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.
-
In [!INCLUDEssManStudioFull], connect to an instance of the [!INCLUDEssNoVersion] [!INCLUDEssDE].
-
Expand Databases.
-
Right-click a database.
-
Select Tasks.
-
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:
-
Open SSMS (SQL Server Management Studio) and connect to the database where you want to import your file into.
-
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).
-
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.
- 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.
- On the ‘Specify Table Copy or Query‘ window:
- For simplicity just select ‘Copy data from one or more tables or views’, click Next.
-
‘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.
-
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. |
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
There are many ways to import data from an Excel file to a SQL Server database using:
- SQL Server Integration Services (SSIS)
- the OPENROWSET and OPENDATASOURCE functions
- SQL Server linked servers
- the SQL Server Import and Export Wizard
In this article, steps for importing data from an Excel file to a SQL Server database will be explained using the SQL Server Import and Export Wizard including some of problems that can occur during the processes.
To start the process of importing data from an Excel file to a SQL Server database using the SQL Server Import and Export Wizard the SQL Server Import and Export Wizard needs to be launched. There are several ways to do that, and this can be seen on the How to import/export data to SQL Server using the SQL Server Import and Export Wizard page
The first page that appears when the SQL Server Import and Export Wizard launched is Welcome page:
On this page, only a quick introduction of the SQL Server Import and Export Wizard is shown.
Click the Next button to continue. The next page in the SQL Server Import and Export Wizard is Choose a Data Source page:
In the Choose a Data Source page, in order to continue with importing data from Excel to SQL Server the data source provider and way of connecting with data source must be provided. In our case, the provider for connecting to the Excel file is the Microsoft Excel provider.
From the Data source drop down box, select the Microsoft Excel provider:
As you can see, there is no Microsoft Excel provider in the list of the Data source drop down box. There are several reasons for this. The first reason could be that Microsoft Office isn’t installed. But there is no need to install Microsoft Office (Microsoft Excel) in order to see the Microsoft Excel provider in the Data source drop down box list.
To see the Microsoft Excel provider in the list, install Microsoft Access Database Engine 2016 Redistributable. The latest version of Microsoft Access Database Engine can open the earlier version of Excel, so make sure that you have the latest one.
The Microsoft Access Database Engine 2016 Redistributable comes with two versions:
- AccessDatabaseEngine.exe is 32-bit version
- AccessDatabaseEngine_X64.exe is 64-bit version
Now, when Microsoft Access Database Engine 2016 Redistributable is installed, we should see the Microsoft Excel provider in the list, but unfortunately the Microsoft Excel provider does not show in the list of the Data source drop down box.
This is because you may run a wrong version of the SQL Server Import and Export Wizard. For example, the AccessDatabaseEngine.exe is installed and the SQL Server Import and Export Wizard 64-bit version is launched. In this case, in order to see the Microsoft Excel provider in the list of the Data source drop down box, launch the SQL Server Import and Export Wizard 32-bit version and the Microsoft Excel provider will appear in the list:
Now, when all is installed, from the list, select the Microsoft Excel provider. On the Choose a Data Source page, additional options appear:
In the Excel file path box, type the location to the Excel file or use the Browse button to navigate to the location:
From the Excel version drop down box, choose the version of Excel that uses the source workbook. In our case, that is the Microsoft Excel 2016 version:
The latest option on this page is the First row has column names check box:
By default, this option is checked. It treads the first rows of the data source as the column names:
But if this option is enabled and data source does not contain column names, the SQL Server Import and Export Wizard will add the column names, starting with the name F1 for the first column name:
If this option is disabled and data source contain the column names the SQL Server Import and Export Wizard treats these columns as the first row of data:
Now, when everything is set on the Choose a Data Source page of the SQL Server Import and Export Wizard, click the Next button to continue.
The following warning message may appear after clicking the Next button:
The operation could not be completed.
Additional information:
The ‘Microsoft.ACE.OLEDB.16.0’ provider is not registered on the local machine. (System.Data)
Typically, this warning message appears when the SQL Server Import and Export Wizard is launched via SQL Server Management Studio (SSMS) which is a 32-bit application and the 32-bit version of the SQL Server Import and Export Wizard is launched, but you have installed the Microsoft Access Database Engine 2016 Redistributable 64 bit version.
