I have this two query
1.
select CL_Clients.cl_id,CL_Clients].cl_name,COUNT(*) AS number_of_orders
from CL_Clients,CLOI_ClientOrderItems
where CL_Clients.cl_id=CLOI_ClientOrderItems.cl_id
group by CL_Clients.cl_name,CL_Clients.cl_id
2.
select CL_Clients.cl_id,count(cloi_current_status) as dis
from CLOI_ClientOrderItems,CL_Clients
where cloi_current_status]='12'
and CL_Clients.cl_id=CLOI_ClientOrderItems.cl_id
group by CL_Clients.cl_name,CL_Clients.cl_id,CLOI_ClientOrderItems.cloi_current_status
i have this column i need to put count function and where condition
[cloi_current_status]
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Quite simple, you just encapsulate the queries and give their result sets an alias and then do a JOIN between their aliases on the column that is common. (In the query below I assume you'll be joining by client id)
SELECT *
FROM (
SELECT CL_Clients.cl_id,
CL_Clients].cl_name,
COUNT(*) AS number_of_orders
FROM CL_Clients,
CLOI_ClientOrderItems
WHERE CL_Clients.cl_id = CLOI_ClientOrderItems.cl_id
GROUP BY CL_Clients.cl_name,
CL_Clients.cl_id
) A
INNER JOIN (
SELECT CL_Clients.cl_id,
count(cloi_current_status) AS dis
FROM CLOI_ClientOrderItems,
CL_Clients
WHERE cloi_current_status] = '12'
AND CL_Clients.cl_id = CLOI_ClientOrderItems.cl_id
GROUP BY CL_Clients.cl_name,
CL_Clients.cl_id,
CLOI_ClientOrderItems.cloi_current_status
) B
ON A.cl_id = B.cl_id
WHERE ...
GROUP BY ...
This will be treated as a separate result set, so you can also filter results with a WHERE or just a GROUP BY, just like in a normal SELECT.
UPDATE:
To answer the question in your comments, when you join two tables that have a column with the same value and use
SELECT * FROM A INNER JOIN B the * will show all columns returned by the join, meaning all columns from A and all columns from B, this is why you have duplicate columns.
If you want to filter the columns returned you can specifiy which columns you want returned. So, in your case, the top SELECT * can be replaced with
SELECT A.cl_id, A.cl_name, A.number_of_orders, B.dis so, your query becomes:
SELECT A.cl_id, A.cl_name, A.number_of_orders, B.dis
FROM (
SELECT CL_Clients.cl_id,
CL_Clients].cl_name,
COUNT(*) AS number_of_orders
FROM CL_Clients,
CLOI_ClientOrderItems
WHERE CL_Clients.cl_id = CLOI_ClientOrderItems.cl_id
GROUP BY CL_Clients.cl_name,
CL_Clients.cl_id
) A
INNER JOIN (
SELECT CL_Clients.cl_id,
count(cloi_current_status) AS dis
FROM CLOI_ClientOrderItems,
CL_Clients
WHERE cloi_current_status] = '12'
AND CL_Clients.cl_id = CLOI_ClientOrderItems.cl_id
GROUP BY CL_Clients.cl_name,
CL_Clients.cl_id,
CLOI_ClientOrderItems.cloi_current_status
) B
ON A.cl_id = B.cl_id
UPDATE #2:
For your last question, you need to GROUP BY at the end of the big query and use a HAVING condtion, like this:
GROUP BY A.cl_id, A.cl_name, A.number_of_orders, B.dis
HAVING COUNT(cloi_current_status) > 100
All depends on what data you are trying to get, but you can go about it like this.
SELECT Column_x, Column_y, etc..
FROM ClL_Clients a
JOIN (select CL_Clients.cl_id,CL_Clients].cl_name,COUNT(*) AS number_of_orders
from CL_Clients,CLOI_ClientOrderItems
where CL_Clients.cl_id=CLOI_ClientOrderItems.cl_id
group by CL_Clients.cl_name,CL_Clients.cl_id) b
on a.cl_id = b.cl_id
JOIN (select CL_Clients.cl_id,count(cloi_current_status) as dis
from CLOI_ClientOrderItems,CL_Clients
where cloi_current_status]='12'
and CL_Clients.cl_id=CLOI_ClientOrderItems.cl_id
group by CL_Clients.cl_name,CL_Clients.cl_id,CLOI_ClientOrderItems.cloi_current_status) c
on a.cl_id = c.cl_id
Group by BLAH BLAH
Hope this gets you in the right direction.
Related
I have the following query and it works perfectly and gives me 200 rows. However, I wanted to retrieve additional fields from ExecutionLogStorage table. When I added ExecutionLogStorage.TimeStart, ExecutionLogStorage.TimeDataRetrieval with group by the result is 8,000+ rows. How can I retrieve the latest date (Max of the date) and still keep 200 rows of data.
