Let's say I have a table like so
CREATE TABLE Records (Event VARCHAR, Severity INT, Location VARCHAR)
I'd like to be able to grab the Event name and location of the row with the lowest severity. How could I achieve this?
Using top(1), limit(1) etc... you will get only one record with the lowest severity, but in case there are 2 of them you will lose the second.
I suggest you to use a nested query as follows:
from records r
where Severity = (
select min(severity)
from records
)
One simple method:
select top (1) r.*
from records r
order by r.severity;
If you want all rows in the event of ties, then use:
select top (1) with ties r.*
Failed finding a solution to my problem, would love your help.
~~ Post has been edited to have only one question ~~-
Group by one query while selecting multiple columns.
In MySQL you can simply group by whatever you want, and it will still select all of them, so if for example I wanted to select the newest 100 transactions, grouped by Email (only get the last transaction of a single email)
In MySQL I would do that:
SELECT * FROM db.transactionlog
group by Email
order by TransactionLogId desc
LIMIT 100;
In SQL Server its not possible, googling a bit suggested to specify each column that I want to have with an aggregate as a hack, that couldn't cause a mix of values (mixing columns between the grouped rows)?
For example:
SELECT TOP(100)
Email,
MAX(ResultCode) as 'ResultCode',
MAX(Amount) as 'Amount',
MAX(TransactionLogId) as 'TransactionLogId'
FROM [db].[dbo].[transactionlog]
group by Email
order by TransactionLogId desc
TransactionLogId is the primarykey which is identity , ordering by it to achieve the last inserted.
Just want to know that the ResultCode and Amount that I'll get doing such query will be of the last inserted row, and not the highest of the grouped rows or w/e.
~Edit~
Sample data -
row1:
Email : test#email.com
ResultCode : 100
Amount : 27
TransactionLogId : 1
row2:
Email: test#email.com
ResultCode:50
Amount: 10
TransactionLogId: 2
Using the sample data above, my goal is to get the row details of
TransactionLogId = 2.
but what actual happens is that I get a mixed values of the two, as I do get transactionLogId = 2, but the resultcode and amount of the first row.
How do I avoid that?
Thanks.
You should first find out which is the latest transaction log by each email, then join back against the same table to retrieve the full record:
;WITH MaxTransactionByEmail AS
(
SELECT
Email,
MAX(TransactionLogId) as LatestTransactionLogId
FROM
[db].[dbo].[transactionlog]
group by
Email
)
SELECT
T.*
FROM
[db].[dbo].[transactionlog] AS T
INNER JOIN MaxTransactionByEmail AS M ON T.TransactionLogId = M.LatestTransactionLogId
You are currently getting mixed results because your aggregate functions like MAX() is considering all rows that correspond to a particular value of Email. So the MAX() value for the Amount column between values 10 and 27 is 27, even if the transaction log id is lower.
Another solution is using a ROW_NUMBER() window function to get a row-ranking by each Email, then just picking the first row:
;WITH TransactionsRanking AS
(
SELECT
T.*,
MostRecentTransactionLogRanking = ROW_NUMBER() OVER (
PARTITION BY
T.Email -- Start a different ranking for each different value of Email
ORDER BY
T.TransactionLogId DESC) -- Order the rows by the TransactionLogID descending
FROM
[db].[dbo].[transactionlog] AS T
)
SELECT
T.*
FROM
TransactionsRanking AS T
WHERE
T.MostRecentTransactionLogRanking = 1
I want to distinguish Rows on the basis of two or more columns value of the same table at the same time returns all columns from the table.
Ex: I have this table
DB Table
I want my result to be displayed as: filter on the basis of type and Number only. As in abover table type and Number for first and second Row is same so it should be suppressed in result.
txn item Discrip Category type Number Mode
60 2 Loyalty L 6174 XXXXXXX1390 0
60 4 Visa C 1600 XXXXXXXXXXXX4108 1
I have tried with sub query but yet unsuccessful. Please suggest what to try.
Thanks
You can do what you want with row_number():
select t.*
from (select t.*,
row_number() over (partition by type, number order by item) as seqnum
from t
) t
where seqnum = 1;
I would like to see a most concise way to do what is outlined in this SO question: Sum values from multiple rows into one row
that is, combine multiple rows while summing a column.
But how to then delete the duplicates. In other words I have data like this:
Person Value
--------------
1 10
1 20
2 15
And I want to sum the values for any duplicates (on the Person col) into a single row and get rid of the other duplicates on the Person value. So my output would be:
Person Value
-------------
1 30
2 15
And I would like to do this without using a temp table. I think that I'll need to use OVER PARTITION BY but just not sure. Just trying to challenge myself in not doing it the temp table way. Working with SQL Server 2008 R2
Simply put, give me a concise stmt getting from my input to my output in the same table. So if my table name is People if I do a select * from People on it before the operation that I am asking in this question I get the first set above and then when I do a select * from People after the operation, I get the second set of data above.
