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()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.
Requirements
Install using pip install pyhive[hive,presto].
Python 2.7
For Presto: Presto install
For Hive: HiveServer2 daemon
There’s also a third party Conda package.
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.
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