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    IDwDataImporter.Import(string text, int startRow, int endRow, int startColumn, int endColumn) Method

    .NET Standard 2.x

    Imports data into the DataStore buffer with the specified DataFormat, and specifies the start and end positions of the rows and columns. Data outside this range will not be imported into the DataStore.

    Namespace: DWNet.Data

    Assembly: DWNet.Data.dll

    Syntax

    int Import(string text, int startRow, int endRow, int startColumn, int endColumn);
    

    Parameters

    text System.String

    Data string in the specified format.

    The JSON string must comply with the plain-format JSON or DataWindow JSON.

    startRow System.Int32

    The zero-based index number of the first row in the buffer that you want to export.

    endRow System.Int32

    The zero-based index number of the last row in the buffer that you want to export.

    If it is negative, it indicates the rest of rows.

    startColumn System.Int32

    The zero-based index number of the first column in the buffer that you want to export.

    endColumn System.Int32

    The zero-based index number of the last column in the buffer that you want to export.

    Returns

    System.Int32

    Returns the number of rows that were imported if it succeeds.

    Examples

    The following code example demonstrates how to import the department JSON string of the start row and end row and start column and end column into the DataStore.

    using DWNet.Data;
    using SnapObjects.Data;
    using System;
    using System.IO;
    
    namespace Appeon.ApiDoc.IDwDataImporterExamples
    {
        public class ImportExample
        {
            private readonly SchoolContext _context;
    
            public ImportExample(SchoolContext dataContext)
            {
                // Sets the data context
                _context = dataContext;
            }
    
            public void Example2()
            {
                // Instantiates the datastore with datawindow: d_department2.
                // d_department2 has no departmentID column
                var datastore = new DataStore("d_department2", _context);
    
                // Get DataStore importer in JSON format.
                var importer = datastore.GetDataImporter(DataFormat.Json);
    
                // Gets the JSON file,ExportPlainJson1.json contains 4 records.
                string path = Path.Combine(AppContext.BaseDirectory,
                                    @"Jsons\IDwDataExporter\ExportPlainJson1.json");
                string json = File.ReadAllText(path);
    
                // Imports data from JSON to the DataStore primary buffer
                // from row 1 through the end.
                // Imports data starting from column 2 and imports only one column, 
                // so only column 2 is imported.
                int row = importer.Import(json, 0, 3, 1, 1);
    
                Console.WriteLine("Import Row: {0}; Rowcount: {1}", row, datastore.RowCount);
    
                for (int i = 0; i < datastore.RowCount; i++)
                {
                    Console.WriteLine("Name: {0}; Budget: {1}",
                        datastore.GetItem<string>(i, "name"),
                        datastore.GetItem<decimal>(i, "budget"));
                }
    
                datastore.Reset();
    
                // Imports data from row 2 and 3 of the JSON string to the primary buffer
                // Imports data starting from column 2 and imports only one column. 
                // So column 1 will not be imported, and only column 2 is imported.
                row = importer.Import(json, DwBuffer.Primary, 1, 2, 1, 1);
    
                Console.WriteLine("Import Row: {0}; Rowcount: {1}", row, datastore.RowCount);
    
                for (int i = 0; i < datastore.RowCount; i++)
                {
                    Console.WriteLine("Name: {0}; Budget: {1}",
                        datastore.GetItem<string>(i, "name"),
                        datastore.GetItem<decimal>(i, "budget"));
                }
    
                /*This code produces the following output:
    
                Import Row: 4; Rowcount: 4
                Name: Engineering; Budget: 0
                Name: English; Budget: 0
                Name: Economics; Budget: 0
                Name: Mathematics; Budget: 0
    
                Import Row: 2; Rowcount: 2
                Name: English; Budget: 0
                Name: Economics; Budget: 0
               */
            }
        }
    }
    

    Example Refer To

    Model Class: D_Department2
    JSON File: ExportPlainJson1
    DataWindow File: d_department2

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