Adding sum values from two different tables - sql

How can i achieve this. T2 is linked with another table which contains order details like customer name, country and classification. They have an inner join.
T1 is linked to T2 only via order code and order item.

Assuming that both tables report the same set of order numbers, we can try joining two subqueries each of which finds the sums in the respective tables:
SELECT
t1.ORDER_NUM,
t1.ORDER_ITEM,
t1.PRODUCED + t2.PRODUCED AS PRODUCED
FROM
(
SELECT ORDER_NUM, ORDER_ITEM, SUM(PRODUCED) AS PRODUCED
FROM table1
GROUP BY ORDER_NUM
) t1
INNER JOIN
(
SELECT ORDER_NUM, ORDER_ITEM, SUM(NET_IN - NET_OUT) AS PRODUCED
FROM table2
GROUP BY ORDER_NUM
) t2
ON t1.ORDER_NUM = t2.ORDER_NUM AND
t1.ORDER_ITEM = t2.ORDER_ITEM
ORDER BY
t1.ORDER_NUM,
t1.ORDER_ITEM;
Note that the above is not necessarily an ideal approach, because a given order/item combination in one table might not appear in the other table. A better approach would be to start the query with a reference table containing all orders and items. That failing, we could convert the above to a full outer join.

I think a simple approach is union all:
select ordernum, orderitem, sum(produced) as produced
from ((select ordernum, orderitem, produced
from table1
) union all
(select ordernum, orderitem, netout
from table2
)
) t12
group by ordernum, orderitem;
This has two advantages over pre-aggregating and using joins:
It keeps all order/item pairs, even those that appear in one table.
If you add a where claus to the outer query, SQL Server is likely to "project" that into the subqueries.

Try for bellow query also
select t1.order_num,t1.order_item,sum(t1.produced)+(select sum(net_in) from t2)-(select sum(t2.net_out) from t2)PRODUCED
from t1
group by t1.order_num,t1.order_item
if you have wanted the only sum from another table that time you have used select query and do the sum of a particular column.

Related

SQL Server query showing most recent distinct data

I am trying to build a SQL query to recover only the most young record of a table (it has a Timestamp column already) where the item by which I want to filter appears several times, as shown in my table example:
.
Basically, I have a table1 with Id, Millis, fkName and Price, and a table2 with Id and Name.
In table1, items can appear several times with the same fkName.
What I need to achieve is building up a single query where I can list the last record for every fkName, so that I can get the most actual price for every item.
What I have tried so far is a query with
SELECT DISTINCT [table1].[Millis], [table2].[Name], [table1].[Price]
FROM [table1]
JOIN [table2] ON [table2].[Id] = [table1].[fkName]
ORDER BY [table2].[Name]
But I don't get the correct listing.
Any advice on this? Thanks in advance,
A simple and portable approach to this greatest-n-per-group problem is to filter with a subquery:
select t1.millis, t2.name, t1.price
from table1 t1
inner join table2 t2 on t2.id = t1.fkName
where t1.millis = (select max(t11.millis) from table1 t11 where t11.fkName = t1.fkName)
order by t1.millis desc
using Common Table Expression:
;with [LastPrice] as (
select [Millis], [Price], ROW_NUMBER() over (Partition by [fkName] order by [Millis] desc) rn
from [table1]
)
SELECT DISTINCT [LastPrice].[Millis],[table2].[Name],[LastPrice].[Price]
FROM [LastPrice]
JOIN [table2] ON [table2].[Id] = [LastPrice].[fkName]
WHERE [LastPrice].rn = 1
ORDER BY [table2].[Name]

Redshift Query returning too many rows in aggregate join

I am sure I must be missing something obvious. I am trying to line up two tables with different measurement data for analysis, and my counts are coming back enormously high when I join the two tables together.
Here are the correct counts from my table1
select line_item_id,sum(is_imp) as imps
from table1
where line_item_id=5993252
group by 1;
Here are the correct counts from table2
select cs_line_item_id,sum(grossImpressions) as cs_imps
from table2
where cs_line_item_id=5993252
group by 1;
When I join the tables together, my counts become inaccurate:
select a.line_item_id,sum(a.is_imp) as imps,sum(c.grossImpressions) as cs_imps
from table1 a join table2 c
ON a.line_item_id=c.cs_line_item_id
where a.line_item_id=5993252
group by 1;
I'm using aggregates, group by, filtering, so I'm not sure where I'm going wrong. Here is the schema for these tables:
select a.*, b.imps table2_imps from
(select line_item_id,sum(is_imp) as imps
from table1
group by 1)a
join
(select line_item_id,sum(is_imp) as imps
from table1
group by 1)b
on a.select line_item_id=b.select line_item_id
You are generating a Cartesian product for each line_item_id. There are two relatively simply ways to solve this, one with a full join, the other with union all:
select line_item_id, sum(imps) as imps, sum(grossImpressions) as cs_imps
from ((select a.line_time_id, sum(is_imp) as imps, 0 as grossImpressions
from table1 a
where a.line_item_id = 5993252
group by a.line_item_id
) union all
(select c.line_time_id, 0 as imps, sum(grossImpressions) as grossImpressions
from table2 c
where c.line_item_id = 5993252
group by c.line_item_id
)
) ac
group by line_item_id;
You can remove the where clause from the subqueries to get the total for all line_tiem_ids. Note that this works even when one or the other table has no matching rows for a given line_item_id.
For performance, you really want to do the filtering before the group by.

