惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

H
Heimdal Security Blog
小众软件
小众软件
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
罗磊的独立博客
Google DeepMind News
Google DeepMind News
大猫的无限游戏
大猫的无限游戏
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Hugging Face - Blog
Hugging Face - Blog
阮一峰的网络日志
阮一峰的网络日志
A
About on SuperTechFans
宝玉的分享
宝玉的分享
博客园 - 聂微东
月光博客
月光博客
Cyberwarzone
Cyberwarzone
Microsoft Security Blog
Microsoft Security Blog
V
Visual Studio Blog
Project Zero
Project Zero
T
Tor Project blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
L
LINUX DO - 最新话题
博客园 - 叶小钗
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Attack and Defense Labs
Attack and Defense Labs
Spread Privacy
Spread Privacy
Forbes - Security
Forbes - Security
Simon Willison's Weblog
Simon Willison's Weblog
N
Netflix TechBlog - Medium
P
Proofpoint News Feed
Engineering at Meta
Engineering at Meta
Hacker News: Ask HN
Hacker News: Ask HN
I
InfoQ
M
MIT News - Artificial intelligence
AI
AI
博客园 - 三生石上(FineUI控件)
W
WeLiveSecurity
C
Check Point Blog
The Hacker News
The Hacker News
C
Cyber Attacks, Cyber Crime and Cyber Security
Application and Cybersecurity Blog
Application and Cybersecurity Blog
T
Tenable Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
The Cloudflare Blog
Blog — PlanetScale
Blog — PlanetScale
美团技术团队
D
Darknet – Hacking Tools, Hacker News & Cyber Security
GbyAI
GbyAI
Hacker News - Newest:
Hacker News - Newest: "LLM"
腾讯CDC
K
Kaspersky official blog

Blog — PlanetScale

Keeping a Postgres queue healthy — PlanetScale Patterns for Postgres Traffic Control — PlanetScale Graceful degradation in Postgres — PlanetScale High memory usage in Postgres is good, actually — PlanetScale Stripe Projects partnership: Provision PlanetScale Postgres and MySQL databases from the Stripe CLI — PlanetScale Enhanced tagging in Postgres Query Insights — PlanetScale Behind the scenes: How Database Traffic Control works — PlanetScale Introducing Database Traffic Control — PlanetScale Scaling Postgres connections with PgBouncer — PlanetScale Drizzle joins PlanetScale — PlanetScale Video Conferencing with Postgres — PlanetScale Faster PlanetScale Postgres connections with Cloudflare Hyperdrive — PlanetScale Introducing the PlanetScale MCP server — PlanetScale Database Transactions — PlanetScale Automating our changelog with Cursor commands — PlanetScale Postgres 18 is now available — PlanetScale Using MotherDuck with PlanetScale — PlanetScale $50 PlanetScale Metal is GA for Postgres — PlanetScale AI-Powered Postgres index suggestions — PlanetScale $5 PlanetScale is live — PlanetScale Announcing Vitess 23 — PlanetScale $50 PlanetScale Metal — PlanetScale Report on our investigation of the 2025-10-20 incident in AWS us-east-1 — PlanetScale $5 PlanetScale — PlanetScale Benchmarking Postgres 17 vs 18 — PlanetScale Larger than RAM Vector Indexes for Relational Databases — PlanetScale Partnering with Cloudflare to bring you the fastest globally distributed applications — PlanetScale Processes and Threads — PlanetScale PlanetScale for Postgres is now GA — PlanetScale Postgres High Availability with CDC — PlanetScale Announcing Neki — PlanetScale Caching — PlanetScale The principles of extreme fault tolerance — PlanetScale Announcing PlanetScale for Postgres — PlanetScale Benchmarking Postgres — PlanetScale Announcing Vitess 22 — PlanetScale The Real Failure Rate of EBS — PlanetScale IO devices and latency — PlanetScale Announcing PlanetScale Metal — PlanetScale PlanetScale Metal: There’s no replacement for displacement — PlanetScale Upgrading Query Insights to Metal — PlanetScale Automating cherry-picks between OSS and private forks — PlanetScale Database Sharding — PlanetScale Anatomy of a Throttler, part 3 — PlanetScale Introducing sharding on PlanetScale with workflows — PlanetScale Announcing Vitess 21 — PlanetScale Announcing the PlanetScale vectors public beta — PlanetScale Anatomy of a Throttler, part 2 — PlanetScale Instant deploy requests — PlanetScale Anatomy of a Throttler, part 1 — PlanetScale Increase IOPS and throughput with sharding — PlanetScale Tracking index usage with Insights — PlanetScale Faster backups with sharding — PlanetScale Building data pipelines with Vitess — PlanetScale The State of Online Schema Migrations in MySQL — PlanetScale Optimizing aggregation in the Vitess query planner — PlanetScale Dealing with large tables — PlanetScale Announcing Vitess 20 — PlanetScale Self-managed Vitess vs Managed Vitess with PlanetScale — PlanetScale Achieving data consistency with the consistent lookup Vindex — PlanetScale The MySQL adaptive hash index — PlanetScale Introducing global replica credentials — PlanetScale Profiling memory usage in MySQL — PlanetScale Summer 2023: Fuzzing Vitess at PlanetScale — PlanetScale How PlanetScale makes schema changes — PlanetScale Identifying and profiling problematic MySQL queries — PlanetScale The Problem with Using a UUID Primary Key in MySQL — PlanetScale Announcing Vitess 19 — PlanetScale PlanetScale forever — PlanetScale Introducing schema recommendations — PlanetScale Amazon Aurora Pricing: The many surprising costs of running an Aurora database — PlanetScale Three common MySQL database design mistakes — PlanetScale OAuth applications are now available to everyone — PlanetScale Deprecating the Scaler plan — PlanetScale PlanetScale branching vs. Amazon Aurora blue/green deployments — PlanetScale Databases at scale — PlanetScale Considerations for building a database disaster recovery plan — PlanetScale Working with Geospatial Features in MySQL — PlanetScale PlanetScale vs Amazon Aurora replication — PlanetScale Introducing the Vantage and PlanetScale integration — PlanetScale MySQL isolation levels and how they work — PlanetScale Introducing the schemadiff command line tool — PlanetScale $ pscale ping — PlanetScale Announcing foreign key constraints support — PlanetScale The challenges of supporting foreign key constraints — PlanetScale What is HTAP? — PlanetScale Introducing Insights Anomalies — PlanetScale Webhook security: a hands-on guide — PlanetScale MySQL replication: Best practices and considerations — PlanetScale A guide to HTML email with Ruby on Rails and Tailwind CSS — PlanetScale Sharding for cost-effective database management — PlanetScale PlanetScale ranks 188th in Deloitte’s top 500 fastest-growing companies — PlanetScale Announcing the Fivetran integration — PlanetScale Introducing webhooks — PlanetScale What is MySQL replication and when should you use it? — PlanetScale Sync user data between Clerk and a PlanetScale MySQL database — PlanetScale Introducing database reports — PlanetScale Distributed caching systems and MySQL — PlanetScale What is MySQL partitioning? — PlanetScale MySQL High Availability: Connection handling and concurrency — PlanetScale
Announcing Vitess 9.0 — PlanetScale
Alkin Tezuysal · 2021-01-28 · via Blog — PlanetScale

