Python interface to Hive and Presto. 🐝
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zdog234 and gsilk Removing unreleased thrift_sasl comment (#207)
Hello. I might be removing this prematurely, but `pip search thrift_sasl` now shows 0.3.0. Can this comment be removed?

Also, I filled out the Dropbox Contributor License.
Latest commit 8e07ca8 Jun 27, 2018



PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Presto and Hive.



from pyhive import presto  # or import hive
cursor = presto.connect('localhost').cursor()
cursor.execute('SELECT * FROM my_awesome_data LIMIT 10')
print cursor.fetchone()
print cursor.fetchall()

DB-API (asynchronous)

from pyhive import hive
from TCLIService.ttypes import TOperationState
cursor = hive.connect('localhost').cursor()
cursor.execute('SELECT * FROM my_awesome_data LIMIT 10', async=True)

status = cursor.poll().operationState
while status in (TOperationState.INITIALIZED_STATE, TOperationState.RUNNING_STATE):
    logs = cursor.fetch_logs()
    for message in logs:
        print message

    # If needed, an asynchronous query can be cancelled at any time with:
    # cursor.cancel()

    status = cursor.poll().operationState

print cursor.fetchall()


First install this package to register it with SQLAlchemy (see

from sqlalchemy import *
from sqlalchemy.engine import create_engine
from sqlalchemy.schema import *
# Presto
engine = create_engine('presto://localhost:8080/hive/default')
# Hive
engine = create_engine('hive://localhost:10000/default')
logs = Table('my_awesome_data', MetaData(bind=engine), autoload=True)
print select([func.count('*')], from_obj=logs).scalar()

Note: query generation functionality is not exhaustive or fully tested, but there should be no problem with raw SQL.

Passing session configuration

hive.connect('localhost', configuration={'hive.exec.reducers.max': '123'})
presto.connect('localhost', session_props={'query_max_run_time': '1234m'})
# SQLAlchemy
    connect_args={'protocol': 'https',
                  'session_props': {'query_max_run_time': '1234m'}}
    connect_args={'configuration': {'hive.exec.reducers.max': '123'}},
# SQLAlchemy with LDAP
    connect_args={'auth': 'LDAP'},


Install using

  • pip install pyhive[hive] for the Hive interface and
  • pip install pyhive[presto] for the Presto interface.

PyHive works with

  • Python 2.7 / Python 3
  • For Presto: Presto install
  • For Hive: HiveServer2 daemon




  • Please fill out the Dropbox Contributor License Agreement at and note this in your pull request.
  • Changes must come with tests, with the exception of trivial things like fixing comments. See .travis.yml for the test environment setup.
  • Notes on project scope:
    • This project is intended to be a minimal Hive/Presto client that does that one thing and nothing else. Features that can be implemented on top of PyHive, such integration with your favorite data analysis library, are likely out of scope.
    • We prefer having a small number of generic features over a large number of specialized, inflexible features. 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.


Run the following in an environment with Hive/Presto:

virtualenv --no-site-packages env
source env/bin/activate
pip install -e .
pip install -r dev_requirements.txt

WARNING: This drops/creates tables named one_row, one_row_complex, and many_rows, plus a database called pyhive_test_database.

Updating TCLIService

The TCLIService module is autogenerated using a TCLIService.thrift file. To update it, the file can be used: python <TCLIServiceURL>. When left blank, the version for Hive 2.3 will be downloaded.