DM 传统行业SQL优化案例

来OB这么久还没有接触啥金融的SQL,只能发点其他行业的数据库SQL优化案例。😂

今天拿到手的这个案例SQL 传统行业的,很奇葩的SQL,表设计三范式都没弄好。

什么医疗,交通,能源这些传统行业的业务设计,SQL语句最奇葩了,也挺好玩的,有挑战性。

慢SQL:

SELECT  LI.STATUS, FI.SOFL_SEQ_NR ,PI.CLAZZ,PI.HV_TYPE    FROM  LNF LI, PNF PI, FNF FI    WHERE 1=1    AND LI.ALN_CD = DECODE(FI.ALN_CD, 'OQ', 'CZ', FI.ALN_CD)    and li.dep_arp_cd = fi.act_dep_cd     and li.flt_nr = DECODE(fi.aln_cd,'OQ',substr(( select cz_flt_nr from OQ_FLT_INFO oq  where substr(oq.oq_flt_nr,3,4)= fi.flt_nr) ,3,4), fi.flt_nr)   and li.FLT_DT=FI.FLT_DT   AND LI.FK_PSGR_ID = PI.PSGR_ID    AND (PI.HV_TYPE IS NOT NULL OR PI.CLAZZ IN ('F', 'F1', 'J', 'C', 'D', 'I', 'O'))    and FI.FLT_DT=date'2024-04-01'   and FI.SCH_DEP_CD='CAN'   ORDER BY FI.SOFL_SEQ_NR ;

执行时间:

DM 传统行业SQL优化案例

 执行计划(看不看得懂随缘、反正我没看):

