Importing data from excel to sql server

title description author ms.author ms.date ms.service ms.subservice ms.topic monikerRange

Import data from Excel to SQL Server or Azure SQL Database

This article describes methods to import data from Excel to SQL Server or Azure SQL Database. Some use a single step, others require an intermediate text file.

rwestMSFT

randolphwest

03/30/2023

sql

data-movement

conceptual

=azuresqldb-current||>=sql-server-2016||>=sql-server-linux-2017||=azuresqldb-mi-current

Import data from Excel to SQL Server or Azure SQL Database

[!INCLUDE SQL Server Azure SQL Database]

There are several ways to import data from Excel files to [!INCLUDE ssnoversion-md] or to Azure SQL Database. Some methods let you import data in a single step directly from Excel files; other methods require you to export your Excel data as text (CSV file) before you can import it.

This article summarizes the frequently used methods and provides links for more detailed information. A complete description of complex tools and services like SSIS or Azure Data Factory is beyond the scope of this article. To learn more about the solution that interests you, follow the provided links.

List of methods

There are several ways to import data from Excel. You may need to install SQL Server Management Studio (SSMS) to use some of these tools.

You can use the following tools to import data from Excel:

Export to text first ([!INCLUDE ssnoversion-md] and SQL Database) Directly from Excel ([!INCLUDE ssnoversion-md] on-premises only)
Import Flat File Wizard SQL Server Import and Export Wizard
BULK INSERT statement SQL Server Integration Services (SSIS)
BCP OPENROWSET function
Copy Wizard (Azure Data Factory)
Azure Data Factory

If you want to import multiple worksheets from an Excel workbook, you typically have to run any of these tools once for each sheet.

[!IMPORTANT]
To learn more, see limitations and known issues for loading data to or from Excel files.

Import and Export Wizard

Import data directly from Excel files by using the [!INCLUDE ssnoversion-md] Import and Export Wizard. You also can save the settings as a SQL Server Integration Services (SSIS) package that you can customize and reuse later.

  1. In [!INCLUDEssManStudioFull], connect to an instance of the [!INCLUDEssNoVersion] [!INCLUDEssDE].

  2. Expand Databases.

  3. Right-click a database.

  4. Select Tasks.

  5. Choose to Import Data or Export Data:

    :::image type=»content» source=»../../integration-services/import-export-data/media/start-wizard-ssms.jpg» alt-text=»Start wizard SSMS»:::

This launches the wizard:

:::image type=»content» source=»media/excel-connection.png» alt-text=»Connect to an Excel data source»:::

To learn more, review:

  • Start the SQL Server Import and Export Wizard
  • Get started with this simple example of the Import and Export Wizard

Integration Services (SSIS)

If you’re familiar with SQL Server Integration Services (SSIS) and don’t want to run the [!INCLUDE ssnoversion-md] Import and Export Wizard, create an SSIS package that uses the Excel Source and the [!INCLUDE ssnoversion-md] Destination in the data flow.

To learn more, review:

  • Excel Source
  • SQL Server Destination

To start learning how to build SSIS packages, see the tutorial How to Create an ETL Package.

:::image type=»content» source=»media/excel-to-sql-data-flow.png» alt-text=»Components in the data flow»:::

OPENROWSET and linked servers

[!IMPORTANT]
In Azure SQL Database, you cannot import directly from Excel. You must first export the data to a text (CSV) file.

[!NOTE]
The ACE provider (formerly the Jet provider) that connects to Excel data sources is intended for interactive client-side use. If you use the ACE provider on [!INCLUDE ssnoversion-md], especially in automated processes or processes running in parallel, you may see unexpected results.

Distributed queries

Import data directly into [!INCLUDE ssnoversion-md] from Excel files by using the Transact-SQL OPENROWSET or OPENDATASOURCE function. This usage is called a distributed query.

[!IMPORTANT]
In Azure SQL Database, you cannot import directly from Excel. You must first export the data to a text (CSV) file.

Before you can run a distributed query, you have to enable the ad hoc distributed queries server configuration option, as shown in the following example. For more info, see ad hoc distributed queries Server Configuration Option.

sp_configure 'show advanced options', 1;
RECONFIGURE;
GO
sp_configure 'ad hoc distributed queries', 1;
RECONFIGURE;
GO

The following code sample uses OPENROWSET to import the data from the Excel Sheet1 worksheet into a new database table.

