Step 7 - Challenge: Performance Optimisation and Benchmarking | Step 7 - Performance | Build Your Own Redis Server (Python Edition) | Products | Coding Challenges

Step 7 - Challenge: Performance Optimisation and Benchmarking

Step 7 - Challenge: Performance Optimisation and Benchmarking

In this step your goal is to use the Redis Benchmark tool to test your server’s GET and SET performance.

I suggest you run a Redis server locally and see how that performs, then compare it to your solution.

For example, here’s how Redis performs on my Macbook:

redis-benchmark -t set,get, -n 100000 -q
SET: 110497.24 requests per second, p50=0.215 msec
GET: 117647.05 requests per second, p50=0.215 msec

Refer to the lesson in this step to learn how to optimise the performance of your implementation.

Build Your Own Redis Server (Python Edition)

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Introduction

Introduction

Learn About Redis

Step 0 - Setting Up

Step Goals

Installing Redis

Setting Up Python

Learn To Use Redis, Redis CLI And Redis Benchmark

Create A GitHub Repo For Your Project.1

Step 1 - Introduction to RESP, Building a Protocol Handler Using Test-Driven Development

Introduction to RESP

Introduction to Test Driven Development

Using Test Driven Development to Build a Protocol Handler

Step 1 - Challenge: Protocol Handling

Step 1 - Solution: Protocol Handling5

Step 2 - Creating a Network Client and Server

Introduction To Creating A Network Client And Server4

Serialising the RESP Data Types2

Building a Simple Redis CLI

Testing the CLI Against Redis

Sample Solution for a Simple Redis CLI8

Step 2 - Challenge: Handling PING and ECHO Commands

Building a Simple Server To Handle Incoming Connections

Responding To The PING And ECHO Commands

Step 2 - Solution: Handling PING and ECHO Commands3

Step 3 - Data Structures, Set and Get

Set Up Continuous Integration

Step 3 - Challenge: SET and GET

Adding The Core Data Structure

Handling The Set Command

Handling the Get command

Using the Redis CLI to test Set and Get

Step 3 - Solution: SET and GET4

Step 4 - Handling Concurrency

Step 4 - Challenge: Handling Concurrent Clients1

Threads Versus Async

Making The Data Store Thread-Safe

Handling Concurrent Clients With Threads

Using The Redis CLI And Redis Benchmark To Test Concurrency

Step 4 - Solution: Handling Concurrent Clients With Threads

Step 4 - Async Solution: Handling Concurrent Clients With Async IO2

Step 5 - Implementing Expiry

Introducing The Two Methods Of Expiry

Step 5 - Challenge: Implementing Key Expiry

Updating The Data Store And Set Command Handler Ready For Expiry

Implementing Expire On Read2

Implementing Background Expiry

Step 5 - Solution: Implementing Key Expiry (Common Parts)1

Step 5 - Solution: Implementing Key Expiry Using Threads

Step 5 - Solution: Implementing Key Expiry Asynchronously

Step 6 - Implementing More Commands

Step 6 - Challenge: Adding More Commands2

Impelenting EXISTS and DEL

Implementing INCR and DECR3

Implementing LPUSH, RPUSH And LRANGE2

Step 6 - Solution: Adding More Commands2

Step 7 - Performance

Step 7 - Challenge: Performance Optimisation and Benchmarking

Benchmarking Your Server

How To Optimise For Performance

Performance Tuning The Server3

Step 8 - Persistence

Step 8 - Challenge: Persistence

Persisting The Database

Loading The Database

Step 8 - Solution: Persistence

Closing Remarks

The Complete Final Solution

Going Further

Wrapping Up