There are two solutions for resolving this problem:
- The first is to launch the 64-bit version of the SQL Server Import and Export Wizard via the Start menu
- The second resolution is to install the Microsoft Access Database Engine 2016 Redistributable 32 bit version and continue using the SQL Server Import and Export Wizard via SSMS, but first, you need to uninstall the 64-bit version of Microsoft Access Database Engine 2016 Redistributable, otherwise the following warning message will appear when launching the installation package:
Note: The Microsoft Access Database Engine 2016 Redistributable can be installed in quiet mode.
Open the Command Prompt window and run the following:
For 32-bit version
C:Users<User_Name>DownloadsAccessDatabaseEngine.exe /quiet
For 64-bit version
C:Users<User_Name>DownloadsAccessDatabaseEngine_X64.exe /quiet
The next page on the SQL Server Import and Export Wizard is the Choose a Destination page:
On this page, determine the destination where data from the data source (Excel file) will be placed. In our case, the destination will be a SQL Server database.
Under the Destination drop down box, choose a provider that can connect to a SQL Server database.
One of providers that can connect to SQL Server is:
- .NET Framework Data Provider for SqlServer
- Microsoft OLE DB Provider for SQL Server
- SQL Server Native Client 11.0
In this case, the SQL Server Native Client 11.0 will be selected from the Destination list:
From the Server name combo box, select the SQL Server instance:
In the Authentication section, determine how it will be connected to SQL Server by using Windows or SQL Server Authentication mode.
From the Database drop down box, pick a database in which data from data source (Excel file) will be placed:
Or, create a new database as a destination for data from data source.
To do that, click the New button and in the Create Database dialog, set the parameters for the new SQL Server destination database:
When everything is set on the Choose a Destination page, click the Next button to proceed.
On the Specify Table Copy or Query page, determine how data from the data source will be copied to the destination:
If the Copy data from one or more tables or views radio button is selected then all data from the chosen worksheets will be copied.
If the Write a query to specify the data to transfer is chosen, then only data that are specified in a SQL query will be copied from an Excel worksheet to a destination SQL Server database.
If the Write a query to specify the data to transfer in the Choose a Destination page is chosen, then the Provide a Source Query page will be shown when the Next button is pressed:
In the SQL statement text box, type the query that will select the data to copy form the Excel file to the SQL Server database or load a query using the Browse button.
To successfully query a worksheet the $ to the end of the sheet name and the brackets around sheet name, ([BusinessEntity$]) must be added, otherwise the following warning messages may appear:
The statement could not be parsed.
Additional information:
The Microsoft Access database engine could not find the object ‘BusinessEntity’. Make sure the object exists and that you spell its name and the path name correctly. If ‘BusinessEntity’ is not a local object, check your network connection or contact the server administrator. (Microsoft Access Database Engine)
Or this:
The statement could not be parsed.
Additional information:
Syntax error in FROM clause. (Microsoft Access Database Engine)
If the Copy data from one or more tables or views radio button is chosen, when the Next button is pressed, the Select Source Tables and Views page will be shown:
On this page, all worksheets for the Excel file (ImportData.xlsx) will be listed under the Source column. From the Source list, choose from which worksheets you want to import data to the SQL Server database by clicking the check box next to the name of the worksheets. The selected worksheets will appear in the Destination column:
The name of the tables in the SQL Server database by default will be the names of the selected worksheets from the Source column, but these names can be changed by clicking on the name in the Destination column:
As it may be noticed, the icon in the Destination column for the BusinessEntity$ field is different from the Table1 and Table2 fields. This is because the table in the SQL Server database that is chosen as a destination already exists and for the Table1 and Table2 fields, new tables will be created.
When using an existing table, make sure that the destination table has the same number of columns that have data source, otherwise the columns from the data source that does not have an adequate destination column will be by default ignored (<ignore>) and the data from that columns will not be imported to a destination table:
Also, make sure that columns in the destination table have data types that are compatible with the data types in the columns of the source data, otherwise the following error may appear:
Found 1 unknown column type conversion(s) You are only allowed to save the package
When the appropriate columns and the data types are set, click the Next button, the Save and Run Package page of the SQL Server Import and Export Wizard will appear:
Click the Next button if want to import data from an Excel file to a SQL Server database, but if want to save the SSIS package for the later use, check the Save SSIS Package button.