USE ImportFromExcel;
GO
SELECT * INTO Data_dq
FROM OPENROWSET('Microsoft.ACE.OLEDB.12.0',
    'Excel 12.0; Database=C:TempData.xlsx', [Sheet1$]);
GO

Here’s the same example with OPENDATASOURCE.

USE ImportFromExcel;
GO
SELECT * INTO Data_dq
FROM OPENDATASOURCE('Microsoft.ACE.OLEDB.12.0',
    'Data Source=C:TempData.xlsx;Extended Properties=Excel 12.0')...[Sheet1$];
GO

To append the imported data to an existing table instead of creating a new table, use the INSERT INTO ... SELECT ... FROM ... syntax instead of the SELECT ... INTO ... FROM ... syntax used in the preceding examples.

To query the Excel data without importing it, just use the standard SELECT ... FROM ... syntax.

For more info about distributed queries, see the following articles:

  • Distributed Queries (Distributed queries are still supported in [!INCLUDE sssql19-md], but the documentation for this feature hasn’t been updated.)
  • OPENROWSET
  • OPENDATASOURCE

Linked servers

You can also configure a persistent connection from [!INCLUDE ssnoversion-md] to the Excel file as a linked server. The following example imports the data from the Data worksheet on the existing Excel linked server EXCELLINK into a new [!INCLUDE ssnoversion-md] database table named Data_ls.

USE ImportFromExcel;
GO
SELECT * INTO Data_ls FROM EXCELLINK...[Data$];
GO

You can create a linked server from SQL Server Management Studio (SSMS), or by running the system stored procedure sp_addlinkedserver, as shown in the following example.

DECLARE @RC INT;
DECLARE @server NVARCHAR(128);
DECLARE @srvproduct NVARCHAR(128);
DECLARE @provider NVARCHAR(128);
DECLARE @datasrc NVARCHAR(4000);
DECLARE @location NVARCHAR(4000);
DECLARE @provstr NVARCHAR(4000);
DECLARE @catalog NVARCHAR(128);

-- Set parameter values
SET @server = 'EXCELLINK';
SET @srvproduct = 'Excel';
SET @provider = 'Microsoft.ACE.OLEDB.12.0';
SET @datasrc = 'C:TempData.xlsx';
SET @provstr = 'Excel 12.0';

EXEC @RC = [master].[dbo].[sp_addlinkedserver] @server,
    @srvproduct,
    @provider,
    @datasrc,
    @location,
    @provstr,
    @catalog;

For more info about linked servers, see the following articles:

  • Create Linked Servers
  • OPENQUERY

For more examples and info about both linked servers and distributed queries, see the following article:

  • How to use Excel with SQL Server linked servers and distributed queries

Prerequisite — Save Excel data as text

To use the rest of the methods described on this page — the BULK INSERT statement, the BCP tool, or Azure Data Factory — first you have to export your Excel data to a text file.

In Excel, select File | Save As and then select Text (Tab-delimited) (*.txt) or CSV (Comma-delimited) (*.csv) as the destination file type.

If you want to export multiple worksheets from the workbook, select each sheet, and then repeat this procedure. The Save as command exports only the active sheet.

[!TIP]
For best results with data importing tools, save sheets that contain only the column headers and the rows of data. If the saved data contains page titles, blank lines, notes, and so forth, you may see unexpected results later when you import the data.

The Import Flat File Wizard

Import data saved as text files by stepping through the pages of the Import Flat File Wizard.

As described previously in the Prerequisite section, you have to export your Excel data as text before you can use the Import Flat File Wizard to import it.

For more info about the Import Flat File Wizard, see Import Flat File to SQL Wizard.

BULK INSERT command

BULK INSERT is a Transact-SQL command that you can run from SQL Server Management Studio. The following example loads the data from the Data.csv comma-delimited file into an existing database table.

As described previously in the Prerequisite section, you have to export your Excel data as text before you can use BULK INSERT to import it. BULK INSERT can’t read Excel files directly. With the BULK INSERT command, you can import a CSV file that is stored locally or in Azure Blob storage.

USE ImportFromExcel;
GO
BULK INSERT Data_bi FROM 'C:Tempdata.csv'
   WITH (
      FIELDTERMINATOR = ',',
      ROWTERMINATOR = 'n'
);
GO

For more info and examples for [!INCLUDE ssnoversion-md] and SQL Database, see the following articles:

  • Import Bulk Data by Using BULK INSERT or OPENROWSET(BULK…)
  • BULK INSERT

BCP tool

BCP is a program that you run from the command prompt. The following example loads the data from the Data.csv comma-delimited file into the existing Data_bcp database table.

