sparklearning

Serialization

Stories about how Spark converts objects to bytes — for tasks, shuffles, broadcasts, and cross-language transfer.

Bytes on the Wire: How Spark Serializes Data for Tasks and Shuffles — Java serialization, Kryo, Tungsten binary format, task closure serialization, broadcast, Python pickle vs Arrow

The Journey of a Shuffle Record — shuffle data is serialized before being written to disk and deserialized on the read side
Tungsten: How Spark Stopped Trusting the JVM — Tungsten’s binary row format is Spark’s answer to the overhead of Java object serialization
Two Runtimes, One Job: How PySpark Bridges Python and the JVM — Python adds an extra serialization layer (pickle or Arrow) on top of the JVM path
Shared State in a Distributed Job — broadcast data is serialized once on the driver and deserialized on every executor