任何一個關系型數據庫關于模糊匹配（like)的優化都是一件痛苦的事，相對而言，諸如like 'abc%'之類的還好一點，可以通過創建索引來優化，但對于like 'c%'之類的，真的就沒有辦法了。
這里介紹一種postgresql關于like 'c%'的優化方法，是基于全文檢索的特性來實現的。
測試數據準備（環境centos6.5 + postgresql 9.6.1）。
postgres=# create table ts(id int,name text);
CREATE TABLE
postgres=# \d ts
Table "public.ts"
Column | Type | Modifiers
--------+---------+-----------
id | integer |
name | text |
postgres=# insert into ts select n,n||'_pjy' from generate_series(1,2000) n;
INSERT 0 2000
postgres=# insert into ts select n,n||'_mdh' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_lmm' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_syf' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_wbd' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_hhh' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_sjw' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_jjs' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_ymd' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_biu' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# insert into ts select n,n||'_dfl' from generate_series(1,2000000) n;
INSERT 0 2000000
postgres=# select count(*) from ts;
count
----------
20002000
(1 row)
開始測試：
postgres=# explain analyze select * from ts where name like '%pjy%';
QUERY PLAN
-----------------------------------------------------------------------------------------------------------
Seq Scan on ts (cost=0.00..358144.05 rows=2000 width=15) (actual time=0.006..1877.087 rows=2000 loops=1)
Filter: (name ~~ '%pjy%'::text)
Rows Removed by Filter: 20000000
Planning time: 0.031 ms
Execution time: 1877.178 ms
(5 rows)
關鍵一步：
postgres=# create index idx_name on ts using gin (to_tsvector('english',name));
CREATE INDEX
postgres=# vacuum analyze ts;
VACUUM
postgres=# \d ts
Table "public.ts"
Column | Type | Modifiers
--------+---------+-----------
id | integer |
name | text |
Indexes:
"idx_name" gin (to_tsvector('english'::regconfig, name))
postgres=# explain analyze select * from ts where to_tsvector('english',name) @@ to_tsquery('pjy');
QUERY PLAN
---------------------------------------------------------------------------------------------------------------------
Bitmap Heap Scan on ts (cost=39.75..8187.70 rows=2000 width=15) (actual time=0.016..0.016 rows=0 loops=1)
Recheck Cond: (to_tsvector('english'::regconfig, name) @@ to_tsquery('pjy'::text))
-> Bitmap Index Scan on idx_name (cost=0.00..39.25 rows=2000 width=0) (actual time=0.016..0.016 rows=0 loops=1)
Index Cond: (to_tsvector('english'::regconfig, name) @@ to_tsquery('pjy'::text))
Planning time: 0.094 ms
Execution time: 0.036 ms
(6 rows)
大家可以看到，執行時間從2秒下降到了0.04毫秒！！！
關于pg的全文檢索，tsvector和tsquery，這里就不詳細介紹了，大家可以自己查閱手冊。
補充：postgresql子查詢優化(提升子查詢)
問題背景
在開發項目過程中，客戶要求使用gbase8s數據庫(基于informix)，簡單的分頁頁面響應很慢。排查發現分頁sql是先查詢出數據在外面套一層后再取多少條，如果去掉嵌套的一層，直接獲取則很快。日常使用中postgresql并沒有這樣的操作也很快，這是為什么呢？
說明
在數據庫實現早期，查詢優化器對子查詢一般采用嵌套執行的方式，即父查詢中的每一行，都要執行一次子查詢，這樣子查詢會執行很多次，效率非常低。
