There is no binding issue here. Spark picks the right ip 10.211.55.3 for you.
The printed message is just an indication.
However I have no idea why spark-shell hangs or stops.
发自我的 iPhone
> 在 2015年1月14日，上午5:10，Akhil Das <ak...@sigmoidanalytics.com> 写道：
>
> It just a binding issue with the hostnames in your /etc/hosts file. You can
> set SPARK_LOCAL_IP and SPARK_MASTER_IP in your conf/spark-env.sh file and
> restart your cluster. (in that case the spark://myworkstation:7077 will
> change to the ip address that you provided eg: spark://10.211.55.3).
>
> Thanks
> Best Regards
>
>> On Tue, Jan 13, 2015 at 11:15 PM, jeremy p <athomewithagroove...@gmail.com>
>> wrote:
>> Hello all,
>>
>> I wrote some Java code that uses Spark, but for some reason I can't run it
>> from the command line. I am running Spark on a single node (my
>> workstation). The program stops running after this line is executed :
>>
>> SparkContext sparkContext = new SparkContext("spark://myworkstation:7077",
>> "sparkbase");
>>
>> When that line is executed, this is printed to the screen :
>> 15/01/12 15:56:19 WARN util.Utils: Your hostname, myworkstation resolves to
>> a loopback address: 127.0.1.1; using 10.211.55.3 instead (on interface eth0)
>> 15/01/12 15:56:19 WARN util.Utils: Set SPARK_LOCAL_IP if you need to bind to
>> another address
>> 15/01/12 15:56:19 INFO spark.SecurityManager: Changing view acls to:
>> myusername
>> 15/01/12 15:56:19 INFO spark.SecurityManager: Changing modify acls to:
>> myusername
>> 15/01/12 15:56:19 INFO spark.SecurityManager: SecurityManager:
>> authentication disabled; ui acls disabled; users with view permissions:
>> Set(myusername); users with modify permissions: Set(myusername)
>>
>> After it writes this to the screen, the program stops executing without
>> reporting an exception.
>>
>> What's odd is that when I run this code from Eclipse, the same lines are
>> printed to the screen, but the program keeps executing.
>>
>> Don't know if it matters, but I'm using the maven assembly plugin, which
>> includes the dependencies in the JAR.
>>
>> Here are the versions I'm using :
>> Cloudera : 2.5.0-cdh5.2.1
>> Hadoop : 2.5.0-cdh5.2.1
>> HBase : HBase 0.98.6-cdh5.2.1
>> Java : 1.7.0_65
>> Ubuntu : 14.04.1 LTS
>> Spark : 1.2
>