Select * from (
SELECT ExecutionLogStorage.ReportID, COUNT(*) AS HitCount, Catalog.Name, ExecutionLogStorage.UserName
FROM [SP_RPT_SVC].[dbo].ExecutionLogStorage INNER JOIN
Catalog ON [SP_RPT_SVC].[dbo].ExecutionLogStorage.ReportID = Catalog.ItemID
where Catalog.[Type] = 2
GROUP BY ExecutionLogStorage.ReportID, Catalog.Name, ExecutionLogStorage.UserName) X
LEFT Join
(SELECT [Id]
,[DirName]
,[LeafName]
FROM [SP_BI].[dbo].[AllDocs]) Y
on
Y.ID = X.ReportID
LEFT Join
(SELECT [NTName],[PreferredName]
FROM [SP_ProfileDB].[dbo].[UserProfile_Full]) Z
ON
X.UserName = Z.NTName
How can I retrieve the latest date (Max of the date) and still keep 200 rows of data.
No need to modify the GROUP BY clause: just add more aggregate functions to your inner query:
SELECT *
FROM (
SELECT
ExecutionLogStorage.ReportID,
COUNT(*) AS HitCount,
Catalog.Name,
ExecutionLogStorage.UserName,
MAX(ExecutionLogStorage.TimeStart) MaxTimeStart --> here,
MAX(ExecutionLogStorage.TimeDataRetrieval) MaxTimeDataRetrieval --> and here
FROM [SP_RPT_SVC].[dbo].ExecutionLogStorage
INNER JOIN Catalog
ON [SP_RPT_SVC].[dbo].ExecutionLogStorage.ReportID = Catalog.ItemID
WHERE Catalog.[Type] = 2
GROUP BY
ExecutionLogStorage.ReportID,
Catalog.Name,
ExecutionLogStorage.UserName
) X
LEFT JOIN ...
I was wondering if anyone can help me with this query.
I have two tables that I join together (DDS2ENVR.QBO AND KCA0001.ORTS)
THE QBO Table has a field labeled NIIN AND RIC. THE KCA0001.ORTS table has a field named SERVICE and OWN_RIC.
I Join the tables by QBO.RIC and ORTS.OWN_RIC. My dilemma is that under the NIIN field multiple rows can be identical but have different values for RIC.
Example:
NIIN RIC
123455 A
122222 B
123456 C
122222 A
I want to query a distinct count for NIINS that separates by the different service where it does not overlap. So example NIIN should only find distinct values only associated with A where the same NIIN is not found in B,C,D etc.
SELECT D.SERVICE, COUNT(C.NIIN)
FROM DDS2ENVR.QBO C
JOIN KCA0001.ORTS D ON D.OWN_RIC = C.RIC
WHERE C.SITE_ID = ('HEAA')
GROUP BY D.SERVICE
HAVING COUNT(DISTINCT C.NIIN) > 1
Please ask questions if this does not make any sense.
Using Not Exists
SELECT D.SERVICE, COUNT(C.NIIN)
FROM DDS2ENVR.QBO C
JOIN KCA0001.ORTS D ON D.OWN_RIC = C.RIC
WHERE C.SITE_ID = ('HEAA')
and NOT EXISTS (Select 1 from DDS2ENVR.QBO C1 where C1.NIIN = C.NIIN and C1.RIC <> C.RIC)
GROUP BY D.SERVICE
HAVING COUNT(DISTINCT C.NIIN) > 1
Also if the table DDS2ENVR.QBO doesn't contain duplicates and your dbms supports CTE
With cte as
(Select NIIN from DDS2ENVR.QBO group by NIIN having count(*) = 1)
SELECT D.SERVICE, COUNT(C.NIIN)
FROM DDS2ENVR.QBO C
JOIN KCA0001.ORTS D ON D.OWN_RIC = C.RIC
WHERE C.SITE_ID = ('HEAA')
and C.NIIN in (Select * from cte)
GROUP BY D.SERVICE
HAVING COUNT(DISTINCT C.NIIN) > 1
I'm trying to create a query so that I can have a column show Y/N if a particular item was ordered for a group of orders. The item I'm looking for would be OLI.id = '538'.
So my results would be:
Order#, Customer#, FreightPaid
12345, 00112233, Y
12346, 00112233, N
I cannot figure out if I need to use a subquery or the where exists function ?