本篇主要講postgresql針對子查詢的優化。
項目中使用子查詢的地方非常多，如何寫出高效的sql，掌握子查詢的優化是非常有必要的。
執行計劃對比（gbase8s vs postgresql）:
gbase8s慢sql執行計劃：
--gbase8s執行計劃
SET EXPLAIN ON ;
SET EXPLAIN FILE TO '/home/gbasedbt/sqexplain.out' ;
select skip 0 first 15 * from ( select * from T_SZGL_JDRY order by T_SZGL_JDRY.updatetime desc ) Estimated Cost: 3207 Estimated # of Rows Returned: 6172 1) gbasedbt.t_szgl_jdry: INDEX PATH (1) Index Name: gbasedbt.i_t_szgl_jdry_updatetime Index Keys: updatetime (Reverse) (Serial, fragments: ALL) QUERY: (OPTIMIZATION TIMESTAMP: 12-21-2017 03:20:43) ------ select skip 0 first 15 * from ( select * from T_SZGL_JDRY order by T_SZGL_JDRY.updatetime desc ) Estimated Cost: 232 Estimated # of Rows Returned: 6172 1) (Temp Table For Collection Subquery): SEQUENTIAL SCAN Query statistics: ----------------- The final cost of the plan is reduced because of the FIRST n specification in the query. Table map : ---------------------------- Internal name Table name ---------------------------- t1 t_szgl_jdry t2 (Temp Table For Collection Subquery) type table rows_prod est_rows rows_scan time est_cost ------------------------------------------------------------------- scan t1 6173 6172 6173 00:00.05 3207 --查詢執行用 222 ms,15行受影響
gbase8s修改后執行計劃
select skip 0 first 15 * from T_SZGL_JDRY order by T_SZGL_JDRY.updatetime desc Estimated Cost: 7 Estimated # of Rows Returned: 6172 1) gbasedbt.t_szgl_jdry: INDEX PATH (1) Index Name: gbasedbt.i_t_szgl_jdry_updatetime Index Keys: updatetime (Reverse) (Serial, fragments: ALL) Query statistics: ----------------- The final cost of the plan is reduced because of the FIRST n specification in the query. Table map : ---------------------------- Internal name Table name ---------------------------- t1 t_szgl_jdry type table rows_prod est_rows rows_scan time est_cost ------------------------------------------------------------------- scan t1 15 6172 15 00:00.00 8 QUERY: (OPTIMIZATION TIMESTAMP: 12-21-2017 03:23:25) ------ select 1 from sysusers Estimated Cost: 2 Estimated # of Rows Returned: 1 1) gbasedbt.sysusers: SEQUENTIAL SCAN ... --查詢執行用 18 ms,15行受影響
第一個執行計劃中 (1) (Temp Table For Collection Subquery): SEQUENTIAL SCAN)可以看出是將子查詢的結果查詢出來后，在這個基礎上獲取了15條記錄
對比postgresql執行計劃
--分頁執行計劃-不嵌套
db_jcxxzypt=# explain select * from db_jcxx.t_jcxxzy_tjaj order by d_slrq limit 15 offset 0; QUERY PLAN ------------------------------------------------------------------------- Limit (cost=0.44..28.17 rows=15 width=879) -> Index Scan using idx_ttjaj_dslrq on t_jcxxzy_tjaj (cost=0.44..32374439.85 rows=17507700 width=879) (2 rows) --子查詢執行計劃-嵌套一層 db_jcxxzypt=# explain db_jcxxzypt-# select * from ( db_jcxxzypt(# select * from db_jcxx.t_jcxxzy_tjaj order by d_slrq db_jcxxzypt(# )tab1 limit 15 offset 0; QUERY PLAN ------------------------------------------------------------------------- Limit (cost=0.44..28.32 rows=15 width=879) -> Index Scan using idx_ttjaj_dslrq