from Source 100 rows are coming, on target there are 5 m
rows which options is better to match data
1. Joiner
2 No cache
3. Static
4. Dynamic
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Answer / chitti
use joiner tr............
you have to take source as master table and target as detail
table
| Is This Answer Correct ? | 0 Yes | 0 No |
Answer / swapnil
It should be un chached coz by this way the 100 records
will directly compare at the database level hence no cache
will get created and will take less time not to create
cache and compare the source records at the db level.
| Is This Answer Correct ? | 0 Yes | 0 No |
Answer / kt
Coolboy answer is correct , if you just want to join.
When u want to update the target then we hsould use DYNAMIC
cache.
| Is This Answer Correct ? | 1 Yes | 2 No |
Answer / nani
5m in the sense five more rows.
based on the above,which post is good?
| Is This Answer Correct ? | 0 Yes | 1 No |
Answer / amarnath
using the joiner is right I have faced similar kind of
scenario in my project. if u use static it has to cache all
the 5m records and then compare the each incoming records
which will de-grade the performance, hence designate the
master record with less no of rows in joiner which is a gud
practice.
| Is This Answer Correct ? | 1 Yes | 2 No |
Joiner :- Catch Performance will work based on
Master,Detail Column,Data catch,Index
catch ,Catch Size also.
(Process Begins with Condition,Comparing, Indexing)
No Catch :-With out Catch, its not easy find(5 records)
Relavtive Data.
Static ;- Catch will Keep the Target Rows to Compare with
Sourece Rows.
(Process Begin with Condition,Comparing).
Dynamic :- The Catch Data will be Update on DataFlow
also. ,,,
| Is This Answer Correct ? | 2 Yes | 4 No |
Answer / kareem
we need to use dynamic lookup because when 110 rows are
coming from the source and 5 m rows are already existing in
the target here the function of the dynamic lookup is used
to share the source rows and insert into the target.
Hope answer your question.
| Is This Answer Correct ? | 4 Yes | 6 No |
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