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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
39
40
41 import sys
42 import os
43 sys.path.insert(0, os.path.join(os.environ["SPARK_HOME"], "python/lib/py4j-0.8.1-src.zip"))
44
45
46 from pyspark.conf import SparkConf
47 from pyspark.context import SparkContext
48 from pyspark.rdd import RDD
49 from pyspark.files import SparkFiles
50 from pyspark.storagelevel import StorageLevel
51
52
53 __all__ = ["SparkConf", "SparkContext", "RDD", "SparkFiles", "StorageLevel"]
54