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文档:v3.0
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窗口函数(分析函数)

窗口函数与OVER语句一起使用。OVER语句用于对数据进行分组,并对组内元素进行排序。

img 说明: 窗口函数中的order by后面必须跟字段名,若order by后面跟数字,该数字会被按照常量处理,因此对目标列没有起到排序的作用。

  • RANK()

    描述:RANK函数为各组内值生成跳跃排序序号,其中,相同的值具有相同序号。

    返回值类型:BIGINT

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, rank() OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
       d_moy | d_fy_week_seq | rank
    -------+---------------+------
         1 |             1 |    1
         1 |             1 |    1
         1 |             1 |    1
         1 |             1 |    1
         1 |             1 |    1
         1 |             1 |    1
         1 |             1 |    1
         1 |             2 |    8
         1 |             2 |    8
         1 |             2 |    8
         1 |             2 |    8
         1 |             2 |    8
         1 |             2 |    8
         1 |             2 |    8
         1 |             3 |   15
         1 |             3 |   15
         1 |             3 |   15
         1 |             3 |   15
         1 |             3 |   15
         1 |             3 |   15
         1 |             3 |   15
         1 |             4 |   22
         1 |             4 |   22
         1 |             4 |   22
         1 |             4 |   22
         1 |             4 |   22
         1 |             4 |   22
         1 |             4 |   22
         1 |             5 |   29
         1 |             5 |   29
         2 |             5 |    1
         2 |             5 |    1
         2 |             5 |    1
         2 |             5 |    1
         2 |             5 |    1
         2 |             6 |    6
         2 |             6 |    6
         2 |             6 |    6
         2 |             6 |    6
         2 |             6 |    6
         2 |             6 |    6
         2 |             6 |    6
    (42 rows)
  • ROW_NUMBER()

    描述:ROW_NUMBER函数为各组内值生成连续排序序号,其中,相同的值其序号也不相同。

    返回值类型:BIGINT

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, Row_number() OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim  WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
     d_moy | d_fy_week_seq | row_number
    -------+---------------+------------
         1 |             1 |          1
         1 |             1 |          2
         1 |             1 |          3
         1 |             1 |          4
         1 |             1 |          5
         1 |             1 |          6
         1 |             1 |          7
         1 |             2 |          8
         1 |             2 |          9
         1 |             2 |         10
         1 |             2 |         11
         1 |             2 |         12
         1 |             2 |         13
         1 |             2 |         14
         1 |             3 |         15
         1 |             3 |         16
         1 |             3 |         17
         1 |             3 |         18
         1 |             3 |         19
         1 |             3 |         20
         1 |             3 |         21
         1 |             4 |         22
         1 |             4 |         23
         1 |             4 |         24
         1 |             4 |         25
         1 |             4 |         26
         1 |             4 |         27
         1 |             4 |         28
         1 |             5 |         29
         1 |             5 |         30
         2 |             5 |          1
         2 |             5 |          2
         2 |             5 |          3
         2 |             5 |          4
         2 |             5 |          5
         2 |             6 |          6
         2 |             6 |          7
         2 |             6 |          8
         2 |             6 |          9
         2 |             6 |         10
         2 |             6 |         11
         2 |             6 |         12
    (42 rows)
  • DENSE_RANK()

    描述:DENSE_RANK函数为各组内值生成连续排序序号,其中,相同的值具有相同序号。

    返回值类型:BIGINT

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, dense_rank() OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
     d_moy | d_fy_week_seq | dense_rank
    -------+---------------+------------
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             2 |          2
         1 |             2 |          2
         1 |             2 |          2
         1 |             2 |          2
         1 |             2 |          2
         1 |             2 |          2
         1 |             2 |          2
         1 |             3 |          3
         1 |             3 |          3
         1 |             3 |          3
         1 |             3 |          3
         1 |             3 |          3
         1 |             3 |          3
         1 |             3 |          3
         1 |             4 |          4
         1 |             4 |          4
         1 |             4 |          4
         1 |             4 |          4
         1 |             4 |          4
         1 |             4 |          4
         1 |             4 |          4
         1 |             5 |          5
         1 |             5 |          5
         2 |             5 |          1
         2 |             5 |          1
         2 |             5 |          1
         2 |             5 |          1
         2 |             5 |          1
         2 |             6 |          2
         2 |             6 |          2
         2 |             6 |          2
         2 |             6 |          2
         2 |             6 |          2
         2 |             6 |          2
         2 |             6 |          2
    (42 rows)
  • PERCENT_RANK()

