zhengruifeng opened a new pull request #30468:
URL: https://github.com/apache/spark/pull/30468


   ### What changes were proposed in this pull request?
   There were a lot of works on improving ALS's recommendForAll
   
   For now, I found that it maybe futhermore optimized by
   
   1, using GEMV;
   
   2, directly aggregate on topK collections (srcId, Array(dstId), 
Array(score)), instead of each element (srcId, (dstId, score));
   
   3, use guava.ordering instead of BoundedPriorityQueue;
   
   
   ### Why are the changes needed?
   In my test, using `f2jBLAS.sgemv`, it is about 2.3X faster than existing 
impl.
   
   
   ### Does this PR introduce _any_ user-facing change?
   No
   
   
   ### How was this patch tested?
   existing testsuites


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