parity file

If too many files are missing, the parity files will not have enough base data to work with.

Parity files are constructed according to algorithms of error detection and correction.

Parity files are used to recreate missing data.

Below are examples of software that creates parity files:

These parity files are used to perform checksum verification, and can also repair corrupted or missing data.

As well if there is a corruption only one volume is affected instead of the whole-which can be corrected using parity files.

Later, if any of the protected files are lost, the parity files can be used to re-create the missing files.

With the introduction of Parchive, parity files could be created that were then uploaded along with the original data files.

First, one or more data files are analyzed and a group of 'parity files' are built that record the structure of the files to be protected.

Parchive (a contraction of parity archive volume set) is an erasure code system that uses a parity file format.

SmartPAR is a freeware application for Microsoft Windows for working with Parchive format parity files.

Parity files are files that are created to accompany data files, and are used to preserve data integrity and assist in data recovery.

It also allows the creation of parity files such as parity archive (PAR) to verify and restore missing or corrupted package files.

Even if one or more of the parity files are missing, the remainder of the set can still rebuild missing original files, if there is enough of the backup present.

Hadoop has a RAID system that generates a parity file by xor-ing a stripe of blocks in a single HDFS file.

If any of the data files were damaged or lost while being propagated between Usenet servers, users could download parity files and use them to reconstruct the damaged or missing files.

Some file formats, particularly archive formats, include a checksum (most often CRC32) to detect corruption and truncation and can employ redundancy and/or parity files to recover portions of corrupted data.