MySQL 索引优化案例

CREATE TABLE `employees` (
 `id` int(11) NOT NULL AUTO_INCREMENT,
 `name` varchar(24) NOT NULL DEFAULT '' COMMENT '姓名',
 `age` int(11) NOT NULL DEFAULT '0' COMMENT '年龄',
 `position` varchar(20) NOT NULL DEFAULT '' COMMENT '职位',
 `hire_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '入职时间',
 PRIMARY KEY (`id`),
 KEY `idx_name_age_position` (`name`,`age`,`position`) USING BTREE
 ) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8 COMMENT='员工记录表';

 INSERT INTO employees(name,age,position,hire_time) VALUES('LiLei',22,'manager',NOW());
 INSERT INTO employees(name,age,position,hire_time) VALUES('HanMeimei', 23,'dev',NOW());
 INSERT INTO employees(name,age,position,hire_time) VALUES('Lucy',23,'dev',NOW());

 ‐‐ 插入一些示例数据
 drop procedure if exists insert_emp;
 delimiter ;;
 create procedure insert_emp()
 begin
 declare i int;
 set i=1;
 while(i<=100000)do
 insert into employees(name,age,position) values(CONCAT('zhuge',i),i,'dev');
 set i=i+1;
 end while;
 end;;
 delimiter ;
 call insert_emp();

EXPLAIN SELECT * FROM employees WHERE name > 'LiLei' AND age = 22 AND position ='manager';

EXPLAIN SELECT * FROM employees force index(idx_name_age_position) WHERE name > 'LiLei' AND age = 22 AND position ='manager';

EXPLAIN SELECT name,age,position FROM employees WHERE name > 'LiLei' AND age = 22 AND position ='manager';

EXPLAIN SELECT * FROM employees WHERE name in ('LiLei','HanMeimei','Lucy') AND age = 22 AND position ='manager';

EXPLAIN SELECT * FROM employees WHERE (name = 'LiLei' or name = 'HanMeimei') AND age = 22 AND position ='manager';

EXPLAIN SELECT * FROM employees_copy WHERE name in ('LiLei','HanMeimei','Lucy') AND age = 22 AND position ='manager';

EXPLAIN SELECT * FROM employees_copy WHERE (name = 'LiLei' or name = 'HanMeimei') AND age = 22 AND position ='manager';

EXPLAIN SELECT * FROM employees WHERE name like 'LiLei%' AND age = 22 AND position ='manager';

EXPLAIN SELECT * FROM employees_copy WHERE name like 'LiLei%' AND age = 22 AND position ='manager';

mysql> set session optimizer_trace="enabled=on",end_markers_in_json=on;  --开启trace

mysql> select * from employees where name > 'a' order by position;

mysql> SELECT * FROM information_schema.OPTIMIZER_TRACE;

