


Kafka Schema Registry - Broker: The broker cannot validate the record
In this article, php editor Xiaoxin will introduce you to an important concept in the Kafka architecture registry: proxy. In Kafka, the broker is a core component responsible for managing and processing message flow. However, the broker cannot validate records, which means that once a record is written to the broker, it cannot be validated or changed. This feature may have an impact on some specific usage scenarios and security, so you need to pay attention to this when using Kafka. Next, we will explain in detail why the agent cannot verify the record and the problems that may arise.
I am validating the schema using the Kafka schema registry. The problem is that even though I entered the correct schema, I still get the error Broker: Broker failed to verify record.
confluence.value.schema.validation Set to true so that the value's schema can be checked at the current agent level.
The schema I set up and the data I sent is as follows.
{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "description": "Sample schema to help you get started.", "properties": { "test": { "type": "string" } }, "title": "schema_test", "type": "object" }
{"test": "test1"}
In addition, I use go to send data, and the code for the data is as follows.
// main
func main() {
kafka.ProduceData("schema_test", []byte(`{"test": "test1"}`))
}
<code>// kafka func ProduceData(topic string, data []byte) { conf := ReadConfig() p, err := kafka.NewProducer(&conf) if err != nil { fmt.Printf("Failed to create producer: %s", err) os.Exit(1) } defer p.Close() // Go-routine to handle message delivery reports and // possibly other event types (errors, stats, etc) go func() { for e := range p.Events() { switch ev := e.(type) { case *kafka.Message: if ev.TopicPartition.Error != nil { fmt.Printf("Failed to deliver message: %v\n", ev.TopicPartition) } else { fmt.Printf("Produced event to topic %s: key = %-10s value = %s\n", *ev.TopicPartition.Topic, string(ev.Key), string(ev.Value)) } } } }() p.Produce(&kafka.Message{ TopicPartition: kafka.TopicPartition{Topic: &topic, Partition: kafka.PartitionAny}, Value: data, }, nil) // Wait for all messages to be delivered p.Flush(15 * 1000) } </code>
Correct Answer
There seems to be a misunderstanding as to how brokers actually verify the data. It works as expected. You need a schema ID. You're just sending plain JSON about the topic, without the ID. The schema on the registry doesn't matter, only its ID.
From documentation
More specifically, the schema you add to the registry is just one of many "versions" that may exist on a topic (e.g. topic-value
). Each version has a unique ID. Authentication doesn't just use the latest version; the ID is encoded on the client side.
See the Confluence example of using JSON schema for generation (which should itself do record validation).
Agent-side validation is just to prevent incorrectly serialized data or a "poison pill" like you are doing now.
The above is the detailed content of Kafka Schema Registry - Broker: The broker cannot validate the record. 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











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.

Goisidealforbeginnersandsuitableforcloudandnetworkservicesduetoitssimplicity,efficiency,andconcurrencyfeatures.1)InstallGofromtheofficialwebsiteandverifywith'goversion'.2)Createandrunyourfirstprogramwith'gorunhello.go'.3)Exploreconcurrencyusinggorout

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.

C is more suitable for scenarios where direct control of hardware resources and high performance optimization is required, while Golang is more suitable for scenarios where rapid development and high concurrency processing are required. 1.C's advantage lies in its close to hardware characteristics and high optimization capabilities, which are suitable for high-performance needs such as game development. 2.Golang's advantage lies in its concise syntax and natural concurrency support, which is suitable for high concurrency service development.
