Compare dates from 2 separate sql queries - sql

For an application we have, it is incorrectly listing the last access date and I'm trying tp get it updated.
To see what the date it is currently showing I can do;
select LoginID, ActionDate
From LoginHistory
Now to see what the date should actually be I'm doing:
select lg.UserName, lg.LoginID, lg.Activated, id.Title, max(ih.ActionedDate) as LastAccessed
from Login lg
left join (
ItemLoginAssociation la
join ItemView id
on id.ItemId = la.ItemID
) on la.LoginID = lg.LoginID
left join ItemHistory ih
on id.ItemId = ih.ActionedBy and id.VersionRank =1
where action= 'View'
group by lg.UserName, lg.LoginID, lg.Activated, id.Title
order by LastAccessed
What I would like to do is compare the ActionDate from the first query and the LastAccessed date from the second query by the loginID and if the date in the second query is more recent than the date in the first one, replace the first query date with the second query date if that makes sense?
How can I go about doing that?

You can left join your second query:
select lh.LoginID, lh.ActionDate, x.LastAccessed
From LoginHistory lh
left join (
select lg.UserName, lg.LoginID, lg.Activated, id.Title, max(ih.ActionedDate) as LastAccessed
from Login lg
left join (
ItemLoginAssociation la
join ItemView id
on id.ItemId = la.ItemID
) on la.LoginID = lg.LoginID
left join ItemHistory ih
on id.ItemId = ih.ActionedBy and id.VersionRank =1
where action= 'View'
group by lg.UserName, lg.LoginID, lg.Activated, id.Title
-- order by LastAccessed
) x on x.loginID = lh.LoginID
The order by is commented because ordering a sub-query is pretty useless.
P.S. If both queries work on your DBMS, this query should work too, because it's pretty standard SQL.

Related

SQL Inner Join and nearest row to date

I dont't get it. I changed some of the code. In the WPLEVENT Table are a lot of Events per person. In the Persab-Table are the Persons with their History. Now I need the from the Persab Table just that row wich matches the persab.gltab Date nearest to the WPLEVENT.vdat Date. So all rows from the WPLEVENT, but just the one matching row from the PERSAB-Table.
SELECT
persab.name,
persab.vorname,
vdat,
eventstart,
persab.rc1,
persab.rc2
FROM wplevent
INNER JOIN
persab ON WPLEVENT.PersID = persab.PRIMKEY
INNER JOIN
(SELECT TOP 1 persab.rc1
FROM PERSAB
WHERE persab.gltab <= getdate() --/ Should be wplevent.vdat instead of getdate()
) NewTable ON wplevent.persid = persab.primkey
WHERE
persid ='100458'
ORDER BY vdat DESC
Need to use the MAX() function with the proper syntax by supplying an expression like MAX(persab.rc1). Also need to use GROUP BY for the second column rc2 in the subquery (although it looks like you do not need it). Finally you are missing the ON clause for the final INNER JOIN. I can update the answer to fix the query if you provide that information.
SELECT
Z1PERS.NAME
, Z1PERS.VORNAME
, WPLEVENT.VDat
, WPLEVENT.EventStart
, WPLEVENT.EventStop
, WPLEVENT.PEPGROUP
, Z1SGRP.TXXT
, PERSAB.GLTAB
, Z1PERS.PRIMKEY AS Expr1
, PERSAB.PRIMKEY
FROM
Z1PERS
INNER JOIN
WPLEVENT ON Z1PERS.PRIMKEY = WPLEVENT.PersID
INNER JOIN
Z1SGRP ON WPLEVENT.PEPGROUP = Z1SGRP.GRUPPE
INNER JOIN
(
SELECT MAX(Persab.rc1) --Fixed MAX expression
, persab.rc2
FROM
persab
GROUP BY
persab.rc2 --Need to group on rc2 if you want that column in the query otherwise remove this AND the rc2 column from select list
WHERE
WPLEVENT.PersID = PERSAB.PRIMKEY
AND WPLEVENT.VDat <= PERSAB.GLTAB
) --Missing ON clause for the INNER JOIN here
WHERE z1pers.vorname = 'henning'