1   #NSET2: [2903, 556029, 632]  2     #PIPE2: [2903, 556029, 632]  3       #PIPE2: [2901, 556029, 632]  4         #PRJT2: [2899, 556029, 632]; exp_num(4), is_atom(FALSE)  5           #SORT3: [2899, 556029, 632]; key_num(1), is_distinct(FALSE), top_flag(0), is_adaptive(0) 6             #UNION FOR OR2: [2788, 556029, 632]; key_num(0), outer_join(-) 7               #SLCT2: [1334, 278014, 632]; LI.FLT_NR = exp_simple_case 8                 #HASH2 INNER JOIN: [1334, 278014, 632];  KEY_NUM(2); KEY(FI.ACT_DEP_CD=LI.DEP_ARP_CD AND exp_simple_case=LI.ALN_CD) KEY_NULL_EQU(0, 0) 9                   #BLKUP2: [1, 385, 247]; IDX_FLIGHT_INFO02(FI) 10                    #SSEK2: [1, 385, 247]; scan_type(ASC), IDX_FLIGHT_INFO02(FNF as FI), scan_range[(exp_cast(2024-04-01),'CAN',min),(exp_cast(2024-04-01),'CAN',max)) 11                  #SLCT2: [1324, 37479, 385]; NOT(PI.HV_TYPE IS NULL) 12                    #HASH2 INNER JOIN: [1324, 37479, 385]; RKEY_UNIQUE KEY_NUM(1); KEY(LI.FK_PSGR_ID=PI.PSGR_ID) KEY_NULL_EQU(0) 13                      #SLCT2: [1324, 37479, 385]; NOT(PI.HV_TYPE IS NULL) 14                        #NEST LOOP INDEX JOIN2: [1324, 37479, 385]  15                          #ACTRL: [1324, 37479, 385]; 16                            #BLKUP2: [1049, 37479, 247]; INDEX_LU_INTO_TAG_0416(LI) 17                              #SLCT2: [1049, 37479, 247]; LI.FLT_DT = var3 18                                #SSCN: [1049, 37479, 247]; INDEX_LU_INTO_TAG_0416(LNF as LI); btr_scan(1) 19                          #BLKUP2: [244, 1, 30]; INDEX33555482(PI) 20                            #SSEK2: [244, 1, 30]; scan_type(ASC), INDEX33555482(PNF as PI), scan_range[LI.FK_PSGR_ID,LI.FK_PSGR_ID] 21                      #CSCN2: [475, 3573399, 138]; INDEX33555481(PNF as PI); btr_scan(1) 22              #SLCT2: [1334, 278014, 632]; LI.FLT_NR = exp_simple_case 23                #HASH2 INNER JOIN: [1334, 278014, 632];  KEY_NUM(2); KEY(FI.ACT_DEP_CD=LI.DEP_ARP_CD AND exp_simple_case=LI.ALN_CD) KEY_NULL_EQU(0, 0) 24                  #BLKUP2: [1, 385, 247]; IDX_FLIGHT_INFO02(FI) 25                    #SSEK2: [1, 385, 247]; scan_type(ASC), IDX_FLIGHT_INFO02(FNF as FI), scan_range[(exp_cast(2024-04-01),'CAN',min),(exp_cast(2024-04-01),'CAN',max)) 26                  #SLCT2: [1324, 37479, 385]; (exp11 AND PI.CLAZZ IN LIST) 27                    #HASH2 INNER JOIN: [1324, 37479, 385]; RKEY_UNIQUE KEY_NUM(1); KEY(LI.FK_PSGR_ID=PI.PSGR_ID) KEY_NULL_EQU(0) 28                      #SLCT2: [1324, 37479, 385]; (exp11 AND PI.CLAZZ IN LIST) 29                        #NEST LOOP INDEX JOIN2: [1324, 37479, 385]  30                          #ACTRL: [1324, 37479, 385]; 31                            #BLKUP2: [1049, 37479, 247]; INDEX_LU_INTO_TAG_0416(LI) 32                              #SLCT2: [1049, 37479, 247]; LI.FLT_DT = var4 33                                #SSCN: [1049, 37479, 247]; INDEX_LU_INTO_TAG_0416(LNF as LI); btr_scan(1) 34                          #BLKUP2: [244, 1, 30]; INDEX33555482(PI) 35                            #SSEK2: [244, 1, 30]; scan_type(ASC), INDEX33555482(PNF as PI), scan_range[LI.FK_PSGR_ID,LI.FK_PSGR_ID] 36                      #CSCN2: [475, 3573399, 138]; INDEX33555481(PNF as PI); btr_scan(1) 37        #SPL2: [1, 279, 343]; key_num(2), spool_num(1), is_atom(FALSE), has_var(0), sites(-) 38          #PRJT2: [1, 279, 343]; exp_num(2), is_atom(FALSE)  39            #HASH2 INNER JOIN: [1, 279, 343];  KEY_NUM(1); KEY(exp11=FI.FLT_NR) KEY_NULL_EQU(0) 40              #CSCN2: [1, 279, 96]; INDEX33555478(OQ_FLT_INFO as OQ); btr_scan(1) 41              #BLKUP2: [1, 385, 247]; IDX_FLIGHT_INFO02(FI) 42                #SSEK2: [1, 385, 247]; scan_type(ASC), IDX_FLIGHT_INFO02(FNF as FI), scan_range[(exp_cast(2024-04-01),'CAN',min),(exp_cast(2024-04-01),'CAN',max)) 43      #SPL2: [1, 279, 343]; key_num(2), spool_num(0), is_atom(FALSE), has_var(0), sites(-) 44        #PRJT2: [1, 279, 343]; exp_num(2), is_atom(FALSE)  45          #HASH2 INNER JOIN: [1, 279, 343];  KEY_NUM(1); KEY(exp11=FI.FLT_NR) KEY_NULL_EQU(0) 46            #CSCN2: [1, 279, 96]; INDEX33555478(OQ_FLT_INFO as OQ); btr_scan(1) 47            #BLKUP2: [1, 385, 247]; IDX_FLIGHT_INFO02(FI) 48              #SSEK2: [1, 385, 247]; scan_type(ASC), IDX_FLIGHT_INFO02(FNF as FI), scan_range[(exp_cast(2024-04-01),'CAN',min),(exp_cast(2024-04-01),'CAN',max))

表数据量:

DM 传统行业SQL优化案例

上面SQL跑28秒,返回8行数据,还是挺慢的。

 

DM哥们说他已经加个HINT对 or 进行整体优化,但是还要跑12秒,客户不接受,所以找到我来看看。😅

加HINT优化方案:

SELECT /*+ OPTIMIZER_OR_NBEXP(2)  */ LI.STATUS, FI.SOFL_SEQ_NR ,PI.CLAZZ,PI.HV_TYPE    FROM  LNF LI, PNF PI, FNF FI    WHERE 1=1    AND LI.ALN_CD = DECODE(FI.ALN_CD, 'OQ', 'CZ', FI.ALN_CD)    and li.dep_arp_cd = fi.act_dep_cd     and li.flt_nr = DECODE(fi.aln_cd,'OQ',substr(( select cz_flt_nr from OQ_FLT_INFO oq  where substr(oq.oq_flt_nr,3,4)= fi.flt_nr) ,3,4), fi.flt_nr)   and li.FLT_DT=FI.FLT_DT   AND LI.FK_PSGR_ID = PI.PSGR_ID    AND (PI.HV_TYPE IS NOT NULL OR PI.CLAZZ IN ('F', 'F1', 'J', 'C', 'D', 'I', 'O'))    and FI.FLT_DT=date'2024-04-01'   and FI.SCH_DEP_CD='CAN'   ORDER BY FI.SOFL_SEQ_NR ;

 加HINT后执行计划:

1   #NSET2: [1372, 278014, 608]  2     #PIPE2: [1372, 278014, 608]  3       #PRJT2: [1371, 278014, 608]; exp_num(4), is_atom(FALSE)  4         #SORT3: [1371, 278014, 608]; key_num(1), is_distinct(FALSE), top_flag(0), is_adaptive(0) 5           #SLCT2: [1317, 278014, 608]; LI.FLT_NR = exp_simple_case 6             #HASH2 INNER JOIN: [1317, 278014, 608];  KEY_NUM(2); KEY(FI.ACT_DEP_CD=LI.DEP_ARP_CD AND exp_simple_case=LI.ALN_CD) KEY_NULL_EQU(0, 0) 7               #BLKUP2: [1, 385, 247]; IDX_FLIGHT_INFO02(FI) 8                 #SSEK2: [1, 385, 247]; scan_type(ASC), IDX_FLIGHT_INFO02(FNF as FI), scan_range[(exp_cast(2024-04-01),'CAN',min),(exp_cast(2024-04-01),'CAN',max)) 9               #SLCT2: [1307, 37479, 361]; (NOT(PI.HV_TYPE IS NULL) OR PI.CLAZZ IN LIST) 10                #HASH2 INNER JOIN: [1307, 37479, 361]; RKEY_UNIQUE KEY_NUM(1); KEY(LI.FK_PSGR_ID=PI.PSGR_ID) KEY_NULL_EQU(0) 11                  #SLCT2: [1307, 37479, 361]; (NOT(PI.HV_TYPE IS NULL) OR PI.CLAZZ IN LIST) 12                    #NEST LOOP INDEX JOIN2: [1307, 37479, 361]  13                      #ACTRL: [1307, 37479, 361]; 14                        #BLKUP2: [1032, 37479, 235]; INDEX_LU_INTO_TAG_0416(LI) 15                          #SLCT2: [1032, 37479, 235]; LI.FLT_DT = var2 16                            #SSCN: [1032, 37479, 235]; INDEX_LU_INTO_TAG_0416(LNF as LI); btr_scan(1) 17                      #BLKUP2: [244, 1, 30]; INDEX33555482(PI) 18                        #SSEK2: [244, 1, 30]; scan_type(ASC), INDEX33555482(PNF as PI), scan_range[LI.FK_PSGR_ID,LI.FK_PSGR_ID] 19                  #CSCN2: [467, 3573399, 126]; INDEX33555481(PNF as PI); btr_scan(1) 20      #SPL2: [1, 279, 343]; key_num(2), spool_num(0), is_atom(FALSE), has_var(0), sites(-) 21        #PRJT2: [1, 279, 343]; exp_num(2), is_atom(FALSE)  22          #HASH2 INNER JOIN: [1, 279, 343];  KEY_NUM(1); KEY(exp11=FI.FLT_NR) KEY_NULL_EQU(0) 23            #CSCN2: [1, 279, 96]; INDEX33555478(OQ_FLT_INFO as OQ); btr_scan(1) 24            #BLKUP2: [1, 385, 247]; IDX_FLIGHT_INFO02(FI) 25              #SSEK2: [1, 385, 247]; scan_type(ASC), IDX_FLIGHT_INFO02(FNF as FI), scan_range[(exp_cast(2024-04-01),'CAN',min),(exp_cast(2024-04-01),'CAN',max))

