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Serialization Frameworks\n==============================\n\nBenefits of Serialization:\n\n- Persistence: Store objects in a file or database.\n- Communication: Send objects over a network.\n- Caching: Store objects in memory for later retrieval.\n\n### Frameworks\n\n* Protobuf: native and protostuff  https://developers.google.com/protocol-buffers/\n* FlatBuffers: https://google.github.io/flatbuffers/\n* Json: https://www.json.org/\n* Kryo: https://github.com/EsotericSoftware/kryo\n* Hessian: http://hessian.caucho.com/\n* Avro: https://avro.apache.org/     Kafka Schema\n* CBOR: http://cbor.io/\n* MessagePack: https://msgpack.org/\n* Thrift: http://thrift.apache.org/ https://github.com/apache/thrift/blob/master/doc/specs/thrift-compact-protocol.md\n* SBE: https://github.com/real-logic/simple-binary-encoding\n* Jackson binary format backends: avro, cbor, protobuf, smile: https://github.com/FasterXML/jackson-dataformats-binary\n* capnproto: https://capnproto.org/   https://dwrensha.github.io/capnproto-java/index.html\n* fury: https://github.com/alipay/fury\n* Eclipse Serializer: https://github.com/eclipse-serializer/serializer\n\n### Assistant libraries\n\n* mapstruct\n* lombok\n\n### WebAssembly Friendly\n\n* Avor\n* Json\n\n### Data Formats\n\n* Apache Parquet(storage): column-oriented data file format designed for efficient data storage and retrieval\n* 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.\n* Protocol Buffers(serialization): language-neutral, platform-neutral extensible mechanisms for serializing structured data.\n* 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\n\n### Articles\n\n* Data Serialization with Avro and Protobuf: https://www.slideshare.net/gschmutz/big-data-serialization-with-avro-and-protobuf\n* 12 Best Apache Avro Features | Reasons Why Avro is Popular? https://data-flair.training/blogs/apache-avro-features/\n* Guide to Simple Binary Encoding: https://www.baeldung.com/java-sbe\n* Working with Parquet files in Java using Carpet/Avro/Protobuf/Flatbuffers: https://www.jeronimo.dev/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinux-china%2Fjava-serialization-frameworks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flinux-china%2Fjava-serialization-frameworks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinux-china%2Fjava-serialization-frameworks/lists"}