Section 131 :Hadoop Cluster management tool equalizer Balancer The actual combat detailed study notes
Why do I need a equalizer?
As the cluster runs, the block on each data storage node in HDFs may be distributed more and more unevenly, resulting in reduced MapReduce locality when running the job . 
One of the essence of distributed computing: data does not move code. Reducing the impact of local performance is a cause, and does not make full use of the resources of the cluster, because the task is calculated to focus on the partial Datanode , which is more prone to failure. 
balancer  block   from busy  datanode   move to busy  datanode  Span style= "font-family: the song Body;" >, reassign  block   and in the production environment there will be  Span style= "font-family:arial;" >rack   balancer   will adhere to  repalication   placement policy,  Span style= "font-family:arial;" >block   distributed to different racks, reducing the likelihood of data corruption. 
Balancer itself constantly moves  blocks until it reaches equilibrium, what is equilibrium?   The usage of each datanode (percentage of space and space capacity used by the current node), and cluster utilization (percentage of the cluster's used space and cluster space capacity),  If the node usage is close to the cluster usage (not exceeding a certain threshold), it is considered to be balanced. How to set this threshold:threshold parameter. 
The default threshold value is 10%. 
Because balancer consumes resources while working, there is only one balancer in the cluster when working . 
Balancer creates a log record of each block redistribution process in the standard log . To reduce cluster load,balancer is designed to run in the background, and the bandwidth to replicate data between different nodes is also limited, and the default is 1mb/s(configurable)
Start-balancer.sh can be run. 
Balancer is very important in the production environment. 
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131th: Hadoop Cluster Management tool Equalizer Balancer practical Detailed learning notes