https://github.com/linux-china/java-serialization-frameworks
java serialization frameworks demo
https://github.com/linux-china/java-serialization-frameworks
java kryo protobuf serialization
Last synced: about 2 months ago
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java serialization frameworks demo
- Host: GitHub
- URL: https://github.com/linux-china/java-serialization-frameworks
- Owner: linux-china
- Created: 2019-02-27T20:30:11.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2025-06-09T15:00:36.000Z (4 months ago)
- Last Synced: 2025-08-04T08:25:58.860Z (2 months ago)
- Topics: java, kryo, protobuf, serialization
- Language: Java
- Size: 88.9 KB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
Java Serialization Frameworks
==============================
Benefits of Serialization:
- Persistence: Store objects in a file or database.
- Communication: Send objects over a network.
- Caching: Store objects in memory for later retrieval.
### Frameworks
* Protobuf: native and protostuff https://developers.google.com/protocol-buffers/
* FlatBuffers: https://google.github.io/flatbuffers/
* Json: https://www.json.org/
* Kryo: https://github.com/EsotericSoftware/kryo
* Hessian: http://hessian.caucho.com/
* Avro: https://avro.apache.org/ Kafka Schema
* CBOR: http://cbor.io/
* MessagePack: https://msgpack.org/
* Thrift: http://thrift.apache.org/ https://github.com/apache/thrift/blob/master/doc/specs/thrift-compact-protocol.md
* SBE: https://github.com/real-logic/simple-binary-encoding
* Jackson binary format backends: avro, cbor, protobuf, smile: https://github.com/FasterXML/jackson-dataformats-binary
* capnproto: https://capnproto.org/ https://dwrensha.github.io/capnproto-java/index.html
* fury: https://github.com/alipay/fury
* Eclipse Serializer: https://github.com/eclipse-serializer/serializer
### Assistant libraries
* mapstruct
* lombok
### WebAssembly Friendly
* Avor
* Json
### Data Formats
* Apache Parquet(storage): column-oriented data file format designed for efficient data storage and retrieval
* Apache Arrow(memory analysis): Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs.
* Protocol Buffers(serialization): language-neutral, platform-neutral extensible mechanisms for serializing structured data.
* PlatBuffer(serialization): efficient platform-neutral serialization library, does not need a parsing/ unpacking step to a secondary representation before you can access data, often coupled with per-object memory allocation
### Articles
* Data Serialization with Avro and Protobuf: https://www.slideshare.net/gschmutz/big-data-serialization-with-avro-and-protobuf
* 12 Best Apache Avro Features | Reasons Why Avro is Popular? https://data-flair.training/blogs/apache-avro-features/
* Guide to Simple Binary Encoding: https://www.baeldung.com/java-sbe
* Working with Parquet files in Java using Carpet/Avro/Protobuf/Flatbuffers: https://www.jeronimo.dev/