15.00 - HASHROW - Teradata Database

Teradata Database SQL Functions, Operators, Expressions, and Predicates

Teradata Database
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Programming Reference
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English (United States)
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Returns the hexadecimal row hash value for an expression or sequence of expressions. If no expression is specified, HASHROW returns the maximum hash code value.




Syntax element …

Specifies …


an optional expression or comma-separated list of expressions that can appear in the expression list of the select clause of a SELECT statement; typically a comma-separated list of column names that make up a (potential) index.

HASHROW does not support expressions that result in UDT data types.

ANSI Compliance

This is a Teradata extension to the ANSI SQL:2011 standard.


The resulting row hash value is typed BYTE(4).


IF the argument list is …



returns the maximum hash code value.

an expression that evaluates to NULL

returns '00000000'XB.


a list of expressions where all the expressions evaluate to NULL

an expression that evaluates to 0, '', ' ', or a similar value

a valid, non-NULL expression that can appear in the select list of a SELECT statement

evaluates expression or the list of expressions and applies the hash function on the result. HASHROW returns the resulting row hash value.

a list of expressions that can appear in the select list of a SELECT statement, where some expressions can evaluate to NULL

Usage Notes  

HASHROW is particularly useful for identifying the statistical properties of the current primary index, or to evaluate these properties for other columns to determine their suitability as a future primary index. You can also use these statistics to help minimize hash synonyms and enhance the uniformity of data distribution.

There are a maximum of 4,294,967,295 hash codes available in the system, ranging from '00000000'XB to 'FFFFFFFF'XB.

You can embed a HASHROW call within a HASHBUCKET call. For information on HASHBUCKET, see “HASHBUCKET” on page 898.


If you call HASHROW without an argument, it returns 'FFFFFFFF'XB, which is the maximum hash code in the system.



The following example returns the average number of rows per row hash, where columns date_field and time_field constitute the primary index of the table eventlog.

   SELECT COUNT(*) / COUNT(DISTINCT HASHROW (date_field,time_field)) 
   FROM eventlog;

If columns date_field and time_field qualify for a unique index, this example returns the average number of rows with the same hash synonym.


The following example evaluates the efficiency of changing the decimal format of a numeric field to eliminate synonyms.

Assume that column_1 and column_2 are declared as DECIMAL(2,2).

You can determine the effect of reformatting the columns to DECIMAL(8,6) and DECIMAL(8,4) on hash collisions by submitting these two queries.

   FROM T;
   column_2 (DECIMAL(8,4)))
   FROM T;

If the result of the second query is significantly less than the result of the first query, there are a significant number of hash collisions. That is, the closer the second result is to the first value indicates elimination of more hash synonyms.