What s the difference between RANK and DENSE RANK functions in oracle

Question

What s the difference between RANK   and DENSE RANK   functions  How to find out nth salary in the following emptbl table   DEPTNO  EMPNAME    SAL ------------------------------ 10       rrr    10000 00 11       nnn    20000 00 11       mmm    5000 00 12       kkk    30000 00 10       fff    40000 00 10       ddd    40000 00 10       bbb    50000 00 10       ccc    50000 00   If in the table data having nulls  what will happen if I want to find out nth salary

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rank     It is used to rank a record within a group of rows   dense rank     The DENSE RANK function acts like the RANK function except that it assigns consecutive ranks   Query -  select      ENAME SAL RANK   over  order by SAL  RANK from      EMP    Output -   -------- ------ ------    ENAME    SAL    RANK    -------- ------ ------    SMITH     800      1     JAMES     950      2     ADAMS    1100      3     MARTIN   1250      4     WARD     1250      4     TURNER   1500      6    -------- ------ ------    Query -   select      ENAME SAL dense rank   over  order by SAL  DEN RANK from      EMP    Output -   -------- ------ -----------    ENAME    SAL     DEN RANK    -------- ------ -----------    SMITH     800           1     JAMES     950           2     ADAMS    1100           3     MARTIN   1250           4     WARD     1250           4     TURNER   1500           5    -------- ------ -----------

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Rank   SQL function generates rank of the data within ordered set of values but next rank after previous rank is row number of that particular row  On the other hand  Dense Rank   SQL function generates next number instead of generating row number  Below is the SQL example which will clarify the concept   Select ROW NUMBER   over  order by Salary  as RowNum  Salary   RANK   over  order by Salary  as Rnk   DENSE RANK   over  order by Salary  as DenseRnk from   Select 1000 as Salary union all Select 1000 as Salary union all Select 1000 as Salary union all Select 2000 as Salary union all Select 3000 as Salary union all Select 3000 as Salary union all Select 8000 as Salary union all Select 9000 as Salary  A   It will generate following output   ---------------------------- RowNum  Salary  Rnk DenseRnk ---------------------------- 1       1000    1   1 2       1000    1   1 3       1000    1   1 4       2000    4   2 5       3000    5   3 6       3000    5   3 7       8000    7   4 8       9000    8   5

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RANK gives you the ranking within your ordered partition  Ties are assigned the same rank  with the next ranking s  skipped  So  if you have 3 items at rank 2  the next rank listed would be ranked 5   DENSE RANK again gives you the ranking within your ordered partition  but the ranks are consecutive  No ranks are skipped if there are ranks with multiple items   As for nulls  it depends on the ORDER BY clause  Here is a simple test script you can play with to see what happens   with q as   select 10 deptno   rrr  empname  10000 00 sal from dual union all select 11   nnn   20000 00 from dual union all select 11   mmm   5000 00 from dual union all select 12   kkk   30000 from dual union all select 10   fff   40000 from dual union all select 10   ddd   40000 from dual union all select 10   bbb   50000 from dual union all select 10   xxx   null from dual union all select 10   ccc   50000 from dual  select empname  deptno  sal        rank   over  partition by deptno order by sal nulls first  r        dense rank   over  partition by deptno order by sal nulls first  dr1        dense rank   over  partition by deptno order by sal nulls last  dr2  from q    EMP     DEPTNO        SAL          R        DR1        DR2 --- ---------- ---------- ---------- ---------- ---------- xxx         10                     1          1          4 rrr         10      10000          2          2          1 fff         10      40000          3          3          2 ddd         10      40000          3          3          2 ccc         10      50000          5          4          3 bbb         10      50000          5          4          3 mmm         11       5000          1          1          1 nnn         11      20000          2          2          2 kkk         12      30000          1          1          1  9 rows selected    Here s a link to a good explanation and some examples

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The only difference between the RANK   and DENSE RANK   functions is in cases where there is a    tie     i e   in cases where multiple values in a set have the same ranking  In such cases  RANK   will assign non-consecutive    ranks    to the values in the set  resulting in gaps between the integer ranking values when there is a tie   whereas DENSE RANK   will assign consecutive ranks to the values in the set  so there will be no gaps between the integer ranking values in the case of a tie   For example  consider the set  30  30  50  75  75  100   For such a set  RANK   will return  1  1  3  4  4  6   note that the values 2 and 5 are skipped   whereas DENSE RANK   will return  1 1 2 3 3 4

