What is the role of the Hadoop process?

One important component within the Hadoop distributed computing framework is the Hadoop process, which is responsible for managing and processing distributed storage and computing tasks. In particular, the Hadoop process is responsible for several key functions:

1. NameNode and DataNode: The NameNode is the primary component of HDFS (Hadoop Distributed File System) responsible for managing the namespace and mapping relationship of data blocks in the file system, while the DataNode is responsible for storing the actual data blocks. These two processes work together to achieve distributed storage of data and high reliability.
2. ResourceManager and NodeManager: ResourceManager is the main component of YARN (Hadoop’s resource management framework), responsible for allocating and scheduling cluster resources, while NodeManager is in charge of resource management and task execution on each node. These two processes work together to efficiently utilize cluster resources and execute tasks in a distributed manner.
3. The SecondaryNameNode is responsible for periodically merging the edit logs of the NameNode, aiding in the recovery of the NameNode’s state, and achieving high availability in HDFS.

Overall, the role of Hadoop processes is to manage and execute large-scale data storage and distributed computing, providing users with a highly reliable and scalable data processing platform.