hdfs对namenode format 之后 应该首先检查内存消耗情况,以判断是否支持开启yarn
http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-common/yarn-default.xml 3.0.0
http://hadoop.apache.org/docs/r2.7.5/hadoop-yarn/hadoop-yarn-common/yarn-default.xml
Additionally, a node manager that is configured to have less memory than this value will be shut down by the resource manager.
【1】shutdown -r
【2】cd /usr/local/hadoop;
./root_rm_logs_mydn-nn_roottmp.sh;
[root@bigdata-server-02 hadoop]# cat root_rm_logs_mydn-nn_roottmp.sh
ssh bigdata-server-01 'cd /usr/local/hadoop;rm -rf {mydatanode,mynamenode}/*;rm -rf /tmp/*;rm -rf logs/*';
ssh bigdata-server-02 'cd /usr/local/hadoop;rm -rf {mydatanode,mynamenode}/*;rm -rf /tmp/*;rm -rf logs/*';
ssh bigdata-server-03 'cd /usr/local/hadoop;rm -rf {mydatanode,mynamenode}/*;rm -rf /tmp/*;rm -rf logs/*';
【3】./bin/hdfs namenode -format;
该步后应该检查内存消耗情况,以判断是否支持开启yarn
【4】free -m;
[root@bigdata-server-02 hadoop]# free -m
total used free shared buff/cache available
Mem: 1839 782 667 0 389 906
Swap: 0 0 0