Quest Software Inc.

Dell Software Inc.

Bakbone Software, Inc.

Future Wei Technologies, Inc.

Asempra Technologies, Inc.

Other

Instavia Software, Inc.

Huawei Technologies Co., Limited

Siew Sim-Tang

Semen Alexandrovich Ustimenko

Yang Sun

Kamini Jagtiani

Jason Yang Sun

Gangavara Prasad Varakur

Daniel J Fraisl

Anthony N Hoeber

Bai Yang

Yuan Dai

An embodiment method for massively parallel processing includes initiating a management instance on an initial machine, the management instance generating an initial partition corresponding to the initial machine, determining a total number of partitions desired for processing a database, the total number of partitions including the initial partition, determining a number of additional machines available to process the database, grouping the initial machine and the additional machines together in a pod, and launching the management instance on the additional machines in the pod to generate the total number of partitions desired for the database. Additional embodiment methods and an embodiment system operable to perform such methods are also disclosed.

System and method for flexible distributed massively parallel processing (MPP)

An embodiment method for massively parallel processing includes assigning a primary key to a first table in a database and a foreign key to a second table in the database, the foreign key of the second table identical to the primary key of the first table, determining a number of partition groups desired for the database, partitioning the first table into first partitions based on the primary key assigned and the number of partition groups desired, partitioning the second table into second partitions based on the foreign key assigned and the number of partition groups desired, and distributing the first partitions and the second partitions to the partition groups as partitioned. An embodiment system for implementing the embodiment methods is also disclosed.

System and method for flexible distributed massively parallel processing (MPP) database

The present invention provides a distributed clustering method to allow multiple active instances of consistency management processes that apply the same encoding scheme to be cooperative and function collectively. The techniques described herein facilitate an efficient method to apply an erasure encoding and decoding scheme across dispersed data stores that receive constant updates. The technique can be applied on many forms of distributed persistent data stores to provide failure resiliency and to maintain data consistency and correctness.

Method for lock-free clustered erasure coding and recovery of data across a plurality of data stores in a network

A method is integrated into the local operating system of a test machine. The disclosed technique preferably uses a master copy of one or more data objects from a first location to create virtual data objects (e.g., files or folders) that appear to be part of a file system mounted to a test machine in a second location. This disclosure describes a 'projection' method and computer program that enables access to a destination object at a target location immediately upon initiation of a copy command at a source location while a copy operation is carried out in a background manner.

Method and system for creating virtual editable data objects by using a read-only data set as baseline

A data management system (DMS) includes a continuous real-time object store that captures all real-time activities, with associated object metadata information. The DMS is capable of reintroducing any point-in-time view of data ranging from a granular object to an entire file system. A set of algorithms (for creation of a file or directory, modification of a file or directory, deletion of a file or directory, and relocation/renaming of a file or directory) are used to generate and maintain a file system history in the DMS and to ensure that a latest version of a directory always refers to a latest version of its children until the directory changed. Any point-in-time recovery is implemented using the file system history in one of various ways to provide strong individual file integrity, exact point-in-time crash consistency, and/or recovery of last version of all files in the file system.

Recovering a file system to any point-in-time in the past with guaranteed structure, content consistency and integrity

A massively parallel processing (MPP) database can be re-partitioned/re-balanced while remaining on-line through a staged migration procedure. Staged migration may include a first stage and a second stage. During the first stage, entries in an existing partition are reallocated to the new partition, and the catalog is updated to associate the re-allocated entries with both the existing partition and the new partition such that queries for the re-allocated entries are directed toward the existing partition and the new partition. During the second stage, the re-allocated entries are migrated from the existing partition to the new partition, and after the migration is complete, the catalog is re-updated to associate the migrated entries with the new partition such that new queries are directed toward the new partition.

Method for automated scaling of a massive parallel processing (MPP) database

A data management method wherein a real-time history of a database system is stored as a logical representation and the logical representation is then used for any point-in-time recovery of the database system. More specifically, a method for capturing transaction data, binary data changes, metadata, and events, and for tracking a real-time history of a database system according to the events. The method enables tracking and storing of consistent checkpoint images of the database system, and also enables tracking of transaction activities between checkpoints. The database system may be recovered to any consistent checkpoint or to any point between two checkpoints.

Recovering a database to any point-in-time in the past with guaranteed data consistency

A 'forward' delta data management technique uses a 'sparse' index associated with a delta file to achieve both delta management efficiency and to eliminate read latency while accessing history data. The invention may be implemented advantageously in a data management system that provides real-time data services to data sources associated with a set of application host servers. A host driver embedded in an application server connects an application and its data to a cluster. The host driver captures real-time data transactions, preferably in the form of an event journal that is provided to the data management system. In particular, the driver functions to translate traditional file/database/block I/O into a continuous, application-aware, output data stream. A given application-aware data stream is processed through a multi-stage data reduction process to produce a compact data representation from which an &#x201c;any point-in-time&#x201d; reconstruction of the original data can be made.

Method and system for data reduction

A data management system ('DMS') provides an automated, continuous, real-time, substantially no downtime data protection service to one or more data sources. A host driver embedded in an application server captures real-time data transactions, preferably in the form of an event journal. The driver functions to translate traditional file/database/block I/O and the like into a continuous, application-aware, output data stream. The host driver includes an event processor that can perform a recovery operation to an entire data source or a subset of the data source using former point-in-time data in the DMS. The recovery operation may have two phases. First, the structure of the host data in primary storage is recovered to the intended recovering point-in-time. Thereafter, the actual data itself is recovered. The event processor enables such data recovery in an on-demand manner, by allowing recovery to happen simultaneously while an application accesses and updates the recovering data.

Method and system for virtual on-demand recovery

A data management system that protects data into a continuous object store includes a management interface having a time control. The time control allows an administrator to specify a 'past' time, such as a single point or range. When the time control is set to a single point, a hierarchical display of data appears on a display exactly as the data existed in the system at that moment in the past. The time control enables the management interface to operate within a history mode in which the display provides a visual representation of a 'virtual' point in time in the past during which the data management system has been operative to provide the data protection service.

Management interface for a system that provides automated, real-time, continuous data protection

A data management system or 'DMS' provides data services to data sources associated with a set of application host servers. The DMS typically comprises one or more regions, with each region having one or more clusters. A given cluster has one or more nodes that share storage. When providing continuous data protection and data distribution, the DMS nodes create distributed active object storage to provide the necessary real-time data management services. The distributed object store can be built above raw storage devices, a traditional file system, a special purpose file system, a clustered file system, and a database. The DMS active object store provides an indexing service to the active objects. In an illustrative embodiment, any object property that has a given attribute is indexed and, as a result, the attribute becomes searchable. The DMS provides hierarchical distributed indexing using index trees to facilitate searching.

Growing community of inventors

Saratoga, CA, United States of America

Siew Sim-Tang