Stored procedure is returning output with different order on multiple SQL databases

I have a stored procedure (called sp1) which is doing a join between two tables.
Schema for tables is like:
Table1 (id, country, name, ccy)
Table2 (sId, price)
This is the stored procedure:
SELECT
RTRIM(id) as id,
country
FROM
dbo.Table1
LEFT OUTER JOIN
dbo.Table2 ON Table1.Id = Table2.sId
On one database, I am getting the following result
MNKD US UnitedStates
928502811 UnitedStates
But on another database, I am getting the result with different order:
928502811 UnitedStates
MNKD US UnitedStates
The only significant difference is table one consist of many columns while table 2 has only two columns.
Can someone help me to figure out the reason and how to fix it to get the consistent result? Thanks
SQL tables and results sets are unordered by default. The only exception is when a query explicitly has an order by. Without an order by, the same query on the same database on the same data can return values in a different order when called multiple times.
If you want the results in a particular order, then add an order by:
select trim(id) as id, country
from dbo.Table1 left outer join
dbo.Table2
on Table1.Id = Table2.sId
order by id;
Rows in the database don't have an order.
If you want to order your result in a certain way you will need to use the ORDER BY clause so for example:
SELECT
RTRIM(id) as id,
country
from dbo.Table1
left outer join dbo.Table2 on Table1.Id = Table2.sId
ORDER BY id

Left Join with Distinct Clause

Below is my insert query.
INSERT INTO /*+ APPEND*/ TEMP_CUSTPARAM(CUSTNO, RATING)
SELECT DISTINCT Q.CUSTNO, NVL(((NVL(P.RATING,0) * '10.0')/100),0) AS RATING
FROM TB_ACCOUNTS Q LEFT JOIN TB_CUSTPARAM P
ON P.TEXT_PARAM IN (SELECT DISTINCT PRDCD FROM TB_ACCOUNTS)
AND P.TABLENAME='TB_ACCOUNTS' AND P.COLUMNNAME='PRDCD';
In the previous version of the query, P.TEXT_PARAM=Q.PRDCD but during insert to TEMP_CUSTPARAM due to violation of unique constraint on CUSTNO.
The insert query is taking ages to complete. Would like to know how to use distinct with LEFT JOIN statement.
Thanks.
SELECT T1.Col1, T2.Col2 FROM Table1 T1
Left JOIN
(SELECT Distinct Col1, Col2 FROM Table2
) T2 ON T2.Id = T1.Id
You are missing criteria to join TB_ACCOUNTS records with their related TB_ACCOUNTS/PRDCD TB_CUSTPARAM records and thus cross join them instead. I guess you want:
INSERT INTO /*+ APPEND*/ TEMP_CUSTPARAM(CUSTNO, RATING)
SELECT DISTINCT
Q.CUSTNO,
NVL(P.RATING, 0) * 0.1 AS RATING
FROM TB_ACCOUNTS Q
LEFT JOIN TB_CUSTPARAM P ON P.TEXT_PARAM = Q.PRDCD
AND P.TABLENAME = 'TB_ACCOUNTS'
AND P.COLUMNNAME = 'PRDCD';
If the query is taking ages to complete, check first the execution plan. You may find some hints here - If you see a cartesian join on two non-trivial tables, probably the query should be revisited.
Than ask yourself what is the expectation of the query.
Do you expect one record per CUSTNO? Or can a customer have more than one rating?
One reting per customer could have sense from the point of business. To get unique customer list with rating
1) first get a UNIQUE CUSTNO - note that this is in generel not done with a DISTINCT clause, but if tehre are more rows per customer with a filter predicate, e.g. selecting the most recent row.
2) than join to the rating table

How to compare tables and find duplicates and also find columns with different value

I have the following tables in Oracle 10g:
Table1
Name Status
a closed
b live
c live
Table2
Name Status
a final
b live
c live
There are no primary keys in both tables, and I am trying to write a query which will return identical rows without looping both tables and comparing rows/columns. If the status column is different then the row in the Table2 takes presedence.
So in the above example my query should return this:
Name Status
a final
b live
c live
Since you have mentioned that there are no Primary Key on both tables, I'm assuming that there maybe a possibility that a row may exist on Table1, Table2, or both. The query below uses Common Table Expression and Windowing function to get such result.
WITH unionTable
AS
(
SELECT Name, Status, 1 AS ordr FROM Table1
UNION
SELECT Name, Status, 2 AS ordr FROM Table2
),
ranks
AS
(
SELECT Name, Status,
ROW_NUMBER() OVER (PARTITION BY NAME ORDER BY ordr DESC) rn
FROM unionTable
)
SELECT Name, Status
FROM ranks
WHERE rn = 1
SQLFiddle Demo
Something like this?
SELECT table1.Name, table2.Status
FROM table1
INNER JOIN table2 ON table1.Name = table2.Name
By always returning table2.Status you've covered both the case when they're the same and when they're different (essentially it doesn't matter what the value of table1.Status is).