Oracle International Corporation

Boris Erlikhman

Juan R Loaiza

Kothanda Umamageswaran

Alexander Tsukerman

Selcuk Aya

Kiran Badrinarain Goyal

Bharat C V Baddepudi

Wei-Ming Hu

Jia Shi

Alex Tsukerman

Neil J S MacNaughton

Roger J Hansen

Adam Y Lee

Vipin Gokhale

Eugene Reddy Ho

Nilesh Choudhury

Umesh Panchaksharaiah

Poojan Kumar

Adrian Ng

Sue-Kyoung Lee

Susy Fan

Timothy L Shetler

J William Lee

Bharat Chandra Baddepudi

Zuoyu Tao

David Friedman

Kesavan P Srinivasan

Juan R Loiza

Kiran B Goyal

Aya Selcuk

Bharat CV Baddepudi

Roger Hansen

A storage device uses non-volatile memory devices for caching. The storage device operates in a mode referred to herein as write-back mode. In write-back mode, a storage device responds to a request to write data by persistently writing the data to a cache in a non-volatile memory device and acknowledges to the requestor that the data is written persistently in the storage device. The acknowledgement is sent without necessarily having written the data that was requested to be written to primary storage. Instead, the data is written to primary storage later.

Write-back storage cache based on fast persistent memory

Techniques are provided for using an intermediate cache to provide some of the items involved in a scan operation, while other items involved in the scan operation are provided from primary storage. Techniques are also provided for determining whether to service an I/O request for an item with a copy of the item that resides in the intermediate cache based on factors such as a) an identity of the user for whom the I/O request was submitted, b) an identity of a service that submitted the I/O request, c) an indication of a consumer group to which the I/O request maps, d) whether the I/O request is associated with an offloaded filter provided by the database server to the storage system, or e) whether the intermediate cache is overloaded. Techniques are also provided for determining whether to store items in an intermediate cache in response to the items being retrieved, based on logical characteristics associated with the requests that retrieve the items.

Selectively reading data from cache and primary storage based on whether cache is overloaded

Techniques are provided for using an intermediate cache between the shared cache of an application and the non-volatile storage of a storage system. The application may be any type of application that uses a storage system to persistently store data. The intermediate cache may be local to the machine upon which the application is executing, or may be implemented within the storage system. In one embodiment where the application is a database server, the database system includes both a DB server-side intermediate cache, and a storage-side intermediate cache. The caching policies used to populate the intermediate cache are intelligent, taking into account factors that may include which object an item belongs to, the item type of the item, a characteristic of the item, or the type of operation in which the item is involved.

Caching data between a database server and a storage system

Techniques are provided for using an intermediate cache to provide some of the items involved in a scan operation, while other items involved in the scan operation are provided from primary storage. Techniques are also provided for determining whether to service an I/O request for an item with a copy of the item that resides in the intermediate cache based on factors such as a) an identity of the user for whom the I/O request was submitted, b) an identity of a service that submitted the I/O request, c) an indication of a consumer group to which the I/O request maps, or d) whether the intermediate cache is overloaded. Techniques are also provided for determining whether to store items in an intermediate cache in response to the items being retrieved, based on logical characteristics associated with the requests that retrieve the items.

Selectively reading data from cache and primary storage

Dirty data in a storage device is made current through rapid re-silvering, which uses a mirrored and up-to-date version of the dirty data from another storage device to recover the data. Because under rapid re-silvering cache metadata in volatile memory survives the failure of the cache, the cache metadata is used to determine which subset of data from the other storage device needs to be copied to the storage device being re-silvered. During re-silvering, cache metadata is used to determine which I/O requests from clients are requests for data that is not stale.

Rapid recovery from loss of storage device cache

Methods, computer-readable media, and computer systems are provided for initiating storage of data on multiple storage devices and confirming storage of the data after the data has been stored on one but not necessarily all of the devices. A storage server receives, from a client, a request to store data. In response to the request, the storage server initiates, in parallel, storage of the data on multiple storage systems. The storage server detects that the data has been stored on any one of the storage systems, such as an auxiliary system, and, in response, indicates, to the client, that the data has been stored. The storage server may flush or discard data on the auxiliary storage system upon detecting that the data has been successfully stored on a target storage system, where the data persists.

Utilizing multiple storage devices to reduce write latency for database logging

Techniques are provided for using an intermediate cache between the shared cache of a database server and the non-volatile storage of a storage system. The intermediate cache may be local to the machine upon which the database server is executing, or may be implemented within the storage system. In one embodiment, the database system includes both a DB server-side intermediate cache, and a storage-side intermediate cache. The caching policies used to populate the intermediate cache are intelligent, taking into account factors that may include which database object an item belongs to, the item type of the item, a characteristic of the item; or the database operation in which the item is involved.

Growing community of inventors

Mountain View, CA, United States of America

Boris Erlikhman