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        "author": "Alex (Oleksii) Markov",
        "author_email": "alex@markovs.me",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Framework :: Pytest",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Software Development :: Testing"
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        "description": "pytest-spark\n############\n\n.. image:: https://travis-ci.org/malexer/pytest-spark.svg?branch=master\n    :target: https://travis-ci.org/malexer/pytest-spark\n\npytest_ plugin to run the tests with support of pyspark (`Apache Spark`_).\n\nThis plugin will allow to specify SPARK_HOME directory in ``pytest.ini``\nand thus to make \"pyspark\" importable in your tests which are executed\nby pytest.\n\nYou can also define \"spark_options\" in ``pytest.ini`` to customize pyspark,\nincluding \"spark.jars.packages\" option which allows to load external\nlibraries (e.g. \"com.databricks:spark-xml\").\n\npytest-spark provides session scope fixtures ``spark_context`` and\n``spark_session`` which can be used in your tests.\n\n\nInstall\n=======\n\n.. code-block:: shell\n\n    $ pip install pytest-spark\n\n\nUsage\n=====\n\nSet Spark location\n------------------\n\nTo run tests with required spark_home location you need to define it by\nusing one of the following methods:\n\n1. Specify command line option \"--spark_home\"::\n\n    $ pytest --spark_home=/opt/spark\n\n2. Add \"spark_home\" value to ``pytest.ini`` in your project directory::\n\n    [pytest]\n    spark_home = /opt/spark\n\n3. Set the \"SPARK_HOME\" environment variable.\n\npytest-spark will try to import ``pyspark`` from provided location.\n\n\n.. note::\n    \"spark_home\" will be read in the specified order. i.e. you can\n    override ``pytest.ini`` value by command line option.\n\n\nCustomize spark_options\n-----------------------\n\nJust define \"spark_options\" in your ``pytest.ini``, e.g.::\n\n    [pytest]\n    spark_home = /opt/spark\n    spark_options =\n        spark.app.name: my-pytest-spark-tests\n        spark.executor.instances: 1\n        spark.jars.packages: com.databricks:spark-xml_2.12:0.5.0\n\n\nUsing the ``spark_context`` fixture\n-----------------------------------\n\nUse fixture ``spark_context`` in your tests as a regular pyspark fixture.\nSparkContext instance will be created once and reused for the whole test\nsession.\n\nExample::\n\n    def test_my_case(spark_context):\n        test_rdd = spark_context.parallelize([1, 2, 3, 4])\n        # ...\n\n\nUsing the ``spark_session`` fixture (Spark 2.0 and above)\n---------------------------------------------------------\n\nUse fixture ``spark_session`` in your tests as a regular pyspark fixture.\nA SparkSession instance with Hive support enabled will be created once and reused for the whole test\nsession.\n\nExample::\n\n    def test_spark_session_dataframe(spark_session):\n        test_df = spark_session.createDataFrame([[1,3],[2,4]], \"a: int, b: int\")\n        # ...\n\n\nDevelopment\n===========\n\nTests\n-----\n\nRun tests locally::\n\n    $ docker-compose up --build\n\n\n.. _pytest: http://pytest.org/\n.. _Apache Spark: https://spark.apache.org/\n\n\n",
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