## SQL query to count rows based on previous values of different column

I'm working in SAS and I have a table that looks like this

ID | Time | Main | lag_1 | lag_2 ---------------------------------------------------------------------------- A | 01 | 0 | 0 | 1 A | 03 | 0 | 0 | 1 A | 04 | 0 | 0 | 0 A | 10 | 1 | 0 | 0 A | 11 | 1 | 0 | 0 A | 12 | 1 | 0 | 0 B | 02 | 1 | 1 | 1 B | 04 | 0 | 1 | 1 B | 07 | 0 | 0 | 1 B | 10 | 1 | 0 | 0 B | 11 | 1 | 0 | 0 B | 12 | 1 | 0 | 0

except with multiple IDs. The table is sorted by ID and Time. After calculating the total count of ones in the Main column (call it *tot*), I am trying to calculate 2 things:

- The total count of ones in the Main column only if lag_1 has been equal to 1 at some time
**before**Main became 1, say*tot_1*; and - The same as 1. but in this case for lag_2, call the variable
*tot_2*

The table of expected calculations would give me that

tot | tot_1 | tot_2 -------------------- 7 | 3 | 6

since *tot_1* should be 3 (0 from ID = A + 3 from ID = B), and *tot_2* should be 6 (3 from ID = A + 3 from ID = B).

I am a complete beginner in these types of segmentations so any help is greatly appreciated.

Edit: I would expect that tot_2 >= tot_1 because lag_2 is built on events from Main which go longer back in time than lag_1 does.

Much easier to do in a data step. That way you can check for start of new id and reset the flag for whether the lag_x variables were ever true.

data want ; set have end=eof; by id time ; tot + main ; if first.id then call missing(any_lag_1,any_lag_2); if any_lag_1 then tot_1 + main ; if any_lag_2 then tot_2 + main ; if eof then output; any_lag_1+lag_1; any_lag_2+lag_2; keep tot: ; run;

**SQL Server LAG() Function By Practical Examples,** How do I count the same values in a column in SQL? The total count of ones in the Main column only if lag_1 has been equal to 1 at some time before Main became 1, say tot_1; and The same as 1. but in this case for lag_2, call the variable tot_2 The table of expected calculations would give me that

If I understand correctly, you want these sums per id. The key is comparing the minimum value of the id under different circumstances, and then doing the sums. This is all conditional aggregation:

select sum(tot) as tot, sum(case when id_lag_1 < id_main then tot else 0 end) as tot_1, sum(case when id_lag_2 < id_main then tot else 0 end) as tot_2 from (select id, sum(main) as tot, min(case when main = 1 then id end) as id_main, min(case when lag_1 = 1 then id end) as id_lag_1, min(case when lag_2 = 1 then id end) as id_lag_2 from t group by id ) t;

**Does COUNT() include duplicate values of a column?,** SQL SELECT DISTINCT Statement. SELECT DISTINCT returns only distinct (different) values. SELECT DISTINCT eliminates duplicate records from the results. The problem is that SQL queries perform operations on a row-by-row basis; accessing data on different rows at the same time requires the query to do some extra work. In SQL Server versions prior to 2012, you need to perform a join using a row enumerator to match up rows with previous or next rows.

Consider the computation for tot_1 and tot_2

My first step is to look for a pattern where lag_1 > main (This fulfills the case you mentioned that,ie find records where lag_1=1 sometime before main=1) and i name all such values as 'grp_lag_1' and 'grp_lag_2'

Once i have grouped the records, i "copy" down the values using max() over(order by id,time1).

select * ,max(case when lag_1 > main then 'grp_lag_1' end) over(partition by id order by id,time1) as grp_1 ,max(case when lag_2 > main then 'grp_lag_2' end) over(partition by id order by id,time1) as grp_2 from t

So i get a result as follows

+----+-------+------+-------+-------+-----------+-----------+ | id | time1 | main | lag_1 | lag_2 | grp_1 | grp_2 | +----+-------+------+-------+-------+-----------+-----------+ | A | 01 | 0 | 0 | 1 | | grp_lag_2 | | A | 03 | 0 | 0 | 1 | | grp_lag_2 | | A | 04 | 0 | 0 | 0 | | grp_lag_2 | | A | 10 | 1 | 0 | 0 | | grp_lag_2 | | A | 11 | 1 | 0 | 0 | | grp_lag_2 | | A | 12 | 1 | 0 | 0 | | grp_lag_2 | | B | 02 | 1 | 1 | 1 | | | | B | 04 | 0 | 1 | 1 | grp_lag_1 | grp_lag_2 | | B | 07 | 0 | 0 | 1 | grp_lag_1 | grp_lag_2 | | B | 10 | 1 | 0 | 0 | grp_lag_1 | grp_lag_2 | | B | 11 | 1 | 0 | 0 | grp_lag_1 | grp_lag_2 | | B | 12 | 1 | 0 | 0 | grp_lag_1 | grp_lag_2 | +----+-------+------+-------+-------+-----------+-----------+

After this if i were to sumup the main values for grp_lag_1 i would get tot_1 and likewise summing up grp+lag_2 i would get tot_2

select sum(main) as tot_cnt ,sum(case when grp_1='grp_lag_1' then main end) as tot_1 ,sum(case when grp_2='grp_lag_2' then main end) as tot_2 from( select * ,max(case when lag_1 > main then 'grp_lag_1' end) over(partition by id order by id,time1) as grp_1 ,max(case when lag_2 > main then 'grp_lag_2' end) over(partition by id order by id,time1) as grp_2 from t )x +---------+-------+-------+ | tot_cnt | tot_1 | tot_2 | +---------+-------+-------+ | 7 | 3 | 6 | +---------+-------+-------+

Demo https://dbfiddle.uk/?rdbms=sqlserver_2012&fiddle=c17be111dbc3c516afa2bc3dcd3c9e1c

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