Скачать или смотреть How to Reduce High CPU Usage in Delphi RIO with Indy TCP Server

Discover simple yet effective solutions to minimize CPU usage in Delphi RIO applications using Indy TCP Server, without compromising performance.
---
This video is based on the question https://stackoverflow.com/q/64593756/ asked by the user 'NamoRamana' ( https://stackoverflow.com/u/4628381/ ) and on the answer https://stackoverflow.com/a/64595615/ provided by the user 'Remy Lebeau' ( https://stackoverflow.com/u/65863/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Delphi RIO - Indy TCPServer high CPU usage

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Tackling High CPU Usage with Delphi RIO and Indy TCP Server

When developing applications, one of the common challenges that developers face is high CPU usage, particularly on servers. This becomes especially pronounced when multiple clients are simultaneously requesting service, leading to resource strain and server sluggishness. Developers using Delphi RIO in conjunction with Indy TCP Server may experience notable CPU spike issues. In this guide, we will explore why this happens and provide effective solutions to reduce the CPU load while maintaining high performance.

Understanding the Problem

The high CPU usage often occurs when an application runs a tight loop due to continuously checking for available data from clients. When two or more clients request files, the server attempts to handle these requests rapidly without adequate pauses, which can lead to CPU utilization reaching the 90s or even higher. This excessive server strain can impede login processes for server management teams and further slow down the entire system.

Why IndySleep() Helps

One common workaround suggested in the developer community is to incorporate the IndySleep() function. By introducing a sleep command, the CPU usage drops from the excessive 90s to around 50-60s. While IndySleep() can throttle processing speed, it provides a necessary respite for the CPU, allowing the server to process client requests without overloading the processor.

However, placing the sleep command in the wrong section of your code can exacerbate issues instead of alleviating them. Let's delve into better practices when using IndySleep() and alternatives that may provide more efficient outcomes.

Optimizing the IdTCPSyncServerExecute Procedure

Here’s a breakdown of how to optimize the server execution procedure to lower CPU usage:

1. Check for Client Data Availability Properly

Instead of looping continuously and exiting on each execution, you should check if the client has sent any data. If there is no data to process, employ a sleep mechanism effectively.

Revised Procedure Example:

[[See Video to Reveal this Text or Code Snippet]]

2. Utilize CheckForDataOnSource()

Instead of relying on static sleep durations, consider using the CheckForDataOnSource() method. This allows the system to poll for data without causing undue strain on the CPU.

Example Code:

[[See Video to Reveal this Text or Code Snippet]]

3. Simplifying Data Reading

In a more streamlined approach, you can let the ReadLn() method block until data is available. By doing this, you eliminate the need for manual checks entirely, which can contribute to reduced CPU strain.

Streamlined Procedure:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Managing CPU usage effectively in Delphi RIO with Indy TCP Server requires careful consideration of how client data is fetched and processed. By employing smarter checks for data availability and eliminating unnecessary tight loops, you can keep CPU usage in check while ensuring the server remains responsive. Utilize the strategies discussed to enhance your application’s performance without compromising the quality of service to clients.

By following these principles, you'll pave the way for a more stable and user-friendly server environment, regardless of client loads.