Amazon Redshift
Database Developer Guide

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Bit-Wise Aggregate Functions

Amazon Redshift supports the following bit-wise aggregate functions:


  • BIT_OR




The BIT_AND and BIT_OR functions run bit-wise AND and OR operations on all of the values in a single integer column or expression. These functions aggregate each bit of each binary value that corresponds to each integer value in the expression.

The BIT_AND function returns a result of 0 if none of the bits is set to 1 across all of the values. If one or more bits is set to 1 across all values, the function returns an integer value. This integer is the number that corresponds to the binary value for the those bits.

For example, a table contains four integer values in a column: 3, 7, 10, and 22. These integers are represented in binary form as follows:

Integer Binary value
3 11
7 111
10 1010
22 10110

A BIT_AND operation on this dataset finds that all bits are set to 1 in the second-to-last position only. The result is a binary value of 00000010, which represents the integer value 2; therefore, the BIT_AND function returns 2.

If you apply the BIT_OR function to the same set of integer values, the operation looks for any value in which a 1 is found in each position. In this case, a 1 exists in the last five positions for at least one of the values, yielding a binary result of 00011111; therefore, the function returns 31 (or 16 + 8 + 4 + 2 + 1).


The BOOL_AND and BOOL_OR functions operate on a single Boolean or integer column or expression. These functions apply similar logic to the BIT_AND and BIT_OR functions. For these functions, the return type is a Boolean value (true or false):

  • If all values in a set are true, the BOOL_AND function returns true (t). If any value is false, the function returns false (f).

  • If any value in a set is true, the BOOL_OR function returns true (t). If no value in a set is true, the function returns false (f).

NULLs in Bit-Wise Aggregations

When a bit-wise function is applied to a column that is nullable, any NULL values are eliminated before the function result is calculated. If no rows qualify for aggregation, the bit-wise function returns NULL. The same behavior applies to regular aggregate functions. For example:

select sum(venueseats), bit_and(venueseats) from venue where venueseats is null; sum | bit_and ------+--------- null | null (1 row)

DISTINCT Support for Bit-Wise Aggregations

Like other aggregate functions, bit-wise functions support the DISTINCT keyword. However, using DISTINCT with these functions has no impact on the results. The first instance of a value is sufficient to satisfy bitwise AND or OR operations, and it makes no difference if duplicate values are present in the expression being evaluated. Because the DISTINCT processing is likely to incur some query execution overhead, do not use DISTINCT with these functions.