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October 15, 2025

Initial Implementation of Asynchronous Indexing and Experiments with the New JSON Type — Contributions from International Contributors| Greptime Biweekly Report

Over the past four weeks, GreptimeDB has continued to improve in both performance and functionality: adding cgroups support to enhance K8s metric accuracy, introducing an asynchronous indexing framework, and experimenting with a new native JSON type.
Yisong Shui
Software Engineer
Initial Implementation of Asynchronous Indexing and Experiments with the New JSON Type — Contributions from International Contributors| Greptime Biweekly Report

Summary ​

Together with our global community of contributors, GreptimeDB continues to evolve and flourish as a growing open-source project. We are grateful to each and every one of you.

Below are the highlights among recent commits:

  • Improve resource metric accuracy under K8S environment using cgroups
  • Introduce async index build task
  • Experimenting with new JSON datatype implementation

Contributors ​

For the past two weeks, our community has been super active with a total of 136 PRs merged. 8 PRs from 6 individual contributors merged successfully and lots pending to be merged.

Congrats on becoming our most active contributors in the past 2 weeks:

🎉 Welcome @matthias-wende-frequenz @pbzweihander @Shyamnatesan and @thalesmg to the community as a new contributor with a successfully merged PR, and more PRs from other individual contributors are waiting to be merged.

(Figure 1: New Contributors of GreptimeDB)
(Figure 1: New Contributors of GreptimeDB)

👏 A big THANK YOU to all our members and contributors! It is people like you who are making GreptimeDB a great product. Let's build an even greater community together.

Highlights of Recent PRs ​

db#7038 Add cgroup Metrics Collector ​

This PR adds the ability to validate the cgroups filesystem, improves the accuracy of CPU and memory metrics under the K8S environment.

db#6927 Introduce IndexBuildTask for Async Index Build ​

This PR lays the foundation of the asynchronous index framework. The database would be able to build indexes in the background, improving performance and stability of foreground operations like flushing and compaction.

db#7033 db#7052 Supports Native Struct, Vector, JSON and Their Conversion ​

Currently, the database supports JSON datatype using jsonb as the underlying implementation. It's not ideal when it comes to efficiency and interoperability. We're experimenting with a new native implementation of JSON datatype to improve the overall performance of JSON datatype.

Good First Issue ​

Issue#6989 Enhance COPY FROM CSV File Command ​

Keywords: CSV

Difficulty: Simple

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