On the Complete the Wizard page, choices that are made in the previous wizard pages are shown:
Click the Next button to import data from an Excel file to a SQL Server database. The Performing Operation page shows the status of the importing process if it is finished successfully or with the errors:
If the error occurs during the process of importing data from Excel file to the SQL Server database the Messages… word will appear in the Message column for the action that failed:
When click on the Messages…, the View Report dialog will appear with detailed information about the error:
This error:
– Validating (Error)
Messages
- Error 0xc0202049: Data Flow Task 1: Failure inserting into the read-only column “numb”.
(SQL Server Import and Export Wizard)
- Error 0xc0202045: Data Flow Task 1: Column metadata validation failed.
(SQL Server Import and Export Wizard)
- Error 0xc004706b: Data Flow Task 1: “Destination – test1” failed validation and returned validation status “VS_ISBROKEN”.
(SQL Server Import and Export Wizard)
- Error 0xc004700c: Data Flow Task 1: One or more component failed validation.
(SQL Server Import and Export Wizard)
- Error 0xc0024107: Data Flow Task 1: There were errors during task validation.
(SQL Server Import and Export Wizard)
Typically, it appears when the destination table has an IDENTITY column. To resolve this, turn back to the Select Source Tables and Views page, select the tables that have identity property and press the Edit Mappings button. From the Transfer Settings dialog, select the Enable identity insert check box:
Also, another common problem that may appear when importing data from data source to the destination SQL Server tables is the FOREIGN KEY Constraints problem. In the error below two destination tables test1 and test2 are shown. The test2 table is referenced to the test1 table:
– Copying to [dbo].[test1] (Error)
Messages
- Error 0xc0047022: Data Flow Task 1: SSIS Error Code DTS_E_PROCESSINPUTFAILED. The ProcessInput method on component “Destination 1 – test2” (79) failed with error code 0xC0209029 while processing input “Destination Input” (92). The identified component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and will cause the Data Flow task to stop running. There may be error messages posted before this with more information about the failure.
(SQL Server Import and Export Wizard)
- Information 0x402090df: Data Flow Task 1: The final commit for the data insertion in “Destination – test1” has started.
(SQL Server Import and Export Wizard)
- Information 0x402090e0: Data Flow Task 1: The final commit for the data insertion in “Destination – test1” has ended.
(SQL Server Import and Export Wizard)
– Copying to [dbo].[test2] (Error)
Messages
- Error 0xc0202009: Data Flow Task 1: SSIS Error Code DTS_E_OLEDBERROR. An OLE DB error has occurred. Error code: 0x80004005.
An OLE DB record is available. Source: “Microsoft SQL Server Native Client 11.0” Hresult: 0x80004005 Description: “The statement has been terminated.”.
An OLE DB record is available. Source: “Microsoft SQL Server Native Client 11.0” Hresult: 0x80004005 Description: “Cannot insert the value NULL into column ‘No_id’, table ‘ImportData.dbo.test2’; column does not allow nulls. INSERT fails.”.
(SQL Server Import and Export Wizard)
-
Error 0xc0209029: Data Flow Task 1: SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR. The “Destination 1 – test2.Inputs[Destination Input]” failed because error code 0xC020907B occurred, and the error row disposition on “Destination 1 – test2.Inputs[Destination Input]” specifies failure on error. An error occurred on the specified object of the specified component. There may be error messages posted before this with more information about the failure.
(SQL Server Import and Export Wizard)
To resolve this problem, disable constraint for referenced table (test2) by executing the following code in SSMS:
ALTER TABLE test2 NOCHECK CONSTRAINT ALL |
After importing data from data source to the destination SQL Server database, execute the following code in SSMS to enable constraint for the test2 table:
ALTER TABLE test2 WITH CHECK CHECK CONSTRAINT ALL |
In some cases, the warning message like from the image below may appear:
– Validating (Warning)
Messages
- Warning 0x802092a7: Data Flow Task 1: Truncation may occur due to inserting data from data flow column “AddressLine1” with a length of 255 to database column “AddressLine1” with a length of 60.
(SQL Server Import and Export Wizard)
- Warning 0x802092a7: Data Flow Task 1: Truncation may occur due to inserting data from data flow column “AddressLine2” with a length of 255 to database column “AddressLine2” with a length of 60.
(SQL Server Import and Export Wizard)
- Warning 0x802092a7: Data Flow Task 1: Truncation may occur due to inserting data from data flow column “City” with a length of 255 to database column “City” with a length of 30.
