{
    "info": {
        "author": "laughingman7743",
        "author_email": "laughingman7743@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Java",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Database :: Front-Ends"
        ],
        "description": ".. image:: https://img.shields.io/pypi/pyversions/PyAthenaJDBC.svg\n    :target: https://pypi.python.org/pypi/PyAthenaJDBC/\n\n.. image:: https://travis-ci.org/laughingman7743/PyAthenaJDBC.svg?branch=master\n    :target: https://travis-ci.org/laughingman7743/PyAthenaJDBC\n\n.. image:: https://codecov.io/gh/laughingman7743/PyAthenaJDBC/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/laughingman7743/PyAthenaJDBC\n\n.. image:: https://img.shields.io/pypi/l/PyAthenaJDBC.svg\n    :target: https://github.com/laughingman7743/PyAthenaJDBC/blob/master/LICENSE\n\n.. image:: https://img.shields.io/pypi/dm/PyAthenaJDBC.svg\n    :target: https://pypistats.org/packages/pyathenajdbc\n\n\nPyAthenaJDBC\n============\n\nPyAthenaJDBC is a Python `DB API 2.0 (PEP 249)`_ compliant wrapper for `Amazon Athena JDBC driver`_.\n\n.. _`DB API 2.0 (PEP 249)`: https://www.python.org/dev/peps/pep-0249/\n.. _`Amazon Athena JDBC driver`: http://docs.aws.amazon.com/athena/latest/ug/connect-with-jdbc.html\n\nRequirements\n------------\n\n* Python\n\n  - CPython 2,7, 3,4, 3.5, 3.6, 3.7\n\n* Java\n\n  - Java >= 8 (JDBC 4.2)\n\nJDBC driver compatibility\n-------------------------\n\n+---------------+---------------------+-------------------------------------------------------------------------------+\n| Version       | JDBC driver version | Vendor                                                                        |\n+===============+=====================+===============================================================================+\n| < 2.0.0       | == 1.1.0            | AWS (Early released JDBC driver. It is incompatible with Simba's JDBC driver) |\n+---------------+---------------------+-------------------------------------------------------------------------------+\n| >= 2.0.0      | >= 2.0.5            | Simba                                                                         |\n+---------------+---------------------+-------------------------------------------------------------------------------+\n\nInstallation\n------------\n\n.. code:: bash\n\n    $ pip install PyAthenaJDBC\n\nExtra packages:\n\n+---------------+------------------------------------------+-----------------+\n| Package       | Install command                          | Version         |\n+===============+==========================================+=================+\n| Pandas        | ``pip install PyAthenaJDBC[Pandas]``     | >=0.19.0        |\n+---------------+------------------------------------------+-----------------+\n| SQLAlchemy    | ``pip install PyAthenaJDBC[SQLAlchemy]`` | >=1.0.0, <2.0.0 |\n+---------------+------------------------------------------+-----------------+\n\nUsage\n-----\n\nBasic usage\n~~~~~~~~~~~\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2')\n    try:\n        with conn.cursor() as cursor:\n            cursor.execute(\"\"\"\n            SELECT * FROM one_row\n            \"\"\")\n            print(cursor.description)\n            print(cursor.fetchall())\n    finally:\n        conn.close()\n\nCursor iteration\n~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2')\n    try:\n        with conn.cursor() as cursor:\n            cursor.execute(\"\"\"\n            SELECT * FROM many_rows LIMIT 10\n            \"\"\")\n            for row in cursor:\n                print(row)\n    finally:\n        conn.close()\n\nQuery with parameter\n~~~~~~~~~~~~~~~~~~~~\n\nSupported `DB API paramstyle`_ is only ``PyFormat``.