We encounter a problem on a Spark job 1.6(on yarn) that never ends, whene
several jobs launched simultaneously.
We found that by launching the job spark in yarn-client mode we do not have
this problem, unlike launching it in yarn-cluster mode.
it could be a trail to find the cause.
we changed the
We encounter a problem on a Spark job 1.6(on yarn) that never ends, whene
several jobs launched simultaneously.
We found that by launching the job spark in yarn-client mode we do not have
this problem, unlike launching it in yarn-cluster mode.
it could be a trail to find the cause.
we changed the
Hello all,
i'm using spark 1.2 with spark cassandra connector 1.2.3,
i'm trying to update somme rows of table:
example:
*CREATE TABLE myTable (
a text,
b text,
c text,
date timestamp,
d text,
e text static,
f text static,
PRIMARY KEY ((a, b, c), date, d)
) WITH C
We use Spark to build graphs of events after querying cassandra. We use
mapPartition for both aggregating events and building two graphs per
partition. Graphs are returned as Tuple2 as follows :
val nodes = events.mapPartitions(part => {
var nodeLeft : Node = null
var nodeRight