Python

pipelinewise-target-bigquery

Latest version: v1.4.1

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1.4.1

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- Fix: Instead of failing, use only the first 4 primary keys when clustering if more than 5 primary keys are defined by the tap stream's schema.

1.4.0

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- Refactoring code to make it easier to add improvements
- Support for microseconds
- Fixes for date fields
- Support for ACTIVATE_VERSION
- Fixes for clustering when to Primary Key present

1.3.1

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- Fix for taps not sending the `time_extracted` field

1.3.0

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- Add `hard_delete_mapping` for switching specific streams
- Add `batch_wait_limit_seconds` config
- Fix nested keys issue
- bump multiple dependencies

1.2.0

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- Allow `REPEATED` fields of type `RECORD` to be created.
- bump pylint

1.1.2

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- bump joblib to 1.1.0 to fix issue https://github.com/transferwise/pipelinewise-target-bigquery/issues/7
- bump test dependencies
- remove unused code

1.1.1

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- Minor internal bugfixes

1.1.0

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- Add location BigQuery configuration
- Fix for reserved table names
- Fix for bad decimals
- Improved logging of bad data
- Refactor code to make it more similar to other taps
- Truncate big numbers to the maximum range for NUMERIC in BigQuery
- Fix an issue when loading table names with reserved keywords

1.0.1

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- Fixed an issue when the source tap can include uppercase primary keys

1.0.0

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- Initial release

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