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Boost Your Performance with Local Caching

Updated on Jan 02,2024

Boost Your Performance with Local Caching

Table of Contents

  1. Introduction
  2. The Need for Local Execution Workflow
  3. Understanding Test Caching
  4. Common Use Cases of Test Caching
  5. Caching Output in Flight Kit
  6. Determining Cache Keys in Local Execution
  7. Invalidation of Cache in Local Execution
  8. Clearing the Cache
  9. Demo: How Test Caching Works
  10. Working with Complex Data Types in Test Caching
  11. The Local Cache Implementation
  12. Future Improvements and Considerations
  13. Conclusion

Introduction

In this article, we will Delve into the concept of test caching in local execution workflows using Flight Kit. We will explore the need for this feature, its benefits, and how it can enhance your development process. Additionally, we will provide a step-by-step guide on implementing test caching using practical examples. So, let's dive in!

The Need for Local Execution Workflow

The process of developing and testing workflows can be time-consuming, especially when working with complex logic and large datasets. Flight Kit offers a local execution workflow that allows developers to test their code locally before deploying it remotely. This feature significantly reduces development time and allows for rapid iterations.

Understanding Test Caching

Test caching is a powerful feature in Flight Kit that enables the caching of task results during local execution. It allows developers to avoid re-executing tasks whose results remain unchanged. This is particularly beneficial when iterating on workflows or when multiple workflows share a common task.

Caching the output of tasks can greatly improve the speed and efficiency of your workflow execution. Rather than waiting for time-consuming tasks to run repeatedly, you can simply fetch the cached result, saving valuable time and resources.

Common Use Cases of Test Caching

There are several scenarios in which test caching can be particularly useful:

  1. Iterative Workflow Development: When You are iterating on a workflow and executing it multiple times, you can avoid waiting for the result of a test that is either idempotent or can be cached.

  2. Shared Tasks: If you have a task that is shared across multiple workflows, caching its result can eliminate redundant computations and optimize the overall execution time.

  3. Workflow Debugging: During the iteration phase, when you are debugging a workflow, caching a portion of the workflow can save time and enable faster iterations.

Caching Output in Flight Kit

To enable caching for a specific task in Flight Kit, you need to use the task decorator and specify the cache version. Here's an example:

@task(cache=True, cache_version="1.0")
def square(x: int) -> int:
    return x * x

In this example, the square function is marked as cachable and assigned a cache version of "1.0". The cache version is an arbitrary STRING used to identify changes in the task definition. It's important to note that the cache version should be updated only if the task's behavior or signature changes.

Determining Cache Keys in Local Execution

The cache keys in Flight Kit's local execution are determined Based on specific criteria. The cache key is calculated by considering the cache version, task signature (inputs and outputs), the name of the task, and the actual inputs to the task.

This ensures that the cache effectively stores the result of a task based on its unique characteristics. It prevents caching incorrect results when different inputs are provided to the task.

Invalidation of Cache in Local Execution

In the local execution of Flight Kit, you have the ability to invalidate caches or cache keys using the flight local cache clear command. Unlike remote execution, which requires changing the version or modifying the function's signature, local cache provides a simple way to clear the cache and start fresh.

Clearing the Cache

To clear the cache in Flight Kit's local execution, you can use the following command:

flight local cache clear

Running this command empties the cache, allowing you to start with a clean slate for your next execution.

Demo: How Test Caching Works

Let's dive into a quick demo to see test caching in action. We'll showcase the caching behavior of a simple workflow. First, we define a workflow with a task called t1. The t1 task is marked as cacheable with a cache version of "0.1". It performs a long computation and returns the sum of two integers.

When we run this workflow locally, we can observe the caching behavior. The first execution takes time to compute the result, but subsequent executions return immediately, indicating a cache hit. Changing the cache version invalidates the cache, and the workflow executes the task again.

Working with Complex Data Types in Test Caching

Flight Kit's test caching is not restricted to caching primitive data types. You can cache the results of tasks that return complex data types such as Flight files or data classes. This flexibility allows for more versatile caching strategies that cater to diverse use cases.

The Local Cache Implementation

The local cache in Flight Kit is implemented using a SQLite database as the backing store. Each cached entry in the cache table consists of a cache key, task signature, and the cached value. The local cache provides a way to inspect the cache Contents and offers potential extensions for more advanced functionalities.

Future Improvements and Considerations

As Flight Kit continues to evolve, there is a possibility for further enhancements to the local cache feature. This may include improved performance, additional inspection options, and better integration with Flight IDL. The community's feedback and suggestions play a vital role in shaping the future direction of Flight Kit's local cache.

Conclusion

Test caching in local execution workflows provides a powerful tool for optimizing development and testing processes. Flight Kit's local cache feature enables the caching of task results during local execution, enhancing speed and efficiency. By leveraging test caching, developers can iterate faster, reduce redundancy, and streamline workflow development. Experiment with test caching in Flight Kit and experience the benefits of this essential feature.

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