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$ pip show snowflake-sqlalchemy | grep -i version
Version: 1.2.5
License: Apache License, Version 2.0
$ pip show sqlalchemy | grep -i version
Version: 1.3.24
$ pip show apache-superset | grep -i version
Version: 1.2.0
License: Apache License, Version 2.0
The text was updated successfully, but these errors were encountered:
For those trying to deploy this on Kubernetes I found the "right mix" of dependencies that lets me create Snowflake datasources. Here's what my bootstrapScript block looks like:
bootstrapScript: |
#!/bin/bash
pip install 'psycopg2==2.8.5' \
redis==3.2.1 \
snowflake-sqlalchemy==1.2.4 \
authlib==1.0.1 && \
if [ ! -f ~/bootstrap ]; then echo "Running Superset with uid {{ .Values.runAsUser }}" > ~/bootstrap; fi
I also got this to work locally by including these lines in my ./docker/requirements-local.txt file in the apache/superset repository:
psycopg2==2.8.5
snowflake-sqlalchemy==1.2.4
Note that this worked with superset versions 1.4.1, 1.4.2 and 1.5.0
I receive the error below when I test the connection from superset to snowflake.
"ERROR: Could not load database driver: SnowflakeEngineSpec"
URI used: snowflake://username:password@acct.ca-central-1.aws/DB_NAME
$ pip show snowflake-sqlalchemy | grep -i version
Version: 1.2.5
License: Apache License, Version 2.0
$ pip show sqlalchemy | grep -i version
Version: 1.3.24
$ pip show apache-superset | grep -i version
Version: 1.2.0
License: Apache License, Version 2.0
The text was updated successfully, but these errors were encountered: