利用业务逻辑+OB分布式特性优化SQL
最近某人社局核心数据库上了OB，经常出现性能问题
某人社与我司合作多年，非常信任我司在数据库的专业能力，邀请我司过去看看能否提供帮助
与OB驻场工程师合作，抓取了一天的TOP SQL，跑得慢的SQL有几十条(注意只是某一天的TOP SQL)
大致分析了一下，有缺索引的，有执行计划走错的，有SQL写法有问题的，有字段类型设计错误的，也有表分区策略设计有问题的
这些问题在我看来都很简单就不贴在博客了，下面我要分享一个对于OB SQL优化很有启发意义的案例
下面SQL每天要运行20w次，平均每次执行0.5s到2秒，它耗费了整个OB集群20%的CPU资源
也许有人会说，不就才20w次吗，我见过运行几百万次，上千万次的SQL
这里我要说的是，请不要拿国产数据库与Oracle对比，Oracle发展了40年了，国产数据库才发展多少年，能替换O已经很厉害了
每天运行20w次的时段大致在早上9:30分到11:30分以及下午2：30到5:00，也就是工作日业务办理时间
SQL代码大致如下(只贴一条，还有很多类似SQL就不贴了)：
SELECT * FROM AC08 WHERE (AAC001 = ? AND AAE140= ? AND AAE792 IN (?,?) AND NOT EXISTS (SELECT ? FROM AC08 B WHERE AC08.AAZ686 = B.AAZ686 AND B.AAE792 IN (?)))
AC08是个超级大表，它有26亿条数据，根据AAC001 进行的HASH分区，执行计划如下：
=======================================================================
|ID|OPERATOR |NAME |EST. ROWS|COST|
-----------------------------------------------------------------------
|0 |NESTED-LOOP ANTI JOIN | |0 |337 |
|1 | PX COORDINATOR | |1 |302 |
|2 | EXCHANGE OUT DISTR |:EX10000 |1 |294 |
|3 | TABLE SCAN |AC08(IDX_AC08EES_AAC001) |1 |294 |
|4 | PX COORDINATOR | |1 |46 |
|5 | EXCHANGE OUT DISTR |:EX20000 |1 |46 |
|6 | SUBPLAN SCAN |VIEW1 |1 |46 |
|7 | PX PARTITION ITERATOR| |1 |46 |
|8 | TABLE SCAN |B(IDX_AC08_AAZ686_AAE792)|1 |46 |
=======================================================================Outputs & filters:
-------------------------------------0 - output([AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ686], [AC08.AAC001], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE140], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE792], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), filter(nil), conds(nil), nl_params_([AC08.AAZ686])1 - output([AC08.AAC001], [AC08.AAE140], [AC08.AAE792], [AC08.AAZ686], [AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), filter(nil)2 - output([AC08.AAC001], [AC08.AAE140], [AC08.AAE792], [AC08.AAZ686], [AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), filter(nil), is_single, dop=13 - output([AC08.AAC001], [AC08.AAE140], [AC08.AAE792], [AC08.AAZ686], [AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), filter([cast(cast(AC08.AAE140, VARCHAR2(3 BYTE)), NUMBER(-1, -85)) = 120], [AC08.AAE792 IN (?, ?)]), access([AC08.AAC001], [AC08.AAE140], [AC08.AAE792], [AC08.AAZ686], [AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), partitions(p0)4 - output([1]), filter(nil)5 - output([1]), filter(nil), dop=16 - output([1]), filter(nil), access([VIEW1.B.AAZ686])7 - output([B.AAZ686]), filter(nil)8 - output([B.AAZ686]), filter(nil), access([B.AAZ686]), partitions(p[0-127])从执行计划上看，上面的SQL没有可以优化的地方了，访问路径是对的，表关联方式也是对的
对于一般的DBA来说，可能放弃治疗了
注意观察执行计划，ID = 8 access([B.AAZ686]), partitions(p[0-127]) 访问了所有的分区
OB是分布式数据库，会根据分区将数据打散到所有的数据节点
每次跑这个SQL都会访问所有的数据节点，如果并发较高，就会对整个OB带来压力
执行计划上没有优化的地方，那就从SQL写法和业务逻辑入手
喵了一眼SQL写法，也没问题，现在只能从业务逻辑入手了，查一下表和列的注释
AC08 养老保险人员实收明细表
AAC001 人员编号，分区KEY
AAE140 险种类型
AAE792 费用标志
AAZ686 人员缴费ID
看到这里就知道怎么优化了，原始SQL语句中 NOT EXISTS 部分少加了个关联条件，我们再来看一下原始SQL：
SELECT * FROM AC08 WHERE (AAC001 = ? AND AAE140= ? AND AAE792 IN (?,?) AND NOT EXISTS (SELECT ? FROM AC08 B WHERE AC08.AAZ686 = B.AAZ686 AND B.AAE792 IN (?)))
应该把SQL改成
SELECT * FROM AC08 WHERE (AAC001 = ? AND AAE140= ? AND AAE792 IN (?,?) AND NOT EXISTS (SELECT ? FROM AC08 B WHERE AC08.AAZ686 = B.AAZ686 AND AC08.AAC001=B.AAC001 AND B.AAE792 IN (?)))
