MySQL Execution Plan--IN子查询包含超多值引发的查询异常1

=======================================================================

SQL语句：

SELECT wave_no,
SUM(IF(picking_qty IS NULL, 0, picking_qty)) AS PICKED_QTY,
SUM(IF(differ_qty IS NULL, 0, differ_qty)) AS PICKED_DIFFER_QTY,
SUM(IF(relocate_qty IS NULL, 0, relocate_qty)) AS PICKED_RELOCATE_QTY FROM picking_locate_d
WHERE  yn = 0
AND wave_no IN
(
'BC76361213164811',
'BC76361213164810',
'BC76361213154684',
'BC76361213155125'
)
AND org_No= '661'
AND distribute_No = '763'
AND warehouse_No = '612'
GROUP BY wave_no;

执行计划：

+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+-------+----------+------------------------------------+
| id | select_type | table            | partitions | type  | possible_keys | key         | key_len | ref  | rows  | filtered | Extra                              |
+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+-------+----------+------------------------------------+
|  1 | SIMPLE      | picking_locate_d | NULL       | range | idx_wave_no   | idx_wave_no | 153     | NULL | 16000 |     0.10 | Using index condition; Using where |
+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+-------+----------+------------------------------------+

执行计划JOSN：

EXPLAIN: {
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "9548371.80"
    },
    "grouping_operation": {
      "using_filesort": false,
      "table": {
        "table_name": "picking_locate_d",
        "access_type": "index",
        "possible_keys": [
          "idx_wave_no"
        ],
        "key": "idx_wave_no",
        "used_key_parts": [
          "wave_no"
        ],
        "key_length": "153",
        "rows_examined_per_scan": 37518548,
        "rows_produced_per_join": 1875,
        "filtered": "0.01",
        "cost_info": {
          "read_cost": "9547996.61",
          "eval_cost": "375.19",
          "prefix_cost": "9548371.80",
          "data_read_per_join": "11M"
        },
        "used_columns": [
          "id",
          "wave_no",
          "picking_qty",
          "differ_qty",
          "relocate_qty",
          "org_no",
          "distribute_no",
          "warehouse_no",
          "yn"
        ],
        "attached_condition": "(
            (`report`.`picking_locate_d`.`yn` = 0)
            and (`report`.`picking_locate_d`.`wave_no` in ('BC76361213164811','BC76361213164810','BC76361213155124','BC76361213154684','BC76361213155125'))
            and (`report`.`picking_locate_d`.`org_no` = '661')
            and (`report`.`picking_locate_d`.`distribute_no` = '763')
            and (`report`.`picking_locate_d`.`warehouse_no` = '612')
        )"
      }
    }
  }
}

=======================================================================

将wave_no IN修改为CONCAT(wave_no,'') IN进行测试

SQL语句：

SELECT wave_no,
SUM(IF(picking_qty IS NULL, , picking_qty)) AS PICKED_QTY,
SUM(IF(differ_qty IS NULL, , differ_qty)) AS PICKED_DIFFER_QTY,
SUM(IF(relocate_qty IS NULL, , relocate_qty)) AS PICKED_RELOCATE_QTY FROM picking_locate_d
WHERE  yn =
AND CONCAT(wave_no,'') IN
(
'BC76361213164811',
'BC76361213164810',
'BC76361213154684',
'BC76361213155125'
)
AND org_No= ''
AND distribute_No = ''
AND warehouse_No = ''
GROUP BY wave_no

执行计划：

+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+----------+----------+-------------+
| id | select_type | table            | partitions | type  | possible_keys | key         | key_len | ref  | rows     | filtered | Extra       |
+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+----------+----------+-------------+
|   | SIMPLE      | picking_locate_d | NULL       | index | idx_wave_no   | idx_wave_no |      | NULL |  |     0.01 | Using where |
+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+----------+----------+-------------+