on t_jcxxzy_tjaj (cost=0.44..32374439.85 rows=17507700 width=879) (2 rows) --子查詢執行計劃-嵌套兩層 db_jcxxzypt=# explain db_jcxxzypt-# select * from ( db_jcxxzypt(# select * from ( db_jcxxzypt(# select * from db_jcxx.t_jcxxzy_tjaj order by d_slrq db_jcxxzypt(# )tab1 )tab2 limit 15 offset 0; QUERY PLAN ------------------------------------------------------------------------- Limit (cost=0.44..28.32 rows=15 width=879) -> Index Scan using idx_ttjaj_dslrq on t_jcxxzy_tjaj (cost=0.44..32374439.85 rows=17507700 width=879) (2 rows)
postgresql的子查詢即使嵌套多層，執行計劃還是和未嵌套一樣。原因就是postgresql在重寫sql的階段上拉子查詢（提升子查詢），把子查詢合并到父查詢中。
postgresql子查詢優化
子查詢可分為三類:一、([not]in/all/any/some),二、([not]exists),三、其他子查詢(sjp子查詢 選擇、投影、連接)
子查詢可以出現在目標列、form子句、where子句、join/on子句、group by子句、having子句、orderby子句等位置。
db_jcxxzypt=# explain select * from t_jcxxzy_tjaj aj ,(select * from t_jcxxzy_ajdsr) dsr where dsr.c_ajbm = '1301020400000120090101'; QUERY PLAN ------------------------------------------------------------------------- Nested Loop (cost=0.56..1252119.58 rows=17507700 width=1098) -> Index Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..8.57 rows=1 width=219) Index Cond: (c_ajbm = '1301020400000120090101'::bpchar) -> Seq Scan on t_jcxxzy_tjaj aj (cost=0.00..1077034.00 rows=17507700 width=879) (4 rows) Time: 1.101 ms
postgresql子鏈接([not]in,[not]exists,all,some,any)
子查詢和子鏈接區別：子查詢是不在表達式中的子句，子鏈接在表達式中的子句
--in子鏈接
(1).
db_jcxxzypt=# explain select * from t_jcxxzy_tjaj aj where aj.c_ajbm in (select dsr.c_ajbm from t_jcxxzy_ajdsr dsr); 轉化為： select * from t_jcxxzy_tjaj aj join t_jcxxzy_ajdsr dsr aj.c_ajbm = dsr.c_ajbm; QUERY PLAN ------------------------------------------------------------------------- Hash Semi Join (cost=362618.61..5537768.07 rows=7957409 width=879) Hash Cond: (t_jcxxzy_tjaj.c_ajbm = t_jcxxzy_ajdsr.c_ajbm) -> Seq Scan on t_jcxxzy_tjaj (cost=0.00..1077034.00 rows=17507700 width=879) -> Hash (cost=237458.59..237458.59 rows=6817202 width=23) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..237458.59 rows=6817202 wi dth=23) (5 rows) --in等價于=any hash semi join表示執行的是兩張表的hash半連接， 原始sql中沒有(t_jcxxzy_tjaj.c_ajbm = t_jcxxzy_ajdsr.c_ajbm),表明此in子查詢被優化，優化后采用hash semi join算法。 (2).相關子查詢 --當加入條件where aj.d_slrq='2001-06-14'后不能提升子鏈接，如果把where aj.d_slrq ='2001-06-14'放到父查詢 是支持子鏈接優化的 db_jcxxzypt=# explain db_jcxxzypt-# select * from t_jcxxzy_tjaj aj where c_ajbm in (select c_ajbm from t_jcxxzy_ajdsr dsr where aj.d_slrq='2001-06-14') ; QUERY PLAN ------------------------------------------------------------------------- Seq Scan on t_jcxxzy_tjaj aj (cost=0.00..2227874766580.75 rows=8753850 width=879) Filter: (SubPlan 1) SubPlan 1 -> Result (cost=0.56..237458.59 rows=6817202 width=23) One-Time Filter: (aj.d_slrq = '2001-06-14'::date) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr dsr (cost=0.56..237458.59 rows=6817 202 width=23) (6 rows (3). -- not in不能提升子鏈接 db_jcxxzypt=# explain select * from