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The only difference between the RANK   and DENSE RANK   functions is in cases where there is a    tie     i e   in cases where multiple values in a set have the same ranking  In such cases  RANK   will assign non-consecutive    ranks    to the values in the set  resulting in gaps between the integer ranking values when there is a tie   whereas DENSE RANK   will assign consecutive ranks to the values in the set  so there will be no gaps between the integer ranking values in the case of a tie    For example  consider the set  25  25  50  75  75  100   For such a set  RANK   will return  1  1  3  4  4  6   note that the values 2 and 5 are skipped   whereas DENSE RANK   will return  1 1 2 3 3 4

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Rank and Dense rank gives the rank in the partitioned dataset   Rank     It doesn t give you consecutive integer numbers   Dense rank     It gives you consecutive integer numbers     In above picture   the rank of 10008 zip is 2 by dense rank   function and 24 by rank   function as it considers the row number

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Rank    Dense rank    row number   These all are window functions that means they act as window over some ordered input set at first  These windows have different functionality attached to it based on the requirement  Heres the above 3    row number    Starting by row number   as this forms the basis of these related window functions  row number   as the name suggests gives a unique number to the set of rows over which its been applied  Similar to giving a serial number to each row    Rank    A subversion of row number   can be said as rank    Rank   is used to give same serial number to those ordered set rows which are duplicates but it still keeps the count mantained as similar to a row number   for all those after duplicates rank   meaning as from below eg  For data 2 row number    rank   meaning both just differs in the form of duplicates    Data row number   rank   dense rank        1         1                    1       1     1         2                    1       1     1         3                    1       1     2         4                    4       2   Finally    Dense rank   is an extended version of rank   as the name suggests its dense because as you can see from the above example rank     dense rank   for all data 1 but just that for data 2 it differs in the form that it mantains the order of rank   from previous rank   not the actual data

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SELECT empno         deptno         sal         RANK   OVER  PARTITION BY deptno ORDER BY sal   rank  FROM   emp        EMPNO     DEPTNO        SAL       rank ---------- ---------- ---------- ----------       7934         10       1300          1       7782         10       2450          2       7839         10       5000          3       7369         20        800          1       7876         20       1100          2       7566         20       2975          3       7788         20       3000          4       7902         20       3000          4       7900         30        950          1       7654         30       1250          2       7521         30       1250          2       7844         30       1500          4       7499         30       1600          5       7698         30       2850          6   SELECT empno         deptno         sal         DENSE RANK   OVER  PARTITION BY deptno ORDER BY sal   rank  FROM   emp        EMPNO     DEPTNO        SAL       rank ---------- ---------- ---------- ----------       7934         10       1300          1       7782         10       2450          2       7839         10       5000          3       7369         20        800          1       7876         20       1100          2       7566         20       2975          3       7788         20       3000          4       7902         20       3000          4       7900         30        950          1       7654         30       1250          2       7521         30       1250          2       7844         30       1500          3       7499         30       1600          4       7698         30       2850          5

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This article here nicely explains it  Essentially  you can look at it as such   CREATE TABLE t AS SELECT  a  v FROM dual UNION ALL SELECT  a    FROM dual UNION ALL SELECT  a    FROM dual UNION ALL SELECT  b    FROM dual UNION ALL SELECT  c    FROM dual UNION ALL SELECT  c    FROM dual UNION ALL SELECT  d    FROM dual UNION ALL SELECT  e    FROM dual   SELECT   v    ROW NUMBER   OVER  ORDER BY v  row number    RANK         OVER  ORDER BY v  rank    DENSE RANK   OVER  ORDER BY v  dense rank FROM t ORDER BY v    The above will yield    --- ------------ ------ ------------    V   ROW NUMBER   RANK   DENSE RANK    --- ------------ ------ ------------    a            1      1            1     a            2      1            1     a            3      1            1     b            4      4            2     c            5      5            3     c            6      5            3     d            7      7            4     e            8      8            5    --- ------------ ------ ------------    In words   ROW NUMBER   attributes a unique value to each row RANK   attributes the same row number to the same value  leaving  holes  DENSE RANK   attributes the same row number to the same value  leaving no  holes

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select empno         salary         row number   over order by salary desc  as Serial         Rank   over order by salary desc  as rank         dense rank   over order by salary desc  as denseRank from emp     Row number   -  Used for generating serial number  Dense rank   will give continuous rank but rank will skip rank in case of clash of rank

[sql] What's the difference between RANK() and DENSE_RANK() functions in oracle?

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