Here's my current query:
SELECT distinct
OrderID,
Accountuid as Customerno
FROM [SMILEWEB_live].[dbo].[OrderLog] OL
inner join Orderlog_item OLI on OLI.orderlogkey = OL.[key]
inner join Account A on A.uid = OL.Accountuid
where A.GroupId = 'X9955'
and OL.CreateDate >= GETDATE() - 60
I would suggest an exists clause instead of a join:
select ol.OrderID, ol.Accountuid as Customerno,
(case when exists (select 1
from Orderlog_item OLI join
Account A
on A.uid = OL.Accountuid
where OLI.orderlogkey = OL.[key] and A.GroupId = 'X9955'
)
then 1 else 0
end) as flag
from [SMILEWEB_live].[dbo].[OrderLog] OL
where OL.CreateDate >= GETDATE() - 60;
This prevents a couple of problems. First, duplicate rows which are caused when there are multiple matching rows (and select distinct add unnecessary overhead). Second, missing rows, which happen when you use inner join instead of an outer join.
I have 2 SQL query.
query 1
select file_number_fk,sent_date as submitted_date from fl_file_movement
where sent_by_post_fk='735'
and file_number_fk='98223'
query 2
select file_number_fk,received_date as received_date from fl_file_movement
where recipient_post_fk='735'
and file_number_fk='98223'
each query return a table with 7 rows
when i try to join them i getting 49 rows
select distinct a.file_number_fk,
a.received_date,
b.submitted_date from(
select file_number_fk,received_date as received_date from fl_file_movement
where recipient_post_fk='735'
and file_number_fk='98223')a LEFT JOIN (
select file_number_fk,sent_date as submitted_date from fl_file_movement
where sent_by_post_fk='735'
and file_number_fk='98223')b ON a.file_number_fk=b.file_number_fk
i want a joined table with 7 rows. how to do this
I think your JOIN condition is not specific enough, as both of your query have equal on two fields and your JOIN has equal on only one of them, thus multiplying the result:
select distinct a.file_number_fk, a.received_date, b.submitted_date
from (select file_number_fk, received_date as received_date
from fl_file_movement
where recipient_post_fk='735' and file_number_fk='98223') a
LEFT JOIN (
select file_number_fk,sent_date as submitted_date
from fl_file_movement
where sent_by_post_fk='735'
and file_number_fk='98223') b
ON a.file_number_fk=b.file_number_fk AND a.recipient_post_fk = b.file_number_fk
The above query is basically what you have provided + extra JOIN condition + improved readability. I think that DISTINCT can be removed in this case.
Also, you can also solve this with SELF JOIN. Something like this:
SELECT src.file_number_fk, src.received_date, dest.submitted_date
FROM fl_file_movement src
JOIN fl_file_movement dest ON dest.recipient_post_fk = src.sent_by_post_fk and src.file_number_fk = dest.file_number_fk
WHERE dest.recipient_post_fk = '735' AND src.file_number_fk = '98223'
I have the following query:
SELECT sum((select count(*) as itemCount) * "SalesOrderItems"."price") as amount, 'rma' as
"creditType", "Clients"."company" as "client", "Clients".id as "ClientId", "Rmas".*
FROM "Rmas" JOIN "EsnsRmas" on("EsnsRmas"."RmaId" = "Rmas"."id")
JOIN "Esns" on ("Esns".id = "EsnsRmas"."EsnId")
JOIN "EsnsSalesOrderItems" on("EsnsSalesOrderItems"."EsnId" = "Esns"."id" )
JOIN "SalesOrderItems" on("SalesOrderItems"."id" = "EsnsSalesOrderItems"."SalesOrderItemId")
JOIN "Clients" on("Clients"."id" = "Rmas"."ClientId" )
WHERE "Rmas"."credited"=false AND "Rmas"."verifyStatus" IS NOT null
GROUP BY "Clients".id, "Rmas".id;
The problem is that the table "EsnsSalesOrderItems" can have the same EsnId in different entries. I want to restrict the query to only pull the last entry in "EsnsSalesOrderItems" that has the same "EsnId".
By "last" entry I mean the following:
The one that appears last in the table "EsnsSalesOrderItems". So for example if "EsnsSalesOrderItems" has two entries with "EsnId" = 6 and "createdAt" = '2012-06-19' and '2012-07-19' respectively it should only give me the entry from '2012-07-19'.
SELECT (count(*) * sum(s."price")) AS amount
, 'rma' AS "creditType"
, c."company" AS "client"
, c.id AS "ClientId"
, r.*
FROM "Rmas" r
JOIN "EsnsRmas" er ON er."RmaId" = r."id"
JOIN "Esns" e ON e.id = er."EsnId"
JOIN (
SELECT DISTINCT ON ("EsnId") *
FROM "EsnsSalesOrderItems"
ORDER BY "EsnId", "createdAt" DESC
) es ON es."EsnId" = e."id"
JOIN "SalesOrderItems" s ON s."id" = es."SalesOrderItemId"
JOIN "Clients" c ON c."id" = r."ClientId"
WHERE r."credited" = FALSE
AND r."verifyStatus" IS NOT NULL
GROUP BY c.id, r.id;
Your query in the question has an illegal aggregate over another aggregate:
sum((select count(*) as itemCount) * "SalesOrderItems"."price") as amount
Simplified and converted to legal syntax:
(count(*) * sum(s."price")) AS amount
But do you really want to multiply with the count per group?
