dbForge Data Pump のリリース
Released: Apr 12, 2024
V1.9.2 での更新項目
機能
- Added integration support for Microsoft SQL Server Management Studio (SSMS) 20.x.
Released: Dec 28, 2023
V1.8.30 での更新項目
不具合の修正
- Fixed an issue related to reading values of certain data types when importing XML data.
- Fixed an error that occurred when exporting data to Google Sheets.
- Fixed an error that occurred when opening an export template via ODBC.
Released: Jul 12, 2023
V1.8.27 での更新項目
機能
- Improved reading of JSON files, detection of NULL values and error handling within the Data Import feature.
不具合の修正
- Fixed a data loss issue that occurred during XML import.
Released: May 12, 2023
V1.8.21 での更新項目
不具合の修正
- Fixed a column mapping issue in Data Import.
- Fixed an issue with retrieving database object collection in Data Import.
- Fixed an error that occurred when calling the Data Import wizard.
Released: Dec 30, 2022
V1.8.15 での更新項目
機能
- Added Microsoft SQL Server Management Studio (SSMS) v19 Preview 4 integration.
不具合の修正
- Fixed the 'Connection must be opened' error.
Released: Sep 12, 2022
V1.8.13 での更新項目
機能
- Added connectivity support for Microsoft SQL Server 2022 CTP 2.1.
- Internal library updates.
Released: Jul 20, 2022
V1.8.10 での更新項目
機能
- Added support for Microsoft SQL Server Management Studio (SSMS) v19 Preview 2 integration.
不具合の修正
- Fixed loading issues for the SSMS and VS add-ins.
Released: Jun 17, 2022
V1.8.4 での更新項目
機能
- Internal library updates.
Released: Dec 21, 2021
V1.7.5 での更新項目
機能
- Improved behavior when sorting data in Data Editor.
- Added the ability to resize the search text field.
- Added a warning when trying to save read-only files with the applied changes.
不具合の修正
- Fixed a definition of columns and data for importing data from a JSON file in which JSON properties are missing.
- Fixed an issue with data export freezing on a database with a large quantity of objects.
- Fixed an issue with data import from the DBF format.
- Fixed an issue with data import through templates.
Released: Sep 10, 2021
V1.6.58 での更新項目
不具合の修正
- During data import, the values from default constraints for the columns of the target table were ignored.
- Fixed error during the data export through ODBC.