I want to show all supplier information sorted by country, including number of names supplied in current month.
Here are the two database and their variables:
1.Supplier: SupplierID, Suppliedname, Country, ReliabilityScore, ContactInfo
2.SuppliedName: SnID, Suppliedname1, Language, Status, Standard, PlaceID,SupplierID, Supplieddate
Here's what I came up with which didn't really work:
SELECT COUNT(DISTINCT SuppliedName.suppliedname1), Supplier.(*) FROM SuppliedName
INNER JOIN Supplier ON Supplier.SupplierID = SuppliedName.SupplierID
WHERE EXTRACT(MONTH FROM SuppliedName.Supplieddate)=EXTRACT(MONTH FROM sysdate) AND EXTRACT(YEAR FROM SuppliedName.Supplieddate)=EXTRACT(YEAR FROM sysdate)
ORDER BY Supplier.Country;
Please help!!! Thanks!
I guess you just missed to GROUP BY all columns from SUPPLIER.
SELECT COUNT(DISTINCT SUPPLIEDNAME.SUPPLIEDNAME1),
SUPPLIER.SUPPLIERID,
SUPPLIER.SUPPLIEDNAME,
SUPPLIER.COUNTRY,
SUPPLIER.RELIABILITYSCORE,
SUPPLIER.CONTACTINFO
FROM SUPPLIEDNAME
INNER JOIN SUPPLIER
ON SUPPLIER.SUPPLIERID = SUPPLIEDNAME.SUPPLIERID
WHERE EXTRACT(MONTH FROM SUPPLIEDNAME.SUPPLIEDDATE) = EXTRACT(MONTH FROM SYSDATE)
AND EXTRACT(YEAR FROM SUPPLIEDNAME.SUPPLIEDDATE) = EXTRACT(YEAR FROM SYSDATE)
GROUP BY SUPPLIER.SUPPLIERID,
SUPPLIER.SUPPLIEDNAME,
SUPPLIER.COUNTRY,
SUPPLIER.RELIABILITYSCORE,
SUPPLIER.CONTACTINFO
ORDER BY SUPPLIER.COUNTRY;
Related
I have the following two queries that I need to join together to get one final output.
The primary keys are year, month,cost_center, g.account, and e.submapping.
The first table is an acutals table from a GL while the second query is a planned amount. I am trying to compare actuals to plan and need to join these two tables with the primary keys listed.
---Query 1 (e)
with Ranking as (
select c.*, rank() over(partition by
c.ledger_name,
c.company_code,
c.location_code,
c.cost_center,
c.account_number,
c.period_name,
c.currency,
c.amount,
c.entered_amount,
c.dm_insert_dt
order by dw_last_updated DESC) rnk
from wbr_global.gl_ap_details c
where cost_center IN ('1168','1153','1172','1257')
and ledger_name IN ('ABC.com, Inc.')
and account_number between '59999' and '70000')
select
to_date(period_name, 'Mon-YY') as BalanceDate,
date_part(month,(to_date(period_name, 'Mon-YY'))) as Months,
Case
when right(period_name,2) = right(date_part_year(current_date),2) then 'Current Year'
when right(period_name,2) = right(date_part_year(current_date) - 1,2) then 'Prior Year'
else 'Error' end as YearFlag,
EXTRACT(YEAR from balancedate) as year,
EXTRACT(Month from balancedate) as month,
e.sub_mapping,
c.cost_center,
c.period_name,
sum(c.amount) as amount
from Ranking c
left join wbr_global.raw_station_extended_attribute d on c.location_code = d.location_code
left join sandbox.utr_fixed_mapping_na e on c.account_number = e.account_number
where c.cost_center IN ('1168','1153','1172','1257')
and c.ledger_name = 'abc.com, Inc.'
and c.rnk = 1
group by 1,2,3,4,5,6,7,8
limit 10
Here is the second query
---Second query g
EXTRACT(YEAR from first_day_of_month) as year,
EXTRACT(Month from first_day_of_month) as month,
first_day_of_month,country,cost_center,scenario,'employee_relation' as account,
sum(employee_relation) as amount
from prophecy_to_sabre_ds_db.prophecy_caffeine.output_ww_field_opex
where cost_center = 1172
AND scenario = 'Q2G_22_1'
group by 1,2,3,4,5,6
Would I be able to make one a sub query in the other and join that way.
(Query 2) as g on g.cost_center = c.cost_center
and g.account = e.sub_mapping
and g.year = e.year
and g.month = e.month
Select
CIDetail.Itemname,
sum(CIDetail.TaxAmount+ CIDetail.LineAmount) As [TotalAmount]
From
CIDetail (Nolock)
INNER JOIN CIHeader On CIDetail.InvoiceNo= CIHeader.InvoiceNo
Where
CIHeader.InvoiceDate Between '2010-04-01' AND '2014-04-01'
Group By
CIDetail.Itemname
Have a derived table where you use ANSI SQL's EXTRACT to get the year part out of the date, and also add the amounts together. At main level you do GROUP BY both Itemname and year:
Select Itemname, "year", SUM(Amount) as TotalAmount
from
(
CIDetail.Itemname,
extract(year from CIHeader.InvoiceDate) as "year",
CIDetail.TaxAmount + CIDetail.LineAmount As Amount
From
CIDetail (Nolock)
INNER JOIN CIHeader On CIDetail.InvoiceNo= CIHeader.InvoiceNo
) dt
Group By
Itemname, "year"
No dbms tagged in question, but if your dbms doesn't support EXTRACT, try YEAR(CIHeader.InvoiceDate) for example, or something else.