因为人员缴费ID(AAZ686) 一般是与人员编号(AAC001) 一一对应的
加上AC08.AAC001=B.AAC001过滤条件之后，就能避免OB跨数据节点访问了
更改后的执行计划如下：
=====================================================================
|ID|OPERATOR |NAME |EST. ROWS|COST|
---------------------------------------------------------------------
|0 |EXCHANGE IN REMOTE | |1 |337 |
|1 | EXCHANGE OUT REMOTE | |1 |330 |
|2 | NESTED-LOOP ANTI JOIN| |1 |330 |
|3 | TABLE SCAN |AC08(IDX_AC08EES_AAC001) |1 |294 |
|4 | SUBPLAN SCAN |VIEW1 |1 |46 |
|5 | TABLE SCAN |B(IDX_AC08_AAZ686_AAE792)|1 |46 |
=====================================================================Outputs & filters:
-------------------------------------0 - output([AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ686], [AC08.AAC001], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE140], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE792], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), filter(nil)1 - output([AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ686], [AC08.AAC001], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE140], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE792], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), filter(nil)2 - output([AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ686], [AC08.AAC001], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE140], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE792], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), filter(nil), conds(nil), nl_params_([AC08.AAZ686])3 - output([AC08.AAC001], [AC08.AAE140], [AC08.AAE792], [AC08.AAZ686], [AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), filter([cast(cast(AC08.AAE140, VARCHAR2(3 BYTE)), NUMBER(-1, -85)) = 120], [AC08.AAE792 IN (?, ?)]), access([AC08.AAC001], [AC08.AAE140], [AC08.AAE792], [AC08.AAZ686], [AC08.AAZ648], [AC08.AAZ223], [AC08.AAZ159], [AC08.AAZ061], [AC08.AAB001], [AC08.AAB365], [AC08.AAE002], [AC08.AAE003], [AC08.AAA115], [AC08.AAE793], [AC08.AAE794], [AC08.AAA093], [AC08.AAC066], [AC08.AAC313], [AC08.AAC314], [AC08.AAE737], [AC08.AAB019], [AC08.AAB033], [AC08.AAE745], [AC08.AAC028], [AC08.AAC040], [AC08.AAB121], [AC08.AAE180], [AC08.AAE795], [AC08.AAE871], [AC08.AAE020], [AC08.AAE021], [AC08.AAE022], [AC08.AAE023], [AC08.AAE784], [AC08.AAE785], [AC08.AAE786], [AC08.AAE787], [AC08.AAE836], [AC08.AAE837], [AC08.AAE838], [AC08.AAE839], [AC08.AAE056], [AC08.AAE887], [AC08.AAE026], [AC08.AAE828], [AC08.AIC380], [AC08.AAE834], [AC08.AAE845], [AC08.AAE844], [AC08.AAB191], [AC08.AAE080], [AC08.AAE081], [AC08.AAE082], [AC08.AAE083], [AC08.AAE788], [AC08.AAE789], [AC08.AAE790], [AC08.AAE791], [AC08.AAE840], [AC08.AAE841], [AC08.AAE842], [AC08.AAE843], [AC08.AAE057], [AC08.AAE888], [AC08.AAE086], [AC08.AAE741], [AC08.AAE202], [AC08.AAA042], [AC08.AAA043], [AC08.AAA041], [AC08.AAA045], [AC08.AAZ616], [AC08.AAZ615], [AC08.AAE061], [AC08.AAE108], [AC08.AAB301], [AC08.AAB299], [AC08.AAE729], [AC08.AAE819], [AC08.AAE820], [AC08.AAE796], [AC08.AAE797], [AC08.AAE798], [AC08.AAE799], [AC08.AAE800], [AC08.AAZ625], [AC08.AAE150], [AC08.AAE066], [AC08.AAE748], [AC08.AAE822], [AC08.AAZ631], [AC08.AAZ650], [AC08.AAC323], [AC08.AAE013], [AC08.AAZ649], [AC08.AAE860], [AC08.AAE859], [AC08.AAE011], [AC08.AAZ692], [AC08.AAE036], [AC08.AAB034], [AC08.AAB360], [AC08.AAB359], [AC08.AAF018], [AC08.AAA431], [AC08.AAZ673], [AC08.AAA027], [AC08.AAA508], [AC08.AAA350]), partitions(p0)4 - output([1]), filter(nil), access([VIEW1.B.AAZ686])5 - output([B.AAZ686]), filter([B.AAC001 = 1026005878]), access([B.AAC001], [B.AAZ686]), partitions(p0)执行计划中的PX消失了(你可以理解为跨界点访问)，说明数据访问，关联都在一个节点完成
最终SQL由每次0.5秒-2秒优化到每次0.05秒，性能提升了10倍
算上每天跑20w次，平均耗费20%的CPU资源，那么这一个点的优化就可以将CPU资源从20%降低到2%
最后，有些小伙伴会有疑问，你咋知道SQL的NOT EXISTS应该加AC08.AAC001=B.AAC001过滤条件？原因有2个
1. 业务逻辑反推(得有开发&业务思维，纯运维DBA可能没这个思维)
2. AAC001是分区key
还有些小伙伴可能还有疑问，如果没有开发&业务思维怎么办？ 也可以写个SQL检查AAC001与AAZ686的对应关系
select *from (select AAZ686, count(*) cntfrom (select AAZ686, AAC001 from ac08 group by AAZ686, AAC001)group by AAZ686order by 2 desc)where rownum <= 10;如果CNT都是1就证明了我们的逻辑反推，如果CNT>1，得和业务确认，看看表中数据是否有问题
讲到这里还遇到点插曲，最开始查询的时候确实是1，过了2周我准备写博客了，再去查询发现CNT变成2了，把我吓了一跳
最终找到开发商，和业务确认，数据有错误。搞优化的同时帮开发商发现了数据质量问题，这尼玛...
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