I have a stored procedure which selects columns from multiple tables.
what i want is to be able to get the number of rows with values Y and number or row if value N that are in the returned records.
Example
name availableYN
john y
gary n
mark y
I want to be able to have that result and also a count like
y 2
n 1
any guidance will be much appreciated.
Try using COUNT
SELECT
availableYN,
COUNT(availableYN) AS cnt
FROM
My_Table
GROUP BY
availableYN
Related
I am not sure if my database design is good for this tricky case and I also ask for help how the query for this could look like.
I plan a query with the following table:
search_array | value | id
-----------------------+-------+----
{XYa,YZb,WQb} | b | 1
{XYa,YZb,WQb,RSc,QZa} | a | 2
{XYc,YZa} | c | 3
{XYb} | a | 4
{RSa} | c | 5
There are 5 main elements in the search_array: XY, YZ, WQ, RS, QZ and 3 Values: a, b, c that are concardinated to each element.
Each row has also one value: a, b or c.
My aim is to find all rows that fit to a specific row in this sense: At first it should be checked if they have any same main elements in their search_arrays (yellow marked in the example).
As example:
Row id 4 an row id 5 wouldnt match because XY != RS.
Row id 1, 2 and 3 would match two times because they have all XY and YZ.
Row id 1 and 2 would even match three times because they have also WQ in common.
And second: if there is a Main Element match it should be 'crosschecked' if the lowercase letters after the Main Elements fit to the value of the other row.
As example: The only match for Row id 1 in the table would be Row id 4 because they both search for XY and the low letters after the elements match each value of the two rows.
Another match would be ROW id 2 and 5 with RS and search c to value c and search a to value a (green and orange marked).
My idea was to cut the search_array elements in the query in two parts with the RIGHT and LEFT command for strings. But I dont know how to combine the subqueries for this search.
Or would be a complete other solution faster? Like splitting the search array into another table with the columns 'foregin key' to the maintable, 'main element' and 'searched_value'. I am not sure if this is the best solution because the program would all the time switch to the main table to find two rows out of 3 million rows to compare their searched_values to the values?
Thank you very much for your answers and your time!
You'll have to represent the data in a normalized fashion. I'll do it in a WITH clause, but it would be better to store the data in this fashion to begin with.
WITH unravel AS (
SELECT t.id, t.value,
substr(u.val, 1, 2) AS arr_main,
substr(u.val, 3, 1) AS arr_val
FROM mytable AS t
CROSS JOIN LATERAL unnest(t.search_array) AS u(val)
)
SELECT a.id AS first_id,
a.value AS first_value,
b.id AS second_id,
b.value AS second_value,
a.arr_main AS main_element
FROM unravel AS a
JOIN unravel AS b
ON a.arr_main = b.arr_main
AND a.arr_val = b.value
AND b.arr_val = a.value;
I have below requirement.
Input is like as below.
Create table Numbers
(
Num int
)
Insert into Numbers
values (1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12),(13),(14),(15)
Create table FromTo
(
FromNum int
,ToNum int
)
Select * From FromTo
Output should be as below.
FromNum ToNum
1 5
6 10
11 15
Actual Requirement is as below.
I need to load the data for a column into a table which will have thousands of records with different no's.
Consider like below.
1,2,5,7,9,11,15,34,56,78,98,123,453,765 etc..
I need to load these into other table which is having FROM and TO columns with the intervals of 5000. For example in the first 5000 if i have the no's till 3000, my 1st row should have FromNo as 1 and ToNum as 3000. second row: if the data is not having till 10000 and the next no started as 12312(This is the 2nd Row FromNum) the ToNum value should be +5000 i.e 17312. Here also if we don't have the no's data till 17312 it need to consider the ToNum between the 12312 and 17312
Output should be as below.
FromNum ToNum
1 3205
1095806 1100805
1100808 1105806
1105822 1110820
Can you guys please help me with the solution for the above.
Thanks in advance.
What you may try in this situation is to group data and get the expected results:
DECLARE #interval int = 5
INSERT INTO FromTo (FromNum, ToNum)
SELECT MIN(Num) AS FromNum, MAX(Num) AS ToNum
FROM Numbers
GROUP BY (Num - 1) / #interval
Data
My data looks like this. I want to see a bar chart of the % of rows where column Y/N? contains "Y" and of those rows, the percent that % column contains a value of 7 or above, and the percent where % column contains a value below 7
Something like...