As described previously in the Prerequisite section, you have to export your Excel data as text before you can use BCP to import it. BCP can’t read Excel files directly. Use to import into [!INCLUDE ssnoversion-md] or SQL Database from a test (CSV) file saved to local storage.

[!IMPORTANT]
For a text (CSV) file stored in Azure Blob storage, use BULK INSERT or OPENROWSET. For an examples, see Example.

bcp.exe ImportFromExcel..Data_bcp in "C:Tempdata.csv" -T -c -t ,

For more info about BCP, see the following articles:

  • Import and Export Bulk Data by Using the bcp Utility
  • bcp Utility
  • Prepare Data for Bulk Export or Import

Copy Wizard (ADF)

Import data saved as text files by stepping through the pages of the Azure Data Factory (ADF) Copy Wizard.

As described previously in the Prerequisite section, you have to export your Excel data as text before you can use Azure Data Factory to import it. Data Factory can’t read Excel files directly.

For more info about the Copy Wizard, see the following articles:

  • Data Factory Copy Wizard
  • Tutorial: Create a pipeline with Copy Activity using Data Factory Copy Wizard.

Azure Data Factory

If you’re familiar with Azure Data Factory and don’t want to run the Copy Wizard, create a pipeline with a Copy activity that copies from the text file to [!INCLUDE ssnoversion-md] or to Azure SQL Database.

As described previously in the Prerequisite section, you have to export your Excel data as text before you can use Azure Data Factory to import it. Data Factory can’t read Excel files directly.

For more info about using these Data Factory sources and sinks, see the following articles:

  • File system
  • SQL Server
  • Azure SQL Database

To start learning how to copy data with Azure data factory, see the following articles:

  • Move data by using Copy Activity
  • Tutorial: Create a pipeline with Copy Activity using Azure portal

Common errors

Microsoft.ACE.OLEDB.12.0″ hasn’t been registered

This error occurs because the OLEDB provider isn’t installed. Install it from Microsoft Access Database Engine 2010 Redistributable. Be sure to install the 64-bit version if Windows and [!INCLUDE ssnoversion-md] are both 64-bit.

The full error is:

Msg 7403, Level 16, State 1, Line 3
The OLE DB provider "Microsoft.ACE.OLEDB.12.0" has not been registered.

Cannot create an instance of OLE DB provider «Microsoft.ACE.OLEDB.12.0» for linked server «(null)»

This indicates that the Microsoft OLEDB hasn’t been configured properly. Run the following Transact-SQL code to resolve this:

EXEC sp_MSset_oledb_prop N'Microsoft.ACE.OLEDB.12.0', N'AllowInProcess', 1;
EXEC sp_MSset_oledb_prop N'Microsoft.ACE.OLEDB.12.0', N'DynamicParameters', 1;

The full error is:

Msg 7302, Level 16, State 1, Line 3
Cannot create an instance of OLE DB provider "Microsoft.ACE.OLEDB.12.0" for linked server "(null)".

The 32-bit OLE DB provider «Microsoft.ACE.OLEDB.12.0» cannot be loaded in-process on a 64-bit SQL Server

This occurs when a 32-bit version of the OLD DB provider is installed with a 64-bit [!INCLUDE ssnoversion-md]. To resolve this issue, uninstall the 32-bit version and install the 64-bit version of the OLE DB provider instead.

The full error is:

Msg 7438, Level 16, State 1, Line 3
The 32-bit OLE DB provider "Microsoft.ACE.OLEDB.12.0" cannot be loaded in-process on a 64-bit SQL Server.

The OLE DB provider «Microsoft.ACE.OLEDB.12.0» for linked server «(null)» reported an error.

Cannot initialize the data source object of OLE DB provider «Microsoft.ACE.OLEDB.12.0» for linked server «(null)»

Both of these errors typically indicate a permissions issue between the [!INCLUDE ssnoversion-md] process and the file. Ensure that the account that is running the [!INCLUDE ssnoversion-md] service has full access permission to the file. We recommend against trying to import files from the desktop.

The full errors are:

Msg 7399, Level 16, State 1, Line 3
The OLE DB provider "Microsoft.ACE.OLEDB.12.0" for linked server "(null)" reported an error. The provider did not give any information about the error.
Msg 7303, Level 16, State 1, Line 3
Cannot initialize the data source object of OLE DB provider "Microsoft.ACE.OLEDB.12.0" for linked server "(null)".

