Large Hadron Migrator
Blazer
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| Large Hadron Migrator | Blazer | |
|---|---|---|
| 3 | 12 | |
| 1,759 | 3,337 | |
| 0.5% | - | |
| 0.0 | 8.9 | |
| over 2 years ago | 6 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 There is https://github.com/soundcloud/lhm but it's pretty much outdated nowadays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
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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
- Oldie question - latest tools?
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How to let users run scripts on their data?
There is nothing wrong with it. In Ruby on Rails, for example, you can use a gem for such a case https://github.com/ankane/blazer
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Cookie-based tracking is dead
I did server-side tracking test in a rails app, where I implemented a tracking gem called ahoy and blazer for visualization. It is very easy to set up, but a bit hard to use. Blazer can do a very basic visualization of the data if you know your SQL queries.
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Keeping the Stakes Low while Breaking Production
We then pasted that into Blazer and started looking at the SQL. As we moved around the massive SQL statement, we saw the culprit. A very narrow range for allowed article’s publication dates.
What are some alternatives?
Rails DB - Rails Database Viewer and SQL Query Runner
PgHero - A performance dashboard for Postgres
SecondBase - Seamless second database integration for Rails.
Redis Dashboard - Sinatra app to monitor Redis servers.
SchemaPlus - SchemaPlus provides a collection of enhancements and extensions to ActiveRecord
Upsert - Upsert on MySQL, PostgreSQL, and SQLite3. Transparently creates functions (UDF) for MySQL and PostgreSQL; on SQLite3, uses INSERT OR IGNORE.
Squasher - Squasher - squash your old migrations in a single command
Ahoy - Simple, powerful, first-party analytics for Rails
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.
BatchLoader - :zap: Powerful tool for avoiding N+1 DB or HTTP queries
Foreigner - Adds foreign key helpers to migrations and correctly dumps foreign keys to schema.rb