Not sure why not using Temp table but here's one way to avoid it (tho imho this is an overkill):
UPDATE MyTable SET VALUE = (SELECT SUM(Value) FROM MyTable MT WHERE MT.Person = MyTable.Person);
WITH DUP_TABLE AS
(SELECT ROW_NUMBER()
OVER (PARTITION BY Person ORDER BY Person) As ROW_NO
FROM MyTable)
DELETE FROM DUP_TABLE WHERE ROW_NO > 1;
First query updates every duplicate person to the summary value. Second query removes duplicate persons.
Demo: http://sqlfiddle.com/#!3/db7aa/11
All you're asking for is a simple SUM() aggregate function and a GROUP BY
SELECT Person, SUM(Value)
FROM myTable
GROUP BY Person
The SUM() by itself would sum up the values in a column, but when you add a secondary column and GROUP BY it, SQL will show distinct values from the secondary column and perform the aggregate function by those distinct categories.
I have a problem in sql where I need to generate a packing list from a list of transactions.
Data Model
The transactions are stored in a table that contains:
transaction id
item id
item quantity
Each transaction can have multiple items (and coincidentally multiple rows with the same transaction id). Each item then has a quantity from 1 to N.
Business Problem
The business requires that we create a packing list, where each line item in the packing list contains the count of each item in the box.
Each box can only contain 160 items (they all happen to be the same size/weight). Based on the total count of the order we need to split items into different boxes (sometimes splitting even the individual item's collection into two boxes)
So the challenge is to take that data schema and come up with the result set that includes how many of each item belong in each box.
I am currently brute forcing this in some not so pretty ways and wondering if anyone has an elegant/simple solution that I've overlooked.
Example In/Out
We really need to isolate how many of each item end up in each box...for example:
Order 1:
100 of item A100 of item B140 of item C
This should result in three rows in the result set:
Box 1: A (100), B (60) Box 2: B(40), C (120) Box 3: C(20)
Ideally the query would be smart enough to put all of C together, but at this point - we're not too concerned with that.
How about something like
SELECT SUM([Item quantity]) as totalItems
, SUM([Item quantity]) / 160 as totalBoxes
, MOD(SUM([Item Quantity), 160) amountInLastBox
FROM [Transactions]
GROUP BY [Transaction Id]
Let me know what fields in the resultset you're looking for and I could come up with a better one
I was looking for something similar and all I could achieve was expanding the rows to the number of item counts in a transaction, and grouping them into bins. Not very elegant though.. Moreover, because string aggregation is still very cumbersome in SQL Server (Oracle, i miss you!), I have to leave the last part out. I mean putting the counts in one single row..
My solution is as follows:
Example transactions table:
INSERT INTO transactions
(trans_id, item, cnt) VALUES
('1','A','50'),
('2','A','140'),
('3','B','100'),
('4','C','80');
GO
Create a dummy sequence table, which contains numbers from 1 to 1000 (I assume that maximum number allowed for an item in a single transaction is 1000):
CREATE TABLE numseq (n INT NOT NULL IDENTITY) ;
GO
INSERT numseq DEFAULT VALUES ;
WHILE SCOPE_IDENTITY() < 1000 INSERT numseq DEFAULT VALUES ;
GO
Now we can generate a temporary table from transactions table, in which each transaction and item exist "cnt" times in a subquery, and then give numbers to the bins using division, and group by bin number:
SELECT bin_nr, item, count(*) count_in_bin
INTO result
FROM (
SELECT t.item, ((row_number() over (order by t.item, s.n) - 1) / 160) + 1 as bin_nr
FROM transactions t
INNER JOIN numseq s
ON t.cnt >= s.n -- join conditionally to repeat transaction rows "cnt" times
) a
GROUP BY bin_id, item
ORDER BY bin_id, item
GO
Result is:
bin_id item count_in_bin
1 A 160
2 A 30
2 B 100
2 C 30
3 C 50
In Oracle, the last step would be as simple as that:
SELECT bin_id, WM_CONCAT(CONCAT(item,'(',count_in_bin,')')) contents
FROM result
GROUP BY bin_id
This isn't the prettiest answer but I am using a similar method to keep track of stock items through an order process, and it is easy to understand, and may lead to you developing a better method than I have.
I would create a table called "PackedItem" or something similar. The columns would be:
packed_item_id (int) - Primary Key, Identity column
trans_id (int)
item_id (int)
box_number (int)
Each record in this table represents 1 physical unit you will ship.
Lets say someone adds a line to transaction 4 with 20 of item 12, I would add 20 records to the PackedItem table, all with the transaction ID, the Item ID, and a NULL box number. If a line is updated, you need to add or remove records from the PackedItem table so that there is always a 1:1 correlation.
When the time comes to ship, you can simply
SELECT TOP 160 FROM PackedItem WHERE trans_id = 4 AND box_number IS NULL
and set the box_number on those records to the next available box number, until no records remain where the box_number is NULL. This is possible using one fairly complicated UPDATE statement inside a WHILE loop - which I don't have the time to construct fully.
You can now easily get your desired packing list by querying this table as follows:
SELECT box_number, item_id, COUNT(*) AS Qty
FROM PackedItem
WHERE trans_id = 4
GROUP BY box_number, item_id
Advantages - easy to understand, fairly easy to implement.
Pitfalls - if the table gets out of sync with the lines on the Transaction, the final result can be wrong; This table will get many records in it and will be extra work for the server. Will need each ID field to be indexed to keep performance good.