fix: enhance kakfa windowing for streams and enable avro kafka message format #20
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…ults for error collection - windowBy is not just a column name but a spark sql expression. This allows for more advanced selection of custom columns for windowing - Dataframe utils to prepare window and event timestamp columns are updated accordingly - Streamable virtual sources now allows to redefine windowBy column - Minor fixed related to error collection: when dumpSize is missing in target configuration then application level dumpSize value is used.
- enable Avro format for kafka key and value message columns - weaken configuration validation requirements for spark parameter strings (enable string with various separators including new lines) - add debug logging for schemas (both during schema reading and during sources reading) - fix merge strategy rules for assembling dependencies uber-jar - minor doc update reflecting avro support in kafka messages.
cibaa-team-user
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Dec 19, 2023
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Dec 20, 2023
## [1.1.1](v1.1.0...v1.1.1) (2023-12-20) ### Bug Fixes * enhance kakfa windowing for streams and enable avro kafka message format ([#20](#20)) ([a5e9827](a5e9827))
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🎉 This PR is included in version 1.1.1 🎉 The release is available on GitHub release Your semantic-release bot 📦🚀 |
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Major fixes:
Minor fixes: