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        "author": "Noorul Islam K M",
        "author_email": "noorul@noorul.com",
        "bugtrack_url": null,
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            "Environment :: Console",
            "Intended Audience :: Information Technology",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
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        "description": "Python client for Spark Jobserver\n=================================\n\n.. image:: https://travis-ci.org/spark-jobserver/python-sjsclient.svg?branch=master\n  :target:  https://travis-ci.org/spark-jobserver/python-sjsclient\n  :align: right\n\n.. image:: https://coveralls.io/repos/spark-jobserver/python-sjsclient/badge.svg?branch=master&service=github\n  :target: https://coveralls.io/github/spark-jobserver/python-sjsclient?branch=master\n  :align: right\n\n.. image:: https://readthedocs.org/projects/python-sjsclient/badge/?version=latest\n   :target: http://python-sjsclient.readthedocs.org/en/latest/?badge=latest\n   :alt: Documentation Status\n\n.. image:: https://img.shields.io/pypi/v/python-sjsclient.svg\n        :target: https://pypi.python.org/pypi/python-sjsclient\n        :alt: Latest version\n\nFeatures\n--------\n\n- Supports Spark Jobserver 0.6.0+\n\n\nLibrary Installation\n--------------------\n\n::\n\n   $ pip install python-sjsclient\n\n\nGetting started\n---------------\n\nFirst create a client instance::\n\n    >>> from sjsclient import client\n    >>> sjs = client.Client(\"http://JOB_SERVER_URL:PORT\")\n\nUploading a jar to Spark Jobserver::\n\n    >>> jar_file_path = os.path.join(\"path\", \"to\", \"jar\")\n    >>> jar_blob = open(jar_file_path, 'rb').read()\n    >>> app = sjs.apps.create(\"test_app\", jar_blob)\n\nUploading a python egg to Spark Jobserver::\n\n    >>> from sjsclient import app\n    >>> egg_file_path = os.path.join(\"path\", \"to\", \"egg\")\n    >>> egg_blob = open(egg_file_path, 'rb').read()\n    >>> app = sjs.apps.create(\"test_python_app\", egg_blob, app.AppType.PYTHON)\n\nListing available apps::\n\n    >>> for app in sjs.apps.list():\n    ...     print app.name\n    ...\n    test_app\n    my_streaming_app\n\nCreating an adhoc job::\n\n    >>> test_app = sjs.apps.get(\"test_app\")\n    >>> class_path = \"spark.jobserver.VeryShortDoubleJob\"\n    >>> config = {\"test_config\": \"test_config_value\"}\n    >>> job = sjs.jobs.create(test_app, class_path, conf=config)\n    >>> print(\"Job Status: \", job.status)\n    Job Status: STARTED\n\nCreating a synchronous adhoc job::\n\n    >>> job = sjs.jobs.create(test_app, class_path, conf=config, sync=True)\n    >>> print(job.result)\n    [2, 4, 6]\n\nPolling for job status::\n\n    >>> job = sjs.jobs.create(...)\n    >>> while job.status != \"FINISHED\":\n    >>>     time.sleep(2)\n    >>>     job = sjs.jobs.get(job.jobId)\n\nGetting job config::\n\n    >>> config = {\"test_config\": \"test_config_value\"}\n    >>> job = sjs.jobs.create(test_app, class_path, conf=config)\n    >>> job_config = job.get_config()\n    >>> print(\"test_config value: \", job_config[\"test_config\"])\n    test_config_value: test_config_value\n\nListing jobs::\n\n    >>> for job in sjs.jobs.list():\n    ...     print job.jobId\n    ...\n    8c5bd52f-6486-44ee-9ac3-a8327ee40494\n    24b67573-3115-49c7-983c-d0eff0499b71\n    99c8be9e-a0ec-42dd-8a2c-9a8680bc5051\n    bb82f712-d4b4-43a4-8e4d-e4bb272e85db\n\nLimiting jobs list::\n\n    >>> for job in sjs.jobs.list(limit=1):\n    ...     print job.jobId\n    ...\n    8c5bd52f-6486-44ee-9ac3-a8327ee40494\n\nCreating a named context::\n\n    >>> ctx_config = {'num-cpu-cores': '1', 'memory-per-node': '512m'}\n    >>> ctx = sjs.contexts.create(\"test_context\", ctx_config)\n\nRunning a job in a named context::\n\n    >>> test_app = sjs.apps.get(\"test_app\")\n    >>> test_ctx = sjs.contexts.get(\"test_context\")\n    >>> config = {\"test_config\": \"test_config_value\"}\n    >>> job = sjs.jobs.create(test_app, class_path, ctx=test_ctx, conf=config)\n    >>> print(\"Job Status: \", job.status)\n    Job Status: STARTED\n\n\nDocumentation\n-------------\n\nhttp://python-sjsclient.readthedocs.org\n\n\nDiscussion list\n---------------\n\n*spark-jobserver* google group: https://groups.google.com/forum/#!forum/spark-jobserver\n\nRequirements\n------------\n\n- Python >= 2.7.0\n\nLicense\n-------\n\n``python-sjsclient`` is offered under the Apache 2 license.\n\nSource code\n------------\n\nThe latest developer version is available in a github repository:\nhttps://github.com/spark-jobserver/python-sjsclient\n\n",
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