I have tried a lot to figure how to get the count from two tables with respect to master table
I have three tables
Using these table values I need to get this output..
Tried but could get the desired result
http://en.wikipedia.org/wiki/Join_(SQL)
SQL - LEFT OUTER JOIN and WHERE clause
http://forums.devshed.com/oracle-development-96/combination-of-left-outer-join-and-where-clause-383248.html
You have to first GROUP BY in subqueries, then JOIN to the main table:
SELECT
a.AttributeId
, COALECSE(cntE, 0) AS cntE
, COALECSE(cntM, 0) AS cntM
FROM
AttributeMaster AS a
LEFT JOIN
( SELECT
AttributeId
, COUNT(*) AS cntE
FROM
EmployeeMaster
GROUP BY
AttributeId
) em
ON em.AttributeId = a.AttributeId
LEFT JOIN
( SELECT
AttributeId
, COUNT(*) AS cntM
FROM
MonthlyDerivedMaster
GROUP BY
AttributeId
) mdm
ON mdm.AttributeId = a.AttributeId
SELECT AttributeId,
(SELECT COUNT(Eid) FROM EmployeeMaster WHERE AttributeMaster.AttributeId = EmployeeMaster.AttributeId) as master_eid,
(SELECT COUNT(Eid) FROM MonthnlyDerivedMaster WHERE AttributeMaster.AttributeId = MonthnlyDerivedMaster.AttributeId) as monthly_eid
FROM AttributeMaster
Related
SELECT
tblEmployeeMaster.TeamName, SUM(tblData.Quantity) AS 'TotalQuantity'
FROM
tblData
INNER JOIN
tblEmployeeMaster ON tblData.EntryByHQCode = tblEmployeeMaster.E_HQCode
INNER JOIN
tblPhotos ON tblEmployeeMaster.TeamNo = tblPhotos.TeamNo
WHERE
IsPSR = 'Y'
GROUP BY
tblPhotos.TeamSort, tblPhotos.TeamNo, tblPhotos.Data,
tblEmployeeMaster.TeamName
ORDER BY
tblPhotos.TeamSort DESC, TotalQuantity DESC
This returns
Using this statement
select TeamName, count(TeamName) AS 'Head Count'
from dbo.tblEmployeeMaster
where IsPSR = 'Y'
group by teamname
Which returns
I would like to combine these 2 queries in 1 to get the below result.
Tried union / union all but no success :(
Any help will be very much helpful.
You can simply use the sub-query as follows:
SELECT tblEmployeeMaster.TeamName, SUM(tblData.Quantity) AS 'TotalQuantity',
MAX(HEAD_COUNT) AS HEAD_COUNT, -- USE THIS VALUE FROM SUB-QUERY
CASE WHEN MAX(HEAD_COUNT) <> 0
THEN SUM(tblData.Quantity)/MAX(HEAD_COUNT)
END AS PER_MAN_CONTRIBUTION -- column asked in comment
FROM tblData INNER JOIN
tblEmployeeMaster ON tblData.EntryByHQCode = tblEmployeeMaster.E_HQCode INNER JOIN
tblPhotos ON tblEmployeeMaster.TeamNo = tblPhotos.TeamNo
-- FOLLOWING SUB-QUERY CAN BE USED
LEFT JOIN (select TeamName, count(TeamName) AS HEAD_COUNT
from dbo.tblEmployeeMaster
where IsPSR = 'Y' group by teamname) AS HC
ON HC.TeamName = tblEmployeeMaster.TeamName
where IsPSR = 'Y'
GROUP BY tblPhotos.TeamSort, tblPhotos.TeamNo, tblPhotos.Data,tblEmployeeMaster.TeamName
order by tblPhotos.TeamSort desc, TotalQuantity desc
i'm trying to get a inner join from two select sentences but it doesn't work, what i am doing wrong?
i cant work with internal tables because inner join doesn't permit it.
clear: it_spfli.
refresh: it_spfli.
select
spfli-cityto
spfli-cityfrom
into TABLE it_spfli from(select spfli-cityto COUNT( * )from spfli group by spfli-cityto) as t1
INNER JOIN(select spfli-cityfrom COUNT( * )from spfli group by spfli-cityfrom) as t2
ON t1-cityto = t2-cityfrom.
i expect a table of more frequency city to and city from order by city to with table spfli.
First of all i don't think you are doing the right SELECT to get what you want.
