How will u find weather dimension table is big in size of a
fact table?
Answer Posted / tadikonda
if u have toad, u can find the tool option tab under that
ESTIMATE TABLE SIZE option,in that u can define the table
name and schema name ,in that way u can find which table is
big in size
| Is This Answer Correct ? | 1 Yes | 0 No |
Post New Answer View All Answers
What is a standalone command task?
Under what conditions selecting sorted input in aggregator will still not boost session performance?
Separate from an archive server and a powerhouse?
draw informatica architecture 8.6 ?
What do you mean by blocking transformation?
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
Performance tuning( what you did in performance tuning)
One of the optimizing technique to improve the session performance is push down optimization,by using push down optimization we push as much as transformation logic to source/target database,but this degrades the d/b performance,how to overcome this?
where to store informatica rejected data? How to extract the informatica rejected data?
What is Data Caches size?
What is the use of an aggregator cache file?
Explain sessions?
What is a passive transformation?
What is a filter transformation and why it is an active one?
What does command task mean?