I have a table that lists the duration of different activities. It looks like
id duration
1 15
2 30
3 30
4 45
5 30
...etc
I want to sum these activities like
for (lastActivity=1 to 5)
SELECT id, SUM(duration) FROM durations
WHERE id<=lastActivity
to produce an output like
id endtime
1 15
2 45
3 75
4 120
5 150
where each row sums the duration of the activities up to its position in the list.
It seems an easy task (and possibly is), but I can't figure out how the sql should look like to produce such an output. I have tried using GROUP BY together with the OVER clause but perhaps there's a simpler way of doing this.
SELECT t.id,
t.duration,
rt.runningTotal
FROM mytable t
CROSS apply (SELECT Sum(duration) AS runningTotal
FROM emp
WHERE id <= t.id) AS rt
ORDER BY t.id
The APPLY operator allows you to invoke a table-valued function for each row returned by an outer table expression of a query. The table-valued function acts as the right input and the outer table expression acts as the left input. The right input is evaluated for each row from the left input and the rows produced are combined for the final output. The list of columns produced by the APPLY operator is the set of columns in the left input followed by the list of columns returned by the right input.
Note : To use APPLY, the database compatibility level must be at least 90. This was introduced in sql server 2005.
you can use running total
check this post
Running total in sqlserver stackoverflow
This will degrade depending on how large your actual table is, but this should do the trick:
Some interesting reading around this can be found here
SELECT 1 as id, 15 as num into #test
UNION ALL SELECT 2, 30
UNION ALL SELECT 3, 30
UNION ALL SELECT 4, 45
UNION ALL SELECT 5, 30
select
t1.id
,MAX(t1.num) as id_num
,SUM(t2.num) as running_total
from #test t1
LEFT OUTER JOIN #test t2 on t2.id <= t1.id
GROUP BY
t1.id
Try this :
select d2.ID,sum(d1.duration)
from durations d1,durations d2
where d1.id<=d2.id
group by d2.id
Related
We have a query that works in BigQuery's Legacy SQL. How do we write it in Standard SQL so it works?
SELECT Hour, Average, L.Key AS Key FROM
(SELECT 1 AS Key, *
FROM test.table_L AS L)
LEFT JOIN
(SELECT 1 AS Key, Avg(Total) AS Average
FROM test.table_R) AS R
ON L.Key = R.Key ORDER BY Hour ASC
Currently the error it gives is:
Equality is not defined for arguments of type ARRAY<INT64> at [4:74]
BigQuery has two modes for queries: Legacy SQL and Standard SQL. We have looked at the BigQuery Standard SQL documentation and also see just one SO answer on Standard SQL joins in BigQuery - but so far, it is unclear to us what the key change needed might be.
Table_L looks like this:
Row Hour
1 A
2 B
3 C
Table_R looks like this:
Row Value
1 10
2 20
3 30
Results Desired:
Row Hour Average(OfR) Key
1 A 20 1
2 B 20 1
3 C 20 1
How do we rewrite this BigQuery Legacy SQL query to work in Standard SQL?
Based on your recent update in question and comments - try below
WITH Table_L AS (
SELECT 1 AS Row, 'A' AS Hour UNION ALL
SELECT 2 AS Row, 'B' AS Hour UNION ALL
SELECT 3 AS Row, 'C' AS Hour
),
Table_R AS (
SELECT 1 AS Row, 10 AS Value UNION ALL
SELECT 2 AS Row, 20 AS Value UNION ALL
SELECT 3 AS Row, 30 AS Value
)
SELECT
Row,
Hour,
(SELECT AVG(Value) FROM Table_R) AS AverageOfR,
1 AS Key
FROM Table_L
Above is for testing
the query you should run in "production" is
SELECT
Row,
Hour,
(SELECT AVG(Value) FROM Table_R) AS AverageOfR,
1 AS Key
FROM Table_L
In case, if for some reason you are bound to JOIN, use below CROSS JOIN version
SELECT
Row,
Hour,
AverageOfR,
1 AS Key
FROM Table_L
CROSS JOIN ((SELECT AVG(Value) AS AverageOfR FROM Table_R))
or below LEFT JOIN version with Key field involved (in case if Key really important for your logic - which somehow I feel is true)
SELECT
Row,
Hour,
AverageOfR,
L.Key AS Key
FROM (SELECT 1 AS Key, Row, Hour FROM Table_L) AS L
LEFT JOIN ((SELECT 1 AS Key, AVG(Value) AS AverageOfR FROM Table_R)) AS R
ON L.Key = R.Key
Your error message suggests that key is not a column in table_L. If no, then don't include it in the query.