IF [C2:C19] = Y, THEN COUNTIF [B2:B19] >=7
and
IF [C2:C19] = Y, THEN COUNTIF [B2:B19] <7
Sorry if this is unclear or an obvious question!
One way to do this is to create three different measures
first countrows with filter on "Y" and similarly others - then you can bring these values on your bar chart
I'm working in SAS and I'm trying to sum all observations, leaving out one each time.
For example, if I have:
Count Name Grade
1 Sam 90
2 Adam 100
3 John 80
4 Max 60
5 Andrea 70
I want to output a value for Sam that is the sum of all grades but his own, and a value for Adam that is a sum of all grades but his own - etc.
Any ideas? Thanks!
You can do it in a single proc sql instead, using key word calculated:
data have;
input Count Name $ Grade;
datalines;
1 Sam 90
2 Adam 100
3 John 80
4 Max 60
5 Andrea 70
;;;;
run;
proc sql;
create table want as
select *, sum(grade) as all_grades, calculated all_grades-grade as minus_grade
from have;
quit;
Here's a nearly one pass solution (it will be about the same speed as a one pass solution if the dataset fits in the read buffer). I actually calculate the mean here instead of just the sum, as I feel that's a more interesting result (and the sum is of course the mean without the division).
data have;
input Count Name $ Grade;
datalines;
1 Sam 90
2 Adam 100
3 John 80
4 Max 60
5 Andrea 70
;;;;
run;
data want;
retain grademean;
if _n_=1 then do;
do _n_ = 1 to nobs_have;
set have(keep=grade) point=_n_ nobs=nobs_have;
gradesum+grade;
end;
grademean=gradesum/nobs_have;
end;
set have;
grade_noti = ((grademean*nobs_have)-grade)/(nobs_have-1);
run;
Calculate the mean, then for each record subtract the portion that record contributed to the mean. This is a super useful technique for stat testing when you want to compare a record to the rest of the population, and you have a complicated class combination where you'd rather do the mean first. In those cases you use PROC MEANS first and then merge it on, then do this subtraction.
proc sql;
create table temp as select
sum(grade) as all_grades
from orig_data;
quit;
proc sql;
create table temp2 as select
a.count,
a.name,
a.grade,
(b.all_grades-a.grade) as sum_other_grades
from orig_data a
left join temp b;
quit;
Haven't tested it but the above should work. It creates a new dataset temp that has the sum of all grades and merges that back to create a new table with the sum of all grades less the current students grade as sum_other_grades.
This solution performs takes each observation of your starting dataset, and then loops through the same dataset summing up grade values for any records with different names, so beginning with 'Sam', we only add the oth_g variable when we find names that are NOT 'Sam':
data want;
set have;
oth_g=0;
do i=1 to n;
set have
(keep=name grade rename=(name=name_loop grade=grade_loop))
nobs=n point=i;
if name^=name_loop then oth_g+grade_loop;
end;
drop grade_loop name_loop i n;
run;
This is a slight modification to the answer #Reese provided above.
proc sql;
create table want as
select *,
(select sum(grade) from have) as all_grades,
calculated all_grades - grade as minus_grade
from have;
quit;
I've rearranged it this way to avoid the below message being printed to the log:
NOTE: The query requires remerging summary statistics back with the original data.
If you see the above message, it almost always means that you have made a mistake. If you actually did mean to remerge summary stats back with the original data, you should do so explicitly (like I have done above by refactoring #reese 's query.
Personally I think the refactored version is also easier to understand.
I have a table in my database with two columns as int for example cal1 and cal2.
I make the sum from each row as in select ( cal1 + cal2) from cat as total, now I want to do the sum from all columns total if is possible.
You can do the addition in the SUM :
SELECT SUM(cal1+cal2) AS total
FROM cat
SELECT (SUM(cal1) + SUM(cal2)) AS TotalSum FROM cat
Thats to sum the values of all rows together. If you want to sum all columns up, you have to specifically write their names into the column list.
You want 2 totals in one go?
SELECT
cal1+cal2 AS PerRowTotal,
SUM(cal1+cal2) OVER () AS AllRowTotal
FROM
cat