Hadoop
Question 1 |
The data node and name node in HADOOP are
Worker Node and Master Node respectively | |
Master Node and Worker Node respectively | |
Both Worker Nodes | |
Both Master Nodes |
Question 1 Explanation:
Explanation: Hadoop Distributed File System(HDFS) has a master/slave architecture. An HDFS cluster consists:
1. NameNode, a master server that manages the file system namespace and regulates access to files by clients.
2. DataNodes, usually one per node in the cluster, which manage storage attached to the nodes that they run on. HDFS exposes a file system namespace and allows user data to be stored in files.
Internally, a file is split into one or more blocks and these blocks are stored in a set of DataNodes. The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes. The DataNodes are responsible for serving read and write requests from the file system’s clients. The DataNodes also perform block creation, deletion, and replication upon instruction from the NameNode.
1. NameNode, a master server that manages the file system namespace and regulates access to files by clients.
2. DataNodes, usually one per node in the cluster, which manage storage attached to the nodes that they run on. HDFS exposes a file system namespace and allows user data to be stored in files.
Internally, a file is split into one or more blocks and these blocks are stored in a set of DataNodes. The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes. The DataNodes are responsible for serving read and write requests from the file system’s clients. The DataNodes also perform block creation, deletion, and replication upon instruction from the NameNode.
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