db_jcxx.t_jcxxzy_tjaj where c_ajbm not in (select c_ajbm from db_jcxx.t_jcxxzy_ajdsr); QUERY PLAN ------------------------------------------------------------------------- Seq Scan on t_jcxxzy_tjaj (cost=0.56..2875921362927.06 rows=8753850 width=879) Filter: (NOT (SubPlan 1)) SubPlan 1 -> Materialize (cost=0.56..311489.60 rows=6817202 width=23) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..237458.59 rows=6817202 width=23) (5 rows) --not in與>all含義相同
in子句存在不被優化的可能、當in子句中包含了主查詢的表字段，和主查詢有相關性時不能提升子鏈接。
exists子鏈接
--exists子鏈接
db_jcxxzypt=# explain
db_jcxxzypt-# select * from t_jcxxzy_tjaj aj where exists (select c_ajbm from t_jcxxzy_ajdsr dsr where aj.c_ajbm = dsr.c_ajbm); QUERY PLAN ------------------------------------------------------------------------- Hash Semi Join (cost=362618.61..5537768.07 rows=7957409 width=879) Hash Cond: (aj.c_ajbm = dsr.c_ajbm) -> Seq Scan on t_jcxxzy_tjaj aj (cost=0.00..1077034.00 rows=17507700 width=879) -> Hash (cost=237458.59..237458.59 rows=6817202 width=23) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr dsr (cost=0.56..237458.59 rows=681720 2 width=23) (5 rows) -- 當加入where aj.c_xzdm = '150622'條件在子鏈接時，仍然支持上拉 db_jcxxzypt=# explain db_jcxxzypt-# select * from t_jcxxzy_tjaj aj where exists (select c_ajbm from t_jcxxzy_ajdsr dsr where aj.c_xzdm = '150622'); QUERY PLAN ------------------------------------------------------------------------- Nested Loop Semi Join (cost=0.56..1361779.20 rows=5436 width=879) -> Seq Scan on t_jcxxzy_tjaj aj (cost=0.00..1120803.25 rows=5436 width=879) Filter: ((c_xzdm)::text = '150622'::text) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr dsr (cost=0.56..237458.59 rows=6817202 widt h=0) (4 rows) --exists子鏈接 db_jcxxzypt=# explain db_jcxxzypt-# select * from t_jcxxzy_tjaj aj where exists (select c_ajbm from t_jcxxzy_ajdsr dsr where dsr.c_ajbm='1101120300000120030101') db_jcxxzypt-# ; QUERY PLAN ------------------------------------------------------------------------- Result (cost=4.58..1077038.57 rows=17507700 width=879) One-Time Filter: $0 InitPlan 1 (returns $0) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr dsr (cost=0.56..4.58 rows=1 width=0) Index Cond: (c_ajbm = '1101120300000120030101'::bpchar) -> Seq Scan on t_jcxxzy_tjaj aj (cost=0.00..1077034.00 rows=17507700 width=879) (6 rows)
子查詢只執行了一次，作為aj表的參數。
--not exists子鏈接 db_jcxxzypt=# explain db_jcxxzypt-# select * from t_jcxxzy_tjaj aj where not exists (select c_ajbm from t_jcxxzy_ajdsr dsr); QUERY PLAN ------------------------------------------------------------------------- Result (cost=0.04..1077034.04 rows=17507700 width=879) One-Time Filter: (NOT $0) InitPlan 1 (returns $0) -> Seq Scan on t_jcxxzy_ajdsr dsr (cost=0.00..281210.02 rows=6817202 width=0) -> Seq Scan on t_jcxxzy_tjaj aj (cost=0.00..1077034.00 rows=17507700 width=879) (5 rows)
從執行計劃上看，not exists子查詢并沒有被消除，子查詢只是執行了一次，將結果作為aj表的參數。
