This is my current data model ->
part of data model
I need help in creating a measure.
The measure I want to create should show the overall capacity of the ships that had trips in a time interval, as well as be able to see the total capacity based on the room type.
I am interested in obtaining the DAX equivalent of :
SELECT SUM(sc.capacity)
FROM Reporting.Trips t
JOIN Reporting.Dates d ON d.DateId = t.DateId
JOIN Reporting.ShipCapacities sc on sc.ShipId = t.ShipId
WHERE d.FiscalYear= 2017 AND d.FiscalWeek=15
OR per type
SELECT SUM(sc.capacity)
FROM Reporting.Trips t
JOIN Reporting.Dates d ON d.DateId = t.DateId
JOIN Reporting.ShipCapacities sc on sc.ShipId = t.ShipId
WHERE d.FiscalYear= 2017 AND d.FiscalWeek=15 and sc.CabinTypeId = 11
I tried to define a measure in this manner:
Total Rooms:=CALCULATE ( SUM ( 'Ship Capacities'[Ship Capacity] ) )
I have seen that this outputs the T-SQL equivalent of:
SELECT SUM(Capacity)
FROM
(
SELECT DISTINCT sc.*
FROM Reporting.Trips t
JOIN Reporting.Dates d ON d.DateId = t.DateId
JOIN Reporting.ShipCapacities sc on sc.ShipId = t.ShipId
WHERE d.FiscalYear= 2017 AND d.FiscalWeek=15
) x
OR per type
SELECT SUM(Capacity)
FROM
(
SELECT DISTINCT sc.*
FROM Reporting.Trips t
JOIN Reporting.Dates d ON d.DateId = t.DateId
JOIN Reporting.ShipCapacities sc on sc.ShipId = t.ShipId
WHERE d.FiscalYear= 2017 AND d.FiscalWeek=15 and sc.CabinTypeId = 11
) x
These are the query results ->Query results
Thanks.
This is the final measure that worked for me:
Total Rooms:=CALCULATE (
SUMX (
'Ship Capacities',
'Ship Capacities'[Ship Capacity]
* COUNTROWS ( FILTER ( Trips, AND( Trips[Sailed] = TRUE (),Trips[ShipId] = 'Ship Capacities'[ShipId] ) ))
)
)
Notice the COUNTROWS.
In the case of a many to one, then a one to many relation, it did not iterate (but previously I used SUM and not SUMX).
I found it unusual that I have to mention the relation between the many to many tables.
Otherwise it does not work.
Related
So, full disclosure, this is my first time using a pivot table and the result set has multiple columns as a result. In this example, we will use the result set without a pivot table applied.
This student has taken multiple courses. What the ideal end result would be, is to count how many courses this student has taken. So if I look I see that the Student has taken Algebra 1 5 times, English 1 2 times and Geometry 2 times.
The Next image is the query with the pivot applied, oh and to make things complicated, its a monster query before trying to attempt the pivot.
So we see in this, that Algebra 1 has a count of 0, Geometry has a count of 2 and English has a count of 0. This is the same query as before but just using this student.
Query:
SELECT *
FROM
(SELECT
[StudentNumber], psat.MathScaledScore, psat.EBRWScore,
SCReady.MathScaleScore, SCReady.ReadingScaleScore,
SpringMap.MathPercentile, SpringMap.ReadingPercentile,
Coursework.Course_name
FROM
[OnlineApplications].[dbo].[Users] U
LEFT JOIN
[OnlineApplications].[dbo].ContactInfoes C ON C.ContactInfoId = U.UserId
LEFT JOIN
(SELECT *
FROM [DOENRICH-SQL].[enrich_prod].dbo.HCS_view_Most_Recent_PSAT_Scores Scores) AS psat ON U.StudentNumber = psat.number
LEFT JOIN
(SELECT
stud.Number, sc.DateTaken,
CASE sc.ELALev
WHEN 'E8AE0E4D-AD36-41D8-AC89-627D19661803' THEN 'Exceeds Expectations'
WHEN 'C9F2CDA2-D904-438B-9DD3-94EFC9111A0E' THEN 'Approaches Expectations'
WHEN '9B39E28F-89C8-44AD-A8F2-1463192F88F1' THEN 'Does Not Meet Expectation'
WHEN '87247DB1-4A57-419E-9619-7B43B02B1135' THEN 'Meets Expectations'
END ELALev,
sc.ELASS AS ELAScaleScore, sc.elavss AS VerticalScaleScore,
sc.elassread AS ReadingScaleScore,
sc.ELARS10 AS RawScoreStandard10, sc.elASPR AS ELAStatePercentileRank,