I answer this question from the technical perspective. You can use WITH.
WITH +spf1 AS (
SELECT spfli~cityto AS cityto, COUNT(*) AS count FROM spfli GROUP BY spfli~cityto ) ,
+spf2 AS (
SELECT spfli~cityfrom AS cityfrom , COUNT(*) AS count FROM spfli GROUP BY spfli~cityfrom ) ,
+spf3 AS (
SELECT s1~cityto, s2~cityfrom FROM +spf1 AS s1 INNER JOIN +spf2 AS s2
ON s1~cityto = s2~cityfrom )
SELECT * FROM +spf3 INTO TABLE #DATA(lt_result).
This is my SQL query:
SELECT DISTINCT(ItemId), TCode, PartNumber,ModelNumber, ItemUOM
FROM #Results
This query returns:
ItemId TCode Source PartNumber ModelNumber ItemUOM
-----------------------------------------------------------------
1024 1000 NULL NULL EA
1024 1000 FLEX FLEX EA
#Result is a temp table I have used left join in that query
Why does SELECT DISTINCT return the same ItemID 1024 twice?
SELECT DISTCINT(I.ItemId),
(DENSE_RANK() OVER(ORDER BY I.ItemId ASC)) AS RowNumber,
(I.TCode), E.Name AS Source,
I.GoldenRecordNumber AS GoldenRecordNo, I.ItemCode AS MMRefNo,
I.ShortDescription AS ShortText, I.LongDescription AS POText,
Suppliers.Description AS Manufacturer, Suppliers.Name AS ManufacturerCode,
Suppliers.Abbreviation AS ManufacturerAbbr,
ItemSuppliers.ReferenceNo AS PartNumber, ItemSuppliers.ReferenceNo AS ModelNumber,
UOM.Name AS ItemUOM, MG.Name AS PSGC,
NM.Noun AS ClassName, NM.LongAbbrevation AS ClassDescription
INTO
#Results
FROM
Items I
LEFT JOIN
ItemSuppliers ON I.ItemId = ItemSuppliers.ItemsId
LEFT JOIN
Suppliers ON ItemSuppliers.ManufacturerId = Suppliers.SupplierId
LEFT JOIN
UnitOfMeasurement UOM ON UOM.UOMId = I.UOMId
LEFT JOIN
MaterialGroup MG ON MG.MaterialGroupId = I.MaterialGroupId
LEFT JOIN
NounModifiers NM ON NM.NounModifierId = I.NounModifierId
LEFT JOIN
AutoClass AC ON AC.ClassName = NM.Noun
LEFT JOIN
ERP E ON E.ERPId = I.ERPName
LEFT JOIN
NounModifierAttributes NMA ON NMA.NounModifierId =
NM.NounModifierId
LEFT JOIN
Attributes A ON A.AttributeId = NMA.AttributeId
LEFT JOIN
ItemAttributes IA ON IA.ItemId = I.ItemId
WHERE
(I.ItemCode LIKE '%'+'2001010088'+'%' )
SELECT 'Int' = COUNT(distinct(ItemId))
FROM #Results
WHERE (TCode IS NOT NULL OR MMRefNo IS NOT NULL)
SELECT DISTINCT(ItemId),
TCode, Source, GoldenRecordNo, MMRefNo, ShortText, POText,
Manufacturer, ManufacturerCode, ManufacturerAbbr, PartNumber, ModelNumber,
ItemUOM, PSGC, ClassName, ClassDescription
FROM
#Results
WHERE
(TCode IS NOT NULL OR MMRefNo IS NOT NULL)
AND RowNumber BETWEEN (1-1)*100 + 1 AND (((1-1) * 100 + 1) + 100) - 1
DROP TABLE #Results
if you are convinced the rows which are selected can be grouped together then it should work fine.
1. but if rows are having different data then distinct will not help.
2. use ltrim,rtrim to remove leading and trailing spaces.
example: distinct(ltrim(rtrim(ItemId)))
this will help if it due to spaces or for junk values
The behavior of DISTINCT works as expected. For instance, you could use GROUP BY clause to group them by ItemId, TCode to get top most records
SELECT
ItemId, TCode,
MAX(PartNumber) PartNumber, MAX(ModelNumber) ModelNumber,
MAX(ItemUOM), ...
