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        "author": "Achilleas Athanasiou Fragkoulis",
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        "description": "# PyQubole\nA watered down version of Qubole's Python connector providing a much simpler API to interact with for running streaming queries or submitting a job and rerieving its output at a later time (sync or async). Allowing for easy use in notebooks or integration in projects without much overhead. Based on Qubole QDS-SDK-Py https://github.com/qubole/qds-sdk-py\n\n## Installtion\n### From PyPI\nThe library is available on [PyPI - PyQubole](https://pypi.org/project/qubolepystream/).\n\n`$ pip install qubolepystream`\n\n### From Source\n\u2022Get source code: SSH `git@github.com:achilleasatha/PyQubole.git` or HTTPS `https://github.com/achilleasatha/PyQubole.git` \n\n\n\u2022Install by running `python setup.py install` \n\n## API\nYou can find an example application in [example/main.py](https://github.com/achilleasatha/PyQubole/blob/master/example/main.py)\n\nAn example application needs to do:\n  1. Import the lib `from qubolepystream.connector import QuboleConnector`\n  2. Set the api_token and instantiate the connection\n  `con = QuboleConnector(api_token='api_token')`\n  3. Use the query data method to run a job, specifying the input query, engine and cluster (or just job_id):\n  `data = con.query_data(sql_query=query, job_id=None, engine='Hive', cluster='Hive_cluster_name', verbose=False)`\n\n  Note:\n\n  a) Query can be passed as a raw string `query = r\"\"\"select * from table\"\"\"` or from a file: `query = open('query.sql').read()`\n\n  b) If `job_id = None` the query will be executed on the engine specified ('Hive' or 'Presto')\n\n  c) If `job_id = '123456'` then the results of the job will be retrieved (if job status is done)\n\n  d) You can use the optional method `verbose = True / False` to get streaming output or only status updates\n\n\n\n",
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