Ms sql экспорт результата запроса в excel

Export SQL Data to Excel from Microsoft SQL Server

Let’s go over three ways to export an SQL Query to an Excel File Using MSSQL 

Despite the pushback from Database aficionados, sometimes it makes sense to export data from SQL to an Excel file. It really depends on who is the audience of the information. Not everyone is great with SQL Analysis. Few people require access to the database.

And lots of times the boss just needs to see the information in Excel.

So, if Excel is the Output required this article is here to help you Export SQL Queries to Excel. 

Here are three ways to Export a SQL query to Excel format. The last one can be kind of tricky. I’ll provide a condensed version followed by a detailed version with screenshots.

Three quick ways to Export SQL Data to Excel:

Choose the Summarized Version and then scroll to further down to use the SQL Export Version to Excel that works best for you. 

Educative

Method Number 1 – Copy Grid results and Paste into Excel

Under Query, Make sure results to Grid are selected.
After Running your query, right-click the top right corner of the grid.
Copy With Headers.
Paste into an Excel File

Possible Issues:
I’ve seen formatting issues with this strategy. For Example, there are situations where the spreadsheet drops preceding zeroes after the copy-paste.

I’ve also noticed lengthy fields, (think of a really long free text field) end up running into the next line.

For the reasons above, I prefer this next method for a clean Excel file.

Method Number 2: Export the Query Results as a Task

In the object explorer window, find the database you want to export from.
Right Click the Database, Click Tasks, and Export Data
The Wizard walks you through the rest of the steps but I have included screenshots below.

Method Number 3 – Use Good Old fashioned TSQL to send the data to an excel file

For those who value speed above all use the following script format.

INSERT INTO OPENROWSET(‘Microsoft.ACE.OLEDB.12.0′,’Excel 12.0; Database=C:SQL2019ReportsUsernames.xlsx;’,’SELECT * FROM [Sheet1$]’) SELECT DisplayName FROM dbo.Users Where Reputation > 2000

Possible Issues – Configuring this might not be your type of fun and getting this straight deserves its own article.

Step by Step instructions with screenshots

keepersecurity.com

Method Number 1 – Copy Grid results and paste into Excel

After ensuring results to grid turned on, Execute your query, right-click the top left-hand corner of the results grid.

Copy Grid results and paste into Excel

Choose Copy with Headers and then you are ready to paste in Excel with Ctrl + C

Headers

Method 2 – Export Via the Export Wizard

Right-click on the database you want to export from. Then Select tasks and “Export Data”.

Export Data

The SQL Server Wizard will startup. Click Next through the prompts.

SQL Server Wizard

Select the appropriate Native client, your server name, and database and choose “Next”.

server name and database

Next, Select Microsoft Excel and the file path where you want to import the data. The .xls file that you name will be created by this process.

Microsoft Excel

Now you can choose to export a whole table or a query. For the purpose of this exercise, we are creating a query.

creating a query

Paste the query into the SQL Statement field. Make sure every output field has a unique name.

SQL Statement

Click Next on the “Select Source Tables and Views” screen.

Select Source Tables

I use the default settings on the “conversion issues and data type mapping screen”

data type mapping screen

Now you can choose to Run immediately or Save an SSIS Package for later reuse.

SSIS Package

Double Check your settings and click finish.

Make sure there were no errors in the Export.

Export Wizard

Now Go to the directory you choose earlier and make sure you have a sweet-looking Excel File at that location!

Excel File

Method Number 3 – Use TSQL to send the data to an excel file

This method is the quickest once you get it set up but the configuration is the tricky part. Permissions can be a limiting factor.

Also with the script below, you have to make sure the file exists before you run the query for it to import properly.

First, create a blank excel file at the directory of your choosing.

C:SQL2019ReportsUsernames.xlsx

Then run this script below.

INSERT INTO OPENROWSET(‘Microsoft.ACE.OLEDB.12.0’,’Excel 12.0;
Database=C:SQL2019ReportsUsernames.xlsx;’,’SELECT * FROM [Sheet1$]’)
SELECT DisplayName FROM dbo.Users Where Reputation > 2000

Configuring this can be tricky and dependent on your level of permissions. Make sure you have the correct Linked Server/Provider installed (‘Microsoft.ACE.OLEDB.12.0’) And check your Database user settings to this server .

