Why does STRAIGHT_JOIN so drastically improve this query, and what does it mean when it is written after the SELECT keyword?

I have the following MySql query:

select t1.*
from Table1 t1
inner join Table2 t2
on t1.CommonID = t2.CommonID
where t1.FilterID = 1

It takes about 30 seconds to run, which was strange, because if I comment out the join or the where clause it takes less than a second:
i.e.

select t1.*
from Table1 t1
where t1.FilterID = 1

or

select t1.*
from Table1 t1
inner join Table2 t2
on t1.CommonID = t2.CommonID

each take less than a second.

Then there is the STRAIGHT_JOIN keyword, which I can find one reference of, here:
http://dev.mysql.com/doc/refman/5.0/en/join.html

STRAIGHT_JOIN is similar to JOIN,
except that the left table is always
read before the right table. This can
be used for those (few) cases for
which the join optimizer puts the
tables in the wrong order.

What?
I can write:

select t1.*
from Table1 t1
STRAIGHT_JOIN  Table2 t2
on t1.CommonID = t2.CommonID
where t1.FilterID = 1

and the query executes in less than a second.

Even stranger, I can write:

select STRAIGHT_JOIN  t1.*
from Table1 t1
inner join Table2 t2
on t1.CommonID = t2.CommonID
where t1.FilterID = 1

and it takes less than a second, and this syntax does not appear to even be legal.

I would guess the second example means that a STRAIGHT_JOIN will be used whenever an INNER JOIN is written, but I can’t find any documentation about it.

What is going on here, and how can the “join optimizer” result in such relatively poor performance? Should I always use STRAIGHT_JOIN? How can I tell when to use it or not?

Table1 and Table2 both have integer primary keys; FilterID is a foreign key to another table; the CommonID columns are both foreign keys to a third table. They both have indexes on them. The database engine is InnoDB.

Thanks

Answers:

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Method 1

What is going on here, and how can the “join optimizer” result in such relatively poor performance?

STRAIGHT_JOIN forces the join order of the tables, so table1 is scanned in the outer loop and table2 in the inner loop.

The optimizer is not perfect (though stil quite decent), and the most probable cause is the outdated statistics.

Should I always use STRAIGHT_JOIN

No, only when the optimizer is wrong. This may be if your data distribution is severely skewed or cannot be calculated properly (say, for spatial or fulltext indexes).

How can I tell when to use it or not?

You should collect the statistics, build the plans for both ways and understand what do these plans mean.

If you see that:

1. The automatically generated plan is not optimal and cannot be improved by the standard ways,
2. The STRAIGHT_JOIN version is better, you understand it always will and understand why it always will

, then use STRAIGHT_JOIN.

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