CHECKSUM function returns the checksum value computed over a table row, or over an expression list. Use
CHECKSUM to build hash indexes.
CHECKSUM ( * | expression [ ,...n ] )
This argument specifies that the checksum computation covers all table columns.
CHECKSUM returns an error if any column has a noncomparable data type. Noncomparable data types include:
Another noncomparable data type is sql_variant with any one of the preceding data types as its base type.
An expression of any type, except a noncomparable data type.
CHECKSUM computes a hash value, called the checksum, over its argument list. Use this hash value to build hash indexes. A hash index will result if the
CHECKSUM function has column arguments, and an index is built over the computed
CHECKSUM value. This can be used for equality searches over the columns.
CHECKSUM function satisfies hash function properties:
CHECKSUM applied over any two lists of expressions will return the same value, if the corresponding elements of the two lists have the same data type, and if those corresponding elements have equality when compared using the equals (=) operator. Null values of a specified type are defined to compare as equal for
CHECKSUM function purposes. If at least one of the values in the expression list changes, the list checksum will probably change. However, this is not guaranteed.
Therefore, to detect whether values have changed, we recommend use of
CHECKSUM only if your application can tolerate an occasional missed change. Otherwise, consider using
HASHBYTES instead. With a specified MD5 hash algorithm, the probability that
HASHBYTES will return the same result, for two different inputs, is much lower compared to
The expression order affects the computed
CHECKSUM value. The order of columns used for
CHECKSUM(*) is the order of columns specified in the table or view definition. This includes computed columns.
CHECKSUM value depends on the collation. The same value stored with a different collation will return a different
CHECKSUM () does not guarantee unique results.
These examples show the use of
CHECKSUM to build hash indexes.
To build the hash index, the first example adds a computed checksum column to the table we want to index. It then builds an index on the checksum column.
-- Create a checksum index. SET ARITHABORT ON; USE AdventureWorks2012; GO ALTER TABLE Production.Product ADD cs_Pname AS CHECKSUM(Name); GO CREATE INDEX Pname_index ON Production.Product (cs_Pname); GO
This example shows the use of a checksum index as a hash index. This can help improve indexing speed when the column to index is a long character column. The checksum index can be used for equality searches.
/*Use the index in a SELECT query. Add a second search condition to catch stray cases where checksums match, but the values are not the same.*/ SELECT * FROM Production.Product WHERE CHECKSUM(N'Bearing Ball') = cs_Pname AND Name = N'Bearing Ball'; GO
Index creation on the computed column materializes the checksum column, and any changes to the
ProductName value will propagate to the checksum column. Alternatively, we could build an index directly on the column we want to index. However, for long key values, a regular index will probably not perform as well as a checksum index.