class_docstr: manage RDDTable
code: def _parallelize(
      self,
      data: Iterable,
      total_partitions,
      key_serdes,
      key_serdes_type,
      value_serdes,
      value_serdes_type,
      partitioner,
      partitioner_type,
  ):
      # noinspection PyPackageRequirements
      from pyspark import SparkContext
  
      rdd = SparkContext.getOrCreate().parallelize(
          data, total_partitions
      )
      return from_rdd(rdd)
  
file_path: FATE/python/fate/arch/computing/backends/spark/_csession.py
imports: import logging
  import typing
  from typing import Iterable
  from fate.arch.computing.api import KVTableContext
  from fate.arch.unify import URI
  from ._table import from_hdfs, from_hive, from_localfs, from_rdd
label_desc: Use image node_id 3 for calling the CSession obj's underlying member method code with example usage: obj._parallelize(data, total_partitions, key_serdes, key_serdes_type, value_serdes, value_serdes_type, partitioner, partitioner_type) and returns: from_rdd