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        "author": "Yongjie Zhao",
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            "Environment :: Console",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
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        "description": ".. image:: https://img.shields.io/pypi/v/kylinpy.svg\n   :target: https://pypi.python.org/pypi/kylinpy\n\nApache Kylin Python Client Library\n==================================\nApache Kylin Python Client Library is a python-based Apache Kylin client.\n\nAny application that uses SQLAlchemy can now query Apache Kylin with this Apache Kylin dialect installed.\n\n\nInstallation\n------------\n\nThe easiest way to install Apache Kylin Python Client Library is to use pip::\n\n    pip install --upgrade kylinpy\n\nAlternatiely, you may install this library from local project path,\nYou are welcomed to also commit to this library::\n\n    git clone https://github.com/Kyligence/kylinpy.git\n    pip install -e kylinpy\n\nApache Kylin dialect for SQLAlchemy\n-----------------------------------\nAny application that uses SQLAlchemy can now query Apache Kylin with this Apache Kylin dialect installed. It is part of the Apache Kylin Python Client Library, so if you already installed this library in the previous step, you are ready to use. \n\nYou may use below template to build DSN to connect Apache Kylin::\n\n    kylin://<username>:<password>@<hostname>:<port>/<project>\n\n============================= ============================================\nDSN Field                         Default Value\n============================= ============================================\nusername\n----------------------------- --------------------------------------------\npassword\n----------------------------- --------------------------------------------\nhostname\n----------------------------- --------------------------------------------\nport                               7070\n----------------------------- --------------------------------------------\nproject\n============================= ============================================\n\n\nSQLAlchemy **create_engine** takes an argument **connect_args** which is an additional dictionary that will be passed to connect().\n\n\n============================= ============================================\nkey                              Default Value\n============================= ============================================\nis_ssl                           False\n----------------------------- --------------------------------------------\nprefix                           kylin/api\n----------------------------- --------------------------------------------\ntimeout(unit: seconds)           30\n----------------------------- --------------------------------------------\nunverified                       True\n----------------------------- --------------------------------------------\nversion                          v1\n----------------------------- --------------------------------------------\nis_pushdown                      False\n============================= ============================================\n\n\nFrom SQLAlchemy access Apache Kylin\n--------------------------------------\n::\n\n    $ python\n    >>> import sqlalchemy as sa\n    >>> kylin_engine = sa.create_engine('kylin://ADMIN:KYLIN@sandbox/learn_kylin', connect_args={'is_ssl': True, 'timeout': 60})\n    >>> results = kylin_engine.execute('SELECT count(*) FROM KYLIN_SALES')\n    >>> [e for e in results]\n    [(4953,)]\n    >>> kylin_engine.table_names()\n    [u'KYLIN_ACCOUNT',\n     u'KYLIN_CAL_DT',\n     u'KYLIN_CATEGORY_GROUPINGS',\n     u'KYLIN_COUNTRY',\n     u'KYLIN_SALES',\n     u'KYLIN_STREAMING_TABLE']\n\nFrom Pandas access Apache Kylin\n------------------------------------\n::\n\n   $ python\n    >>> import sqlalchemy as sa\n    >>> import pandas as pd\n    >>> kylin_engine = sa.create_engine('kylin://ADMIN:KYLIN@sandbox/learn_kylin', connect_args={'is_ssl': True, 'timeout': 60})\n    >>> sql = 'select * from kylin_sales limit 10'\n    >>> pd.read_sql(sql, kylin_engine)\n\n\nFrom Superset access Apache Kylin\n-------------------------------------\n\nNow you can configure the DSN in your application to establish the connection with Apache Kylin.\n\nFor example, you may install Apache Kylin Python Client Library in your Superset environment and configure connection to Apache Kylin in Superset\n\n.. image:: https://raw.githubusercontent.com/Kyligence/kylinpy/master/docs/picture/superset1.png\n\nthen you may be able to query Apache Kylin one table at a time from Superset\n\n.. image:: https://raw.githubusercontent.com/Kyligence/kylinpy/master/docs/picture/superset2.png\n\nyou may also be able to query detail data\n\n.. image:: https://raw.githubusercontent.com/Kyligence/kylinpy/master/docs/picture/superset3.png\n\nAlternatively, you may also be able to query multiple tables from Apache Kylin by using SQL Lab in Superset.\n\n.. image:: https://raw.githubusercontent.com/Kyligence/kylinpy/master/docs/picture/superset4.png",
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