增加子查詢表條件篩選提高效能
增加子查詢表條件篩選提高效能
前提
客戶反應現場有sql很慢,故拿來最佳化下。
原有慢sql
select case when t1.sys_id = '200000000' then '' else t1.USER_NO end user_no, t2.USERCARD, t2.NAME, t2.USERID_WEIXIN from (select * from WEIXINUSER.t_user_relation tur11 where not exists (select id from (select id from (select distinct id, sys_id from WEIXINUSER.t_user_relation where sys_id in ('100000000', '200000000') order by to_number(id)) group by id having count(id) > 1) tmp1 where tmp1.id = tur11.id) order by id) t1 left join WEIXINUSER.t_user t2 on t1.id = t2.userid AND t2.collect_state = '1' where t1.sys_id in('100000000', '200000000') and t1.register_flag='1' and usercard = '411322199104084230';
執行計劃
1 #NSET2: [1350, 115781, 720] 2 #PRJT2: [1350, 115781, 720]; exp_num(4), is_atom(FALSE) 3 #SORT3: [1350, 115781, 720]; key_num(4), is_distinct(TRUE), top_flag(0), is_adaptive(0) 4 #PRJT2: [1322, 115781, 720]; exp_num(4), is_atom(FALSE) 5 #UNION ALL: [1322, 115781, 720] 6 #PRJT2: [665, 39043, 720]; exp_num(4), is_atom(FALSE) 7 #HASH2 INNER JOIN: [665, 39043, 720]; KEY_NUM(1); KEY(RE.ID=US.USERID) KEY_NULL_EQU(0) 8 #PRJT2: [632, 39180, 480]; exp_num(2), is_atom(FALSE) 9 #HASH RIGHT SEMI JOIN2: [632, 39180, 480]; n_keys(1) KEY(DMTEMPVIEW_16912689.colname=TUR1.ID) KEY_NULL_EQU(0) 10 #PRJT2: [344, 39180, 144]; exp_num(1), is_atom(FALSE) 11 #PRJT2: [344, 39180, 144]; exp_num(1), is_atom(FALSE) 12 #SLCT2: [344, 39180, 144]; exp_sfun1 > var5 13 #HAGR2: [318, 783619, 144]; grp_num(1), sfun_num(1); slave_empty(0) keys(DMTEMPVIEW_16912681.ID) 14 #PRJT2: [246, 871279, 144]; exp_num(1), is_atom(FALSE) 15 #DISTINCT: [246, 871279, 144] 16 #HASH RIGHT SEMI JOIN2: [175, 871279, 144]; n_keys(1) KEY(DMTEMPVIEW_16912692.colname=T_USER_RELATION.SYS_ID) KEY_NULL_EQU(0) 17 #CONST VALUE LIST: [1, 2, 48]; row_num(2), col_num(1), 18 #SSCN: [108, 872653, 96]; IDX_ZZJ_20210903_T_USER_RELATION_01(T_USER_RELATION) 19 #SLCT2: [185, 775688, 480]; TUR1.SYS_ID = '100000000' 20 #CSCN2: [185, 872653, 480]; INDEX33556450(T_USER_RELATION as TUR1) 21 #SLCT2: [15, 77008, 240]; (NOT(US.NAME IS NULL) AND US.COLLECT_STATE = '1') 22 #CSCN2: [15, 92083, 240]; INDEX33556463(T_USER as US) 23 #PRJT2: [632, 76738, 728]; exp_num(4), is_atom(FALSE) 24 #HASH2 INNER JOIN: [632, 76738, 728]; KEY_NUM(1); KEY(T2.USERID=T1.ID) KEY_NULL_EQU(0) 25 #SLCT2: [15, 77008, 240]; (NOT(T2.NAME IS NULL) AND T2.COLLECT_STATE = '1') 26 #CSCN2: [15, 92083, 240]; INDEX33556463(T_USER as