Abstract: The technology disclosed herein enables the restoration of a database version across cloud environments. In a particular embodiment, a method provides receiving, in a second cloud environment from a first cloud environment, first metadata describing a first data version stored in the first cloud environment. The first data version includes first data items and the first metadata. After receiving the first metadata, the method provides receiving, in the second cloud environment, an instruction to restore the first data items to the second cloud environment. In response to the instruction, the method provides restoring the first data items to the second cloud environment using the first metadata.

Abstract: Described herein is a system that restores a database by processing a portion of the database. The system restores the database to a previous state at a particular time by reverting data entries that have changed since the time to their initial values before the change. Data entries that have changed after the restore time are identified. For the data entries that have changed after the restore time, their initial values before the change are determined from various sources. The system determines a database version that is created most recently before the restore time. The system additionally identifies changes to the database between the restore time and when the database version is created. The initial values can be determined from either the database version or the changes made to the database between the restore time and when the database version is created.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for sub-cluster recovery in a data storage environment having a plurality of storage nodes. In a particular embodiment, the method provides scanning data items in the plurality of nodes. While scanning, the method further provides indexing the data items into an index of a plurality of partition groups. Each partition group includes data items owned by a particular one of the plurality of storage nodes. The method then provides storing the index.

Abstract: The technology disclosed herein enables the restoration of a database version across cloud environments. In a particular embodiment, a method provides receiving, in a second cloud environment from a first cloud environment, first metadata describing a first data version stored in the first cloud environment. The first data version includes first data items and the first metadata. After receiving the first metadata, the method provides receiving, in the second cloud environment, an instruction to restore the first data items to the second cloud environment. In response to the instruction, the method provides restoring the first data items to the second cloud environment using the first metadata.

Abstract: The method disclosed is for instantiating a second cluster based on a first cluster. For at least one node of a second plurality of nodes, generating per node data based on mappings between a plurality of partition groups and a first plurality of nodes, the first plurality of nodes corresponding to the first cluster. The method further discloses identifying data items included in the plurality of partition groups based on the mappings between the plurality of partition groups and the first plurality of nodes. The method further discloses each partition group corresponding to a node of the first plurality of nodes and comprising a subset of data items stored in the node. The method further discloses loading the data items included in the plurality of partition groups onto the second plurality of nodes, the second plurality of nodes corresponding to the second cluster.

Abstract: The method disclosed includes scanning data items stored in the first plurality of nodes of a first cluster. While scanning, creating a partition group index indexing the data items into a plurality of partition groups. Each partition group corresponds to a node of the first plurality of nodes and comprises a subset of data items stored in the node. Storing the index. Instantiating a second cluster, comprising generating per node data, for each node of a second plurality of nodes, based on mappings between the partition groups and the first plurality of nodes. Identifying the data items included in the partition groups according to the partition group index and loading the data items included in the partition groups onto the second plurality of nodes.

Abstract: A method of restoring version data stored across two or more cloud environments is provided. An example method includes accessing, in a second cloud environment, first metadata describing a first data version, the first data version including first data items and first metadata, wherein at least the first data items are stored in a first cloud environment and the first metadata is stored in a third cloud environment. In response to an instruction received in the second cloud environment, the first data items are restored to the second cloud environment using the first metadata.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for sub-cluster recovery in a data storage environment having a plurality of storage nodes. In a particular embodiment, the method provides scanning data items in the plurality of nodes. While scanning, the method further provides indexing the data items into an index of a plurality of partition groups. Each partition group includes data items owned by a particular one of the plurality of storage nodes. The method then provides storing the index.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for infinite versioning by automatic coalescing. In a particular embodiment, a method provides determining an age range for a plurality of data versions stored in a secondary data repository and identifying first data versions of the plurality of data versions that are within the age range. The method further provides determining a compaction ratio for the first data versions and compacting the first data versions based on the compaction ratio.

Abstract: The method disclosed includes scanning data items stored in the first plurality of nodes of a first cluster. While scanning, creating a partition group index indexing the data items into a plurality of partition groups. Each partition group corresponds to a node of the first plurality of nodes and comprises a subset of data items stored in the node. Storing the index. Instantiating a second cluster, comprising generating per node data, for each node of a second plurality of nodes, based on mappings between the partition groups and the first plurality of nodes. Identifying the data items included in the partition groups according to the partition group index and loading the data items included in the partition groups onto the second plurality of nodes.

Abstract: The method disclosed is for instantiating a second cluster based on a first cluster. For at least one node of a second plurality of nodes, generating per node data based on mappings between a plurality of partition groups and a first plurality of nodes, the first plurality of nodes corresponding to the first cluster. The method further discloses identifying data items included in the plurality of partition groups based on the mappings between the plurality of partition groups and the first plurality of nodes. The method further discloses each partition group corresponding to a node of the first plurality of nodes and comprising a subset of data items stored in the node. The method further discloses loading the data items included in the plurality of partition groups onto the second plurality of nodes, the second plurality of nodes corresponding to the second cluster.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for sub-cluster recovery in a data storage environment having a plurality of storage nodes. In a particular embodiment, the method provides scanning data items in the plurality of nodes. While scanning, the method further provides indexing the data items into an index of a plurality of partition groups. Each partition group includes data items owned by a particular one of the plurality of storage nodes. The method then provides storing the index.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for infinite versioning by automatic coalescing. In a particular embodiment, a method provides determining an age range for a plurality of data versions stored in a secondary data repository and identifying first data versions of the plurality of data versions that are within the age range. The method further provides determining a compaction ratio for the first data versions and compacting the first data versions based on the compaction ratio.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for infinite versioning by automatic coalescing. In a particular embodiment, a method provides determining an age range for a plurality of data versions stored in a secondary data repository and identifying first data versions of the plurality of data versions that are within the age range. The method further provides determining a compaction ratio for the first data versions and compacting the first data versions based on the compaction ratio.

Abstract: Systems and methods to process a topology change in a clustered database are described. The system communicates a query to a source storage platform enquiring of a topology change in a clustered database stored on the source storage platform. The system receives a message, at a control computer responsive to communicating the query. The message includes node identifiers identifying nodes including a first node identifier identifying a first node included in the clustered database. The system automatically identifies an addition of the first node to the clustered database on the source storage platform. The system initializes the first node on the source storage platform by communicating a first node agent to the first node. The first node agent is configured to execute on the first node to extract the data image at the source storage platform and stream the data image to the secondary storage platform.

Abstract: Systems and methods for node consistency in a clustered database are described. The system automatically identifies an addition of a first node to a clustered database on a source storage platform. The system initializes the first node on the source storage platform communicating a first node agent to the first node. The first node agent is configured to execute on the first node to extract the operation log at the source storage platform and stream the operation log to the secondary storage platform. The system versions a first version of the clustered database. The versioning of the first version including not storing a version of the operation log associated with the first node at the secondary storage platform responsive to identifying, during the first interval of time, the synchronizing of the operation log at the first node having not been synchronized, in a prior version of the clustered database, with the operation log at the storage platform.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for sub-cluster recovery in a data storage environment having a plurality of storage nodes. In a particular embodiment, the method provides scanning data items in the plurality of nodes. While scanning, the method further provides indexing the data items into an index of a plurality of partition groups. Each partition group includes data items owned by a particular one of the plurality of storage nodes. The method then provides storing the index.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for sub-cluster recovery in a data storage environment having a plurality of storage nodes. In a particular embodiment, the method provides scanning data items in the plurality of nodes. While scanning, the method further provides indexing the data items into an index of a plurality of partition groups. Each partition group includes data items owned by a particular one of the plurality of storage nodes. The method then provides storing the index.

Abstract: Systems and methods to process a topology change in a clustered database are described. The system communicates a query to a source storage platform enquiring of a topology change in a clustered database stored on the source storage platform. The system receives a message, at a control computer responsive to communicating the query. The message includes node identifiers identifying nodes including a first node identifier identifying a first node included in the clustered database. The system automatically identifies an addition of the first node to the clustered database on the source storage platform. The system initializes the first node on the source storage platform by communicating a first node agent to the first node. The first node agent is configured to execute on the first node to extract the data image at the source storage platform and stream the data image to the secondary storage platform.

Abstract: Systems and methods for shard consistency in a clustered database are described. The system identifies an addition of a first shard to a clustered database on a source storage platform. The clustered database includes at least two shards and the first shard includes a first node. The system communicates a first node agent to the first node. The node agent being is configured to execute on the first node to extract a data image and an operation log at the source storage platform and stream the data image and the operation log to the secondary storage platform. The system versions a first version of the clustered database. The versioning includes storing the data image and operation log for the first node at the second storage platform. The timestamp associated with the first shard is different than the timestamp for other shards in the clustered database.