#postgresql

#postgresql

The article details the full data synchronization process from MySQL to PostgreSQL using Apache SeaTunnel 2.3.9.

Single-user mode is essential for performing critical database tasks without conflicts.

Transitioning back to multi-user mode is crucial after maintenance to restore normal operations.

Example JDBC connection strings for popular databases.

This boilerplate combines NestJS, Qwik City, and PostgreSQL with a strong emphasis on TypeScript and modern development practices.

Building an ETL pipeline in TypeScript enhances type safety and maintainability while processing data from various sources.

Microsoft has launched a fully open-source document database platform built on PostgreSQL, providing a no-cost, schema-less solution for developers.

Open-source DocumentDB offers an alternative to MongoDB.

Azure Cosmos DB vCore introduces a predictable pricing model.

The new DocumentDB built on PostgreSQL provides a NoSQL environment.

Migration between Cosmos DB versions requires complete data transfer.

Microsoft's open-source PostgreSQL extensions blur the lines between relational and non-relational databases, particularly targeting MongoDB.

The introduction of Binary JSON and MongoDB-compatible commands showcases a shift in database technology.

Document databases are increasingly integrating features of relational databases.

PostgreSQL's PostGIS extension offers robust geographical data handling, essential for calculating distances and identifying locations using defined coordinate systems.

PostGIS allows various operations on polygons in PostgreSQL, integrated through raw SQL queries and Drizzle ORM.

PostGIS enables the storage and representation of polygons in PostgreSQL, highlighting geographical data management.

Recursive relationships enable hierarchical structures in database design, allowing entities to reference themselves.

Polymorphic associations optimize database design by allowing a single comment table to relate to multiple types of content without redundancy.

Pattern matching in SQL is essential for efficient text searching in web applications using Drizzle ORM, PostgreSQL, and NestJS.

Flexible time intervals can be defined in PostgreSQL, validated through custom validators, and effectively managed using Drizzle ORM.

Full-text search in PostgreSQL enables rapid and relevant document searches with Drizzle ORM and NestJS implementation.

A good file structure from the start simplifies application maintenance as it scales.

Efficient file uploads and downloads can be achieved in web applications with minimal coding, using PostgreSQL and Gliimly.

Floating-point representation is unreliable for storing monetary values due to potential inaccuracies.

UUIDs offer a robust method for generating unique identifiers, addressing the need for uniqueness in databases.

Timescale's pgai Vectorizer enables seamless AI integration within PostgreSQL, streamlining workflows and enhancing vector embeddings management.

PostgreSQL 12 will reach end of life soon; many users must prepare for upgrades to remain supported.

The PostgreSQL community now recommends using identity columns over serial types for defining primary keys.

Effective index management in PostgreSQL 16 is key to optimizing database performance as data volumes increase.

Ensuring data integrity is a key role for developers, and SQL databases provide tools for consistency. Transactions in SQL maintain atomicity, consistency, isolation, and durability (ACID properties).

PostgreSQL offers structured data handling, while MongoDB suits flexible data with varying attributes. PostgreSQL supports storing and querying loosely structured JSON data using JSON columns effectively.