If the date, item, and category are the same in the table, I’d like to treat it as the same row and return n rows out of them(ex: if n is 3, then limit 0, 3). expected results (if n is 3) The problem is that I have to bring the values of each group as well. If I have
Tag: rank
Snowflake SQL rows with minimum and maximum values for each partition
I need to find the maximum and minimum values for a summed column over table partitions. The inner query is: and this will produce a table like below. SS_STORE_SK D_YEAR D_MOY TOTAL_SALES rank 182 1999 12 60836090 1 182 1998 11 60792623 2 182 2001 10 60615582 3 182 2000 9 60459371 4 18 1998 12 232323 1 18 2001
Rank based on cumulative value
I want to rank on ID and value columns based on ascending order of UID. Expected output has to change once value column has a different value than the previous value. Ranks has to restart on each new ID Here is a sample dataset that I have created: Answer I think that the simplest approach to this gaps-and-islands problem is
Transpose Rows to Columns Dynamically in MySQL – Page Rank Per User
I have the following data frame. I want to create a new table with the 4 most viewed pages per user (page and number of times viewed). So, I need to transpose the following columns: page, quantity and rank. Note that the variable to order is the rank and not necessarily all the names were in all the pages. Necessarily
How to select a row for certain (or give preference in the selection) in mysql?
Need your help guys in forming a query. Example. Company – Car Rental Table – Cars Now, how do I select only one entry from this table which satisfies the below conditions? If Mercedes is available in Showroom, then fetch only that row. (i.e. row 1 in above example) But If none of the Mercedes are available in the showroom,