(SQL Server Import and Export Wizard)
- Warning 0x802092a7: Data Flow Task 1: Truncation may occur due to inserting data from data flow column “AddressLine1” with a length of 255 to database column “AddressLine1” with a length of 60.
(SQL Server Import and Export Wizard)
- Warning 0x802092a7: Data Flow Task 1: Truncation may occur due to inserting data from data flow column “AddressLine2” with a length of 255 to database column “AddressLine2” with a length of 60.
(SQL Server Import and Export Wizard)
- Warning 0x802092a7: Data Flow Task 1: Truncation may occur due to inserting data from data flow column “City” with a length of 255 to database column “City” with a length of 30.
(SQL Server Import and Export Wizard)
- Warning 0x80049304: Data Flow Task 1: Warning: Could not open global shared memory to communicate with performance DLL; data flow performance counters are not available. To resolve, run this package as an administrator, or on the system’s console.
(SQL Server Import and Export Wizard)
To resolve this, go to the SQL Server destination table and increase the column size for the columns that are listed in the warning message.
To verify that the data from the Excel file are imported to the SQL Server database, go to SSMS, find the database in which data are imported and list all data from the tables:
References:
- Import data from Excel to SQL Server or Azure SQL Database
- How to import/export data to SQL Server using the SQL Server Import and Export Wizard
- How to query Excel data using SQL Server linked servers
- Import and Export Data with the SQL Server Import and Export Wizard
- Author
- Recent Posts
Marko aka “Zivko” is a senior software analyst from Nis, Serbia focusing on SQL Server and MySQL as well as client technologies like SSMS, Visual Studio, and VSCode. He has extensive experience with quality assurance, issue escalation/resolution, and product evangelism.
He is a prolific author of authoritative content related to SQL Server including a number of “platinum” articles (top 1% in terms of popularity and engagement). His writing covers a range of topics on MySQL and SQL Server including remote/linked servers, import/export, LocalDB, SSMS, and more.
In his part-time, Zivko likes basketball, foosball (table-soccer), and rock music.
See more about Marko at LinkedIn
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SQL Server tutorial on how to Import data from an Excel file into a database, using the SQL Server wizard and without code.
To do this, use the Data Import Wizard from SQL Server Management Studio. In this example, here is how to import data from a source Excel file to a SQL Server target table. To Import an Excel file with SSMS, this is the easiest guided option.
The Excel file for the example is shown in the screenshot below. Here is the Clients tab which contains the data to be loaded into the database. Here is an article on where and how to download SQL Server.
1. Run the SQL Server Import and Export Wizard task
First, in SQL Server Management Studio:
- Right-click on the database where the table that will be hosting the data is stored
- Then click on Task
- And then on Import Data to open the SSMS wizard.
2. Select the Data Source type
In the SQL Server Import and Export Wizard window:
- First select the source of your load, you will have the choice between a multitude of media file types.
- In our case it is an Excel file, so we choose Microsoft Excel.
3. Input the Excel file path to import
Now indicate the location of the file on the computer or the server. To do this, click on Browse and select the file from which you want to import the data into the database.
4. Select the target database
Now select the database to be used for importing data from the Excel file and then click on Next. Here the target database is a 2008 R2 version but it also works with SQL Server 2012, SQL Server 2016 and SQL Server 2019.
5. Select the Excel file import method
Next, choose how to select your data within your Excel file. You will have the choice between:
- Selecting the Excel tabs to import by ticking them.
- Entering a SQL query to execute in Excel.
In our case, we will choose the tabs to select.
6. Select the Excel tabs to load
Next, check the tabs to import and choose which table to integrate them into. In this case it will be the table named Clients.
7. Configure the column mappings from Excel to MS SQL
Sometimes there are inconsistencies between the Excel columns format and the database columns in the table. Ignore this format difference in the “on Error” column. To do this, choose Ignore.
8. Execute the package created by the Import and Export Wizard
It is possible to save the package in SSIS format for later use. We will thus check the run immediately box to proceed directly to the import of the Excel file into the SQL Server database.
Indeed, to import the same Excel file again with SSMS, simply save the SSIS package generated automatically by the SSMS wizard and run it again. To do this, check the Save SSIS Package box.
9. Check the summary of the Excel file import
A summary of the operations performed is displayed. Read this summary carefully to check the parameters. Then click on the Finish button to launch the import.
