maropu edited a comment on pull request #32243:
URL: https://github.com/apache/spark/pull/32243#issuecomment-824827326


   ~Ur..., I noticed that generated data are different between the GA 
env(Ubuntu) and my env(MacOS) by following[ the same 
workflow](https://github.com/apache/spark/pull/32243/files#diff-48c0ee97c53013d18d6bbae44648f7fab9af2e0bf5b0dc1ca761e18ec5c478f2R524-R535).
 Probably, the generator behaviour seems to depend on the implementation of 
random functions. I'm currently not sure that we can generate the same data 
between different linux distro, so I need more work (e.g., adding a script to 
generate data on docker env) for making it easy for developers to generate 
data/golden files....~
   
   My bad. I misunderstood it and I just used different seeds `RNGSEED` when 
generating data. I've checked that the current code can generate the same 
TPC-DS data between different env (macos, Ubuntu, Amazon Linux 2, ...).
   
   > @maropu would you mind porting the TPC-DS spec and query update to 
spark-sql-perf when you find some time?
   
   Of course not. Probably, I have time to work on it tomorrow.


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