MathLev = CASE MathLev
WHEN 'E8AE0E4D-AD36-41D8-AC89-627D19661803' THEN 'Exceeds Expectations'
WHEN 'C9F2CDA2-D904-438B-9DD3-94EFC9111A0E' THEN 'Approaches Expectations'
WHEN '9B39E28F-89C8-44AD-A8F2-1463192F88F1' THEN 'Does Not Meet Expectation'
WHEN '87247DB1-4A57-419E-9619-7B43B02B1135' THEN 'Meets Expectations'
END,
sc.MATHSS AS MathScaleScore, sc.MathVSS AS MathVerticalScaleScore,
sc.mathspr AS MathStatePercentileRank
FROM
[DOENRICH-SQL].[enrich_prod].dbo.t_sc_ready sc
JOIN
[DOENRICH-SQL].[enrich_prod].dbo.Student stud ON sc.StudentID = stud.ID
WHERE
DateTaken = '2019-05-17') AS SCReady ON SCReady.number = U.studentnumber
LEFT JOIN
(
select stud.Number, max(map.readingPercentile) as ReadingPercentile, max(map.mathPercentile) as MathPercentile
from [DOENRICH-SQL].[ENRICH_PROD].[dbo].t_map map
join [DOENRICH-SQL].[ENRICH_PROD].[INFORM].[Map_GradeLevelID] mapping on map.GradeLevelID = mapping.DestID
JOIN [DOENRICH-SQL].[ENRICH_PROD].[dbo].[Student] stud on map.StudentID = stud.ID
where DateTaken >= '2018-08-01'
group by stud.Number
) as SpringMap on SpringMap.number = U.Studentnumber
left join (
SELECT * FROM OPENQUERY(PSPROD,'
Select B.STUDENT_NUMBER , A.COURSE_NAME, A.GRADE_LEVEL, A.SCHOOLNAME, A.GRADE
from PS.STOREDGRADES A
join PS.STUDENTS B ON A.STUDENTID = B.ID
AND STORECODE in (''Q1'',''Q2'',''Q3'',''Q4'',''F1'')
AND (COURSE_NAME LIKE ''%Algebra 1%'' OR COURSE_NAME LIKE ''%Geometry Honors%'' OR COURSE_NAME LIKE ''%English 1%'')
group by B.STUDENT_NUMBER , A.COURSE_NAME, a.STORECODE, A.GRADE, A.PERCENT, A.GRADE_LEVEL, A.SCHOOLNAME
ORDER BY STUDENT_NUMBER, STORECODE DESC
'
)
) as Coursework on Coursework.STUDENT_NUMBER = U.StudentNumber
join [OnlineApplications].[dbo].ScholarsApps Sapps on Sapps.ScholarsAppId = u.UserId
where AppYear = 2019 and StudentNumber <> '' and StudentNumber = '17476'
) T
PIVOT (
COUNT (COURSE_NAME)
FOR course_name IN (
[Algebra 1],
[Geometry Honors],
[English 1])
)
as Pivot_table
Again, very complicated query before and I'm not clear if I'm using the pivot function correctly.
I'd love to have this pivot with the counts of the courses.
I've been trying hopelessly to get the following SQL statement to return the query results and default to 0 if there are no rows matching the query.
This is the intended result:
vol | year
-------+------
0 | 2018
Instead I get:
vol | year
-----+------
(0 rows)
Here is the sql statement:
select coalesce(vol,0) as vol, year
from (select sum(vol) as vol, year
from schema.fact_data
join schema.period_data
on schema.fact_data.period_tag = schema.period_data.tag
join schema.product_data
on schema.fact_data.product_tag =
schema.product_data.tag
join schema.market_data
on schema.fact_data.market_tag = schema.market_data.tag
where "retailer"='MadeUpRetailer'
and "product_tag"='FakeProductTag'
and "year"='2018' group by year
) as DerivedTable;
I know the query works because it returns data when there is data. Just doesn't default to 0 as intended...
Any help in finding why this is the case would be much appreciated!
Using your subquery DerivedTable, you could write:
SELECT coalesce(DerivedTable.vol, 0) AS vol,
y.year
FROM (VALUES ('2018'::text)) AS y(year)
LEFT JOIN (SELECT ...) AS DerivedTable
ON DerivedTable.year = y.year;
Remove the GROUP BY (and the outer query):
select 2018 as year, coalesce(sum(vol), 0) as vol
from schema.fact_data f join
schema.period_data p
on f.period_tag = p.tag join
schema.product_data pr
on f.product_tag = pr.tag join
schema.market_data m
on fd.market_tag = m.tag
where "retailer" = 'MadeUpRetailer' and
"product_tag" = 'FakeProductTag' and
"year" = '2018';
An aggregation query with no GROUP BY always returns exactly one row, so this should do what you want.
