Sun Rui created SPARK-17522:
-------------------------------
Summary: [MESOS] More even distribution of executors on Mesos
cluster
Key: SPARK-17522
URL: https://issues.apache.org/jira/browse/SPARK-17522
Project: Spark
Issue Type: Improvement
Components: Mesos
Affects Versions: 2.0.0
Reporter: Sun Rui
The MesosCoarseGrainedSchedulerBackend launch executors in a round-robin way
among accepted offers that are received at once, but it is observed that
typically executors are launched on a small number of slaves.
It is found that MesosCoarseGrainedSchedulerBackend mostly is receiving only
one offer once on a cluster composed of many nodes, so that the round-robin
assignment of executors among offers do not have expected result, which leads
to the fact that executors are located on a smaller number of slave nodes than
expected, which suffers bad data locality.
An experimental slight change to
MesosCoarseGrainedSchedulerBackend::buildMesosTasks() shows better executor
distribution among nodes:
{code}
while (launchTasks) {
launchTasks = false
for (offer <- offers) {
...
}
+ if (conf.getBoolean("spark.deploy.spreadOut", true)) {
+ launchTasks = false
+ }
}
tasks.toMap
{code}
A spark program can run 30% faster due to this change because of better data
locality.
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