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The SQL syntax to find all records where there is any entry in the field, even if the entry is 0. can be written as: SELECT * FROM __ WHERE __ IS NOT NULL The system will return all records where there is any entry in the field, even if that entry is 0. __ can be a numeric value or string data type and it does not have to be an actual column name. This query will work as well: SELECT * FROM __ WHERE ISNULL(__)=’0′ SELECT * FROM __ WHERE __IS NULL . Your SQL may vary depending on your database software but should follow this general syntax structure. In Microsoft Access you would use something like “=isnull” instead of “_is null”. You may also need quotes around your text so make sure those are included too! In other databases, you’ll want to check with their documentation for more information. When a value is NULL, it means that the value doesn’t exist. So when you run this SQL statement: __ WHERE __IS NULL , Oracle will return all records where there are any entries in the field (even if they’re 0), but not those with no entry at all. In other words, this query returns every row that has anything typed into the column – even if it’s just “0”. The results of your search could be very large and time-consuming to view in such cases! This may or may not be what you’re looking for, so make sure to double check before running queries like this one on production databases that have lots of data. A good way to avoid accidentally sorting through thousands of records is to include a condition in the WHERE clause. For example, __ WHERE (__=0) . This would only return rows where there are any entries and that entry is “0”. Alternatively, you could also use the SQL statement: __ LIKE ‘%invalid value%’ . The percentage sign (%) indicates wildcard search while asterisks (*) indicate an exact match of characters entered. If your column has values like “1234”, “12345678901234” or “abcdefg,” this will return all those as matches but not ones with just a single digit such as 123456. Again, make sure that this is what you’re looking for because it may require more time than necessary on