10. Check the import execution results and the data
A screen is displayed with details of all the data transfer steps. The result of the Excel import is then displayed. In this case, all the steps were successful.
Finally, the data contained in the Excel file Client and in the Clients tab have been imported successfully into the MS SQL table.
- File
Related Articles
Excel Import to SQL Server using SQL Server Integration Services
Introduction
This article contains a complete example of Microsoft Excel and CSV data import to SQL Server using SQL Server Integration Services.
You will find useful tips to get around difficulties and save your time.
You will find a useful configurable command file to run import packages.
You can download example files also.
Table of Contents
- Introduction
- The basics of SQL Server Integration Services
- Excel 2003-2016 and CSV Providers
- SSIS Package Design using Import-Export Wizard
- SSIS Packages Run using Command Line
- Conclusion
- Download
- See Also
The basics of SQL Server Integration Services
SQL Server Integration Services (SSIS) are powerful tools to import-export data between SQL Server/SQL Azure and other data sources including Microsoft Excel 2003/2007 and CSV files.
You can create SSIS packages using two tools:
- SQL Server Business Intelligence Development Studio (BIDS)
- SQL Server Import-Export Wizard.
You can run SSIS packages using the following tools:
- SQL Server Import-Export Wizard when you create a package.
- The dtexec command line utility.
- The dtexecui interactive utility.
- SQL Agent.
BIDS and SQL Agent are not avaiable in SQL Server Express Edition.
Also, in Express Edition, you cannot save a designed package from the Import-Export Wizard,
See a good video how to design an SSIS package using BIDS:
Creating a Basic Package (SQL Server Video)
We will talk about package design using SQL Server Import-Export Wizard.
This feature covers import-export task with Microsoft Excel and CSV files.
Excel 2003-2016 and CSV Providers
Jet OLE DB Provider for Microsoft Excel 2003
The Microsoft.Jet.OLEDB.4.0 Provider is used to import-export data with Microsoft Excel 97-2003 workbooks.
It is named «Microsoft Excel» in the Import-Export Wizard.
This provider is available by default on all Windows platform but has only the 32-bit version.
So, use the 32-bit version of dtexec utility and specify Run64BitRuntime=False in the Debug Options of SQL Server Business Intelligence Development Studio project properties.
ACE OLE DB Provider for Microsoft Excel 2007-2016
Microsoft Office 12.0 Access Database Engine OLE DB Provider is used to import-export data with Microsoft Excel 2007-2016 workbooks like *.xlsx, *.xlsm, *.xlb.
You can download and install this provider using the following link:
Microsoft Access Database Engine 2010 Redistributable
Note that the platform of the provider should be the same as installed Microsoft Office platform.
Also, you should use the appropriate platform versions of dtexec and the Import-Export Wizard.
So, if you have Microsoft Office x64 installed you should install the 64-bit provider and use the 64-bit Import-Export Wizard.
Note that SQL Server Management Studio and SQL Server Business Intelligence Development Studio run only the 32-bit Import-Export Wizard from a shell. So, use the «Import and Export Data (64-bit)» link from the SQL Server Start Menu group to run the wizard.
To configure the provider fill in the Data Source value with Excel workbook path and Extended Properties with «Excel 12.0;HDR=YES» value for import to SQL Server from Excel and «Excel 12.0» for export from SQL Server to Excel.
In the 32-bit Import-Export Wizard, you can use the «Microsoft Excel» data source with the «Microsoft Excel 2007» version to configure the ACE OLE DB Provider the same way as for Excel 2003 data source.
Flat File Source Provider
The Flat File Source Provider is available by default and has the 32-bit and 64-bit versions.
SSIS Package Design using Import-Export Wizard
How to Run Import-Export Wizard
You have three basic ways to run Import-Export Wizard:
- Run from SQL Server group in the Start Menu.
- Run from SQL Server Management Studio (Object Explorer, Database, Tasks, Export Data…).
- Run from SQL Server Business Intelligence Development Studio (Solution Explorer, SSIS Packages, SSIS Import and Export Wizard…).
Only the first way allows running the 64-bit version of the Wizard that is required for the 64-bit ACE OLE DB Provider.
Choose a Data Source as Excel 2003/Excel 2007/CSV
On this step, you can use a production path to a data source or a temporary development path.
In the last case, you can specify the path at runtime.
In this example drive d: is used as a path directory.
