Hadoop(2): Blocks存储管理及读写

1. Replication: 因为每个HDFS被部署在是低成本的商业硬件上(low cost commodity hardware)，所以为了有更佳的Fault Tolerance，HDFS将每个Block备份存储。默认的Replication Factor=3.

Note: The NameNode collects block report from DataNode periodically to maintain the replication factor. Therefore, whenever a block is over-replicated or under-replicated the NameNode deletes or add replicas as needed.

 

 

2. Rack Awareness:Namenode会根据Rack Awareness算法来确保一个Block的3个Replica不在一个Rack上。

 

 

3. HDFS Write：

a. 建立pipline

 

 

 2. Streaming Data

 

3.Shutdown and Acknoledgement:

 

多Blocks的并行操作：

For Block A: 1A -> 2A -> 3A -> 4A
For Block B: 1B -> 2B -> 3B -> 4B -> 5B -> 6B

 

HDFS Read:

https://www.edureka.co/blog/apache-hadoop-hdfs-architecture/#datanode

https://www.coursera.org/learn/big-data-essentials/lecture/JmzZr/block-and-replica-states-recovery-process-1

转载于:https://www.cnblogs.com/rhyswang/p/10442567.html