What is the difference between link sort and sort stage in DataStage?
What is the difference between link sort and sort stage in DataStage?
What is the difference between link sort and sort stage in DataStage?
“Link Sort” uses scratch disk (physical location on disk), whereas “Sort Stage” uses server RAM (Memory). Hence we can change the default memory size in “Sort Stage”.
What is parallel job in DataStage?
Datastage parallel job process is a program created in Datastage Designer using a GUI. It is monitored and executed by Datastage Director. The Datastage parallel job includes individual stages where each stage explains different processes.
What is funnel stage in Datastage?
The Funnel stage is a processing stage that copies multiple input data sets to a single output data set. You can use this operation for combining separate data sets into a single large data set. The Funnel stage is a processing stage. It copies multiple input data sets to a single output data set.
How do you use aggregator stage in Datastage?
Pages
- The Aggregator Stage:
- Aggregation Method:
- 1)Hash:Use hash mode for a relatively small number of groups; generally, fewer than about 1000 groups per megabyte of memory.
- 2)Sort: Sortmode requires the input data set to have been partition sorted with all of the grouping keys specified as hashing and sorting keys.
How do I remove duplicates in Datastage?
There are multiple ways to remove duplicates other than using Remove Duplicates Stage. As stated above you can use Sort stage, Transformer stage. In sort stage, you can enable Key Change() column and it will be useful to filter the duplicate records. You can use Aggregator stage to remove duplicates.
How do you sort data without sorting stage?
There is no way to do that. You have to use a sort stage, in line sort or SQL. That’s ridiculous that someone is telling you to do something that is not possible. You need to use DataStage the way it is intended and the way it works.
How do you implement SCD Type 2 in DataStage?
Read the incoming records through any input stage like sequential file/dataset/table. Do the required processing for the incoming data. After the above processing step, pass the data into the change capture stage.