I'm getting an error "cannot nest aggregate operations" when trying running script below. I searched other questions with similar titles but they do not address this.
I'm trying to sum data from a period, sum other data from the same period and subtract one from the other. Seems so simple in my head! Can someone help?
SELECT
SUM(CASE WHEN a.post_ts(DATE) between 1140921 and 1140927 THEN (pnt_amt(DEC (16,0)))
- sum ((dlr_val*1000)*-1)END) Week 34
FROM DB.T1 b
,DB.T2 a
LEFT JOIN DB.T3 c ON A.OID = C.OID
WHERE a.lid = b.lid
or this:
Sel
SUM(CASE WHEN a.post_ts(DATE) between 1140921 and 1140927 THEN (pnt_amt(DEC (16,0)))
- SUM(CASE WHEN a.post_ts(DATE) between 1140921 and 1140927 THEN sum ((dlr_val*1000)*-1)END)week_34
FROM DB.T1 b
,DB.T2 a
LEFT JOIN DB.T3 c ON A.OID = C.OID
WHERE a.lid = b.lid
I don't know exactly what you're trying to do, but it's probably like this:
SELECT
SUM(CASE WHEN a.post_ts(DATE) BETWEEN 1140921 AND 1140927 THEN (pnt_amt(DEC (16,0))) END
- SUM((dlr_val*1000)*-1)) Week 34
FROM DB.T1 b
,DB.T2 a
LEFT JOIN DB.T3 c ON A.OID = C.OID
WHERE a.lid = b.lid
or
SEL
SUM(CASE WHEN a.post_ts(DATE) BETWEEN 1140921 AND 1140927 THEN (pnt_amt(DEC (16,0))) END)
- SUM(CASE WHEN a.post_ts(DATE) BETWEEN 1140202 AND 1140208 THEN (dlr_val*1000)*-1 END)week_34
FROM DB.T1 b
,DB.T2 a
LEFT JOIN DB.T3 c ON A.OID = C.OID
WHERE a.lid = b.lid
Btw, instead of dlr_val*1000)*-1 you can simply use -dlr_val*1000) and you better switch to DATE '2014-02-02' instead of 1140202, it's much easier to understand.
Related
SQLITE3
Task: get a data set that contains the following data - SEE NOTES BESIDE COLUMNS
SELECT DISTINCT DateTime(Rounded, 'unixepoch') AS RoundedDate, -- Rounded DateTime to the floor hour
Count() AS Count, -- Count of items that registered within the above time
CAST (avg(Speed) AS INT) AS AverageSpeed, -- Average table.Speed column data within the defined datetime
Count() AS SpeederCount -- ?? WTF? [pseudo constraints: if Speed > Speedlimit then +1]
FROM RawSpeedLane AS sl
INNER JOIN
SpeedLaneSearchData AS slsd ON slsd.ParentId = sl.Id
INNER JOIN
Projects AS p ON p.ProjectId = sl.ProjectId
WHERE sl.ProjectId = 72
GROUP BY RoundedDate;
The SQL above is currently gives me all the data I need, EXECPT for the last column.
This last column is supposed to be the count of records where that pass specific criteria. The only way I have found to successfully do this is to build a sub query... Cool? okay, but the problem is the sub query takes 4 minutes to run because well... I suck at SQL :P No matter how many different ways I've tried to write it, it still takes forever.
Here is the long, but working version.
SELECT DISTINCT RoundedDate,
Count() AS Count,
CAST (avg(Speed) AS INT) AS AverageSpeed,
(
SELECT count()
FROM RawSpeedLane AS slr
WHERE slr.ProjectId = 72 AND
datetime( ( (strftime('%s', Start) - (strftime('%M', Start) * 60 + strftime('%S', Start) ) ) ), 'unixepoch') = sl.RoundedDate AND
Speed > p.SpeedLimit
)
AS SpeederCount
FROM SpeedLaneReportDataView AS sl
INNER JOIN
Projects AS p ON p.ProjectId = sl.ProjectId
WHERE sl.ProjectId = 72
GROUP BY RoundedDate;
I currently just tried this for the last column
(select Count() where sl.Speed > p.SpeedLimit)
but as expected, i got 1s and 0s im not really sure on what to do here. Any hints or help that lead me in the right direction is very much appreciated.
