old_contents: #
  # Licensed to the Apache Software Foundation (ASF) under one or more
  # contributor license agreements.  See the NOTICE file distributed with
  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You under the Apache License, Version 2.0
  # (the "License"); you may not use this file except in compliance with
  # the License.  You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  """
  An interactive shell.
  
  This file is designed to be launched as a PYTHONSTARTUP script.
  """
  
  import atexit
  import os
  import platform
  
  import py4j
  
  import pyspark
  from pyspark.context import SparkContext
  from pyspark.sql import SparkSession, SQLContext
  from pyspark.storagelevel import StorageLevel
  
  if os.environ.get("SPARK_EXECUTOR_URI"):
      SparkContext.setSystemProperty("spark.executor.uri", os.environ["SPARK_EXECUTOR_URI"])
  
  SparkContext._ensure_initialized()
  
  try:
      # Try to access HiveConf, it will raise exception if Hive is not added
      SparkContext._jvm.org.apache.hadoop.hive.conf.HiveConf()
      spark = SparkSession.builder\
          .enableHiveSupport()\
          .getOrCreate()
  except py4j.protocol.Py4JError:
      spark = SparkSession.builder.getOrCreate()
  except TypeError:
      spark = SparkSession.builder.getOrCreate()
  
  sc = spark.sparkContext
  sql = spark.sql
  atexit.register(lambda: sc.stop())
  
  # for compatibility
  sqlContext = spark._wrapped
  sqlCtx = sqlContext
  
  print("""Welcome to
        ____              __
       / __/__  ___ _____/ /__
      _\ \/ _ \/ _ `/ __/  '_/
     /__ / .__/\_,_/_/ /_/\_\   version %s
        /_/
  """ % sc.version)
  print("Using Python version %s (%s, %s)" % (
      platform.python_version(),
      platform.python_build()[0],
      platform.python_build()[1]))
  print("SparkSession available as 'spark'.")
  
  # The ./bin/pyspark script stores the old PYTHONSTARTUP value in OLD_PYTHONSTARTUP,
  # which allows us to execute the user's PYTHONSTARTUP file:
  _pythonstartup = os.environ.get('OLD_PYTHONSTARTUP')
  if _pythonstartup and os.path.isfile(_pythonstartup):
      with open(_pythonstartup) as f:
          code = compile(f.read(), _pythonstartup, 'exec')
          exec(code)
  
new_contents: #
  # Licensed to the Apache Software Foundation (ASF) under one or more
  # contributor license agreements.  See the NOTICE file distributed with
  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You under the Apache License, Version 2.0
  # (the "License"); you may not use this file except in compliance with
  # the License.  You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  """
  An interactive shell.
  
  This file is designed to be launched as a PYTHONSTARTUP script.
  """
  
  import atexit
  import os
  import platform
  import warnings
  
  import py4j
  
  from pyspark import SparkConf
  from pyspark.context import SparkContext
  from pyspark.sql import SparkSession, SQLContext
  
  if os.environ.get("SPARK_EXECUTOR_URI"):
      SparkContext.setSystemProperty("spark.executor.uri", os.environ["SPARK_EXECUTOR_URI"])
  
  SparkContext._ensure_initialized()
  
  try:
      # Try to access HiveConf, it will raise exception if Hive is not added
      conf = SparkConf()
      if conf.get('spark.sql.catalogImplementation', 'hive').lower() == 'hive':
          SparkContext._jvm.org.apache.hadoop.hive.conf.HiveConf()
          spark = SparkSession.builder\
              .enableHiveSupport()\
              .getOrCreate()
      else:
          spark = SparkSession.builder.getOrCreate()
  except py4j.protocol.Py4JError:
      if conf.get('spark.sql.catalogImplementation', '').lower() == 'hive':
          warnings.warn("Fall back to non-hive support because failing to access HiveConf, "
                        "please make sure you build spark with hive")
      spark = SparkSession.builder.getOrCreate()
  except TypeError:
      if conf.get('spark.sql.catalogImplementation', '').lower() == 'hive':
          warnings.warn("Fall back to non-hive support because failing to access HiveConf, "
                        "please make sure you build spark with hive")
      spark = SparkSession.builder.getOrCreate()
  
  sc = spark.sparkContext
  sql = spark.sql
  atexit.register(lambda: sc.stop())
  
  # for compatibility
  sqlContext = spark._wrapped
  sqlCtx = sqlContext
  
  print("""Welcome to
        ____              __
       / __/__  ___ _____/ /__
      _\ \/ _ \/ _ `/ __/  '_/
     /__ / .__/\_,_/_/ /_/\_\   version %s
        /_/
  """ % sc.version)
  print("Using Python version %s (%s, %s)" % (
      platform.python_version(),
      platform.python_build()[0],
      platform.python_build()[1]))
  print("SparkSession available as 'spark'.")
  
  # The ./bin/pyspark script stores the old PYTHONSTARTUP value in OLD_PYTHONSTARTUP,
  # which allows us to execute the user's PYTHONSTARTUP file:
  _pythonstartup = os.environ.get('OLD_PYTHONSTARTUP')
  if _pythonstartup and os.path.isfile(_pythonstartup):
      with open(_pythonstartup) as f:
          code = compile(f.read(), _pythonstartup, 'exec')
          exec(code)
  
subject: Allow to disable hive in pyspark shell