Feature/v0.0.10 #229
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Feature/v0.0.10 #229
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ravi-databricks
commented
Sep 12, 2025
ravi-databricks
commented
- Added support for CDC Multiple sequence cols PR
- Added custom function support for kafka and delta tables PR
- Update project overview and features tables in docs + readme
- Updated release note and change logs
Adding multiple col support for auto_cdc api
Added custom function support for kafka and delta tables
ganeshchand
reviewed
Sep 15, 2025
| sequence_by = cdc_apply_changes.sequence_by | ||
| if ',' in sequence_by: | ||
| sequence_cols = [col.strip() for col in sequence_by.split(',')] | ||
| sequence_by = struct(*sequence_cols) # Use struct() from pyspark.sql.functions |
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how do we guarantee consistent ordering of the sequencing columns. "col1, col2" vs. "col2, col1" are different structs and will have a different sorting and uniqueness logic.
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Yes! Code preserves the order exactly as provided:
- split(',') returns tokens in the original order
- struct(sequence_cols) builds the struct with fields in that same order
So "col1, col2" and "col2, col1" produce different structs, which is expected and will change sequencing semantics.
ganeshchand
requested changes
Sep 15, 2025
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