PostgreSQL procedural languages - differences between PL/pgSQL and SQL Can anybody please summarize the differences between:

http://www.postgresql.org/docs/9.1/static/xfunc-sql.html

and 

http://www.postgresql.org/docs/9.1/static/plpgsql.html

?

Main points:


conceptional differences
given a problem family, convenience of use
political issues
PL/PgSQL and plain SQL functions are both part of a larger tool set, and should be viewed in that context. I tend to think of it in terms of an ascending scale of power matched by ascending complexity and cost, where you should use the simplest tool that'll do the job well:


Use views where possible
Where a view is not suitable, use an SQL function
Where an SQL function isn't suitable, use PL/PgSQL.
Where PL/PgSQL is too limited or not expressive enough, use PL/Perl, PL/Python, PL/V8, PL/Java, or whatever your preference is
... and where no PL will do the job, use an external program and possibly LISTEN and NOTIFY to talk to it.


Very frequently a view is sufficient when you think a function is needed. Even if it's extremely expensive to SELECT the whole view, WHERE clauses in the query referencing the view are usually pushed down into the view and may result in very different query plans. I've often had big performance improvements from converting SQL functions into views.

The main time you find you can't use a view and should consider an SQL function is when:


Parameters that can't be expressed as simple WHERE clauses are needed, like a parameter within a WITH expression
You want a security barrier via a SECURITY DEFINER function, and the security_barrier views in PostgreSQL 9.2 and above aren't sufficient for your needs;
You need parameters that aren't pushed down into sub-clauses of a view by the optimizer and want to control it more directly; or
There are lots of params or there's lots of repetition of the params, so it's impractical to write the query as a view.


For most of those tasks a plain SQL function works fine, and is often easier to read than PL/PgSQL. SQL functions declared STABLE or IMMUTABLE (and not also declared STRICT or SECURITY DEFINER) can also be inlined into the calling statement. That gets rid of the function call overhead and can also sometimes result in huge performance benefits when a WHERE condition in the calling function gets pushed down into the SQL function by the optimizer. Use SQL functions whenever they're sufficient for the task.

The main time SQL functions won't do the job is when you need lots of logic. If/then/else operations that you can't express as CASE statements, lots of re-use of calculated results, building values up from chunks, error handling, etc. PL/PgSQL comes in handy then. Choose PL/PgSQL when you can't use SQL functions or they're a poor fit, like for:


Dynamic SQL and dynamic DDL via the EXECUTE statement
When you want to RAISE errors/warnings for the logs or client
When you need exception handling - you can trap and handle errors with EXCEPTION blocks instead of having the whole transaction terminate on error
Complex conditional logic that doesn't fit CASE ... WHEN very well
Lots of re-use of calculated values that you can't do fit into WITH and CTEs
Building dynamic records
You need to perform an action after producing the result set


With common table expressions (CTEs), especially writable CTEs and WITH RECURSIVE I find I use PL/PgSQL a lot less than I used to because SQL is so much more expressive and powerful. I use views and plain SQL functions a lot more now. It's worth remembering that plain SQL functions can contain more than one statement; the last statement is the function's result.