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Table of Contents
1. EXPLAIN 的基本用法
2. 如何通過 EXPLAIN 判斷查詢是否高效
3. 實際應用中的常見問題與優(yōu)化建議
沒有用上索引的情況
多表關(guān)聯(lián)時的問題
排序和分組性能差
Home Database Mysql Tutorial Analyzing Query Execution with MySQL EXPLAIN

Analyzing Query Execution with MySQL EXPLAIN

Jul 12, 2025 am 02:07 AM
mysql explain

MySQL 的 EXPLAIN 是用于分析查詢執(zhí)行計劃的工具,通過在 SELECT 查詢前加 EXPLAIN 可查看執(zhí)行過程。1. 主要字段包括 id、select_type、table、type、key、Extra 等;2. 高效查詢需關(guān)注 type(如 const、eq_ref 為佳)、key(是否使用合適索引)和 Extra(避免 Using filesort、Using temporary);3. 常見優(yōu)化建議:避免對字段使用函數(shù)或模糊前導通配符、確保字段類型一致、合理設(shè)置連接字段索引、優(yōu)化排序與分組操作,以提升性能并減少資源消耗。

Analyzing Query Execution with MySQL EXPLAIN

MySQL 的 EXPLAIN 是一個非常實用的工具,能幫助我們理解查詢是如何執(zhí)行的,進而優(yōu)化 SQL 性能。簡單來說,它會告訴你 MySQL 是如何訪問表、使用了哪些索引、有沒有全表掃描等問題。

Analyzing Query Execution with MySQL EXPLAIN

1. EXPLAIN 的基本用法

在你想分析的 SELECT 查詢前面加上 EXPLAIN,就能看到執(zhí)行計劃。例如:

Analyzing Query Execution with MySQL EXPLAIN
EXPLAIN SELECT * FROM users WHERE id = 1;

執(zhí)行后會返回一張表,里面包含了多個字段,比如 type、keyrows 等,這些信息就是你判斷查詢效率的關(guān)鍵。

常見字段說明:

Analyzing Query Execution with MySQL EXPLAIN
  • id:查詢中每個 select 的唯一標識
  • select_type:查詢類型(如 SIMPLE、PRIMARY)
  • table:當前查詢操作涉及的表
  • type:連接類型,常見的有 ALL、index、range、ref、eq_ref、const/system
  • possible_keys:可能使用的索引
  • key:實際使用的索引
  • key_len:使用的索引長度
  • ref:顯示索引的哪一列被使用
  • rows:MySQL 認為執(zhí)行查詢需要掃描的行數(shù)
  • Extra:額外信息,如 Using filesort、Using temporary 等

2. 如何通過 EXPLAIN 判斷查詢是否高效

關(guān)鍵是要看幾個核心字段:type、keyExtra。

  • type 字段

    • 最好是 consteq_ref,表示走主鍵或唯一索引查找
    • ref 也不錯,表示非唯一索引匹配
    • range 表示用了索引范圍掃描,還算可以
    • 如果是 index,說明掃描了整個索引樹,比全表掃描好一點
    • 最差的是 ALL,也就是全表掃描,一定要避免
  • key 字段

    • 看有沒有使用到合適的索引,如果沒有用索引,就要考慮加索引或者調(diào)整查詢語句
  • Extra 字段

    • 出現(xiàn) Using filesortUsing temporary 通常意味著性能問題,尤其是大數(shù)據(jù)量時
    • Using where 是正常的,表示使用了 where 條件過濾數(shù)據(jù)

舉個例子:

EXPLAIN SELECT name FROM users WHERE email LIKE '%@example.com';

如果這里沒有索引,而且 email 字段也沒有前綴索引,那 type 就會是 ALLExtra 可能出現(xiàn) Using where,說明進行了全表掃描和條件過濾,效率不高。


3. 實際應用中的常見問題與優(yōu)化建議

沒有用上索引的情況

  • 使用函數(shù)或表達式導致索引失效,例如 WHERE YEAR(create_time) = 2023
  • 使用 LIKE 帶通配符開頭,例如 LIKE '%abc'
  • 類型不匹配,比如字段是 VARCHAR,傳入的是數(shù)字,可能導致隱式轉(zhuǎn)換

建議

  • 避免在 where 子句中對字段做運算或函數(shù)處理
  • 能用等值查詢就不用模糊查詢
  • 注意字段類型一致性,避免隱式轉(zhuǎn)換

多表關(guān)聯(lián)時的問題

  • 連接順序不合理
  • 關(guān)聯(lián)字段沒有索引
  • join 類型是 ALL 或 index,而不是 ref 或 eq_ref

建議

  • 給經(jīng)常用來做連接的字段加上索引
  • 控制 join 表的數(shù)量,一般不超過 5 張表
  • 查看執(zhí)行計劃中每張表的 type 是否合理

排序和分組性能差

  • 使用了 ORDER BYGROUP BY 但沒走索引
  • 數(shù)據(jù)量大時出現(xiàn) Using filesortUsing temporary

建議

  • 對排序字段加復合索引
  • 盡量避免不必要的排序或分組
  • 分頁時注意 limit 不要過大,避免內(nèi)存壓力

基本上就這些。用 EXPLAIN 分析 SQL 執(zhí)行計劃,其實并不難,關(guān)鍵是多練、多看、多對比。很多時候慢查詢不是因為語句寫錯了,而是因為沒有走索引,或者走了錯誤的索引。只要掌握了這幾個關(guān)鍵點,排查和優(yōu)化效率就會高很多。

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