PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Presto and Hive.
Usage
DB-API
from pyhive import presto
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()SQLAlchemy
First install this package to register it with SQLAlchemy (see setup.py).
from sqlalchemy import *
from sqlalchemy.engine import create_engine
from sqlalchemy.schema import *
engine = create_engine('presto://localhost:8080/hive/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
# DB-API
hive.connect('localhost', configuration={'hive.exec.reducers.max': '123'})
presto.connect('localhost', session_props={'query_max_run_time': '1234m'})
# SQLAlchemy
create_engine(
'hive://user@host:10000/database',
connect_args={'configuration': {'hive.exec.reducers.max': '123'}},
)Requirements
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
There’s also a third party Conda package.
Changelog
Contributing
Please fill out the Dropbox Contributor License Agreement at https://opensource.dropbox.com/cla/ 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.
Testing
Run the following in an environment with Hive/Presto:
./scripts/make_test_tables.sh virtualenv --no-site-packages env source env/bin/activate pip install -e . pip install -r dev_requirements.txt py.test
WARNING: This drops/creates tables named one_row, one_row_complex, and many_rows, plus a database called pyhive_test_database.
4 maintainers
Metadata
4 maintainers
Release files for PyHive 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| PyHive-0.3.0.tar.gz | 44.2 kB | Details |
Release files / PyHive-0.3.0.tar.gz
| Download URL | PyHive-0.3.0.tar.gz |
|---|---|
| Size | 44.2 kB |
| Tags | Source |
|
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