Ok so this gets me the count of how many Records of type A are blank in column B
SELECT A, Count(B)
FROM `table1`
where
B = ""
group by A
it gives me a table
A
B
First
564
Second
1985
And that is great. But I want this to summarize by counting blanks in multiple columns, not just blanks in column B, like this:
A
B
C
First
564
9001
Second
1985
223
I have an intuition that this is done by creating another table first that would look like this
A
Column
Value
First
"B"
B value
First
"C"
C value
Second
"B"
B value
Second
"C"
C value
for every document, so you can count blanks, but I'm not sure how to get there. Is this the right approach? or is there a much simpler version using pivot tables or similar?
You could try using a conditional sum,
select A,
Sum(case when b='' then 1 end) B,
Sum(case when c='' then 1 end) C
from t
group by A
Related
Assuming I have the right naming, what O am trying to write is a function or stored procedure to compare names and find out if they are the same value.
I think its called fuzzy matching
For example, a table has 2 columns and table b has 3 columns:
Name
Number
Hello
24
Evening
56
Name
Num
F
Heello
23
some value
GoodEvening
15
some value
I want table like
A
D
Hello
Heello
Morning
GoodMorning
Currently, I'm using
Select A.Name, B.Name
from table A
left table B
on A.Name like B.Name
or (LTRIM(RTRIM(REPLACE(REPLACE(REPLACE( A.Name,' ',''),'-',''),'''',''))) = LTRIM(RTRIM(REPLACE(REPLACE(REPLACE(B.Name,' ',''),'-',''),'''',''))))
OR (A.Name LIKE '%'+B.Name+'%')
OR (B.Name LIKE '%'+A.Name+'%')
It is giving me a result, but not too accurate and is very slow, any other way I could try to compare these values?
Let's say I have a table with 2 columns - A & B.
Using plain SQL (No scripts/cursors etc.), how do I (window function?) calculate for EACH value in column A the number of values in column B that are bigger/smaller than it?
Thanks you.
You would use conditional aggregation:
select a,
sum(case when b < a then 1 else 0 end)
from t
group by a;
Window functions don't seem appropriate to this question.
I need some advice in google query language.
I want to count rows depending on date and a condition. But if the condition is not met, it should return 0.
What I'm trying to achieve:
Date Starts
05.09.2018 0
06.09.2018 3
07.09.2018 0
What I get:
Date Starts
06.09.2018 3
The query looks like =Query(Test!$A2:P; "select P, count(B) where (B contains 'starts') group by P label count(B) 'Starts'")
P contains ascending datevalues and B an event (like start in this case).
How can I force output a 0 for the dates with no entry containing "start"?
The main point is to get all needed data in one table in ascending order. But this is only working, if every day has an entry. If there is no entry for a day, the results for "start" do not match the datevalue in column A. 3 in column D would be in the first row of the table then.
I need it like this:
A B C D
Date Logins Sessions Starts
05.09.2018 1 2 0
06.09.2018 3 4 3
07.09.2018 4 5 0
Maybe this is easy to fix, but I don't see it.
Thanks in advance!
You can do some pre-processing before the query. Ex: check if column B contains 'start' with regexmatch and use a double unary (--) to force the boolean values into 1's and 0's. The use query to sum.
=Query(Arrayformula({--regexmatch(Test!$B2:B; "start")\ Test!$A2:P}); "select Col17, sum(Col1) where Col17 is not null group by Col17 label sum(Col1) 'Starts'")
Change ranges to suit.
I have an interesting requirement - I need to use the value of the first cell in a row to determine the value of the fourth cell in a row. Normally this would be handled at the application level or within a function, but I'm stuck doing it in a normal select query.
Here are the details.
1) I have a simple query (select A, B, C from D) returns the following correctly
1 | 2 | 3
2) I have a function that leverages the values returned in the first query and returns a value
select function_x('1') from dual
accurately returns 'Z'
I want to concatenate all of them so I get the following:
1 | 2 | 3 | Z
I tried something like this query but it doesnt work:
select A, B, C, (select function_x(A) from dual)
from D
It works when I hard code a value into the function, but doesn't work when I try to leverage the first returned value.
Are there any solutions available without me creating a function?
select A, B, C, function_x(A) from D
I figured it out, I had to use a subquery:
select A, B, C, function_x(A) from (select A, B, C from D)
I have a query stored in MS Access which is doing a standard select from an Access table. I would like to add a summary row at the end showing sums for some of the data above.
I have looked at DSum() but it isn't suitable as I would have to include the running total on each row as opposed to just the end.
Also, note that I don't want to sum data in column a - I would like to get an empty field for the summary of column a.
Example:
a | b | c
-------------
0 | 1 | 2
1 | 1 | 9
| 2 | 11 <-- Sums data above
Does anyone know how this problem can be solved in Access? An alternative might be to define a second query which does the aggregation and then merge it with the recordset of the first one, but this doesn't seem particularly elegant to me.
In SQL server it is apparently possible to use "COMPUTE" or "ROLLUP" but these are not supported under MS Access.
You can use a union query:
SELECT "" As Sort, a,b,c FROM Table
UNION ALL
SELECT "Total" As Sort, Sum(a) As A, Sum(b) As b, Sum(c) As C FROM Table
ORDER BY Sort
EDIT:
SELECT "" As Sort, a,b,c FROM Table
UNION ALL
SELECT "Total" As Sort, "" As A, Sum(b) As b, Sum(c) As C FROM Table
ORDER BY Sort