{
  "steps": [
    {
      "join_preparation": {    //第一阶段：SQL准备阶段，格式化sql
        "select#": 1,
        "steps": [
          {
            "expanded_query": " select `employees`.`id` AS `id`,`employees`.`name` AS `name`,`employees`.`age` AS `age`,`employees`.`position` AS `position`,`employees`.`hire_time` AS `hire_time` from `employees` where (`employees`.`name` > 'a') order by `employees`.`position`"
          }
        ] 
      } 
    },
    {
      "join_optimization": {    //第二阶段：SQL优化阶段
        "select#": 1,
        "steps": [
          {
            "condition_processing": {    //条件处理
              "condition": "WHERE",
              "original_condition": "(`employees`.`name` > 'a')",
              "steps": [
                {
                  "transformation": "equality_propagation",
                  "resulting_condition": "(`employees`.`name` > 'a')"
                },
                {
                  "transformation": "constant_propagation",
                  "resulting_condition": "(`employees`.`name` > 'a')"
                },
                {
                  "transformation": "trivial_condition_removal",
                  "resulting_condition": "(`employees`.`name` > 'a')"
                }
              ] 
            } 
          },
          {
            "substitute_generated_columns": {
            } 
          },
          {
            "table_dependencies": [    //表依赖详情
              {
                "table": "`employees`",
                "row_may_be_null": false,
                "map_bit": 0,
                "depends_on_map_bits": [
                ] 
              }
            ] 
          },
          {
            "ref_optimizer_key_uses": [
            ] 
          },
          {
            "rows_estimation": [    //预估表的访问成本
              {
                "table": "`employees`",
                "range_analysis": {
                  "table_scan": {     //全表扫描情况
                    "rows": 10123,    //扫描行数
                    "cost": 2054.7    //查询成本
                  } ,
                  "potential_range_indexes": [    //查询可能使用的索引
                    {
                      "index": "PRIMARY",    //主键索引
                      "usable": false,
                      "cause": "not_applicable"
                    },
                    {
                      "index": "idx_name_age_position",    //辅助索引
                      "usable": true,
                      "key_parts": [
                        "name",
                        "age",
                        "position",
                        "id"
                      ] 
                    }
                  ] ,
                  "setup_range_conditions": [
                  ] ,
                  "group_index_range": {
                    "chosen": false,
                    "cause": "not_group_by_or_distinct"
                  } ,
                  "analyzing_range_alternatives": {    //分析各个索引使用成本
                    "range_scan_alternatives": [
                      {
                        "index": "idx_name_age_position",
                        "ranges": [
                          "a < name"      //索引使用范围
                        ] ,
                        "index_dives_for_eq_ranges": true,
                        "rowid_ordered": false,    //使用该索引获取的记录是否按照主键排序
                        "using_mrr": false,
                        "index_only": false,       //是否使用覆盖索引
                        "rows": 5061,              //索引扫描行数
                        "cost": 6074.2,            //索引使用成本
                        "chosen": false,           //是否选择该索引
                        "cause": "cost"
                      }
                    ] ,
                    "analyzing_roworder_intersect": {
                      "usable": false,
                      "cause": "too_few_roworder_scans"
                    } 
                  } 
                } 
              }
            ] 
          },
          {
            "considered_execution_plans": [
              {
                "plan_prefix": [
                ] ,
                "table": "`employees`",
                "best_Access_path": {    //最优访问路径
                  "considered_access_paths": [   //最终选择的访问路径
                    {
                      "rows_to_scan": 10123,
                      "access_type": "scan",     //访问类型：为scan，全表扫描
                      "resulting_rows": 10123,
                      "cost": 2052.6,
                      "chosen": true,            //确定选择
                      "use_tmp_table": true
                    }
                  ] 
                } ,
                "condition_filtering_pct": 100,
                "rows_for_plan": 10123,
                "cost_for_plan": 2052.6,
                "sort_cost": 10123,
                "new_cost_for_plan": 12176,
                "chosen": true
              }
            ] 
          },
          {
            "attaching_conditions_to_tables": {
              "original_condition": "(`employees`.`name` > 'a')",
              "attached_conditions_computation": [
              ] ,
              "attached_conditions_summary": [
                {
                  "table": "`employees`",
                  "attached": "(`employees`.`name` > 'a')"
                }
              ] 
            } 
          },
          {
            "clause_processing": {
              "clause": "ORDER BY",
              "original_clause": "`employees`.`position`",
              "items": [
                {
                  "item": "`employees`.`position`"
                }
              ] ,
              "resulting_clause_is_simple": true,
              "resulting_clause": "`employees`.`position`"
            } 
          },
          {
            "reconsidering_access_paths_for_index_ordering": {
              "clause": "ORDER BY",
              "steps": [
              ] ,
              "index_order_summary": {
                "table": "`employees`",
                "index_provides_order": false,
                "order_direction": "undefined",
                "index": "unknown",
                "plan_changed": false
              } 
            } 
          },
          {
            "refine_plan": [
              {
                "table": "`employees`"
              }
            ] 
          }
        ] 
      } 
    },
    {
      "join_execution": {    //第三阶段：SQL执行阶段
        "select#": 1,
        "steps": [
        ] 
      } 
    }
  ] 
}
// 结论：全表扫描的成本低于索引扫描，所以mysql最终选择全表扫描

mysql> select * from employees where name > 'zzz' order by position;
mysql> SELECT * FROM information_schema.OPTIMIZER_TRACE;

# 查看trace字段可知索引扫描的成本低于全表扫描，所以mysql最终选择索引扫描

mysql> set session optimizer_trace="enabled=off";    //关闭trace

select * from employees limit 10000,10;

select * from employees where id > 90000 limit 5;

EXPLAIN select * from employees ORDER BY name limit 90000,5;

select * from employees e inner join (select id from employees order by name limit 90000,5) ed on e.id = ed.id;

CREATE TABLE `t1` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `a` int(11) DEFAULT NULL,
  `b` int(11) DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `idx_a` (`a`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

create table t2 like t1;

-- 插入一些示例数据
-- 往t1表插入1万行记录
dropprocedureifexistsinsert_t1;
delimiter;;
createprocedureinsert_t1()
begin
declareiint;
seti=1;
while(i<=10000)do
insertintot1(a,b)values(i,i);
seti=i+1;
endwhile;
end;;
delimiter;
callinsert_t1();

-- 往t2表插入100行记录
dropprocedureifexistsinsert_t2;
delimiter;;
createprocedureinsert_t2()
begin
declareiint;
seti=1;
while(i<=100)do
insertintot2(a,b)values(i,i);
seti=i+1;
endwhile;
end;;
delimiter;
callinsert_t2();

EXPLAIN select * from t1 inner join t2 on t1.a= t2.a;

EXPLAIN select * from t1 inner join t2 on t1.b= t2.b;

select * from A where id in (select id from B)
#等价于： 　　
for(select id from B){
    select * from A where A.id = B.id
}

select * from A where exists (select 1 from B where B.id = A.id)
#等价于: 
for(select * from A){
  select * from B where B.id = A.id 
} 
#A表与B表的ID字段应建立索引

EXPLAIN select count(1) from employees;
EXPLAIN select count(id) from employees;
EXPLAIN select count(name) from employees;
EXPLAIN select count(*) from employees;