class_docstr: User-facing configuration API, accessible through `SparkSession.conf`.
  
  Options set here are automatically propagated to the Hadoop configuration during I/O.
  
  .. versionchanged:: 3.4.0
      Supports Spark Connect.
docstr: Create a new RuntimeConfig that wraps the underlying JVM object.
docstr_tok: ["Create","a","new","RuntimeConfig","that","wraps","the","underlying","JVM","object","."]
code: def __init__(self, jconf: JavaObject) -> None:
      """Create a new RuntimeConfig that wraps the underlying JVM object."""
      self._jconf = jconf
  
file_path: spark/python/pyspark/sql/conf.py
imports: import sys
  from typing import Any, Optional, Union
  from py4j.java_gateway import JavaObject
  from pyspark import _NoValue
  from pyspark._globals import _NoValueType
  from pyspark.errors import PySparkTypeError
label_desc: Use image node_id 1 to create a new RuntimeConfig object  with example: obj = RuntimeConfig(jconf)