用 EXPLAIN 查看子查询的执行计划

TiDB 会执行多种子查询相关的优化，以提升子查询的执行性能。本文档介绍一些常见子查询的优化方式，以及如何解读 EXPLAIN 语句返回的执行计划信息。

本文档所使用的示例表数据如下：

CREATE TABLE t1 (id BIGINT NOT NULL PRIMARY KEY auto_increment, pad1 BLOB, pad2 BLOB, pad3 BLOB, int_col INT NOT NULL DEFAULT 0);
CREATE TABLE t2 (id BIGINT NOT NULL PRIMARY KEY auto_increment, t1_id BIGINT NOT NULL, pad1 BLOB, pad2 BLOB, pad3 BLOB, INDEX(t1_id));
CREATE TABLE t3 (
 id INT NOT NULL PRIMARY KEY auto_increment,
 t1_id INT NOT NULL,
 UNIQUE (t1_id)
);

INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM dual;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t1 SELECT NULL, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024), 0 FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
INSERT INTO t2 SELECT NULL, a.id, RANDOM_BYTES(1024), RANDOM_BYTES(1024), RANDOM_BYTES(1024) FROM t1 a JOIN t1 b JOIN t1 c LIMIT 10000;
UPDATE t1 SET int_col = 1 WHERE pad1 = (SELECT pad1 FROM t1 ORDER BY RAND() LIMIT 1);
INSERT INTO t3 SELECT NULL, id FROM t1 WHERE id < 1000;

SELECT SLEEP(1);
ANALYZE TABLE t1, t2, t3;

Inner join（无 UNIQUE 约束的子查询）

以下示例中，IN 子查询会从表 t2 中搜索一列 ID。为保证语义正确性，TiDB 需要保证 t1_id 列的值具有唯一性。使用 EXPLAIN 可查看到该查询的执行计划去掉重复项并执行 Inner Join 内连接操作：

EXPLAIN SELECT * FROM t1 WHERE id IN (SELECT t1_id FROM t2);

+----------------------------------+----------+-----------+------------------------------+---------------------------------------------------------------------------------------------------------------------------+
| id                               | estRows  | task      | access object                | operator info                                                                                                             |
+----------------------------------+----------+-----------+------------------------------+---------------------------------------------------------------------------------------------------------------------------+
| IndexJoin_14                     | 5.00     | root      |                              | inner join, inner:IndexLookUp_13, outer key:test.t2.t1_id, inner key:test.t1.id, equal cond:eq(test.t2.t1_id, test.t1.id) |
| ├─StreamAgg_49(Build)            | 5.00     | root      |                              | group by:test.t2.t1_id, funcs:firstrow(test.t2.t1_id)->test.t2.t1_id                                                      |
| │ └─IndexReader_50               | 5.00     | root      |                              | index:StreamAgg_39                                                                                                        |
| │   └─StreamAgg_39               | 5.00     | cop[tikv] |                              | group by:test.t2.t1_id,                                                                                                   |
| │     └─IndexFullScan_31         | 50000.00 | cop[tikv] | table:t2, index:t1_id(t1_id) | keep order:true                                                                                                           |
| └─IndexLookUp_13(Probe)          | 1.00     | root      |                              |                                                                                                                           |
|   ├─IndexRangeScan_11(Build)     | 1.00     | cop[tikv] | table:t1, index:PRIMARY(id)  | range: decided by [eq(test.t1.id, test.t2.t1_id)], keep order:false                                                       |
|   └─TableRowIDScan_12(Probe)     | 1.00     | cop[tikv] | table:t1                     | keep order:false                                                                                                          |
+----------------------------------+----------+-----------+------------------------------+---------------------------------------------------------------------------------------------------------------------------+
8 rows in set (0.00 sec)

由上述查询结果可知，TiDB 通过索引连接操作 | IndexJoin_14 将子查询做了连接转化。该执行计划首先在 TiKV 侧通过索引扫描算子 └─IndexFullScan_31 读取 t2.t1_id 列的值，然后由 └─StreamAgg_39 算子的部分任务在 TiKV 中对 t1_id 值进行去重，然后采用 ├─StreamAgg_49(Build) 算子的部分任务在 TiDB 中对 t1_id 值再次进行去重，去重操作由聚合函数 firstrow(test.t2.t1_id) 执行；之后将操作结果与 t1 表的主键相连接，连接条件是 eq(test.t1.id, test.t2.t1_id)。

Inner join（有 UNIQUE 约束的子查询）

在上述示例中，为了确保 t1_id 值在与表 t1 连接前具有唯一性，需要执行聚合运算。在以下示例中，由于 UNIQUE 约束已能确保 t3.t1_id 列值的唯一：

EXPLAIN SELECT * FROM t1 WHERE id IN (SELECT t1_id FROM t3);

+----------------------------------+---------+-----------+-----------------------------+---------------------------------------------------------------------------------------------------------------------------+
| id                               | estRows | task      | access object               | operator info                                                                                                             |
+----------------------------------+---------+-----------+-----------------------------+---------------------------------------------------------------------------------------------------------------------------+
| IndexJoin_17                     | 1978.13 | root      |                             | inner join, inner:IndexLookUp_16, outer key:test.t3.t1_id, inner key:test.t1.id, equal cond:eq(test.t3.t1_id, test.t1.id) |
| ├─TableReader_44(Build)          | 1978.00 | root      |                             | data:TableFullScan_43                                                                                                     |
| │ └─TableFullScan_43             | 1978.00 | cop[tikv] | table:t3                    | keep order:false                                                                                                          |
| └─IndexLookUp_16(Probe)          | 1.00    | root      |                             |                                                                                                                           |
|   ├─IndexRangeScan_14(Build)     | 1.00    | cop[tikv] | table:t1, index:PRIMARY(id) | range: decided by [eq(test.t1.id, test.t3.t1_id)], keep order:false                                                       |
|   └─TableRowIDScan_15(Probe)     | 1.00    | cop[tikv] | table:t1                    | keep order:false                                                                                                          |
+----------------------------------+---------+-----------+-----------------------------+---------------------------------------------------------------------------------------------------------------------------+
6 rows in set (0.01 sec)

