Crush Algorithms: Tree vs Straw

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I just finished reading the "CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data” paper and it looks like the Tree algorithm is the best compromise between mapping calculations and efficiency of reorganization.  I know the default is Straw and see that almost everyone is using that default, including me.  Is there a reason that Straw is favored over Tree other than it’s just the default.  I’m interested in Tree because it looks like it provides performance improvements over Straw with only a small reorganization hit when OSD’s fail etc…

Thanks, James.

  
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