Add to the query a order by clause. Here as you are saying that you want it by date, I will assume that one itemname has only one InvoiceDate. And thus its max will have the same value. You will have to do it as follows
Select CIDetail.Itemname,
sum(CIDetail.TaxAmount+ CIDetail.LineAmount) As [TotalAmount],
From CIDetail (Nolock) INNER JOIN CIHeader
On CIDetail.InvoiceNo= CIHeader.InvoiceNo
Where CIHeader.InvoiceDate Between '2010-04-01' AND '2014-04-01' Group By
CIDetail.Itemname
Order By max(CIHeader.InvoiceDate) ASC
I am trying to create a query that retrieves only the ten companies with the highest number of pickups over the six-month period, this means pickup occasions, and not the number of items picked up.
I have done this
SELECT *
FROM customer
JOIN (SELECT manifest.pickup_customer_ref reference,
DENSE_RANK() OVER (PARTITION BY manifest.pickup_customer_ref ORDER BY COUNT(manifest.trip_id) DESC) rnk
FROM manifest
INNER JOIN trip ON manifest.trip_id = trip.trip_id
WHERE trip.departure_date > TRUNC(SYSDATE) - interval '6' month
GROUP BY manifest.pickup_customer_ref) cm ON customer.reference = cm.reference
WHERE cm.rnk < 11;
this uses dense_rank to determine the order or customers with the highest number of trips first
Hmm well i don't have Oracle so I can't test it 100%, but I believe your looking for something like the following:
Keep in mind that when you use group by, you have to narrow down to the same fields you group by in the select. Hope this helps at least give you an idea of what to look at.
select TOP 10
c.company_name,
m.pickup_customer_ref,
count(*) as 'count'
from customer c
inner join mainfest m on m.pickup_customer_ref = c.reference
inner join trip t on t.trip_id = m.trip_id
where t.departure_date < DATEADD(month, -6, GETDATE())
group by c.company_name, m.pickup_customer_ref
order by 'count', c.company_name, m.pickup_customer_ref desc
How can I join multiple sql statements. I need to display in one view respectively 2004,2008,2009 and so on
SELECT SUM(ACQUISITIONPRICE) AS YEAR_2007
FROM TRANS
WHERE DATEACQUIRED LIKE '%07';
SELECT SUM(ACQUISITIONPRICE) AS YEAR_2008
FROM TRANS
WHERE DATEACQUIRED LIKE '%08';
SELECT SUM(ACQUISITIONPRICE) AS YEAR_2009
FROM TRANS
WHERE DATEACQUIRED LIKE '%09';
check this sql fiddle
I have handled your requirement with case statement which seems to be very easy.
SELECT SUM(ACQUISITIONPRICE) AS TOTALPRICE
, EXTRACT(year from DATEACQUIRED) AS YEAR
FROM TRANS
GROUP BY EXTRACT(year from DATEACQUIRED)
ORDER BY YEAR;
SELECT Sum(CASE
WHEN Extract(year FROM dateacquired) = 2007 THEN acquisitionprice
ELSE 0
END) AS YEAR_2007,
Sum(CASE
WHEN Extract(year FROM dateacquired) = 2008 THEN acquisitionprice
ELSE 0
END) AS YEAR_2008,
Sum(CASE
WHEN Extract(year FROM dateacquired) = 2009 THEN acquisitionprice
ELSE 0
END) AS YEAR_2009
FROM trans
Just use GROUP BY like so:
SELECT SUM(ACQUISITIONPRICE) AS TOTALPRICE
, EXTRACT(year from DATEACQUIRED) AS YEAR
FROM TRANS
GROUP BY EXTRACT(year from DATEACQUIRED)
ORDER BY YEAR
If you really want to "join" them all in one row, with specific column names, you can do the following (though this approach is less flexible, since the query will have to be manually modified every year). Also note that although the question specifically mentioned "joining" the results, the join as shown below is completely unnecessary. Each column could simply be part of the select clause without any join. (here is the SqlFiddle)
SELECT * FROM
(SELECT SUM(ACQUISITIONPRICE) AS YEAR_2007
FROM TRANS
WHERE EXTRACT(year from DATEACQUIRED) = 2007) a
JOIN
(SELECT SUM(ACQUISITIONPRICE) AS YEAR_2008
FROM TRANS
WHERE EXTRACT(year from DATEACQUIRED) = 2008) b ON 1=1
JOIN
(SELECT SUM(ACQUISITIONPRICE) AS YEAR_2009
FROM TRANS
