Question: The default size of block in Apache HDFS is
Answer:
The default size of a block in Apache Hadoop Distributed File System (HDFS) is 128 megabytes (MB).
HDFS is the distributed file system used by Apache Hadoop, a popular framework for distributed storage and processing of large datasets across clusters of computers. In HDFS, files are divided into fixed-size blocks for efficient storage and processing.
By default, HDFS uses a block size of 128 MB. This means that when a file is stored in HDFS, it is split into chunks or blocks, and each block is typically 128 MB in size. This block size was chosen to balance factors such as storage efficiency, data transfer rates, and parallelism in data processing.
The block size in HDFS can be customized based on specific requirements. Changing the block size can have implications on the storage overhead, data locality, and overall performance of HDFS. Administrators can configure the block size during the setup or modify it later by adjusting the relevant configuration parameter in the Hadoop configuration files.
MCQ: The default size of block in Apache HDFS is
Explanation:
The default size of a block in Apache Hadoop Distributed File System (HDFS) is 128 megabytes (MB).
HDFS is the distributed file system used by Apache Hadoop, a popular framework for distributed storage and processing of large datasets across clusters of computers. In HDFS, files are divided into fixed-size blocks for efficient storage and processing.
By default, HDFS uses a block size of 128 MB. This means that when a file is stored in HDFS, it is split into chunks or blocks, and each block is typically 128 MB in size. This block size was chosen to balance factors such as storage efficiency, data transfer rates, and parallelism in data processing.
The block size in HDFS can be customized based on specific requirements. Changing the block size can have implications on the storage overhead, data locality, and overall performance of HDFS. Administrators can configure the block size during the setup or modify it later by adjusting the relevant configuration parameter in the Hadoop configuration files.
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