11/19/2022 0 Comments Neo4j allow null in result![]() So, allowing NULL values makes you work extra hard to get the kind of data you are looking for. How can nothing have or not have a length? It's like asking "What does that math equation smell like?" You can't make comparisons like that. This is because while a NULL value does NOT have a length, it is not a data type that makes sense with length. However, you can see that only one attempt returned 5. We were looking for 5 as records 4, 5, 7, 8, and 10 do not have values in them. To see how these behave differently, look at the following query where we are trying to find the number of fields that do not have values: This table has some empty strings (id: 7, 8, 10) and some NULL values (id: 4, 5). Take the following data table for example: id name But in SQL, NULL and empty string are very different and act very differently. ![]() ![]() On the ColdFusion end, this is not terrible as NULL values come across as empty strings (for the most part). A NULL value is basically an undefined values. For starters, NULL values are not the same as data values. I would recommend never allowing NULL values unless the field can logically have a NULL value (and even this I find this only really happens in DATE/TIME fields). If you look through people's DB structures, you'll see that a lot of people allow NULL values in their database. When you set up a database (at least in MS SQL Server) you can flag a field as allowing NULL values and which default values to take. ![]()
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