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Pre-Release 1.9.0 #300
Pre-Release 1.9.0 #300
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…ion error message
…e-prejoined-object
https://github.com/ScalefreeCOM/datavault4dbt into 181-modify-macros-to-directly-work-with-yaml-metadata
…prejoin_column_names change extract_input_columns to handle the new prejoin list syntax. change process_prejoined_columns to parse the old dict syntax to the new list syntax, merging prejoins with the same conditions. add extract_prejoin_column_names which can handle the new list syntax
…tract_prejoin_column_names
…ing of commas for ghost records
add hashing datatype fix for sha1 on databricks also for multi-active hash standardization
…except synapse and fabric
…-object' into test
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Link to workflow summary: https://github.com/ScalefreeCOM/datavault4dbt-ci-cd/actions/runs/12693436631 RESULTS for Synapse: RESULTS for Postgres: RESULTS for BigQuery: RESULTS for Redshift: RESULTS for Snowflake: RESULTS for Exasol: RESULTS for Fabric: RESULTS for Oracle: RESULTS for Databricks: |
Bugfixes
New Features
Resolves [FEATURE] Extract multiple columns from one prejoined object
More information about the syntax and an example here: 287 feature extract multiple columns from one prejoined object #297
Modify macros to directly work with yaml metadata:
Instead of having to use
{%- set metadata_dict = fromyaml(yaml_metadata) -%}
and then calling the macros with e.g.source_model=metadata_dict.get('source_model')
for each parameter, it is now possible to define theyaml_metadata
and directly pass it as parameter like so: ^Type of change
Please delete options that are not relevant.
Checklist: