schema-registry
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schema-registry | Clippy | |
---|---|---|
7 | 120 | |
2,134 | 10,736 | |
1.2% | 1.5% | |
10.0 | 10.0 | |
6 days ago | about 3 hours ago | |
Java | Rust | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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/
Clippy
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More than you've ever wanted to know about errors in Rust
I couldn't find it in the API guidelines either. From what I understand, the idea is that any trait bounds, which includes generic type parameter bounds and lifetime bound on a type (struct or enum) would be repeated back in the impl block
there is a nice discussion on this issue here: https://github.com/rust-lang/rust-clippy/issues/1689
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New clippy lint: detecting `&mut` which could be `&` in function arguments
You should not blindly follow clippy lints. They are sometimes wrong. Another example https://github.com/rust-lang/rust-clippy/issues/9782 .
- Let else will finally be formatted by rustfmt soon
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My deduplication solution written in Rust beats everything else: casync, borg...
I often write () = f() to assert that f() is unit. Unfortunately clippy warns on such code ( https://github.com/rust-lang/rust-clippy/issues/9048 ). There are very recent pull requests for this bug, so hopefully this bug will be fixed very soon. But meanwhile I invented this workaround: [()] = [f()] :)
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Any open source projects willing to take in juniors?
Apart from running clippy on many projects being essential, clippy is also an exceptionally welcoming project, no matter your prior knowledge.
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Any new Opensource projects in (rust) looking for contributors. I want to start my journey as an OSS contributor.
clippy is a great place to get started :) though it isn't exactly new.
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I want to contribute in a big project
clippy is also pretty compiler-adjacent and unlike rust-analyzer uses rustc's internal APIs. Don't let the size of the code base scare you off! It's actually feasible for a newcomer to contribute even such a substantial change as a new lint, and we have issues labeled as "good first issue" that come with mentorship, so you don't need to go it alone.
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rustc-plugin: A framework for writing plugins that integrate with the Rust compiler
Yes, you could use it to write a lint. Although you might find it easier to just fork Clippy and add your own lints to their existing framework.
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Reading Rust
Check out the readme for more information.
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Rust Tips and Tricks #PartOne
They are two of my favorite Rust tools. If you haven’t tried them yet, I highly recommend giving them a try. Clippy can detect various lints in your code and guide you towards writing more idiomatic code. To install Clippy, simply run rustup component add clippy, and to run it within your workspace, execute cargo clippy. For more details, visit Clippy’s GitHub repository.
What are some alternatives?
kafka-ui - Open-Source Web UI for Apache Kafka Management
rustfmt - Format Rust code
kafdrop - Kafka Web UI
vscode-rust
schema-registry-gitops - Manage Confluent Schema Registry subjects through Infrastructure as code
rust.vim - Vim configuration for Rust.
rust-rdkafka - A fully asynchronous, futures-based Kafka client library for Rust based on librdkafka
rust-analyzer - A Rust compiler front-end for IDEs [Moved to: https://github.com/rust-lang/rust-analyzer]
kafka-avro-without-registry - Test Spring Kafka application (using Avro as a serialization mechanism) without the need for Confluent Schema Registry
Rust for Visual Studio Code
Protobuf - Protocol Buffers - Google's data interchange format
intellij-rust - Rust plugin for the IntelliJ Platform