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0001 #
0002 # Licensed to the Apache Software Foundation (ASF) under one or more
0003 # contributor license agreements.  See the NOTICE file distributed with
0004 # this work for additional information regarding copyright ownership.
0005 # The ASF licenses this file to You under the Apache License, Version 2.0
0006 # (the "License"); you may not use this file except in compliance with
0007 # the License.  You may obtain a copy of the License at
0008 #
0009 #    http://www.apache.org/licenses/LICENSE-2.0
0010 #
0011 # Unless required by applicable law or agreed to in writing, software
0012 # distributed under the License is distributed on an "AS IS" BASIS,
0013 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
0014 # See the License for the specific language governing permissions and
0015 # limitations under the License.
0016 #
0017 
0018 from __future__ import print_function
0019 
0020 import sys
0021 
0022 from pyspark.sql import SparkSession
0023 from pyspark.sql.types import StringType
0024 
0025 
0026 if __name__ == "__main__":
0027     """
0028         Usage: pyfiles [major_python_version]
0029     """
0030     spark = SparkSession \
0031         .builder \
0032         .appName("PyFilesTest") \
0033         .getOrCreate()
0034 
0035     from py_container_checks import version_check
0036     # Begin of Python container checks
0037     version_check(sys.argv[1], 2 if sys.argv[1] == "python" else 3)
0038 
0039     # Check python executable at executors
0040     spark.udf.register("get_sys_ver",
0041                        lambda: "%d.%d" % sys.version_info[:2], StringType())
0042     [row] = spark.sql("SELECT get_sys_ver()").collect()
0043     driver_version = "%d.%d" % sys.version_info[:2]
0044     print("Python runtime version check for executor is: " + str(row[0] == driver_version))
0045 
0046     spark.stop()