ethegwo

7 ms·

61.
by ethegwo 2y ago
Yes, you're right. It's not entirely similar, it's not IO-less. But in async Rust (or any other stackless coroutine runtimes), IO should be bound to the scheduler. This allows IO events callback scheduler and wake the task it
62.
by ethegwo 2y ago
Good job! Exposing state could make any async function 'pure'. All the user needs to do is push the state machine to the next state. I have tried to bind OpenSSL to async Rust before, its async API follows a similar design.
63.
by ethegwo 2y ago
A Python version about core features of the Hindley-Milner type inferencer: https://github.com/ethe/typer
64.
by ethegwo 2y ago
> You don't store your binary, your database or your logs in object storages. I think the answer may be "yes", there are lots of database try to store binary data into S3 via parquet format in the current.
65.
by ethegwo 2y ago
In server development domain, object storage has become a widely accepted API and storage form. I'm curious why the PC domain hasn't entered the stage of object storage + label-based searching.
66.
by ethegwo 2y ago
It reminds me of the operations related to organizing restaurant tables and grilling shrimp in the imitation learning-based project Mobile Aloha( https://mobile-aloha.github.io/ ).
67.
by ethegwo 2y ago
If you have to switch from several contexts, I think it might be helpful. Keeping focus on a single task does not need Todos indeed.
68.
by ethegwo 3y ago
Yes, I agree with you, governance is always more efficient than post-processing. But if humans are always diligent in data governance, we do not need the idea about "data lake"...
69.
by ethegwo 3y ago
Datetimes can come in thousands of formats, I think rule based tools would have a hard time detecting unknown formats perfectly. AI could be a potentially better way to parse datetimes, maybe not LLM though, what are your thoughts on this?
70.
Show HN: Pygraphy – A modern pythonic GraphQL implementation(pygraphy.org)
4 points by ethegwo 3y ago|0 comments
71.
by ethegwo 3y ago
In principle I agree with you, but I just wang to explore how to cluster and extract logs automated. In current we have text embedding model and large language model, it is really good at text clustering and summarization. Maybe it brings p
72.
Structured Logs Are Useful, And GPT Make It Easier(ethe.github.io)
4 points by ethegwo 3y ago|6 comments
73.
by ethegwo 3y ago
I select duckdb to collect logs as a table. I think duckdb is a good solution of query and persistent storage to pandas, it interacts well with pandas.
74.
Show HN: log2row - a tool that detects, extracts templates, and structures logs(github.com)
5 points by ethegwo 3y ago|3 comments