If you’re performing frequent “starts with” queries, consider indexing the field you’re querying on. This can significantly improve the performance of these operations. MongoDB Starts With Query Using Regular Expressions Regular expressions, often abbreviated as regex, are sequences of characters ...
Monitor self-managed MongoDB instances: Commands such as rs.status() for replica sets and sh.status() for sharded clusters provide a high level status of the cluster. Cluster operation and connection metrics When your application is struggling or underperforming, you may want to investigate ...
This tutorial focuses on an operational cost methodology to provide a better solution to data storage. I present methods showing how MongoDB can help developers build and maintain cost-effective AI applications optimized for scale in production. Now that we’ve set the stage, we can introduce the...
Elementary MongoDB Queries Counting documents in MongoDB We need to count the documents inside to find out if any data exists in a collection. We will use count_documents method to do so: >>> races.count_documents({}) 9040 Powered By Notice the empty dictionary passed to count_documents...
High Performance: With features likeshardingandindexing,MongoDBcan manage large data sets efficiently. Scalability: Easilyscalable horizontally, which helps in adding more machines as needed. Prerequisites To follow this guide, you should have:
A number of factors can negatively affect MongoDB performance - inappropriate schema design, improper or no indexing, inadequate hardware, replication lag, poor query design. In this blog, we’ll take a look at these different factors and provide tips a
Rich Query Language: MongoDB provides a powerful query language, including support for complex queries, indexing, and aggregation. That’s nice for our example: { "_id": "66532b210d9944a92a88ef4b", "title": "Go to the groceries", "description": "Purchase milk, eggs, and bread", "compl...
To wrap it up, MongoDB Compass is easy to use, GUI, a simple tool to analyze the data stored in the collections. Features like Indexing, Performance, Query and Aggregation Pipeline Building and many more advantages, makes this tool easy to use. Compass is a great tool to understand and ...
In this post, I go over the different index types and how to best work with them in Amazon DocumentDB. Indexing in databases is not unique—this is a concept used in nearly all database engines. With Amazon DocumentDB, indexes help improve the performance of queries. Without an index, A...
MongoDB is used for high-volume data storage, helping organizations store large amounts of data while still performing rapidly. Organizations also use MongoDB for its ad-hoc queries, indexing,load balancing, aggregation, server-side JavaScript execution and other features. ...