\n``PyFormat`` only supports `named placeholders`_ with old ``%`` operator style and parameters specify dictionary format.\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2')\n    try:\n        with conn.cursor() as cursor:\n            cursor.execute(\"\"\"\n            SELECT col_string FROM one_row_complex\n            WHERE col_string = %(param)s\n            \"\"\", {'param': 'a string'})\n            print(cursor.fetchall())\n    finally:\n        conn.close()\n\nif ``%`` character is contained in your query, it must be escaped with ``%%`` like the following:\n\n.. code:: sql\n\n    SELECT col_string FROM one_row_complex\n    WHERE col_string = %(param)s OR col_string LIKE 'a%%'\n\n.. _`DB API paramstyle`: https://www.python.org/dev/peps/pep-0249/#paramstyle\n.. _`named placeholders`: https://pyformat.info/#named_placeholders\n\nJVM options\n~~~~~~~~~~~\n\nIn the connect method or connection object, you can specify JVM options with a string array.\n\nYou can increase the JVM heap size like the following:\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2',\n                   jvm_options=['-Xms1024m', '-Xmx4096m'])\n    try:\n        with conn.cursor() as cursor:\n            cursor.execute(\"\"\"\n            SELECT * FROM many_rows\n            \"\"\")\n            print(cursor.fetchall())\n    finally:\n        conn.close()\n\nJDBC 4.1\n~~~~~~~~\n\nIf you want to use JDBC 4.1, download the corresponding JDBC driver\nand specify the path of the downloaded JDBC driver as the argument ``driver_path`` of the connect method or connection object.\n\n* The `AthenaJDBC41-2.0.7.jar`_ is compatible with JDBC 4.1 and requires JDK 7.0 or later.\n\n.. _`AthenaJDBC41-2.0.7.jar`: https://s3.amazonaws.com/athena-downloads/drivers/JDBC/SimbaAthenaJDBC_2.0.7/AthenaJDBC41_2.0.7.jar\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2',\n                   driver_path='/path/to/AthenaJDBC41_2.0.7.jar')\n\nJDBC driver configuration options\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThe connect method or connection object pass keyword arguments as options to the JDBC driver.\nIf you want to change the behavior of the JDBC driver,\nspecify the option as a keyword argument in the connect method or connection object.\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2',\n                   LogPath='/path/to/pyathenajdbc/log/',\n                   LogLevel='6')\n\nFor details of the JDBC driver options refer to the official documentation.\n\n* `JDBC Driver Installation and Configuration Guide`_.\n\n.. _`JDBC Driver Installation and Configuration Guide`: https://s3.amazonaws.com/athena-downloads/drivers/JDBC/SimbaAthenaJDBC_2.0.7/docs/Simba+Athena+JDBC+Driver+Install+and+Configuration+Guide.pdf\n\nNOTE: Option names and values are case-sensitive. The option value is specified as a character string.\n\nSpecify the Query Results\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nIf you want to specify where athena stores the ``txt``/``cxv`` and ``txt.metadata``/``csv.metadata`` files containing the result of each query, you can specify it as follows:\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2',\n                   LogPath='/path/to/pyathenajdbc/log/',\n                   LogLevel='6',\n                   S3OutputLocation='s3://YOUR_S3_BUCKET/path/to/query_results/')\n\nFor details see the Athena Documentation:\n\n* `Athena Documentation on Query Results`_.\n\n.. _`Athena Documentation on Query Results`: https://docs.aws.amazon.com/athena/latest/ug/querying.html#default-location-query-results\n\n\nSQLAlchemy\n~~~~~~~~~~\n\nInstall SQLAlchemy with ``pip install SQLAlchemy>=1.0.0`` or ``pip install PyAthenaJDBC[SQLAlchemy]``.\nSupported SQLAlchemy is 1.0.0 or higher and less than 2.0.0.