#示例表
表结构
sqlsql折叠展开
DROP TABLE IF EXISTS employees;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';测试数据
sqlsql折叠展开
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();#不同的索引选择
我们用一个查询语句来做示例,同样的查询条件,仅仅是查询参数的不同。
全表扫描示例
sqlsql折叠展开
EXPLAINSELECT *FROM employeesWHERE name > 'a';jsonjson折叠展开
[ { "id": 1, "select_type": "SIMPLE", "table": "employees", "partitions": null, "type": "ALL", "possible_keys": "idx_name_age_position", "key": null, "key_len": null, "ref": null, "rows": 100269, "filtered": 50, "Extra": "Using where" }]覆盖索引示例
sqlsql折叠展开
EXPLAINSELECT name, age, positionFROM employeesWHERE name > 'a';jsonjson折叠展开
[ { "id": 1, "select_type": "SIMPLE", "table": "employees", "partitions": null, "type": "range", "possible_keys": "idx_name_age_position", "key": "idx_name_age_position", "key_len": "74", "ref": null, "rows": 50134, "filtered": 100, "Extra": "Using where; Using index" }]走索引示例
sqlsql折叠展开
EXPLAINSELECT *FROM employeesWHERE name > 'zzz';jsonjson折叠展开
[ { "id": 1, "select_type": "SIMPLE", "table": "employees", "partitions": null, "type": "range", "possible_keys": "idx_name_age_position", "key": "idx_name_age_position", "key_len": "74", "ref": null, "rows": 1, "filtered": 100, "Extra": "Using index condition" }]可以看到,上述 3 种情况,MySQL 选择了不同的查询方案。 mysql 最终选择是否走索引或者一张表涉及多个索引最终选择哪个索引,我们可以用 trace 工具来一查究竟。
#trace 介绍
用法
开启 trace 工具会影响 MySQL 性能,所以只能临时分析 sql 使用,使用后应该立即关闭。
sqlsql折叠展开
# 开启traceSET SESSION optimizer_trace = "enabled=on",end_markers_in_json = ON; # 关闭 traceSET SESSION optimizer_trace = "enabled=off";使用 trace 工具查看语句:
sqlsql折叠展开
SELECT *FROM employeesWHERE name > 'a'ORDER BY position; SELECT *FROM information_schema.optimizer_trace;结果分析
jsonjson折叠展开
{ "steps": [ { /* 第一阶段,sql准备阶段,格式化sql */ "join_preparation": { "select#": 1, "steps": [ { "expanded_query": "/* select#1 */ 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`" } ] /* steps */ } /* join_preparation */ }, { /* 第二阶段,sql优化阶段 */ "join_optimization": { "select#": 1, "steps": [ { /* 条件处理 */ "condition_processing": { "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')" } ] /* steps */ } /* condition_processing */ }, { "substitute_generated_columns": { } /* substitute_generated_columns */ }, { /* 表依赖详情 */ "table_dependencies": [ { "table": "`employees`", "row_may_be_null": false, "map_bit": 0, "depends_on_map_bits": [ ] /* depends_on_map_bits */ } ] /* table_dependencies */ }, { "ref_optimizer_key_uses": [ ] /* ref_optimizer_key_uses */ }, { /* 预估表的访问成本 */ "rows_estimation": [ { "table": "`employees`", "range_analysis": { /* 全表扫描情况 */ "table_scan": { /* 扫描行数 */ "rows": 100269, /* 扫描成本 */ "cost": 20345 } /* table_scan */, /* 查询可能使用的索引 */ "potential_range_indexes": [ { /* 主键索引 */ "index": "PRIMARY", "usable": false, "cause": "not_applicable" }, { /* 辅助索引 */ "index": "idx_name_age_position", "usable": true, "key_parts": [ "name", "age", "position", "id" ] /* key_parts */ } ] /* potential_range_indexes */, "setup_range_conditions": [ ] /* setup_range_conditions */, "group_index_range": { "chosen": false, "cause": "not_group_by_or_distinct" } /* group_index_range */, /* 分析各个索引使用成本 */ "analyzing_range_alternatives": { "range_scan_alternatives": [ { "index": "idx_name_age_position", /* 索引使用范围 */ "ranges": [ "a < name" ] /* ranges */, "index_dives_for_eq_ranges": true, /* 使用该索引获取的记录是否按照主键排序 */ "rowid_ordered": false, "using_mrr": false, /* 是否使用覆盖索引 */ "index_only": false, /* 索引扫描行数 */ "rows": 50134, /* 索引扫描成本 */ "cost": 60162, /* 是否选择该索引 */ "chosen": false, "cause": "cost" } ] /* range_scan_alternatives */, "analyzing_roworder_intersect": { "usable": false, "cause": "too_few_roworder_scans" } /* analyzing_roworder_intersect */ } /* analyzing_range_alternatives */ } /* range_analysis */ } ] /* rows_estimation */ }, { "considered_execution_plans": [ { "plan_prefix": [ ] /* plan_prefix */, "table": "`employees`", /* 最优访问路径 */ "best_access_path": { /* 最终选择的访问路径 */ "considered_access_paths": [ { "rows_to_scan": 100269, /* 访问类型,scan为全表扫描 */ "access_type": "scan", "resulting_rows": 100269, "cost": 20343, /* 是否选择:是 */ "chosen": true, "use_tmp_table": true } ] /* considered_access_paths */ } /* best_access_path */, "condition_filtering_pct": 100, "rows_for_plan": 100269, "cost_for_plan": 20343, "sort_cost": 100269, "new_cost_for_plan": 120612, "chosen": true } ] /* considered_execution_plans */ }, { "attaching_conditions_to_tables": { "original_condition": "(`employees`.`name` > 'a')", "attached_conditions_computation": [ ] /* attached_conditions_computation */, "attached_conditions_summary": [ { "table": "`employees`", "attached": "(`employees`.`name` > 'a')" } ] /* attached_conditions_summary */ } /* attaching_conditions_to_tables */ }, { "clause_processing": { "clause": "ORDER BY", "original_clause": "`employees`.`position`", "items": [ { "item": "`employees`.`position`" } ] /* items */, "resulting_clause_is_simple": true, "resulting_clause": "`employees`.`position`" } /* clause_processing */ }, { "reconsidering_access_paths_for_index_ordering": { "clause": "ORDER BY", "steps": [ ] /* steps */, "index_order_summary": { "table": "`employees`", "index_provides_order": false, "order_direction": "undefined", "index": "unknown", "plan_changed": false } /* index_order_summary */ } /* reconsidering_access_paths_for_index_ordering */ }, { "refine_plan": [ { "table": "`employees`" } ] /* refine_plan */ } ] /* steps */ } /* join_optimization */ }, { /* 第三阶段,sql执行阶段 */ "join_execution": { "select#": 1, "steps": [ { "filesort_information": [ { "direction": "asc", "table": "`employees`", "field": "position" } ] /* filesort_information */, "filesort_priority_queue_optimization": { "usable": false, "cause": "not applicable (no LIMIT)" } /* filesort_priority_queue_optimization */, "filesort_execution": [ ] /* filesort_execution */, "filesort_summary": { "rows": 100003, "examined_rows": 100003, "number_of_tmp_files": 30, "sort_buffer_size": 262056, "sort_mode": "<sort_key, packed_additional_fields>" } /* filesort_summary */ } ] /* steps */ } /* join_execution */ } ] /* steps */}上述 json 结果中给出大部分关键字段的注释,可以看到当前执行语句,MySQL 分析全表扫描比走索引查询的成本 cost 更低,所以选择了全表扫描。
END · 2026.02.04