EDIT:
The query would look something like this:
select v.yyyy as year, coalesce(sum(vol), 0) as vol
from (values (2018), (2019)) v(yyyy) left join
schema.fact_data f
on f.year = v.yyyy left join -- this is just an example. I have no idea where year is coming from
schema.period_data p
on f.period_tag = p.tag left join
schema.product_data pr
on f.product_tag = pr.tag left join
schema.market_data m
on fd.market_tag = m.tag
group by v.yyyy
However, you have to move the where conditions to the appropriate on clauses. I have no idea where the columns are coming from.
From the code you posted it is not clear in which table you have the year column.
You can use UNION to fetch just 1 row in case there are no rows in that table for the year 2018 like this:
select sum(vol) as vol, year
from schema.fact_data innrt join schema.period_data
on schema.fact_data.period_tag = schema.period_data.tag
inner join schema.product_data
on schema.fact_data.product_tag = schema.product_data.tag
inner join schema.market_data
on schema.fact_data.market_tag = schema.market_data.tag
where
"retailer"='MadeUpRetailer' and
"product_tag"='FakeProductTag' and
"year"='2018'
group by "year"
union
select 0 as vol, '2018' as year
where not exists (
select 1 from tablename where "year" = '2018'
)
In case there are rows for the year 2018, then nothing will be fetched by the 2nd query,
I'm getting an aggregated count of records for orders and I'm getting the expected count on this basic query:
SELECT
count(*) as sales_180,
180/count(*) as velocity
FROM custgroup g
WHERE g.cstnoc = 10617
AND g.framec = 4847
AND g.covr1c = 1763
AND g.colr1c = 29
AND date(substr(g.extd1d,1,4)||'-'||substr(g.EXTD1d,5,2)||'-'||substr(g.EXTD1d,7,2) ) between current_Date - 180 DAY AND current_Date
But as soon as I add back in my joins and joined values then my count goes from 1 (which it should be) to over 200. All I need from these joins is the customer ID and the manager number. so even if my count is high, I'm basically just trying to say "for this cstnoc, give me the slsupr and xlsno"
How can I perform this below query without affecting the count? I only want my count (sales_180 and velocity) coming from the custgroup table based on my where clause, but I then just want one value of the xcstno and xslsno based on the cstnoc.
SELECT
count(*) as sales_180,
180/count(*) as velocity,
c.xslsno as CustID,
cr.slsupr as Manager
FROM custgroup g
inner join customers c
on g.cstnoc = c.xcstno
inner join managers cr
on c.xslsno = cr.xslsno
WHERE g.cstnoc = 10617
AND g.framec = 4847
AND g.covr1c = 1763
AND g.colr1c = 29
AND date(substr(g.extd1d,1,4)||'-'||substr(g.EXTD1d,5,2)||'-'||substr(g.EXTD1d,7,2) ) between current_Date - 180 DAY AND current_Date
GROUP BY c.xslsno, cr.slsupr
You are producing multiple rows when joining, so your count is now counting all the resulting rows with all that [unintended] multiplicity.
The solution? Use a table expression to pre-compute your count, and then you can join it to the other tables, as in:
select
g2.sales_180,
g2.velocity,
c.xslsno as CustID,
cr.slsupr as Manager
from customers c
join managers cr on c.xslsno = cr.xslsno
join ( -- here the Table Expression starts
SELECT
count(*) as sales_180,
180/count(*) as velocity
FROM custgroup g
WHERE g.cstnoc = 10617
AND g.framec = 4847
AND g.covr1c = 1763
AND g.colr1c = 29
AND date(substr(g.extd1d,1,4)||'-'||substr(g.EXTD1d,5,2)
||'-'||substr(g.EXTD1d,7,2) )
between current_Date - 180 DAY AND current_Date
) g2 on g2.cstnoc = c.xcstno
You can also use a Common Table Expression (CTE) that will produce the same result:
with g2 as (
SELECT
count(*) as sales_180,
180/count(*) as velocity
FROM custgroup g
WHERE g.cstnoc = 10617
AND g.framec = 4847
AND g.covr1c = 1763
AND g.colr1c = 29
AND date(substr(g.extd1d,1,4)||'-'||substr(g.EXTD1d,5,2)
||'-'||substr(g.EXTD1d,7,2) )
between current_Date - 180 DAY AND current_Date
)
select
g2.sales_180,
g2.velocity,
c.xslsno as CustID,
cr.slsupr as Manager
from customers c
join managers cr on c.xslsno = cr.xslsno
join g2 on g2.cstnoc = c.xcstno
I have a UNION of 3 tables for calculating some balance and I need to get the running SUM of that balance but I can't use PARTITION OVER, because I must do it with a sql query that can work in Access.
