![]() ![]() Kryo requires that you register the classes in your program, and it doesn't yet support all Serializable types.īucketing is similar to data partitioning, but each bucket can hold a set of column values rather than just one. Kryo serialization is a newer format and can result in faster and more compact serialization than Java.There are two serialization options for Spark: Spark jobs are distributed, so appropriate data serialization is important for the best performance. ![]()
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