spark-instrumented-optimizer/python/pyspark/shell.py
Erik Selin e4e0b3f7b2 [SPARK-12268][PYSPARK] Make pyspark shell pythonstartup work under python3
This replaces the `execfile` used for running custom python shell scripts
with explicit open, compile and exec (as recommended by 2to3). The reason
for this change is to make the pythonstartup option compatible with python3.

Author: Erik Selin <erik.selin@gmail.com>

Closes #10255 from tyro89/pythonstartup-python3.
2016-01-13 12:21:45 -08:00

82 lines
2.7 KiB
Python

#
# 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 SQLContext, HiveContext
from pyspark.storagelevel import StorageLevel
# this is the deprecated equivalent of ADD_JARS
add_files = None
if os.environ.get("ADD_FILES") is not None:
add_files = os.environ.get("ADD_FILES").split(',')
if os.environ.get("SPARK_EXECUTOR_URI"):
SparkContext.setSystemProperty("spark.executor.uri", os.environ["SPARK_EXECUTOR_URI"])
sc = SparkContext(pyFiles=add_files)
atexit.register(lambda: sc.stop())
try:
# Try to access HiveConf, it will raise exception if Hive is not added
sc._jvm.org.apache.hadoop.hive.conf.HiveConf()
sqlContext = HiveContext(sc)
except py4j.protocol.Py4JError:
sqlContext = SQLContext(sc)
except TypeError:
sqlContext = SQLContext(sc)
# for compatibility
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("SparkContext available as sc, %s available as sqlContext." % sqlContext.__class__.__name__)
if add_files is not None:
print("Warning: ADD_FILES environment variable is deprecated, use --py-files argument instead")
print("Adding files: [%s]" % ", ".join(add_files))
# 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)