DSXchange

thats good.
i have 1 dataset of 9 billion and have to break this dataset into 1 thousand records 1 dataset only rest we have to ignore so we have smaller dataset for testing it.

And is there any other way by without running any job and using any unix command we can do so?

kamalshil wrote:No i am compiling it on linux shell

Which Lib file is included in C++ program to invoke DataStage API's?
& also list of all API's Available?

I dont know the best way but i think this can work. if i am wrong please correct.
try partitioning means while reading use diffrent partitioning do transformation on diffrent partition type. It will scramble.

elias.shaik wrote:Please post the solution for this,If you find any.

I dont have solution that why asking for some help.

do u have to calculate records from dataset? or its in other format.

Yes i want to break 1 big dataset ino multiple or just 1 dataset. Becuase my all source dataset are very big mean they contains billions of records. So while executing job it takes hours to read from dataset and then it executes job so if any error orccurs lots of time is wasted. i tried orchadmin c...

Hi,
I want to extract Dataset from Bigger Datasets so my job can be completed Quickly.

So is there any way or commands to make this smaller datasets?

Thanks

Hi try using a function to convert string to decimal in the transformer stage: StringToDecimal()

No i am compiling it on linux shell

No i am compiling it on linux shell

"Relpy soon"

Hi, I am trying to run following programm. #include </opt/IBM/InformationServer/Server/DSEngine/include/dsapi.h> #include <iostream.h> #include <string.h> int main() { char SrvName[]={"DEV\0"}; char Username[]={"Kl\0"}; char Pswd[]={"kl\0"}; char name[]={"DataTest\...