fast_page
Blazer
fast_page | Blazer | |
---|---|---|
2 | 17 | |
292 | 4,379 | |
1.0% | - | |
2.9 | 7.2 | |
10 months ago | about 1 month 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.
Blazer
- Blazer: Business Intelligence Made Simple
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Is Tableau Dead?
I try to avoid these tools wherever possible, given the choice I'd always go for tools like Blazer.
https://github.com/ankane/blazer
No such luck in my current role, Looker and PowerBI are both in use by different bits of the org and nobody has the ability to delve into the underlying figures.
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BI vs custom queries in app
As u/jaxn said you could use Blazer for this kind of thing. I would also look into materialized views or custom tables and a scheduled job that calculates the metrics they care about. That will take you a long way. Eventually you can use something like Metabase but I would put that off for as long as possible as it's really expensive and pretty involved.
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Evidence – Business Intelligence as Code
And it's Open Source: https://github.com/evidence-dev/evidence
I'd also highly recommend Blazer https://github.com/ankane/blazer if you are into the Ruby on Rails world. It's super solid, and it's been an indispensable tool integrated to all my projects.
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Italian watchdog bans use of Google Analytics
I use Ahoy too, but I don't have very good visibility into the data. I should spend more time building queries and creating charts. I should probably set up blazer as well: https://github.com/ankane/blazer
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My project: railstart app
blazer
- dashboard framework
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Using Scientist to Refactor Critical Ruby on Rails Code
The Blazer gem provides a nice way to analyze the results easily. It is simple to install and allows SQL queries to run against tables. The query here shows that the candidate implementation is significantly faster than the original.
- A Ruby-Powered Business Intelligence Tool
- Out of the Box CRUD Management Framework
What are some alternatives?
fast-paginate - A fast implementation of offset/limit pagination for Laravel.
Rails DB - Rails Database Viewer and SQL Query Runner
Scenic - Versioned database views for Rails
PgHero - A performance dashboard for Postgres
Redis Dashboard - Sinatra app to monitor Redis servers.
Seed dump - Rails 4/5 task to dump your data to db/seeds.rb
SchemaPlus - SchemaPlus provides a collection of enhancements and extensions to ActiveRecord
Large Hadron Migrator - Online MySQL schema migrations
SecondBase - Seamless second database integration for Rails.
DatabaseValidations - Database validations for ActiveRecord
Upsert - Upsert on MySQL, PostgreSQL, and SQLite3. Transparently creates functions (UDF) for MySQL and PostgreSQL; on SQLite3, uses INSERT OR IGNORE.