从语义上看，因为约束保证了 t3.t1_id 列值的唯一性，TiDB 可以直接执行 INNER JOIN 查询。

Semi Join（关联查询）

在前两个示例中，通过 StreamAgg 聚合操作或通过 UNIQUE 约束保证子查询数据的唯一性之后，TiDB 才能够执行 Inner Join 操作。这两种连接均使用了 Index Join。

下面的例子中，TiDB 优化器则选择了一种不同的执行计划：

EXPLAIN SELECT * FROM t1 WHERE id IN (SELECT t1_id FROM t2 WHERE t1_id != t1.int_col);

+-----------------------------+-----------+-----------+------------------------------+--------------------------------------------------------------------------------------------------------+
| id                          | estRows   | task      | access object                | operator info                                                                                          |
+-----------------------------+-----------+-----------+------------------------------+--------------------------------------------------------------------------------------------------------+
| MergeJoin_9                 | 45446.40  | root      |                              | semi join, left key:test.t1.id, right key:test.t2.t1_id, other cond:ne(test.t2.t1_id, test.t1.int_col) |
| ├─IndexReader_24(Build)     | 180000.00 | root      |                              | index:IndexFullScan_23                                                                                 |
| │ └─IndexFullScan_23        | 180000.00 | cop[tikv] | table:t2, index:t1_id(t1_id) | keep order:true                                                                                        |
| └─TableReader_22(Probe)     | 56808.00  | root      |                              | data:Selection_21                                                                                      |
|   └─Selection_21            | 56808.00  | cop[tikv] |                              | ne(test.t1.id, test.t1.int_col)                                                                        |
|     └─TableFullScan_20      | 71010.00  | cop[tikv] | table:t1                     | keep order:true                                                                                        |
+-----------------------------+-----------+-----------+------------------------------+--------------------------------------------------------------------------------------------------------+
6 rows in set (0.00 sec)

由上述查询结果可知，TiDB 执行了 Semi Join。不同于 Inner Join，Semi Join 仅允许右键 (t2.t1_id) 上的第一个值，也就是该操作将去除 Join 算子任务中的重复数据。Join 算法也包含 Merge Join，会按照排序顺序同时从左侧和右侧读取数据，这是一种高效的 Zipper Merge。

可以将原语句视为关联子查询，因为它引入了子查询外的 t1.int_col 列。然而，EXPLAIN 语句的返回结果显示的是关联子查询去关联后的执行计划。条件 t1_id != t1.int_col 会被重写为 t1.id != t1.int_col。TiDB 可以从表 t1 中读取数据并且在 └─Selection_21 中执行此操作，因此这种去关联和重写操作会极大提高执行效率。

Anti Semi Join （NOT IN 子查询）

在以下示例中，除非子查询中存在 t3.t1_id，否则该查询将（从语义上）返回表 t3 中的所有行：

EXPLAIN SELECT * FROM t3 WHERE t1_id NOT IN (SELECT id FROM t1 WHERE int_col < 100);

+----------------------------------+---------+-----------+-----------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| id                               | estRows | task      | access object               | operator info                                                                                                                 |
+----------------------------------+---------+-----------+-----------------------------+-------------------------------------------------------------------------------------------------------------------------------+
| IndexJoin_14                     | 1582.40 | root      |                             | anti semi join, inner:IndexLookUp_13, outer key:test.t3.t1_id, inner key:test.t1.id, equal cond:eq(test.t3.t1_id, test.t1.id) |
| ├─TableReader_35(Build)          | 1978.00 | root      |                             | data:TableFullScan_34                                                                                                         |
| │ └─TableFullScan_34             | 1978.00 | cop[tikv] | table:t3                    | keep order:false                                                                                                              |
| └─IndexLookUp_13(Probe)          | 1.00    | root      |                             |                                                                                                                               |
|   ├─IndexRangeScan_10(Build)     | 1.00    | cop[tikv] | table:t1, index:PRIMARY(id) | range: decided by [eq(test.t1.id, test.t3.t1_id)], keep order:false                                                           |
|   └─Selection_12(Probe)          | 1.00    | cop[tikv] |                             | lt(test.t1.int_col, 100)                                                                                                      |
|     └─TableRowIDScan_11          | 1.00    | cop[tikv] | table:t1                    | keep order:false                                                                                                              |
+----------------------------------+---------+-----------+-----------------------------+-------------------------------------------------------------------------------------------------------------------------------+
7 rows in set (0.00 sec)

上述查询首先读取了表 t3，然后根据主键开始探测 (probe) 表 t1。连接类型是 anti semi join，即反半连接：之所以使用 anti，是因为上述示例有不存在匹配值（即 NOT IN）的情况；使用 Semi Join 则是因为仅需要匹配第一行后就可以停止查询。

其他类型查询的执行计划

• MPP 模式查询的执行计划
• 索引查询的执行计划
• Join 查询的执行计划
• 聚合查询的执行计划
• 视图查询的执行计划
• 分区查询的执行计划
• 索引合并查询的执行计划