Database Indexing Mistakes That Senior Java Developers Still Make in 2026: A Deep Dive With PostgreSQL and Hibernate

You’ve shipped dozens of services. You know what a B-tree is. Yet your PostgreSQL queries are still crawling at 3…

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How Database Indexes Work

Database performance is one of the most important aspects of backend application development. As data grows, query execution becomes slower…

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Understanding Database Triggers

Database triggers are powerful mechanisms that allow you to automatically execute predefined logic in response to specific events occurring in…

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Spring Boot With PostgreSQL On Heroku

In modern cloud-native applications, deploying backend services on platforms like Heroku and connecting them to managed databases such as PostgreSQL…

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The PostgreSQL Extensions Ecosystemin 2026

How a single database became the default platform for AI, time-series, geospatial, and full-text search — all through extensions. PostgreSQL…

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Java PostgreSQL Query Cancellation Explained

PostgreSQL is known for its robustness, performance, and strong support for concurrency. However, while working with long-running queries, background jobs,…

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Spring Boot & Flyway: Manage Multiple Databases

Managing multiple databases in a Spring Boot application can be challenging, especially when you want to maintain database migrations consistently.…

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PostgreSQL LISTEN/NOTIFY Events Example

1. Introduction In modern applications, real-time responsiveness is no longer optional. For developers working with Java and PostgreSQL, one of…

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Introduction to PgVector

PgVector is a PostgreSQL extension that adds support for vector data types, enabling efficient storage, indexing, and similarity search on…

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