Excel 2003 as Data Source
For importing from Excel 2003 workbooks, select Microsoft Excel as Data source and Microsoft Excel 97/2003 as Excel version.
Excel 2007-2016 as Data Source
For importing from Excel 2007-2016 workbooks using the 32-bit ACE OLE DB Provider, select Microsoft Excel as Data source and Microsoft Excel 2007 as Excel version.
For importing from Excel 2007-2016 workbooks using the 64-bit ACE OLE DB Provider, select Microsoft Office 12.0 Access Database Engine OLE DB Provider.
Specify Extended Properties = «Excel 12.0;HDR=YES» and Data Source on the All tab.
The good idea is to Test Connection on the Connection tab.
A CSV file as Data Source
Carefully specify the first three tabs, especially, the «Advanced» tab.
Don’t forget to check «Column names in the first data row.»
It is a good idea to use «Suggest Types…» button on the «Advanced» tab.
Choose a Destination as SQL Server/SQl Azure
At this step we can choose the following providers:
- SQL Server Native Client.
- Microsoft OLE DB Provider for SQL Server.
- .NET Framework Data Provider for SqlServer.
The only .NET Framework Data Provider for SqlServer allows connecting to SQL Azure at design time.
However, I have an error during the package run using dtexec utility: «ADO NET Destination has failed to acquire the connection». Moreover, I cannot find a solution.
SQL Server Native Client is the best choice, therefore.
For SQL Azure, we can make a design time connection to local SQL Server and then define a real connection string at runtime.
Specify Table Copy or Query
The copying from a table is just enough for Excel/CSV import.
Select Source Tables and Views
Microsoft Excel has two types of data sources:
- Sheets.
- Named ranges.
You can see ‘ExcelTest’ named range and ‘Sheet1$’ sheet on the screenshot.
Use named ranges if possible because users can add information on worksheets somewhere.
Save and Run Package
The SQL Server Express Import-Export Wizard does not allow saving packages.
There are two options for storing SSIS packages:
- SQL Server
- File system
Advantages of the storing to a file system are that you can edit SSIS packages using a text editor and distribute packages easily.
There are some options of the Package protection level:
- Do not save sensitive data.
- Encrypt sensitive data with the user key.
- Encrypt sensitive data with a password.
- Encrypt all data with the user key.
- Encrypt all data with a password.
User key options restrict SSIS package run on other machines. Thus, you cannot distribute it easily.
Encrypt all data options restricts access to an SSIS package text. Thus, you cannot edit it using a text editor.
If an SSIS package does not contain sensitive data, you cannot run and debug a package using SQL Server Business Intelligence Development Studio.
So, the best way for most cases is «Encrypt sensitive data with password».
Password «123» is used in the example.
Complete the Wizard
Verify the choices and click «Finish» button.
Datetime/Float/Double/Null Issues of CSV Import
Import from CSV files has some issues:
- SSIS insert default values instead of null values.
- SSIS cannot convert float/double values without fixed scale from CSV files.
For example, the imported Float value is not equal to source value 123.4567, and the Datetime value has datetime value 1753-01-01 00:00:00 (which can be 1899-12-30 00:00:00 if a date type specified).
I know only the one solution for the float/double issue. It is to setup the decimal data type for CSV column using a scale that covers possible scales of column data.
There are two ways to turn on null values:
- Change «RetainNulls» property to true in an SSIS package using a text editor.
- Open an SSIS package in SQL Server Business Intelligence Development Studio, activate the Data Flow tab, select the Flat File Source and set «RetainNull» to True in the property window. Alternatively, click «Edit…» in the Context Menu and check «Retain null values from the source as null values in the data flow.»
The results with null values.
SSIS Packages Run using Command Line
SSIS Packages Runtime Configuration
The basic command for SSIS package run is
dtexec /file <package> /decrypt <package password>
where a package password is from the «SaveandRunPackage» step of the Import-Export Wizard.
On 64-bit computers, the 64-bit version of dtexec is used by default.
The paths for dtexec executables:
C:Program FilesMicrosoft SQL Server100DTSBinnDTExec.exe C:Program Files (x86)Microsoft SQL Server100DTSBinnDTExec.exe
Also, we can modify SSIS package paramaters using /set PropertyPath;Value option.