My problem is that I cannot use JOIN on an alias subquery, it won't work.
How can I use alias in a JOIN to get the running total?
Or any other way to get the SUM that is not with PARTITION OVER, because it does not exist in Access.
This is my code so far:
SELECT korisnik_id, imePrezime, datum, Dug, Pot, (Dug - Pot) AS Balance
FROM (
SELECT korisnik_id, k.imePrezime, r.datum, SUM(IIF(u.jedinstven = 1, r.cena, k.kvadratura * r.cena)) AS Dug, '0' AS Pot
FROM Racun r
INNER JOIN Usluge u ON r.usluga_id = u.ID
INNER JOIN Korisnik k ON r.korisnik_id = k.ID
WHERE korisnik_id = 1
AND r.zgrada_id = 1
AND r.mesec = 1
AND r.godina = 2017
GROUP BY korisnik_id, k.imePrezime, r.datum
UNION ALL
SELECT korisnik_id, k.imePrezime, rp.datum, SUM(IIF(u.jedinstven = 1, rp.cena, k.kvadratura * rp.cena)) AS Dug, '0' AS Pot
FROM RacunP rp
INNER JOIN Usluge u ON rp.usluga_id = u.ID
INNER JOIN Korisnik k ON rp.korisnik_id = k.ID
WHERE korisnik_id = 1
AND rp.zgrada_id = 1
AND rp.mesec = 1
AND rp.godina = 2017
GROUP BY korisnik_id, k.imePrezime, rp.datum
UNION ALL
SELECT uu.korisnik_id, k.imePrezime, uu.datum, '0' AS Dug, SUM(uu.iznos) AS Pot
FROM UnosUplata uu
INNER JOIN Korisnik k ON uu.korisnik_id = k.ID
WHERE korisnik_id = 1
GROUP BY uu.korisnik_id, k.imePrezime, uu.datum
) AS a
ORDER BY korisnik_id
You can save a query (let's name it Query1) for the UNION of the 3 tables and then create another query that returns each row in the first query and calculates the sum of the rows that are before it (optionally checking that they are in the same group).
It should be something like this:
SELECT *, (
SELECT SUM(Value) FROM Query1 AS b
WHERE b.GroupNumber=a.GroupNumber
AND b.Position<=a.Position
) AS RunningSum
FROM Query1 AS a
However, it's more efficient to do that in the report.
Ok I have two tables
measures
attr_id, period, net_orders, ref_1 (key = attr_id,period)
and
policy
attr_id, lead_time
What I need to do is grab the 'net_orders' from measure at period (which is a date), Add the 'lead_time' and update the measure table 'ref_1' where period = period+lead
I currently have the select that gets me the data I need but I keep losing myself in my head when trying to figure out the where clauses.
SELECT
m.attr_id,
m.period,
m.net_orders,
p.lead_time,
DATE(m.period) + CAST(p.lead_time as INTEGER) as updateperiod
FROM
measures m
INNER JOIN policy p ON p.attr_id = m.attr_id
I am stuck with some of the following query - aka incomplete
UPDATE
measures m
SET
ref_1 = (SELECT m1.net_orders FROM measures m1
WHERE m1.attr_id = m.attr_id AND m1.period = m.period)
WHERE
attr_id = (SELECT m3.attr_id
FROM measures m3 WHERE m3.attr_id = m.attr_id
AND m3.period = m.period)
AND m.period = (SELECT DATE(m2.period) + CAST(p2.lead_time AS INTEGER)
FROM measures m2 INNER JOIN policy p2 ON p2.attr_id = m2.attr_id
WHERE m2.attr_id = m.attr_id AND m2.period = m.period)
EDIT
update measures m
set reference_1 = s.net_orders
from (
select
m.attribute_id, period, net_orders,
DATE(period) + CAST(lead_time as integer) as periodlevel
from
measures m
inner join policies p on p.attribute_id = m.attribute_id
) s
where
m.attribute_id = s.attribute_id
and m.period = s.periodlevel
This is the query that has ended up working. I was getting errors with first answer but looks like it is working now!
update measures m
set ref_1 = s.net_orders
from (
select
m.attr_id, period, net_orders,
period::date + lead_time::int period
from
measures m
inner join
policy using(attr_id)
) s
where
s.attr_id = m.attr_id
and s.period = m.period::date