if you filter on denserank <= 5, you’ll get 6 rows, which might not be what you want. The more ties, the more rows DENSE_RANK can return. If the tie would be on exactly row number 5, the RANK function would also return 6 rows. In that case, you need to “break the tie”....
The DENSE_RANK ranking function returns the rank of rows within the partition of a window, without any gaps in the ranking. The rank of a row is one plus the number of distinct ranks that come before the row in question. DENSE_RANK can only be used in the context of awindowing express...
Reference SQL Reference SQL Functions functions DENSE_RANKVersion: current [25.x] On this page Categories: WindowDENSE_RANKReturns the rank of the current row within its partition and ordering. Rows that are equal will have the same rank.Syntax...
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()...
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DENSE_RANKis nondeterministic. SeeDeterministic and Nondeterministic Functionsfor more information. Examples A. Ranking rows within a partition This example ranks the products in inventory, by the specified inventory locations, according to their quantities.DENSE_RANKpartitions the result set byLocationID...
Examples The distinction between DENSE_RANK(),RANK()andROW_NUMBER(): CREATETABLEstudent(courseVARCHAR(10),markint,namevarchar(10));INSERTINTOstudentVALUES('Maths',60,'Thulile'),('Maths',60,'Pritha'),('Maths',70,'Voitto'),('Maths',55,'Chun'),('Biology',60,'Bilal'),('Biology',70,...
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Note the difference in rankings assigned to the same set of rows when the DENSE_RANK and RANK functions are used side by side in the same query. For a description of the WINSALES table, seeSample table for window function examples.
Rank() and DENSE_RANK() are the functions used to rank the data. Both functions have some functionality in common and some differences are also there.