fast_page
Scenic
fast_page | Scenic | |
---|---|---|
2 | 8 | |
295 | 3,341 | |
1.0% | 0.6% | |
2.9 | 5.8 | |
10 months ago | 28 days ago | |
Ruby | Ruby | |
Apache License 2.0 | MIT License |
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fast_page
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We switched to cursor-based pagination
There are ways to mitigate the (although not eliminate) the slowing down of offset/limit pagination in later pages. The technique is called a "deferred join" and it is most effective in MySQL. The basic idea is to paginate as little data as necessary, and then do a self-join to get the rest of the data for a single page.
You can read more about it here: https://aaronfrancis.com/2022/efficient-pagination-using-def... or here https://planetscale.com/blog/fastpage-faster-offset-paginati....
There are libraries for Laravel (https://github.com/hammerstonedev/fast-paginate) and Rails (https://github.com/planetscale/fast_page) as well!
Cursor based pagination is wonderful, but sometimes you're stuck with offset/limit for whatever reason. Might as well make it fast.
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Faster offset pagination for Rails apps
In both Django and Rails, passing a QuerySet or ActiveRecord::Relation as an argument to a filter/where creates a subquery - in this case, https://github.com/planetscale/fast_page/blob/main/lib/fast_... creates SELECT ... WHERE id IN (SELECT id FROM ...).
So it's not exactly an inner join, but in theory it will be optimized to the same query plan as an inner join. That said, https://stackoverflow.com/questions/2577174/join-vs-sub-quer... has lots of commentary on why this shouldn't be depended on.
Scenic
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Database Views & Rails Active Record: defining new Model classes out of views
To model our Deliverable class, we will need a view. We will use the popular scenic gem, which provides some useful generators for creating views with their respective migrations, and utilities to handle views versioning.
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Materialised views for serious performance gains
+1 for scenic - https://github.com/scenic-views/scenic
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Most performant way to build an analytics dashboard from a relational database backend that only stores numeric values, where the data the end-user sees is "categorized" into numeric brackets (e.g. 60-79 = Med, 80-100 = High, etc)
If the data doesn't need to be close to real-time, and if your DB can handle a bit of load, I'd use a "batch" approach. To do this, I'd create a materialized view in your relational DB that you'd then refresh periodically. The easiest way to do this is with the `scenic` gem. Once you've done this, you can simply create a new model and set the `table_name` to the name of the materialized view, and then treat it as a regular model.
- Utilizando views SQL no Ruby on Rails
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Frameworks for SQL Development in Rails?
I use the scenic gem to manage views which uses raw sql files: https://github.com/scenic-views/scenic
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Rails application boilerplate for fast MVP development
add scenic
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Logidze 1.0, postgres-specific alternative to eg paper_trail for recording ActiveRecord change history
TIL about fx gem for storing triggers in schema.rb. That makes me so happy because scenic gem for creating database views is one of my favorites. Postgres is very powerful and it's great to see tools for exposing that through Rails.
What are some alternatives?
fast-paginate - A fast implementation of offset/limit pagination for Laravel.
Lol DBA - lol_dba is a small package of rake tasks that scan your application models and displays a list of columns that probably should be indexed. Also, it can generate .sql migration scripts.
PgHero - A performance dashboard for Postgres
Seed dump - Rails 4/5 task to dump your data to db/seeds.rb
SecondBase - Seamless second database integration for Rails.
Large Hadron Migrator - Online MySQL schema migrations
Polo - Polo travels through your database and creates sample snapshots so you can work with real world data in development.
DatabaseValidations - Database validations for ActiveRecord
SchemaPlus - SchemaPlus provides a collection of enhancements and extensions to ActiveRecord
Blazer - Business intelligence made simple
Ruby PG Extras - Ruby PostgreSQL database performance insights. Locks, index usage, buffer cache hit ratios, vacuum stats and more.