It looks like you simply want the average of the total from table_R. You can approach this as:
SELECT l.*, r.average
FROM test.table_L as l CROSS JOIN
(SELECT Avg(Total) as average
FROM test.table_R
) R
ORDER BY l.hour ASC;
Can anybody tell me how to calculate the difference between the rows of the same column?
ID DeviceID Reading Date Flag
1 2 10 12/02/2015 1
2 3 08 12/02/2015 1
3 2 12 12/02/2015 1
4 2 20 12/02/2015 0
5 4 10 12/02/2015 0
6 2 19 12/02/2015 0
In ABOVE table I want to calculate the difference between the Readings for DeviceID 2 for some date say 12/02/2015 for example,
(12-10=2)
(20-12=8)
(19-2 =-1) and want to sum up this difference
i.e. 2+8+(-1)=9
If you use MS Access, I was try this code for your question:
I was made 4 query in MS Access:
Query1 to get data deviceId=2 and date=12/2/2015:
select id, reading from table1 where deviceid=2 and date=#12/2/2015#;
Then I make Query2 to get row number from query1:
select
(select count(*) from query1 where a.id>=id) as rowno,
a.reading from query1 a;
Then I make Query3 to get difference value field reading from query2:
select
(tbl2.reading-tbl1.reading) as diff
from query2 tbl1
left join query2 tbl2 on tbl1.rowno=tbl2.rowno-1
And then final query to get sum from result difference in query3:
SELECT sum(diff) as Total_Diff
FROM Query3;
But, if you use SQL Server, you can use this query (look for example sqlfiddle):
;with tbl as(
select row_number()over(order by id) as rowno,
reading
from table1
where deviceid=2 and date='20150212'
)
select sum(diff) as sum_diff
from (
select
(b.reading-a.reading) as diff
from tbl a
left join tbl b on a.rowno=b.rowno-1
) tbl_diff
You can try this (replace Table1 with your table name):
SELECT Sum([Diffs].[Difference]) AS FinalReading
FROM (
SELECT IDs.DeviceID, [Table1].Reading AS NextReading, Table1_1.Reading AS PrevReading, [Table1].Reading-Table1_1.Reading AS Difference
FROM (
(
SELECT [Table1].DeviceID,
[Table1].ID,
CLng(Nz(DMax("ID","Table1","[DeviceID] = " & [DeviceID] & " And [ID] < " & [ID]),0)) AS PrevID
FROM Table1
WHERE DeviceID = 2
) AS IDs
INNER JOIN Table1
ON IDs.ID=[Table1].ID)
INNER JOIN Table1 AS Table1_1
ON IDs.PrevID=Table1_1.ID
) AS Diffs;
The IDs table expression calculates the prev ID for the DeviceID in question. (I put the WHERE clause in this table expression, but you can move it to the outer one if you want to calc the FinalReadings for ALL devices at once, the filter it at the end. Less efficient but more flexible.) We join back to the original tables on the ID and PrevIDs from the inner table expressions, get their Reading values, and perform the difference operation in the Diffs table expression. The final outer query just sums the Difference values from each row value.
Suppose:
MyTable
--
Amount
1
2
3
4
5
MyTable only has one column, Amount, with 5 rows. They are not necessarily in increasing order.
How can I create a function, which takes a #SUM INT, and returns the TOP N rows that sum to this amount?
So for input 6, I want
Amount
1
2
3
Since 1 + 2 + 3 = 6. 2 + 4 / 1 + 5 won't work since I want TOP N ROWS
For 7/8/9/10, I want
Amount
1
2
3
4
I'm using MS SQL Server 2008 R2, if this matters.
Saying "top N rows" is indeed ambiguous when it comes to relational databases.
I assume that you want to order by "amount" ascending.
I would add a second column (to a table or view) like "sum_up_to_here", and create something like that:
create view mytable_view as
select
mt1.amount,
sum(mt2.amount) as sum_up_to_here
from
mytable mt1
left join mytable mt2 on (mt2.amount < mt1.amount)
group by mt1.amount
or:
create view mytable_view as
select
mt1.amount,
(select sum(amount) from mytable where amount < mt1.amount)
from mytable mt1
and then I would select the final rows:
select amount from mytable_view where sum_up_to_here < (some value)
If you don't bother about performance you may of course run it in one query:
select amount from
(
select
mt1.amount,
sum(mt2.amount) as sum_up_to_here
from
mytable mt1
left join mytable mt2 on (mt2.amount < mt1.amount)
group by mt1.amount
) t where sum_up_to_here < 20
One approach:
select t1.amount
from MyTable t1
left join MyTable t2 on t1.amount > t2.amount
group by t1.amount
having coalesce(sum(t2.amount),0) < 7
SQLFiddle here.
