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Application of replication slots in PostgreSQL

Replication slots in PostgreSQL are a mechanism for streaming physical and logical replication to keep the standby servers current with changes from the primary server. Replication slots help manage the data flow between primary and standby servers. Physical replication slots and logical replication slots are the two primary categories of replication slots in PostgreSQL. 1. […]

Introduction to WAL files and Replication Slots in PostgreSQL

PostgreSQL and many other relational database management systems (RDBMS) use Write-Ahead Logging (WAL) as a crucial component to guarantee data integrity, durability, and crash recovery. Before they are applied to the actual data files, it is a mechanism for reliably and sequentially recording database changes. The ACID (Atomicity, Consistency, Isolation, Durability) properties of a database […]

Why You Should Use Replication Slots in PostgreSQL

In Database systems that use logical replication, replication slots are especially important for database replication. The logical replication mechanism in PostgreSQL’s database system supports replication slots. Logical database replication depends on replication slots, which are essential. They manage replication lag, prevent replicas from becoming overloaded, guarantee dependable data delivery from the primary to replicas, and […]

The basics of NoSQL databases and MongoDB’s features

NoSQL, which stands for “Not Only SQL,” is a term used to describe a category of database management systems that diverge from the traditional relational database management systems (RDBMS). Unlike RDBMS, NoSQL databases are designed to handle and manage large volumes of unstructured, semi-structured, or structured data, offering more flexibility and scalability. NoSQL databases are […]

How to perform Create, Read, Update, and Delete operations using MongoDB

Difference in CRUD operations in SQL and NoSQL Databases CRUD (Create, Read, Update, Delete) operations are fundamental actions performed on data in databases. The differences in how these operations are handled between SQL (relational databases) and NoSQL (non-relational databases) databases are rooted in the underlying data models and structures. SQL Databases Data Model: SQL databases […]

Schemas and MongoDB’s document-oriented structure

In MongoDB, a schema refers to the organization or structure of documents within a collection. Unlike traditional relational databases, MongoDB is a NoSQL database that stores data in a flexible, schema-less format called BSON (Binary JSON). MongoDB collections do not enforce a rigid, predefined schema, allowing documents within the same collection to have different fields. […]