I am crating a view to display records with contract dates in them.
The data for this view comes from two tables, one which stores the client details and another which stores the date info.
The dates themeselves are stored in the DateCol column and the ID for the DateCol column comes from TypeID eg 118 equals a Contract Start Date and 119 equals an End date.
This returns about 250 results.
The view I have built runs a lookup against the client id and shows the date from the date_type(ie 118 and 119 shows 01/01/2012 and 01/03/2012). If I add a third column that shows me 120, the total number of results is reduced to 6.
I need to see all the results but im not sure how to build a view that shows all of these. I cant modify the original database as it is a backed for Maximizer.
We are using SQL 2005 and I have built this using the Management STudio but my knowledge is a bit limited.
This is the code for my view:
SELECT *
FROM dbo.AMGR_Client_Tbl
INNER JOIN dbo.FOOTPRINTS_Companies_118
ON dbo.AMGR_Client_Tbl.Client_Id =
dbo.FOOTPRINTS_Companies_118.Client_Id
INNER JOIN dbo.FOOTPRINTS_Companies_119
ON dbo.AMGR_Client_Tbl.Client_Id =
dbo.FOOTPRINTS_Companies_119.Client_Id
INNER JOIN dbo.FOOTPRINTS_Companies_120
ON dbo.AMGR_Client_Tbl.Client_Id =
dbo.FOOTPRINTS_Companies_120.Client_Id
INNER JOIN dbo.FOOTPRINTS_Companies_121
ON dbo.AMGR_Client_Tbl.Client_Id =
dbo.FOOTPRINTS_Companies_121.Client_Id
WHERE ( dbo.AMGR_Client_Tbl.Record_Type = '1' ) AND ( dbo.AMGR_Client_Tbl.Name_Type = 'C' )
OR ( dbo.AMGR_Client_Tbl.Record_Type = '1' ) AND ( dbo.AMGR_Client_Tbl.Name_Type = 'C' )
Ok, First of all you should list the actual column names that you need on your view and not use *. I believe that you just need to change the INNER JOINs for LEFT JOINs. So it would be like this:
SELECT [List Your Columns Here]
FROM dbo.AMGR_Client_Tbl
LEFT JOIN dbo.FOOTPRINTS_Companies_118
ON dbo.AMGR_Client_Tbl.Client_Id =
dbo.FOOTPRINTS_Companies_118.Client_Id
LEFT JOIN dbo.FOOTPRINTS_Companies_119
ON dbo.AMGR_Client_Tbl.Client_Id =
dbo.FOOTPRINTS_Companies_119.Client_Id
LEFT JOIN dbo.FOOTPRINTS_Companies_120
ON dbo.AMGR_Client_Tbl.Client_Id =
dbo.FOOTPRINTS_Companies_120.Client_Id
LEFT JOIN dbo.FOOTPRINTS_Companies_121
ON dbo.AMGR_Client_Tbl.Client_Id =
dbo.FOOTPRINTS_Companies_121.Client_Id
WHERE ( dbo.AMGR_Client_Tbl.Record_Type = '1' ) AND ( dbo.AMGR_Client_Tbl.Name_Type = 'C' )
OR ( dbo.AMGR_Client_Tbl.Record_Type = '1' ) AND ( dbo.AMGR_Client_Tbl.Name_Type = 'C' )
Also, you should note that on your WHERE there seems to be a duplicated condition.
Related
I have a procedure that populates two sets of application information into the same fields. First the fields are filled out with applicable accounts from group "A" and then the same process happens for group "B" accounts.
Most of the group B fields are filled in by a insert/select statement. However, the query to select "account number" is a little more complex and that is in an UPDATE statement. I will paste the code below but I cannot get it to properly update the rows (for group B) with account numbers, despite the fact the query works on its own outside the procedure (essentially, the account numbers do exist).
