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                                            mucio

[FEATURE] Issue with `databricks_cluster` resource - `runtime_engine` field not supported

We ended up using `spark_version = 10.4.x-aarch64-photon-scala2.12`, but I think the provider should expose the `runtime_engine` field. It makes things simpler

[FEATURE] Issue with `databricks_cluster` resource - `runtime_engine` field not supported

It makes more sense if the `databricks_cluster` resource mirrors the documentation and the manual configuration that people can do in the UI (e.g. setting the specific runtime). Using the `databricks_node_type`...

[CT-403] [Feature] Allow programmatic access to macro properties

👍 on the "**UDF (but not only) management**, it is definitely a needed feature. I ended up on this thread because it is the most recent one on the topic...

Retry on transient errors

👍 on this issue, we are hitting this with Databricks too

Configure RedPanda Console to use the AWS Avro Serializer

Will it be possible to contribute to this repo adding this serializer?

ERROR — Could not generate the report - Error: Failed to run dbt command

Same error here, dbt 1.6.6 and Elementary 0.12.1

Fix for inconsistent Bigint/Long datatype that makes dbt think there was a schema change

@McKnight-42 sorry for the late reply, I will try to work on this today. BTW I reached out to the Databricks support and they told me that the problem is...

Fix for inconsistent Bigint/Long datatype that makes dbt think there was a schema change

@McKnight-42 @jtcohen6 sorry for being late, I finally found the time to fix this PR. I guess this will go in 1.2.0, not in 1.1.1

Fix for inconsistent Bigint/Long datatype that makes dbt think there was a schema change

@McKnight-42 I think I fixed it

Fix for inconsistent Bigint/Long datatype that makes dbt think there was a schema change

@McKnight-42 rebased and moved the fix description to 1.3. I hope I did it right