Ini adalah aplikasi Linux bernama DataSet Serialize untuk Delphi dan Lazarus, yang rilis terbarunya dapat diunduh sebagai Releasev.2.6.6sourcecode.tar.gz. Aplikasi ini dapat dijalankan secara daring di penyedia hosting gratis OnWorks untuk workstation.
Download and run online this app named DataSet Serialize for Delphi and Lazarus with OnWorks for free.
Ikuti petunjuk ini untuk menjalankan aplikasi ini:
- 1. Download aplikasi ini di PC Anda.
- 2. Masuk ke file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan username yang anda inginkan.
- 3. Upload aplikasi ini di filemanager tersebut.
- 4. Jalankan emulator online OnWorks Linux atau Windows online atau emulator online MACOS dari situs web ini.
- 5. Dari OS Linux OnWorks yang baru saja Anda mulai, buka file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan nama pengguna yang Anda inginkan.
- 6. Download aplikasinya, install dan jalankan.
Tangkapan layar
Ad
Serialisasi DataSet untuk Delphi dan Lazarus
DESKRIPSI
DataSet Serialize is a set of features to make working with JSON and DataSet simple. It has features such as exporting or importing records into a DataSet, validate if JSON has all required attributes (previously entered in the DataSet), exporting or importing the structure of DataSet fields in JSON format. In addition to managing nested JSON through master detail or using TDataSetField (you choose the way that suits you best). All this using class helpers, which makes it even simpler and easier to use.
Fitur
- DataSet to JSON
- If the DataSet is empty or not assigned, a blank JSON object ({}) will be returned
- All child records will be exported as a JSONArray
- When a JSON array is created to represent a nested JSON using Master Detail, the DataSet name will be the name of the generated JSON attribute
- All features offered by DataSet Serialize are located in the class helper in unit DataSet.Serialize
- Save and load structure
Bahasa Pemrograman
Pascal
KATEGORI
This is an application that can also be fetched from https://sourceforge.net/projects/dataset-serialize.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