HINT 执行时间:

DM 传统行业SQL优化案例

 12秒对原来的28秒来说已经提升了很大的空间,但是客户表示不满意:ORACLE能秒出结果,到了达梦以后执行时间多了12倍,接受不了。😅

 无解,最后找到哥,看看能不能帮他让这条SQL"秒出结果"。😎

 

简单看了看,加索引和使用HINT都不好使,只能等价改写了,再创建合适的索引,让这条SQL走上新的索引。

等价改写 + 索引优化方案:

SELECT LI.STATUS,        FI.SOFL_SEQ_NR,        PI.CLAZZ,        PI.HV_TYPE FROM LNF LI          INNER JOIN (SELECT ACT_DEP_CD,                             FLT_DT,                             SOFL_SEQ_NR,                             DECODE(ALN_CD, 'OQ', 'CZ', ALN_CD) V1,                             DECODE(ALN_CD, 'OQ', SUBSTR(                                     (SELECT CZ_FLT_NR FROM OQ_FLT_INFO OQ WHERE SUBSTR(OQ.OQ_FLT_NR, 3, 4) = FLT_NR), 3,                                     4), FLT_NR)                V2                      FROM FNF                      WHERE FLT_DT = DATE'2024-04-01'                        AND SCH_DEP_CD = 'CAN'                        AND ROWNUM > 0) FI                     ON LI.DEP_ARP_CD = FI.ACT_DEP_CD AND LI.FLT_DT = FI.FLT_DT AND LI.ALN_CD = FI.V1 AND                        LI.FLT_NR = FI.V2          INNER JOIN (WITH PI AS (SELECT PSGR_ID, HV_TYPE, CLAZZ                                  FROM PNF)                       SELECT DISTINCT PSGR_ID, HV_TYPE, CLAZZ                      FROM (SELECT PSGR_ID, HV_TYPE, CLAZZ                            FROM PI                            WHERE (PI.HV_TYPE IS NOT NULL)                            UNION ALL                            SELECT PSGR_ID, HV_TYPE, CLAZZ                            FROM PI                            WHERE PI.CLAZZ IN ('F', 'F1', 'J', 'C', 'D', 'I', 'O'))) PI ON LI.FK_PSGR_ID = PI.PSGR_ID ORDER BY FI.SOFL_SEQ_NR;    -- 加索引: create index idx_pi_1_2 on PNF( PSGR_ID,CLAZZ,HV_TYPE ); create index idx_fi_1_2 on FNF ( act_dep_cd,FLT_DT ); CREATE index idx_1_2_3_FI on FNF(FLT_DT,SCH_DEP_CD,act_dep_cd,SOFL_SEQ_NR); CREATE index idx_1_2_3_li on LNF(ALN_CD,dep_arp_cd,flt_nr,FLT_DT,FK_PSGR_ID,STATUS); CREATE index idx_1_2_3 on FNF(FLT_DT,SCH_DEP_CD);

优化后执行计划:

#NSET2: [821, 385, 596]  2     #PIPE2: [821, 385, 596]  3       #PRJT2: [821, 385, 596]; exp_num(4), is_atom(FALSE)  4         #SORT3: [821, 385, 596]; key_num(1), is_distinct(FALSE), top_flag(0), is_adaptive(0) 5           #SLCT2: [820, 385, 596]; LI.FK_PSGR_ID = PI.PSGR_ID 6             #NEST LOOP INNER JOIN2: [820, 385, 596]; [with var] 7               #HASH2 INNER JOIN: [2, 385, 470];  KEY_NUM(4); KEY(FI.ACT_DEP_CD=LI.DEP_ARP_CD AND FI.FLT_DT=LI.FLT_DT AND FI.V1=LI.ALN_CD AND FI.V2=LI.FLT_NR) KEY_NULL_EQU(0, 0, 0, 0) 8                 #NEST LOOP INDEX JOIN2: [2, 385, 470]  9                   #ACTRL: [2, 385, 470]; 10                    #PRJT2: [1, 385, 235]; exp_num(5), is_atom(FALSE)  11                      #RN: [1, 385, 235]  12                        #BLKUP2: [1, 385, 235]; IDX_FLIGHT_INFO02(FNF) 13                          #SSEK2: [1, 385, 235]; scan_type(ASC), IDX_FLIGHT_INFO02(FNF), scan_range[(exp_cast(2024-04-01),'CAN',min),(exp_cast(2024-04-01),'CAN',max)) 14                  #SSEK2: [1, 1, 235]; scan_type(ASC), IDX_1_2_3_LI(LNF as LI), scan_range[(FI.V1,FI.ACT_DEP_CD,FI.V2,FI.FLT_DT,min,min),(FI.V1,FI.ACT_DEP_CD,FI.V2,FI.FLT_DT,max,max)) 15                #SSCN: [989, 6461936, 235]; IDX_1_2_3_LI(LNF as LI); btr_scan(1) 16              #PRJT2: [2, 1, 126]; exp_num(3), is_atom(FALSE)  17                #DISTINCT: [2, 1, 126] 18                  #PRJT2: [1, 2, 126]; exp_num(3), is_atom(FALSE)  19                    #UNION ALL: [1, 2, 126] 20                      #PRJT2: [1, 1, 126]; exp_num(3), is_atom(FALSE)  21                        #SLCT2: [1, 1, 126]; NOT(PNF.HV_TYPE IS NULL) 22                          #BLKUP2: [1, 1, 126]; INDEX33555482(PNF) 23                            #SSEK2: [1, 1, 126]; scan_type(ASC), INDEX33555482(PNF), scan_range[var4,var4] 24                      #PRJT2: [1, 1, 126]; exp_num(3), is_atom(FALSE)  25                        #HASH RIGHT SEMI JOIN2: [1, 1, 126]; n_keys(1) KEY(DMTEMPVIEW_889228539.colname=PNF.CLAZZ) KEY_NULL_EQU(0) 26                          #CONST VALUE LIST: [1, 7, 48]; row_num(7), col_num(1) 27                          #BLKUP2: [1, 1, 126]; INDEX33555482(PNF) 28                            #SSEK2: [1, 1, 126]; scan_type(ASC), INDEX33555482(PNF), scan_range[var4,var4] 29      #SPL2: [1, 1, 96]; key_num(1), spool_num(0), is_atom(TRUE), has_var(1), sites(-) 30        #PRJT2: [1, 1, 96]; exp_num(1), is_atom(TRUE)  31          #BLKUP2: [1, 6, 96]; INDEX33555479(OQ) 32            #SLCT2: [1, 6, 96]; var3 = exp11 33              #SSCN: [1, 6, 96]; INDEX33555479(OQ_FLT_INFO as OQ); btr_scan(1)

执行时间:

DM 传统行业SQL优化案例

 

通过改写+创建索引优化后,能做到像ORACLE这样,真"秒出结果"。😺

堆表和索引组织表的区别还是蛮大的,以前的老系统,业务SQL写得烂,用堆表跑问题不大,Oracle cbo算法牛逼也抗得住。

但是现在很多国产数据库都是使用索引组织表(IOT表),例如 OB、DM、TIDB 等国产数据库。

由于IOT表的特性在使用场景来说,对些老系统来说并不友好(老系统业务设计随意、业务逻辑较多在数据库层面实现),所以会产生很多性能问题:ORACLE 的索引都迁移到国产数据库了,性能还这么差,为什么没用上原来的索引啥的,等等诸如此类的问题。

要做国产化适配改造,并不能满足数据库功能、特性上的实现,业务模型也要配合整体来进行改造。

 

感谢各位读者同学能看到这里,如果有一些奇葩的SQL问题也可以联系我。🥰🥰🥰

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