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elixir-ecto
ecto
Elixir2013–2026
elixir-ecto / ecto

ecto

A toolkit for data mapping and language integrated query.

33Distinct people
34Mentions
0Explicit recommenders
6.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A toolkit for data mapping and language integrated query.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 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 year34 dated mentions

Observed mentions: 2013-12-06 23:17:39 UTC to 2026-08-05 21:15:38 UTC.

02462013-01-01 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): 4 mentions; 0 submissions, 4 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 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): 3 mentions; 0 submissions, 3 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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
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 UTC404
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC303
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC615
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
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 UTC303
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC303
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC312
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC202

What Hacker News says

3 sources
Long ago I liked ActiveRecord(AR), then I worked at a company that did large aggregations in SQL and found it to be severely limited in working with complex queries which use many JOIN statement and sub-queries. During that time I came to enjoy working with the Sequel[0] gem, and its fantastic documentation. Now, after working with Ecto[1] in Elixir, I've found that the ROM[2] builder pattern is a better approach to abstracting SQL and mapping the results to Ruby objects. It's much cleaner and more maintainable than a long mess of AR queries. Ryan Bigg wrote a great book about breaking away from AR in Rails called Exploding Rails[3]. It's a good read. [0] http://sequel.jeremyevans.net/ [1] https://github.com/elixir-ecto/ecto [2] https://rom-rb.org/5.0/learn/introduction/active-record/ [3] https://leanpub.com/explodingrails
In Choosing Ruby on Rails for web development project in 2019
So don't map DB records to objects, then. DB records are records, and their proper typing in your business logic is as records—chunks of plain old data, strongly-typed, that your (OO or otherwise) code can declare DB-side interfaces against. The only responsibilities of the module/class that owns the record type, should be getting things converted into and out of that record type. Plain-old-data DB record types (and their respective owner modules) are to ORMs, as code-gen'ed wire record types (and their respective owner modules) are to ProtoBuf-like wire-format codec libraries. They're the containers you put data into and take it out of, to ensure it's in the right types when being sent to, or received from, your DB. No more than that. And, corollary to this idea: the POD record-type MyDB.FooTable shouldn't be taken as a type to use to st
Read the rest
uff in the results from any random query you run against the DB table `foo`. It should be taken to represent the specific row type that the DB table `foo` has—the one you get when you `SELECT * from foo`. If you do an SQL query, and the result of that SQL query has fewer or extra or differently-typed columns, then the resulting row-set will have a different record type, and so you should have a separate POD data-type that does match these records. (Example: if you join two tables with a query, you don't need the ORM to spit out two records objects with a fancy OO-style relationship between them; you just need one record type that represents the resulting joined rows, without any particular idea that it happens to be an amalgamation of data from two tables.) For an example of this approach to ORM, see Elixir's https://github.com/elixir-ecto/ecto.
In To ORM or Not to ORM
Interesting approach! I've been contemplating a similar query DSL for compressed time-series data on embedded devices. It's easier to make a specialized language than commonly thought. Though generally the trickiest part is creating appropriate tooling for things like source maps, debugging, etc. It surprises me that the author used Elixir for implementation but didn't just write a query DSL utilizing the Elixir macro facilities [0]. A macro based DSL likely would be much simpler than writing a new grammar and builds on existing language tooling. Ecto for example does a great job (IMHO) of making a sane DSL for SQL [1]. Given data processing primitives provided by Elixir libraries like Streams and GenStage [2] it seems it'd be pretty straightforward to implement. Take for example the "segmented query path expression". It is handled fine w
Read the rest
ith a minor modification as an Elixir quoted statement: `quote do: @query_path//foo/goo[instance='a2']/blah/x[a='S 512']/y` That yields a well defined AST tree base on the Elixir syntax: ``` {:@, [context: Elixir, import: Kernel], [ {:path, [context: Elixir], [ {:/, [context: Elixir, import: Kernel], [ ... ``` The closures work as well by switching the dollar signs to ampersands: `quote do: select(@path/foo/&x/&goo/z/y/w, { value(&1) < 3 })` Makes me want to write an Ecto adapter for dealing with Elixir Streams. =) 0: https://hackernoon.com/understanding-elixir-macros-3464e1414... 1: https://github.com/elixir-ecto/ecto 2: https://hexdocs.pm/gen_stage/GenStage.html
In A Case for a New Language

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