Effective Use of SQL Server FileStream for BLOB Data


Introduction

SQL Server FileStream is a feature that allows you to efficiently store and manage Binary Large Object (BLOB) data. This guide explores the effective use of SQL Server FileStream for BLOB data with sample code and examples.


1. Enabling FileStream

Before using FileStream, you need to enable it at both the SQL Server instance and database levels.

-- Enable FileStream at the SQL Server instance level
EXEC sp_configure 'filestream access level', 2;
RECONFIGURE;
-- Enable FileStream at the database level
USE YourDatabase;
ALTER DATABASE YourDatabase
SET FILESTREAM (NON_TRANSACTED_ACCESS = FULL, DIRECTORY_NAME = N'FileStreamData');

2. Creating a FileStream Table

Create a table with a FileStream column to store BLOB data. This column will reference a FileStream filegroup.

-- Create a FileStream table
CREATE TABLE FileStreamTable
(
FileID UNIQUEIDENTIFIER ROWGUIDCOL NOT NULL UNIQUE,
Data VARBINARY(MAX) FILESTREAM,
FileName NVARCHAR(255),
FileSize INT
);

3. Inserting BLOB Data

You can insert BLOB data into the FileStream table using standard SQL INSERT statements.

-- Insert BLOB data into the FileStream table
INSERT INTO FileStreamTable (FileID, Data, FileName, FileSize)
VALUES (NEWID(), 0x0A1A2B3C, 'example.pdf', 123456);

4. Retrieving BLOB Data

To retrieve BLOB data, use SQL queries to read from the FileStream table.

-- Retrieve BLOB data from the FileStream table
SELECT Data
FROM FileStreamTable
WHERE FileName = 'example.pdf';

5. FileStream Backup and Recovery

FileStream data is included in the database backup. Ensure you have appropriate backup and recovery strategies in place.

-- Backup the database with FileStream data
BACKUP DATABASE YourDatabase
TO DISK = 'C:\SQLBackup\YourDatabase.bak';

Conclusion

SQL Server FileStream is an effective solution for managing BLOB data, such as documents, images, and videos. By enabling FileStream, creating FileStream tables, inserting and retrieving BLOB data, and implementing backup and recovery strategies, you can efficiently store and manage large binary data within your SQL Server databases.