in和exists都存在不被優化的可能，對于in和exists的選擇，當父查詢結果集小于子查詢結果集則選擇exists，如果父查詢結果集大于子查詢結果集選擇in。
所有的all子鏈接都不支持上拉
db_jcxxzypt=# explain select * from db_jcxx.t_jcxxzy_tjaj where c_ajbm >all(select c_ajbm from db_jcxx.t_jcxxzy_ajdsr); QUERY PLAN ------------------------------------------------------------------------- Seq Scan on t_jcxxzy_tjaj (cost=0.56..2875921362927.06 rows=8753850 width=879) Filter: (SubPlan 1) SubPlan 1 -> Materialize (cost=0.56..311489.60 rows=6817202 width=23) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..237458.59 rows=6817202 width=23) (5 rows) db_jcxxzypt=# explain select * from db_jcxx.t_jcxxzy_tjaj where c_ajbm =all(select c_ajbm from db_jcxx.t_jcxxzy_ajdsr); QUERY PLAN ------------------------------------------------------------------------- Seq Scan on t_jcxxzy_tjaj (cost=0.56..2875921362927.06 rows=8753850 width=879) Filter: (SubPlan 1) SubPlan 1 -> Materialize (cost=0.56..311489.60 rows=6817202 width=23) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..237458.59 rows=6817202 width=23) (5 rows) db_jcxxzypt=# explain select * from db_jcxx.t_jcxxzy_tjaj where c_ajbm all(select c_ajbm from db_jcxx.t_jcxxzy_ajdsr); QUERY PLAN ------------------------------------------------------------------------- Seq Scan on t_jcxxzy_tjaj (cost=0.56..2875921362927.06 rows=8753850 width=879) Filter: (SubPlan 1) SubPlan 1 -> Materialize (cost=0.56..311489.60 rows=6817202 width=23) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..237458.59 rows=6817202 width=23) (5 rows)
關于all的查詢都都是以子查詢的形式，不會上拉
some/any
--some和any是等效的
db_jcxxzypt=#explain select * from db_jcxx.t_jcxxzy_tjaj where c_ajbm >some(select c_ajbm from db_jcxx.t_jcxxzy_ajdsr); QUERY PLAN ------------------------------------------------------------------------- - Nested Loop Semi Join (cost=0.56..11316607.35 rows=5835900 width=879) -> Seq Scan on t_jcxxzy_tjaj (cost=0.00..1077034.00 rows=17507700 width=879) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..64266.97 rows=2272401 width=23) Index Cond: (c_ajbm t_jcxxzy_tjaj.c_ajbm) (4 rows) db_jcxxzypt=#explain select * from db_jcxx.t_jcxxzy_tjaj where c_ajbm =some(select c_ajbm from db_jcxx.t_jcxxzy_ajdsr); QUERY PLAN ------------------------------------------------------------------------- Hash Semi Join (cost=362618.61..5537768.07 rows=7957409 width=879) Hash Cond: (t_jcxxzy_tjaj.c_ajbm = t_jcxxzy_ajdsr.c_ajbm) -> Seq Scan on t_jcxxzy_tjaj (cost=0.00..1077034.00 rows=17507700 width=879) -> Hash (cost=237458.59..237458.59 rows=6817202 width=23) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..237458.59 rows=6817202 wi dth=23) (5 rows) db_jcxxzypt=#explain select * from db_jcxx.t_jcxxzy_tjaj where c_ajbm some(select c_ajbm from db_jcxx.t_jcxxzy_ajdsr); QUERY PLAN ------------------------------------------------------------------------- Nested Loop Semi Join (cost=0.56..11316607.35 rows=5835900 width=879) -> Seq Scan on t_jcxxzy_tjaj (cost=0.00..1077034.00 rows=17507700 width=879) -> Index Only Scan using idx_tajdsr_cajbm on t_jcxxzy_ajdsr (cost=0.56..64266.97 rows=2272401 width=23) Index Cond: (c_ajbm > t_jcxxzy_tjaj.c_ajbm) (4 rows) --some中未出現子查詢，dsr表都被上拉到父查詢中，與aj表進行嵌套半連接和hash半連接
