Large Hadron Migrator
Blazer
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Large Hadron Migrator | Blazer | |
---|---|---|
3 | 17 | |
1,816 | 4,367 | |
0.5% | - | |
0.0 | 7.4 | |
8 months ago | 30 days ago | |
Ruby | Ruby | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Large Hadron Migrator
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GitHub downtime root cause analysis
No you didn't. They're doing what is often referred as "online schema change" using https://github.com/github/gh-ost (but the concept is the same than percona's pt-online-schema-change, or https://github.com/soundcloud/lhm.
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Database... or Goose?
Is there anything similar for MySQL? There is https://github.com/soundcloud/lhm but it's pretty much outdated nowadays
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Do you use migrations for data manipulations? What are the pro's and con's ?
I may do it from the console or a task if I wanted to modify a large number of records, e.g. something in my Users table. I think you need a sense of how long the update will take - I'm not sure if there's any issue with migrations timing out or such like. If I modify my Users schema it takes 5 minutes or so as it has to make a copy of the table and swap it in and that works fine - https://github.com/soundcloud/lhm
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?
Squasher - Squasher - squash your old migrations in a single command
Rails DB - Rails Database Viewer and SQL Query Runner
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
Foreigner - Adds foreign key helpers to migrations and correctly dumps foreign keys to schema.rb
Redis Dashboard - Sinatra app to monitor Redis servers.
BatchLoader - :zap: Powerful tool for avoiding N+1 DB or HTTP queries
SchemaPlus - SchemaPlus provides a collection of enhancements and extensions to ActiveRecord
SecondBase - Seamless second database integration for Rails.
Seedbank - Seedbank gives your seed data a little structure. Create seeds for each environment, share seeds between environments and specify dependencies to load your seeds in order. All nicely integrated with simple rake tasks.
Upsert - Upsert on MySQL, PostgreSQL, and SQLite3. Transparently creates functions (UDF) for MySQL and PostgreSQL; on SQLite3, uses INSERT OR IGNORE.