Docker Compose Encounters Timeout During Startup
When executing docker-compose up in Jenkins agents, users may encounter a timeout error due to the UnixHTTPConnectionPool. The error message signifies that an HTTP request took too long to complete, leading to a connection timeout.
Possible Causes
The exact cause of this timeout remains unclear. However, it has been observed sporadically when performing extensive setup operations involving multiple docker-compose services. Some speculate a correlation with high resource utilization on the agent.
Workarounds
Until a permanent solution emerges, two workarounds have been identified:
- Restart Docker Service: Restarting the docker service using sudo systemctl restart docker can resolve the issue.
- Set Timeout Variables: Setting the environment variables DOCKER_CLIENT_TIMEOUT and COMPOSE_HTTP_TIMEOUT to a higher value (e.g., 120) can provide a more extended timeout period. Use the commands export DOCKER_CLIENT_TIMEOUT=120 and export COMPOSE_HTTP_TIMEOUT=120 to implement this workaround.
Related Issues
Other users have reported similar issues in the following GitHub repositories:
- https://github.com/docker/compose/issues/3927
- https://github.com/docker/compose/issues/4486
- https://github.com/docker/compose/issues/3834
The above is the detailed content of Why Does Docker Compose Timeout During Startup in Jenkins Agents?. For more information, please follow other related articles on the PHP Chinese website!

Golangisidealforperformance-criticalapplicationsandconcurrentprogramming,whilePythonexcelsindatascience,rapidprototyping,andversatility.1)Forhigh-performanceneeds,chooseGolangduetoitsefficiencyandconcurrencyfeatures.2)Fordata-drivenprojects,Pythonisp

Golang achieves efficient concurrency through goroutine and channel: 1.goroutine is a lightweight thread, started with the go keyword; 2.channel is used for secure communication between goroutines to avoid race conditions; 3. The usage example shows basic and advanced usage; 4. Common errors include deadlocks and data competition, which can be detected by gorun-race; 5. Performance optimization suggests reducing the use of channel, reasonably setting the number of goroutines, and using sync.Pool to manage memory.

Golang is more suitable for system programming and high concurrency applications, while Python is more suitable for data science and rapid development. 1) Golang is developed by Google, statically typing, emphasizing simplicity and efficiency, and is suitable for high concurrency scenarios. 2) Python is created by Guidovan Rossum, dynamically typed, concise syntax, wide application, suitable for beginners and data processing.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Go language has unique advantages in concurrent programming, performance, learning curve, etc.: 1. Concurrent programming is realized through goroutine and channel, which is lightweight and efficient. 2. The compilation speed is fast and the operation performance is close to that of C language. 3. The grammar is concise, the learning curve is smooth, and the ecosystem is rich.

The main differences between Golang and Python are concurrency models, type systems, performance and execution speed. 1. Golang uses the CSP model, which is suitable for high concurrent tasks; Python relies on multi-threading and GIL, which is suitable for I/O-intensive tasks. 2. Golang is a static type, and Python is a dynamic type. 3. Golang compiled language execution speed is fast, and Python interpreted language development is fast.

Golang is usually slower than C, but Golang has more advantages in concurrent programming and development efficiency: 1) Golang's garbage collection and concurrency model makes it perform well in high concurrency scenarios; 2) C obtains higher performance through manual memory management and hardware optimization, but has higher development complexity.

Golang is widely used in cloud computing and DevOps, and its advantages lie in simplicity, efficiency and concurrent programming capabilities. 1) In cloud computing, Golang efficiently handles concurrent requests through goroutine and channel mechanisms. 2) In DevOps, Golang's fast compilation and cross-platform features make it the first choice for automation tools.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Linux new version
SublimeText3 Linux latest version

SublimeText3 Chinese version
Chinese version, very easy to use

Atom editor mac version download
The most popular open source editor

SublimeText3 Mac version
God-level code editing software (SublimeText3)