![]() ![]() This article will look at these two layers then provide code examples in Go and Java to flesh out Protobuf details and show that Protobuf is easy to use. Like DCE/RPC, Protobuf contributes to both the IDL (interface definition language) and the encoding layer in data interchange. Recent encoding technologies, such as Protobuf and FlatBuffers, derive from the DCE/RPC (Distributed Computing Environment/Remote Procedure Call) initiative of the early 1990s. Efficient serialization and deserialization is another Protobuf design goal. ![]() ![]() Serialization and deserialization may become the bottleneck in data interchange because these operations are CPU-intensive. Serialization transforms a language-specific data structure into a bytestream, and deserialization is the inverse operation that transforms a bytestream back into a language-specific data structure. At the implementation level, Protobuf and other encoding systems serialize and deserialize structured data.
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