這篇文章主要介紹了MySQL怎樣選擇合適的索引,具有一定借鑒價值,感興趣的朋友可以參考下,希望大家閱讀完這篇文章之后大有收獲,下面讓小編帶著大家一起了解一下。
創(chuàng)新互聯(lián)10多年成都定制網(wǎng)頁設(shè)計服務;為您提供網(wǎng)站建設(shè),網(wǎng)站制作,網(wǎng)頁設(shè)計及高端網(wǎng)站定制服務,成都定制網(wǎng)頁設(shè)計及推廣,對銅雕雕塑等多個領(lǐng)域擁有豐富的網(wǎng)站營銷經(jīng)驗的網(wǎng)站建設(shè)公司。
先來看一個栗子
EXPLAIN select * from employees where name > 'a';
如果用name索引查找數(shù)據(jù)需要遍歷name字段聯(lián)合索引樹,然后根據(jù)遍歷出來的主鍵值去主鍵索引樹里再去查出最終數(shù)據(jù),成本比全表掃描還高。
可以用覆蓋索引優(yōu)化,這樣只需要遍歷name字段的聯(lián)合索引樹就可以拿到所有的結(jié)果。
EXPLAIN select name,age,position from employees where name > 'a';
可以看到通過select出的字段是覆蓋索引,MySQL底層使用了索引優(yōu)化。在看另一個case:
EXPLAIN select * from employees where name > 'zzz';
對于上面的這兩種 name>'a' 和 name>'zzz'的執(zhí)行結(jié)果, mysql最終是否選擇走索引或者一張表涉及多個索引, mysql最終如何選擇索引,可以通過trace工具來一查究竟,開啟trace工具會影響mysql性能,所以只能臨時分析sql使用,用完之后需要立即關(guān)閉。
SET SESSION optimizer_trace="enabled=on",end_markers_in_json=on; --開啟trace SELECT * FROM employees WHERE name > 'a' ORDER BY position; SELECT * FROM information_schema.OPTIMIZER_TRACE;
看trace字段:
{ "steps": [ { "join_preparation": { --第一階段:SQl準備階段 "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 */ }, { "join_optimization": { --第二階段:SQL優(yōu)化階段 "select#": 1, "steps": [ { "condition_processing": { --條件處理 "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')" } ] /* steps */ } /* condition_processing */ }, { "table_dependencies": [ --表依賴詳情 { "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 */ }, { "rows_estimation": [ --預估標的訪問成本 { "table": "`employees`", "range_analysis": { "table_scan": { --全表掃描情況 "rows": 3, --掃描行數(shù) "cost": 3.7 --查詢成本 } /* table_scan */, "potential_range_indices": [ --查詢可能使用的索引 { "index": "PRIMARY", --主鍵索引 "usable": false, "cause": "not_applicable" }, { "index": "idx_name_age_position", --輔助索引 "usable": true, "key_parts": [ "name", "age", "position", "id" ] /* key_parts */ }, { "index": "idx_age", "usable": false, "cause": "not_applicable" } ] /* potential_range_indices */, "setup_range_conditions": [ ] /* setup_range_conditions */, "group_index_range": { "chosen": false, "cause": "not_group_by_or_distinct" } /* group_index_range */, "analyzing_range_alternatives": { ‐‐分析各個索引使用成本 "range_scan_alternatives": [ { "index": "idx_name_age_position", "ranges": [ "a < name" ] /* ranges */, "index_dives_for_eq_ranges": true, "rowid_ordered": false, "using_mrr": false, "index_only": false, ‐‐是否使用覆蓋索引 "rows": 3, --‐‐索引掃描行數(shù) "cost": 4.61, --索引使用成本 "chosen": false, ‐‐是否選擇該索引 "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`", "best_access_path": { "considered_access_paths": [ { "access_type": "scan", "rows": 3, "cost": 1.6, "chosen": true, "use_tmp_table": true } ] /* considered_access_paths */ } /* best_access_path */, "cost_for_plan": 1.6, "rows_for_plan": 3, "sort_cost": 3, "new_cost_for_plan": 4.6, "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 */ }, { "refine_plan": [ { "table": "`employees`", "access_type": "table_scan" } ] /* refine_plan */ }, { "reconsidering_access_paths_for_index_ordering": { "clause": "ORDER BY", "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 */ } ] /* steps */ } /* join_optimization */ }, { "join_execution": { --第三階段:SQL執(zhí)行階段 "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": 3, "examined_rows": 3, "number_of_tmp_files": 0, "sort_buffer_size": 200704, "sort_mode": "" } /* filesort_summary */ } ] /* steps */ } /* join_execution */ } ] /* steps */ }
全表掃描的成本低于索引掃描, 索引MySQL最終會選擇全表掃描。
