Too bad that in spite of being my favourite director, I can only remember his last name: oh well, that will have to do. Now I am going to get a list of movies of my favourite director. As an example let´s imagine we got a MongoDB collection of movies that has the following fields: title, plot, and director. In MongoDB we can query string fields quite easily using regular expressions. Now let´s see how we can achieve the same with MongoDB. SELECT * FROM names n where n.name LIKE '%a%' The other way is through a query bar with auto-completion. It recently added an embedded MongoDB shell, which is a fully functional JavaScript environment for interacting with MongoDB deployments. Compass offers two ways to build queries. This query will find all values that contains a ‘a’ in any position: Querying in Compass requires some knowledge of the mongo shell syntax. SELECT * FROM names n where n.name LIKE '%Smith' This query will get all the values ending with ‘Smith’: MongoDB Compass is a tool designed to allow users to easily analyze and understand their schema within MongoDB without having to connect to a shell or be. SELECT * FROM names n where n.name LIKE 'James%' 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’: Enter an integer representing the number of documents to return into the Limit field. 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. To specify the limit: In the Query Bar, click Options. If you make a syntax error, Compass will turn the FILTER badge to red, indicating there is a problem with the query. You can use any valid query document that you would use in a find () command to filter date in the FILTER field. LIKE allow us to check if 2 strings are equal: MongoDB Compass will narrow the list of documents to the two entries matching the filtering criteria. Viewing Saved Queries Starting in MongoDB Compass 1.31, you can view your saved queries and aggregation pipelines on the My Queries view once connected to your cluster.
3 Name your query Enter a name for your query.
2 Select favorites Click the Star button. In SQL we commonly use the LIKE function to compare strings. Open query history Click the History button at the top of the pipeline builder. MongoDB Compass also provides and option to export queries in to programming language of. In compass, you need to give the below in the query textarea.
Mongodb compass query how to#
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. Features of MongoDB Compass: Easy Querying: It makes querying on the MongoDB Database relatively simple, as no prior knowledge of MongoDB query is required. How MongoDB Compass can be used to write queries and filter results.
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