执行计划JSON：

EXPLAIN: {
  "query_block": {
    "select_id": ,
    "cost_info": {
      "query_cost": "9549155.40"
    },
    "grouping_operation": {
      "using_filesort": false,
      "table": {
        "table_name": "picking_locate_d",
        "access_type": "index",
        "possible_keys": [
          "idx_wave_no"
        ],
        "key": "idx_wave_no",
        "used_key_parts": [
          "wave_no"
        ],
        "key_length": "",
        "rows_examined_per_scan": ,
        "rows_produced_per_join": ,
        "filtered": "0.01",
        "cost_info": {
          "read_cost": "9548404.95",
          "eval_cost": "750.45",
          "prefix_cost": "9549155.40",
          "data_read_per_join": "22M"
        },
        "used_columns": [
          "id",
          "wave_no",
          "picking_qty",
          "differ_qty",
          "relocate_qty",
          "org_no",
          "distribute_no",
          "warehouse_no",
          "yn"
        ],
        "attached_condition": "(
            (`report`.`picking_locate_d`.`yn` = )
            and (concat(`report`.`picking_locate_d`.`wave_no`,'') in ('BC76361213164811','BC76361213164810','BC76361213154684','BC76361213155125'))
            and (`report`.`picking_locate_d`.`org_no` = '')
            and (`report`.`picking_locate_d`.`distribute_no` = '')
            and (`report`.`picking_locate_d`.`warehouse_no` = '')
        )"
      }
    }
  }
}

=======================================================================

去除org_No/distribute_No/warehouse_No任意列的过滤条件，如去除AND org_No= '661'

SQL语句

SELECT wave_no,
SUM(IF(picking_qty IS NULL, , picking_qty)) AS PICKED_QTY,
SUM(IF(differ_qty IS NULL, , differ_qty)) AS PICKED_DIFFER_QTY,
SUM(IF(relocate_qty IS NULL, , relocate_qty)) AS PICKED_RELOCATE_QTY FROM picking_locate_d
WHERE  yn =
AND wave_no IN
(
'BC76361213164811',
'BC76361213164810',
'BC76361213154684',
'BC76361213155125'
)
## AND org_No= ''
AND distribute_No = ''
AND warehouse_No = ''
GROUP BY wave_no;

执行计划：

+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+----------+----------+-------------+
| id | select_type | table            | partitions | type  | possible_keys | key         | key_len | ref  | rows     | filtered | Extra       |
+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+----------+----------+-------------+
|   | SIMPLE      | picking_locate_d | NULL       | index | idx_wave_no   | idx_wave_no |      | NULL |  |     0.01 | Using where |
+----+-------------+------------------+------------+-------+---------------+-------------+---------+------+----------+----------+-------------+

执行计划JSON

EXPLAIN: {
  "query_block": {
    "select_id": ,
    "cost_info": {
      "query_cost": "38400.01"
    },
    "grouping_operation": {
      "using_filesort": false,
      "table": {
        "table_name": "picking_locate_d",
        "access_type": "range",
        "possible_keys": [
          "idx_wave_no"
        ],
        "key": "idx_wave_no",
        "used_key_parts": [
          "wave_no"
        ],
        "key_length": "",
        "rows_examined_per_scan": ,
        "rows_produced_per_join": ,
        "filtered": "0.10",
        "index_condition": "(
            (`report`.`picking_locate_d`.`wave_no` in ('BC76361213164811','BC76361213164810','BC76361213154684','BC76361213155125'))
            and (`report`.`picking_locate_d`.`distribute_no` = '')
            and (`report`.`picking_locate_d`.`warehouse_no` = '')
        )",
        "cost_info": {
          "read_cost": "38396.81",
          "eval_cost": "3.20",
          "prefix_cost": "38400.01",
          "data_read_per_join": "98K"
        },
        "used_columns": [
          "id",
          "wave_no",
          "picking_qty",
          "differ_qty",
          "relocate_qty",
          "org_no",
          "distribute_no",
          "warehouse_no",
          "yn"
        ],
        "attached_condition": "(`report`.`picking_locate_d`.`yn` = 0)"
      }
    }
  }
}

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