What is the difference between the flows of 3 parallelisms

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Parallelism's are of 3 types:

1. Component Parallelism: All program components runnings simultaneously on different data sets.


2. Pipeline Parallelism: All program components runnings simultaneously on same data sets. we can break the pipeline parallelism using all sort based components.
Ex: sort, sort within groups, AGG, Rollup, Join, etc.


3. Data Parallelism: Distributes data records into multiple locations using partition components.

Thanks,
Srinivas Rao
 

ab initio supports parallilesm..
parallilesm 3 types
1.component parallilasem: graph running the data sumaltenously on seperate data uses. every component graph creates one component process ..this is calles component parallilesm..  example: replicate

2.data parallilesm : when we used the partition componets in the graph .the graph support the data parallilesm .. data divided into segments..process the each segmented data..this process is called data parallilesm ..  supports  broadcast component.

3.pipeline parallilesm: in the graph running  the data sumultanously using same data.
 data processing on upstream component to down stream component  same data.
every component supports pipeline parellilesm ..some components does't supports pipeline patallilesm they are  sort component. 

this answer help full to u
sudheer

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