Concurrent Data Processing in Elxir by The Pragmatic Programmer-01.png

myDokcer.tar.gz

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ch_5.1 RabbitMQ

Ch_5.2 RabbitMQ

Most engineers don’t think that concurrency is distinct from programming. Data processing includes transforming information in some way, like reporting, data aggregation, or analytics. On the other hand, concurrency involves significantly improving performance.

This course is designed to help you navigate the world of concurrency tools available in the Elixir ecosystem. You’ll explore popular modules and libraries like GenServer, GenStage, Flow, and Broadway. You’ll be able to ingest data, set up pipelines, and run concurrent processes with Elixir.

By the end of the course, you’ll have a wide range of new techniques to simplify your product, improve code performance, and make your application more resilient to increased workloads.

Concurrent Data Processing in Elixir

## Limit the concurrency of import jobs

We now put our new `running_imports/0` to use. Let’s add this check to `Jobber.start_job/1`:

# Limit the concurrency of import jobs

We now put our new `running_imports/0` to use. Let’s add this check to `Jobber.start_job/1`:

Learn to limit the number of jobs we can run concurrently and examine the count_children function of their supervisor.

Getting Started

Easy Concurrency with the Task Module

Long-Running Processes Using GenServer

Data Processing Pipelines with GenStage

Process Collections with Flow

Data Ingestion Pipelines with Broadway

Concluding the Course

Limit Concurrency and Inspect the Supervisors

Limit the concurrency of import jobs