Use BULK INSERT or OPENROWSET(BULK...) to import data to SQL Server
Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance
This article provides an overview of how to use the Transact-SQL BULK INSERT statement and the INSERT...SELECT * FROM OPENROWSET(BULK...) statement to bulk import data from a data file into a SQL Server or Azure SQL Database table. This article also describes security considerations for using BULK INSERT and OPENROWSET(BULK...), and using these methods to bulk import from a remote data source.
Note
When you use BULK INSERT or OPENROWSET(BULK...), it is important to understand how SQL Server version handles impersonation. For more information, see "Security Considerations," later in this topic.
BULK INSERT statement
BULK INSERT loads data from a data file into a table. This functionality is similar to that provided by the in option of the bcp command; however, the data file is read by the SQL Server process. For a description of the BULK INSERT syntax, see BULK INSERT (Transact-SQL).
BULK INSERT examples
- BULK INSERT
- Examples of Bulk Import and Export of XML Documents
- Keep Identity Values When Bulk Importing Data
- Keep Nulls or Use Default Values During Bulk Import
- Specify Field and Row Terminators
- Use a Format File to Bulk Import Data
- Use Character Format to Import or Export Data
- Use Native Format to Import or Export Data
- Use Unicode Character Format to Import or Export Data
- Use Unicode Native Format to Import or Export Data
- Use a Format File to Skip a Table Column
- Use a Format File to Map Table Columns to Data-File Fields
OPENROWSET(BULK...) Function
The OPENROWSET bulk rowset provider is accessed by calling the OPENROWSET function and specifying the BULK option. The OPENROWSET(BULK...) function allows you to access remote data by connecting to a remote data source, such as a data file, through an OLE DB provider.
To bulk import data, call OPENROWSET(BULK...) from a SELECT...FROM clause within an INSERT statement. The basic syntax for bulk importing data is:
INSERT ... SELECT * FROM OPENROWSET(BULK...)
When used in an INSERT statement, OPENROWSET(BULK...) supports table hints. In addition to the regular table hints, such as TABLOCK, the BULK clause can accept the following specialized table hints: IGNORE_CONSTRAINTS (ignores only the CHECK constraints), IGNORE_TRIGGERS, KEEPDEFAULTS, and KEEPIDENTITY. For more information, see Table Hints (Transact-SQL).
For information about additional uses of the BULK option, see OPENROWSET (Transact-SQL).
INSERT...SELECT * FROM OPENROWSET(BULK...) statements - examples
- Examples of Bulk Import and Export of XML Documents
- Keep Identity Values When Bulk Importing Data
- Keep Nulls or Use Default Values During Bulk Import
- Use a Format File to Bulk Import Data
- Use Character Format to Import or Export Data
- Use a Format File to Skip a Table Column
- Use a Format File to Skip a Data Field
- Use a Format File to Map Table Columns to Data-File Fields
Security considerations
If a user uses a SQL Server login, the security profile of the SQL Server process account is used. A login using SQL Server authentication can't be authenticated outside of the Database Engine. Therefore, when a BULK INSERT command is initiated by a login using SQL Server authentication, the connection to the data is made using the security context of the SQL Server process account (the account used by the SQL Server Database Engine service).
To successfully read the source data, you must grant the account used by the SQL Server Database Engine, access to the source data. In contrast, if a SQL Server user logs on by using Windows Authentication, the user can read only those files that can be accessed by the user account, regardless of the security profile of the SQL Server process.
For example, consider a user who logged in to an instance of SQL Server by using Windows Authentication. For the user to be able to use BULK INSERT or OPENROWSET to import data from a data file into a SQL Server table, the user account requires read access to the data file. With access to the data file, the user can import data from the file into a table even if the SQL Server process doesn't have permission to access the file. The user doesn't have to grant file-access permission to the SQL Server process.
SQL Server and Microsoft Windows can be configured to enable an instance of SQL Server to connect to another instance of SQL Server by forwarding the credentials of an authenticated Windows user. This arrangement is known as impersonation or delegation. Understanding how SQL Server version handle security for user impersonation is important when you use BULK INSERT or OPENROWSET. User impersonation allows the data file to reside on a different computer than either the SQL Server process or the user. For example, if a user on Computer_A has access to a data file on Computer_B, and the delegation of credentials has been set appropriately, the user can connect to an instance of SQL Server that is running on Computer_C, access the data file on Computer_B, and bulk import data from that file into a table on Computer_C.
Bulk importing to SQL Server from a remote data file
To use BULK INSERT or INSERT...SELECT * FROM OPENROWSET(BULK...) to bulk import data from another computer, the data file must be shared between the two computers. To specify a shared data file, use its universal naming convention (UNC) name, which takes the general form, \\Servername\Sharename\Path\Filename. Additionally, the account used to access the data file must have the permissions that are required for reading the file on the remote disk.
For example, the following BULK INSERT
statement bulk imports data into the SalesOrderDetail
table of the AdventureWorks
database from a data file that is named newdata.txt
. This data file resides in a shared folder named \dailyorders
on a network share directory named salesforce
on a system named computer2
.
BULK INSERT AdventureWorks2022.Sales.SalesOrderDetail
FROM '\\computer2\salesforce\dailyorders\neworders.txt';
Note
This restriction does not apply to the bcp utility because the client reads the file independently of SQL Server.
Bulk importing from Azure Blob storage
When importing from Azure Blob storage and the data isn't public (anonymous access), create a DATABASE SCOPED CREDENTIAL based on a SAS key that is encrypted with a MASTER KEY, and then create an external database source for use in your BULK INSERT command.
