DSXchange

Hi we have install datastage recently we are facing problem in running the job. Job is getting compiled properly but when we are trying to run job from director nothing is happening. do anybody have any inputs on this

These error may also come when there is loads of parallel processing going on the server

Hi,

I guess it is very difficult to achive this in parallel job. But as you are saying that number of records are less you can built server job

I guess this is problem on source database and not with datastage

I guess you can also use IsValid function which can be called from parallel transformer

Yes DB2. and ODBC stage are passive stages

hi I am getting the following error
Throwing exception: APT_BadAlloc: Heap allocation failed.
when I ran job wiyh more amount of data if I cut down in data job runs fine.

Is it possible to have db2 enterprise stage and db2 api stage in same job.

I am facing problem with job having db2 api stage at source and db2 enterprise stage at target. If I simple change the target stage to api stage the job runs fine.

Hi, parallel extender has many more functinality as comapred to server addition, but also we have take into consideration many things also. specially we have to concentrate on configuration files and partition funda which are key in achiving desired functionality in parallel extender regards legendk...

Thanks again,

but agin my question remains unanswerd. Are there are certain ranges of volume of data for which we can say if this is range use join. if this is range then use lookup etc.

There is no naming standards present for jobs, for naming convention generally follow commmon rules like stage name should give idea what it is doing same thing goes for link names and job name. About design point of view there are best practices to follow There are some standard things which requir...

Hi All,

can any body tell me why basic transformer casuse serious performance problems in parallel job.

And in what cases we should use basic tranformer.

can all fuctinality of basic transformer are achievable through parallel transformer.


Thanks in advance

legendkiller

Hi

Thanks for response.

But what generally defines the small volume of data and what range defines the large volumns of data.

Are there are some standard ranges of volumn of data, so that based on range we clearly say if this is volume of data use lookup other wise join like that.

in what scenario we used join, lookup or merge, I guess they serve common purpose

this problem has occured due to metadata mismatch. specially due to charecter feilds Hi, I created a simple Datastage job which reads from a Sequential file that is loacted on UNIX. I am not able to view the data from this file nor does the data get loaded in the table when I run the job. Any help w...