T2) 27 #PRJT2: [584, 140677, 488]; exp_num(3), is_atom(FALSE) 28 #HASH RIGHT SEMI JOIN2: [584, 140677, 488]; n_keys(1) (ANTI), KEY(TMP1.ID=TUR11.ID) KEY_NULL_EQU(0) 29 #PRJT2: [344, 39180, 144]; exp_num(1), is_atom(FALSE) 30 #SLCT2: [344, 39180, 144]; exp_sfun1 > var7 31 #HAGR2: [318, 783619, 144]; grp_num(1), sfun_num(1); slave_empty(0) keys(DMTEMPVIEW_16912685.ID) 32 #PRJT2: [246, 871279, 144]; exp_num(1), is_atom(FALSE) 33 #DISTINCT: [246, 871279, 144] 34 #HASH RIGHT SEMI JOIN2: [175, 871279, 144]; n_keys(1) KEY(DMTEMPVIEW_16912699.colname=T_USER_RELATION.SYS_ID) KEY_NULL_EQU(0) 35 #CONST VALUE LIST: [1, 2, 48]; row_num(2), col_num(1), 36 #SSCN: [108, 872653, 96]; IDX_ZZJ_20210903_T_USER_RELATION_01(T_USER_RELATION) 37 #HASH RIGHT SEMI JOIN2: [210, 179858, 488]; n_keys(1) KEY(DMTEMPVIEW_16912700.colname=TUR11.SYS_ID) KEY_NULL_EQU(0) 38 #CONST VALUE LIST: [1, 2, 48]; row_num(2), col_num(1), 39 #SLCT2: [187, 180545, 488]; TUR11.REGISTER_FLAG = '1' 40 #CSCN2: [187, 872653, 488]; INDEX33556450(T_USER_RELATION as TUR11)
分析1
根據執行計劃看,大量有全表掃描CSCN2存在,企圖用加索引的方式來提高效能,但效果不大。
分析2
1.根據分析,t_user的and usercard = '411322199104084230'篩選很高,但涉及此欄位的索引並沒有起到實際作用,反而走的是全表掃描。
2.關聯表t_user雖然是left join主驅動表,但其實最後篩選and usercard = '411322199104084230'還是取的並集。
最佳化
由上面分析2判斷,將關聯表的範圍提前縮小,再去hash,故嘗試修改sql。
修改sql最佳化(4s提升到0.03s)
select case when t1.sys_id = '200000000' then '' else t1.USER_NO end user_no, t2.USERCARD, t2.NAME, t2.USERID_WEIXIN from (select * from WEIXINUSER.t_user_relation tur11 --增加條件篩選 where id in (select userid from WEIXINUSER.t_user where usercard = '411322199104084230') and not exists (select id from (select id from (select distinct id, sys_id from WEIXINUSER.t_user_relation where sys_id in ('100000000', '200000000')) group by id having count(id) > 1) tmp1 where tmp1.id = tur11.id)) t1 left join WEIXINUSER.t_user t2 on t1.id = t2.userid AND t2.collect_state = '1' where t1.sys_id in('100000000', '200000000') and t1.register_flag='1' --and usercard = '411322199104084230'
最佳化後執行計劃
1 #NSET2: [5, 1, 584] 2 #PRJT2: [5, 1, 584]; exp_num(4), is_atom(FALSE) 3 #INDEX JOIN LEFT JOIN2: [5, 1, 584] join condition(T2.COLLECT_STATE = '1') ret_null(0) 4 #PRJT2: [5, 1, 584]; exp_num(3), is_atom(FALSE) 5 #NEST LOOP SEMI JOIN2: [5, 1, 584]; (ANTI), join condition(TUR11.ID = TMP1.ID)[with var] 6 #HASH RIGHT SEMI JOIN2: [1, 1, 584]; n_keys(1) KEY(DMTEMPVIEW_16912747.colname=TUR11.SYS_ID) KEY_NULL_EQU(0) 7 #CONST VALUE LIST: [1, 2, 48]; row_num(2), col_num(1), 8 #SLCT2: [1, 1, 584]; TUR11.REGISTER_FLAG = '1' 9 #NEST LOOP INDEX JOIN2: [1, 1, 584] 10 #DISTINCT: [1, 1, 96] 11 #PRJT2: [1, 1, 96]; exp_num(1), is_atom(FALSE) 12 #BLKUP2: [1, 1, 96]; USERCARD_INDEX(T_USER) 13 #SSEK2: [1, 1, 96]; scan_type(ASC), USERCARD_INDEX(T_USER), scan_range['411322199104084230','411322199104084230'] 14 #BLKUP2: [1, 1, 0]; IDX_USER_RELATION_ID(TUR11) 15 #SSEK2: [1, 1, 0]; scan_type(ASC), IDX_USER_RELATION_ID(T_USER_RELATION as TUR11), scan_range[DMTEMPVIEW_16912735.colname,DMTEMPVIEW_16912735.colname] 16 #PRJT2: [2, 1, 96]; exp_num(1), is_atom(FALSE) 17 #SLCT2: [2, 1, 96]; exp_sfun1 > var6 18 #HAGR2: [2, 1, 96]; grp_num(1), sfun_num(1); slave_empty(0) keys(DMTEMPVIEW_16912731.ID) 19 #PRJT2: [1, 1, 96]; exp_num(1), is_atom(FALSE) 20 #DISTINCT: [1, 1, 96] 21 #NEST LOOP INDEX JOIN2: [1, 1, 96] 22 #CONST VALUE LIST: [1, 2, 48]; row_num(2), col_num(1), 23 #SSEK2: [1, 1, 96]; scan_type(ASC), IDX_ZZJ_20210903_T_USER_RELATION_01(T_USER_RELATION), scan_range[(DMTEMPVIEW_16912746.colname,var4),(DMTEMPVIEW_16912746.colname,var4)] 24 #BLKUP2: [1, 1, 0]; IDX_USER_ID(T2) 25 #SSEK2: [1, 1, 0]; scan_type(ASC), IDX_USER_ID(T_USER as T2), scan_range[T1.ID,T1.ID]
DM 武漢達夢資料庫股份有限公司
24小時免費服務熱線:400 991 6599
來自 “ ITPUB部落格 ” ,連結:http://blog.itpub.net/70002866/viewspace-2991134/,如需轉載,請註明出處,否則將追究法律責任。
相關文章
- 34. 過濾條件、多表查詢、子查詢
- 用hash cluster表提高查詢效能 (一)
- mysql條件查詢MySql
- MongoDB查詢條件MongoDB
- 41、財務總賬科目餘額表,三欄式總賬,三欄式明細賬 查詢條件科目增加多選查詢
- Extjs Grid 清除列頭篩選條件JS
- 報表查詢條件的 N 種使用方式
- 根據查詢條件批量修改表資料
- Laravel 多條件查詢Laravel
- Pandas根據篩選條件對指定excel列進行篩選!神器!Excel
- 常用的php列表多條件篩選功能PHP
- SpringBoot Jpa多條件查詢Spring Boot
- AntDesignBlazor示例——列表查詢條件Blazor
- golang beego orm 查詢條件 or andGolangORM
- Javaweb-DQL-條件查詢JavaWeb
- 查詢條件封裝物件封裝物件
- mongodb條件查詢不等於MongoDB
- 【mybatis-plus】條件查詢MyBatis
- Fastadmin在原有篩選條件filter基礎之上,js重新附加新條件ASTFilterJS
- 寫一個“特殊”的查詢構造器 – (四、條件查詢:複雜條件)
- JS中的陣列過濾,從簡單篩選到多條件篩選JS陣列
- 20240719資料庫關聯查詢、條件查詢資料庫
- Linq查詢之多個排序條件排序
- Linq兩個from查詢條件
- 菜品條件分頁查詢
- hyperf關聯模型條件查詢模型
- mysql拆分字串做條件查詢MySql字串
- SQL-基礎語法 - 條件查詢 - 模糊查詢SQL
- Spark SQL解析查詢parquet格式Hive表獲取分割槽欄位和查詢條件SparkSQLHive
- excel高階篩選怎麼做 表格的高階篩選怎麼設定條件Excel
- excel篩選條件怎麼設定 excel怎麼篩選出自己想要的資料Excel
- mysql多條件過濾查詢之mysq高階查詢MySql
- Gbase8d如何提高查詢效能?
- IDEA如何給debug斷點加上篩選條件判斷Idea斷點
- MybatisPlus入門(五)MybatisPlus條件查詢MyBatis
- Vue請求介面查詢條件拼接Vue
- mybatis-plus QueryWrapper條件查詢器MyBatisAPP
- 易優CMS模板標籤screening文件篩選指定自定義欄位讀取篩選條件