How select from query inside case in select

I have following query
SELECT DISTINCT v.id,
( CASE
WHEN date IS NULL THEN v.o_id
ELSE (SELECT os
FROM (SELECT o_id1 os
FROM tablet t2
WHERE t2.vso_id = v.id
ORDER BY date ASC)
WHERE rownum = 1)
END ) AS p_o,
v.o_id AS k_o
FROM tablev v
LEFT JOIN tablet t
ON v.id = t.v_id;
Here is what I need:
TableV has distinct v.id values. I need join that table with another (tableT) which has many records for same v.id and then for each distinct v.id:
select O_ID from V
if record for v.id in tableT does not exists(date is null) then
select O_ID from V (same as above)else select o_id1 from T with
minimum date
Also, aditional, is if possible to join o_id from 1. and o_id/o_id1 from2 to another table and write person's name?
I would like, instead of o_id, for each v.id to join selected o_id to another table(tableO) and select name.
So, I need these columns in result: V.id, p_o, k_o
But it would be really great if it looks like: v.id, p_o.name, k_o.name
To answer your first question, assuming that t.vso_id and t.v_id are the same thing (otherwise I might have misunderstood your question), try this query (I use another DBMS, so you might need to adjust the call to COALESCE a little):
SELECT v.id, COALESCE(t.o_id1, v.o_id), v.o_id
FROM tableV v
LEFT JOIN (
(SELECT vso_id, min(date) AS min_date FROM tableT GROUP BY vso_id) min_dates
JOIN tableT t
ON min_dates.vso_id = t.vso_id AND min_dates.min_date = t.date
) ON v.id = t.v_id;
Here's a breakdown:
(SELECT vso_id, min(date) AS min_date FROM tableT GROUP BY vso_id) AS min_dates
selects a smallest date for each vso_id.
(SELECT vso_id, min(date) AS min_date FROM tableT GROUP BY vso_id) AS min_dates
JOIN tableT t
ON min_dates.vso_id = t.vso_id AND min_dates.min_date = t.date
selects one row per vso_id, and that row will correspond to the smallest date that that vso_id has.
Finally, I join tableV to that query. COALESCE(t.o_id1, v.o_id) will return t.o_id if it is not NULL, v.o_id otherwise. You can use CASE instead, but I find COALESCE to be a better fit for this particular purpose.
To answer your second question, you can then JOIN against the table with names like this:
JOIN table_with_names twn1 ON twn1.id = COALESCE(t.o_id1, v.o_id)
JOIN table_with_names twn2 ON twn2.id = v.o_id
and project twn1.name and twn2.name.

How can I join on multiple columns within the same table that contain the same type of info?

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

SQL Group By Clause and Empty Entries

I have a SQL Server 2005 query that I'm trying to assemble right now but I am having some difficulties.
I have a group by clause based on 5 columns: Project, Area, Name, User, Engineer.
Engineer is coming from another table and is a one to many relationship
WITH TempCTE
AS (
SELECT htce.HardwareProjectID AS ProjectId
,area.AreaId AS Area
,hs.NAME AS 'Status'
,COUNT(*) AS Amount
,MAX(htce.DateEdited) AS DateModified
,UserEditing AS LastModifiedName
,Engineer
,ROW_NUMBER() OVER (
PARTITION BY htce.HardwareProjectID
,area.AreaId
,hs.NAME
,htce.UserEditing ORDER BY htce.HardwareProjectID
,Engineer DESC
) AS row
FROM HardwareTestCase_Execution AS htce
INNER JOIN HardwareTestCase AS htc ON htce.HardwareTestCaseID = htc.HardwareTestCaseID
INNER JOIN HardwareTestGroup AS htg ON htc.HardwareTestGroupID = htg.HardwareTestGroupId
INNER JOIN Block AS b ON b.BlockId = htg.BlockId
INNER JOIN Area ON b.AreaId = Area.AreaId
INNER JOIN HardwareStatus AS hs ON htce.HardwareStatusID = hs.HardwareStatusId
INNER JOIN j_Project_Testcase AS jptc ON htce.HardwareProjectID = jptc.HardwareProjectId AND htce.HardwareTestCaseID = jptc.TestcaseId
WHERE (htce.DateEdited > #LastDateModified)
GROUP BY htce.HardwareProjectID
,area.AreaId
,hs.NAME
,htce.UserEditing
,jptc.Engineer
)
The gist of what I want is to be able to deal with empty Engineer columns. I don't want this column to have a blank second entry (where row=2).
What I want to do:
Group the items with "row" value of 1 & 2 together.
Select the Engineer that isn't empty.
Do not deselect engineers where there is not a matching row=2.
I've tried a series of joins to try and make things work. No luck so far.
Use j_Project_Testcase PIVOT( MAX(Engineer) for Row in ( [1], [2] ) then select ISNULL( [1],[2]) to select the Engineer value
I can give you a more robust example if you set up a SQL fiddle
Try reading this: PIVOT and UNPIVOT

Limit join to one row

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
...