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impala connection via sqlalchemy

See original GitHub issue

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="",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.

Issue Analytics

  • State:open
  • Created 7 years ago
  • Comments:7

github_iconTop GitHub Comments

pyite1commented, Sep 28, 2016
import sqlalchemy
def conn():
    return connect(host='some_host', 
                             user=user, password=pwd,

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

you may or may not need some of those parameters

jrburriscommented, May 25, 2017

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

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