    描述:PERCENT_RANK函数为各组内对应值生成相对序号,即根据公式 (rank - 1) / (total rows - 1)计算所得的值。其中rank为该值依据RANK函数所生成的对应序号,totalrows为该分组内的总元素个数。

    返回值类型:DOUBLE PRECISION

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, percent_rank() OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
     d_moy | d_fy_week_seq |   percent_rank
    -------+---------------+------------------
         1 |             1 |                0
         1 |             1 |                0
         1 |             1 |                0
         1 |             1 |                0
         1 |             1 |                0
         1 |             1 |                0
         1 |             1 |                0
         1 |             2 | .241379310344828
         1 |             2 | .241379310344828
         1 |             2 | .241379310344828
         1 |             2 | .241379310344828
         1 |             2 | .241379310344828
         1 |             2 | .241379310344828
         1 |             2 | .241379310344828
         1 |             3 | .482758620689655
         1 |             3 | .482758620689655
         1 |             3 | .482758620689655
         1 |             3 | .482758620689655
         1 |             3 | .482758620689655
         1 |             3 | .482758620689655
         1 |             3 | .482758620689655
         1 |             4 | .724137931034483
         1 |             4 | .724137931034483
         1 |             4 | .724137931034483
         1 |             4 | .724137931034483
         1 |             4 | .724137931034483
         1 |             4 | .724137931034483
         1 |             4 | .724137931034483
         1 |             5 |  .96551724137931
         1 |             5 |  .96551724137931
         2 |             5 |                0
         2 |             5 |                0
         2 |             5 |                0
         2 |             5 |                0
         2 |             5 |                0
         2 |             6 | .454545454545455
         2 |             6 | .454545454545455
         2 |             6 | .454545454545455
         2 |             6 | .454545454545455
         2 |             6 | .454545454545455
         2 |             6 | .454545454545455
         2 |             6 | .454545454545455
    (42 rows)
  • CUME_DIST()

    描述:CUME_DIST函数为各组内对应值生成累积分布序号。即根据公式(小于等于当前值的数据行数)/(该分组总行数totalrows)计算所得的相对序号。

    返回值类型:DOUBLE PRECISION

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, cume_dist() OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim e_dim WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
     d_moy | d_fy_week_seq |    cume_dist
    -------+---------------+------------------
         1 |             1 | .233333333333333
         1 |             1 | .233333333333333
         1 |             1 | .233333333333333
         1 |             1 | .233333333333333
         1 |             1 | .233333333333333
         1 |             1 | .233333333333333
         1 |             1 | .233333333333333
         1 |             2 | .466666666666667
         1 |             2 | .466666666666667
         1 |             2 | .466666666666667
         1 |             2 | .466666666666667
         1 |             2 | .466666666666667
         1 |             2 | .466666666666667
         1 |             2 | .466666666666667
         1 |             3 |               .7
         1 |             3 |               .7
         1 |             3 |               .7
         1 |             3 |               .7
         1 |             3 |               .7
         1 |             3 |               .7
         1 |             3 |               .7
         1 |             4 | .933333333333333
         1 |             4 | .933333333333333
         1 |             4 | .933333333333333
         1 |             4 | .933333333333333
         1 |             4 | .933333333333333
         1 |             4 | .933333333333333
         1 |             4 | .933333333333333
         1 |             5 |                1
         1 |             5 |                1
         2 |             5 | .416666666666667
         2 |             5 | .416666666666667
         2 |             5 | .416666666666667
         2 |             5 | .416666666666667
         2 |             5 | .416666666666667
         2 |             6 |                1
         2 |             6 |                1
         2 |             6 |                1
         2 |             6 |                1
         2 |             6 |                1
         2 |             6 |                1
         2 |             6 |                1
    (42 rows)
  • NTILE(num_buckets integer)

    描述:NTILE函数根据num_buckets integer将有序的数据集合平均分配到num_buckets所指定数量的桶中,并将桶号分配给每一行。分配时应尽量做到平均分配。

