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rails
arel
Ruby2010–2017
rails / arel

arel

A Relational Algebra

12Distinct people
13Mentions
0Explicit recommenders
2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A Relational Algebra

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

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 8:27:21 AM 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 year13 dated mentions

Observed mentions: 2010-01-27 03:55:17 UTC to 2017-08-09 20:42:09 UTC.

012342010-01-01 00:00:00 UTC to 2011-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments20102011-01-01 00:00:00 UTC to 2012-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2017

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
20102010-01-01 00:00:00 UTC2011-01-01 00:00:00 UTC413
20112011-01-01 00:00:00 UTC2012-01-01 00:00:00 UTC000
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC101
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC101
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC303
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC211

What Hacker News says

3 sources
> The main problem with raw SQL is that what you really want is a genuine programming language. You almost want programmatic access to the SQL AST, so you can generate syntax as opposed to concatenate strings together. Kind of like a DOM API, but for SQL. Congratulations, you just described Arel. I liberally use rails/active_record where it shines (operating on a single record, or writing composable scopes) but very often find myself leveraging Arel (accessible via YourModel.arel_table) to generate a carefully crafted SQL AST. At my current job we have two gems leveraging this power: "Massive Record", allowing one to perform bulk operations (insert, upsert) on huge lists of records in an efficient way (instantiating hashes instead of full-blown ActiveRecord instances), and "Chains", which allows one to handle authorization at a per-entity
Read the rest
or per-record level with a iptables-like system. There is no way the generated queries could be sanely written by hand, nor as concatenated strings. Arel allows us to build highly dynamic queries while still tuning for performance. Database independence comes as a bonus, and we can easily extend Arel with more nodes, possibly some database specific ones that get selectively added depending on the configured database. Arel also allows us to write clean and efficient database migrations, where we basically use your typical ActiveRecord faux models merely for datatable reflection to obtain column names and types. [0]: https://github.com/rails/arel
In What ORMs have taught me: just learn SQL
>With a low level abstraction layer, I can do stuff like already_complicated_query.filter(another_param==5). Or I can write a function that does get_world_trade_aggregate(country="USA", aggregate="average") and it'll generate the right query for me. But then that's not even all, if I have to modify or filter that query further in some other part of the code, in some unexpected way totally doable. It's less often that I have to write a whole new function or duplicate code. If you're working in Ruby, there's also Arel[1]. I have my complaints, but it seems to be the exact same thing: Composable, programmatic access to SQL from your application code. [1] https://github.com/rails/arel
In What ORMs have taught me: just learn SQL

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