Hi Davies,
This was first query on new version.
The one which ran successfully was Spark Pi example
./bin/spark-submit --class org.apache.spark.examples.SparkPi \
--master yarn-client \
--num-executors 3 \
--driver-memory 4g \
--executor-memory 2g \
--executor-cores 1 \
--queue default \
lib/spark-examples*.jar \
10
Then i tried using spark-shell , which was started without any extra memory
Grabage collection or Permgen configurations
./bin/spark-shell --num-executors 2 --executor-memory 512m --master
yarn-client
val t1= sqlContext.sql("select count(*) from table")
t1.show
This one fails with PermGen
I will try on Monday the solution suggested about passing extra PermGen to
driver.
Thanks,
On Sat, Sep 12, 2015 at 2:57 AM, Davies Liu <dav...@databricks.com> wrote:
> Did this happen immediately after you start the cluster or after ran
> some queries?
>
> Is this in local mode or cluster mode?
>
> On Fri, Sep 11, 2015 at 3:00 AM, Jagat Singh <jagatsi...@gmail.com> wrote:
> > Hi,
> >
> > We have queries which were running fine on 1.4.1 system.
> >
> > We are testing upgrade and even simple query like
> >
> > val t1= sqlContext.sql("select count(*) from table")
> >
> > t1.show
> >
> > This works perfectly fine on 1.4.1 but throws OOM error in 1.5.0
> >
> > Are there any changes in default memory settings from 1.4.1 to 1.5.0
> >
> > Thanks,
> >
> >
> >
>
