acryl-pyhive.json

{
  "classifiers": [
    "intended audience :: developers",
    "license :: osi approved :: apache software license",
    "operating system :: os independent",
    "topic :: database :: front-ends"
  ],
  "description": "python interface to hive\npython interface to hive\n.. image:: https://travis-ci.org/dropbox/pyhive.svg?branch=master\n    :target: https://travis-ci.org/dropbox/pyhive\n.. image:: https://img.shields.io/codecov/c/github/dropbox/pyhive.svg\n\n======\npyhive\n======\n\npyhive is a collection of python `db-api <http://www.python.org/dev/peps/pep-0249/>`_ and\n`sqlalchemy <http://www.sqlalchemy.org/>`_ interfaces for `presto <http://prestodb.io/>`_ and\n`hive <http://hive.apache.org/>`_.\n\nusage\n=====\n\ndb-api\n------\n.. code-block:: python\n\n    from pyhive import presto  # or import hive or import trino\n    cursor = presto.connect('localhost').cursor()\n    cursor.execute('select * from my_awesome_data limit 10')\n    print cursor.fetchone()\n    print cursor.fetchall()\n\ndb-api (asynchronous)\n---------------------\n.. code-block:: python\n\n    from pyhive import hive\n    from tcliservice.ttypes import toperationstate\n    cursor = hive.connect('localhost').cursor()\n    cursor.execute('select * from my_awesome_data limit 10', async=true)\n\n    status = cursor.poll().operationstate\n    while status in (toperationstate.initialized_state, toperationstate.running_state):\n        logs = cursor.fetch_logs()\n        for message in logs:\n            print message\n\n        # if needed, an asynchronous query can be cancelled at any time with:\n        # cursor.cancel()\n\n        status = cursor.poll().operationstate\n\n    print cursor.fetchall()\n\nin python 3.7 `async` became a keyword; you can use `async_` instead:\n\n.. code-block:: python\n\n    cursor.execute('select * from my_awesome_data limit 10', async_=true)\n\n\nsqlalchemy\n----------\nfirst install this package to register it with sqlalchemy (see ``setup.py``).\n\n.. code-block:: python\n\n    from sqlalchemy import *\n    from sqlalchemy.engine import create_engine\n    from sqlalchemy.schema import *\n    # presto\n    engine = create_engine('presto://localhost:8080/hive/default')\n    # trino\n    engine = create_engine('trino://localhost:8080/hive/default')\n    # hive\n    engine = create_engine('hive://localhost:10000/default')\n    logs = table('my_awesome_data', metadata(bind=engine), autoload=true)\n    print select([func.count('*')], from_obj=logs).scalar()\n\n    # hive + https + ldap or basic auth\n    engine = create_engine('hive+https://username:password@localhost:10000/')\n    logs = table('my_awesome_data', metadata(bind=engine), autoload=true)\n    print select([func.count('*')], from_obj=logs).scalar()\n\nnote: query generation functionality is not exhaustive or fully tested, but there should be no\nproblem with raw sql.\n\npassing session configuration\n-----------------------------\n\n.. code-block:: python\n\n    # db-api\n    hive.connect('localhost', configuration={'hive.exec.reducers.max': '123'})\n    presto.connect('localhost', session_props={'query_max_run_time': '1234m'})\n    trino.connect('localhost',  session_props={'query_max_run_time': '1234m'})\n    # sqlalchemy\n    create_engine(\n        'presto://user@host:443/hive',\n        connect_args={'protocol': 'https',\n                      'session_props': {'query_max_run_time': '1234m'}}\n    )\n    create_engine(\n        'trino://user@host:443/hive',\n        connect_args={'protocol': 'https',\n                      'session_props': {'query_max_run_time': '1234m'}}\n    )\n    create_engine(\n        'hive://user@host:10000/database',\n        connect_args={'configuration': {'hive.exec.reducers.max': '123'}},\n    )\n    # sqlalchemy with ldap\n    create_engine(\n        'hive://user:password@host:10000/database',\n        connect_args={'auth': 'ldap'},\n    )\n\nrequirements\n============\n\ninstall using\n\n- ``pip install 'pyhive[hive]'`` for the hive interface and\n- ``pip install 'pyhive[presto]'`` for the presto interface.\n- ``pip install 'pyhive[trino]'`` for the trino interface\n\npyhive works with\n\n- python 2.7 / python 3\n- for presto: presto install\n- for trino: trino install\n- for hive: `hiveserver2 <https://cwiki.apache.org/confluence/display/hive/setting+up+hiveserver2>`_ daemon\n\nchangelog\n=========\nsee https://github.com/dropbox/pyhive/releases.