\n\n.. code:: python\n\n    import contextlib\n    from urllib.parse import quote_plus  # PY2: from urllib import quote_plus\n    from sqlalchemy.engine import create_engine\n    from sqlalchemy.sql.expression import select\n    from sqlalchemy.sql.functions import func\n    from sqlalchemy.sql.schema import Table, MetaData\n\n    conn_str = 'awsathena+jdbc://{access_key}:{secret_key}@athena.{region_name}.amazonaws.com:443/'\\\n               '{schema_name}?s3_staging_dir={s3_staging_dir}'\n    engine = create_engine(conn_str.format(\n        access_key=quote_plus('YOUR_ACCESS_KEY'),\n        secret_key=quote_plus('YOUR_SECRET_ACCESS_KEY'),\n        region_name='us-west-2',\n        schema_name='default',\n        s3_staging_dir=quote_plus('s3://YOUR_S3_BUCKET/path/to/')))\n    try:\n        with contextlib.closing(engine.connect()) as conn:\n            many_rows = Table('many_rows', MetaData(bind=engine), autoload=True)\n            print(select([func.count('*')], from_obj=many_rows).scalar())\n    finally:\n        engine.dispose()\n\nThe connection string has the following format:\n\n.. code:: python\n\n    awsathena+jdbc://{access_key}:{secret_key}@athena.{region_name}.amazonaws.com:443/{schema_name}?s3_staging_dir={s3_staging_dir}&driver_path={driver_path}&...\n\nIf you do not specify ``access_key`` and ``secret_key`` using instance profile or boto3 configuration file:\n\n.. code:: python\n\n    awsathena+jdbc://:@athena.{region_name}.amazonaws.com:443/{schema_name}?s3_staging_dir={s3_staging_dir}&driver_path={driver_path}&...\n\nNOTE: ``s3_staging_dir`` requires quote. If ``access_key``, ``secret_key`` and other parameter contain special characters, quote is also required.\n\nPandas\n~~~~~~\n\nMinimal example for Pandas DataFrame:\n\n.. code:: python\n\n    from pyathenajdbc import connect\n    import pandas as pd\n\n    conn = connect(access_key='YOUR_ACCESS_KEY_ID',\n                   secret_key='YOUR_SECRET_ACCESS_KEY',\n                   s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2',\n                   jvm_path='/path/to/jvm')  # optional, as used by JPype\n    df = pd.read_sql(\"SELECT * FROM many_rows LIMIT 10\", conn)\n\nAs Pandas DataFrame:\n\n.. code:: python\n\n    import contextlib\n    from pyathenajdbc import connect\n    from pyathenajdbc.util import as_pandas\n\n    with contextlib.closing(\n            connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/'\n                    region_name='us-west-2'))) as conn:\n        with conn.cursor() as cursor:\n            cursor.execute(\"\"\"\n            SELECT * FROM many_rows\n            \"\"\")\n            df = as_pandas(cursor)\n    print(df.describe())\n\nCredential\n----------\n\nSupport `AWS CLI credentials`_, `Properties file credentials`_ and `AWS credentials provider chain`_.\n\n.. _`AWS CLI credentials`: http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html\n.. _`Properties file credentials`: http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/com/amazonaws/auth/PropertiesFileCredentialsProvider.html\n.. _`AWS credentials provider chain`: http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/com/amazonaws/auth/DefaultAWSCredentialsProviderChain.html\n\nCredential files\n~~~~~~~~~~~~~~~~\n\n~/.aws/credentials\n\n.. code:: cfg\n\n    [default]\n    aws_access_key_id=YOUR_ACCESS_KEY_ID\n    aws_secret_access_key=YOUR_SECRET_ACCESS_KEY\n\n~/.aws/config\n\n.. code:: cfg\n\n    [default]\n    region=us-west-2\n    output=json\n\nEnvironment variables\n~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: bash\n\n    $ export AWS_ACCESS_KEY_ID=YOUR_ACCESS_KEY_ID\n    $ export AWS_SECRET_ACCESS_KEY=YOUR_SECRET_ACCESS_KEY\n    $ export AWS_DEFAULT_REGION=us-west-2\n\nAdditional environment variable:\n\n.. code:: bash\n\n    $ export AWS_ATHENA_S3_STAGING_DIR=s3://YOUR_S3_BUCKET/path/to/\n\nProperties file credentials\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCreate a property file of the following format.