So our task is how to bring up all these 4 rows into one single row with comma separator.
We can do this in 2 methods,

1. Using COALESCE() function
2. Using ISNULL() Function

Actually both are playing same role.

1. Using COALESCE() function

As shown below in the SQL Query below, COALESCE() function takes 2 parameters.
It is check whether passed field value is Null or not if it is null then place with blank whereas if the field value is not null then concatenate value with comma.

2. Using ISNULL() Function

This query also working similar to COALESCE() function.

here value ‘A’ repeating twice. so how to get distinct value from this?
here it is the SQL query for that,

We just write subquery to filter only distinct values and using that as a Table for Outer query.
So here only gives A,B,C.

SELECT DATENAME(mm,'03/03/2010')

Method 1

————

SELECT
CAST
(
FLOOR(CAST(GETDATE() AS FLOAT))
AS DATETIME
)

Method 2–but it is not correct

————————————
This is similar to first method but we have used INT instead of FLOAT . But it will seldom correct. It will not give you the exact date of what you expecting.
So better not to use INT.

SELECT
CAST
(
FLOOR(CAST(GETDATE() AS INT))
AS DATETIME
)

Method 3

———-
i would recommend this method to extract inly date though there are many methods. because this method is very simple and easy.

SELECT
CAST
(
STR(DAY(GETDATE()))+ ‘/’ +
STR(MONTH(GETDATE())) +’/'+
STR(YEAR(GETDATE()))
AS DATETIME
)

Method 4

———-
In this we have used CONVERT function with 113 date type.

SELECT CONVERT(DATETIME, CONVERT(VARCHAR(12), GETDATE(), 113))

Method 5

———-
Here we have used DATEDIFF and DATEADD functions together to extract.get the different between specified date and 0 then again add o with output value of DATEDIFF

SELECT DATEADD(dd, DATEDIFF(dd,0,GETDATE()), 0)

Method 6

———-
This is also similar to previous method. But here we have not used DATEADD instead we have used CAST.

SELECTCAST(DATEDIFF(dd,0,GETDATE() as datetime)

but you can insert all those rows by using one insert into command rather than using more insert into command as shown below,

Let’s say, a table consists two columns which are name1 and email1. But need to show this table data six columns table data.

E.g: name1, email1(Table1) à name1,email1, name2,email2, name3,email3( Table2)

For this we will have to write a small procedure as hown below,

–First we created a temporary table for inserting name1 and email1 data

create table #temp1 (name1  nvarchar(50),email1    nvarchar(50))

insert  into #temp1 values(‘Nimal’,'nimal@abc.com’)

insert  into #temp1 values(‘Ravi’,'ravi@abc.com’)

insert  into #temp1 values(‘Malan’,'malan@abc.com’)

insert  into #temp1 values(‘Vimal’,'vimal@abc.com’)

insert  into #temp1 values(‘Young’,'young@abc.com’)

insert  into #temp1 values(‘John’,'john@abc.com’)

insert  into #temp1 values(‘Susmitha’,'sus@abc.com’)

insert  into #temp1 values(‘Vaani’,'vaani@abc.com’)

insert  into #temp1 values(‘Chris’,'chris@abc.com’)

insert  into #temp1 values(‘Ganesh’,'ganesh@abc.com’)

–Create the Temporary Table with six columns for inserting the data

create table #temp (name1  nvarchar(50),email1    nvarchar(50),name2  nvarchar(50),email2    nvarchar(50),name3  nvarchar(50),email3    nvarchar(50))

–Delete the Data from Temp table before insert

delete from #temp

–Declare Local Variables for Cursor

declare @name as nvarchar(50)

declare @email as nvarchar(50)

declare @name1 as nvarchar(50)

declare  @email1 as nvarchar(50)

declare @name2 as nvarchar(50)

declare @email2 as nvarchar(50)

declare @name3 as nvarchar(50)

declare @email3 as nvarchar(50)

–Declare a Cursor for read the records from the Table

declare cur cursor for

select * from #temp1

–Open the Cursor and Fetch First record into Local variables

open cur

fetch next from cur  into @name,@email

while @@fetch_status=0

begin

–Assign First Record

set @name1=@name

set @email1=@email

–Move to second record and Assign

fetch next from cur  into @name,@email

if (@@fetch_status=0)

begin

set @name2=@name

set @email2=@email

end

else

begin

set @name2=”

set @email2=”

end

–Move to Third record and Assign

fetch next from cur  into @name,@email

if (@@fetch_status=0)

begin

set @name3=@name

set @email3=@email

end

else

begin

set @name3=”

set @email3=”

end

–Insert those three records as one row in to Temp Table

insert into #temp(name1,email1,name2,email2,name3,email3)

values(@name1,@email1,@name2,@email2,@name3,@email3)

