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
Help Net Security
爱范儿
爱范儿
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 三生石上(FineUI控件)
大猫的无限游戏
大猫的无限游戏
Hugging Face - Blog
Hugging Face - 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
Vercel News
Vercel News
人人都是产品经理
人人都是产品经理
G
Google Developers Blog
WordPress大学
WordPress大学
S
SegmentFault 最新的问题
雷峰网
雷峰网
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Jina AI
Jina AI
博客园 - 叶小钗
D
DataBreaches.Net
D
Docker
月光博客
月光博客
博客园 - 司徒正美
Last Week in AI
Last Week in AI
有赞技术团队
有赞技术团队
腾讯CDC
酷 壳 – CoolShell
酷 壳 – CoolShell

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 Vitess 16 — PlanetScale
Vitess Engineering Team · 2023-02-28 · via Blog — PlanetScale

Vitess Engineering Team |

We are pleased to announce the general availability of Vitess 16.

Major themes in Vitess 16

Documentation improvements

In this release, the maintainer team has decided to put an emphasis on reviewing, editing, and rewriting the website documentation to ensure it's current with the code. With help from CNCF, we have also improved the search experience. We welcome feedback on the current iteration of the docs.

GA announcements

We are marking VDiff v2 as Generally Available or production-ready in v16. We now recommend that you use v2 rather than v1 going forward. Version 1 will be deprecated and eventually removed in future releases.

This new version of VDiff offers a much improved overall user experience, especially when migrating very large tables. You can read more about VDiff v2 in the Introducing VDiff V2 blog post.

VTOrc is now mandatory

VTOrc is a required component of Vitess starting from this release. You must run at least one instance of VTOrc in order for Vitess to automatically manage the backing MySQL clusters.

MySQL compatibility improvements

We have been making steady progress on adding query support for more MySQL constructs. In this release, we have added support for Views in Vitess. It is now possible to create views that access data across shards, and they will work as intended in Vitess. Note that this is considered an experimental feature. It will move to GA in a future release.

Other improvements

Support for native incremental backups and point-in-time recoveries has been added. It is now possible to take an incremental backup, starting with the last known (full or incremental) backup, up to either a specified (GTID) position or the current ("auto") position. Using these incremental backups, you can restore a backup up to a given point in time (GTID position) without relying on a binlog server. Note that this is only supported for the file-based builtin backup method, not for xtrabackup.

A new VEXPLAIN command has been introduced to help users gain more insight into query planning in Vitess. This gives users the ability to inspect the query plan produced by VTGate, all the queries executed on the MySQL instances, and the MySQL EXPLAIN output for the executed queries.

Try it out

We are very pleased with the great strides we have made with v16 and hope that you will be as well. We encourage all current users of Vitess and everyone who has been considering it to try this new release! We also look forward to your feedback, which can be provided via Vitess GitHub issues or Vitess Slack.