Test whether boolean expression yields false. NULL::boolean IS NOT TRUE → t (rather than NULL) Test whether boolean expression yields false or unknown. NULL::boolean IS TRUE → f (rather than NULL)

Test whether boolean expression yields true. Test whether value is not null (nonstandard syntax). Test whether value is null (nonstandard syntax). NULL IS NOT DISTINCT FROM NULL → t (rather than NULL) NULL IS DISTINCT FROM NULL → f (rather than NULL)ĭatatype IS NOT DISTINCT FROM datatype → booleanĮqual, treating null as a comparable value.ġ IS NOT DISTINCT FROM NULL → f (rather than NULL) Not equal, treating null as a comparable value.ġ IS DISTINCT FROM NULL → t (rather than NULL) Not between, after sorting the two endpoint values.ĭatatype IS DISTINCT FROM datatype → boolean These behave much like operators, but have special syntax mandated by the SQL standard.ĭatatype BETWEEN datatype AND datatype → booleanīetween (inclusive of the range endpoints).ĭatatype NOT BETWEEN datatype AND datatype → booleanĭatatype BETWEEN SYMMETRIC datatype AND datatype → booleanīetween, after sorting the two endpoint values.ĭatatype NOT BETWEEN SYMMETRIC datatype AND datatype → boolean There are also some comparison predicates, as shown in Table 9.2. Use the BETWEEN predicates shown below to perform range tests. Thus, expressions like 1 < 2 < 3 are not valid (because there is no < operator to compare a Boolean value with 3). Some cases of this sort are implemented directly by “ cross-type” comparison operators, but if no such operator is available, the parser will coerce the less-general type to the more-general type and apply the latter's comparison operator.Īs shown above, all comparison operators are binary operators that return values of type boolean. It is usually possible to compare values of related data types as well for example integer > bigint will work. In addition, arrays, composite types, and ranges can be compared if their component data types are comparable. These comparison operators are available for all built-in data types that have a natural ordering, including numeric, string, and date/time types. Hence, it is not possible to implement != and operators that do different things. != is an alias, which is converted to at a very early stage of parsing. These formulas work exactly the same in Google Sheets as in Excel.Is the standard SQL notation for “ not equal”. Read our article on Locking Cell References to learn more.

Instead, you should use locked cell references like this: =SUMIFS($C$3:$C$9,$B$3:$B$9,'>'&E3) To make our formulas easier to read, we’ve shown the formulas without locked cell references: =SUMIFS(C3:C9,B3:B9,'>'&E3)īut these formulas will not work properly when copy and pasted elsewhere in your file. Other logical operators can be used in this formula, such as:

Now we add the logical operator within double quotes (“”) and use & to join the operator and the value: '>'&E3 Instead, it is more flexible to use a separate cell to define the criteria’s value. Usually, it is bad practice to “hard-code” values into formulas. To include Revenue from Order Numbers which are greater than or equal to 527, we can modify the the criteria like so (“>=527”): =SUMIFS(C3:C9,B3:B9,'>=527') Sum if Greater Than – Cell References

Greater than or equal to