DATA REPLICATION WITH ADAPTIVE MODE SWITCHING
A uniform model for distinct types of data replication, including receiving, at a source data repository, an update to a dataset; generating, based on the update to the dataset, both metadata describing the update to the dataset and also a metadata representation of the dataset; and initiating, based on the same metadata describing the update to the dataset and also based on the same metadata representation of the dataset, either a first type of data replication or a second type of data replication from among a plurality of types of data replication.
1 . A method comprising:
based on an update to a dataset that is being replicated with a first type of replication, generating a metadata update to a metadata representation, of the dataset, that is usable with a plurality of replication types and includes one or more logical representations of portions of the dataset; and
using the metadata update, replicating the update to the dataset with a different type of replication.
2 . The method of claim 1 , wherein the first type of replication comprises near-synchronous replication and the different type of replication comprises periodic replication.
3 . The method of claim 1 , wherein the metadata update comprises a logical extent update that references stored data by content identifier.
4 . The method of claim 1 , wherein the metadata representation comprises a directed acyclic graph of metadata nodes associated with the dataset.
5 . The method of claim 1 , wherein the metadata update is generated based on a checkpoint comprising a set of updates that were completed at a source data repository.
6 . The method of claim 5 , further comprising applying the checkpoint at a target data repository to form a tracking volume consistent with the dataset at the source data repository.
7 . The method of claim 1 , wherein replicating the update using the different type of replication is triggered in response to a failure of the first type of replication to meet a recovery point objective.
8 . A system comprising:
a memory storing program instructions; and
a processor, operatively coupled to the memory, configured to execute the program instructions to:
based on an update to a dataset that is being replicated with a first type of replication, generate a metadata update to a metadata representation, of the dataset, that is usable with a plurality of replication types and includes one or more logical representations of portions of the dataset; and
use the metadata update to replicate the update to the dataset with a different type of replication.
9 . The system of claim 8 , wherein the first type of replication comprises near-synchronous replication and the different type of replication comprises periodic replication.
10 . The system of claim 8 , wherein the metadata update comprises a logical extent update that references stored data by content identifier.
11 . The system of claim 8 , wherein the metadata representation comprises a directed acyclic graph of metadata nodes associated with the dataset.
12 . The system of claim 8 , wherein the metadata update is generated based on a checkpoint comprising a set of updates that were completed at a source data repository.
13 . The system of claim 12 , wherein the processor is further configured to apply the checkpoint at a target data repository to form a tracking volume consistent with the dataset at the source data repository.
14 . The system of claim 8 , wherein the processor is further configured to replicate the update using the different type of replication in response to a failure of the first type of replication to meet a recovery point objective.
15 . A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a processor, cause a system to perform operations comprising:
based on an update to a dataset that is being replicated with a first type of replication, generating a metadata update to a metadata representation, of the dataset, that is usable with a plurality of replication types and includes one or more logical representations of portions of the dataset; and
using the metadata update, replicating the update to the dataset with a different type of replication.
16 . The computer-readable medium of claim 15 , wherein the first type of replication comprises near-synchronous replication and the different type of replication comprises periodic replication.
17 . The computer-readable medium of claim 15 , wherein the metadata update comprises a logical extent update that references stored data by content identifier.
18 . The computer-readable medium of claim 15 , wherein the metadata representation comprises a directed acyclic graph of metadata nodes associated with the dataset.
19 . The computer-readable medium of claim 15 , wherein the metadata update is generated based on a checkpoint comprising a set of updates that were completed at a source data repository.
20 . The computer-readable medium of claim 19 , wherein the checkpoint is applied at a target data repository to form a tracking volume consistent with the dataset at the source data repository.