Answer / fiero

Is the number of values in each column going to be a constant (i.e. 3 in this case)? If yes, there are couple of ways to do it.

Option 1:
Pass column 1 and 2 to an expression transformation.
Use string functions to determine the positions of commas in column 1 and store the values in individual output fields (e.g. 101 in field 1, 102 in field 2, etc). Do the same with the column 2 values.
Pass the individual o/p fields to a normalizer to transform the columns into rows.

Option 2:
Since the values are separated by comma, you can choose to write column 1 to a flat file target. Do the same with the column 2 values.
Then, use the files created from step 1 as CSV (delimited) file sources and use normalizer to transform them into rows.

Note: Normalizer will work only if the number of columns is known. If the number of columns can vary during run time, then you will have to think of something else.

replace multiple spaces with single space.

3 Answers   IBM,

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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

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