FROM #Results
GROUP BY ItemId, TCode
In case any failure in GROUP BY clause use ranking function to assign the rank and get the record based on rank value.
Sigh ... can anyone help? In the SQL query below, the results I get are incorrect. There are three (3) labor records in [LaborDetail]
Hours / Cost
2.75 / 50.88
2.00 / 74.00
1.25 / 34.69
There are two (2) material records in [WorkOrderInventory]
Material Cost
42.75
35.94
The issue is that the query incorrectly returns the following:
sFunction cntWO sumLaborHours sumLaborCost sumMaterialCost
ROBOT HARNESS 1 12 319.14 236.07
What am I doing wrong in the query that is causing the sums to be multiplied? The correct values are sumLaborHours = 6, sumLaborCost = 159.57, and sumMaterialCost = 78.69. Thank you for your help.
SELECT CASE WHEN COALESCE(work_orders.location, Work_Orders_Archived.location) IS NULL
THEN '' ELSE COALESCE(work_orders.location, Work_Orders_Archived.location) END AS sFunction,
(SELECT COUNT(*)
FROM work_orders
FULL OUTER JOIN Work_Orders_Archived
ON work_orders.order_number = Work_Orders_Archived.order_number
WHERE COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = '919630') AS cntWO,
SUM(Laborhours) AS sumLaborHours,
SUM(LaborCost) AS sumLaborCost,
SUM(MaterialCost*MaterialQuanity) AS sumMaterialCost
FROM work_orders
FULL OUTER JOIN Work_Orders_Archived
ON work_orders.order_number = Work_Orders_Archived.order_number
LEFT OUTER JOIN
(SELECT HoursWorked AS Laborhours, TotalDollars AS LaborCost, WorkOrderNo
FROM LaborDetail) AS LD
ON COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = LD.WorkOrderNo
LEFT OUTER JOIN
(SELECT UnitCost AS MaterialCost, Qty AS MaterialQuanity, OrderNumber
FROM WorkOrderInventory) AS WOI
ON COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = WOI.OrderNumber
WHERE COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = '919630'
GROUP BY CASE WHEN COALESCE(work_orders.location, Work_Orders_Archived.location) IS NULL
THEN '' ELSE COALESCE(work_orders.location, Work_Orders_Archived.location) END
ORDER BY sFunction
Try using the SUM function inside a derived table subquery when doing the full join to "WorkOrderInventory" like so...
select
...
sum(hrs) as sumlaborhrs,
sum(cost) as sumlaborcost,
-- calculate material cost in subquery
summaterialcost
from labordetail a
full outer join
(select ordernumber, sum(materialcost) as summaterialcost
from WorkOrderInventory
group by ordernumber
) b on a.workorderno = b.ordernumber
i created a simple sql fiddle to demonstrate this (i simplified your query for examples sake)
Looks to me that work_orders and work_orders_archived contains the same thing and you need both tables as if they were one table. So you could instead of joining create a UNION and use it as if it was one table:
select location as sfunction
from
(select location
from work_orders
union location
from work_orders_archived)
Then you use it to join the rest. What DBMS are you on? You could use WITH. But this does not exist on MYSQL.
with wo as
(select location as sfunction, order_number
from work_orders
union location, order_number
from work_orders_archived)
select sfunction,
count(*)
SUM(Laborhours) AS sumLaborHours,
SUM(LaborCost) AS sumLaborCost,
SUM(MaterialCost*MaterialQuanity) AS sumMaterialCost
from wo
LEFT OUTER JOIN
(SELECT HoursWorked AS Laborhours, TotalDollars AS LaborCost, WorkOrderNo
FROM LaborDetail) AS LD
ON COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = LD.WorkOrderNo
LEFT OUTER JOIN
(SELECT UnitCost AS MaterialCost, Qty AS MaterialQuanity, OrderNumber
FROM WorkOrderInventory) AS WOI
ON COALESCE(work_orders.order_number, Work_Orders_Archived.order_number) = WOI.OrderNumber
where wo.order_number = '919630'
group by sfunction
order by sfunction
The best guess is that the work orders appear more than once in one of the tables. Try these queries to check for duplicates in the two most obvious candidate tables:
select cnt, COUNT(*), MIN(order_number), MAX(order_number)
from (select order_number, COUNT(*) as cnt
from work_orders
group by order_number
) t
group by cnt
order by 1;
select cnt, COUNT(*), MIN(order_number), MAX(order_number)
from (select order_number, COUNT(*) as cnt
from work_orders_archived
group by order_number
) t
group by cnt
order by 1;
If either returns a row where cnt is not 1, then you have duplicates in the tables.
