Hadoop 2.6 Connecting to ResourceManager at /0.0.0.0:8032

Question

I´m trying to run the following Spark example under Hadoop 2.6, but I get the following error:

INFO RMProxy: Connecting to ResourceManager at /0.0.0.0:8032 and the Client enters in a loop trying to connect. I´m running a cluster of two machines, one master and a slave.

./bin/spark-submit --class org.apache.spark.examples.SparkPi \
--master yarn-cluster \
--num-executors 3 \
--driver-memory 2g \
--executor-memory 2g \
--executor-cores 1 \
--queue thequeue \
lib/spark-examples*.jar \
10

This is the error I get:

15/12/06 13:38:28 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable  
15/12/06 13:38:29 INFO RMProxy: Connecting to ResourceManager at /0.0.0.0:8032  
15/12/06 13:38:30 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)  
15/12/06 13:38:31 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 1 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)   
15/12/06 13:38:32 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 2 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)   
15/12/06 13:38:33 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 3 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)   
15/12/06 13:38:34 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 4 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)

jps

hduser@master:/usr/local/spark$ jps

4930 ResourceManager 
4781 SecondaryNameNode 
5776 Jps 
4608 DataNode 
5058 NodeManager 
4245 Worker 
4045 Master 

My /etc/host/

/etc/hosts

192.168.0.1 master 
192.168.0.2 slave 

The following lines are desirable for IPv6 capable hosts

::1     ip6-localhost ip6-loopback 

fe00::0 ip6-localnet 

ff00::0 ip6-mcastprefix 

ff02::1 ip6-allnodes 

Solution 1

This error mainly comes when hostname is not configured correctly ...Please check if hostname is configured correctly and same as you have mentioned for Resourcemanager...

Solution 2

I had faced the same problem. I solved it.

Do the Following steps.

1. Start Yarn by using command: start-yarn.sh
2. Check Resource Manager by using command: jps
3. Add the following code to the configuration

<property>
   <name>yarn.resourcemanager.address</name>
   <value>127.0.0.1:8032</value>
</property>

Solution 3

I had also encountered the same issue where I was not able to submit the spark job with spark-submit.

The issue was due to the missing HADOOP_CONF_DIR path while launching the Spark job So, whenever you are submitting the job, set HADOOP_CONF_DIR to appropriate HADOOP CONF directory. Like export HADOOP_CONF_DIR=/etc/hadoop/conf

Comments

[Jose Antonio]

This is my /etc/hosts 192.168.0.1 master 192.168.0.2 slave # The following lines are desirable for IPv6 capable hosts ::1 ip6-localhost ip6-loopback fe00::0 ip6-localnet ff00::0 ip6-mcastprefix ff02::1 ip6-allnodes

[Jose Antonio]

My hostname in the master machine is correct "master" and in the slave machine "slave".

[Ravindra babu]

Do you have # before the ip address of master and slave?

[Jose Antonio]

No I don´t. I do not have any character before the IP

[Jose Antonio]

And in my yarn-site.xml, I have configured yarn.resourcemanager.hostname property with "master" value.

[OneCricketeer]

Could you provide more detail about which properties are "relevant" for the answer here?