impala connection via sqlalchemy

I’m new to hadoop and impala. After many days, I’ve managed to connect to using

from impala.dbapi import connect from impala.util import as_pandas conn = connect(host="server.lrd..com",port=21050, database='tcad',auth_mechanism='PLAIN', user="alexcj", use_ssl=True,timeout=20, password="secret1pass")

cursor = conn.cursor() cursor.execute('SELECT * FROM bom_2014_m LIMIT 10') df = as_pandas(cursor)

Basically, I’m finally able to connect, query and create a dataframe from returned results.

Now, how do I connect to impala with sqlalchemy? I’ve seen

engine = create_engine('impala://localhost') in the test files but my connection string has whole lot more parameters than the host. How do I pass all my parameters above to create_engine? I’m designing a backend api with flask that will query from impala so this step is important. If you’re familiar with flask-sqlalchemy, I’d like to know exactly what to pass to SQLALCHEMY_DATABASE_URI . If not, I’m willing to use sqlalchemy’s declarative extension hence this question. Thanks.

[pyite1]

import sqlalchemy
def conn():
    return connect(host='some_host', 
                             port=21050,
                             database='default',
                             timeout=20,
                             use_ssl=True,
                             ca_cert='some_pem',
                             user=user, password=pwd,
                             auth_mechanism='PLAIN')

engine = sqlalchemy.create_engine('impala://', creator=conn)

you may or may not need some of those parameters

[jrburris]

Does anyone know what is needed to connect to impala if we are using Kerberos?