In Sql Server you can use CDEs to make it pretty simple to read.
Here is a CDE I did to sum up totals used in sequence. The CDE is similar to the joins above, and holds the total up to any given index. Outside of the CDE I join it back to the original table so I can select it along with other fields.
;with summrp as (
select m1.idx, sum(m2.QtyReq) as sumUsed
from #mrpe m1
join #mrpe m2 on m2.idx <= m1.idx
group by m1.idx
)
select RefNum, RefLineSuf, QtyReq, ProjectedDate, sumUsed from #mrpe m
join summrp on summrp.idx=m.idx
In SQL Server 2012 you can use this shortcut to get a result like Grzegorz's.
SELECT amount
FROM (
SELECT * ,
SUM(amount) OVER (ORDER BY amount ASC) AS total
from demo
) T
WHERE total <= 6
A fiddle in the hand... http://sqlfiddle.com/#!6/b8506/6
I have result of two queries like:
Result of query 1
ID Value
1 4
2 0
3 6
4 9
Result of query 2
ID Value
1 6
2 4
3 0
4 1
I want to add values column "Value" and show final result:
Result of Both queries
ID Value
1 10
2 4
3 6
4 10
plz guide me...
select id, sum(value) as value
from (
select id, value from query1
uninon all
select id, value from query2
) x
group by id
Try using a JOIN:
SELECT
T1.ID,
T1.Value + T2.Value AS Value
FROM (...query1...) AS T1
JOIN (...query2...) AS T2
ON T1.Id = T2.Id
You may also need to consider what should happen if there is an Id present in one result but not in the other. The current query will omit it from the results. You may want to investigate OUTER JOIN as an alternative.
A not particularly nice but fairly easy to comprehend way would be:
SELECT ID,SUM(Value) FROM
(
(SELECT IDColumn AS ID,ValueColumn AS Value FROM TableA) t1
OUTER JOIN
(SELECT IDColumn AS ID,ValueColumn AS Value FROM TableB) t2
) a GROUP BY a.ID
It has the benefits of
a) I don't know your actual table structure so you should be able to work out how to get the two 'SELECT's working from your original queries
b) If ID doesn't appear in either table, that's fine
Here for part ‘CF061W’ finum is 25, I will select records whose fparinum value is 25 now I will get these parts FA061W, HRD20600 and SD1201. Now again I will select records whose fparinum value is finumber of above retrieved parts FA061W, HRD20600 and SD1201 and so on. This should continue till the highest level (flevel), for the above table it is up to level 4.
Now I want single sql query that will retrieve all the records for the parent part ‘CF061W’.
Thanks in advance
Pradeep
this wil work for you
WITH TAB_CTE AS (
SELECT finum, part, fparinum, flevel
FROM TABTEST
WHERE PART='CF061W'
UNION ALL
SELECT e.finum, e.part, e.fparinum, e.flevel
FROM TABTEST e
INNER JOIN TAB_CTE ecte ON ecte.finum = e.fparinum
)
SELECT *
FROM TAB_CTE
OUTPUT
finum part fparinum flevel
25 CF061W 0 1
26 FA061w 25 2
27 hrd20600 25 2
35 sd1201 25 2
28 f1024 27 3
I might have the join condition columns: INNER JOIN PartHierarchy ph ON n.finum = ph.fparinum the wrong way round (not familiar with your schema).
WITH PartHierarchy (finum, part, fparinum , dsono, flevel) AS
(
-- Base case
SELECT
finum,
part,
fparinum,
dsono,
1 as flevel
FROM myTablename
WHERE fparinum = 0
UNION ALL
-- Recursive step
SELECT
n.finum,
n.part,
n.fparinum,
n.dsono,
ph.flevel + 1 AS flevel
FROM myTablename n
INNER JOIN PartHierarchy ph ON n.finum = ph.fparinum
)
SELECT *
FROM PartHierarchy
ORDER BY flevel
This is a classic recursive CTE (Common Table Expression)
This is almost a textbook example of when to use a Recursive CTE.
There are plenty of articles detailing what to do. eg. this one on MSDN:
http://msdn.microsoft.com/en-us/library/ms186243.aspx