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This article introduces the relevant knowledge of "what are the main advantages of Hadoop serialization". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

The serialization mechanism of hadoop is different from that of java. It is worth mentioning that the serialization mechanism of java is to create objects continuously, but in the serialization mechanism of Hadoop, users can take objects, which reduces the allocation and recovery of java objects, and improves the efficiency of application.

Main advantages of Hadoop serialization

1. Compact: the scarcest resource in Hadoop is broadband, so the compact serialization mechanism can take full advantage of broadband.

two。 Fast: serialization mechanisms are heavily used in communication, so you need to reduce the cost of serialization and deserialization.

3. Scalable: it can be upgraded with the upgrade of communication protocol.

4. Interoperability: supports communication between different development languages.

Hadoop as a general mass data processing platform, the use of compression mainly considers the compression speed and decompression separability.

Hadoop does not adopt the RIM of java remote call, but uses dynamic proxy and call forwarding handle to implement its own IPC mechanism. Because of the high load of IPC server, it uses a large number of blocking java nio system.

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