\n\ncontributing\n============\n- please fill out the dropbox contributor license agreement at https://opensource.dropbox.com/cla/ and note this in your pull request.\n- changes must come with tests, with the exception of trivial things like fixing comments. see .travis.yml for the test environment setup.\n- notes on project scope:\n\n  - this project is intended to be a minimal hive/presto client that does that one thing and nothing else.\n    features that can be implemented on top of pyhive, such integration with your favorite data analysis library, are likely out of scope.\n  - we prefer having a small number of generic features over a large number of specialized, inflexible features.\n    for example, the presto code takes an arbitrary ``requests_session`` argument for customizing http calls, as opposed to having a separate parameter/branch for each ``requests`` option.\n\ntesting\n=======\n.. image:: https://travis-ci.org/dropbox/pyhive.svg\n    :target: https://travis-ci.org/dropbox/pyhive\n.. image:: http://codecov.io/github/dropbox/pyhive/coverage.svg?branch=master\n    :target: http://codecov.io/github/dropbox/pyhive?branch=master\n\nrun the following in an environment with hive/presto::\n\n    ./scripts/make_test_tables.sh\n    virtualenv --no-site-packages env\n    source env/bin/activate\n    pip install -e .\n    pip install -r dev_requirements.txt\n    py.test\n\nwarning: this drops/creates tables named ``one_row``, ``one_row_complex``, and ``many_rows``, plus a\ndatabase called ``pyhive_test_database``.\n\nupdating tcliservice\n====================\n\nthe tcliservice module is autogenerated using a ``tcliservice.thrift`` file. to update it, the\n``generate.py`` file can be used: ``python generate.py <tcliserviceurl>``. when left blank, the\nversion for hive 2.3 will be downloaded.\n",
  "docs_url": null,
  "keywords": "",
  "license": "apache license, version 2.0",
  "name": "acryl-pyhive",
  "package_url": "https://pypi.org/project/acryl-PyHive/",
  "project_url": "https://pypi.org/project/acryl-PyHive/",
  "project_urls": {
    "Homepage": "https://github.com/acryldata/PyHive"
  },
  "release_url": "https://pypi.org/project/acryl-PyHive/0.6.16/",
  "requires_dist": [
    "future",
    "python-dateutil",
    "sasl3 >=0.2.11 ; extra == 'hive'",
    "thrift >=0.10.0 ; extra == 'hive'",
    "thrift-sasl >=0.1.0 ; extra == 'hive'",
    "pure-sasl >=0.6.2 ; extra == 'hive-pure-sasl'",
    "thrift >=0.10.0 ; extra == 'hive-pure-sasl'",
    "thrift-sasl >=0.1.0 ; extra == 'hive-pure-sasl'",
    "requests-kerberos >=0.12.0 ; extra == 'kerberos'",
    "requests >=1.0.0 ; extra == 'presto'",
    "sqlalchemy <1.4.0,>=1.3.0 ; extra == 'sqlalchemy'",
    "requests >=1.0.0 ; extra == 'trino'"
  ],
  "requires_python": "",
  "summary": "python interface to hive",
  "version": "0.6.16",
  "releases": [],
  "developers": [
    "acryl_data",
    "datahub@acryl.io"
  ],
  "kwds": "pyhive_test_database sqlalchemy python db prestodb",
  "license_kwds": "apache license, version 2.0",
  "libtype": "pypi",
  "id": "pypi_acryl_pyhive",
  "homepage": "https://github.com/acryldata/pyhive",
  "release_count": 16,
  "dependency_ids": [
    "pypi_future",
    "pypi_pure_sasl",
    "pypi_python_dateutil",
    "pypi_requests",
    "pypi_requests_kerberos",
    "pypi_sasl3",
    "pypi_sqlalchemy",
    "pypi_thrift",
    "pypi_thrift_sasl"
  ],
  "documentation_summary": "The HTML text introduces \"acryl-PyHive 0.6.16,\" a Python interface to Hive, released on November 28, 2023. It provides Python DB-API and SQLAlchemy interfaces for Presto and Hive, allowing users to execute SQL queries and fetch data. The package supports Python 2.7 and Python 3, and requires installations of Presto, Trino, or HiveServer2 daemon for functionality. It's licensed under the Apache Software License, Version 2.0, and is OS independent. The project encourages contributions, provided they come with tests and adhere to the project's scope of being a minimal Hive/Presto client. Installation instructions and usage examples for both synchronous and asynchronous queries are provided, along with SQLAlchemy integration details.",
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