By Allen Browne. Created March 2007. Updated January 2009.
Validation rules prevent bad data being saved in your table. Basically, they look like criteria in a query.
You can create a rule for a field (lower pane of table design), or for the table (in the Properties box in table design.) Use the table's rule to compare fields.
There is one trap to avoid. In some versions of Access, you will not be able to leave the field blank once you add the validation rule, i.e. you must enter something that satisfies the rule. If you need to be able to leave the field blank, add OR Is Null to your rule. (Some versions accept Nulls anyway, but we recommend you make it explicit for clarity and consistency.)
This article explains how to use validation rules, and concludes with some thought provoking on when to use them.
When you select a field in table design, you see its Validation Rule property in the lower pane.
This rule is applied when you enter data into the field. You cannot tab to the next field until you enter something that satisfies the rule, or undo your entry.
|To do this ...||Validation Rule for Fields||Explanation|
|Accept letters (a - z) only||Is Null OR Not Like "*[!a-z]*"||Any character outside the range A to Z is rejected. (Case insensitive.)|
|Accept digits (0 - 9) only||Is Null OR Not Like "*[!0-9]*"||Any character outside the range 0 to 9 is rejected. (Decimal point and negative sign rejected.)|
|Letters and spaces only||Is Null Or Not Like "*[!a-z OR "" ""]*"||Punctuation and digits rejected.|
|Digits and letters only||Is Null OR Not Like "*[!((a-z) or (0-9))]*"||Accepts A to Z and 0 to 9, but no punctuation or other characters.|
|Exactly 8 characters||Is Null OR Like "????????"||The question mark stands for one character.|
|Exactly 4 digits||Is Null OR Between 1000 And 9999||For Number fields.|
|Is Null OR Like "####"||For Text fields.|
|Positive numbers only||Is Null OR >= 0||Remove the "=" if zero is not allowed either.|
|No more than 100%||Is Null OR Between -1 And 1||100% is 1. Use 0 instead of -1 if negative percentages are not allowed.|
|Not a future date||Is Null OR <= Date()|
|Email address||Is Null OR ((Like "*?@?*.?*") AND
(Not Like "*[ ,;]*"))
|Requires at least one character, @, at least one character, dot, at least one character. Space, comma, and semicolon are not permitted.|
|You must fill in Field1||Not Null||Same as setting the field's Required property, but lets you create a custom message (in the Validation Text property.)|
|Limit to specific choices||Is Null OR "M" Or "F"||It is better to use a lookup table for the list, but this may be useful for simple choices such as Male/Female.|
|Is Null OR IN (1, 2, 4, 8)||The IN operator may be simpler than several ORs.|
|Yes/No/Null field||Is Null OR 0 or -1||The Yes/No field in Access does not support Null as other databases do. To simulate a real Yes/No/Null data type, use a Number field (size Integer) with this rule. (Access uses 0 for False, and -1 for True.)|
In table design, open the Properties box and you see another Validation Rule. This is the rule for the table.
The rule is applied after all fields have been entered, just before the record is saved. Use this rule to compare values across different fields, or to delay validation until the last moment before the record is saved.
|To do this ...||Validation Rule for Table||Explanation|
|A booking cannot
end before it starts
|([StartDate] Is Null) OR
([EndDate] Is Null) OR
([StartDate] <= [EndDate])
|The rule is satisfied if either field is left blank; otherwise StartDate must be before (or the same as) EndDate.|
|If you fill in Field1,
Field2 is required also
|([Field1] Is Null) OR ([Field2] Is Not Null)||The rule is satisfied if Field1 is blank; otherwise it is satisfied only if Field2 is filled in.|
|You must enter Field1
or Field2, but not both
|([Field1] Is Null) XOR ([Field2] Is Null)||XOR is the exclusive OR.|
In designing a database, you walk a tightrope between blocking bad data and accepting anything. Ultimately, a database is only as good as the data it contains, so you want to do everything you can to limit bad data. On the other hand, truth is stranger than fiction, and your database must handle those weird real-world cases where the data exceeds the bounds of your imagination.
Take a BirthDate field, for example. Should you create a rule to ensure the user doesn't enter a future date? We would need some radically different physics to ever be entering people who are not yet born, so it sounds like a safe enough rule? But did you consider that the computer's date might be wrong? Would it be better to give a warning rather than block the entry?
The answer to that question is subjective. The question merely illustrates the need to think outside the box whenever you will block data, not merely to block things just because you cannot imagine a valid scenario for that data.
Validation Rules are absolute. You cannot bypass them, so you cannot use them for warnings. To give a warning instead, use an event of your form, such as Form_BeforeUpdate.
We suggested using this rule for comparing fields. In the ideal database design, the fields are not dependent on each other, so if you are comparing fields, you might consider whether there is another way to design the table.
Our first example above ensures that a booking does not end before it starts. There is therefore a dependency between these two fields. Could we redesign the table without that dependency? How about replacing EndDate with a Duration field? Duration would be a number in an applicable unit (e.g. days for hotel bookings, periods for school classrooms, or minutes for doctors appointments.) We use a calculated field in a query to get the EndDate. This may not be the best design for every case, but it is worth considering when you go to use the record-level validation rule.
You cannot use a validation rule where:
Use these alternatives instead of or in combination with validation rules:
Validation rules are very useful for keeping bad data out of your tables, but be careful not to overdo them. You don't want to block things that might be valid, though unexpected.
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