Any idea why? I tried adding a case statement to single out group B rows (the where clause is hardcoded for group B... e.g. clfcode = 3) but that didn't work. Let me know if you need more information. I haven't much experience with update statements in stored procedures.
update src
set account_key = case when src.clfcode = 3 and src.branch_key = 12 then a.account_key else src.account_key end
from #src_table src
inner join SDFDW_Landing.cu.FICS_ms_Investor_Loan l
on l.loan_id = src.application_number
left join dm.dim_product p
on p.product_key = src.product_key
left join (
Select Distinct t.PARENTACCOUNT, t.USERCHAR1 as loan_id
from SDFDW_Landing.dbo.tracking t
where t.TYPE = 1
and t.ProcessDate = #v_max_last_processed_date
and t.USERCHAR1 is not null
) t on t.loan_id = l.loan_id
left join dm.dim_account a
on t.PARENTACCOUNT = a.account_nkey
WHERE p.bdw_report_category = 'Mortgage'
and l.processdate = #v_max_last_processed_date
The join on a subquery might cause the issue. You could try to replace it with an apply and see if that helps.
update
src
set
account_key =
case
when
src.clfcode = 3
and src.branch_key = 12
then
a.account_key
else
src.account_key
end
from
#src_table src
inner join
SDFDW_Landing.cu.FICS_ms_Investor_Loan l
on l.loan_id = src.application_number
left join
dm.dim_product p
on p.product_key = src.product_key
outer apply (
Select
acc.*
from
dm.dim_account acc
inner join
SDFDW_Landing.dbo.tracking t
on acc.account_nkey = t.parentaccount
where
t.TYPE = 1
and t.ProcessDate = #v_max_last_processed_date
and t.USERCHAR1 is not null
and t.loan_id = l.loan_id
) a
WHERE
p.bdw_report_category = 'Mortgage'
and l.processdate = #v_max_last_processed_date
alternatively since you are already within a stored procedure, I'd populate a temp table with the data from your subquery and simply join on that temp table from your update statement.
I have a query where I am looking into three different tables and for the purposes of this post I only need to see three columns; RecordID, FieldType and Tranid. The Record ID can have multiple Field types and each field type will have a distinct tranid.
What I am trying to do is grab all the entire set of data if any of the Field Types = 'CO'
SELECT
Header.RecordID,
Detail.FieldType,
Header.TranID
FROM Header
INNER JOIN (select * from Detail where fieldtype = 'CO') as Detail
ON Header.RecordID = Detail.RecordID
INNER JOIN TranDef ON Header.TranID = TranDef.TranID
WHERE
(Header.CalendarDate BETWEEN GETDATE() - 10 AND GETDATE())
But this is not working. I'm only getting one row of data back, where as I said, I want all the data for the record, not just the one row. What am I doing wrong here?
Your query does not work because it limits the rows selected from Detail to these with fieldtype = 'CO', and inner joins to it.
It looks like you are looking for a WHERE EXISTS query:
SELECT
h.RecordID,
d.FieldType,
h.TranID
FROM
Branch b
INNER JOIN
Header h ON b.BranchID = h.BranchID
INNER JOIN
Detail d ON h.RecordID = d.RecordID
WHERE (h.CalendarDate BETWEEN GETDATE() - 10 AND GETDATE())
AND EXISTS (
SELECT *
FROM Detail dd
WHERE dd.RecordID = h.RecordID AND dd.fieldtype = 'CO'
)
The idea is to join to all Detail records, and then filter the result based on existence or non-existence of 'CO' records among the Detail rows linked to the corresponding Header row.
You can try including the below in the WHERE criteria:
SELECT RecordID, FieldType, TranID
FROM Branch br, Header hr, Region rgn
WHERE br.FieldType = 'CO' and
hr.FieldType = 'CO' and
rgn.FieldType = 'CO'
I feel like your making this more complicated than it should be. Perhaps try the following? I know I've done similiar things in the past.
SELECT
h.RecordID,
d.FieldType,
h.TranID
FROM Header as h
INNER JOIN Branch as b on b.BranchID = h.BranchID
INNER JOIN Detail as d on d.RecordID = h.RecordID
WHERE
(h.CalendarDate BETWEEN GETDATE() - 10 AND GETDATE())
and d.fieldtype = 'CO'
I am currently joining two tables based on Claim_Number and Customer_Number.
SELECT
A.*,
B.*,
FROM Company.dbo.Company_Master AS A
LEFT JOIN Company.dbp.Compound_Info AS B ON A.Claim_Number = B.Claim_Number AND A.Customer_Number = B.Customer_Number
WHERE A.Filled_YearMonth = '201312' AND A.Compound_Ind = 'Y'
This returns exactly the data I'm looking for. The problem is that I now need to join to another table to get information based on a Product_ID. This would be easy if there was only one Product_ID in the Compound_Info table for each record. However, there are 10. So basically I need to SELECT 10 additional columns for Product_Name based on each of those Product_ID's that are being selected already. How can do that? This is what I was thinking in my head, but is not working right.
