I have an insert statment that incorporates multiple joins. However, the last join (table ItemMulitplers) doesnt really have anything "tied" to the other tables. They are just multipliers in this table with no unique identification or connection with others. the only thing is a timestamp from this table.
I have 5 rows in this table and my script is taking all five rows. I need it to select only one and to base it off of the closest time from the table called ItemsProduced. They get executed at the same time but not on the same millisecond level. any help is most appreciated thank you
insert into KLNUser.dbo.ItemLookup (ItemNumber, Cases, [Description], [Type], Wic, Elc, totalelc, Shift, [TimeStamp])
select a.ItemNumber, b.CaseCount,b.ItemDescription, b.DivisionCode, b.WorkCenter, b.LaborPerCase, a.CaseCount* b.LaborPerCase* c.IaCoPc, a.shift, a.TimeStamp from ItemsProduced a
inner join MasterItemList b on a.ItemNumber = b.itemnumber
inner join ItemMultipliers c on c.MultiplyTimeStamp <=a.Timestamp Interval 1 seconds
where not exists (select * from ItemLookup where ItemNumber = a.ItemNumber and Cases = b.CaseCount and [TimeStamp] = a.TimeStamp)
I think the easiest way is with cross apply:
select a.ItemNumber, b.CaseCount,b.ItemDescription, b.DivisionCode, b.WorkCenter, b.LaborPerCase, a.CaseCount* b.LaborPerCase* c.IaCoPc, a.shift, a.TimeStamp
from ItemsProduced a inner join
MasterItemList b
on a.ItemNumber = b.itemnumber cross apply
(select top 1 *
from ItemMultipliers c
where c.MultiplyTimeStamp < a.Timestamp
order by c.MultiplyTimeStamp desc
) c
where not exists (select * from ItemLookup where ItemNumber = a.ItemNumber and Cases = b.CaseCount and [TimeStamp] = a.TimeStamp)
Related
I'm getting a syntax error at Left Join. So in trying to combine the two, i used the left join and the brackets. I'm not sure where the problem is:
SELECT DISTINCT a.order_id
FROM fact.outbound AS a
ORDER BY Rand()
LIMIT 5
LEFT JOIN (
SELECT
outbound.marketplace_name,
outbound.product_type,
outbound.mpid,
outbound.order_id,
outbound.sku,
pbdh.mpid,
pbdh.product_type,
pbdh.validated_exp_reach,
pbdh.ultimate_sales_rank_de,
pbdh.ultimate_sales_rank_fr,
(
pbdh.very_good_stock_count + good_stock_count + new_Stock_count
) as total_stock
FROM
fact.outbound AS outbound
LEFT JOIN reporting_layer.pricing_bi_data_historisation AS pbdh ON outbound.mpid = pbdh.mpid
AND trunc(outbound.ordered_date) = trunc(pbdh.importdate)
WHERE
outbound.ordered_date > '2022-01-01'
AND pbdh.importdate > '2022-01-01'
LIMIT
5
) AS b ON a.orderid = b.order_id
Error:
You have an error in your SQL syntax; it seems the error is around: 'LEFT JOIN ( SELECT outbound.marketplace_name, outbound.product_t' at line 9
What could be the reason?
Place the first limit logic into a separate subquery, and then join the two subqueries:
SELECT DISTINCT a.order_id
FROM
(
SELECT order_id
FROM fact.outbound
ORDER BY Rand()
LIMIT 5
) a
LEFT JOIN
(
SELECT
outbound.marketplace_name,
outbound.product_type,
outbound.mpid,
outbound.order_id,
outbound.sku,
pbdh.mpid,
pbdh.product_type,
pbdh.validated_exp_reach,
pbdh.ultimate_sales_rank_de,
pbdh.ultimate_sales_rank_fr,
(pbdh.very_good_stock_count +
good_stock_count + new_Stock_count) AS total_stock
FROM fact.outbound AS outbound
LEFT JOIN reporting_layer.pricing_bi_data_historisation AS pbdh
ON outbound.mpid = pbdh.mpid AND
TRUNC(outbound.ordered_date) = TRUNC(pbdh.importdate)
WHERE outbound.ordered_date > '2022-01-01' AND
pbdh.importdate > '2022-01-01'
-- there should be an ORDER BY clause here...
LIMIT 5
) AS b
ON a.orderid = b.order_id;
Note that the select clause of the b subquery can be reduced to just the order_id, as no values from this subquery are actually selected in the end.
You can skip the LEFT JOIN, since no b columns are selected. (And SELECT DISTINCT makes sure any duplicates are eliminated.)
SELECT DISTINCT order_id
FROM fact.outbound
ORDER BY Rand()
LIMIT 5
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 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 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
...
I have query that work for me only when values in the StakeValue don't repeat.
