Archive
Include other columns while doing aggregates and GROUP BY – MSDN TSQL forum
–> Question:
I need maximum mark scored each students and min mark scored each students.
I have done this way…
select ID, max(mark), min(mark) from table1 group by ID
But i need more field as Class…. I don’t want include class field in group by clause
–> My Answer:
Try joining the query with the table, like:
select T1.*, T2.ID, T2.max_mark, T2.min_mark from table1 T1 join (select ID,max(mark) as max_mark,min(mark) as min_mark from table1 group by ID ) AS T2 on T1.ID=T2.ID
–> shaahs Answer:
In this situation you can use the window functions:
select ID, Class, max(mark) over(partition by ID), min(mark) over(Partition by ID) from table1
… in this cause you don’t want to include the fields in group by clause.
Combine multiple ROWS to CSV String… and vice-versa
There are times when you want to combine values from multiple rows of a single column into a CSV (Comma Separates Value) String.
Like combining multiple orders of each customer into one single row, or multiple Cities against each State as shown below.
It was a bit difficult to do in SQL Server 2000 and requires to create a customized function or a script.
But with SQL Server’s 2005 version, the new “PATH” mode with “FOR XML” provides us a way to get the desired output. Its a bit tricky but will do the needful, that’s why I’ve also added this post for my reference as well.
CREATE TABLE #tempCityState (State VARCHAR(5), City VARCHAR(50)) INSERT INTO #tempCityState SELECT 'CO', 'Denver' UNION SELECT 'CO', 'Teluride' UNION SELECT 'CO', 'Vail' UNION SELECT 'CO', 'Aspen' UNION SELECT 'CA', 'Los Angeles' UNION SELECT 'CA', 'Hanford' UNION SELECT 'CA', 'Fremont' UNION SELECT 'WA', 'Seattle' UNION SELECT 'WA', 'Redmond' UNION SELECT 'WA', 'Bellvue' SELECT * FROM #tempCityState
State City
CA Hanford
CA Fremont
CA Los Angeles
CO Denver
CO Aspen
CO Vail
CO Teluride
WA Seattle
WA Redmond
WA Bellvue
Using the “FOR XML PATH” syntax:
SELECT DISTINCT State, (SELECT SUBSTRING((SELECT ',' + City
FROM #tempCityState
WHERE State = t.State
FOR XML PATH('')),2,200000)) AS Cities
INTO #tempCityStateCSV
FROM #tempCityState t
-- OR --
SELECT DISTINCT State, (SELECT STUFF((SELECT ',' + City
FROM #tempCityState
WHERE State = t.State
FOR XML PATH('')),1,1,'')) AS Cities
FROM #tempCityState t
SELECT * FROM #tempCityStateCSV
State Cities
CA Hanford,Fremont,Los Angeles
CO Denver,Aspen,Vail,Teluride
WA Seattle,Redmond,Bellvue
Now, converting it back to multiple rows:
SELECT A.[State], Split.a.value('.', 'VARCHAR(100)') AS City
FROM (SELECT [State], CAST ('<M>' + REPLACE([Cities], ',', '</M><M>') + '</M>' AS XML) AS String
FROM #tempCityStateCSV) AS A
CROSS APPLY String.nodes ('/M') AS Split(a)
ORDER BY 1,2
State City CA Fremont CA Hanford CA Los Angeles CO Aspen CO Denver CO Teluride CO Vail WA Bellvue WA Redmond WA Seattle
Convert multiple Rows into a single column
Just replied an answer on a SQL forum (http://www.sqlteam.com/forums/topic.asp?TOPIC_ID=148860), so thought to post this as well for future reference.
How will you output the following record set:
123456788 City 399.99
123456788 County 499.99
123456788 Flood 299.99
123456788 Hazzard 199.99
123456789 City 333.99
123456789 County 444.99
123456789 Flood 222.99
123456789 Hazzard 111.99
... into following pattern:
id Hazzard Flood City County
123456788 199.99 299.99 399.99 499.99
123456789 111.99 222.99 333.99 444.99
The following query will do it and convert the rows into columns:
select 123456788 as id, 'Hazzard' as des, 199.99 as val into #tempTable union select 123456788, 'Flood', 299.99 union select 123456788, 'City', 399.99 union select 123456788, 'County', 499.99 union select 123456789, 'Hazzard', 111.99 union select 123456789, 'Flood', 222.99 union select 123456789, 'City', 333.99 union select 123456789, 'County', 444.99 select * from #tempTable select a.id as id, a.val as Hazzard, b.val as Flood, c.val as City, d.val as County from #tempTable a,#tempTable b,#tempTable c, #tempTable d where a.id=b.id and b.id=c.id and c.id=d.id and a.des='Hazzard' and b.des='Flood' and c.des='City' and d.des='County' drop table #tempTable
The above select code is with a simple old style where clause with multiple tables joining. The code could be also converted to self-joins.
Table variables are not stored in memory, but in tempdb
Table-Variables just like Temp-Tables also gets stored in tempdb.
This is a misconception among people and online forums that Table-Variables are memory variables or maintained in memory.
–> To prove this I executed following code:
-- Batch #1 SELECT TABLE_NAME FROM tempdb.INFORMATION_SCHEMA.TABLES GO -- Batch #2 CREATE TABLE #tempTab (j INT) INSERT INTO #tempTab VALUES (1) SELECT * FROM #tempTab SELECT TABLE_NAME FROM tempdb.INFORMATION_SCHEMA.TABLES GO -- Batch #3 DECLARE @tabVar TABLE (i INT) INSERT INTO @tabVar VALUES (1) SELECT * FROM @tabVar SELECT TABLE_NAME FROM tempdb.INFORMATION_SCHEMA.TABLES GO DROP TABLE #tempTab GO
Batch #1: Excuting first batch gives me 0 rows, means no tables exists in tempdb system database.
Batch #2: The second batch of stmt gives me 1 row with following table name:
#tempTab_____________________________________________________________000000019D39
Batch #3: and the third batch of stmt gives me 2 rows with following table name:
#tempTab_____________________________________________________________000000019D39 #0C4F413A
This clearly shows that the new Table-Variable is created with a random name #0C4F413A on tempdb.
–> Check the full demo here:
SQL Basics – Backup and Restore Database in SQL Server
–> SQL Script to take Backup of a database:
USE [master] GO BACKUP DATABASE [AdventureWorks2014] TO DISK = N'D:\SQL\AdventureWorks2014.bak' WITH NOFORMAT, NOINIT, NAME = N'AdventureWorks2014-Full Database Backup', SKIP, NOREWIND, NOUNLOAD, STATS = 10 GO
–> SQL Script to Restore a Backup file:
USE [master] GO RESTORE DATABASE [TestManDB2] FROM DISK = N'D:\SQL\TestManDB.bak' WITH FILE = 1, MOVE N'TestManDB' TO N'D:\MSSQL\DATA\TestManDB2.mdf', MOVE N'TestManDB_log' TO N'D:\MSSQL\DATA\TestManDB2_log.ldf', NOUNLOAD, STATS = 5 GO
–> Video on how to backup and restore a database:





