当使用索引时，Mysql解释查询类型为“ALL”

Question

I ran a query in Mysql like below:

EXPLAIN
SELECT *
FROM(
        SELECT *  # Select Number 2
        FROM post
        WHERE   parentid = 13
        ORDER BY time, id
        LIMIT 1, 10
    ) post13_childs
JOIN post post13_childs_childs
ON post13_childs_childs.parentid = post13_childs.id

and the result was:

id |select_type  |table               |type |possible_keys  |key      |key_len  |ref              |rows    |Extra
1  |PRIMARY      |<derived2>          |ALL  | NULL          | NULL    |NULL     |NULL             |10      |
1  |PRIMARY      |post13_childs_childs|ref  |parentid       |parentid |9        |post13_childs.id |10      |Using where
2  |DERIVED      |post                |ALL  |parentid       |parentid |9        |                 |153153  |Using where; Using filesort

This means it used the index parentid but scaned all rows due to ALL and 153153 . Why could not the index help to not Full Scannig ?

Although if i run the derived query (Select #2) alone like below:

Explain
SELECT * FROM post  
WHERE parentid=13
ORDER BY time , id
LIMIT 1,10

the result would be desired:

id |select_type  |table  |type |possible_keys  |key      |key_len  |ref  |rows    |Extra
1  |SIMPLE       |post   |ref  |parentid       |parentid |9        |const|41      |Using where; Using filesort

Edit:

The table post has these indexes:

1. id (PRIMARY)
2. parentid
3. time, id (timeid)

count of total rows --> 141280.
count of children of 13 ( parentid=13 ) --> 41
count of children of 11523 --> 10119

When i add index of (parent,time,id) , problem of first query would be solved by the explin output for 13 --> 40 rows, type:ref
and for 11523 --> 19538 rows, type:ref!!! this Means all children rows of 11423 is examined while i limited first 10 rows.

Answer 1

Your subquery:

    SELECT *  # Select Number 2
    FROM post
    WHERE   parentid = 13
    ORDER BY time, id
    LIMIT 1, 10;

This mentions three columns explicitly, plus all the rest of the columns You have three indexes. Here is how they can be used:

• id (PRIMARY) -- This index is useless. Although mentioned in the order by clause, it is the second condition
• parentid -- This index can be used for satisfying the where clause. However, after the correct data is pulled, it then would need to be sorted explicitly.
• time, id (timeid) -- This index can be used for the sort, with a big BUT. MySQL can scan the index to get everything in the right order. But it will have to check, row-by-row, whether the condition on parentid is met.

Just to introduce why optimization is hard. If you have a small amount of data (say the table fits on one or two pages), then a full table scan followed by a sort is probably fine. If most of the parentid values are 13 , then the second index could be a worst case. If the table does not fit into memory, then the third would be incredibly slow (something called page thrashing ).

The correct index for this subquery is one that satisfies the where clause and allows ordering. That index is parentid, time, id . This is not a covering index (unless these are all the columns in the table). But it should reduce the number of hits to actual rows to 10 because of the limit clause.

Note that for the complete query, you want an index on parentid . And, happily, an index on parentid, time, id counts as such an index. So, you can remove that index. The time, id index is probably not necessary, unless you need that for other queries.

Your query is also filtering only those "children" that have "children" themselves. It is quite possible that no rows will be returned. Do you really intend a left outer join ?

As a final comment. I assume that this query is a simplification of your real query. The query is pulling all columns from two tables -- and those two tables are the same. That is, you will be getting duplicate column names from identical tables. You should have column aliases to better define the columns.

Answer 2

Doing an ORDER BY that is not helped by any index can regularly kill performance. For the inner query, I would have a covering index on (parentID, time, id ) so that both the WHERE and ORDER BY clauses can utilize the index. Since the parentID is also the basis of the join afterwords, it should be good to go there to and be quite fast.