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:
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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