For anyone coming here looking for how to do this in C#, I have tried the following method and had success in dotnet core 2.0.3 and entity framework core 2.0.3

First create your model class.

public class User
{  
    public string Name { get; set; }  
    public int Address { get; set; }  
    public int ZIP { get; set; }  
    public string Gender { get; set; }  
} 

Then install EPPlus Nuget package. (I used version 4.0.5, probably will work for other versions as well.)

Install-Package EPPlus -Version 4.0.5

The create ExcelExportHelper class, which will contain the logic to convert dataset to Excel rows. This class do not have dependencies with your model class or dataset.

public class ExcelExportHelper
    {
        public static string ExcelContentType
        {
            get
            { return "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"; }
        }

        public static DataTable ListToDataTable<T>(List<T> data)
        {
            PropertyDescriptorCollection properties = TypeDescriptor.GetProperties(typeof(T));
            DataTable dataTable = new DataTable();

            for (int i = 0; i < properties.Count; i++)
            {
                PropertyDescriptor property = properties[i];
                dataTable.Columns.Add(property.Name, Nullable.GetUnderlyingType(property.PropertyType) ?? property.PropertyType);
            }

            object[] values = new object[properties.Count];
            foreach (T item in data)
            {
                for (int i = 0; i < values.Length; i++)
                {
                    values[i] = properties[i].GetValue(item);
                }

                dataTable.Rows.Add(values);
            }
            return dataTable;
        }

        public static byte[] ExportExcel(DataTable dataTable, string heading = "", bool showSrNo = false, params string[] columnsToTake)
        {

            byte[] result = null;
            using (ExcelPackage package = new ExcelPackage())
            {
                ExcelWorksheet workSheet = package.Workbook.Worksheets.Add(String.Format("{0} Data", heading));
                int startRowFrom = String.IsNullOrEmpty(heading) ? 1 : 3;

                if (showSrNo)
                {
                    DataColumn dataColumn = dataTable.Columns.Add("#", typeof(int));
                    dataColumn.SetOrdinal(0);
                    int index = 1;
                    foreach (DataRow item in dataTable.Rows)
                    {
                        item[0] = index;
                        index++;
                    }
                }


                // add the content into the Excel file  
                workSheet.Cells["A" + startRowFrom].LoadFromDataTable(dataTable, true);

                // autofit width of cells with small content  
                int columnIndex = 1;
                foreach (DataColumn column in dataTable.Columns)
                {
                    int maxLength;
                    ExcelRange columnCells = workSheet.Cells[workSheet.Dimension.Start.Row, columnIndex, workSheet.Dimension.End.Row, columnIndex];
                    try
                    {
                        maxLength = columnCells.Max(cell => cell.Value.ToString().Count());
                    }
                    catch (Exception) //nishanc
                    {
                        maxLength = columnCells.Max(cell => (cell.Value +"").ToString().Length);
                    }

                    //workSheet.Column(columnIndex).AutoFit();
                    if (maxLength < 150)
                    {
                        //workSheet.Column(columnIndex).AutoFit();
                    }


                    columnIndex++;
                }

                // format header - bold, yellow on black  
                using (ExcelRange r = workSheet.Cells[startRowFrom, 1, startRowFrom, dataTable.Columns.Count])
                {
                    r.Style.Font.Color.SetColor(System.Drawing.Color.White);
                    r.Style.Font.Bold = true;
                    r.Style.Fill.PatternType = OfficeOpenXml.Style.ExcelFillStyle.Solid;
                    r.Style.Fill.BackgroundColor.SetColor(Color.Brown);
                }

                // format cells - add borders  
                using (ExcelRange r = workSheet.Cells[startRowFrom + 1, 1, startRowFrom + dataTable.Rows.Count, dataTable.Columns.Count])
                {
                    r.Style.Border.Top.Style = ExcelBorderStyle.Thin;
                    r.Style.Border.Bottom.Style = ExcelBorderStyle.Thin;
                    r.Style.Border.Left.Style = ExcelBorderStyle.Thin;
                    r.Style.Border.Right.Style = ExcelBorderStyle.Thin;

                    r.Style.Border.Top.Color.SetColor(System.Drawing.Color.Black);
                    r.Style.Border.Bottom.Color.SetColor(System.Drawing.Color.Black);
                    r.Style.Border.Left.Color.SetColor(System.Drawing.Color.Black);
                    r.Style.Border.Right.Color.SetColor(System.Drawing.Color.Black);
                }

