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From "gaurav.dasgupta" <gaurav.d...@gmail.com>
Subject Re: Yarn configuration file doesn't work when run with yarn-client mode
Date Tue, 20 May 2014 12:17:34 GMT
Few more details I would like to provide (Sorry as I should have provided
with the previous post):

 *- Spark Version = 0.9.1 (using pre-built spark-0.9.1-bin-hadoop2)
 - Hadoop Version = 2.4.0 (Hortonworks)
 - I am trying to execute a Spark Streaming program*

Because I am using Hortornworks Hadoop (HDP), YARN is configured with
different port numbers than the default Apache's default configurations. For
example, *resourcemanager.address* is <IP>:8050 in HDP whereas it defaults
to <IP>:8032.

When I run the Spark examples using bin/run-example, I can see in the
console logs, that it is connecting to the right port configured by HDP,
i.e., 8050. Please refer the below console log:

*/[root@host spark-0.9.1-bin-hadoop2]# SPARK_YARN_MODE=true
SPARK_JAR=assembly/target/scala-2.10/spark-assembly_2.10-0.9.1-hadoop2.2.0.jar
SPARK_YARN_APP_JAR=examples/target/scala-2.10/spark-examples_2.10-assembly-0.9.1.jar
bin/run-example org.apache.spark.examples.HdfsTest yarn-client
/user/root/test
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in
[jar:file:/usr/local/spark-0.9.1-bin-hadoop2/examples/target/scala-2.10/spark-examples_2.10-assembly-0.9.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/usr/local/spark-0.9.1-bin-hadoop2/assembly/target/scala-2.10/spark-assembly_2.10-0.9.1-hadoop2.2.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an
explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
14/05/20 06:55:29 INFO slf4j.Slf4jLogger: Slf4jLogger started
14/05/20 06:55:29 INFO Remoting: Starting remoting
14/05/20 06:55:29 INFO Remoting: Remoting started; listening on addresses
:[akka.tcp://spark@<IP:60988]
14/05/20 06:55:29 INFO Remoting: Remoting now listens on addresses:
[akka.tcp://spark@&lt;IP>:60988]
14/05/20 06:55:29 INFO spark.SparkEnv: Registering BlockManagerMaster
14/05/20 06:55:29 INFO storage.DiskBlockManager: Created local directory at
/tmp/spark-local-20140520065529-924f
14/05/20 06:55:29 INFO storage.MemoryStore: MemoryStore started with
capacity 4.2 GB.
14/05/20 06:55:29 INFO network.ConnectionManager: Bound socket to port 35359
with id = ConnectionManagerId(<IP>,35359)
14/05/20 06:55:29 INFO storage.BlockManagerMaster: Trying to register
BlockManager
14/05/20 06:55:29 INFO storage.BlockManagerMasterActor$BlockManagerInfo:
Registering block manager <IP>:35359 with 4.2 GB RAM
14/05/20 06:55:29 INFO storage.BlockManagerMaster: Registered BlockManager
14/05/20 06:55:29 INFO spark.HttpServer: Starting HTTP Server
14/05/20 06:55:29 INFO server.Server: jetty-7.x.y-SNAPSHOT
14/05/20 06:55:29 INFO server.AbstractConnector: Started
SocketConnector@0.0.0.0:59418
14/05/20 06:55:29 INFO broadcast.HttpBroadcast: Broadcast server started at
http://<IP>:59418
14/05/20 06:55:29 INFO spark.SparkEnv: Registering MapOutputTracker
14/05/20 06:55:29 INFO spark.HttpFileServer: HTTP File server directory is
/tmp/spark-fc34fdc8-d940-420b-b184-fc7a8a65501a
14/05/20 06:55:29 INFO spark.HttpServer: Starting HTTP Server
14/05/20 06:55:29 INFO server.Server: jetty-7.x.y-SNAPSHOT
14/05/20 06:55:29 INFO server.AbstractConnector: Started
SocketConnector@0.0.0.0:53425
14/05/20 06:55:29 INFO server.Server: jetty-7.x.y-SNAPSHOT
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/storage/rdd,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/storage,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/stages/stage,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/stages/pool,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/stages,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/environment,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/executors,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/metrics/json,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/static,null}
14/05/20 06:55:29 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/,null}
14/05/20 06:55:29 INFO server.AbstractConnector: Started
SelectChannelConnector@0.0.0.0:4040
14/05/20 06:55:29 INFO ui.SparkUI: Started Spark Web UI at http://<IP>:4040
14/05/20 06:55:29 WARN util.NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
14/05/20 06:55:29 INFO spark.SparkContext: Added JAR
/usr/local/spark-0.9.1-bin-hadoop2/examples/target/scala-2.10/spark-examples_2.10-assembly-0.9.1.jar
at http://<IP>:53425/jars/spark-examples_2.10-assembly-0.9.1.jar with
timestamp 1400586929921
14/05/20 06:55:30 INFO client.RMProxy: Connecting to ResourceManager at
<IP>:8050
14/05/20 06:55:30 INFO yarn.Client: Got Cluster metric info from
ApplicationsManager (ASM), number of NodeManagers: 9
14/05/20 06:55:30 INFO yarn.Client: Queue info ... queueName: default,
queueCurrentCapacity: 0.0, queueMaxCapacity: 1.0,/*

