July 2023 |
17.00.00.04 |
- Updated minimum required version of dependent R package teradatasql and dplyr;
- Changed the VAL function default database from SYSLIB to VAL;
- Removed the limitation "window_order() for row_number() and cumsum() Functions Does not Populate correct 'ORDER BY' Clause’.
- Updated example in print.sqlmr.query with Analytics Database analytic function.
- Added deprecation note to the Model Cataloging section.
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May 2023 |
17.00.00.03 |
- Updated minimum required version of dependent R package dbplyr;
- Added new General Function: show_query() and attach_attributes();
- Added new limitations for tbl object;
- Added new limitation for window_order().
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August 2022 |
17.00.00.02 |
- Moved ML Engine specific settings and examples to a separate section at the end of this guide.
- Moved Model Cataloging to the end of this guide.
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May 2022 |
17.00.00.02 |
- Added new option and examples to td_fastexport();
- Added new function td_to_csv();
- Updated td_pmml_predict_sqle() for BYOM feature.
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July 2021 |
17.00.00.01 |
- Added Bring Your Own Model;
- Added Sandbox Container Utility;
- Added Context to Teradata Vantage;
- Updated Extracting Data into R Data Frame from a tibble, to include new section for td_fastexport();
- Added new Configuration Options and Display Options;
- Added argument list for td_test_script(), including list of logon mechanisms.
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November 2020 |
17.00.00.00 |
Updated tdplyr installation steps to address the incompatibility issue with dbplyr 2.0.0. |
September 2020 |
17.00.00.00 |
- Added Time Series Aggregates;
- Added Script() and related functions;
- Added Model Cataloging;
- Updated Limitations and Considerations;
- Added Using tdplyr with Native Object Store;
- Added support of using JWT logon mechanism and stored password protection feature when creating connections;
- Updated usage of copy_to() and added usage of td_fastload();
- Added tdplyr Options including configuration options and display options.
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