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# # 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. #
"""User-facing configuration API, accessible through `SparkSession.conf`.
Options set here are automatically propagated to the Hadoop configuration during I/O. """
"""Create a new RuntimeConfig that wraps the underlying JVM object."""
def set(self, key, value): """Sets the given Spark runtime configuration property."""
"""Returns the value of Spark runtime configuration property for the given key, assuming it is set. """ else:
def unset(self, key): """Resets the configuration property for the given key."""
"""Assert that an object is of type str.""" raise TypeError("expected %s '%s' to be a string (was '%s')" % (identifier, obj, type(obj).__name__))
def isModifiable(self, key): """Indicates whether the configuration property with the given key is modifiable in the current session. """ return self._jconf.isModifiable(key)
.master("local[4]")\ .appName("sql.conf tests")\ .getOrCreate() sys.exit(-1)
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