Hive hadoop字数停留在映射0%减少0%

我是一名中国学生，是hadoop 2.7.1的初学者。如果你能解决我的问题，我将不胜感激。 当我最近在pseudo-distributed上运行hadoop WordCount示例时，它停留在map 0%和reduce 0%的位置

作业的日志如下所示：

……
2017-05-14 16:32:55,939 INFO [main]         org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0
2017-05-14 16:32:55,957 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: job_1494750737018_0001Job Transitioned from INITED to SETUP
2017-05-14 16:32:55,960 INFO [CommitterEvent Processor #0] org.apache.hadoop.mapreduce.v2.app.commit.CommitterEventHandler: Processing the event EventType: JOB_SETUP
2017-05-14 16:32:55,988 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: job_1494750737018_0001Job Transitioned from SETUP to RUNNING
2017-05-14 16:32:56,023 INFO [AsyncDispatcher event handler] org.apache.hadoop.yarn.util.RackResolver: Resolved Gil to /default-rack
2017-05-14 16:32:56,034 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskImpl: task_1494750737018_0001_m_000000 Task Transitioned from NEW to SCHEDULED
2017-05-14 16:32:56,036 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskImpl: task_1494750737018_0001_r_000000 Task Transitioned from NEW to SCHEDULED
2017-05-14 16:32:56,038 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: attempt_1494750737018_0001_m_000000_0 TaskAttempt Transitioned from NEW to UNASSIGNED
2017-05-14 16:32:56,038 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: attempt_1494750737018_0001_r_000000_0 TaskAttempt Transitioned from NEW to UNASSIGNED
2017-05-14 16:32:56,039 INFO [Thread-50] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: mapResourceRequest:<memory:1024, vCores:1>
2017-05-14 16:32:56,055 INFO [Thread-50] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: reduceResourceRequest:<memory:1024, vCores:1>
2017-05-14 16:32:56,073 INFO [eventHandlingThread] org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler: Event Writer setup for JobId: job_1494750737018_0001, File: hdfs://localhost:9000/tmp/hadoop-yarn/staging/gil/.staging/job_1494750737018_0001/job_1494750737018_0001_1.jhist
2017-05-14 16:32:56,935 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Before Scheduling: PendingReds:1 ScheduledMaps:1 ScheduledReds:0 AssignedMaps:0 AssignedReds:0 CompletedMaps:0 CompletedReds:0 ContAlloc:0 ContRel:0 HostLocal:0 RackLocal:0
2017-05-14 16:32:56,983 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerRequestor: getResources() for application_1494750737018_0001: ask=3 release= 0 newContainers=0 finishedContainers=0 resourcelimit=<memory:0, vCores:0> knownNMs=1
2017-05-14 16:32:56,984 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:32:56,984 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:32:56,984 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:32:56,985 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:32:57,988 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:32:57,988 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:32:57,988 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:32:57,988 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:32:58,991 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:32:58,991 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:32:58,991 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:32:58,991 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:32:59,994 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:32:59,994 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:32:59,994 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:32:59,994 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:01,000 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:01,000 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:01,001 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:01,001 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:02,003 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:02,003 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:02,004 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:02,004 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:03,006 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:03,007 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:03,007 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:03,007 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:04,009 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:04,010 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:04,010 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:04,010 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:05,014 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:05,014 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:05,014 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:05,014 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:06,019 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:06,019 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:06,020 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:06,020 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:07,022 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:07,022 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:07,022 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:07,022 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:08,025 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:08,025 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:08,025 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:08,025 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2017-05-14 16:33:09,027 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Ramping down all scheduled reduces:0
2017-05-14 16:33:09,028 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Going to preempt 1 due to lack of space for maps
2017-05-14 16:33:09,028 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Recalculating schedule, headroom=<memory:0, vCores:0>
2017-05-14 16:33:09,028 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
……
……
……

我怀疑这与我只剩下5.6GB的硬盘空间有关。因为当我将它从3.xGB清理到5.6GB时，它被卡在接受状态，无法运行。但在我清理了它一点之后，它开始运行，但坚持在地图0%减少0%

此外，当我执行一个配置单元时，它将创建一个map reduce作业，比如

插入xx值（xxx）它也将停留在地图0%减少0%

我的一些环境：

Ubuntu 14.04 64

hadoop-2.7.1

JAVA-8

我该怎么办

多谢各位
 使用默认xml设置，它将解决您的问题，因为您限制了群集资源，可能会错过计算，
单词'default'表示不定义任何与内存相关的规范
在您的情况下：删除

<property>
        <name>yarn.nodemanager.resource.memory-mb</name>
        <value>2200</value>
</property>
<property>
        <name>yarn.scheduler.minimum-allocation-mb</name>
        <value>500</value>
</property>


warn.nodemanager.resource.memory-mb
2200
warn.scheduler.minimum-allocation-mb
500

然后再试一次，如果可行，请查看链接以更好地了解如何设置群集资源。
这对我来说很有用：
1.使用主机名定义其/etc/hosts中的所有集群节点。
2.在所有设置文件（hdfs站点、纱线站点、映射站点）中，使用定义的名称设置主节点

我认为在/etc/hosts中使用不同的名称和主机名可能是导致此故障的原因。
GIl这是HDFS中的内存问题，写入临时数据存在空间紧张问题。
<configuration>
<property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
</property>

<property>
    <name>mapreduce.jobhistory.address</name>
    <value>127.0.0.1:10020</value>
</property>

<property>
    <name>mapreduce.jobhistory.webapp.address</name>
    <value>127.0.0.1:19888</value>
</property>

<property>
    <name>mapred.job.tracker</name>
    <value>127.0.0.1:9001</value>
</property>

</configuration>

ulimit -a
core file size          (blocks, -c) 0
data seg size           (kbytes, -d) unlimited
scheduling priority             (-e) 0
file size               (blocks, -f) unlimited
pending signals                 (-i) 15001
max locked memory       (kbytes, -l) 64
max memory size         (kbytes, -m) unlimited
open files                      (-n) 1024
pipe size            (512 bytes, -p) 8
POSIX message queues     (bytes, -q) 819200
real-time priority              (-r) 0
stack size              (kbytes, -s) 8192
cpu time               (seconds, -t) unlimited
max user processes              (-u) 15001
virtual memory          (kbytes, -v) unlimited
file locks                      (-x) unlimited

<property>
        <name>yarn.nodemanager.resource.memory-mb</name>
        <value>2200</value>
</property>
<property>
        <name>yarn.scheduler.minimum-allocation-mb</name>
        <value>500</value>
</property>