Github user shubhamchopra commented on the issue: https://github.com/apache/spark/pull/13932 Based on feedback from @rxin, added a Basic Strategy that replicates HDFS behavior as a simpler alternative to the constraint solver. I also ran some performance tests on the constraint solver and saw these numbers: ![image](https://cloud.githubusercontent.com/assets/6588487/17070321/372b28be-5029-11e6-97ce-a89ce90b6fa6.png) The times show average, min and max of 50 runs of the optimizer for 50, 100, ..., 100000 peers placed in appropriate number of racks. When blocks are being replicated, the majority of time is expected to be spent in the actual data movement across the network. These numbers show that the performance hit from the constraint solver can be expected to be minimal.
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