    返回值类型:INTEGER

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, ntile(3) OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
     d_moy | d_fy_week_seq | ntile
    -------+---------------+-------
         1 |             1 |     1
         1 |             1 |     1
         1 |             1 |     1
         1 |             1 |     1
         1 |             1 |     1
         1 |             1 |     1
         1 |             1 |     1
         1 |             2 |     1
         1 |             2 |     1
         1 |             2 |     1
         1 |             2 |     2
         1 |             2 |     2
         1 |             2 |     2
         1 |             2 |     2
         1 |             3 |     2
         1 |             3 |     2
         1 |             3 |     2
         1 |             3 |     2
         1 |             3 |     2
         1 |             3 |     2
         1 |             3 |     3
         1 |             4 |     3
         1 |             4 |     3
         1 |             4 |     3
         1 |             4 |     3
         1 |             4 |     3
         1 |             4 |     3
         1 |             4 |     3
         1 |             5 |     3
         1 |             5 |     3
         2 |             5 |     1
         2 |             5 |     1
         2 |             5 |     1
         2 |             5 |     1
         2 |             5 |     2
         2 |             6 |     2
         2 |             6 |     2
         2 |             6 |     2
         2 |             6 |     3
         2 |             6 |     3
         2 |             6 |     3
         2 |             6 |     3
    (42 rows)
  • LAG(value any [, offset integer [, default any ]])

    描述:LAG函数为各组内对应值生成滞后值。即当前值对应的行数往前偏移offset位后所得行的value值作为序号。若经过偏移后行数不存在,则对应结果取为default值。若无指定,在默认情况下,offset取为1,default值取为NULL。

    返回值类型:与参数数据类型相同。

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, lag(d_moy,3,null) OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
     d_moy | d_fy_week_seq | lag
    -------+---------------+-----
         1 |             1 |
         1 |             1 |
         1 |             1 |
         1 |             1 |   1
         1 |             1 |   1
         1 |             1 |   1
         1 |             1 |   1
         1 |             2 |   1
         1 |             2 |   1
         1 |             2 |   1
         1 |             2 |   1
         1 |             2 |   1
         1 |             2 |   1
         1 |             2 |   1
         1 |             3 |   1
         1 |             3 |   1
         1 |             3 |   1
         1 |             3 |   1
         1 |             3 |   1
         1 |             3 |   1
         1 |             3 |   1
         1 |             4 |   1
         1 |             4 |   1
         1 |             4 |   1
         1 |             4 |   1
         1 |             4 |   1
         1 |             4 |   1
         1 |             4 |   1
         1 |             5 |   1
         1 |             5 |   1
         2 |             5 |
         2 |             5 |
         2 |             5 |
         2 |             5 |   2
         2 |             5 |   2
         2 |             6 |   2
         2 |             6 |   2
         2 |             6 |   2
         2 |             6 |   2
         2 |             6 |   2
         2 |             6 |   2
         2 |             6 |   2
    (42 rows)
  • LEAD(value any [, offset integer [, default any ]])

    描述:LEAD函数为各组内对应值生成提前值。即当前值对应的行数向后偏移offset位后所得行的value值作为序号。若经过向后偏移后行数超过当前组内的总行数,则对应结果取为default值。若无指定,在默认情况下,offset取为1,default值取为NULL。

    返回值类型:与参数数据类型相同。

    示例:

      MogDB=# SELECT d_moy, d_fy_week_seq, lead(d_fy_week_seq,2) OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM  tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
      d_moy | d_fy_week_seq | lead
      -------+---------------+------
           1 |             1 |    1
           1 |             1 |    1
           1 |             1 |    1
           1 |             1 |    1
           1 |             1 |    1
           1 |             1 |    2
           1 |             1 |    2
           1 |             2 |    2
           1 |             2 |    2
           1 |             2 |    2
           1 |             2 |    2
           1 |             2 |    2
           1 |             2 |    3
           1 |             2 |    3
           1 |             3 |    3
           1 |             3 |    3
           1 |             3 |    3
           1 |             3 |    3
           1 |             3 |    3
           1 |             3 |    4
           1 |             3 |    4
           1 |             4 |    4
           1 |             4 |    4
           1 |             4 |    4
           1 |             4 |    4
           1 |             4 |    4
           1 |             4 |    5
           1 |             4 |    5
           1 |             5 |
           1 |             5 |
           2 |             5 |    5
           2 |             5 |    5
           2 |             5 |    5
           2 |             5 |    6
           2 |             5 |    6
           2 |             6 |    6
           2 |             6 |    6
           2 |             6 |    6
           2 |             6 |    6
           2 |             6 |    6
           2 |             6 |
           2 |             6 |
      (42 rows)
  • FIRST_VALUE(value any)

