roncohen
Joined 15 years ago
Karma
506
Submissions
87
Member since
Oct 7
Hacker by day... and also by night.
View on Hacker NewsRecent submissions
Comment · 11 months ago
As someone who myself worked on a hobby-level Rust based Kafka alternative that used Raft for metadata coordination for ~8 months: nice work!
Wasn't immediately clear to me if the data-plane level replication also happens through Raft or something home-rolled? Getting consistency and reliability right with something home-rolled is challenging.
Notes:
- Would love to see it in an S3-backed mode, either entirely diskless like WarpStream or as tiered storage.
- Love the simplified API. If possible, adding a Kafka compatible API interface is probably worth it to connect to the broader ecosystem.
Best of luck!
Comment · 1 year ago
Trunk-based development works.
In fact I suspect most people working in SaaS are doing some kind of Trunk-based development - some unknowingly.
There are tons of misconceptions about _what it is_. I wrote a blog post on common misconceptions about trunk-based development here: https://bucket.co/blog/trunk-based-development-crock-of-shit
Comment · 1 year ago
Agreed! It’s apparently a divisive topic.
Comment · 1 year ago
It’s in the post :)
> In practice, many teams will use a pull request-based workflow because the tests could be too complicated to run locally or need to facilitate code reviews. For trunk-based development to fulfill its promise, it’s imperative that pull requests are kept small and that the team is committed to reviewing them quickly.
Comment · 3 years ago
June is cool. Best of luck!
Would you consider adopting the STARS framework[1] ? It was designed to solve the questions you mentioned like “Are our key customers adopting the new feature we launched?” but at the same time it also incorporates qualitative feedback.
[1] http://starsframework.org/
Full disclosure: I helped design it.
Comment · 4 years ago
Lots of great additions. I will just highlight two:
Column selection:
When you have tons of columns these become useful. Clickhouse takes it to the next level and supports APPLY and COLUMN in addition to EXCEPT, REPLACE which DuckDB supports:
- APPLY: apply a function to a set of columns
- COLUMN: select columns by matching a regular expression (!)
Allow trailing commas:
I can't count how many times I've run into a problem with a trailing comma. There's a whole convention developed to overcome this: the prefix comma convention where you'd write:
SELECT
first_column
,second_column
,third_column
Comment · 5 years ago
Couple of gripes:
- Still no date type
- Why make it more loose? Like "Strings may be single quoted." doesn't bring any value.