In order to understand what "Allow Null" means, you need to understand what NULL is, and understand that it is different to simply a zero or blank string. It indicates data that does not exist. This is different to data that is blank. This may be useful to you in some cases. In many cases though, allowing NULL can be problematic. However NULL fields will not be returned; you need to write a special case for them. The unknown fields from the joined table will all be set to NULL.
In general, if you're not sure what to do with "Allow Null", the safest option is to set it to no allow nulls. Allow Null means that when you change or insert the data you dont need to fill that data in.
Its not compulsory. In essence, if you allow a null value you're saying that the field in question can contain a legitimate value e. As such, if you imagine a situation where a field was mandatory, it should always be denoted as NOT NULL in the schema declaration, whereas an optional field can be left as is.
Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Mysql: Allow Null meaning Ask Question. There is a point in re-declaring the variable.
I am pretty sure that a parameter sniffing issue could arise. I have seen this happen before where an or statement is used where the second part of the OR clause is checking if a variable is set to NULL. It is a minor bug in SQL Server. See my link above. Sign up or log in Sign up using Google.
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By doing this, we can get all the Springfield folks, either married or single, in one result set:. Null elements are very useful for representing real-life situations where a piece of information is absent.
But they should be used with caution to avoid adversely affecting the integrity of the information contained in the database. Need to get deeper into SQL practice? You will surely find plenty of resources in these 12 ways to practice SQL online.
Back to articles list Articles Cookbook. Tags: sql learn sql. Find out! Today, in the first post of the SQL patterns series, we will consider the match by null pattern. It's inevitable that some data in the database has no value. Find out what then with MySQL.
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