Merci Nihed, this is one of the tests I did :( still not working
> On Jul 15, 2016, at 8:41 AM, nihed mbarek <nihe...@gmail.com> wrote:
>
> can you try with :
> SparkConf conf = new SparkConf().setAppName("NC Eatery
> app").set("spark.executor.memory", "4g")
> .setMaster("spark://10.0.100.120:7077 <>");
> if (restId == 0) {
> conf = conf.set("spark.executor.cores", "22");
> } else {
> conf = conf.set("spark.executor.cores", "2");
> }
> JavaSparkContext javaSparkContext = new JavaSparkContext(conf);
>
> On Fri, Jul 15, 2016 at 2:31 PM, Jean Georges Perrin <j...@jgp.net
> <mailto:j...@jgp.net>> wrote:
> Hi,
>
> Configuration: standalone cluster, Java, Spark 1.6.2, 24 cores
>
> My process uses all the cores of my server (good), but I am trying to limit
> it so I can actually submit a second job.
>
> I tried
>
> SparkConf conf = new SparkConf().setAppName("NC Eatery
> app").set("spark.executor.memory", "4g")
> .setMaster("spark://10.0.100.120:7077 <>");
> if (restId == 0) {
> conf = conf.set("spark.executor.cores", "22");
> } else {
> conf = conf.set("spark.executor.cores", "2");
> }
> JavaSparkContext javaSparkContext = new JavaSparkContext(conf);
>
> and
>
> SparkConf conf = new SparkConf().setAppName("NC Eatery
> app").set("spark.executor.memory", "4g")
> .setMaster("spark://10.0.100.120:7077 <>");
> if (restId == 0) {
> conf.set("spark.executor.cores", "22");
> } else {
> conf.set("spark.executor.cores", "2");
> }
> JavaSparkContext javaSparkContext = new JavaSparkContext(conf);
>
> but it does not seem to take it. Any hint?
>
> jg
>
>
>
>
>
> --
>
> M'BAREK Med Nihed,
> Fedora Ambassador, TUNISIA, Northern Africa
> http://www.nihed.com <http://www.nihed.com/>
>
> <http://tn.linkedin.com/in/nihed>
>
