I have a SQL table containing a column of list of int, like this
Index Column to sum
1 1:5:13:3:6:7:11:2:4:1:2:5
2 1:7:2:1:1
3 19:05:05
4 2:1:1:5:1:4:64:177:86:75:2:83:2:57:1
5 43
6 1:1:1:3:10:6:1
7 2:11:4:3:1
8 1:5:2:3:34:2:2
9 4:3:1:2
10 4:1:1:4
I would like to calcul in SQL the sum for each row of the Column to sum value.
It would give something like this:
1 60
2 12
...
10 10
Any idea?
Thanks
Your first effort should go into fixing your data model, as commented by Gordon Linoff. The numbers should be stored in a separate table, with each value on a separate row.
In Postgres, you can split the values to rows using regexp_split_to_table(), then aggregate:
select t.id, sum(x.val::int) result
from mytable t
cross join lateral regexp_split_to_table(t.column_to_sum, ':') as x(val)
group by t.id
Related
I am using influxDB and I would like to extract some values which is greater than certain threshold in other table.
For example, I have two tables as shown in below.
Table A
Time value
1 15
2 25
3 9
4 22
Table B
Time threshold
1 16
2 12
3 13
4 15
Give above two tables, I would like to extract three values which is greater than first row in Table B. Therefore what I want to have is as below.
Time value
2 25
4 22
I tried it using below sql query, but it didn't give any correct result.
select * from data1 where value > (select spec from spec1 limit1);
Look forward to your feedback.
Thanks.
Integrate the condition in an inner join:
select * from tableA as a
inner join tableB as b on a.id=b.id and a.value > b.threshold
When your time column doesn't only include integer values, you have to format the time and join on a time range. Here is an example:
SQL join on time range
I want to sum rows in select from value to value.
for example:
table T:
value: type:
1 5
2 10
2 8
3 10
3 2
I want to sum the values from the last type 10 (the last two "3" values)
do you have an idea how to do it?
thanks in advance!
Select value,sum(type) as SumofType
From T
Group by value
I think you want this SQL.
Select value,sum(type) as Sum_Type
From Ta where value=3
Group by value
This is how my query results look like currently. How can I get the MAX() value for each unique id ?
IE,
for 5267139 is 8.
for 5267145 is 4
5267136 5
5267137 8
5267137 2
5267139 8
5267139 5
5267139 3
5267141 4
5267141 3
5267145 4
5267145 3
5267146 1
5267147 2
5267152 3
5267153 3
5267155 8
SELECT DISTINCT st.ScoreID, st.ScoreTrackingTypeID
FROM ScoreTrackingType stt
LEFT JOIN ScoreTracking st
ON stt.ScoreTrackingTypeID = st.ScoreTrackingTypeID
ORDER BY st.ScoreID, st.ScoreTrackingTypeID DESC
GROUP BY will partition your table into separate blocks based on the column(s) you specify. You can then apply an aggregate function (MAX in this case) against each of the blocks -- this behavior applies by default with the below syntax:
SELECT First_column, MAX(Second_column) AS Max_second_column
FROM Table
GROUP BY First_column
EDIT: Based on the query above, it looks like you don't really need the ScoreTrackingType table at all, but leaving it in place, you could use:
SELECT st.ScoreID, MAX(st.ScoreTrackingTypeID) AS ScoreTrackingTypeID
FROM ScoreTrackingType stt
LEFT JOIN ScoreTracking st ON stt.ScoreTrackingTypeID = st.ScoreTrackingTypeID
GROUP BY st.ScoreID
ORDER BY st.ScoreID
The GROUP BY will obviate the need for DISTINCT, MAX will give you the value you are looking for, and the ORDER BY will still apply, but since there will only be a single ScoreTrackingTypeID value for each ScoreID you can pull it out of the ordering.
Here is a sample of my data (n>3000) that ties two numbers together:
id a b
1 7028344 7181310
2 7030342 7030344
3 7030354 7030353
4 7030343 7030345
5 7030344 7030342
6 7030364 7008059
7 7030659 7066051
8 7030345 7030343
9 7031815 7045692
10 7032644 7102337
Now, the problem is that id=2 is a duplicate of id=5 and id=4 is a duplicate of id=8. So, when I tried to write if-then statements to map column a to column b, basically the numbers just get swapped. There are many cases like this in my full data.
So, my question is to identify the duplicate(s) and somehow delete one of the duplicates (either id=2 or id=5). And I preferably want to do this in Excel but I could work with SQL Server or SAS, too.