Next steps

  • Get started with this simple example of the Import and Export Wizard
  • Import data from Excel or export data to Excel with SQL Server Integration Services (SSIS)
  • bcp Utility
  • Move data by using Copy Activity

There are many articles about writing code to import an Excel file, but this is a manual/shortcut version:

If you don’t need to import your Excel file programmatically using code, you can do it very quickly using the menu in SQL Server Management Studio (SSMS).

The quickest way to get your Excel file into SQL is by using the import wizard:

  1. Open SSMS (SQL Server Management Studio) and connect to the database where you want to import your file into.

  2. Import Data: in SSMS in Object Explorer under ‘Databases’, right-click the destination database, and select Tasks, Import Data. An import wizard will pop up (you can usually just click Next on the first screen).

    Enter image description here

  3. The next window is ‘Choose a Data Source‘. Select Excel:

  • In the ‘Data Source’ dropdown list, select Microsoft Excel (this option should appear automatically if you have Excel installed).

  • Click the ‘Browse’ button to select the path to the Excel file you want to import.

  • Select the version of the Excel file (97-2003 is usually fine for files with a .XLS extension, or use 2007 for newer files with a .XLSX extension)

  • Tick the ‘First Row has headers’ checkbox if your Excel file contains headers.

  • Click Next.

    Enter image description here

  1. On the ‘Choose a Destination‘ screen, select destination database:
  • Select the ‘Server name’, Authentication (typically your sql username & password) and select a Database as destination. Click Next.

    enter image description here

  1. On the ‘Specify Table Copy or Query‘ window:
  • For simplicity just select ‘Copy data from one or more tables or views’, click Next.
  1. Select Source Tables:‘ choose the worksheet(s) from your Excel file and specify a destination table for each worksheet. If you don’t have a table yet the wizard will very kindly create a new table that matches all the columns from your spreadsheet. Click Next.

    Enter image description here

  2. Click Finish.

Table of Contents

  • Introduction
  • Building the Environment for Testing
    • Creating an Excel File to test
    • Installing the necessary components in Windows Server
    • Enabling SQL Server Instance to Read File
  • Querying and Importing the Spreadsheet
  • Conclusion
  • References
  • See Also
  • Other Languages

Introduction

We often have to perform data integration in SQL Server, with different data sources such as «.txt» files (tabular text or with separator character), «.csv» files or «.xls» (Excel) files.

It is always not possible to create a SSIS package to do this data import, a useful alternative is to use OPENROWSET method for importing data.

In this article, we will use data import from Excel files (.xls e .xlsx).

Building the Environment for Testing

So that we see the data import process steps from an Excel file to a table from database, we need:

  • Create an Excel file to import sample;
  • Configure Windows Server, installing the necessary components;
  • Configure the necessary permissions to the SQL instance that we need to obtain data files.

Let’s prepare environment for data import!

Creating an Excel File to test

In this step, we will create an Excel file sample with just a few rows to demo.

Add a header row, to explicitly define the data: «ID», «Item Name» and «Date Created».

The data sequences is only to facilitate the visualization of the content that is being manipulated.

See this Excel file in the image below (click to enlarge)

Installing the necessary components in Windows Server

To get the data through a query inside SQL Server, use an OLE DB Data Provider.

Most files can now use the
Microsoft.ACE.OLEDB.12.0
Data Provider that can be obtained free through Data Connectivity Components.

This package will provide all ODBC and OLEDB drivers for data manipulation, as follow below:

 File Type (extension)  Extended Properties
 Excel 97-2003 Workbook (.xls)  Excel 8.0
 Excel 2007-2010 Workbook (.xlsx)  Excel 12.0 XML
 Excel 2007-2010 Macro-enabled workbook (.xlsm)  Excel 12.0 Macro
 Excel 2007-2010 Non-XML binary workbook (.xlsb)  Excel 12.0

There are two versions of this package: «AccessDatabaseEngine.exe» for x86 platform and other «AccessDatabaseEngine_x64.exe» for x64 platform.

The minimum system requirements for this installation can be obtained in the same

download package page.

If you are installing the x86 package you must ensure that your user is allowed access to the Temporary directory of your Windows OS.

To know what your Temporary directory open the «Control Panel», click «Advanced System Settings» option. A window will open, select the «Advanced» tab and click the «Environment Variables» button.

A new window will open with your environment variables, including «TEMP» and «TMP» variables, indicating your Temporary directory.

