PostgreSQL 8.2.11 Documentation
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# 35.6. Rules versus Triggers

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.

On the other hand, a trigger that is fired on `INSERT` on a view can do the same as a rule: put the data somewhere else and suppress the insert in the view. But it cannot do the same thing on `UPDATE` or `DELETE`, because there is no real data in the view relation that could be scanned, and thus the trigger would never get called. Only a rule will help.

For the things that can be implemented by both, which is best depends on the usage of the database. A trigger is fired for any affected row once. A rule manipulates 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 execute its operations 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:

    CREATE TABLE computer (
        hostname        text,    -- indexed
        manufacturer    text     -- indexed
    );

    CREATE TABLE software (
        software        text,    -- indexed
        hostname        text     -- indexed
    );

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:

    DELETE FROM software WHERE hostname = $1;

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

    CREATE RULE computer_del AS ON DELETE TO computer
        DO DELETE FROM software WHERE hostname = OLD.hostname;

Now we look at different types of deletes. In the case of a

    DELETE FROM computer WHERE hostname = 'mypc.local.net';

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

    DELETE FROM software WHERE computer.hostname = 'mypc.local.net'
                           AND software.hostname = computer.hostname;

Since there are appropriate indexes setup, the planner will create a plan of

    Nestloop
      ->  Index Scan using comp_hostidx on computer
      ->  Index Scan using soft_hostidx on software

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

    DELETE FROM computer WHERE hostname >= 'old'
                           AND hostname <  'ole'

The command added by the rule will be

    DELETE FROM software WHERE computer.hostname >= 'old' AND computer.hostname < 'ole'
                           AND software.hostname = computer.hostname;

with the plan

    Hash Join
      ->  Seq Scan on software
      ->  Hash
        ->  Index Scan using comp_hostidx on computer

The other possible command is

    DELETE FROM computer WHERE hostname ~ '^old';

which results in the following executing plan for the command added by the rule:

    Nestloop
      ->  Index Scan using comp_hostidx on computer
      ->  Index Scan using soft_hostidx on software

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

    DELETE FROM computer WHERE manufacturer = 'bim';

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

    DELETE FROM software WHERE computer.manufacturer = 'bim'
                           AND software.hostname = computer.hostname;

The plan for that command will again be the nested loop over two index scans, only using a different index on `computer`:

    Nestloop
      ->  Index Scan using comp_manufidx on computer
      ->  Index Scan using soft_hostidx on software

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.

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