I retrieve the the single row per group in "EsnsSalesOrderItems" with DISTINCT ON. Detailed explanation:
Select first row in each GROUP BY group?
I also added table aliases and formatting to make the query easier to parse for human eyes. If you could avoid camel case you could get rid of all the double quotes clouding the view.
Something like:
join (
select "EsnId",
row_number() over (partition by "EsnId" order by "createdAt" desc) as rn
from "EsnsSalesOrderItems"
) t ON t."EsnId" = "Esns"."id" and rn = 1
this will select the latest "EsnId" from "EsnsSalesOrderItems" based on the column creation_date. As you didn't post the structure of your tables, I had to "invent" a column name. You can use any column that allows you to define an order on the rows that suits you.
But remember the concept of the "last row" is only valid if you specifiy an order or the rows. A table as such is not ordered, nor is the result of a query unless you specify an order by
Necromancing because the answers are outdated.
Take advantage of the LATERAL keyword introduced in PG 9.3
left | right | inner JOIN LATERAL
I'll explain with an example:
Assuming you have a table "Contacts".
Now contacts have organisational units.
They can have one OU at a point in time, but N OUs at N points in time.
Now, if you have to query contacts and OU in a time period (not a reporting date, but a date range), you could N-fold increase the record count if you just did a left join.
So, to display the OU, you need to just join the first OU for each contact (where what shall be first is an arbitrary criterion - when taking the last value, for example, that is just another way of saying the first value when sorted by descending date order).
In SQL-server, you would use cross-apply (or rather OUTER APPLY since we need a left join), which will invoke a table-valued function on each row it has to join.
SELECT * FROM T_Contacts
--LEFT JOIN T_MAP_Contacts_Ref_OrganisationalUnit ON MAP_CTCOU_CT_UID = T_Contacts.CT_UID AND MAP_CTCOU_SoftDeleteStatus = 1
--WHERE T_MAP_Contacts_Ref_OrganisationalUnit.MAP_CTCOU_UID IS NULL -- 989
-- CROSS APPLY -- = INNER JOIN
OUTER APPLY -- = LEFT JOIN
(
SELECT TOP 1
--MAP_CTCOU_UID
MAP_CTCOU_CT_UID
,MAP_CTCOU_COU_UID
,MAP_CTCOU_DateFrom
,MAP_CTCOU_DateTo
FROM T_MAP_Contacts_Ref_OrganisationalUnit
WHERE MAP_CTCOU_SoftDeleteStatus = 1
AND MAP_CTCOU_CT_UID = T_Contacts.CT_UID
/*
AND
(
(#in_DateFrom <= T_MAP_Contacts_Ref_OrganisationalUnit.MAP_KTKOE_DateTo)
AND
(#in_DateTo >= T_MAP_Contacts_Ref_OrganisationalUnit.MAP_KTKOE_DateFrom)
)
*/
ORDER BY MAP_CTCOU_DateFrom
) AS FirstOE
In PostgreSQL, starting from version 9.3, you can do that, too - just use the LATERAL keyword to achieve the same:
SELECT * FROM T_Contacts
--LEFT JOIN T_MAP_Contacts_Ref_OrganisationalUnit ON MAP_CTCOU_CT_UID = T_Contacts.CT_UID AND MAP_CTCOU_SoftDeleteStatus = 1
--WHERE T_MAP_Contacts_Ref_OrganisationalUnit.MAP_CTCOU_UID IS NULL -- 989
LEFT JOIN LATERAL
(
SELECT
--MAP_CTCOU_UID
MAP_CTCOU_CT_UID
,MAP_CTCOU_COU_UID
,MAP_CTCOU_DateFrom
,MAP_CTCOU_DateTo
FROM T_MAP_Contacts_Ref_OrganisationalUnit
WHERE MAP_CTCOU_SoftDeleteStatus = 1
AND MAP_CTCOU_CT_UID = T_Contacts.CT_UID
/*
AND
(
(__in_DateFrom <= T_MAP_Contacts_Ref_OrganisationalUnit.MAP_KTKOE_DateTo)
AND
(__in_DateTo >= T_MAP_Contacts_Ref_OrganisationalUnit.MAP_KTKOE_DateFrom)
)
*/
ORDER BY MAP_CTCOU_DateFrom
LIMIT 1
) AS FirstOE
Try using a subquery in your ON clause. An abstract example:
SELECT
*
FROM table1
JOIN table2 ON table2.id = (
SELECT id FROM table2 WHERE table2.table1_id = table1.id LIMIT 1
)
WHERE
...