hadoop学习记录

hdfs上送文件命令：

bin/hadoop fs -put /usr/local/product/hbase-0.94.6/hbase-0.94.6.jar libs/hbase/hbase-0.94.6.jar

hdfs删除文件命令：

hadoop fs -rm libs/hbase

用户日志存在于logs/userlogs/job_名称下面，每个map任务会有一个syslog文件。用户的log4j日志就在syslog存放。
关于hadoop中的classpath:
修改hadoop-env.sh中export HADOOP_CLASSPATH一行，修改后无须重启hadoop.

map-task超时时间

mapred.task.timeout

hadoop中每个节点map和reduce个数的设置,map和reduce的并发数就等于CPU的总核数

<property>
    <name>mapred.tasktracker.map.tasks.maximum</name>
    <value>4</value>
</property>

<property>
    <name>mapred.tasktracker.reduce.tasks.maximum</name>
    <value>4</value>
</property>

hadoop报错:

WARN org.apache.hadoop.hdfs.server.namenode.FSNamesystem: Cannot roll edit log, edits.new files already exists

修复办法:
2、修改namenode的hdfs-site.xml文件中的内容：

<property>
  <name>dfs.secondary.http.address</name>
  <value>0.0.0.0:50090</value>
  <description>
    The secondary namenode http server address and port.
    If the port is 0 then the server will start on a free port.
  </description>
</property>

将上述的0.0.0.0修改为你部署secondarynamenode的主机名就OK了！

hadoop Java heap space解决办法,修改mapred-site.xml,加入

<property> 
  <name>mapred.child.java.opts</name> 
  <value>-Xmx1024m</value> 
</property>

然后启动任务,在task节点上通过ps -ef|grep jobCache查看进程xmx参数是否改变

mapr-site.xml内容:

<configuration>
        <property>
<name>mapred.job.tracker</name>
<value>v005:9001</value>
</property>

<property>
<name>mapred.task.timeout</name>
<value>8640000000</value>
</property>
</configuration>

WARNING : There are about 1 missing blocks. Please check the log or run fsck.
解决方案：
$ bin/hadoop fsck /
/home/zhaozheng/hdfs/README.txt: CORRUPT block blk_4085337189286784361

/home/zhaozheng/hdfs/README.txt: MISSING 1 blocks of total size 1366 B.Status: CORRUPT
Total size:    1366 B
Total dirs:    0
Total files:    1
Total blocks (validated):    1 (avg. block size 1366 B)
********************************
CORRUPT FILES:    1
MISSING BLOCKS:    1
MISSING SIZE:        1366 B
CORRUPT BLOCKS:     1
********************************
Minimally replicated blocks:    0 (0.0 %)
Over-replicated blocks:    0 (0.0 %)
Under-replicated blocks:    0 (0.0 %)
Mis-replicated blocks:        0 (0.0 %)
Default replication factor:    2
Average block replication:    0.0
Corrupt blocks:        1
Missing replicas:        0
Number of data-nodes:        2
Number of racks:        1

$bin/hadoop dfs -rm /home/zhaozheng/hdfs/README.txt
$bin/hadoop fsck /
.Status: HEALTHY
Total size:    4 B
Total dirs:    12
Total files:    1
Total blocks (validated):    1 (avg. block size 4 B)
Minimally replicated blocks:    1 (100.0 %)
Over-replicated blocks:    0 (0.0 %)
Under-replicated blocks:    0 (0.0 %)
Mis-replicated blocks:        0 (0.0 %)
Default replication factor:    2
Average block replication:    2.0
Corrupt blocks:        0
Missing replicas:        0 (0.0 %)
Number of data-nodes:        2
Number of racks:        1

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