Interested to Buy Any Domain ? << Click Here >> for more details...
Hi All, i have question regarding Change Data Capture in
Informatica. As i know we can do this using Incremental
Aggregation(i never worked on Informatica but i read) and i
think we can do the same with SQL Over write and with
variables. Can someone tell me how do we do this using
other two techniques.. using SQL Over write and variables.
Thanks for the help and greatly appreciated.
- 1 Answers
- 6984 Views
- I also Faced
- E-Mail Answers
Answer Posted / rajesh_audhi
If u have audit columns in the source like load_date we can
easily captured the changed data.we will extract only
changed data thru a query override in source qualifier by
giving like load_date>$$load_date.$$load_date is a mapping
variable which we set this value to the max(load_date)
during run time of session.so that it will store
max(load_date) in the variable and next time when we run the
same mapping it will fetch the source rows based on the
condition load_date>$$load_date.we will set this $$load_date
to max value using setmaxvalue function in any expression
transformation.
| Is This Answer Correct ? | 5 Yes | 0 No |
Post New Answer View All Answers
What is sq transformation?
What is workflow? What are the components of the workflow manager?
I have 10 columns in a flat file and 10 rows corresponding to that columns. I want column number 5 and 6 for last five records. In unix as well as informtica.
What are the popular informatica products?
What all join we can perform in LOOKUP transformation?
Could you explain what is enterprise data warehouse?
What is a joiner transformation?
Explain what are the different types of transformation available in informatica.
What is a standalone command task?
What is the use of target designer?
What are the different components of powercenter?
Enlist the differences between database and data warehouse.
How to join three sources using joiner? Explain though mapping flow.
waht type of interface is used for testing the data in informatica
rank() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid order by case when opt2.dm_market_flg in ('Y', 'U') then 1 else 2 end, lkp.contact_rank) as rank1, case opt2.contact_type when 'Buyer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, ship_to_flg desc , last_order_dt desc) when 'Decision Maker' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc , last_quote_dt desc , mailability_score desc , source_ranking desc) when 'Influencer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) when 'Payer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) --elu 05/28/2013 else row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) end rank2 row_number() over (partition by opt3.dim_plat_site_id, opt3.dim_site_opt_sid order by rank1,rank2) as "rank", case when "rank"<= opt3.maximum_value then 'Y' else 'N' end as include_flg
