[BUG] KeyError: 'sparkConf' occurs when running a Databricks task without spark_conf#3263
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pingsutw merged 3 commits intoflyteorg:masterfrom Jun 6, 2025
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-e Signed-off-by: machichima <nary12321@gmail.com>
-e Signed-off-by: machichima <nary12321@gmail.com>
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machichima
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Jun 4, 2025
plugins/flytekit-airflow/setup.py
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| plugin_requires = [ | ||
| "apache-airflow<3.0.0", | ||
| "apache-airflow-providers-google<12.0.0", | ||
| "sqlalchemy-spanner!=1.12.0", |
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It's not in the scope of this PR, but adding this to make the airflow plugin CI pass
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…hout spark_conf (flyteorg#3263) Signed-off-by: machichima <nary12321@gmail.com> Signed-off-by: Atharva <atharvakulkarni172003@gmail.com>
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Tracking issue
Closes flyteorg/flyte#6471
Why are the changes needed?
Using Databricks connector without setting optional
spark_conffield will causeKeyError: 'sparkConf'What changes were proposed in this pull request?
If
sparkConfis empty, use{}How was this patch tested?
Added unit test for DatabricksV2 with and without
spark_confSetup process
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Summary by Bito
This pull request resolves a KeyError in Databricks tasks by using an empty dictionary when the optional spark_conf field is absent. It also includes unit tests for the new DatabricksV2 configuration to ensure functionality in both scenarios.