Alkin Tezuysal |

On behalf of the Vitess maintainers, I am pleased to announce the general availability of Vitess 9.

Major Themes

In this release, we have focused on making Vitess more stable after the successful release of Version 8. There have been no major issues reported, so no patches were released for Version 8. This has allowed us to push further on compatibility and adoption of common frameworks as priorities. We have compiled all improvements into the Release Notes. Please read them carefully and report any issues via GitHub. We would like to highlight the following themes for this release:

Compatibility (MySQL, frameworks)

Our ongoing work ensures that Vitess accepts all queries that MySQL does. We continuously focus on SET and information_schema queries in this release, as well as other common and complex queries. Several parts of the query serving module have been refactored to facilitate further compatibility enhancements.

Please note that reserved connections are still not enabled by default. You should plan to test them first in a test environment to ensure all your queries and frameworks are supported before enabling them in production.

Migration

Enhanced logging and metrics have been added to VReplication to help debug stalled and failing VReplication workflows and to provide increased visibility into other operational and performance-related issues.

VReplication support for JSON columns, which was previously incomplete, has been refactored and is now functionally complete.

A new version (v2) of the VReplication workflow CLI commands has been introduced. These commands incorporate functional and UX improvements based on user experience and feedback. They are deemed experimental (but fully functional), and we welcome feedback and suggestions on improving them further.

Innovation

There has been a significant push towards streamlining Online Schema Changes.

  • Changed syntax: The syntax for online DDL has been changed and finalized. We introduce the @@ddl_strategy session variable, or the -ddl_strategy command line flag to determine whether migration is executed normally (direct) or online (gh-ost or pt-osc). Furthermore, migrations now use the standard ALTER TABLE syntax.
  • Better auditing: A migration is now associated with a context as well as the identity of the issuing vttablet.
  • Better managed: It's possible to list migrations by context and to cancel all pending migrations. Vitess will automatically retry migrations that fail due to a failover.
  • More statements: Online DDL now also works for CREATE and DROP statements. This allows us to group together migrations with the same context.
  • Safe, lazy, and managed DROPs: Online DDL DROP statements are converted to RENAME statements, which send the tables to the lifecycle mechanism: tables are held for safekeeping for a period of time, then slowly and safely purged and dropped, without risking database lockdown. A multi-table DROP statement is exploded into distinct single-table operations.

As always, please validate any new features in your test environments before using them in production.

Documentation

Two new user guides have been created for new adopters of Vitess:

There is a shortlist of incompatible changes in this release. We encourage you to spend a moment reading the release notes to see if any of these will affect you.

Please download Vitess 9 and try it out!