I have to do an self join on a table. I am trying to return a list of several columns to see how many of each type of drug test was performed on same day (MM/DD/YYYY) in which there were at least two tests done and at least one of which resulted in a result code of 'UN'.
I am joining other tables to get the information as below. The problem is I do not quite understand how to exclude someone who has a single result row in which they did have a 'UN' result on a day but did not have any other tests that day.
Query Results (Columns)
County, DrugTestID, ID, Name, CollectionDate, DrugTestType, Results, Count(DrugTestType)
I have several rows for ID 12345 which are correct. But ID 12346 is a single row of which is showing they had a row result of count (1). They had a result of 'UN' on this day but they did not have any other tests that day. I want to exclude this.
I tried the following query
select
c.desc as 'County',
dt.pid as 'PID',
dt.id as 'DrugTestID',
p.id as 'ID',
bio.FullName as 'Participant',
CONVERT(varchar, dt.CollectionDate, 101) as 'CollectionDate',
dtt.desc as 'Drug Test Type',
dt.result as Result,
COUNT(dt.dru_drug_test_type) as 'Count Of Test Type'
from
dbo.Test as dt with (nolock)
join dbo.History as h on dt.pid = h.id
join dbo.Participant as p on h.pid = p.id
join BioData as bio on bio.id = p.id
join County as c with (nolock) on p.CountyCode = c.code
join DrugTestType as dtt with (nolock) on dt.DrugTestType = dtt.code
inner join
(
select distinct
dt2.pid,
CONVERT(varchar, dt2.CollectionDate, 101) as 'CollectionDate'
from
dbo.DrugTest as dt2 with (nolock)
join dbo.History as h2 on dt2.pid = h2.id
join dbo.Participant as p2 on h2.pid = p2.id
where
dt2.result = 'UN'
and dt2.CollectionDate between '11-01-2011' and '10-31-2012'
and p2.DrugCourtType = 'AD'
) as derived
on dt.pid = derived.pid
and convert(varchar, dt.CollectionDate, 101) = convert(varchar, derived.CollectionDate, 101)
group by
c.desc, dt.pid, p.id, dt.id, bio.fullname, dt.CollectionDate, dtt.desc, dt.result
order by
c.desc ASC, Participant ASC, dt.CollectionDate ASC
This is a little complicated because the your query has a separate row for each test. You need to use window/analytic functions to get the information you want. These allow you to do calculate aggregation functions, but to put the values on each line.
The following query starts with your query. It then calculates the number of UN results on each date for each participant and the total number of tests. It applies the appropriate filter to get what you want:
with base as (<your query here>)
select b.*
from (select b.*,
sum(isUN) over (partition by Participant, CollectionDate) as NumUNs,
count(*) over (partition by Partitipant, CollectionDate) as NumTests
from (select b.*,
(case when result = 'UN' then 1 else 0 end) as IsUN
from base
) b
) b
where NumUNs <> 1 or NumTests <> 1
Without the with clause or window functions, you can create a particularly ugly query to do the same thing:
select b.*
from (<your query>) b join
(select Participant, CollectionDate, count(*) as NumTests,
sum(case when result = 'UN' then 1 else 0 end) as NumUNs
from (<your query>) b
group by Participant, CollectionDate
) bsum
on b.Participant = bsum.Participant and
b.CollectionDate = bsum.CollectionDate
where NumUNs <> 1 or NumTests <> 1
If I understand the problem, the basic pattern for this sort of query is simply to include negating or exclusionary conditions in your join. I.E., self-join where columnA matches, but columns B and C do not:
select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
and t1.PkId != t2.PkId
and t1.category != t2.category
)
Put the conditions in the WHERE clause if it benchmarks better:
select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
)
where
t1.PkId != t2.PkId
and t1.category != t2.category
And it's often easiest to start with the self-join, treating it as a "base table" on which to join all related information:
select
[columns]
from
(select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
)
where
t1.PkId != t2.PkId
and t1.category != t2.category
) bt
join [othertable] on (<whatever>)
join [othertable] on (<whatever>)
join [othertable] on (<whatever>)
This can allow you to focus on getting that self-join right, without interference from other tables.