我只是通过运行wordcount示例来测试hadoop,但出现了以下错误:
14/07/30 12:03:02 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your
platform... using builtin-java classes where applicable
14/07/30 12:03:03 INFO client.RMProxy: Connecting to ResourceManager at /127.0.0.1:8032
14/07/30 12:03:04 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:8032. Already
tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1
SECONDS)
14/07/30 12:03:05 INFO ipc.Client: Retrying connect to server: localhost/127.0.0.1:8032. Already
tried 1 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1
SECONDS)
互联网上的一些人认为这是因为yarn-site.xml文件。我的是:
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>128</value>
<description>Minimum limit of memory to allocate to each container request at the Resource
Manager.</description>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-mb</name>
<value>1024</value>
<description>Maximum limit of memory to allocate to each container request at the Resource
Manager.</description>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-vcores</name>
<value>1</value>
<description>The minimum allocation for every container request at the RM, in terms of
virtual CPU cores. Requests lower than this won't take effect, and the specified value will
get allocated the minimum.</description>
</property>
<property>
<name>yarn.scheduler.maximum-allocation-vcores</name>
<value>2</value>
<description>The maximum allocation for every container request at the RM, in terms of
virtual CPU cores. Requests higher than this won't take effect, and will get capped to this
value.</description>
</property>
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>2048</value>
<description>Physical memory, in MB, to be made available to running containers</description>
</property>
<property>
<name>yarn.nodemanager.resource.cpu-vcores</name>
<value>2</value>
<description>Number of CPU cores that can be allocated for containers.</description>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
我上周运行了一些程序,效果很好,所以我真的不知道发生了什么。谢谢你的帮助。
1条答案
按热度按时间ac1kyiln1#
我将给出和我在这条线上给出的相同的答案。
确保你已经开始了。使用以下命令启动:
开始-Yarn.sh
然后使用此命令验证资源管理器是否正在运行:
日本
输出应该如下所示:
17542名称节点
17920第二名称节点
22064日元
17703数据节点
18226资源经理
18363节点管理员