Comments (4)
kthejoker
commented on May 18, 2024
Mostly leaving this issue here so we can test dbldatagen with UC clusters as soon as Python UDFs are supported there.
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ronanstokes-db
commented on May 18, 2024
There are 3 cluster modes available with UC enabled environments - "single user", "shared" and "no isolation shared".
The data generator works as expected with "single user" and "no isolation shared" clusters
See the following resource for a description on the cluster access modes:
https://docs.databricks.com/clusters/cluster-ui-preview.html
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ronanstokes-db
commented on May 18, 2024
This will not require any changes but will be noted in the readme
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ronanstokes-db
commented on May 18, 2024
Readme updated
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Related Issues (20)
- Typo in readme
- Improve speed and coverage of unit tests HOT 1
- Improve template text generator
- Cast exception when nested schema passed as input HOT 6
- Build fails due to changes to build runner 'ubuntu-latest'
- Setuptools need to include required packages for working with the library locally (outside of the databricks environment) HOT 2
- Improve build ordering dependencies
- Changed interim build labelling to comply with PEP 440 HOT 1
- DblDatagenerator causes global logger to issue messages twice in some circumstances HOT 9
- Allow precision and scale options to apply to any numeric type
- When generating array valued column generation spec, use different random seed for each element
- Support range of values for generating array valued columns
- ArrayType(StringType()) columns result in Null column, doesn't take values from `values` argument HOT 2
- Reference Previous Rows HOT 3
- Add support for constraints
- Add support for structured columns HOT 1
- How to set template and min,max value for a nested schema attribute HOT 1
- Document recommended Databricks runtime releases for Unity Catalog
- Using Databricks Labs Data Generator on Databricks Runtime 14.x
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