I don't think SQLite has an IIF but CASE works.
This is a response to Backs answer, but I can't comment yet.
SELECT DISTINCT DateTime(Rounded, 'unixepoch') AS RoundedDate, -- Rounded DateTime to the floor hour
Count() AS Count, -- Count of items that registered within the above time
CAST (avg(Speed) AS INT) AS AverageSpeed, -- Average table.Speed column data within the defined datetime
SUM(CASE WHEN Speed > SpeedLimit THEN 1 ELSE 0 END) AS SpeederCount
FROM RawSpeedLane AS sl
With SUM and IIF:
SELECT DISTINCT DateTime(Rounded, 'unixepoch') AS RoundedDate, -- Rounded DateTime to the floor hour
Count() AS Count, -- Count of items that registered within the above time
CAST (avg(Speed) AS INT) AS AverageSpeed, -- Average table.Speed column data within the defined datetime
SUM(IIF(Speed > SpeedLimit, 1, 0)) AS SpeederCount
FROM RawSpeedLane AS sl
There are totally 9 fields in the select clause of the query where 5 are direct fields. 2 of them are result of select query in the select clause and 2 more are from using the result from previous 2 fields used in case when statements. The SUM aggregate is applied on the last two columns.
All the first 5 columns are listed in the group by clause.
Query :
SELECT
sub.a,sub.b,sub.c,Table1.d,Table1.e,
(select x from table t1 where y=current_date) as f,
(select z from table t1 where y=w) as g,
sum(case when f=g then 1 else 0)) as h,
sum(case when f+1=g then 1 else 0)) as i
FROM Table1
LEFT JOIN
(SELECT a,b,c,l,m,n,o FROM Table2 INNER JOIN Table3 ON Table2.p=Table3.t)sub
ON Table1.e = sub.l
GROUP BY sub.a,sub.b,sub.c,Table1.d,Table1.e
The above query which works perfectly fine in Teradata v14.10.05.09 but fails with
"SELECT Failed. 3504: Selected non-aggregate values must be part of
the associated group"
in Teradata v14.00.07.02.
Is this because of something introduced in the newer version that is causing the query to fail but run fine in older version?
Or am I missing something?
Thanks in Advance.
This is the actual query that is giving the problem: SELECT
sub.key,sub.div,sub.reg_nm,tb_cal.calendar_yr,tb_cal.calendar_mth,
(SEL fiscal_yr FROM db1.tb_cal tb_cal WHERE calendar_dt=CURRENT_DATE) current_fy,
(SEL fiscal_yr FROM db1.tb_cal tb_cal WHERE calendar_dt=clse_dt) clse_dt_fy,
SUM(CASE WHEN current_fy=clse_dt_fy THEN sub.amt ELSE 0 END) cnt
FROM db1.tb_cal tb_cal
LEFT JOIN( SELECT
tbl_a.key,tbl_a.stage,COALESCE(tbl_u.div, 'Un-assigned') div,COALESCE(tbl_u.reg_nm,'Un-assigned') reg_nm,tbl_a.clse_dt,tbl_a.amt
FROM db_a.tbl_a tbl_a
INNER JOIN db1.tbl_u tbl_u
ON tbl_u.unit_key=tbl_a.unit_key
WHERE tbl_a.ctg IN ('G','O','C','F','I') AND tbl_a.stage NOT IN ('R', 'D', 'N','A') AND tbl_a.ind = 0
)sub
ON sub.clse_dt = tb_cal.calendar_dt
GROUP BY sub.key,sub.div,sub.reg_nm,tb_cal.calendar_yr,tb_cal.calendar_mth
SELECT
sub.key,
sub.div,
sub.reg_nm,
tb_cal.calendar_yr,
tb_cal.calendar_mth,
(SEL fiscal_yr FROM db1.tb_cal tb_cal WHERE calendar_dt=CURRENT_DATE) current_fy,
(SEL fiscal_yr FROM db1.tb_cal tb_cal WHERE calendar_dt=clse_dt) clse_dt_fy,
SUM(CASE WHEN current_fy=clse_dt_fy THEN sub.amt ELSE 0 END) cnt
FROM db1.tb_cal tb_cal
LEFT JOIN( SELECT
tbl_a.key,tbl_a.stage,COALESCE(tbl_u.div, 'Un-assigned') div,COALESCE(tbl_u.reg_nm,'Un-assigned') reg_nm,tbl_a.clse_dt,tbl_a.amt
FROM db_a.tbl_a tbl_a
INNER JOIN db1.tbl_u tbl_u
ON tbl_u.unit_key=tbl_a.unit_key
WHERE tbl_a.ctg IN ('G','O','C','F','I') AND tbl_a.stage NOT IN ('R', 'D', 'N','A') AND tbl_a.ind = 0
) sub
ON sub.clse_dt = tb_cal.calendar_dt
GROUP BY sub.key,sub.div,sub.reg_nm,tb_cal.calendar_yr,tb_cal.calendar_mth,current_fy,clse_dt_fy;
This should work fine. But as per your comments, you said adding the last to columns in group by would alter your required answer. If that is the case, you can post what is your desired result set. We can help you out in that. Although looking at your query it doesn't seem that adding current_fy and clse_dt_fy will change your current result set.
