Spark Scala - Encoders and Serialization
Serialization is the silent performance killer in distributed computing. Every time Spark shuffles data between executors, broadcasts variables, or caches RDDs, it serializes objects. Poor…
Read more →Serialization
Serialization: JSON, Protocol Buffers, MessagePack
Serialization converts in-memory data structures into a format that can be transmitted over a network or stored on disk. Deserialization reverses the process. Every time you make an API call, write…
Read more →Rust Serde: Serialization and Deserialization
Serde is Rust’s de facto serialization framework, providing a generic interface for converting data structures to and from various formats. The name combines ‘serialization’ and ‘deserialization,’…
Read more →Protocol Buffers: Schema-Based Serialization
JSON is convenient until it isn’t. At small scale, the flexibility of schema-less formats feels like freedom. At large scale, it becomes a liability. Every service parses JSON differently. Field…
Read more →Apache Spark - Serialization (Kryo vs Java)
Apache Spark serializes objects when shuffling data between executors, caching RDDs in serialized form, and broadcasting variables. The serialization mechanism directly impacts network I/O, memory…
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