BohuTANG

5 ms·

1.
by BohuTANG 3mo ago
Suggestion for Pi: capitalize tool names for the Sonnet/Opus models (edit -> Edit, bash -> Bash, ...). The rationale: Anthropic's own harness (Claude Code) uses PascalCase tool names — Bash, Edit, Read, Write, Glob, Grep. Si
2.
Show HN: BendClaw – Distributed AgentOS Written in Rust(github.com)
1 points by BohuTANG 7mo ago|0 comments
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Snowtree: Review-Driven Safe AI Coding(bohutang.me)
1 points by BohuTANG 9mo ago|1 comments
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by BohuTANG 9mo ago
Hey everyone, I'm excited to open-source Snowtree: my tool for safe AI coding! Team up with AI like Claude or Codex in your IDE—stay in control with isolated sessions, easy reviews, and snapshot saves. No chaos, just smarter workflows.
5.
by BohuTANG 1y ago
Yes, Databend's metadata service ( https://github.com/databendlabs/databend/tree/main/src/meta ) also uses a Raft implementation written in Rust: https://github.com/databendlabs&#
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by BohuTANG 1y ago
Neon (open-source alternative to Aurora) is 73.6% Rust. Databend (open-source Snowflake alternative) is even more Rust-heavy at 97.2%. Interesting trend - modern serverless databases choosing Rust for its memory safety, performance predicta
7.
by BohuTANG 2y ago
BendSQL is a cli tool. I suggest to use the drivers list here: https://docs.databend.com/guides/sql-clients/developers/
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by BohuTANG 2y ago
Thanks, sverg! From my experience, query-fast is a better product than many other AI-to-SQL solutions. I'm really looking forward to this product.
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by BohuTANG 2y ago
Interesting, I tried query-fast and it's impressive! It would be great to add Databend as a data source—it's a cost-efficient alternative to Snowflake: https://www.databend.com/
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by BohuTANG 2y ago
Rust is great for building databases because it ensures memory safety, avoids garbage collection, and prevents memory leaks and data races. Databend is a prime example—it's one of the largest database projects written in Rust, with ove
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UUID(v7)(docs.databend.com)
2 points by BohuTANG 2y ago|0 comments
12.
by BohuTANG 2y ago
Yes, reliable data ingestion often involves Kafka, which can feel complex. An alternative is the transactional COPY INTO approach used by platforms like Snowflake and Databend. This command supports "exactly-once" ingestion, ensur
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by BohuTANG 2y ago
Looking forward to adding Databend, the open-source alternative to Snowflake: https://github.com/databendlabs/databend/issues/13059
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by BohuTANG 2y ago
The snowset[1] in the post is quite dated—it’s based on data from February 21 to March 7, 2018, which doesn't reflect current usage trends. Many users find Snowflake too expensive now, especially with the added costs of ETL. With the r
15.
by BohuTANG 2y ago
Check out Databend, an open-source alternative to Snowflake with 90%+ product and syntax similarity (almost no migration cost). It’s cost-effective and powerful. GitHub: https://github.com/datafuselabs/databend/iss
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The Easy Way to Master JSON in SQL: Databend's jq Function(docs.databend.com)
1 points by BohuTANG 2y ago|0 comments
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by BohuTANG 2y ago
UUID v7's timestamp is a game-changer for Databend. We're using it to quickly locate metadata files on AWS S3 by timestamp, making operations like vacuuming much faster. PR: https://github.com/datafuselabs/dat
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by BohuTANG 2y ago
Databend is a cutting-edge alternative to Snowflake, offering cost-effective and straightforward solutions for large-scale analytics. It utilizes a lightweight meta service instead of the resource-intensive FoundationDB and employs OpenRaft
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by BohuTANG 2y ago
Great post! The sandboxing and pluggability of UDFs are key. Databend now supports Python, JavaScript, and WebAssembly to simplify data processing. [1] Embedded UDFs: https://docs.databend.com/guides/query/udf#embe
20.
by BohuTANG 2y ago
Yeah. The insert statement fails when dealing with larger datasets, and the parser incurs significant overhead. The most efficient method is to use the COPY INTO command like in Databend[1] or Snowflake[2] for bulk data loading. [1] Databen
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by BohuTANG 2y ago
Nice work. It's recommended to start with a keyword search (including titles, comments, and the keyword itself) before using an LLM-based search. For example, if I search for 'databend' on https://hackersearch.net&
22.
by BohuTANG 3y ago
Interesting. I use your promot and create a GPT[1], give an example: `I服了you`: 服了u: Correctly translates to "I give up on you." Unscramble: Incorrectly interpreted as "You impress me." - [1] https://chat.opena
23.
by BohuTANG 3y ago
Please don't misunderstand me; I've also implemented tokudb_buffer_pool_size for TokuDB because their control over memory is excellent, not falling into the black hole of the page cache. This allows my DBMS to be stable enough. Th
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by BohuTANG 3y ago
Thank you for the insight. We manage memory directly within the DBMS, for instance, by setting MySQL's innodb_buffer_pool_size to 1GB. This precise control method ensures that each cloud-based DBMS instance on our large EC2 instances r
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by BohuTANG 3y ago
Imagine you're using a EC2 to run several DBMS instances at the same time, each for a different customer. How do you make sure that each instance only uses a certain amount of memory and doesn't affect the others?
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by BohuTANG 3y ago
These articles all miss the point. If you are a DBMS kernel developer, the most urgent need is how to control memory more precisely to prevent out-of-memory (OOM) situations. Clearly, MMAP cannot achieve this, which is also why most databas
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Ask HN: Retrieval-Augmented Generation vs. Fine-Tuning – Which Is the Future?
5 points by BohuTANG 3y ago|2 comments
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TPC-H SF100 Benchmark: Snowflake vs. Databend Cloud(databend.rs)
1 points by BohuTANG 3y ago|0 comments
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by BohuTANG 3y ago
TPC-H Benchmark: Databend Cloud vs. Snowflake: https://docs.databend.com/guides/benchmark/tpch
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by BohuTANG 3y ago
Managing costs with Snowflake's virtual warehouse is more straightforward, allowing you to adjust the warehouse's size and operational status to control expenses. However, optimizing costs for Snowflake's cloud service is mor

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