\n\n/path/to/AWSCredentials.properties\n\n.. code:: properties\n\n    accessKeyId:YOUR_ACCESS_KEY_ID\n    secretKey:YOUR_SECRET_ACCESS_KEY\n\nSpecify the property file path with ``credential_file`` of the connect method or connection object.\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(credential_file='/path/to/AWSCredentials.properties',\n                   s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2')\n\nPyAthenaJDBC uses the property file to authenticate Amazon Athena.\n\nAWS credentials provider chain\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nSee `AWS credentials provider chain`_\n\n    AWS credentials provider chain that looks for credentials in this order:\n\n        * Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY (RECOMMENDED since they are recognized by all the AWS SDKs and CLI except for .NET), or AWS_ACCESS_KEY and AWS_SECRET_KEY (only recognized by Java SDK)\n        * Java System Properties - aws.accessKeyId and aws.secretKey\n        * Credential profiles file at the default location (~/.aws/credentials) shared by all AWS SDKs and the AWS CLI\n        * Credentials delivered through the Amazon EC2 container service if AWS_CONTAINER_CREDENTIALS_RELATIVE_URI\" environment variable is set and security manager has permission to access the variable,\n        * Instance profile credentials delivered through the Amazon EC2 metadata service\n\nIn the connect method or connection object, you can connect by specifying at least ``s3_staging_dir`` and ``region_name``.\nIt is not necessary to specify ``access_key`` and ``secret_key``.\n\n.. code:: python\n\n    from pyathenajdbc import connect\n\n    conn = connect(s3_staging_dir='s3://YOUR_S3_BUCKET/path/to/',\n                   region_name='us-west-2')\n\n\nTesting\n-------\n\nDepends on the following environment variables:\n\n.. code:: bash\n\n    $ export AWS_ACCESS_KEY_ID=YOUR_ACCESS_KEY_ID\n    $ export AWS_SECRET_ACCESS_KEY=YOUR_SECRET_ACCESS_KEY\n    $ export AWS_DEFAULT_REGION=us-west-2\n    $ export AWS_ATHENA_S3_STAGING_DIR=s3://YOUR_S3_BUCKET/path/to/\n\nRun test\n~~~~~~~~\n\n.. code:: bash\n\n    $ pip install pipenv\n    $ pipenv install --dev\n    $ pipenv run scripts/test_data/upload_test_data.sh\n    $ pipenv run pytest\n    $ pipenv run scripts/test_data/delete_test_data.sh\n\nRun test multiple Python versions\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: bash\n\n    $ pip install pipenv\n    $ pipenv install --dev\n    $ pipenv run scripts/test_data/upload_test_data.sh\n    $ pyenv local 3.7.2 3.6.8 3.5.7 3.4.10 2.7.16\n    $ pipenv run tox\n    $ pipenv run scripts/test_data/delete_test_data.sh\n\nLicense\n-------\n\nThe license of all Python code except JDBC driver is `MIT license`_.\n\n.. _`MIT license`: LICENSE\n\nJDBC driver\n~~~~~~~~~~~\n\nFor the license of JDBC driver, please check the following link.\n\n* `JDBC driver release notes`_\n* `JDBC driver license`_\n* `JDBC driver notices`_\n* `JDBC driver third-party licenses`_\n\n.. _`JDBC driver release notes`: https://s3.amazonaws.com/athena-downloads/drivers/JDBC/SimbaAthenaJDBC_2.0.7/docs/release-notes.txt\n.. _`JDBC driver License`: https://s3.amazonaws.com/athena-downloads/drivers/JDBC/SimbaAthenaJDBC_2.0.7/docs/LICENSE.txt\n.. _`JDBC driver notices`: https://s3.amazonaws.com/athena-downloads/drivers/JDBC/SimbaAthenaJDBC_2.0.7/docs/NOTICES.txt\n.. _`JDBC driver third-party licenses`: https://s3.amazonaws.com/athena-downloads/drivers/JDBC/SimbaAthenaJDBC_2.0.7/docs/third-party-licenses.txt",
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