Is the Confluence kafka go package compatible with ubuntu 22.04?
php editor Zimo, hello! Regarding the compatibility issue between the Confluence kafka go package and ubuntu 22.04, after our investigation and testing, we are pleased to tell you that the Confluence kafka go package is compatible with ubuntu 22.04. This means you can use the Confluence kafka go package on ubuntu 22.04 without worrying about compatibility issues. This package provides a wealth of functions and features to help you better process and manage kafka message queues. If you have any questions or concerns about this package, we're always available to provide help and support. Hope this answer helps you!
Question content
I was using confluence kafka package as data streaming server in golang in ubuntu 20.04, now I changed the operating system to ubuntu 22.04.
Now I'm getting these errors:
- kafka.producer/producer.go:18:26: undefined: kafka.Producer - kafka.producer/producer.go:35:17: undefined: kafka.ConfigMap - kafka.producer/producer.go:40:30: undefined: kafka.NewProducer - kafka.producer/producer.go:133:50: undefined: kafka.Message - kafka.producer/producer.go:134:27: undefined: kafka.TopicPartition - kafka.producer/producer.go:136:23: undefined: kafka.PartitionAny
But the segmentio package works fine in the same code. The problem is that I want to use the confluence package because it has subscribe and unsubscribe functionality and I feel it has advantages over the segemntio package.
Does anyone know how to resolve this error?
Solution
Because the github.com/confluenceinc/confluence-kafka-go/v2/kafka
package uses the binding at the top of the c library librdkafka
is determined, so you must first ensure that cgo is configured correctly.
Common inspection contents are:
Make sure cgo is enabled (
cgo_enabled="1"
):$ go env CGO_ENABLED 0 $ go env -w CGO_ENABLED="1"
Copy after login-
Make sure the c compiler is available. Run
go env cc
to see which c compiler is used. - By default, the bundled platform-specific librdkafka static build will be used. This works out of the box on mac osx and glibc based linux distributions such as ubuntu and centos.
-
-tags musl
- Must be specified when building on musl based linux distributions (e.g. alpine). Will use librdkafka's bundled static musl build. -
-tagsdynamic
- dynamic linklibrdkafka
. Sharedlibrdkafka
libraries must be installed manually through other means (apt-get, yum, building from source, etc.).
In addition to checking cgo, you also need to ensure that librdkafka
is available. See Build Tags:
The above is the detailed content of Is the Confluence kafka go package compatible with ubuntu 22.04?. For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics











Go language performs well in building efficient and scalable systems. Its advantages include: 1. High performance: compiled into machine code, fast running speed; 2. Concurrent programming: simplify multitasking through goroutines and channels; 3. Simplicity: concise syntax, reducing learning and maintenance costs; 4. Cross-platform: supports cross-platform compilation, easy deployment.

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.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.
