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Troubleshoot data source connections

Last modified on 20-Nov-24

SSL certificate error
Snowflake proxy connection error
Spark DataFrame object error
ImportError during programmatic scan
Scan error with Soda Dask and Pandas
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SSL certificate error

Problem: You encounter an SSL certificate error while attempting to connect Soda to a data source.

Solution: Use pip install pip-system-certs to potentially resolve the issue. This install works to resolve the issue only on Windows machines where the Ops team installs all the certificates needed through Group Policy Objects, or similar.

Snowflake proxy connection error

Problem: While attempting to connect Soda to a Snowflake data source using proxy parameters, you encounter an error that reads something similar to Could not connect to data source "name_db": 250001 (08001): Failed to connect to DB: mydb.eu-west-1.snowflakecomputing.com:443. Incoming request with IP/Token xx.xxx.xx.xxx is not allowed to access Snowflake.

data_source: my_data_source
  type: snowflake
  ...
  session_param:
    QUERY_TAG: soda-test
    QUOTED_IDENTIFIERS_IGNORE_CASE: false
  proxy_http: http://a-proxy-o-dd-dddd-net:8000
  proxy_https: https://a-proxy-o-dd-dddd-net:8000

Solution: When connecting to a Snowflake data source by proxyy, be sure to set the new proxy environment variables from the command-line using export statements, as in the following example.

export HTTP_PROXY=http://a-proxy-o-dd-dddd-net:8000
export HTTPS_PROXY=https://a-proxy-o-dd-dddd-net:8000

Spark DataFrame object error

Problem: Using a Soda package for Spark df, you encounter an error that reads, ERROR | Error occurred while executing scan. | 'DataFrame' object has no attribute 'offset'.

Solution: Be sure to upgrade your version of PySpark to 3.4.0 or greater for compatibility with Soda packages.

ImportError during programmatic scan

Problem: When importing Soda scan, you get an error that reads, ImportError: cannot import name 'field_validator' from 'pydantic'....

Solution: This error typically emerges when your environment is using pydantic v1 instead of v2. Soda requires pydantic v2 to work and this is correctly set via installation requirements in the package, however Python allows you to override those requirements. Use pip list | grep "pydantic" to determine which version you are using and upgrade as necessary.


Scan error with Soda Dask and Pandas

Problem: You encounter errors when trying to install soda-pandas-dask in an environment that uses Python 3.11. This may manifest as an issue with dependencies or as an error that reads, Pre-scan validation failed, see logs for details.

Workaround: Uninstall the soda-pandas-dask package, then downgrade the version of Python your environment uses to Python 3.9. Install the soda-pandas-dask package again.


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Documentation always applies to the latest version of Soda products
Last modified on 20-Nov-24