Philip Replication lag in PostgreSQL can manifest as a delay between when data is written to the primary server and when it’s replicated to the standby or secondary servers. This delay can be problematic for applications requiring up-to-date read replicas or for those employing complex disaster recovery strategies. The primary factors contributing to replication lag include …
When migrating to Aurora PostgreSQL, you may encounter unexpected lock waits. Lock waits occur when a database session requires access to a data part that another session is using, leading to significant performance issues. Understanding and resolving these waits is crucial to maintaining the efficiency and speed of your database operations post-migration. Upon completing your …
In PostgreSQL, the management of transaction IDs is critical to ensure the reliability and consistency of your database. Each transaction is assigned a unique identifier known as a transaction ID (TXID), but due to their finite numerical space, there is a risk of exhausting the available numbers, leading to what’s called transaction ID wraparound. If …
When utilising PostgreSQL, it’s common to expect that indexes will optimise query performance by speeding up data retrieval. Yet, there are times when you might discover that an index you’ve created isn’t being used by the query executor, and it’s not immediately clear why. Understanding why PostgreSQL chooses not to use an index can be …
Navigating the landscape of database administration can be daunting, but for those working with MongoDB, mastering the available administration tools is essential to ensure robust operation and maintenance. MongoDB offers an array of tools designed to facilitate setup, configuration, and ongoing management, giving administrators the power to monitor performance, set up replication, perform backups, and …
MongoDB is a cutting-edge NoSQL database favoured by developers around the world for its flexibility, performance, and scalability. As a document database, MongoDB stores data in JSON-like structures, providing a more dynamic schema that allows you to store complex data types and manage large volumes of data. To fully leverage MongoDB’s capabilities, it’s imperative to …
MongoDB has emerged as a leading NoSQL database, providing a robust and flexible schema which allows for the storage of documents in a JSON-like format. Learning MongoDB’s query language is essential for developers and database administrators who need to manage and manipulate the constantly growing data within modern applications. MongoDB’s query language, with its rich …
Working with JSONB data in PostgreSQL opens up a myriad of possibilities for storing and querying unstructured data within a relational database system. JSONB, which stands for JSON Binary, is a data type in PostgreSQL designed to store JSON (JavaScript Object Notation) documents in a more efficient binary format. This allows for sophisticated data retrieval …
MongoDB is renowned for its flexibility, and a key aspect of this lies in its pluggable storage engine architecture, which allows you to choose an engine based on your workload’s specific requirements. Each storage engine offers unique characteristics that cater to various operational needs, be it performance, data compression, or in-memory storage. Understanding the intricacies …
MongoDB’s document model is a revolutionary approach to database design that enables developers to store and query data with high efficiency and flexibility. Unlike traditional table-based relational databases, MongoDB utilises a document-oriented database structure that stores information in JSON-like documents with dynamic schemas. This offers a more natural way to represent data, as the document …