Difference between server jobs and parallel jobs?

Server jobs:-
1)In server jobs it handles less volume of data.
2)It is having less number of components.
3)Data processing will be slow.
4)Executed by Datastage serve engine
5)compiled into Basic
6)No parallel Capability  is one of the  drawback of Server jobs

Parallel jobs:-
1)It handles high volume of data.
2)Executed by Datastage parallel engine
3)It is having more number of components compared to server jobs.
4)Supports  pipeline and partition parallelsim
5)Compiled into OSH

Similarity Between Server jobs and Parallel jobs:

Runtime monitoring in DataStage Director

COLUMN GENERATOR STAGE

1)The Column Generator Stage  is a development/debug stage.

2)It can have a single  input  link and  a  single  output  link.

3)The  Column  Generator  adds  columns  to  incoming  data  and generates mock data for these columns for each data row processed.This is useful for testing a job when no real test data is available. 

ROW GENERATOR STAGE

1)The Row Generator Stage  is a development/debug stage. The stage has no  input  links and only one output link.  

2)The row generator stage generates a set of mock data fitting the specified metadata. This is useful for testing a job when no real test data is available. 

3)Metadata can be specified using a schema file.

Sort stage

1)Sort  stage  is  a  processing  stage  used  to  perform  sorting  operations  on  input  data.

2)Need for Sorting:
Some stages require sorted input 
ex- Join, merge stages

3)Sort stage requires a ‘key’ to be specified by which the sort is performed.Multiple sort keys can be specified

4)Sort  operation  is  performed  partition wise.To sort  a complete set  of  data, you should  change  the Sort Stage  execution mode  to  sequential. 

5)There are two ways Sort can be performed in Datastage : 

a)Within stages On input link Partitioning tab, set partitioning to anything other than Auto 

b)In a separate Sort stage which has more options like Allow duplicates,case sensitive,sort order(ascending / descending) etc.

By default, both methods use the tsort operator which can be identified in Job score

6)Partitioning keys are often different than Sorting keys 

Keyed partitioning (e.g.Hash) is used to group related records into the same partition  where as Sort keys are used to establish order within each partition