The SQL Server/SQL Azure destination connection string example:
/set Package.Connections[DestinationConnectionOLEDB].Properties[ConnectionString];""Data Source=%server%;User ID=%username%;Password=%password%;Initial Catalog=%database%;Provider=SQLNCLI10;Auto Translate=false;""
The Excel 2003 source connection string example:
/set Package.Connections[SourceConnectionExcel].Properties[ConnectionString];""Provider=Microsoft.Jet.OLEDB.4.0;Data Source=%file%;Extended Properties="Excel 8.0;HDR=YES";""
The Excel 2007-2016 source connection string example:
/set Package.Connections[SourceConnectionExcel].Properties[ConnectionString];""Provider=Microsoft.ACE.OLEDB.12.0;Data Source=%file%;Extended Properties="Excel 12.0;HDR=YES"""
The CSV source connection string example:
/set Package.Connections[SourceConnectionFlatFile].Properties[ConnectionString];%file%
SSIS Packages Run Automation
The right technology to run SSIS packages is SQL Agent.
However, we can use a simple and configurable batch file to run SSIS packages.
Let’s create import-config.txt for destination SQL Server/SQL Azure connection string configuration:
destination=Package.Connections[DestinationConnectionOLEDB].Properties[ConnectionString];""Data Source=ko7h266q17.database.windows.net;User ID=excel_user@ko7h266q17;Password=ExSQL_#02;Initial Catalog=AzureDemo50;Provider=SQLNCLI10;Auto Translate=false;""
Let’s create import-task.txt for SSIS packages configuration:
# Specify x64 platform for ImportExcel2007.dtsx if Office x64 installed # Source SSIS_Package Password Type Platform ExcelTest.csv ImportCSV.dtsx 123 csv x86 ExcelTest.xls ImportExcel2003.dtsx 123 jet x86 ExcelTest.xlsx ImportExcel2007.dtsx 123 ace x86
Here the code of the import-ssis.cmd command file:
@echo off rem Check and change the paths to dtexec.exe if needed set dtexec_x64="C:Program FilesMicrosoft SQL Server100DTSBinnDTExec.exe" set dtexec_x86="C:Program Files (x86)Microsoft SQL Server100DTSBinnDTExec.exe" if not exist %dtexec_x86% set dtexec_x86=%dtexec_x64% rem Reads %destination% variable from import-config.txt for /F "eol=# tokens=1* delims==" %%i in (import-config.txt) do set %%i=%%j rem Reads and parses lines of import-task.txt for /F "eol=# tokens=1* delims==" %%i in (import-task.txt) do call :RUN_ONE %%i %%j %%k %%l %%m %%n %%o %%p %%q goto END :RUN_ONE set name=%1 set file=%~f1 set package=%2 set password=%3 set type=%4 set platform=%5 rem The connection string for the source file set source= if .%type%.==.csv. set source=Package.Connections[SourceConnectionFlatFile].Properties[ConnectionString];%file% if .%type%.==.jet. set source=Package.Connections[SourceConnectionExcel].Properties[ConnectionString];""Provider=Microsoft.Jet.OLEDB.4.0;Data Source=%file%;Extended Properties="Excel 8.0;HDR=YES";"" if .%type%.==.ace. set source=Package.Connections[SourceConnectionExcel].Properties[ConnectionString];""Provider=Microsoft.ACE.OLEDB.12.0;Data Source=%file%;Extended Properties="Excel 12.0;HDR=YES""" if .source.==.. goto END rem The dtexec for required platform set dtexec= if .%platform%.==.x86. set dtexec=%dtexec_x86% if .%platform%.==.x64. set dtexec=%dtexec_x64% if .dtexec.==.. goto END echo. echo %package% from %name% echo. %dtexec% /file %package% /Decrypt %password% /set %source% /set %destination% /reporting E > %package%.log type %package%.log :END
The download package includes all these files.
Conclusion
If you have SQL Server Standard or higher, you can use SQL Server Integration Services to import data from Microsoft Excel 2003-2016 or CSV files to SQL Server.
Hope that the article tips help you to save your time.
Download
See Also
- References
- SQL Server Integration Services (SSIS)
- SSIS Package Configurations
- dtexec Utility (SSIS Tool)
- SQL Server Agent
- How-To
- How to: Run the SQL Server Import and Export Wizard
- Creating a Basic Package (SQL Server Video)
- SQL Server Integration Services SSIS Package Configuration
- Downloads
- Microsoft Access Database Engine 2010 Redistributable
- Microsoft Access Database Engine 2016 Redistributable