spark-instrumented-optimizer/python/pyspark/__init__.py

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"""
PySpark is the Python API for Spark.

Public classes:

  - :class:`SparkContext`:
      Main entry point for Spark functionality.
  - :class:`RDD`:
      A Resilient Distributed Dataset (RDD), the basic abstraction in Spark.
  - :class:`Broadcast`:
      A broadcast variable that gets reused across tasks.
  - :class:`Accumulator`:
      An "add-only" shared variable that tasks can only add values to.
  - :class:`SparkConf`:
      For configuring Spark.
  - :class:`SparkFiles`:
      Access files shipped with jobs.
  - :class:`StorageLevel`:
      Finer-grained cache persistence levels.

"""

from pyspark.conf import SparkConf
from pyspark.context import SparkContext
from pyspark.rdd import RDD
from pyspark.files import SparkFiles
from pyspark.storagelevel import StorageLevel
from pyspark.accumulators import Accumulator, AccumulatorParam
from pyspark.broadcast import Broadcast
from pyspark.serializers import MarshalSerializer, PickleSerializer
from pyspark.status import *
from pyspark.profiler import Profiler, BasicProfiler


def since(version):
    """
    A decorator that annotates a function to append the version of Spark the function was added.
    """
    import re
    indent_p = re.compile(r'\n( +)')

    def deco(f):
        indents = indent_p.findall(f.__doc__)
        indent = ' ' * (min(len(m) for m in indents) if indents else 0)
        f.__doc__ = f.__doc__.rstrip() + "\n\n%s.. versionadded:: %s" % (indent, version)
        return f
    return deco


# for back compatibility
from pyspark.sql import SQLContext, HiveContext, SchemaRDD, Row

__all__ = [
    "SparkConf", "SparkContext", "SparkFiles", "RDD", "StorageLevel", "Broadcast",
    "Accumulator", "AccumulatorParam", "MarshalSerializer", "PickleSerializer",
    "StatusTracker", "SparkJobInfo", "SparkStageInfo", "Profiler", "BasicProfiler",
]