Generic Data Reconciliation

Post questions here relative to DataStage Enterprise/PX Edition for such areas as Parallel job design, Parallel datasets, BuildOps, Wrappers, etc.

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kduke
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Post by kduke »

All this is documented on my web site, in a blog and with several posts on this web site.
Mamu Kim
ray.wurlod
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Post by ray.wurlod »

It wasn't just reconciliation - it was also transfer the tables' data and, indeed, create the target tables. Then reconciliation to prove that it all worked.
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kduke
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Post by kduke »

Will you are on your own for the rest.
Mamu Kim
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Post by ray.wurlod »

Yes, I was. Notice the "resolved" status, though.
:wink:
:D
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kduke
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Post by kduke »

Try to help a buddy out and this is all I get. Need a quick whip from Craig about now.
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Post by chulett »

:wink:
-craig

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abc123
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Post by abc123 »

Ray, can you tell me the steps/method you used for 3(a) and 3(b)?

Thanks.
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Post by ray.wurlod »

I've moved on from that client since then. From memory, 3(a) was simply SELECT COUNT(*) FROM TABLE for both source and target, add artificial key ('X'), join and compare.

3(b) was very similar only it was SELECT * FROM TABLE ORDER BY keycolumn (with RCP enabled) and run through Checksum stages before the remainder. To be generic the SQL was built in an upstream server job that queried the system tables to get they key column name(s), and was then passed as a parameter to the comparison job.
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