obm_confluent_blog
schema-registry
obm_confluent_blog | schema-registry | |
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1 | 7 | |
1 | 2,140 | |
- | 0.5% | |
0.0 | 10.0 | |
over 4 years ago | about 9 hours ago | |
Clojure | Java | |
MIT License | GNU General Public License v3.0 or later |
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obm_confluent_blog
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confluent Schema Registry and Rust
So what is actually the Schema Registry? And how does it help to make sense of binary data? In essence Schema Registry is an application with some Rest endpoints, from which schema's can be registered and retrieved. It used to only support Apache Avro. Later support for Protobuf and JSON Schema was added. Part of the same Github project, and what makes Schema Registry easy to use, is a Collection of Java classes that are used to go from bytes to typed objects and vice versa. There are several classes that support Kafka Streams and ksqlDB next to the more low level Kafka [Producer(https://kafka.apache.org/documentation/#producerapi) and Consumer clients. There are more advanced use cases, but basically you supply the url for the Schema Registry, and the library will handle the rest. For producing data this will mean optionally register a new schema too get the correct id. The consumer will use the encoded id to fetch the schema used to produce the data. It can also be used with other frameworks like Spring Cloud Stream. For example in the Kotlin Command Handler by using the SpecificAvroSerde class. You might need to set additional properties to get this working.
schema-registry
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JR, quality Random Data from the Command line, part I
So, is JR yet another faking library written in Go? Yes and no. JR indeed implements most of the APIs in fakerjs and Go fake it, but it's also able to stream data directly to stdout, Kafka, Redis and more (Elastic and MongoDB coming). JR can talk directly to Confluent Schema Registry, manage json-schema and Avro schemas, easily maintain coherence and referential integrity. If you need more than what is OOTB in JR, you can also easily pipe your data streams to other cli tools like kcat thanks to its flexibility.
- What tool do you use to document your Kafka messages format?
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How to handle failing message in a topic with Avro schema?
Check here for more details. https://github.com/confluentinc/schema-registry
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What is Schema Registry and How Does It Work? [Explained]
Confluent Schema Registry for Apache Kafka [GitHub]
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Testing a Kafka consumer with Avro schema messages in your Spring Boot application with Testcontainers
So that means we can configure the Kafka producer and consumer with an imaginary schema registry url, that only needs to start with “mock://” and you automatically get to work with the MockSchemaRegistryClient. This way you don't need to explicitly initiate the MockSchemaRegistryClient and configure everything accordingly. That also eradicates the need for the Confluent Schema Registry Container. Running the Kafka Testcontainer with the embedded Zookeeper, we no longer need an extra Zookeeper container and we are down to one Testcontainer for the messaging. This way I ended up with only two Testcontainers: Kafka and the database.
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confluent Schema Registry and Rust
Confluent is a company founded by the creators of Apache Kafka. They are providing the Confluent Platform which consists of several components, all based on Kafka. The license for these components vary. The Schema Registry has the community-license, which basically means it's free to use as long as you don't offer the Schema Registry itself as a SaaS solution. The source code can be found on Github.
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An Overview About the Different Kafka Connect Plugins
Schema Registry from Confluent (GitHub) => http://localhost:8081/
What are some alternatives?
ksqlDB-GraphQL-poc - A fairly simple setup to show how ksqlDB can be used with GraphQL.
kafka-ui - Open-Source Web UI for Apache Kafka Management
foundation.rust-lang.org - website for Rust Foundation
kafdrop - Kafka Web UI
schema-registry-gitops - Manage Confluent Schema Registry subjects through Infrastructure as code
rust-rdkafka - A fully asynchronous, futures-based Kafka client library for Rust based on librdkafka
kafka-avro-without-registry - Test Spring Kafka application (using Avro as a serialization mechanism) without the need for Confluent Schema Registry
Protobuf - Protocol Buffers - Google's data interchange format
logos - Create ridiculously fast Lexers
OSCAL - Open Security Controls Assessment Language (OSCAL)
kafka-connect-ui - Web tool for Kafka Connect |