The performance of dynamic SQL is one of the most vexing issues for DB2 developers and DBAs. In the past, most shops tried to avoid it, but that is no longer possible for modern systems. ERP/CRM systems, Java/JDBC programming, .NET programming, and web applications all rely heavily on dynamic SQL, and as such, dynamic SQL has become ubiquitous in DB2 shops everywhere.
So why did DBAs attempt to strictly control dynamic SQL usage in days gone by? Well, the biggest reason is that the access path for each SQL statement is not known until execution time with dynamic SQL. Static SQL, on the other hand, is optimized before it is run and all of the access paths are available in the PLAN_TABLE for examination if performance problems occur. And in older releases of DB2, the time to prepare dynamic SQL for execution was slow and caused performance issues. But as new and faster versions of DB2 are released, many improvements have been made to how dynamic SQL is used and optimized.
I suppose that you can still find some valid reasons for prohibiting dynamic SQL. For example, you should avoid dynamic SQL when the dynamic SQL statements are just a series of static SQL statements in disguise. Consider an application that needs two or three predicates for one SELECT statement that is otherwise unchanged. Coding three static SELECT statements can be more efficient than coding one dynamic SELECT with a changeable predicate. The static SQL takes more time to code (maybe) but probably less time to execute.
The prevailing reason for avoiding dynamic SQL is the belief that requires more overhead to process than equivalent static SQL. Dynamic SQL incurs overhead because the cost of the dynamic bind, or PREPARE, must be added to the processing time of all dynamic SQL programs. But this overhead is not quite as costly as many people seem to think it is… especially with new-ish options like caching dynamic statements.
To determine the cost of a dynamic bind, consider running some queries using SPUFI with the DB2 Performance trace turned on. Then examine the performance reports or performance monitor output to determine the elapsed and TCB time required to perform the PREPARE. The results should show elapsed times less than 1 second and subsecond TCB times. The actual time required to perform the dynamic prepare will vary with the complexity of the SQL statement. In general, the more complex the statement, the longer DB2 will take to optimize it. So be sure to test SQL statements of varying complexity.
Of course, the times you get will vary based on your environment, the type of dynamic SQL you use, and the complexity of the statement being prepared. Complex SQL statements with many joins, table expressions, unions, and subqueries take longer to PREPARE than simple queries. However, factors such as the number of columns returned or the size of the table being accessed have little or no effect on the performance of the dynamic bind.
Remember, too, that prepared dynamic SQL can be cached in the EDM pool so that the same SQL statement can reuse the mini plan for the statement the next time it runs. Of course, the SQL statement has to be the same (for the most part). Although there are specific rules that DB2 follows for using the dynamic SQL cache (DSC), I won’t go into them all in this blog post.
Keep in mind, too, that performance is not the only factor when deciding whether or not to use dynamic SQL. For example, if a dynamic SQL statement runs a little longer than a static SQL statement but saves days of programming cost then perhaps dynamic SQL is the better choice. It all depends on what is more important — the cost of development and maintenance or squeezing out every last bit of performance at any cost.
Overhead issues notwithstanding, there are valid performance reasons for favoring dynamic SQL, too. For example, dynamic SQL can enable better use of indexes, choosing different indexes for different SQL formulations. Properly coded, dynamic SQL can use the column distribution statistics stored in the DB2 catalog, whereas static SQL is limited in how it can use these statistics. Use of the distribution statistics can cause DB2 to choose different access paths for the same query when different values are supplied to its predicates.
The REOPT bind parameter can be used to allow static SQL containing host variables or special registers to behave like incremental-bind statements. When dynamic reoptimization is activated, a dynamic bind similar to what is performed for dynamic SQL is performed. This means that these statements get compiled at the time of EXECUTE or OPEN instead of at BIND time. During this compilation, the access plan is chosen, based on the real values of these variables.
Specifying REOPT ONCE causes the access plan to be cached after the first OPEN or EXECUTE request and it is used for subsequent execution of this statement. With REOPT ALWAYS, the access plan is regenerated for every OPEN and EXECUTE request, and the current set of host variable, parameter marker, and special register values is used to create this plan.
Additionally, consider that the KEEPDYNAMIC bind option can enhance the performance of dynamic SQL. When a plan or package is bound specifying KEEPDYNAMIC(YES), the prepared statement is maintained across COMMIT points. Contrast that with KEEPDYNAMIC(NO), where only cursors using the WITH HOLD option keep the prepared statement after a COMMIT.
Dynamic SQL usually provides the most efficient development techniques for applications with changeable requirements (for example, numerous screen-driven queries). In addition, dynamic SQL generally reduces the number of SQL statements coded in your application program, thereby reducing the size of the plan and increasing the efficient use of system memory.
So, if you have a compelling reason to use dynamic SQL, then by all means, go ahead and code up your program to use dynamic SQL. I mean, after all, it is no longer the early, dark days of DB2 when dynamic SQL almost certainly meant performance problems. And, as I mentioned in the beginning, dynamic SQL is likely to be foisted on you in your new, more modern applications even if you continue to desperately keep it out of your COBOL programs.
For more in-depth details on dynamic SQL, consider downloading the following IBM redbook: DB2 for z/OS and OS/390 : Squeezing the Most Out of Dynamic SQL.
This blog was originally published in Craig Mullins’ blog at: https://db2portal.blogspot.com/2007/02/dynamic-sql-and-performance.html
EPM applications help measure the business performance. This post will help you choose the best EPM solutions for your organization’s needs and objectives.
With serious financial penalties, SOX audits can be intimidating — but they don’t have to be. Find out how you can use Datavail’s software to automatically prove SOX compliance.