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 ...
Leading organizations like Uber, Coinbase, Forbes, and Accenture use MongoDB. Its robust features, such as real-time ad-hoc queries, built-in indexing, load balancing, and seamless scalability, stand out. Whether deployed on-prem or in the cloud via MongoDB Atlas, it enables efficient data ...
Embedding generation: Generate embeddings for each node using the chosen embedding model (OpenAI, in this case, due to its wide adoption). MongoDB setup: Establish a connection to MongoDB Atlas and create a database and collection for storing the Airbnb data. Vector database integration: Utiliz...
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...
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
“If a write operation modifies an indexed field, MongoDB updates all indexes that have the modified field as a key” So, be careful while choosing indexes as it may affect your DB performance. Indexing Example: Sample entry in the restaurant database ...
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 Unique Introduction to MongoDB Unique MongoDB’s Unique Constraint makes certain that the fields indexed in it, do not store duplicate values for the same field, i.e., making sure the uniqueness of fields. By default, MongoDB enforces this unique constraint on the “_id” field, ...
MongoDB provides the following key features: Rich queries Indexing Replication & high availability Horizontal and vertical scaling Auto sharding Load balancing MongoDBis a perfect choice in applications that handle high traffic and which need to scale to massive sizes within a short time span. It’...