Re: yarn does not accept job in cluster mode

2014-09-29 Thread Akhil Das
Can you try running the spark-shell in yarn-cluster mode?

./bin/spark-shell --master yarn-client

Read more over here http://spark.apache.org/docs/1.0.0/running-on-yarn.html

Thanks
Best Regards

On Sun, Sep 28, 2014 at 7:08 AM, jamborta jambo...@gmail.com wrote:

 hi all,

 I have a job that works ok in yarn-client mode,but when I try in
 yarn-cluster mode it returns the following:

 WARN YarnClusterScheduler: Initial job has not accepted any resources;
 check
 your cluster UI to ensure that workers are registered and have sufficient
 memory

 the cluster has plenty of memory and resources. I am running this from
 python using this context:

 conf = (SparkConf()
 .setMaster(yarn-cluster)
 .setAppName(spark_tornado_server)
 .set(spark.executor.memory, 1024m)
 .set(spark.cores.max, 16)
 .set(spark.driver.memory, 1024m)
 .set(spark.executor.instances, 2)
 .set(spark.executor.cores, 8)
 .set(spark.eventLog.enabled, False)

 HADOOP_HOME and HADOOP_CONF_DIR are also set in spark-env.

 thanks,

 not sure if I am missing some config




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Re: yarn does not accept job in cluster mode

2014-09-29 Thread Tamas Jambor
thanks for the reply.

As I mentioned above, all works in yarn-client mode, the problem
starts when I try to run it in yarn-cluster mode.

(seems that spark-shell does not work in yarn-cluster mode, so cannot
debug that way).


On Mon, Sep 29, 2014 at 7:30 AM, Akhil Das ak...@sigmoidanalytics.com wrote:
 Can you try running the spark-shell in yarn-cluster mode?

 ./bin/spark-shell --master yarn-client

 Read more over here http://spark.apache.org/docs/1.0.0/running-on-yarn.html

 Thanks
 Best Regards

 On Sun, Sep 28, 2014 at 7:08 AM, jamborta jambo...@gmail.com wrote:

 hi all,

 I have a job that works ok in yarn-client mode,but when I try in
 yarn-cluster mode it returns the following:

 WARN YarnClusterScheduler: Initial job has not accepted any resources;
 check
 your cluster UI to ensure that workers are registered and have sufficient
 memory

 the cluster has plenty of memory and resources. I am running this from
 python using this context:

 conf = (SparkConf()
 .setMaster(yarn-cluster)
 .setAppName(spark_tornado_server)
 .set(spark.executor.memory, 1024m)
 .set(spark.cores.max, 16)
 .set(spark.driver.memory, 1024m)
 .set(spark.executor.instances, 2)
 .set(spark.executor.cores, 8)
 .set(spark.eventLog.enabled, False)

 HADOOP_HOME and HADOOP_CONF_DIR are also set in spark-env.

 thanks,

 not sure if I am missing some config




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yarn does not accept job in cluster mode

2014-09-27 Thread jamborta
hi all,

I have a job that works ok in yarn-client mode,but when I try in
yarn-cluster mode it returns the following:

WARN YarnClusterScheduler: Initial job has not accepted any resources; check
your cluster UI to ensure that workers are registered and have sufficient
memory

the cluster has plenty of memory and resources. I am running this from
python using this context:

conf = (SparkConf()
.setMaster(yarn-cluster)
.setAppName(spark_tornado_server)
.set(spark.executor.memory, 1024m)
.set(spark.cores.max, 16)
.set(spark.driver.memory, 1024m)
.set(spark.executor.instances, 2)
.set(spark.executor.cores, 8)
.set(spark.eventLog.enabled, False)

HADOOP_HOME and HADOOP_CONF_DIR are also set in spark-env.

thanks,

not sure if I am missing some config




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