As a DBA, your sacred duty is to take whatever data was entrusted to you, and leave it as is.
A NULL in a field usually means "DATA was not entered" or "DATA is not applicable" (but can have other meanings - it is context specific), and may actually MEAN something to the business layer. An empty string may actually be what the user entered and WANTS. Of course, I am generalizing - possibly the reason you get either NULLs or '' (empty strings) is due to some sloppy coding in the business layer (let us hope not, though).
Either way, have a chat with whoever provides the Middle Tier and see what they are using NULL vs Empty String for - and then go from there. Maybe they are thinking that they always pass in an Empty String (or always NULLS) and are not aware of the randomness (in which case advise them on what you think should be the standard), or maybe NULL really is information to them
For the sake of simplicity, triggers are the way to go for implementing any kind of tracking of database changes. However, you need to be aware of what happens under the hood when you use triggers.
According to MySQL Stored Procedure Programming, page 256 under the head "Trigger Overhead" says the following:
It is important to remember that, by necessity, triggers add overhead
to the DML statement to which they apply. the actual amount of overhead
will depend upon the nature of the trigger, but --- as all MySQL
triggers execute FOR EACH ROW --- the overhead can rapidly accumulate
for statements that process large numbers of rows. You should
therefore avoid placing any expensive SQL statements or procedural
code in triggers.
An expanded explanation of trigger overhead is given on pages 529-531. The conclulding point from that section states the following:
The lesson here is this: since the trigger code will execute once
for every row affected by a DML statement, the trigger can easily
become the most significant factor in DML performance. Code inside the
trigger body needs to be as lightweight as possible and -- in
particular -- any SQL statements in the trigger should be supported by
indexes whenever possible.
Not mentioned in the book is another factor when using triggers: When it comes to audit logging, please be aware of what you log data into. I say this because should you choose to log to a MyISAM table, each INSERT into a MyISAM table produces a full table lock during the INSERT. This can become a serious bottleneck in a high-traffic, high-transaction environment. Additionally, if the trigger is against an InnoDB table and you log changes in MyISAM from within the trigger, this will secretly disabled ACID compliance (i.e., reduce block transactions to autocommit behavior), which is cannot be rolled back.
When using triggers on InnoDB tables and logging changes
- The table you log to is also InnoDB
- You have autocommit turned off
- You setup START TRANSACTION...COMMIT/ROLLBACK blocks thoroughly
In this way, audit logs can benefit from COMMIT/ROLLBACK as would main tables.
Concerning using stored procedures, you would have to painstakingly call the stored procedure at every point of DML against the table being tracked. One could easily miss logging changes in the face of tens of thousands of lines of application code. Placing such code in a trigger eliminates finding all those DML statements.
CAVEAT
Depending on how complex the trigger is, it can still be a bottleneck. If you want to reduce bottlenecks in audit logging, there is something you can do. However, it will require a little infrastructure change.
Using commodity hardware, create two more DB Servers
This will server to reduce write I/O on the main database (MD) due to audit logging. Here is how you can accomplish it:
Step 01) Turn on binary logging in the main database.
Step 02) Using an inexpensive server, setup MySQL (same version as MD) with binary logging enabled. This will be DM. Setup replication from MD to DM.
Step 03) Using a second inexpensive server, setup MySQL (same version as MD) with binary logging disabled. Setup each audit table to use --replicate-do-table. This will be AU. Setup replication from DM to AU.
Step 04) mysqldump the table structures from MD and load it into DM and AU.
Step 05) Convert all audit tables in MD to use the BLACKHOLE storage engine
Step 06) Convert all tables in DM and AU to use the BLACKHOLE storage engine
Step 07) Convert all audit tables in AU to use the MyISAM storage engine
When done
- DM will replicate from MD and record stuff in its binary log only
- With --replicate-do-table filter on all audit tables, AU will replicate from DM
What this does is store audit info on a separate DB server and also reduce any write I/O degradation that MD would normally have.
Best Answer
There are a few options that you could use for this. The first would be to just set default values within the procedure declaration to guarantee that there would never be NULL values passed in for these parameters:
The second alternative to checking them one at a time is to just have a single statement that will set them based on a NULL value. Something along the lines of
The other alternative is that if you just want to see if any of the values is NULL before performing the action, you could pretty easily do a single if statement that checks for that sort of thing
Depending on the value of the
CONCAT_NULL_YIELDS_NULL
setting, you could also use:I am sure there are other alternatives as well, but I would think one of these would get you where you need to go.