But, when I running my own custom spark streaming code, it is trying to
connect to port number 8032 instead and hence unable to connect. Refer the
below log:

*/[root@host spark-0.9.1-bin-hadoop2]# SPARK_YARN_MODE=true
SPARK_JAR=assembly/target/scala-2.10/spark-assembly_2.10-0.9.1-hadoop2.2.0.jar
SPARK_YARN_APP_JAR=/home/gaurav/SparkStreamExample.jar java -cp
/home/gaurav/SparkStreamExample.jar:assembly/target/scala-2.10/spark-assembly_2.10-0.9.1-hadoop2.2.0.jar
SparkStreamExample yarn-client <IP> 9999
log4j:WARN No appenders could be found for logger
(akka.event.slf4j.Slf4jLogger).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for
more info.
14/05/20 07:04:38 INFO SparkEnv: Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties
14/05/20 07:04:38 INFO SparkEnv: Registering BlockManagerMaster
14/05/20 07:04:38 INFO DiskBlockManager: Created local directory at
/tmp/spark-local-20140520070438-5eae
14/05/20 07:04:38 INFO MemoryStore: MemoryStore started with capacity 4.2
GB.
14/05/20 07:04:38 INFO ConnectionManager: Bound socket to port 49869 with id
= ConnectionManagerId(<IP>,49869)
14/05/20 07:04:38 INFO BlockManagerMaster: Trying to register BlockManager
14/05/20 07:04:38 INFO BlockManagerMasterActor$BlockManagerInfo: Registering
block manager <IP>:49869 with 4.2 GB RAM
14/05/20 07:04:38 INFO BlockManagerMaster: Registered BlockManager
14/05/20 07:04:38 INFO HttpServer: Starting HTTP Server
14/05/20 07:04:38 INFO HttpBroadcast: Broadcast server started at
http://<IP>:36946
14/05/20 07:04:38 INFO SparkEnv: Registering MapOutputTracker
14/05/20 07:04:38 INFO HttpFileServer: HTTP File server directory is
/tmp/spark-414ba274-adc0-4a0e-b1a4-9c1f048cbf37
14/05/20 07:04:38 INFO HttpServer: Starting HTTP Server
14/05/20 07:04:38 INFO SparkUI: Started Spark Web UI at http://<IP>:4040
14/05/20 07:04:38 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
14/05/20 07:04:38 INFO SparkContext: Added JAR
/home/gaurav/SparkStreamExample.jar at
http://<IP>:40053/jars/SparkStreamExample.jar with timestamp 1400587478500
14/05/20 07:04:38 INFO RMProxy: Connecting to ResourceManager at
/0.0.0.0:8032
14/05/20 07:04:39 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=1 SECONDS)
14/05/20 07:04:40 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=1 SECONDS)
14/05/20 07:04:41 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=1 SECONDS)
14/05/20 07:04:42 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=1 SECONDS)/*

Do I need to specify the YARN ports configured by HDP to Spark somehow? How
the example jobs can detect the correct YARN ports?

Thanks in advance.

-- Gaurav



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