WHERE EXTRACT(year from DATEACQUIRED) = 2009) c ON 1=1
If you want the results in a single row, a preferable approach is to use a sub-select with dual as shown in this fiddle:
SELECT
(SELECT SUM(ACQUISITIONPRICE) FROM TRANS WHERE EXTRACT(year from DATEACQUIRED) = 2007) AS YEAR_2007
, (SELECT SUM(ACQUISITIONPRICE) FROM TRANS WHERE EXTRACT(year from DATEACQUIRED) = 2008) AS YEAR_2008
, (SELECT SUM(ACQUISITIONPRICE) FROM TRANS WHERE EXTRACT(year from DATEACQUIRED) = 2009) AS YEAR_2009
FROM dual
When it comes to performance, the only real way to be sure is of course to test it in your particular scenario, but the SUM (CASE... approach shown by #Indra-Prakash-Tiwari may perform better in most cases (if oracle behaves anything like sql server)
Try Use To_Char
Fiddle demo
select TO_CHAR(DATEACQUIRED,'yy') AS Years_Char,Sum(ACQUISITIONPRICE)
FROM trans GROUP BY TO_CHAR(DATEACQUIRED,'yy')
A quick background -- I need to find the termination rates of cases that go through our company lab grouped by case type and month. So far I came up with this:
SELECT BPI.TYPE,
EXTRACT(MONTH FROM CS.RECEIVED_DATE) MONTH,
COUNT(*) termed_cases
FROM CELL_SOURCE cs
JOIN BASIC_PATHOLOGY_INFO bpi ON CS.CELL_SOURCE_ID = BPI.CELL_SOURCE_ID
JOIN RECENT_CELL_SOURCE_STATUS rcss ON CS.CELL_SOURCE_ID = RCSS.CELL_SOURCE_ID
WHERE type IS NOT NULL
AND CS.RECEIVED_DATE > to_date('03/01/2011', 'MM/DD/YYYY/')
AND RCSS.STATUS like 'Term%'
GROUP BY BPI.TYPE, EXTRACT(MONTH FROM CS.RECEIVED_DATE)
ORDER BY month, type
This finds all cases that have been termed, easy enough. However, when I want to find the rate, I get a bit of a problem. I tried using a sub-query to catch the total amount of cases per type regardless of it's status, as such:
COUNT(*)/(SELECT COUNT(*)
FROM CELL_SOURCE cs_1
JOIN BASIC_PATHOLOGY_INFO bpi_1 ON CS_1.CELL_SOURCE_ID = BPI_1.CELL_SOURCE_ID
WHERE BPI_1.TYPE = BPI.TYPE
AND EXTRACT(month from CS_1.RECEIVED_DATE) = EXTRACT(MONTH FROM CS.RECEIVED_DATE)) termed_cases
However, this throws an ORA-00979: not a GROUP BY expression error, and highlights BPI.TYPE from the sub-query.
Anyone have any idea what my error could actually be? Also, would an analytical function work better here than an aggregate function?
So, you need two counts: a total for all cases in the month and a total for just the Termed cases. The easiest way of doing this is to use a CASE() function to execute a conditional count, like this:
SELECT BPI.TYPE,
EXTRACT(MONTH FROM CS.RECEIVED_DATE) MONTH,
COUNT(*) all_cases,
sum(case when RCSS.STATUS like 'Term%' then 1 else 0 end ) termed_cases
FROM CELL_SOURCE cs
JOIN BASIC_PATHOLOGY_INFO bpi ON CS.CELL_SOURCE_ID = BPI.CELL_SOURCE_ID
JOIN RECENT_CELL_SOURCE_STATUS rcss ON CS.CELL_SOURCE_ID = RCSS.CELL_SOURCE_ID
WHERE tumor_type IS NOT NULL
AND CS.RECEIVED_DATE > to_date('03/01/2011', 'MM/DD/YYYY/')
GROUP BY BPI.TUMOR_TYPE, EXTRACT(MONTH FROM CS.RECEIVED_DATE)
ORDER BY month, tumor_type
Note that I have removed the LIKE filter from the WHERE clause.
select bpi.type , month,
termed_cases /
(select count(*)
from CELL_SOURCE cs_1
inner join BASIC_PATHOLOGY_INFO bpi_1
on CS_1.CELL_SOURCE_ID = BPI_1.CELL_SOURCE_ID
where BPI_1.TUMOR_TYPE = BPI.TUMOR_TYPE
and extract(month from CS_1.RECEIVED_DATE) = extract(MONTH FROM CS.RECEIVED_DATE)
)
from (
select BPI.TYPE,
extract(MONTH FROM CS.RECEIVED_DATE) MONTH,
count(*) termed_cases
from CELL_SOURCE cs
inner join BASIC_PATHOLOGY_INFO bpi
on CS.CELL_SOURCE_ID = BPI.CELL_SOURCE_ID
inner join RECENT_CELL_SOURCE_STATUS rcss
on CS.CELL_SOURCE_ID = RCSS.CELL_SOURCE_ID
where tumor_type is not null
and CS.RECEIVED_DATE > to_date('03/01/2011', 'MM/DD/YYYY/')
and RCSS.STATUS like 'Term%'
group by BPI.TYPE, extract(MONTH FROM CS.RECEIVED_DATE)
)
order by month, type