I am stuck with this requirement -
I have some data in the format
(Entries now show data for both periods (Jan. 2011) and (Feb. 2011) on the same line as apposed to appearing separately).
At the end I need to print the data using dbms_output.put_line command.
I am using Oracle 10.2g.
Oracle 10g does not have a PIVOT function but you can convert the rows of data into columns using an aggregate function with a CASE expression. The basic syntax would be:
select d.id,
d.site,
d.entrance,
sum(case when d.date = 'Jan.2011' then enters else 0 end) "Jan.2011",
sum(case when d.date = 'Feb.2011' then enters else 0 end) "Feb.2011"
from
(
select id, site, entrance, date, enters
from yourdata
) d
group by d.id, d.site, d.entrance;
Note: you can replace the subquery with yourdata with your current query.
I have following query in sql server 2005 with a table
select t1.id, CONVERT(VARCHAR,t1.dt,103) date_1, CONVERT(VARCHAR,t2.dt,103) date_2, t1.hotel,
t1.price price_1, t2.price price_2, t2.price - t1.price difference, ((t2.price - t1.price)/t1.price)*100 as Diff_percentage
from test t1
inner join
(
select *
from test
) t2
on t1.hotel = t2.hotel
and t1.dt < t2.dt and t2.dt=(SELECT MAX(dt) from TEST) and t1.dt=(SELECT MAX(dt-1) from TEST)
I want to use count if function within this query. Based on difference column. So that i can count "How many increased, How many decreased, How many same, How many unavailable"
COUNT IF Difference>0 //How many increased
COUNT IF Difference<0 //How many decreased
COUNT IF Difference=0 //How many same
COUNT IF Difference="" //How many unavailable --Difference is blank.
DEMO : http://sqlfiddle.com/#!3/b6f37/29
If I wanted your existing query result I would rewrite the query as:
select t1.id,
CONVERT(VARCHAR,t1.dt,103) date_1,
CONVERT(VARCHAR,t2.dt,103) date_2,
t1.hotel,
t1.price price_1,
t2.price price_2,
t2.price - t1.price difference,
((t2.price - t1.price)/t1.price)*100 as Diff_percentage
from test t1
join (select max(dt) maxDt from test) d
on t1.dt = d.maxDt-1
join test t2
on t2.hotel = t1.hotel
and t2.dt = d.maxDt
To extend your original query to include hotels with missing rows:
select t1.id,
CONVERT(VARCHAR,t1.dt,103) date_1,
CONVERT(VARCHAR,t2.dt,103) date_2,
h.hotel,
t1.price price_1,
t2.price price_2,
t2.price - t1.price difference,
((t2.price - t1.price)/t1.price)*100 as Diff_percentage
from (select distinct hotel from test) h
cross join (select max(dt) maxDt from test) d
left join test t1
on t1.hotel = h.hotel
and t1.dt = d.maxDt-1
left join test t2
on t2.hotel = h.hotel
and t2.dt = d.maxDt
The above query would be much more efficient with a normalized HOTEL table (1 row per hotel) to replace the SELECT DISTINCT subquery.
