spark-instrumented-optimizer/python/epydoc.conf
Josh Rosen cbb7f04aef Add custom serializer support to PySpark.
For now, this only adds MarshalSerializer, but it lays the groundwork
for other supporting custom serializers.  Many of these mechanisms
can also be used to support deserialization of different data formats
sent by Java, such as data encoded by MsgPack.

This also fixes a bug in SparkContext.union().
2013-11-10 16:45:38 -08:00

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[epydoc] # Epydoc section marker (required by ConfigParser)
#
# 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.
#
# Information about the project.
name: PySpark
url: http://spark-project.org
# The list of modules to document. Modules can be named using
# dotted names, module filenames, or package directory names.
# This option may be repeated.
modules: pyspark
# Write html output to the directory "apidocs"
output: html
target: docs/
private: no
exclude: pyspark.cloudpickle pyspark.worker pyspark.join
pyspark.java_gateway pyspark.examples pyspark.shell pyspark.test
pyspark.rddsampler pyspark.daemon