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Delta Datasets: Loosen up delta-spark
requirement
#808
Comments
It appears this may be to the update of the dependency names quoted below. I have updated dependencies to the PEP 685 compliant names and am testing. EDIT: I am able to get dependencies to resolve but this is still pinned to
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Thank you for bringing this up, @rwpurvis! This issue was actually discussed earlier in issue #571, but for some reasons, it wasn't implemented at that time. Would you be interested in making a pull request to address this? |
Yes, I can take it up. |
Looks like @felipemonroy beat me to it with #780! 🚀 |
Uh as discussed there, not quite. We'll need another bump. |
Opened #814 |
Fixed in #814 |
Description
Currently the
delta-base
dataset requiresdelta-spark~=1.2.1
which requires spark 3.2. This means that any databricks users are limited to spark 3.2. Can we loosen this requirement?Context
How has this bug affected you? What were you trying to accomplish?
databricks.ManagedTableDataset
in current projectSteps to Reproduce
pyspark>=3.3
kedro-datasets[databricks.ManagedTableDataset]
Expected Result
Able to use latest version of spark or delta lake
Your Environment
Include as many relevant details about the environment in which you experienced the bug:
pip show kedro
orkedro -V
): 0.19.3pip show kedro-airflow
): anypython -V
): 3.10The text was updated successfully, but these errors were encountered: