hadoop、zookeeper、hbase、spark的启动和停止顺序

启动:
先启动hadoop集群(在master机器上依次运行start-dfs.sh->start-yarn.sh->mr-jobhistory-daemon.sh start historyserver)
然后启动zookeeper集群(在每个机器上运行bin/zkServer.sh start)
最后启动hbase(在master机器上运行bin/start-hbase.sh)
停止:
先停止hbase(在master机器上运行bin/stop-hbase.sh)
然后停止zookeeper集群(在每个机器上运行bin/zkServer.sh stop)
最后停止hadoop集群(在master机器上依次运行stop-dfs.sh->stop-yarn.sh->mr-jobhistory-daemon.sh stop historyserver)

$ start-dfs.sh && start-yarn.sh
起动:
/usr/local/hadoop-2.7.7/sbin/start-dfs.sh && start-yarn.sh
(/usr/local/hadoop-2.7.7/sbin/start-all.sh)
/usr/local/zookeeper/bin/zkServer.sh start
/usr/local/hbase/bin/start-hbase.sh
/usr/local/spark-2.2.0/sbin/start-all.sh
停止:
/usr/local/spark-2.2.0/sbin/stop-all.sh
/usr/local/hbase/bin/stop-hbase.sh
/usr/local/zookeeper/bin/zkServer.sh stop
/usr/local/hadoop-2.7.7/sbin/stop-dfs.sh && stop-yarn.sh
(/usr/local/hadoop-2.7.7/sbin/stop-all.sh)

===========================
第一次启动hadoop服务之前,必须执行格式化namenode
hdfs namenode -format
删除数据节点中clusterID:
rm -r /home/wjk/mydata/hdfs/datanode/current/

如果hbase以前有数据,要在zk节点删除数据
/usr/local/zookeeper/bin/zkCli.sh
ls /
rmr /hbase

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转载自blog.csdn.net/weixin_36939535/article/details/82734206