code: def from_spark(self, df, key):
      result_tuple = self._jbackend.pyFromDF(df._jdf, key)
      tir_id, type_json = result_tuple._1(), result_tuple._2()
      return Table._from_java(
          ttable._from_json(orjson.loads(type_json)), tir_id
      )
  
imports: import sys
  import os
  import pyspark
  import pyspark.sql
  import orjson
  from typing import Optional
  from hail.expr.table_type import ttable
  from hail.fs.hadoop_fs import HadoopFS
  from hail.ir.renderer import CSERenderer
  from hail.table import Table
  from hailtop.aiotools.router_fs import RouterAsyncFS
  from hailtop.aiotools.validators import validate_file
  from .py4j_backend import Py4JBackend
  from .backend import local_jar_information
label_desc: Use image node_id 5 for calling the SparkBackend obj's underlying member method code with example usage: obj.from_spark(df, key) and returns: Table