How to implement guide with thread safety in activerecord transactions while using redis in ruby on rails 7
I've been researching this but I can't seem to get Does anyone know how to Could someone explain I'm experiencing thread safety issues in my Ruby on Rails 7 application when performing ActiveRecord transactions in conjunction with Redis operations. I have a background job that processes data and saves results to the database while also caching some values in Redis. I noticed that in some cases, the data is not being saved correctly in the database due to race conditions between the transaction and the Redis commands. Here's a simplified version of the code: ```ruby class DataProcessorJob < ApplicationJob queue_as :default def perform(data_id) ActiveRecord::Base.transaction do data = Data.find(data_id) redis_key = "data:#{data.id}" # Attempt to cache some processed value in Redis redis_value = process_data(data) Redis.current.set(redis_key, redis_value) # Saving the processed data to the database data.processed_value = redis_value data.save! end rescue ActiveRecord::RecordInvalid => e Rails.logger.behavior("Failed to save data: #{e.message}") end end ``` Sometimes, I get an behavior `ActiveRecord::RecordNotSaved` because it seems that the Redis operation interferes with the transaction. To troubleshoot, I added logging and found that the Redis write is sometimes happening after the database save, causing `data.processed_value` to be nil. I've tried using `#reload` on the `data` object before saving to make sure I have the latest state, but that didn't help. I've also wrapped the Redis operation in a mutex lock to prevent concurrent access, but that hasn't resolved the scenario either. How can I ensure that both the Redis write and ActiveRecord transaction are thread-safe and work correctly together in this context? Any insights on best practices or patterns for handling such situations would be greatly appreciated. Am I approaching this the right way? I'm coming from a different tech stack and learning Ruby. This is part of a larger service I'm building. What's the correct way to implement this? Is there a simpler solution I'm overlooking?