See this windows in the image below (click to enlarge)

So if your operating system is Windows 32-bit (x86) is necessary to include read and write access to the user of your SQL Server instance.

It’s important to remember that the user of your SQL Server instance must be a local user or the default «Local System» account to grant this access.

See this window Service Properties in the image below

Enabling SQL Server Instance to Read File

The settings and permissions to execute a query external data has some details that should be performed to be able to get the data from an Excel files (.xls ou .xlsx) and also other formats.

The execution of distributed queries as OPENROWSET is only possible when the SQL Server instance has the
Ad Hoc Distributed Queries configuration enabled. By default, every SQL Server instance maintains this permission denied.

  Note

The Advanced Settings should only be changed by an experienced professional or a certified professional in SQL Server. It’s important to note not use these commands in Production Databases without previous analysis.
We recommend you run all tests in an isolated environment, at your own risk.



To enable this feature just use the sp_configure system stored procedure in your SQL instance to display its Advanced Settings in
show advanced options parameter and soon to follow, enable the Ad Hoc Distributed Queries setting to enabling the use of distributed queries.


USE [master]
GO

—CONFIGURING SQL INSTANCE TO ACCEPT ADVANCED OPTIONS
EXEC
sp_configure ‘show advanced options’, 1
RECONFIGURE
GO

—ENABLING USE OF DISTRIBUTED QUERIES
EXEC
sp_configure ‘Ad Hoc Distributed Queries’, 1
RECONFIGURE
GO


These changes in the Advanced settings only take effect after the execution of the RECONFIGURE command.

To get permission granted to use the Data Provider through sp_MSset_oledb_prop system stored procedure to link Microsoft.ACE.OLEDB.12.0 in
SQL Server using AllowInProcess parameter so we can use the resources of the Data Provider and also allow the use of dynamic parameters in queries through of
DynamicParameters  parameter for our queries can use T-SQL clauses.


USE [master]
GO

—ADD DRIVERS IN SQL INSTANCE
EXEC
master.dbo.sp_MSset_oledb_prop
N’Microsoft.ACE.OLEDB.12.0′,
N’AllowInProcess’, 1
GO

EXEC
master.dbo.sp_MSset_oledb_prop
N’Microsoft.ACE.OLEDB.12.0′,
N’DynamicParameters’, 1
GO


See
this output SQL script in the image below

After setting up your SQL instance to use the
Microsoft.ACE.OLEDB.12.0 Data Provider and make the appropriate access permissions, we can implement the distributed queries of other data sources,
in this case to Excel files. 

Querying and Importing the Spreadsheet

As this demo is for Excel files (.xls) we will perform a query using an OPENROWSET method with the Excel test file that was created earlier in this article. 

We use some parameters for this method to be able to data query:

  • Data Provider — In this case, using Microsoft.ACE.OLEDB.12.0
  • BULK Options      — File Version;Where it’s stored; Header (HDR); Import Mode (IMEX)
  • Query                     —
    T-SQL statement with or without clauses to data filter and process.


—CONSULTING A SPREADSHEET
SELECT
* FROM
OPENROWSET
(‘Microsoft.ACE.OLEDB.12.0’,
‘Excel 12.0; Database=C:MicrosoftTest.xls; HDR=YES; IMEX=1’,
‘SELECT * FROM [Plan1$]’
GO


See
this output SQL script in the image below

To data group and perform other tasks for data manipulation, the ideal is always load the data into the database. You can insert data into an existing table using the INSERT statement or you can create a table through of INTO command in SELECT statement.


—CONSULTING A SPREADSHEET
SELECT * 
INTO
TB_EXAMPLE

FROM OPENROWSET(‘Microsoft.ACE.OLEDB.12.0’,
‘Excel 12.0; Database=C:MicrosoftTest.xls; HDR=YES; IMEX=1’,
‘SELECT * FROM [Plan1$]’
GO

SELECT * FROM TB_EXAMPLE 
GO


See
this output SQL script in the image below

It’s also important to check if the SQL Server Service user has access in Windows directory where Excel files
are stored.

Conclusion

Have the possibility to use an alternative resource for importing data with T-SQL command is very useful, especially when we have to manipulate files in proprietary formats, as for .xlsx files where it’s necessary to use the Data Provider appropriate to obtain
the data correctly and with ease use.

It’s important to watch out that only users that have actually need to manipulate these files can use these resources, while minimizing the vulnerability of their environment through a permission in your SQL Server.


