Source Code for Package pyspark

 1  # 
 2  # Licensed to the Apache Software Foundation (ASF) under one or more 
 3  # contributor license agreements.  See the NOTICE file distributed with 
 4  # this work for additional information regarding copyright ownership. 
 5  # The ASF licenses this file to You under the Apache License, Version 2.0 
 6  # (the "License"); you may not use this file except in compliance with 
 7  # the License.  You may obtain a copy of the License at 
 8  # 
 9  #    http://www.apache.org/licenses/LICENSE-2.0 
10  # 
11  # Unless required by applicable law or agreed to in writing, software 
12  # distributed under the License is distributed on an "AS IS" BASIS, 
13  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 
14  # See the License for the specific language governing permissions and 
15  # limitations under the License. 
16  # 
17   
18  """ 
19  PySpark is the Python API for Spark. 
20   
21  Public classes: 
22   
23    - L{SparkContext<pyspark.context.SparkContext>} 
24        Main entry point for Spark functionality. 
25    - L{RDD<pyspark.rdd.RDD>} 
26        A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. 
27    - L{Broadcast<pyspark.broadcast.Broadcast>} 
28        A broadcast variable that gets reused across tasks. 
29    - L{Accumulator<pyspark.accumulators.Accumulator>} 
30        An "add-only" shared variable that tasks can only add values to. 
31    - L{SparkConf<pyspark.conf.SparkConf>} 
32        For configuring Spark. 
33    - L{SparkFiles<pyspark.files.SparkFiles>} 
34        Access files shipped with jobs. 
35    - L{StorageLevel<pyspark.storagelevel.StorageLevel>} 
36        Finer-grained cache persistence levels. 
37   
38  Spark SQL: 
39    - L{SQLContext<pyspark.sql.SQLContext>} 
40        Main entry point for SQL functionality. 
41    - L{SchemaRDD<pyspark.sql.SchemaRDD>} 
42        A Resilient Distributed Dataset (RDD) with Schema information for the data contained. In 
43        addition to normal RDD operations, SchemaRDDs also support SQL. 
44    - L{Row<pyspark.sql.Row>} 
45        A Row of data returned by a Spark SQL query. 
46   
47  Hive: 
48    - L{HiveContext<pyspark.context.HiveContext>} 
49        Main entry point for accessing data stored in Apache Hive.. 
50  """ 
51   
52  # The following block allows us to import python's random instead of mllib.random for scripts in 
53  # mllib that depend on top level pyspark packages, which transitively depend on python's random. 
54  # Since Python's import logic looks for modules in the current package first, we eliminate 
55  # mllib.random as a candidate for C{import random} by removing the first search path, the script's 
56  # location, in order to force the loader to look in Python's top-level modules for C{random}. 
57  import sys 
58  s = sys.path.pop(0) 
59  import random 
60  sys.path.insert(0, s) 
61   
62  from pyspark.conf import SparkConf 
63  from pyspark.context import SparkContext 
64  from pyspark.sql import SQLContext 
65  from pyspark.rdd import RDD 
66  from pyspark.sql import SchemaRDD 
67  from pyspark.sql import Row 
68  from pyspark.files import SparkFiles 
69  from pyspark.storagelevel import StorageLevel 
70   
71   
72  __all__ = ["SparkConf", "SparkContext", "SQLContext", "RDD", "SchemaRDD", 
73             "SparkFiles", "StorageLevel", "Row"] 
74