Github user ankurcha commented on the pull request:
https://github.com/apache/spark/pull/5563#issuecomment-115817093
I confirmed the behaviour:
```scala
val NUM_SAMPLES = 100000
val count = sc.parallelize(1 to NUM_SAMPLES).map{i =>
val x = Math.random()
val y = Math.random()
if (x*x + y*y < 1) 1 else 0
}.reduce(_ + _)
println("Pi is roughly " + 4.0 * count / NUM_SAMPLES)
```
when spark.mesos.constraints = `zone:us-east-1e` the job was allocated
nodes only on that matching offers. When this was removed, old behaviour was
observed.
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