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max-sixty
prql
Rust2022–2022
max-sixty / prql

prql

PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement

2Distinct people
7Mentions
0Explicit recommenders
47GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day7 dated mentions

Observed mentions: 2022-01-24 17:24:54 UTC to 2022-02-01 22:46:26 UTC.

02462022-01-24 00:00:00 UTC to 2022-01-25 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 commentsJan 242022-01-25 00:00:00 UTC to 2022-01-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-26 00:00:00 UTC to 2022-01-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-27 00:00:00 UTC to 2022-01-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-28 00:00:00 UTC to 2022-01-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 282022-01-29 00:00:00 UTC to 2022-01-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-30 00:00:00 UTC to 2022-01-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-31 00:00:00 UTC to 2022-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-02-01 00:00:00 UTC to 2022-02-02 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 1

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 242022-01-24 00:00:00 UTC2022-01-25 00:00:00 UTC615
Jan 252022-01-25 00:00:00 UTC2022-01-26 00:00:00 UTC000
Jan 262022-01-26 00:00:00 UTC2022-01-27 00:00:00 UTC000
Jan 272022-01-27 00:00:00 UTC2022-01-28 00:00:00 UTC000
Jan 282022-01-28 00:00:00 UTC2022-01-29 00:00:00 UTC000
Jan 292022-01-29 00:00:00 UTC2022-01-30 00:00:00 UTC000
Jan 302022-01-30 00:00:00 UTC2022-01-31 00:00:00 UTC000
Jan 312022-01-31 00:00:00 UTC2022-02-01 00:00:00 UTC000
Feb 12022-02-01 00:00:00 UTC2022-02-02 00:00:00 UTC101

What Hacker News says

7 sources
Great questions! I'm not a database expert either but I can try answering these: 1) I think databases like to manage pages directly because the db can make more optimizations than the OS because the db has more context. For example, when aborting a transaction the db knows its dirty pages should be evicted (i'm not sure if mmap offers custom eviction). Also I believe if the db uses mmap, it loses control over when pages are flushed to disk. Flush control is necessary for guaranteeing transaction durability. 2) What you're describing here sounds similar to a LSM-tree database (e.g. RocksDB). They are used often for write-heavy workloads because writes are just appends, but they might not be great for read-heavy things. 3) This reminds me of PRQL[1] (which was trending on Hacker News last week) and Spark SQL. I'm not too familiar with this
Read the rest
area though, so I can't really say why SQL was designed this way. [1] https://github.com/max-sixty/prql?utm_source=hackernewslette...
In SimpleDB: A Basic RDBMS Built from Scratch

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