References

  • OPENROWSET (Transact-SQL)
  • Import Bulk Data by Using BULK INSERT or OPENROWSET(BULK…) (SQL Server)
  • OLE DB Providers Tested with SQL Server
  • Excel Source

See Also

  • Transact-SQL Portal
  • Wiki: Portal of TechNet Wiki Portals

Other Languages

  • Importando uma planilha Excel para um Banco de Dados SQL Server (pt-BR)

 
This article was awarded the 
silver medal in the TechNet
Guru of April 2014

Introduction

In this article, I am going to explain to you how to import Excel sheet data to SQL server database table with examples. Here we will be using SQL Server 2019 or you can use SQL Server 2008 or above. In my current project, I am using this concept for data migration.

This concept is used for transferring data from source (Excel sheet) to destination (SQL Server). We can import a bulk amount of excel data into SQL database without using any coding.

There are two ways to import data from excel to SQL Server database. First, if you want to import all excel file data with header names in a new table. Secondly, if you want to append excel data in exiting table data without header names.

Prerequisites

SQL Server 2019 or you can use SQL server 2008 or above version.

Read my previous articles, using the below links,

  • How To Install SQL Server 2019
  • How To Install SQL Server Management Studio 2019
  • Getting Started With SQL Server 2019

Import All Excel Data With Header Names In a New Table

Step 1

Here, I have created a sample Excel data that contains employees detail data with six columns. 

How To Import Excel Data Into SQL Server 2019

Step 2

Connect To SQL Server Management Studio 2019 (SSMS) and create a database

Open your SQL Server and use the following script to create the “chittadb” Database.

Create database chittadb

How To Import Excel Data Into SQL Server 2019

Now, select the script query then press F5 or click on Execute button to execute the above script.

You should see a message, “Command(s) completed successfully.” Means your new database is created.

How To Import Excel Data Into SQL Server 2019

Database “Chittadb” created.

How To Import Excel Data Into SQL Server 2019

Step 3

Expand the database where you want to import the data. Here I want to import the data to “Chittadb” database. The database has no table now.

How To Import Excel Data Into SQL Server 2019

Right click your destination database ->Select Tasks -> Import Data

How To Import Excel Data Into SQL Server 2019

Step 4

An Import wizard pop up will open «Welcome to SQL Server Import and Export Wizard” and Click Next.

How To Import Excel Data Into SQL Server 2019

Step 5

  • Now, Select Microsoft Excel as your data source from the dropdown list.
  • Click the ‘Browse’ button to select the path to the Excel data file you want to import.
  • Select the version of the excel file (2007-2010). Is usually fine for files with a .XLS extension, or use newer files with a .XLSX extension)
  • Tick the ‘First Row has column names’ checkbox, if your excel file contains headers.
  • Click next.

How To Import Excel Data Into SQL Server 2019

Step 6

On the ‘Choose a Destination’ Screen, select destination database” SQL Server Native Client 11.0” from the dropdown, select database “chittadb”, also you can use Windows Authentication or Use SQL Server Authentication; here I am using Windows Authentication and click Next.

How To Import Excel Data Into SQL Server 2019

Step 7

Select the Radio button “Copy data from one or more tables or views”.

This step will copy the data from the data source, click next and continue.

How To Import Excel Data Into SQL Server 2019

Step 8

We can specify the table name in the following wizard. So change the destination section name «[dbo].[Sheet1$]» as «[dbo].[Tbl_Employee]» and click Next.

How To Import Excel Data Into SQL Server 2019

How To Import Excel Data Into SQL Server 2019

If you want to preview your data, Click the preview button.

How To Import Excel Data Into SQL Server 2019

Step 9

Save and Run package. Check Run immediately from checkbox and Click Next or Finish button you can get Complete the Wizard page.

How To Import Excel Data Into SQL Server 2019

Step 10

Click finish.

How To Import Excel Data Into SQL Server 2019

Step 11

The execution was successful and Click Close button.

How To Import Excel Data Into SQL Server 2019

Step 12

 Now, check database “Chittadb” and verify.

The following Output contains Id, EmpId, Name, Location, Gender and Designation as the column name and “Tbl_Employee” table also created under database “Chittadb”. Now all excel data is imported to “Tbl_Employee” table.

How To Import Excel Data Into SQL Server 2019

Conclusion

In this article, we learned how to Import Excel data into SQL Server 2019. Post your valuable feedback in the comments section. I hope this article will be useful.

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