To get your requested result, I would use:
select count(case when (t2.price-t1.price) < 0 then 1 end) decrease_count,
count(case when (t2.price-t1.price) > 0 then 1 end) increase_count,
count(case when (t2.price-t1.price) = 0 then 1 end) same_count,
count(distinct t1.hotel) - count(case when (t2.price-t1.price) is not null then 1 end) unavailable_count
from test t1
left join (select max(dt) maxDt from test) d
on t1.dt = d.maxDt-1
left join test t2
on t2.hotel = t1.hotel
and t2.dt = d.maxDt
Again the above would be more efficient with a normalized HOTEL table. I would restructure the query more like the previous one: select from HOTEL cross joined to the MAX date query, then outer join to the TEST table twice for the data for the 2 dates. The unavailable count could then be measured more directly, counting the number of rows where the difference computation is NULL.
Here is the SQL Fiddle for all the queries, along with some extended test data.
This approach uses your query and then just summarizes the results:
with t as (
select t1.id, CONVERT(VARCHAR,t1.dt,103) as date_1,
CONVERT(VARCHAR,t2.dt,103) as date_2,
t1.hotel,
t1.price as price_1, t2.price as price_2,
t2.price - t1.price as difference,
((t2.price - t1.price)/t1.price)*100 as Diff_percentage
from test t1 join
test t2
on t1.hotel = t2.hotel and
t1.dt < t2.dt and
t2.dt=(SELECT MAX(dt) from TEST) and
t1.dt=(SELECT MAX(dt-1) from TEST)
)
select sum(case when diff_percentage > 0.0 then 1 else 0 end) as numIncrease,
sum(case when diff_percentage < 0.0 then 1 else 0 end) as numDecrease,
sum(case when diff_percentage = 0.0 then 1 else 0 end) as numSame,
sum(case when diff_percentage is NULL then 1 else 0 end) as numBlank
from t
I'm not sure what "dt - 1" means. With date/datetime values in SQL Server, one usually uses "dateadd(day, -1, )" to subtract a date. In any case, there may be other ways to calculate what you want, but this answers your specific question.
I need some help to build SQL Query. I have table having data like:
ID Date Name
1 1/1/2009 a
2 1/2/2009 b
3 1/3/2009 c
I need to get result something like...
1 1/1/2009 a
2 1/2/2009 b
3 1/3/2009 c
4 1/4/2009 Null
5 1/5/2009 Null
6 1/6/2009 Null
7 1/7/2009 Null
8 1/8/2009 Null
............................
............................
............................
30 1/30/2009 Null
31 1/31/2009 Null
I want query something like..
Select * from tbl **where month(Date)=1 AND year(Date)=2010**
Above is not completed query.
I need to get all the record of particular month, even if some date missing..
I guess there must be equi Join in the query, I am trying to build this query using Equi join
Thanks
BIG EDIT
Now understand the OPs question.
Use a common table expression and a left join to get this effect.
DECLARE #FirstDay DATETIME;
-- Set start time
SELECT #FirstDay = '2009-01-01';
WITH Days AS
(
SELECT #FirstDay as CalendarDay
UNION ALL
SELECT DATEADD(d, 1, CalendarDay) as CalendarDay
FROM Days
WHERE DATEADD(d, 1, CalendarDay) < DATEADD(m, 1, #FirstDay)
)
SELECT DATEPART(d,d.CalendarDay), **t.date should be (d.CalendarDay)**, t.Name FROM Days d
LEFT JOIN tbl t
ON
d.CalendarDay = t.Date
ORDER BY
d.CalendarDay;
Left this original answer at bottom
You need DATEPART, sir.
SELECT * FROM tbl WHERE DATEPART(m,Date) = 1
If you want to choose month and year, then you can use DATEPART twice or go for a range.
SELECT * FROM tbl WHERE DATEPART(m,Date) = 1 AND DATEPART(yyyy,Date) = 2009
Range :-
SELECT * FROM tbl WHERE Date >= '2009-01-01' AND Date < '2009-02-01'
See this link for more info on DATEPART.
http://msdn.microsoft.com/en-us/library/ms174420.aspx
You can use less or equal to.
Like so:
select * from tbl where date > '2009-01-01' and date < '2009-02-01'
However, it is unclear if you want month 1 from all years?
You can check more examples and functions on "Date and Time Functions" from MSDN
Create a temporary table containing all days of that certain month,
Do left outer join between that table and your data table on tempTable.month = #month.
now you have a big table with all days of the desired month and all the records matching the proper dates + empty records for those dates who have no data.
i hope that's what you want.