Alternatively, create a DATABASE SCOPED CREDENTIAL based on MANAGED IDENTITY
to authorize requests for data access in nonpublic storage accounts. When using MANAGED IDENTITY
, Azure storage must grant permissions to the managed identity of the instance by adding the Storage Blob Data Contributor built-in Azure role-based access control (RBAC) role that provides read/write access to the managed identity for the necessary Azure Blob Storage containers. Azure SQL Managed Instance have a system assigned managed identity, and can also have one or more user-assigned managed identities. You can use either system-assigned managed identities or user-assigned managed identities to authorize the requests. For authorization, the default
identity of the managed instance would be used (that is primary user-assigned managed identity, or system-assigned managed identity if user-assigned managed identity isn't specified).
Important
Managed Identity is applicable only to Azure SQL. SQL Server does not support Managed Identity.
Note
Do not use explicit transaction, or you receive a 4861 error.
Using BULK INSERT
The following example shows how to use the BULK INSERT command to load data from a csv file in an Azure Blob storage location on which you have created a SAS key. The Azure Blob storage location is configured as an external data source. This requires a database scoped credential using a shared access signature that is encrypted using a master key in the user database.
--> Optional - a MASTER KEY is not required if a DATABASE SCOPED CREDENTIAL is not required because the blob is configured for public (anonymous) access!
CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'YourStrongPassword1';
GO
--> Optional - a DATABASE SCOPED CREDENTIAL is not required because the blob is configured for public (anonymous) access!
CREATE DATABASE SCOPED CREDENTIAL MyAzureBlobStorageCredential
WITH IDENTITY = 'SHARED ACCESS SIGNATURE',
SECRET = '******srt=sco&sp=rwac&se=2017-02-01T00:55:34Z&st=2016-12-29T16:55:34Z***************';
-- NOTE: Make sure that you don't have a leading ? in SAS token, and
-- that you have at least read permission on the object that should be loaded srt=o&sp=r, and
-- that expiration period is valid (all dates are in UTC time)
CREATE EXTERNAL DATA SOURCE MyAzureBlobStorage
WITH ( TYPE = BLOB_STORAGE,
LOCATION = 'https://****************.blob.core.windows.net/invoices'
, CREDENTIAL= MyAzureBlobStorageCredential --> CREDENTIAL is not required if a blob is configured for public (anonymous) access!
);
BULK INSERT Sales.Invoices
FROM 'inv-2017-12-08.csv'
WITH (DATA_SOURCE = 'MyAzureBlobStorage');
The following example shows how to use the BULK INSERT command to load data from a csv file in an Azure Blob storage location using Managed Identity. The Azure Blob storage location is configured as an external data source.
--> Optional - a MASTER KEY is not required if a DATABASE SCOPED CREDENTIAL is not required because the blob is configured for public (anonymous) access!
CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'YourStrongPassword1';
GO
--> Optional - a DATABASE SCOPED CREDENTIAL is not required because the blob is configured for public (anonymous) access!
CREATE DATABASE SCOPED CREDENTIAL MyAzureBlobStorageCredential
WITH IDENTITY = 'Managed Identity';
-- NOTE: Make sure you have granted Storage Bob Data Contributor RBAC on storage to provides read/write access to the managed identity for the necessary Azure Blob Storage containers.
CREATE EXTERNAL DATA SOURCE MyAzureBlobStorage
WITH ( TYPE = BLOB_STORAGE,
LOCATION = 'https://****************.blob.core.windows.net/invoices'
, CREDENTIAL= MyAzureBlobStorageCredential --> CREDENTIAL is not required if a blob is configured for public (anonymous) access!
);
BULK INSERT Sales.Invoices
FROM 'inv-2017-12-08.csv'
WITH (DATA_SOURCE = 'MyAzureBlobStorage');
Important
Managed Identity is applicable only to Azure SQL. SQL Server does not support Managed Identity.
Azure SQL Database does not support reading from Windows files.
Using OPENROWSET
The following example shows how to use the OPENROWSET command to load data from a csv file in an Azure Blob storage location on which you have created a SAS key. The Azure Blob storage location is configured as an external data source. This requires a database scoped credential using a shared access signature that is encrypted using a master key in the user database.
--> Optional - a MASTER KEY is not required if a DATABASE SCOPED CREDENTIAL is not required because the blob is configured for public (anonymous) access!
CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'YourStrongPassword1';
GO
--> Optional - a DATABASE SCOPED CREDENTIAL is not required because the blob is configured for public (anonymous) access!
CREATE DATABASE SCOPED CREDENTIAL MyAzureBlobStorageCredential
WITH IDENTITY = 'SHARED ACCESS SIGNATURE',
SECRET = '******srt=sco&sp=rwac&se=2017-02-01T00:55:34Z&st=2016-12-29T16:55:34Z***************';
-- NOTE: Make sure that you don't have a leading ? in SAS token, and
-- that you have at least read permission on the object that should be loaded srt=o&sp=r, and
-- that expiration period is valid (all dates are in UTC time)
CREATE EXTERNAL DATA SOURCE MyAzureBlobStorage
WITH ( TYPE = BLOB_STORAGE,
LOCATION = 'https://****************.blob.core.windows.net/invoices'
, CREDENTIAL= MyAzureBlobStorageCredential --> CREDENTIAL is not required if a blob is configured for public (anonymous) access!
);
INSERT INTO achievements with (TABLOCK) (id, description)
SELECT * FROM OPENROWSET(
BULK 'csv/achievements.csv',
DATA_SOURCE = 'MyAzureBlobStorage',
FORMAT ='CSV',
FORMATFILE='csv/achievements-c.xml',
FORMATFILE_DATA_SOURCE = 'MyAzureBlobStorage'
) AS DataFile;
Important
Azure SQL Database does not support reading from Windows files.