4ad9bfd53b
### What changes were proposed in this pull request? This PR aims to drop Python 2.7, 3.4 and 3.5. Roughly speaking, it removes all the widely known Python 2 compatibility workarounds such as `sys.version` comparison, `__future__`. Also, it removes the Python 2 dedicated codes such as `ArrayConstructor` in Spark. ### Why are the changes needed? 1. Unsupport EOL Python versions 2. Reduce maintenance overhead and remove a bit of legacy codes and hacks for Python 2. 3. PyPy2 has a critical bug that causes a flaky test, SPARK-28358 given my testing and investigation. 4. Users can use Python type hints with Pandas UDFs without thinking about Python version 5. Users can leverage one latest cloudpickle, https://github.com/apache/spark/pull/28950. With Python 3.8+ it can also leverage C pickle. ### Does this PR introduce _any_ user-facing change? Yes, users cannot use Python 2.7, 3.4 and 3.5 in the upcoming Spark version. ### How was this patch tested? Manually tested and also tested in Jenkins. Closes #28957 from HyukjinKwon/SPARK-32138. Authored-by: HyukjinKwon <gurwls223@apache.org> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""
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An interactive shell.
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This file is designed to be launched as a PYTHONSTARTUP script.
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"""
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import atexit
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import os
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import platform
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import warnings
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from pyspark.context import SparkContext
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from pyspark.sql import SparkSession
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if os.environ.get("SPARK_EXECUTOR_URI"):
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SparkContext.setSystemProperty("spark.executor.uri", os.environ["SPARK_EXECUTOR_URI"])
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SparkContext._ensure_initialized()
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try:
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spark = SparkSession._create_shell_session()
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except Exception:
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import sys
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import traceback
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warnings.warn("Failed to initialize Spark session.")
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traceback.print_exc(file=sys.stderr)
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sys.exit(1)
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sc = spark.sparkContext
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sql = spark.sql
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atexit.register(lambda: sc.stop())
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# for compatibility
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sqlContext = spark._wrapped
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sqlCtx = sqlContext
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print(r"""Welcome to
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____ __
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/ __/__ ___ _____/ /__
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_\ \/ _ \/ _ `/ __/ '_/
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/__ / .__/\_,_/_/ /_/\_\ version %s
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/_/
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""" % sc.version)
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print("Using Python version %s (%s, %s)" % (
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platform.python_version(),
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platform.python_build()[0],
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platform.python_build()[1]))
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print("SparkSession available as 'spark'.")
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# The ./bin/pyspark script stores the old PYTHONSTARTUP value in OLD_PYTHONSTARTUP,
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# which allows us to execute the user's PYTHONSTARTUP file:
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_pythonstartup = os.environ.get('OLD_PYTHONSTARTUP')
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if _pythonstartup and os.path.isfile(_pythonstartup):
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with open(_pythonstartup) as f:
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code = compile(f.read(), _pythonstartup, 'exec')
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exec(code)
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