Many things that can be done using triggers can also be implemented using the PostgreSQL rule system. One of the things that cannot be implemented by rules are some kinds of constraints, especially foreign keys. It is possible to place a qualified rule that rewrites a command to NOTHING
if the value of a column does not appear in another table. But then the data is silently thrown away and that's not a good idea. If checks for valid values are required, and in the case of an invalid value an error message should be generated, it must be done by a trigger.
In this chapter, we focused on using rules to update views. All of the update rule examples in this chapter can also be implemented using INSTEAD OF
triggers on the views. Writing such triggers is often easier than writing rules, particularly if complex logic is required to perform the update.
For the things that can be implemented by both, which is best depends on the usage of the database. A trigger is fired once for each affected row. A rule modifies the query or generates an additional query. So if many rows are affected in one statement, a rule issuing one extra command is likely to be faster than a trigger that is called for every single row and must re-determine what to do many times. However, the trigger approach is conceptually far simpler than the rule approach, and is easier for novices to get right.
Here we show an example of how the choice of rules versus triggers plays out in one situation. There are two tables:
Both tables have many thousands of rows and the indexes on hostname
are unique. The rule or trigger should implement a constraint that deletes rows from software
that reference a deleted computer. The trigger would use this command:
Since the trigger is called for each individual row deleted from computer
, it can prepare and save the plan for this command and pass the hostname
value in the parameter. The rule would be written as:
Now we look at different types of deletes. In the case of a:
the table computer
is scanned by index (fast), and the command issued by the trigger would also use an index scan (also fast). The extra command from the rule would be:
Since there are appropriate indexes set up, the planner will create a plan of
So there would be not that much difference in speed between the trigger and the rule implementation.
With the next delete we want to get rid of all the 2000 computers where the hostname
starts with old
. There are two possible commands to do that. One is:
The command added by the rule will be:
with the plan
The other possible command is:
which results in the following executing plan for the command added by the rule:
This shows, that the planner does not realize that the qualification for hostname
in computer
could also be used for an index scan on software
when there are multiple qualification expressions combined with AND
, which is what it does in the regular-expression version of the command. The trigger will get invoked once for each of the 2000 old computers that have to be deleted, and that will result in one index scan over computer
and 2000 index scans over software
. The rule implementation will do it with two commands that use indexes. And it depends on the overall size of the table software
whether the rule will still be faster in the sequential scan situation. 2000 command executions from the trigger over the SPI manager take some time, even if all the index blocks will soon be in the cache.
The last command we look at is:
Again this could result in many rows to be deleted from computer
. So the trigger will again run many commands through the executor. The command generated by the rule will be:
The plan for that command will again be the nested loop over two index scans, only using a different index on computer
:
In any of these cases, the extra commands from the rule system will be more or less independent from the number of affected rows in a command.
The summary is, rules will only be significantly slower than triggers if their actions result in large and badly qualified joins, a situation where the planner fails.\