These indexes can then be used to further enhance the functionality of the MongoDB databases increasing the performance of applications which utilize fast database queries. You learned how to create, find, and drop indexes, use different index types, and create complex indexes. That concludes this MongoDB indexes tutorial. The above-created index will limit the indexing to documents with unique values in the name field. In MongoDB, indexes are defined in the collection level and indexes on any field or subfield of the documents in a collection are supported.įor this tutorial, weâll use the following data set to demonstrate the indexing functionality of MongoDB. ![]() This ordering helps to perform equality matches and range-based query operations efficiently. These values are used to order the indexed fields. In simplest terms, indexes store the values of the indexed fields outside the table or collection and keep track of their location in the disk. Indexes are special data structures that store a small part of the Collectionâs data in a way that can be queried easily. Use the right-hand menu to navigate.) What are indexes in MongoDB? (This article is part of our MongoDB Guide. In this tutorial, Iâll walk you through different types of indexes and show you how to create and manage indexes in MongoDB. By limiting the number of documents to be queried, youâll increases the overall performance of the application.
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