sqlalchemy-databricks
Advanced tools
A SQLAlchemy Dialect for Databricks workspace and sql analytics clusters using the officially supported databricks-sql-connector dbapi.
Install using pip.
pip install sqlalchemy-databricks
Installing registers the databricks+connector dialect/driver with SQLAlchemy. Fill in the required information when passing the engine URL. The http path can be for either a workspace or sql analytics cluster.
from sqlalchemy import *
from sqlalchemy.engine import create_engine
engine = create_engine(
"databricks+connector://token:<databricks_token>@<databricks_host>:443/<database_or_schema_name>",
connect_args={
"http_path": "<cluster_http_path>",
},
)
logs = Table("my_table", MetaData(bind=engine), autoload=True)
print(select([func.count("*")], from_obj=logs).scalar())
FAQs
SQLAlchemy Dialect for Databricks
We found that sqlalchemy-databricks demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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