db573fc743
## What changes were proposed in this pull request? This is a followup of https://github.com/apache/spark/pull/12851 Remove `SparkSession.withHiveSupport` in PySpark and instead use `SparkSession.builder. enableHiveSupport` ## How was this patch tested? Existing tests. Author: Sandeep Singh <sandeep@techaddict.me> Closes #13063 from techaddict/SPARK-15072-followup.
76 lines
2.3 KiB
Python
76 lines
2.3 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 py4j
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import pyspark
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from pyspark.context import SparkContext
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from pyspark.sql import SparkSession, SQLContext
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from pyspark.storagelevel import StorageLevel
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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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sc = SparkContext()
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atexit.register(lambda: sc.stop())
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try:
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# Try to access HiveConf, it will raise exception if Hive is not added
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sc._jvm.org.apache.hadoop.hive.conf.HiveConf()
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spark = SparkSession.builder\
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.enableHiveSupport()\
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.getOrCreate()
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except py4j.protocol.Py4JError:
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spark = SparkSession(sc)
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except TypeError:
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spark = SparkSession(sc)
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# for compatibility
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sqlContext = spark._wrapped
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sqlCtx = sqlContext
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print("""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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