' To execute a MongoDB equivalent of a MySQL like clause, MongoDB uses regex. 'compass' mongodb filter or search regex. Developers who had worked with SQL Server are well familiar with the % wildcard that represents 0 or any number of characters.įor example, this query will find all values starting with ‘James’: SELECT * FROM names n where n.name LIKE 'James Smith'īy combining the use of the LIKE function with wildcards, we can find all values that start, end, or contain a string at a given position. LIKE allow us to check if 2 strings are equal: Performs a regular expression (regex) pattern matching and returns: true if a match exists. In SQL we commonly use the LIKE function to compare strings. Definition regexMatch New in version 4.2. In this post we saw the basics of MongoDB filtering, now it is time to have a closer look at how to filter and search information in MongoDB collections when dealing with attributes of type string.
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