Thank you in advance. Please comment if my question is not clear.
What I want:
id a b
1 7028344 7181310
2 7030342 7030344
3 7030354 7030353
4 7030343 7030345
6 7030364 7008059
7 7030659 7066051
9 7031815 7045692
10 7032644 7102337
All sorts of ways to do this.
In SAS or SQL, this is simple (for SQL Server, the SQL portion should be identical or nearly so):
data have;
input id a b;
datalines;
1 7028344 7181310
2 7030342 7030344
3 7030354 7030353
4 7030343 7030345
5 7030344 7030342
6 7030364 7008059
7 7030659 7066051
8 7030345 7030343
9 7031815 7045692
10 7032644 7102337
;;;;
run;
proc sql undopolicy=none;
delete from have H where exists (
select 1 from have V where V.id < H.id
and (V.a=H.a and V.b=H.b) or (V.a=H.b and V.b=H.a)
);
quit;
The excel solution would require creating an additional column I believe with the concatenation of the two strings, in order (any order will do) and then a lookup to see if that is the first row with that value or not. I don't think you can do it without creating an additional column (or using VBA, which if you can use that will have a fairly simple solution as well).
Edit:
Actually, the excel solution IS possible without creating a new column (well, you need to put this formula somewhere, but without ANOTHER additional column).
=IF(OR(AND(COUNTIF(B$1:B1,B2),COUNTIF(C$1:C1,C2)),AND(COUNTIF(B$1:B1,C2),COUNTIF(C$1:C1,B2))),"DUPLICATE","")
Assuming ID is in A, B and C contain the values (and there is no header row). That formula goes in the second row (ie, B2/C2 values) and then is extended to further rows (so row 36 will have the arrays be B1:B35 and C1:C35 etc.). That puts DUPLICATE in the rows which are duplicates of something above and blank in rows that are unique.
I haven't tested this out but here is some food for thought, you could join the table against itself and get the ID's that have duplicates
SELECT
id, a, b
FROM
[myTable]
INNER JOIN ( SELECT id, a, b FROM [myTable] ) tbl2
ON [myTable].a = [tbl2].b
OR [myTable].b = tbl2.a
I am a long time fan of Stack Overflow but I've come across a problem that I haven't found addressed yet and need some expert help.
I have a query that is sorted chronologically with a date-time compound key (unique, never deleted) and several pieces of data. What I want to know is if there is a way to find the start (or end) of a region where a value changes? I.E.
DateTime someVal1 someVal2 someVal3 target
1 3 4 A
1 2 4 A
1 3 4 A
1 2 4 B
1 2 5 B
1 2 5 A
and my query returns rows 1, 4 and 6. It finds the change in col 5 from A to B and then from B back to A? I have tried the find duplicates method and using min and max in the totals property however it gives me the first and last overall instead of the local max and min? Any similar problems?
I didn't see any purpose for the someVal1, someVal2, and someVal3 fields, so I left them out. I used an autonumber as the primary key instead of your date/time field; but this approach should also work with your date/time primary key. This is the data in my version of your table.
pkey_field target
1 A
2 A
3 A
4 B
5 B
6 A
I used a correlated subquery to find the previous pkey_field value for each row.
SELECT
m.pkey_field,
m.target,
(SELECT Max(pkey_field)
FROM YourTable
WHERE pkey_field < m.pkey_field)
AS prev_pkey_field
FROM YourTable AS m;
Then put that in a subquery which I joined to another copy of the base table.
SELECT
sub.pkey_field,
sub.target,
sub.prev_pkey_field,
prev.target AS prev_target
FROM
(SELECT
m.pkey_field,
m.target,
(SELECT Max(pkey_field)
FROM YourTable
WHERE pkey_field < m.pkey_field)
AS prev_pkey_field
FROM YourTable AS m) AS sub
LEFT JOIN YourTable AS prev
ON sub.prev_pkey_field = prev.pkey_field
WHERE
sub.prev_pkey_field Is Null
OR prev.target <> sub.target;
This is the output from that final query.
pkey_field target prev_pkey_field prev_target
1 A
4 B 3 A
6 A 5 B
Here is a first attempt,
SELECT t1.Row, t1.target
FROM t1 WHERE (((t1.target)<>NZ((SELECT TOP 1 t2.target FROM t1 AS t2 WHERE t2.DateTimeId<t1.DateTimeId ORDER BY t2.DateTimeId DESC),"X")));