HASHBYTES (Transact-SQL); 2 minutes to read +4; In this article. APPLIES TO: SQL Server Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse. Returns the MD2, MD4, MD5, SHA, SHA1, or SHA2 hash of its input in SQL Server. Transact-SQL Syntax Conventions. I want to know wether SQL Server 2005 (that I use) has a built in support for creating MD5 hashes and if it has then can someone give me an example how to use it. I need to create hash of image field and then compare it to another one that has been sent from application. Part of that is right there in the query hash value. SQL Server can’t use the value from the Plan Guide text because it’s wrong, but it must not generate a new value. Rather than leaving it blank (although, why not leave it blank), it copies the query plan hash value. What’s this mean for production servers and your day-to-day existence?

• Hashing In Sql Server
• Generate Hash Key In Sql Server For Many Files Free
• Generate Hash Key In Sql Server For Many Files 2016
• Generate Hash Key In Sql Server For Many Files In Windows 7
• Sql Server Row Hash

APPLIES TO: SQL Server Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse

At a minimum, every SQL Server database has two operating system files: a data file and a log file. Data files contain data and objects such as tables, indexes, stored procedures, and views. Log files contain the information that is required to recover all transactions in the database. Data files can be grouped together in filegroups for allocation and administration purposes.

Database Files

SQL Server databases have three types of files, as shown in the following table.

For example, a simple database named Sales can be created that includes one primary file that contains all data and objects and a log file that contains the transaction log information. Alternatively, a more complex database named Orders can be created that includes one primary file and five secondary files. The data and objects within the database spread across all six files, and the four log files contain the transaction log information.

By default, the data and transaction logs are put on the same drive and path. This is done to handle single-disk systems. However, this may not be optimal for production environments. We recommend that you put data and log files on separate disks.

Logical and Physical File Names

SQL Server files have two file name types:

logical_file_name: The logical_file_name is the name used to refer to the physical file in all Transact-SQL statements. The logical file name must comply with the rules for SQL Server identifiers and must be unique among logical file names in the database. This is set by the NAME argument in ALTER DATABASE. For more information, see ALTER DATABASE File and Filegroup Options (Transact-SQL).

os_file_name: The os_file_name is the name of the physical file including the directory path. It must follow the rules for the operating system file names. This is set by the FILENAME argument in ALTER DATABASE. For more information, see ALTER DATABASE File and Filegroup Options (Transact-SQL).

Important

Cisco generate rsa key ssh. SQL Server data and log files can be put on either FAT or NTFS file systems. On Windows systems, we recommend using the NTFS file system because the security aspects of NTFS.

Warning

Read/write data filegroups and log files are not supported on an NTFS compressed file system. Only read-only databases and read-only secondary filegroups are allowed to be put on an NTFS compressed file system.For space savings, it is highly recommended to use data compression instead of file system compression.

When multiple instances of SQL Server are running on a single computer, each instance receives a different default directory to hold the files for the databases created in the instance. For more information, see File Locations for Default and Named Instances of SQL Server.

Data File Pages

Pages in a SQL Server data file are numbered sequentially, starting with zero (0) for the first page in the file. Each file in a database has a unique file ID number. To uniquely identify a page in a database, both the file ID and the page number are required. The following example shows the page numbers in a database that has a 4-MB primary data file and a 1-MB secondary data file.

The first page in each file is a file header page that contains information about the attributes of the file. Several of the other pages at the start of the file also contain system information, such as allocation maps. One of the system pages stored in both the primary data file and the first log file is a database boot page that contains information about the attributes of the database. For more information about pages and page types, see Pages and Extents Architecture Guide.

File Size

SQL Server files can grow automatically from their originally specified size. When you define a file, you can specify a specific growth increment. Every time the file is filled, it increases its size by the growth increment. If there are multiple files in a filegroup, they will not autogrow until all the files are full. Growth then occurs in a round-robin fashion using proportional fill.

Each file can also have a maximum size specified. If a maximum size is not specified, the file can continue to grow until it has used all available space on the disk. This feature is especially useful when SQL Server is used as a database embedded in an application where the user does not have convenient access to a system administrator. The user can let the files autogrow as required to reduce the administrative burden of monitoring free space in the database and manually allocating additional space.

If Instant File Initialization (IFI) is enabled for SQL Server, there is minimal overhead when allocating new space for data files.

For more information on transaction log file management, see Manage the size of the transaction log file.

Hashing In Sql Server

Database Snapshot Files

The form of file that is used by a database snapshot to store its copy-on-write data depends on whether the snapshot is created by a user or used internally:

• A database snapshot that is created by a user stores its data in one or more sparse files. Sparse file technology is a feature of the NTFS file system. At first, a sparse file contains no user data, and disk space for user data has not been allocated to the sparse file. For general information about the use of sparse files in database snapshots and how database snapshots grow, see View the Size of the Sparse File of a Database Snapshot.
• Database snapshots are used internally by certain DBCC commands. These commands include DBCC CHECKDB, DBCC CHECKTABLE, DBCC CHECKALLOC, and DBCC CHECKFILEGROUP. An internal database snapshot uses sparse alternate data streams of the original database files. Like sparse files, alternate data streams are a feature of the NTFS file system. The use of sparse alternate data streams allows for multiple data allocations to be associated with a single file or folder without affecting the file size or volume statistics.

Filegroups

Every database has a primary filegroup. This filegroup contains the primary data file and any secondary files that are not put into other filegroups. User-defined filegroups can be created to group data files together for administrative, data allocation, and placement purposes.

