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How does SQL Server and FILESTREAM work together?
FILESTREAM integrates the SQL Server Database Engine with an NTFS or ReFS file systems by storing varbinary (max) binary large object (BLOB) data as files on the file system. Transact-SQL statements can insert, update, query, search, and back up FILESTREAM data. Win32 file system interfaces provide streaming access to the data.
Can a SQL Server filegroup be split into multiple data files?
Periodically we are asked how to split an existing filegroup into multiple data files. The quick answer is that SQL Server does not have a built-in way for you to do that automatically, but you can do it yourself. The process is relatively simple and I have provided a script that demonstrates one technique.
What does it mean to use a FILESTREAM filegroup?
A FILESTREAM filegroup is a special filegroup that contains file system directories instead of the files themselves. These file system directories are called data containers. Data containers are the interface between Database Engine storage and file system storage. When you use FILESTREAM storage, consider the following:
What does a filegroup do in SQL Server?
Filegroup – Filegroups in SQL Server are used to group data files together for administrative, data allocation and placement purposes. Filegroups provide an abstraction layer between database objects such as tables and indexes and the actual physical files sitting on the operating system.
What happens when a FILESTREAM field is set to null?
When you update a FILESTREAM field, you modify the underlying BLOB data in the file system. When a FILESTREAM field is set to NULL, the BLOB data associated with the field is deleted. You cannot use a Transact-SQL chunked update, implemented as UPDATE**.**Write (), to perform partial updates to the data.
How big should a file system be to use FILESTREAM?
The size and use of the data determines whether you should use database storage or file system storage. If the following conditions are true, you should consider using FILESTREAM: Objects that are being stored are, on average, larger than 1 MB. Fast read access is important.