SELECT * FROM employees WHERE name > 'zzz' ORDER BY position; SELECT * FROM information_schema.OPTIMIZER_TRACE; { "steps": [ { "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` > 'zzz') order by `employees`.`position`" } ] /* steps */ } /* join_preparation */ }, { "join_optimization": { "select#": 1, "steps": [ { "condition_processing": { "condition": "WHERE", "original_condition": "(`employees`.`name` > 'zzz')", "steps": [ { "transformation": "equality_propagation", "resulting_condition": "(`employees`.`name` > 'zzz')" }, { "transformation": "constant_propagation", "resulting_condition": "(`employees`.`name` > 'zzz')" }, { "transformation": "trivial_condition_removal", "resulting_condition": "(`employees`.`name` > 'zzz')" } ] /* steps */ } /* condition_processing */ }, { "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 */ }, { "rows_estimation": [ { "table": "`employees`", "range_analysis": { "table_scan": { "rows": 3, "cost": 3.7 } /* table_scan */, "potential_range_indices": [ { "index": "PRIMARY", "usable": false, "cause": "not_applicable" }, { "index": "idx_name_age_position", "usable": true, "key_parts": [ "name", "age", "position", "id" ] /* key_parts */ }, { "index": "idx_age", "usable": false, "cause": "not_applicable" } ] /* potential_range_indices */, "setup_range_conditions": [ ] /* setup_range_conditions */, "group_index_range": { "chosen": false, "cause": "not_group_by_or_distinct" } /* group_index_range */, "analyzing_range_alternatives": { "range_scan_alternatives": [ { "index": "idx_name_age_position", "ranges": [ "zzz < name" ] /* ranges */, "index_dives_for_eq_ranges": true, "rowid_ordered": false, "using_mrr": false, "index_only": false, "rows": 1, "cost": 2.21, "chosen": true } ] /* range_scan_alternatives */, "analyzing_roworder_intersect": { "usable": false, "cause": "too_few_roworder_scans" } /* analyzing_roworder_intersect */ } /* analyzing_range_alternatives */, "chosen_range_access_summary": { "range_access_plan": { "type": "range_scan", "index": "idx_name_age_position", "rows": 1, "ranges": [ "zzz < name" ] /* ranges */ } /* range_access_plan */, "rows_for_plan": 1, "cost_for_plan": 2.21, "chosen": true } /* chosen_range_access_summary */ } /* range_analysis */ } ] /* rows_estimation */ }, { "considered_execution_plans": [ { "plan_prefix": [ ] /* plan_prefix */, "table": "`employees`", "best_access_path": { "considered_access_paths": [ { "access_type": "range", "rows": 1, "cost": 2.41, "chosen": true, "use_tmp_table": true } ] /* considered_access_paths */ } /* best_access_path */, "cost_for_plan": 2.41, "rows_for_plan": 1, "sort_cost": 1, "new_cost_for_plan": 3.41, "chosen": true } ] /* considered_execution_plans */ }, { "attaching_conditions_to_tables": { "original_condition": "(`employees`.`name` > 'zzz')", "attached_conditions_computation": [ ] /* attached_conditions_computation */, "attached_conditions_summary": [ { "table": "`employees`", "attached": "(`employees`.`name` > 'zzz')" } ] /* 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 */ }, { "refine_plan": [ { "table": "`employees`", "pushed_index_condition": "(`employees`.`name` > 'zzz')", "table_condition_attached": null, "access_type": "range" } ] /* refine_plan */ }, { "reconsidering_access_paths_for_index_ordering": { "clause": "ORDER BY", "index_order_summary": { "table": "`employees`", "index_provides_order": false, "order_direction": "undefined", "index": "idx_name_age_position", "plan_changed": false } /* index_order_summary */ } /* reconsidering_access_paths_for_index_ordering */ } ] /* steps */ } /* join_optimization */ }, { "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": 0, "examined_rows": 0, "number_of_tmp_files": 0, "sort_buffer_size": 200704, "sort_mode": "" } /* filesort_summary */ } ] /* steps */ } /* join_execution */ } ] /* steps */ }
查看trace字段可知索引掃描的成本低于全表掃描的成本,所以MySQL最終選擇索引掃描。
SET SESSION optimizer_trace="enabled=off"; -- 關(guān)閉tra
感謝你能夠認真閱讀完這篇文章,希望小編分享的“MySQL怎樣選擇合適的索引”這篇文章對大家有幫助,同時也希望大家多多支持創(chuàng)新互聯(lián),關(guān)注創(chuàng)新互聯(lián)行業(yè)資訊頻道,更多相關(guān)知識等著你來學習!