                // removed ignored columns  
                for (int i = dataTable.Columns.Count - 1; i >= 0; i--)
                {
                    if (i == 0 && showSrNo)
                    {
                        continue;
                    }
                    if (!columnsToTake.Contains(dataTable.Columns[i].ColumnName))
                    {
                        workSheet.DeleteColumn(i + 1);
                    }
                }

                if (!String.IsNullOrEmpty(heading))
                {
                    workSheet.Cells["A1"].Value = heading;
                   // workSheet.Cells["A1"].Style.Font.Size = 20;

                    workSheet.InsertColumn(1, 1);
                    workSheet.InsertRow(1, 1);
                    workSheet.Column(1).Width = 10;
                }

                result = package.GetAsByteArray();
            }

            return result;
        }

        public static byte[] ExportExcel<T>(List<T> data, string Heading = "", bool showSlno = false, params string[] ColumnsToTake)
        {
            return ExportExcel(ListToDataTable<T>(data), Heading, showSlno, ColumnsToTake);
        }
    }

Now add this method where you want to generate the excel file, probably for a method in the controller. You can pass parameters for your stored procedure as well. Note that the return type of the method is FileContentResult. Whatever query you execute, important thing is you must have the results in a List.

[HttpPost]
public async Task<FileContentResult> Create([Bind("Id,StartDate,EndDate")] GetReport getReport)
{
    DateTime startDate = getReport.StartDate;
    DateTime endDate = getReport.EndDate;

    // call the stored procedure and store dataset in a List.
    List<User> users = _context.Reports.FromSql("exec dbo.SP_GetEmpReport @start={0}, @end={1}", startDate, endDate).ToList();
    //set custome column names
    string[] columns = { "Name", "Address", "ZIP", "Gender"};
    byte[] filecontent = ExcelExportHelper.ExportExcel(users, "Users", true, columns);
    // set file name.
    return File(filecontent, ExcelExportHelper.ExcelContentType, "Report.xlsx"); 
}

More details can be found here

Сколько раз вам приходилось писать быстрый запрос в SQL Management Studio для кого-то, а затем экспортировать данные в Excel? Экспорт данных из SQL Server — это довольно длительный процесс, состоящий из нескольких этапов, но если вы сделаете это несколько раз, это неплохо.

Из сохранения результатов SQL-запроса в формате Excel или CSV я узнал, что лучше всего использовать мастер импорта и экспорта SQL, а не пытаться щелкнуть правой кнопкой мыши результаты и сохранить их.

экспорт sql в excel

Вы всегда можете щелкнуть правой кнопкой мыши и выбрать «Сохранить результаты как», однако полученный CSV-файл не будет содержать заголовков столбцов! Это королевская боль, если у вас есть 50 столбцов.

Чтобы правильно экспортировать данные SQL, щелкните правой кнопкой мыши базу данных (не таблицу) и выберите Задачи, Экспорт данных.

задачи экспорта данных

Далее вам нужно выбрать источник данных. Если вы щелкнули правой кнопкой мыши на имени базы данных, то все должно появиться автоматически.

выберите источник данных sql

Теперь вам нужно выбрать пункт назначения. Идите вперед и выберите Microsoft Excel из выпадающего списка. После этого вам нужно будет нажать кнопку «Обзор» и выбрать местоположение для выходного файла Excel. Также не забудьте установить флажок «У первой строки есть имена столбцов».

Данные SQL, чтобы преуспеть

Затем вы можете либо экспортировать всю таблицу / представление в Excel, либо написать собственный запрос. В моем случае я напишу конкретный запрос для данных, которые я хочу экспортировать.

экспортировать данные в Excel

Введите свой запрос и затем нажмите Parse, чтобы убедиться, что все правильно.

экспорт sql запроса

Наконец, нажмите Далее, а затем нажмите Готово. Ваши данные SQL будут выведены в файл Excel, и он будет также включать все заголовки столбцов! Наслаждайтесь!

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