Raymond,
Thank you.
But I read from other thread
http://apache-spark-user-list.1001560.n3.nabble.com/When-does-Spark-switch-from-PROCESS-LOCAL-to-NODE-LOCAL-or-RACK-LOCAL-td7091.html
that PROCESS_LOCAL means the data is in the same JVM as the code that is
running. When data is in the same JVM
when the data’s source host is not one of the registered executors, it will
also be marked as PROCESS_LOCAL too, though it should have a different NAME for
this. I don’t know did someone change this name very recently. but for 0.9, it
is the case .
When I say satisfy, yes, if the executors
Hi all,
I have a Spark-0.9 cluster, which has 16 nodes.
I wrote a Spark application to read data from an HBase table, which has 86
regions spreading over 20 RegionServers.
I submitted the Spark app in Spark standalone mode and found that there
were 86 executors running on just 3 nodes and it