SELECT
A.*,
B.*,
PD_Info_1.Product_Name,
PD_Info_2.Product_Name,
....etc {Up to 10 Product Names}
FROM Company.dbo.Company_Master AS A
LEFT JOIN Company.dbo.Compound_Info AS B ON A.Claim_Number = B.Claim_Number AND A.Customer_Number = B.Customer_Number
LEFT JOIN Company.dbo.Product_Info AS PD_Info_1 ON B.Product_ID_1 = PD_Info_1.Product_ID
LEFT JOIN Company.dbo.Product_Info AS PD_Info_2 ON B.Product_ID_2 = PD_Info_2.Product_ID
.... {Up to 10 LEFT JOIN's}
WHERE A.Filled_YearMonth = '201312' AND A.Compound_Ind = 'Y'
This query not only doesn't return the correct results, it also takes forever to run. My actual SQL is a lot longer and I've changed table names, etc but I hope that you can get the idea. If it matters, I will be creating a view based on this query.
Please advise on how to select multiple columns from the same table correctly and efficiently. Thanks!
I found put my extra stuff into CTE and add ROW_NUMBER to insure that I get only 1 row that I care about. it would look something like this. I only did for first 2 product info.
WITH PD_Info
AS ( SELECT Product_ID
,Product_Name
,Effective_Date
,ROW_NUMBER() OVER ( PARTITION BY Product_ID, Product_Name ORDER BY Effective_Date DESC ) AS RowNum
FROM Company.dbo.Product_Info)
SELECT A.*
,B.*
,PD_Info_1.Product_Name
,PD_Info_2.Product_Name
FROM Company.dbo.Company_Master AS A
LEFT JOIN Company.dbo.Compound_Info AS B
ON A.Claim_Number = B.Claim_Number
AND A.Customer_Number = B.Customer_Number
LEFT JOIN PD_Info AS PD_Info_1
ON B.Product_ID_1 = PD_Info_1.Product_ID
AND B.Fill_Date >= PD_Info_1.Effective_Date
AND PD_Info_2.RowNum = 1
LEFT JOIN PD_Info AS PD_Info_2
ON B.Product_ID_2 = PD_Info_2.Product_ID
AND B.Fill_Date >= PD_Info_2.Effective_Date
AND PD_Info_2.RowNum = 1
I have a table called Member_Id which has a column in it called Member_ID_Type. The select statement below returns the value of another column, id_value from the same table. The join on the tables in the select statement is on the universal id column. There may be several entries in that table with this same universal id.
I want to adjust the select statement so that it will return the id_values for entries that have member_id_type equal to '7'. However if this is null then I want to return records that have member_id_type equal to '1'
So previously I had a condition on the join (commented out below) but that just returned records that had member_id_type equal to '7' and otherwise returned null.
I think I may have to use a case statement here but I'm not 100% sure how to use it in this scenario
SELECT TOP 1 cm.Contact_Relation_Gid,
mc.Universal_ID,
mi.ID_Value,
cm.First_Name,
cm.Last_Name,
cm.Middle_Name,
cm.Name_Suffix,
cm.Email_Address,
cm.Disability_Type_PKID,
cm.Race_Type_PKID,
cm.Citizenship_Type_PKID,
cm.Marital_Status_Type_PKID,
cm.Actual_SSN,
cm.Birth_Date,
cm.Gender,
mc.Person_Code,
mc.Relationship_Code,
mc.Member_Coverage_PKID,
sc.Subscriber_Coverage_PKID,
FROM Contact_Member cm (NOLOCK)
INNER JOIN Member_Coverage mc (NOLOCK)
ON cm.contact_relation_gid = mc.contact_relation_gid
AND mc.Record_Status = 'A'
INNER JOIN Subscriber_Coverage sc (NOLOCK)
ON mc.Subscriber_Coverage_PKID = sc.Subscriber_Coverage_PKID
AND mc.Record_Status = 'A'
LEFT outer JOIN Member_ID mi ON mi.Universal_ID = cm.Contact_Gid
--AND mi.Member_ID_Type_PKID='7'
WHERE cm.Contact_Relation_Gid = #Contact_Relation_Gid
AND cm.Record_Status = 'A'
Join them both, and use one if the other is not present:
select bt.name
, coalesce(eav1.value, eav2.value) as Value1OrValue2
from BaseTable bt
left join EavTable eav1
on eav1.id = bt.id
and eav1.type = 1
left join EavTable eav2
on eav2.id = bt.id
and eav2.type = 2
This query assumes that there is never more than one record with the same ID and Type.
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
...