Troubleshooting
Use the information provided here to help you resolve issues with GX OSS.
My Expectation Suite is not generating Expectations
This issue is typically caused when an Expectation fails and discard_failed_expectations is set to True. To resolve this issue, set discard_failed_expectations to False when using validator.save_expectation_suite. For example, validator.save_expectation_suite(discard_failed_expectations= False).
Why did a specific Expectation fail?
See Identify failed rows in an Expectation.
How can I improve Validation performance with a large Data Asset?
Use Batches and Spark. See Request data from a Data Asset and Connect to in-memory Data Assets - Spark.
I'm experiencing issues with my Expectations and Data Sources after upgrading GX OSS
Confirm you're using Fluent Data Sources and you have installed the latest version of GX OSS. If you're using data connectors, or importing RuntimeBatchRequest or BatchRequest methods, it's likely you're using an outdated version of GX OSS.
Run the following command to determine the version of GX OSS you currently have installed:
great_expectations --version
If the GX OSS version is earlier than the latest GX OSS version displayed in the drop-down list next to the Great Expectations logo at the top of the page, run the following code to upgrade GX OSS:
pip install great_expectations --upgrade
How do I adjust the timezone and regional settings in my Data Docs?
Unfortunately, these settings can't be adjusted. GX uses your computer settings to determine the time value.