Connecting to QDS Using SQLAlchemy-Qubole Package

Here is an example to connect to QDS and submit a Presto query:

# Qubole presto
from sqlalchemy import create_engine
engine = create_engine('qubole+presto://presto/presto_cluster?endpoint=https://api.qubole.com;password=********;catalog_name=hive')

with engine.connect() as con:
rs = con.execute('SHOW TABLES')
for row in rs:
print(row)

In the create_engine method, enter an SQLAlchemy URI to connect to QDS Presto or Hive. Below are the different Qubole dialects supported by SQLAlchemy:

• Presto Dialect: qubole+presto://presto/<cluster-label>?endpoint=<env>;password=<API-TOKEN>;catalog_name=hive (Qubole Dialect points to Presto by default.)

• Hive Dialect: qubole+hive://hive/<cluster-label>?endpoint=<env>;password=<API-TOKEN>

Note

While providing the dialects, replace <cluster-label>, <env> (Qubole environment), and <API-TOKEN> with their respective values.

You could add additional JDBC parameters and separate them with a semicolon(;). For more information on JDBC connection properties, see Setting the JDBC Connection String.