這些查詢中all是完全不支持上拉子子鏈接的，而in和exists存在不被上拉的可能。
不可上拉的子查詢
不支持帶有with子句的格式，集合操作、聚集函數(aggregates、group、distinct)、cte、having、limit/offset等子句格式
db_jcxxzypt=# explain select * from t_jcxxzy_tjaj aj ,(select * from t_jcxxzy_ajdsr limit 10) dsr where dsr.c_ajbm = '1301020400000120090101'; QUERY PLAN ------------------------------------------------------------------------- Nested Loop (cost=0.00..1252111.54 rows=17507700 width=1098) -> Subquery Scan on dsr (cost=0.00..0.54 rows=1 width=219) Filter: (dsr.c_ajbm = '1301020400000120090101'::bpchar) -> Limit (cost=0.00..0.41 rows=10 width=219) -> Seq Scan on t_jcxxzy_ajdsr (cost=0.00..281210.02 rows=6817202 width=219) -> Seq Scan on t_jcxxzy_tjaj aj (cost=0.00..1077034.00 rows=17507700 width=879) (6 rows) Time: 0.958 ms
上拉子查詢后，父級的多個表之間的連接順序是怎么樣的呢？會有什么變化嗎？
對于被上拉的子查詢，abase把子查詢的關系并入主from-list中，這樣關系的個數會增加，按照多表連接順序算法就會產生更多的連接路徑比如A、B、C三張表的關聯就有{A,B}、{A,C}、{B,A}、{B,C}、{C,A}、{C,B}六種連接方式
join與子查詢固化或rewrite
join或子查詢的優化，屬于優化器優化JOIN的范疇。
當用戶的QUERY涉及到多個JOIN對象，或者涉及到多個子查詢時，優化器可以選擇是否改變當前的SQL，產生更多的plan選擇更優的執行計劃。
postgresql.conf文件中：
當from列表的對象少于from_collapse_limit時，優化器可以將子查詢提升到上層進行JOIN，從而可能選擇到更優的執行計劃。
#join_collapse_limit = 8 # 1 disables collapsing of explicit
# JOIN clauses 當使用顯示的JOIN時（除了full join），例如a join b join c join d，優化器可以重排JOIN的順序，以產生更多的PLAN選擇更優的執行計劃。 如果join_collapse_limit=1，則不重排，使用SQL寫法提供的順序。 如果用戶要固化JOIN順序，請使用顯示的JOIN，同時將join_collapse_limit設置為1。 如果用戶不打算提升子查詢，同樣的，將from_collapse_limit 設置為1即可。
等價改寫
子查詢中沒有group by子句，也沒有聚集函數，則可使用下面的等價轉換
val>all(select...) to val>max(select...)
valall(select...) to valmin(select...)
val>any(select...) to val>min(select...) valany(select...) to valmax(select...) val>=all(select...) to val>=max(select...) val=all(select...) to val=min(select...) val>=any(select...) to val>=min(select...) val=any(select...) to val=max(select...)
通常，聚集函數min(),max()的執行效率要比any、all效率高
相關子查詢和非相關子查詢
相關子查詢子查詢的執行依賴于外層父查詢的一些屬性值。子查詢因依賴于父查詢的參數，當父查詢的參數改變時，子查詢需要根據新參數值重新執行（查詢優化器對相關子查詢進行優化有一定意義），如：
select * from t_jcxxzy_tjaj aj where c_ajbm in (select c_ajbm from t_jcxxzy_ajdsr dsr where dsr.c_ajbm = aj.c_ajbm)/* 子查詢語句中存在父查詢的列 */
非相關子查詢子查詢的執行，不依賴于外層父查詢的任何屬性值。這樣子查詢具有獨立性，可獨自求解，形成一個子查詢計劃先于外層的查詢求解，如：
select * from t_jcxxzy_tjaj aj where c_ajbm in (select c_ajbm from t_jcxxzy_ajdsr dsr where dsr.c_xzdm = '150622')/* 子查詢語句中不存在父查詢的屬性 */
結束語
1.postgresql子查詢的優化思路，子查詢不用執行多次
2.優化器可以根據統計信息來選擇不同的連接方法和不同的連接順序
3.子查詢中的連接條件，過濾條件分別變成了父查詢的連接條件、過濾條件、優化器可以對這些條件進行下推、提高執行效率
4.將子查詢優化為表連接后，子查詢只需要執行一次、而優化器可以根據統計信息來選擇不同的連接方式和連接順序、子查詢的連接條件和過濾條件分別變成父查詢的條件。
5.這些查詢中all是完全不支持上拉子子鏈接的，in和exists存在不被優化的可能
6.not exists雖然沒有被上拉，但是被優化為只執行一次，相對于not in稍好
7.可使用等價改寫的方式優化
8.可根據配置文件，固化子查詢，以及表的連接順序
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