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Totally agree.Database with both row and column storage engine could help a lot.T hat's the reason OSSInsight like workload can run on top of TiDB easily, whether scan the whole table or scan part of the index.

Keeping low latency for an online data service with more than 5 billion records can be a challenge. Features like query the database with natural language(https://ossinsight.io/explore).This makes it easier for users to access the data without having to know SQL. But the generate SQL could be pretty heavy(many Full table scan and index scan).

Answers from AI could be wrong sometimes(close to 20%). The better database schema and purpose provide for AI, the better results you can get. This can help the AI better understand what you are asking it to do and improve the accuracy.

It works pretty well. AI can generated SQL with Common table expressions, window functions, and many kinds of joins.

That's super cool. I can quickly and easily use natural language to do query. Which AI model is being used?

https://ossinsight.io/analyze/kubernetes/kubernetes?playgrou...

Paper link: https://fling.seas.upenn.edu/~zyuxuan/dynamic/wordpress/wp-c...

There are some other projects provide even more trending information than Github itself, for example: https://ossinsight.io/

https://www.usenix.org/conference/atc22/presentation/kuznets...

The slides: https://drive.google.com/file/d/1m5AjP0GAcYmHyf4-8FhwiKJyycD...

According to metrics from https://ossinsight.io/collections/text-editor/trends/ , Atom is dying.

https://twitter.com/ericabrescia/status/1524041318275686403

source repo: https://github.com/balsa-project/balsa

Paper: https://zongheng.me/pubs/balsa-sigmod2022.pdf

Paper link: https://arxiv.org/abs/2003.10554

Paper: https://arxiv.org/abs/2001.04592

This is so cool. Now we are able to run operating system in the browser, and we are able to run database in the browser(https://pingcap.com/blog/how-we-compiled-a-golang-database-i...). So what's next?

There are some great slides: https://static.sched.com/hosted_files/foundationdbsummit2019...

There is another implementation of failpoints for Golang. Which is used by TiDB. See more details: https://github.com/pingcap/failpoint

More details can be found here: https://github.com/pingcap/tidb/pull/13069

Open your favorite browser (I am using Chrome on macOS and have tried Firefox on Linux, we are also testing other browsers) on your laptop/PC, go to https://play.tidb.io

Now you can type any SQL text and enjoy the power of Wasm.

How does it compare to SQL Server Columnstore Indexes?

tidb-wasm: Run TiDB Inside Your Browser (and everywhere). The project is so cool. I love it. Thanks for sharing.

The new, improved Anna running on Kubernetes in AWS now outperforms ElastiCache and DynamoDB when it comes to efficiency (last year it outperformed Redis in terms of pure perf)

See: https://twitter.com/copyconstruct/status/1165423688847478784

It support Azure too. https://github.com/kahing/goofys/blob/master/bench/azure/REA...

paper link: https://mssun.me/assets/ares19securing.pdf

Something related to the benchmark: https://pingcap.com/blog/why-benchmarking-distributed-databa...

Running a distributed database cluster TiDB as a Demo.

Github repo: https://github.com/mattermost/mattermost-server

Mattermost raises $50 million to advance its open source Slack alternative

https://venturebeat.com/2019/06/19/mattermost-raises-50-mill...

How does it compare to Redis threaded I/O? (https://twitter.com/antirez/status/1110973404226772995?lang=...)

Using 4 threads it is simple to get 2x the performances of single-threaded Redis (even if yet the reading part is not threaded).