In Huawei Fusioninsight HD system, there are 3 data blocks in the storage copy. When the data block is lost on one node, you need to manually copy a copy to the node.

The statement is false. A fundamental feature of the Hadoop Distributed File System (HDFS), which is the core storage component of Huawei FusionInsight HD, is its automatic fault tolerance and self-healing capability. When a DataNode fails or a block replica is lost for any reason, the NameNode detects that the block has become "under-replicated." The NameNode then automatically schedules the creation of a new replica of that block on another available DataNode, using one of the existing valid replicas as the source. This process is entirely automated and does not require any manual intervention from an administrator to copy the data block.

The "True" option is incorrect because it contradicts the core design principles of HDFS. Requiring manual copying of data blocks upon node failure would negate the system's high availability and fault tolerance benefits, making it unmanageable at a large scale. The system is explicitly designed to handle such failures automatically to ensure data durability and availability without administrative action.

1. Huawei FusionInsight HD Product Documentation: The official documentation for FusionInsight HD describes the architecture and reliability mechanisms of its HDFS component. It explicitly states that the NameNode is responsible for maintaining the configured replication factor of data blocks automatically. In the event of a DataNode failure, the NameNode identifies all blocks that have become under-replicated and initiates re-replication on other nodes.

Source: Huawei FusionInsight HD 6.5.1 Administrator Guide, Chapter: "HDFS Architecture," Section: "Reliability." This section details the roles of the NameNode and DataNodes, including the automatic handling of block replication upon failure.

2. Academic Courseware on Distributed Systems: University courses covering large-scale data processing systems consistently teach that HDFS handles replication automatically as a core feature.

Source: University of California, Berkeley, CS 186/286: Introduction to Database Systems, Lecture on "Hadoop & Spark." The lecture notes describe HDFS fault tolerance: "NameNode notices a DataNode has failed (missing heartbeat). It then arranges for the blocks that were on the failed node to be re-replicated on other DataNodes from their other replicas." This confirms the process is automated by the NameNode.

3. Peer-reviewed Publications on Hadoop: Foundational and survey papers on the Hadoop ecosystem detail the fault-tolerance mechanism of HDFS.

Source: Shvachko, K., Kuang, H., Radia, S., & Chansler, R. (2010). The Hadoop Distributed File System. In 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST). (DOI: https://doi.org/10.1109/MSST.2010.5496972). Section 4.2, "Data Replication," explains: "The NameNode detects DataNode failures and initiates replication of blocks on the failed node to other DataNodes." This peer-reviewed paper confirms the automatic nature of the re-replication process managed by the NameNode.