窗口函数的名字是over()函数，罕用的有两个属性partition by和order by，partition by相似于group by，咱们通常将group by叫做分组，而partition by称作分区。

个别构造为：

Function(arg1 , arg2 ……) over(partition by clause order by clause windowing clause )Windowing clause : rows | range between start_expr and end_exprStart_expr is unbounded preceding | current row | n preceding | n followingEnd_expr is unbounded following | current row | n preceding | n following

Function能够是上面函数，前面有星号 （*） 的函数容许残缺的语法，包含windowing_clause。

AVG *CLUSTER_DETAILSCLUSTER_DISTANCECLUSTER_IDCLUSTER_PROBABILITYCLUSTER_SETCORR *COUNT *COVAR_POP *COVAR_SAMP *CUME_DISTDENSE_RANKFEATURE_DETAILSFEATURE_IDFEATURE_SETFEATURE_VALUEFIRSTFIRST_VALUE *LAGLASTLAST_VALUE *LEADLISTAGGMAX *MIN *NTH_VALUE *NTILEPERCENT_RANKPERCENTILE_CONTPERCENTILE_DISCPREDICTIONPREDICTION_COSTPREDICTION_DETAILSPREDICTION_PROBABILITYPREDICTION_SETRANKRATIO_TO_REPORTREGR_ (Linear Regression) Functions *ROW_NUMBERSTDDEV *STDDEV_POP *STDDEV_SAMP *SUM *VAR_POP *VAR_SAMP *VARIANCE *

Windowing clause 指定剖析函数的对象物理或逻辑行集（ ROWS | RANGE ）。

举个例子。

conn test/test@localhost:1521/pdbcreate table test_tab (student_id number, subject_id number, score number);insert into test_tab values(1,1,90);insert into test_tab values(1,2,98);insert into test_tab values(1,3,99);insert into test_tab values(1,4,95);insert into test_tab values(2,1,98);insert into test_tab values(2,2,95);insert into test_tab values(2,3,98);insert into test_tab values(2,4,97);insert into test_tab values(3,1,93);insert into test_tab values(3,2,94);insert into test_tab values(3,3,94);insert into test_tab values(3,4,91);commit;

--以“subject_id”分区，找出每个人和雷同“subject_id”的均匀“score”的偏离值。

SQL> set autot onSQL> select t.*,(t.score-avg(t.score) over( partition by t.subject_id)) as gapsfrom test_tab torder by student_id,subject_id;  2    3STUDENT_ID SUBJECT_ID      SCORE       GAPS---------- ---------- ---------- ----------         1          1         90 -3.6666667         1          2         98 2.33333333         1          3         99          2         1          4         95 .666666667         2          1         98 4.33333333         2          2         95 -.66666667         2          3         98          1         2          4         97 2.66666667         3          1         93 -.66666667         3          2         94 -1.6666667         3          3         94         -3         3          4         91 -3.333333312行が選択されました。実行計画----------------------------------------------------------Plan hash value: 2491645504--------------------------------------------------------------------------------| Id  | Operation           | Name     | Rows  | Bytes | Cost (%CPU)| Time     |--------------------------------------------------------------------------------|   0 | SELECT STATEMENT    |          |    12 |   108 |     5  (40)| 00:00:01 ||   1 |  SORT ORDER BY      |          |    12 |   108 |     5  (40)| 00:00:01 ||   2 |   WINDOW SORT       |          |    12 |   108 |     5  (40)| 00:00:01 ||   3 |    TABLE ACCESS FULL| TEST_TAB |    12 |   108 |     3   (0)| 00:00:01 |--------------------------------------------------------------------------------統計----------------------------------------------------------         59  recursive calls         23  db block gets         99  consistent gets          1  physical reads       4080  redo size       1158  bytes sent via SQL*Net to client        608  bytes received via SQL*Net from client          2  SQL*Net roundtrips to/from client          7  sorts (memory)          0  sorts (disk)         12  rows processed

--不应用窗口函数获得下面的后果。

select t1.*, (t1.score - t3.avgs) as gaps  from test_student_score t1,       (select t2.subject_id, avg(t2.score) as avgs          from test_student_score t2         group by t2.subject_id) t3where t1.subject_id = t3.subject_idorder by t1.student_id,t1.subject_id;STUDENT_ID SUBJECT_ID      SCORE       GAPS---------- ---------- ---------- ----------         1          1         90 -3.6666667         1          2         98 2.33333333         1          3         99          2         1          4         95 .666666667         2          1         98 4.33333333         2          2         95 -.66666667         2          3         98          1         2          4         97 2.66666667         3          1         93 -.66666667         3          2         94 -1.6666667         3          3         94         -3         3          4         91 -3.333333312行が選択されました。実行計画----------------------------------------------------------Plan hash value: 1945508744------------------------------------------------------------------------------------------| Id  | Operation           | Name               | Rows  | Bytes | Cost (%CPU)| Time     |------------------------------------------------------------------------------------------|   0 | SELECT STATEMENT    |                    |    36 |  2772 |     7  (15)| 00:00:01 ||   1 |  SORT GROUP BY      |                    |    36 |  2772 |     7  (15)| 00:00:01 ||*  2 |   HASH JOIN         |                    |    36 |  2772 |     6   (0)| 00:00:01 ||   3 |    TABLE ACCESS FULL| TEST_STUDENT_SCORE |    12 |   612 |     3   (0)| 00:00:01 ||   4 |    TABLE ACCESS FULL| TEST_STUDENT_SCORE |    12 |   312 |     3   (0)| 00:00:01 |------------------------------------------------------------------------------------------Predicate Information (identified by operation id):---------------------------------------------------   2 - access("T1"."SUBJECT_ID"="T2"."SUBJECT_ID")Note-----   - dynamic statistics used: dynamic sampling (level=2)統計----------------------------------------------------------        374  recursive calls          0  db block gets        363  consistent gets          0  physical reads          0  redo size       1158  bytes sent via SQL*Net to client        608  bytes received via SQL*Net from client          2  SQL*Net roundtrips to/from client         28  sorts (memory)          0  sorts (disk)         12  rows processed

简略比拟一下，仿佛应用窗口函数时的COST更小。

2021/04/15 @ Dalian