זוהי גרסה קודמת. הגרסה הנוכחית היא 8.13.6. Hackolade 8.13.6 · תאריך שחרור:
קובצי התקנה 8.4.3
| ארכיטקטורה | סוג | היקף התקנה | גודל קובץ | הורדה | SHA256 |
|---|---|---|---|---|---|
| 64 ביט | EXE (Inno Setup) | כל המשתמשים | 106.0 MB | s3-eu-west-1.amazonaws.com | VirusTotal |
הקישור וערך ה־SHA256 לקוחים מהמניפסט הקהילתי של Windows Package Manager. מומלץ להשוות את ערך ה־hash של הקובץ שהורד לפני הפעלתו.
הערות גרסה
- Command-Line Interface: added revEng command argument to use index columns in sort criteria for MongoDB reverse-engineering --useIndexInSort=< true | false >
- Custom props: allowed defaultValue property for non-complex custom properties for all modeling objects in native targets
- Documentation: improved robustness by ignoring empty custom tabs
- ERD: created adapter to render visible hidden entities linked to non-existent containers after erroneous user manipulation in Excel
- Excel: enhanced handling of numeric properties so that cleared numeric values in Excel are emptied in the model during reverse-engineering, if the model is not derived from polyglot
- Excel: added support for custom properties for view attributes that can have distinct values from their underlying referenced entity attributes
- PowerDesigner: added reverse-engineering of view technical names
- PowerDesigner: added mapping of data type timestamptz to "timestamp with time zone" when reverse-engineering into PostgreSQL models
- Views: enabled the creation of Views on existing View attributes that lack underlying reference, by extracting data type from SELECT statement
- Avro: resolved schema validation about default: null when resolving reference in model derived from polyglot
- Avro: used technical name of namespace references in schema generation
- Avro: avoid infinite spinner due to race condition when clicking on controls before schema has been generated
- EventBridge: enabled extensions on references
- Snowflake: improved robustness of forward-engineering with view attributes without underlying references
- Synapse: enabled the selection of a column as both an index column and a distribution column