Basically, I need to select maximum values from SI_STAKES table with their relations from two other tables grouped by internal type.
SELECT a.StakeValue, b.[StakeName], c.[ProviderName]
FROM SI_STAKES AS a
INNER JOIN SI_STAKESTYPES AS b ON a.[StakeTypeID] = b.[ID]
INNER JOIN SI_PROVIDERS AS c ON a.[ProviderID] = c.[ID] WHERE a.[EventID]=6
AND a.[StakeGroupTypeID]=1
AND a.StakeValue IN
(SELECT MAX(d.StakeValue) FROM SI_STAKES AS d
WHERE d.[EventID]=a.[EventID] AND d.[StakeGroupTypeID]=a.[StakeGroupTypeID]
GROUP BY d.[StakeTypeID])
ORDER BY b.[StakeName], a.[StakeValue] DESC
Results for example must be:
[ID] [MaxValue] [StakeTypeID] [ProviderName]
1 1,5 6 provider1
2 3,75 7 provider2
3 7,6 8 provider3
Thank you for your help
There are two problems to solve here.
1) Finding the max values per type. This will get the Max value per StakeType and make sure that we do the exercise only for the wanted events and group type.
SELECT StakeGroupTypeID, EventID, StakeTypeID, MAX(StakeValue) AS MaxStakeValue
FROM SI_STAKES
WHERE Stake.[EventID]=6
AND Stake.[StakeGroupTypeID]=1
GROUP BY StakeGroupTypeID, EventID, StakeTypeID
2) Then we need to get only one return back for that value since it may be present more then once.
Using the Max Value, we must find a unique row for each I usually do this by getting the Max ID is has the added advantage of getting me the most recent entry.
SELECT MAX(SMaxID.ID) AS ID
FROM SI_STAKES AS SMaxID
INNER JOIN (
SELECT StakeGroupTypeID, EventID, StakeTypeID, MAX(StakeValue) AS MaxStakeValue
FROM SI_STAKES
WHERE Stake.[EventID]=6
AND Stake.[StakeGroupTypeID]=1
GROUP BY StakeGroupTypeID, EventID, StakeTypeID
) AS SMaxVal ON SMaxID.StakeTypeID = SMaxVal.StakeTypeID
AND SMaxID.StakeValue = SMaxVal.MaxStakeValue
AND SMaxID.EventID = SMaxVal.EventID
AND SMaxID.StakeGroupTypeID = SMaxVal.StakeGroupTypeID
3) Now that we have the ID's of the rows that we want, we can just get that information.
SELECT Stakes.ID, Stakes.StakeValue, SType.StakeName, SProv.ProviderName
FROM SI_STAKES AS Stakes
INNER JOIN SI_STAKESTYPES AS SType ON Stake.[StakeTypeID] = SType.[ID]
INNER JOIN SI_PROVIDERS AS SProv ON Stake.[ProviderID] = SProv.[ID]
WHERE Stake.ID IN (
SELECT MAX(SMaxID.ID) AS ID
FROM SI_STAKES AS SMaxID
INNER JOIN (
SELECT StakeGroupTypeID, EventID, StakeTypeID, MAX(StakeValue) AS MaxStakeValue
FROM SI_STAKES
WHERE Stake.[EventID]=6
AND Stake.[StakeGroupTypeID]=1
GROUP BY StakeGroupTypeID, EventID, StakeTypeID
) AS SMaxVal ON SMaxID.StakeTypeID = SMaxVal.StakeTypeID
AND SMaxID.StakeValue = SMaxVal.MaxStakeValue
AND SMaxID.EventID = SMaxVal.EventID
AND SMaxID.StakeGroupTypeID = SMaxVal.StakeGroupTypeID
)
You can use the over clause since you're using T-SQL (hopefully 2005+):
select distinct
a.stakevalue,
max(a.stakevalue) over (partition by a.staketypeid) as maxvalue,
b.staketypeid,
c.providername
from
si_stakes a
inner join si_stakestypes b on
a.staketypeid = b.id
inner join si_providers c on
a.providerid = c.id
where
a.eventid = 6
and a.stakegrouptypeid = 1
Essentially, this will find the max a.stakevalue for each a.staketypeid. Using a distinct will return one and only one row. Now, if you wanted to include the min a.id along with it, you could use row_number to accomplish this:
select
s.id,
s.maxvalue,
s.staketypeid,
s.providername
from (
select
row_number() over (order by a.stakevalue desc
partition by a.staketypeid) as rownum,
a.id,
a.stakevalue as maxvalue,
b.staketypeid,
c.providername
from
si_stakes a
inner join si_stakestypes b on
a.staketypeid = b.id
inner join si_providers c on
a.providerid = c.id
where
a.eventid = 6
and a.stakegrouptypeid = 1
) s
where
s.rownum = 1