[SPARK-3491] [WIP] [MLlib] [PySpark] use pickle to serialize data in MLlib

Currently, we serialize the data between JVM and Python case by case manually, this cannot scale to support so many APIs in MLlib.

This patch will try to address this problem by serialize the data using pickle protocol, using Pyrolite library to serialize/deserialize in JVM. Pickle protocol can be easily extended to support customized class.

All the modules are refactored to use this protocol.

This patch depends on #2365 to support serialze array.array in Python2.6 (included it for testing)
If the first record is small, e.g., a SparseVector with a single nonzero, and the records followed are large vectors, line 789 may cause memory problems. Does it give significant performance gain? under what circumstances?