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direct.h is a C/C++ header file provided by Microsoft Windows, which contains functions for manipulating file system directories. Some POSIX functions that do similar things are in unistd.h . Member functions
allows a user to list the contents of the AFS directory, examine the ACL associated with the directory and access subdirectories. Insert (i) allows a user to add new files or subdirectories to the directory. Delete (d) allows a user to remove files and subdirectories from the directory. Administer (a) allows a user to change the ACL for the ...
Distributed file systems in clouds such as GFS and HDFS rely on central or master servers or nodes (Master for GFS and NameNode for HDFS) to manage the metadata and the load balancing. The master rebalances replicas periodically: data must be moved from one DataNode/chunkserver to another if free space on the first server falls below a certain ...
Apache Hadoop's MapReduce and HDFS components were inspired by Google papers on MapReduce and Google File System. [14] The Hadoop framework itself is mostly written in the Java programming language, with some native code in C and command line utilities written as shell scripts.
Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
Some researchers have made a functional and experimental analysis of several distributed file systems including HDFS, Ceph, Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).
GPFS distributes its directory indices and other metadata across the filesystem. Hadoop, in contrast, keeps this on the Primary and Secondary Namenodes, large servers which must store all index information in-RAM. GPFS breaks files up into small blocks. Hadoop HDFS likes blocks of 64 MB or more, as this reduces the storage requirements of the ...
Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing frameworks around Hadoop.