AI Briefing#database
The latest AI and developer news about #database, with the original source and a short summary.
The latest AI and developer news about #database, with the original source and a short summary.
Andi Gutmans, creator of PHP and head of Google Cloud Database, and Kakao's CTO shared their experiences with technological transformation in the AI era.
Kakaopay resolved large-scale data processing issues on its MyData platform through distributed data storage and the adoption of Palsonic.
A Kurly developer pointed out the inefficiency of JPA saveAll and improved 1:N data processing performance using JDBC Bulk Insert leveraging Auto Increment PK inference.
This summarizes how to switch the soon-to-expire RDS CA certificate to a new CA and whether a restart is required.
It presents methods to optimize Network and Database I/O, the causes of performance degradation in Spring Batch, through bulk processing and parallel processing.
This covers the process and incident encountered while attempting an **online alter** to add a new column to a large-scale MySQL table.
This analyzes a Hot Range issue in CockroachDB that occurred during the Cookie Run: Kingdom guild update, along with its cause.
Replit has launched a PostgreSQL database preview that can be instantly created and used within the workspace.
This piece records the 36-hour service maintenance incident that occurred right after the launch of Cookie Run: Kingdom, and the response process seen from the perspective of a new engineer.
MySQL timestamp suffers from the Y2K38 Problem in 2038 due to its 32-bit limitation.
Oliveyoung introduced MongoDB to its display area to secure flexibility in data structure and improve management efficiency.
This covers the cause of and solution to performance degradation that occurs when using $search and $sort together in MongoDB Atlas Search.
Repl.it has launched a built-in key-value database that can be used instantly without any separate setup.
An analysis and fix for a lookup failure caused by MySQL's right-padding when storing UUIDs as BINARY(255) in JPA.
Due to page locking structures and unidirectional Linked Lists during Backward Scans, performance differences of up to 44% occur.
Worked directly with MySQL in Python, learning CSV import/export and DB CRUD operations.
We reviewed Django's queries and database layer, revisiting the ORM, transactions, and indexes.
SCAN ensures consistent iteration during Rehashing by using reverse-bit increment on the Cursor and traversing dual hash tables.
The tool operates stably with 2-3% CPU usage in a 30,000 QPS environment and its source code is available on GitHub.