Salesforce, Inc.

Oracle International Corporation

Bowen Wang

Zhijian Huang

Liang Xie

Peter S Tung

Anil Billapati

Ganesh H Shivaprakash

Lalit Jain

Lovelesh Gupta

Rabicmeeran Kathermytheen

Samuel Louis Kligman

Vinodh Rajagopal

Sunil Dixit

Igor Shmulevich

Ritesh Vaja

Techniques are disclosed relating to filtering messages. A computer system may detect an occurrence of an event of a particular type. The computer system may determine whether to enqueue, in a message queue, a message that identifies a set of tasks to be performed in relation to the event. The determination may be based on a response received from a cache that stores a subset of filter rules of a filter rules table. Based on the response indicating a cache miss, the computer system may enqueue the message in the message queue. A process that processes the message may be operable to resolve the cache miss by 1) accessing a filter rule from the filter rules table that indicates whether messages for events of the particular type should be enqueued in the message queue and 2) updating the cache to store the filter rule.

Progressive caching of filter rules

Methods, computer readable media, and devices for dynamically identifying and associating disparate records are disclosed. One method may include receiving a first set of association criteria, identifying a first source object and a first target object based on the first set of association criteria, creating a first association object indicating an association between the first source object and the first target object, storing the first association object, receiving a second set of association criteria, identifying a second source object and a second target object based on the second set of association criteria, and creating a second association object.

Dynamically identifying and associating disparate records

A method for tracking modifications to tables or relationships. In one embodiment, the method includes updating a first value stored in a first field of a record in a table in response to a database system receiving a first structured query language (SQL) statement from a customer relationship management (CRM) application. A first record is inserted into a history table in response to the first SQL statement, wherein the first record comprises a foreign key field that stores a copy of the primary key of the record, a field that stores a copy of the first value after it is updated, a field that stores a name of the first field, and a first date field. The first date field stores either the date when the first SQL statement was received by the database system, the date of the day that immediately follows the date when the first SQL statement was received by the database system, or a date that was entered into a field of a user interface.

Effective dating for entity attributes and relationships

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Fremont, CA, United States of America

Bowen Wang