Which of the following has higher latency?
Explanation: Latency in MapReduce is high due to the disk-based I/O operations during processing.
Explanation: Latency in MapReduce is high due to the disk-based I/O operations during processing.
Explanation: If a file is split across multiple blocks, then the seek time will increase as the head will have to change multiple times to reach the section where the data is stored. Therefore, a smaller number of blocks is preferred in MapReduce as the time to process the query will be lesser in this case.
HDFS generally doesn't have storage issues due to its distributed nature.
The size of the metadata for storing information for a single chunk in the system is 10 KB. Suppose there is another Hadoop cluster where the same data has been stored in larger chunks of size 200 MB each. What would be the respective storage space occupied for storing the metadata of these files in each of these clusters?
Note: The size of the metadata for a single chunk is the same for both the systems.
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