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international conference on data engineering | 2017

Improving Predictable Shared-Disk Clusters Performance for Database Clouds

Anjan Kumar Amirishetty; Yunrui Li; Tolga Yurek; Mahesh Girkar; Wilson Wai Shun Chan; Graham Ivey; Vsevolod Panteleenko; Ken Wong

Oracles Real Application Cluster (RAC) allows multiple database instances to run on different server nodes in a cluster against a shared set of data files. A critical aspect of an Oracle RAC system is that of instance recovery. When a node suffers from a hardware failure, or a database instance suffers from a software failure, instance recovery is performed by a surviving instance to ensure that the database remains in a consistent state. High-availability comes from the surviving database instances, each running on a surviving node, that are still able to provide database services. During instance recovery, the set of database resources that are in need of recovery must be identified, locked and then repaired. Until such time as the identification and locking of these resources has been done, Oracle needs to block any requests by database clients to all database resources. The whole database appears to be frozen during this time, a period that is called application brown-out. In the interests of availability it is therefore important that instance recovery endeavors to keep this period of identification and locking as short as possible. In doing so, not only is the brown-out period reduced, but also the overall time to make available those resources that need repair, is reduced. This paper describes the use of a Buddy Instance, a mechanism that significantly reduces the brown-out time and therefore also, the duration of instance recovery. Each database instance has a buddy database instance whose purpose is to construct in-memory metadata that describes the resources needing recovery, on a continuous basis at run-time. In the event of node or instance failure, the buddy instance for the failed instance uses the in-memory metadata in performing instance recovery. The buddy instance mechanism was introduced in the 12.2.0.1 release of Oracle Database to minimize and potentially eliminate the period of identification of resources needing recovery. This mechanism was enhanced in the 12.2.0.2 release of Oracle Database by the construction of a Bloom filter that temporarily serves the purpose of locking the identified resources, thereby enabling the database to be made available sooner than was previously the case.


Archive | 2006

Database system configured for automatic failover with no data loss

George H. Claborn; Stephen John Vivian; Robert R. Mcguirk; Mahesh Girkar; Benedito Elmo Garin; Raymond Guzman; Douglas Voss


Archive | 2011

Database system configured for automatic failover with user-limited data loss

Stephen John Vivian; George H. Claborn; Mahesh Girkar; Vinay Srihari; Steve Taihung Lee


Archive | 2007

No data loss system with reduced commit latency

Mahesh Girkar; Steven McGee; David Gagne


Archive | 2004

Real-time apply mechanism in standby database environments

Mahesh Girkar; Benedicto Elmo Garin; Joydip Kundu


Archive | 2011

Method for maximizing throughput and minimizing transactions response times on the primary system in the presence of a zero data loss standby replica

Benedicto Elmo Garin; Mahesh Girkar; Yunrui Li; Vsevolod Panteleenko; Vinay Srihari


Archive | 2005

Replica database maintenance with parallel log file transfers

Benedicto Elmo Garin; Robert R. Mcguirk; Mahesh Girkar


Archive | 2010

Controlling data lag in a replicated computer system

Jia Shi; Wei M. Hu; Vinay Srihari; Yunrui Li; Mahesh Girkar; Benedicto Elmo Garin


Archive | 2002

Transforming transactions to increase parallelism when replicating

Joydip Kundu; Mahesh Girkar


Archive | 2013

ZERO AND NEAR-ZERO DATA LOSS DATABASE BACKUP AND RECOVERY

Jin-Jwei Chen; Benedicto Elmo Garin; Mahesh Girkar; Raymond Guzman

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