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For example, three files, Data1.ndf, Data2.ndf, and Data3.ndf, can be created on three disk drives, respectively, and assigned to the filegroup fgroup1. A table can then be created specifically on the filegroup fgroup1. Queries for data from the table will be spread across the three disks; this will improve performance. The same performance improvement can be accomplished by using a single file created on a RAID (redundant array of independent disks) stripe set. However, files and filegroups let you easily add new files to new disks.

All data files are stored in the filegroups listed in the following table.

Default (Primary) Filegroup

When objects are created in the database without specifying which filegroup they belong to, they are assigned to the default filegroup. At any time, exactly one filegroup is designated as the default filegroup. The files in the default filegroup must be large enough to hold any new objects not allocated to other filegroups.

The PRIMARY filegroup is the default filegroup unless it is changed by using the ALTER DATABASE statement. Allocation for the system objects and tables remains within the PRIMARY filegroup, not the new default filegroup.

Memory Optimized Data Filegroup

For more information on memory-optimized filegroups, see Memory Optimized Filegroup.

Filestream Filegroup

For more information on filestream filegroups, see FILESTREAM and Create a FILESTREAM-Enabled Database.

File and Filegroup Example

The following example creates a database on an instance of SQL Server. The database has a primary data file, a user-defined filegroup, and a log file. The primary data file is in the primary filegroup and the user-defined filegroup has two secondary data files. An ALTER DATABASE statement makes the user-defined filegroup the default. A table is then created specifying the user-defined filegroup. (This example uses a generic path c:Program FilesMicrosoft SQL ServerMSSQL.1 to avoid specifying a version of SQL Server.)

The following illustration summarizes the results of the previous example (except for the Filestream data).

File and Filegroup Fill Strategy

Filegroups use a proportional fill strategy across all the files within each filegroup. As data is written to the filegroup, the SQL Server Database Engine writes an amount proportional to the free space in the file to each file within the filegroup, instead of writing all the data to the first file until full. It then writes to the next file. For example, if file f1 has 100 MB free and file f2 has 200 MB free, one extent is allocated from file f1, two extents from file f2, and so on. In this way, both files become full at about the same time, and simple striping is achieved.

As soon as all the files in a filegroup are full, the SQL Server Database Engine automatically expands one file at a time in a round-robin manner to allow for more data, provided that the database is set to grow automatically. For example, a filegroup is made up of three files, all set to automatically grow. When space in all the files in the filegroup is exhausted, only the first file is expanded. When the first file is full and no more data can be written to the filegroup, the second file is expanded. When the second file is full and no more data can be written to the filegroup, the third file is expanded. If the third file becomes full and no more data can be written to the filegroup, the first file is expanded again, and so on.

Rules for designing Files and Filegroups

The following rules pertain to files and filegroups:

• A file or filegroup cannot be used by more than one database. For example, file sales.mdf and sales.ndf, which contain data and objects from the sales database, cannot be used by any other database.
• A file can be a member of only one filegroup.
• Transaction log files are never part of any filegroups.

Recommendations

Following are some general recommendations when you are working with files and filegroups:

• Most databases will work well with a single data file and a single transaction log file.
• If you use multiple data files, create a second filegroup for the additional file and make that filegroup the default filegroup. In this way, the primary file will contain only system tables and objects.
• To maximize performance, create files or filegroups on different available disks as possible. Put objects that compete heavily for space in different filegroups.
• Use filegroups to enable placement of objects on specific physical disks.
• Put different tables used in the same join queries in different filegroups. This will improve performance, because of parallel disk I/O searching for joined data.
• Put heavily accessed tables and the nonclustered indexes that belong to those tables on different filegroups. This will improve performance, because of parallel I/O if the files are located on different physical disks.
• Do not put the transaction log file(s) on the same physical disk that has the other files and filegroups.

For more information on transaction log file management recommendations, see Manage the size of the transaction log file.

Related Content

CREATE DATABASE (SQL Server Transact-SQL)
ALTER DATABASE File and Filegroup Options (Transact-SQL)
Database Detach and Attach (SQL Server)
SQL Server Transaction Log Architecture and Management Guide
Pages and Extents Architecture Guide
Manage the size of the transaction log file

APPLIES TO: SQL Server Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse

Returns the MD2, MD4, MD5, SHA, SHA1, or SHA2 hash of its input in SQL Server.

Syntax

Arguments

<algorithm>
Identifies the hashing algorithm to be used to hash the input. This is a required argument with no default. The single quotation marks are required. Beginning with SQL Server 2016 (13.x), all algorithms other than SHA2_256, and SHA2_512 are deprecated.

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@input
Specifies a variable containing the data to be hashed. @input is varchar, nvarchar, or varbinary.

'input'
Specifies an expression that evaluates to a character or binary string to be hashed.

The output conforms to the algorithm standard: 128 bits (16 bytes) for MD2, MD4, and MD5; 160 bits (20 bytes) for SHA and SHA1; 256 bits (32 bytes) for SHA2_256, and 512 bits (64 bytes) for SHA2_512.

Applies to: SQL Server 2012 (11.x) and later

For SQL Server 2014 (12.x) and earlier, allowed input values are limited to 8000 bytes.

Return Value

varbinary (maximum 8000 bytes)

Remarks

Consider using CHECKSUM or BINARY_CHECKSUM as alternatives to compute a hash value.

The MD2, MD4, MD5, SHA, and SHA1 algorithms are deprecated starting with SQL Server 2016 (13.x). Use SHA2_256 or SHA2_512 instead. Older algorithms will continue working, but they will raise a deprecation event.

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Examples

Return the hash of a variable

The following example returns the SHA2_256 hash of the nvarchar data stored in variable @HashThis.

Return the hash of a table column

The following example returns the SHA2_256 hash of the values in column c1 in the table Test1.

Here is the result set.

Sql Server Row Hash

See Also