Salesforce Com, Inc.

Ebay, Incorporated

Daniel C Silver

Donovan Schneider

Vijayasarathy Chakravarthy

Fred Im

Saptarshi Roy

Ryan Lamore

Nicholas Geh

Srirama Koneru

Medha Pradhan

Naveen Purushothama Rao

Anselm Paul Baird-Smith

Methods are disclosed for dynamic node allocation for a server system that can automatically heal on failure&#x2014;minimizing the need for static configuration&#x2014;dynamically adjusting server resources to match load, and minimize end user wait times. The disclosed methods dynamically allocate nodes to increase capacity for a platform that accepts data queries. Additionally disclosed is a system for rolling version update deployment: workers maintain org lists of org-task-queues that they service; org-affinities between the workers and the org-task-queues require the workers to have access to local copies of immutable data sets to service org-tasks from the org-task-queues of the orgs that they service. A leader running on a worker implements a healing and balancing service that maintains worker redundancy, manages the workers' org-affinities to accumulate orgs on their respective org-lists. The leader implements messaging to the workers to update to a new software version and monitors completion of updates.

Rolling version update deployment utilizing dynamic node allocation

A predicate-based row level security system is used when workers build or split an analytical data store. According to one implementation, predicate-based means that security requirements of source transactional systems can be used as predicates to a rule base that generates one or more security tokens, which are associated with each row as attributes of a dimension. Similarly, when an analytic data store is to be split, build job, user and session attributes can be used to generate complementary security tokens that are compared to security tokens of selected rows. Efficient indexing of a security tokens dimension makes it efficient to qualify row retrieval based on security criteria.

Row level security integration of analytical data store with cloud architecture

Dynamic allocation of stateful nodes for healing and load balancing

Low latency communication between a transactional system and analytic data store resources can be accomplished through a low latency key-value store with purpose-designed queues and status reporting channels. Posting by the transactional system to input queues and complementary posting by analytic system workers to output queues is described. On-demand production and splitting of analytic data stores requires significant elapsed processing time, so a separate process status reporting channel is described to which workers can periodically post their progress, thereby avoiding progress inquiries and interruptions of processing to generate report status. This arrangement produces low latency and reduced overhead for interactions between the transactional system and the analytic data store system.

Low latency architecture with directory service for integration of transactional data system with analytical data structures

A system and method are provided to process listing data in a network-based commerce system, for example, a network-based auction facility. The method may comprise providing a user with a graphic user interface to enter listing data in the network-based commerce system, the listing data including at least one entered word. A database including a plurality of reference words that relate to listings provided by the network-based commerce system may then be investigated. If at least one entered word is misspelled, the method may include identifying at least one suggested word from the plurality of reference words and communicating the at least one suggested word to the user. In one embodiment, the reference words include words frequently misspelled and the at least one suggested word is the correct spelling of the word. The at least one suggested word may be associated with at least one category associated with a listing.

Method and system to enhance data integrity in a database

Growing community of inventors

Los Altos, CA, United States of America

Daniel C Silver