–Move to Next record

fetch next from cur  into @name,@email

end

–After read the records close the Cursor

close cur

–Must Deallocate the Cursor for clear from  Memory

deallocate cur

–Populate the Inserted Data from Temporary Table.

select * from #temp

–After that Drop the Temp Table from Database

drop table #temp

drop table #temp1

The PIVOT() function in MS SQL Server is very useful function. This is works like Cross-Tab table in Crystal Report.

Explanation

For an instance, as shown below table, we have customer,Yr,Mothname, and TTL columns. The Year column consisting distinct records 2009,2010 year. If you want to show the Year data as each column header name, then you will have to use the PIVOT() function to show the distinct records as column header.

SELECT user_id Customer,datepart(“yyyy”,order_date) Yr,datename(month,order_date) [Month] ,

isnull(sum(total_value),0) TTL

FROM tbl_po_master group by user_id,datepart(“yyyy”,order_date),datename(month,order_date)

Using PIVOT() function

In PIVOT() function, you must specify the column values as shown below,

select * from

(SELECT user_id Customer,datepart(“yyyy”,order_date) Yr,datename(month,order_date) [Month] ,

isnull(sum(total_value),0) TTL

FROM tbl_po_master group by user_id,datepart(“yyyy”,order_date),datename(month,order_date)  ) s

PIVOT

(

sum(TTL)

FOR yr IN ([2009],[2010])

) p

order by Customer

With our previous query we need to use PIVOT() function and in PIVOT() function have to give the aggregating filed and give the filed/Column name which should show as each column header.

sum(TTL) à This is the Aggregate field

FOR yr IN ([2009],[2010])

Here, give the column name which should show each column header. And give the distinct values of that field as parameter for IN().

After executed the above query you would get this result in which you could notice that 2009,2010 column values became as each column header

In this above query you can give the Month column name instead of Yr column. If try with that you would get the out put as shown below,

Query:

select * from

(SELECT user_id Customer,datepart(“yyyy”,order_date) Yr,datename(month,order_date) [Month] ,

isnull(sum(total_value),0) TTL

FROM tbl_po_master group by user_id,datepart(“yyyy”,order_date),datename(month,order_date)  ) s

PIVOT

(

sum(TTL)

FOR Month IN ([December],[January])

) p

order by Customer

Output:

Now in the output, Month field distinct values (December and January) are showing as column header mean while Yr column values (2009,2010) are showing as row

for an example, from given Text file,

if you want to read this file content, first you have to import the java.io.* class for input/output operations.

then create objects from these 4 classes, which are

1. File - To access the Text file which want to read.
2. FileInputStream – To Read the file content.
3. BufferedInputStream – To buffer the read streams
4. DataInputStream – To read the data which are in buffer.

or else you can import these class individually as shown below,

Here it is the source for this,

output of above source,

whatever in Text File it would give as result.

first we need to check whether he keyed in  positive number then if user keyed in a non-numeric sytem would throw an exception which is NumberFormat exception. we can catch this exception and pop up a message to user to key in a valid number.

Java code for this,

Output for this,

When user key in ‘sd’, system asking him to key in the valid number though keyed in negative value system would ask him to key in again. It would repeat till he key in the positive number.

For this you will have to use one of the window functions in oracle which is ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW.

This would add each and every vale with previous value and give like Running Total.

Query for this,

SELECT PRODUCT_NO,PL_NO,  UNRESTRICTED_QTY,

SUM(UNRESTRICTED_QTY) OVER (ORDER BY PRODUCT_NO ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) RUNNING_TOTAL

FROM PRODUCT_LOCATION

WHERE CLIENT_C=UPPER(‘MSWG’) AND UNRESTRICTED_QTY>0 AND LOCATION_NO=’RECEIPT_BAY‘

row in the result set and adding up the values with currently reading value which is specified by CURRENT ROW up to last record of the record set.

And ordering results by PRODUCT_NO

The result of the above query shown below.