带范围准则的连接表的MySQL优化

Question

我将通过在一个表中使用一个位置到另一个表中的范围(由两列表示)连接两个表。

然而，表演太慢，大约是20分钟。我尝试过在表上添加索引或更改查询。但是表演还是很差。

因此，我要求优化连接速度。

下面是对MySQL的查询。

mysql> SELECT `inVar`.chrom, `inVar`.pos, `openChrom_K562`.score
    -> FROM `inVar`
    -> LEFT JOIN `openChrom_K562`
    -> ON (
    -> `inVar`.chrom=`openChrom_K562`.chrom AND
    -> `inVar`.pos BETWEEN `openChrom_K562`.chromStart AND `openChrom_K562`.chromEnd
    -> );

inVar和openChrom_K562是我使用的表。

inVar在每一行中存储单个位置。

openChrom_K562存储由chromStart和chromEnd指示的范围信息。

inVar包含57902行，openChrom_K562分别包含137373行。

桌子上的字段。

mysql> DESCRIBE inVar;
+-------+-------------+------+-----+---------+-------+
| Field | Type        | Null | Key | Default | Extra |
+-------+-------------+------+-----+---------+-------+
| chrom | varchar(31) | NO   | PRI | NULL    |       |
| pos   | int(10)     | NO   | PRI | NULL    |       |
+-------+-------------+------+-----+---------+-------+

mysql> DESCRIBE openChrom_K562;
+------------+-------------+------+-----+---------+-------+
| Field      | Type        | Null | Key | Default | Extra |
+------------+-------------+------+-----+---------+-------+
| chrom      | varchar(31) | NO   | MUL | NULL    |       |
| chromStart | int(10)     | NO   | MUL | NULL    |       |
| chromEnd   | int(10)     | NO   |     | NULL    |       |
| score      | int(10)     | NO   |     | NULL    |       |
+------------+-------------+------+-----+---------+-------+

表中构建的索引

mysql> SHOW INDEX FROM inVar;
+-------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+-------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| inVar |          0 | PRIMARY  |            1 | chrom       | A         |        NULL |     NULL | NULL   |      | BTREE      |         |
| inVar |          0 | PRIMARY  |            2 | pos         | A         |       57902 |     NULL | NULL   |      | BTREE      |         |
+-------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+

mysql> SHOW INDEX FROM openChrom_K562;
+----------------+------------+-------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| Table          | Non_unique | Key_name    | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+----------------+------------+-------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| openChrom_K562 |          1 | start_end   |            1 | chromStart  | A         |      137373 |     NULL | NULL   |      | BTREE      |         |
| openChrom_K562 |          1 | start_end   |            2 | chromEnd    | A         |      137373 |     NULL | NULL   |      | BTREE      |         |
| openChrom_K562 |          1 | chrom_only  |            1 | chrom       | A         |          22 |     NULL | NULL   |      | BTREE      |         |
| openChrom_K562 |          1 | chrom_start |            1 | chrom       | A         |          22 |     NULL | NULL   |      | BTREE      |         |
| openChrom_K562 |          1 | chrom_start |            2 | chromStart  | A         |      137373 |     NULL | NULL   |      | BTREE      |         |
| openChrom_K562 |          1 | chrom_end   |            1 | chrom       | A         |          22 |     NULL | NULL   |      | BTREE      |         |
| openChrom_K562 |          1 | chrom_end   |            2 | chromEnd    | A         |      137373 |     NULL | NULL   |      | BTREE      |         |
+----------------+------------+-------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+

基于MySQL的执行计划

mysql> EXPLAIN SELECT `inVar`.chrom, `inVar`.pos, score  FROM `inVar`  LEFT JOIN `openChrom_K562`  ON ( inVar.chrom=openChrom_K562.chrom AND  `inVar`.pos BETWEEN chromStart AND chromEnd );
+----+-------------+----------------+-------+--------------------------------------------+------------+---------+-----------------+-------+-------------+
| id | select_type | table          | type  | possible_keys                              | key        | key_len | ref             | rows  | Extra       |
+----+-------------+----------------+-------+--------------------------------------------+------------+---------+-----------------+-------+-------------+
|  1 | SIMPLE      | inVar          | index | NULL                                       | PRIMARY    | 37      | NULL            | 57902 | Using index |
|  1 | SIMPLE      | openChrom_K562 | ref   | start_end,chrom_only,chrom_start,chrom_end | chrom_only | 33      | tmp.inVar.chrom |  5973 |             |
+----+-------------+----------------+-------+--------------------------------------------+------------+---------+-----------------+-------+-------------+

似乎只有在两个表中查看chrom才能进行优化。然后在桌子上做蛮力比较。

是否有任何方法来做进一步的优化，如索引位置？

(这是我第一次发帖，很抱歉发帖质量很差。)

Answer 1

chrom_only可能是连接的糟糕索引选择，因为只有chrom 22值。

如果我正确地解释了这一点，那么如果使用start_end，查询应该会更快

SELECT `inVar`.chrom, `inVar`.pos, `openChrom_K562`.score
FROM `inVar`
LEFT JOIN `openChrom_K562`
USE INDEX (`start_end`)
ON (
`inVar`.chrom=`openChrom_K562`.chrom AND
`inVar`.pos BETWEEN `openChrom_K562`.chromStart AND `openChrom_K562`.chromEnd
)