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dflemstr
rq
Rust2016–2022
dflemstr / rq

rq

Record Query - A tool for doing record analysis and transformation

20Distinct people
25Mentions
0Explicit recommenders
2.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Record Query - A tool for doing record analysis and transformation

GitHub

Where it is used

No documented product use was verified in the last source check.

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:49:33 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 year25 dated mentions

Observed mentions: 2016-08-31 17:16:08 UTC to 2022-11-03 08:48:10 UTC.

024682016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 6 mentions; 2 submissions, 4 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 8 mentions; 1 submissions, 7 comments2022

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
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC624
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC312
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC303
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC817

From the project README

An excerpt from the repository, fetched Nov 13, 2026.

Read the project’s introduction
rq NOTE: rq is in very low maintenance mode as my day job is taking up a lot of my time. I will try my best to merge pull requests but will not drive active development of this crate. NOTE: rq no longer ships with query support and a Javascript engine is not included; instead, it focuses exclusively on format transformation. You can still pipe into a runtime like node.js if you need Javascript evaluation. Please see this issue to discuss introducing a new query language. This is the home of the tool called rq (record query). It's a tool that's used for performing queries on streams of records in various formats. The goal is to make ad-hoc exploration of data sets easy without having to use more heavy-weight tools like SQL/MapReduce/custom programs. rq fills a similar niche as tools like awk or sed, but works with structured (record) data instead of text. It was created with love out of the best parts of Rust, and is distributed as a dependency-free binary on many operating systems and architectures. Quick links Installation — How to install rq. Tutorial — Learn rq from scratch. Protobuf — Configure Protobuf specifics. Development — Contribute to rq. Format support status Format Read Write Apache Avro ✔️ ✔️ CBOR ✔️ ✔️ JSON ✔️ ✔️ MessagePack ✔️ ✔️ Google Protocol Buffers ✔️ ✖️ YAML ✔️ ✔️ TOML ✔️ ✔️ Raw (plain text) ✔️ ✔️ CSV ✔️ ✔️
Read the full README on GitHub

What Hacker News says

3 sources
This is a really slick little utility! I'll definitely be adding it to my data munging grab bag. For those that deal with this sort of thing often, here are some similarly useful tools: ⠀ Really useful for generating table definitions and/or importing data from a csv to a variety of databases (bunch of other useful utilities in the repo as well): https://csvkit.readthedocs.io/en/latest/scripts/csvsql.html Similar to cq for querying a CSV file directly: http://harelba.github.io/q/ Not used often, but really handy when you come across a csv file it's designed for: http://colin.maudry.com/csvtool-manual-page/ Diff csv files: http://paulfitz.github.io/daff/ Can convert flatfiles between a bunch of different formats. Useful blunt tool to get things to and from csv files (among others): https://github.com/dflemstr/rq And for searching JSON: jq:
Read the rest
https://stedolan.github.io/jq/ gron: https://github.com/tomnomnom/gron Or use in2csv from csvkit or rq to get the JSON over to CSV and go from there.
In Show HN: cq – Query CSVs using SQL

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