Source Code for Package pyspark

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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  from pyspark.conf import SparkConf 
53  from pyspark.context import SparkContext 
54  from pyspark.sql import SQLContext 
55  from pyspark.rdd import RDD 
56  from pyspark.sql import SchemaRDD 
57  from pyspark.sql import Row 
58  from pyspark.files import SparkFiles 
59  from pyspark.storagelevel import StorageLevel 
60   
61   
62  __all__ = ["SparkConf", "SparkContext", "SQLContext", "RDD", "SchemaRDD", "SparkFiles", "StorageLevel", "Row"] 
63