Resource is not exhausted, why is YARN waiting for resources - hadoop-yarn

Question

I have a 3 node cluster (1 Resource Manager, 2 Node Managers 32GB each).
I just follow the instructions from the apache flink doc YARN Setup when I started the YARN session, Flink run reports not enough resource to start AM. Then I stoped the YARN session, Flink run worked.
Application is Activated, waiting for resources to be assigned for AM. Last Node which was processed for the application : flink02.myminda.com:39826 ( Partition : [], Total resource : , Available resource : ). Details : AM Partition = ; Partition Resource = ; Queue's Absolute capacity = 100.0 % ; Queue's Absolute used capacity = 18.333334 % ; Queue's Absolute max capacity = 100.0 % ;
yarn-site.xml
<?xml version="1.0"?>
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<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.acl.enable</name>
<value>0</value>
</property>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>flink01</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>30720</value>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-mb</name>
<value>30720</value>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>1024</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
<property>
<name>yarn.log.aggregation-enable</name>
<value>false</value>
</property>
</configuration>
mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.map.cpu.vcores</name>
<value>4</value>
</property>
<property>
<name>yarn.app.mapreduce.am.resource.mb</name>
<value>10240</value>
</property>
<property>
<name>yarn.app.mapreduce.am.command-opts</name>
<value>-Xmx8192m</value>
</property>
<property>
<name>mapreduce.map.memory.mb</name>
<value>10240</value>
</property>
<property>
<name>mapreduce.map.java.opts</name>
<value>-Xmx8192m</value>
</property>
<property>
<name>mapreduce.reduce.memory.mb</name>
<value>10240</value>
</property>
<property>
<name>mapreduce.reduce.java.opts</name>
<value>-Xmx8192m</value>
</property>
</configuration>