Abstract: A technique for copying data from a source range to a destination range includes identifying a chunk of the source range. The chunk includes multiple logical blocks that map, through a series of source-mapping pages, to a set of virtual pages that point to physical data of the chunk. The technique further includes copying the series of source-mapping pages to form a corresponding series of destination-mapping pages pointed to by the destination range, so that a corresponding chunk of the destination range maps, via the series of destination-mapping pages, to the same set of virtual pages mapped to by the series of source mapping pages.

Abstract: Provided are a computer program product, system, and method for editing a target model to forget data samples. Forget data samples of data samples to forget are inputted into a reference model, trained on a non-private data set, to produce reference output. The forget data samples to forget are inputted to a target model, trained on a total data set comprising the non-private data set and a private data set, to produce target output. The private data set includes the forget data samples A loss function is calculated to measure a divergence of the reference output and the target output. A determination is made of gradients that minimize an error of the loss function. Optimized gradients are calculated from the determined gradients. The optimized gradients are applied to update weights in the target model to produce an edited target model.

Abstract: A technique for copying data from a source range to a destination range includes identifying a chunk of the source range. The chunk includes multiple logical blocks that map, through a series of source-mapping pages, to a set of virtual pages that point to physical data of the chunk. The technique further includes copying the series of source-mapping pages to form a corresponding series of destination-mapping pages pointed to by the destination range, so that a corresponding chunk of the destination range maps, via the series of destination-mapping pages, to the same set of virtual pages mapped to by the series of source mapping pages.

Abstract: A method is disclosed for recovering metadata, the method comprising: identifying a corrupt or missing metadata entry, the corrupt or missing metadata entry being part of a mapping structure that is stored in a random-access memory (RAM) of a storage system; selecting a metadata backup page that is associated with the mapping structure; identifying a plurality of copies of the selected metadata backup page; identifying a most recent copy among the plurality of copies of the selected metadata backup page; and recovering the corrupt or missing metadata entry based on the most recent one of the plurality of copies of the metadata backup page.

Abstract: A method is disclosed for recovering metadata, the method comprising: identifying a corrupt or missing metadata entry, the corrupt or missing metadata entry being part of a mapping structure that is stored in a random-access memory (RAM) of a storage system; selecting a metadata backup page that is associated with the mapping structure; identifying a plurality of copies of the selected metadata backup page; identifying a most recent copy among the plurality of copies of the selected metadata backup page; and recovering the corrupt or missing metadata entry based on the most recent one of the plurality of copies of the metadata backup page.

Abstract: A method is disclosed for recovering data, the method comprising: retrieving a mapping structure associated with a volume in a storage system, the mapping structure including a plurality of entries, each entry including a respective short hash digest of a data block stored in the volume and an identifier of a location where the data block is stored; generating a plurality of long hash digests, each of the long hash digests being generated based on a different one of a plurality of data blocks that are stored in the storage system; comparing each of the long hash digests to a short hash digest of a missing data block, and adding the long hash digest to a candidate list when the long hash digest matches the short hash digest of the missing data block; generating a filtered candidate based on the candidate list; and recovering the missing data.

Abstract: A storage system in one embodiment comprises a plurality of storage devices and a storage controller. The storage controller is configured to scan data pages and associated metadata structures of the storage system, the metadata structures comprising at least a first metadata structure associating unique hash identifiers with physical locations of respective data pages in the storage system and a second metadata structure associating the physical locations of respective data pages with hash digests of the data pages and the unique hash identifiers. The storage controller is further configured to detect an error in one of the first and second metadata structures. Responsive to the detected error, the storage controller recovers a corresponding portion of the metadata based at least in part on one or more entries of the other one of the first and second metadata structures.

Abstract: A method is disclosed for recovering data, the method comprising: retrieving a mapping structure associated with a volume in a storage system, the mapping structure including a plurality of entries, each entry including a respective short hash digest of a data block stored in the volume and an identifier of a location where the data block is stored; generating a plurality of long hash digests, each of the long hash digests being generated based on a different one of a plurality of data blocks that are stored in the storage system; comparing each of the long hash digests to a short hash digest of a missing data block, and adding the long hash digest to a candidate list when the long hash digest matches the short hash digest of the missing data block; generating a filtered candidate based on the candidate list; and recovering the missing data.

Abstract: A storage system in one embodiment comprises a plurality of storage devices and a storage controller. The storage controller is configured to scan data pages and associated metadata structures of the storage system, the metadata structures comprising at least a first metadata structure associating unique hash identifiers with physical locations of respective data pages in the storage system and a second metadata structure associating the physical locations of respective data pages with hash digests of the data pages and the unique hash identifiers. The storage controller is further configured to detect an error in one of the first and second metadata structures. Responsive to the detected error, the storage controller recovers a corresponding portion of the metadata based at least in part on one or more entries of the other one of the first and second metadata structures.