    描述:FIRST_VALUE函数取各组内的第一个值作为返回结果。

    返回值类型:与参数数据类型相同。

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, first_value(d_fy_week_seq) OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 7 ORDER BY 1,2;
     d_moy | d_fy_week_seq | first_value
    -------+---------------+-------------
         1 |             1 |           1
         1 |             1 |           1
         1 |             1 |           1
         1 |             1 |           1
         1 |             1 |           1
         1 |             1 |           1
         1 |             1 |           1
         1 |             2 |           1
         1 |             2 |           1
         1 |             2 |           1
         1 |             2 |           1
         1 |             2 |           1
         1 |             2 |           1
         1 |             2 |           1
         1 |             3 |           1
         1 |             3 |           1
         1 |             3 |           1
         1 |             3 |           1
         1 |             3 |           1
         1 |             3 |           1
         1 |             3 |           1
         1 |             4 |           1
         1 |             4 |           1
         1 |             4 |           1
         1 |             4 |           1
         1 |             4 |           1
         1 |             4 |           1
         1 |             4 |           1
         1 |             5 |           1
         1 |             5 |           1
         2 |             5 |           5
         2 |             5 |           5
         2 |             5 |           5
         2 |             5 |           5
         2 |             5 |           5
         2 |             6 |           5
         2 |             6 |           5
         2 |             6 |           5
         2 |             6 |           5
         2 |             6 |           5
         2 |             6 |           5
         2 |             6 |           5
    (42 rows)
  • LAST_VALUE(value any)

    描述:LAST_VALUE函数取各组内的最后一个值作为返回结果。

    返回值类型:与参数数据类型相同。

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, last_value(d_moy) OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 6 ORDER BY 1,2;
      d_moy | d_fy_week_seq | last_value
    -------+---------------+------------
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             1 |          1
         1 |             2 |          1
         1 |             2 |          1
         1 |             2 |          1
         1 |             2 |          1
         1 |             2 |          1
         1 |             2 |          1
         1 |             2 |          1
         1 |             2 |          1
         1 |             3 |          1
         1 |             3 |          1
         1 |             3 |          1
         1 |             3 |          1
         1 |             3 |          1
         1 |             3 |          1
         1 |             3 |          1
         1 |             4 |          1
         1 |             4 |          1
         1 |             4 |          1
         1 |             4 |          1
         1 |             4 |          1
         1 |             4 |          1
         1 |             4 |          1
         1 |             5 |          1
         1 |             5 |          1
         2 |             5 |          2
         2 |             5 |          2
         2 |             5 |          2
         2 |             5 |          2
         2 |             5 |          2
    (35 rows)
  • NTH_VALUE(value any, nth integer)

    描述:NTH_VALUE函数返回该组内的第nth行作为结果。若该行不存在,则默认返回NULL。

    返回值类型:与参数数据类型相同。

    示例:

    MogDB=# SELECT d_moy, d_fy_week_seq, nth_value(d_fy_week_seq,6) OVER(PARTITION BY d_moy ORDER BY d_fy_week_seq) FROM tpcds.date_dim WHERE d_moy < 4 AND d_fy_week_seq < 6 ORDER BY 1,2;
     d_moy | d_fy_week_seq | nth_value
    -------+---------------+-----------
         1 |             1 |         1
         1 |             1 |         1
         1 |             1 |         1
         1 |             1 |         1
         1 |             1 |         1
         1 |             1 |         1
         1 |             1 |         1
         1 |             2 |         1
         1 |             2 |         1
         1 |             2 |         1
         1 |             2 |         1
         1 |             2 |         1
         1 |             2 |         1
         1 |             2 |         1
         1 |             3 |         1
         1 |             3 |         1
         1 |             3 |         1
         1 |             3 |         1
         1 |             3 |         1
         1 |             3 |         1
         1 |             3 |         1
         1 |             4 |         1
         1 |             4 |         1
         1 |             4 |         1
         1 |             4 |         1
         1 |             4 |         1
         1 |             4 |         1
         1 |             4 |         1
         1 |             5 |         1
         1 |             5 |         1
         2 |             5 |
         2 |             5 |
         2 |             5 |
         2 |             5 |
         2 |             5 |
    (35 rows)
  • ratio_to_report

    描述:计算一个值与一组值之和的比率。

    返回类型:float

    示例:

    MogDB=# SELECT last_name, salary, RATIO_TO_REPORT(salary) OVER () AS rr
       FROM employees
       WHERE job_id = 'PU_CLERK'
       ORDER BY last_name, salary, rr;
    -----------------------------------------------
    LAST_NAME                     SALARY         RR
    ------------------------- ---------- ----------
    Baida                           2900 .208633094
    Colmenares                      2500 .179856115
    Himuro                          2600  .18705036
    Khoo                            3100 .223021583
    Tobias                          2800 .201438849
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