Scalable mechanism for detection of commonality in a deduplicated data set

摘要

Mechanisms are provided for efficiently determining commonality in a deduplicated data set in a scalable manner regardless of the number of deduplicated files or the number of stored segments. Information is generated and maintained during deduplication to allow scalable and efficient determination of data segments shared in a particular file, other files sharing data segments included in a particular file, the number of files sharing a data segment, etc. Data need not be expanded or uncompressed. Deduplication processing can be validated and verified during commonality detection.

主权项

1. A method, comprising:
generating a filemap corresponding to a deduplicated file using a processor included in a deduplication system, the filemap including a plurality of filemap indices, a plurality of offsets to identify a plurality of data segments in the deduplicated file, and a plurality of entries identifying last files having placed a reference to corresponding data segments in the deduplicated file; modifying a datastore suitcase, the datastore suitcase including an index portion and a data portion, the data portion holding a plurality of datastore indices corresponding to the filemap indices, a plurality of deduplicated data segments, and a last file entry identifying last files having placed a reference to deduplicated data segments, wherein the datastore suitcase is created when the processor processes a file for deduplication.