Salesforce Com, Inc.

Salesforce, Inc.

Ted Liu

Youngjin Yu

Karthik Mohan Subramanian

Yeshwant Sai Madanagopal

Jeffrey Zoch

Bo Xia

Jesse Yarbro Collins

Donald Tam

Bohan Chen

Sheng Qiao

Donald A Martin

Sunny Lal

Hoang Nguyen

Chris Hoang

Rajiv Yeddu

Varun Mohta

System and methods are described for synchronization of delete operations between primary a secondary databases. The method includes identifying a chunk of records in a secondary database. The method also includes sending a message to a primary database that identifies the chunk of records and asks whether any records of the chunk records are delete-able. The method also includes receiving a response to the message from the primary database. The response indicates which records of the chunk records are delete-able. The method also includes deleting each record of the chunk of records from the secondary database that the message indicated was delete-able.

System and method for synchronizing delete operations between primary and secondary databases

Systems, devices, and techniques are disclosed for multi-threaded dynamic queries on an unpartitioned database. An instruction to perform a database operation on rows of a database may be received. Processing threads may be generated by generating three random numbers. A starting point of a processing thread may be set to a first random number, an offset may be set to a second random number, and an order may be based on a third random number. The processing threads may each generate a dynamic query. A dynamic query generated by a processing thread may include an instruction to perform the database operation on rows of the database based on the offset, starting point, and order for the processing thread. Each dynamic query may be run against the database to perform the database operation.

Multi-threaded dynamic queries on an unpartitioned database

Examples include a ticketing system for managing performance of computer services. The ticketing system includes a ticket database to store a plurality of tickets, each ticket defining a job to be performed on a computing system, and a master to create a ticket, store the ticket in the ticket database, and update the ticket. The ticketing system includes a scheduler to determine whether to create the ticket based at least in part on a set of conditions, and to request the master to create the ticket when the ticket is to be created, and a worker to get the ticket from the master, perform the job defined by the ticket, and request the master to update the ticket with a status of the ticket. The ticketing system includes a supervisor to request the master to find a stale ticket, and, if found, to request the worker to abort performance of the job defined by the stale ticket.

Ticketing system for managing computing services

Examples include a computer-implemented method for determining one or more observations about a computing system, determining a plurality of sets of one or more actions based at least in part on a plurality of policies and the one or more observations; reducing the plurality of sets of one or more actions to generate a reduced set of actions, the reduced set of actions including scheduling a computing system to execute the reduced set of actions by requesting one or more idempotent tickets to be created in a ticketing system; and performing, or causing to be performed, the reduced set of actions.

Convergence scheduling

In a cloud computing environment, a storage space management system provides for uniform collection of usage statistics for storage disks and storage consumers, including usage statistics for a consumers' storage buckets, where a storage bucket represents a logical container of files, objects or other types of stored data for a given consumer. The system enables automated evaluation of space usage policy against the collected statistics. The system enforces the evaluated policy determinations, including queueing jobs that manage storage disk eligibility for storing data and jobs that direct traffic from storage consumers to storage disks that have sufficient storage available.

Policy-based management of disk storage for consumer storge buckets

An automated self-healing database system is provided that includes a primary database, an application server that writes data to the primary database and reads data from the primary database when it is available, a standby database that is a replica of the primary database, and a self-healing module (SHM). The SHM can automatically detect unavailability of the primary database, and if the standby database is available, the SHM can automatically enable the standby database as readable and writable, assign the standby database the role of primary database at the primary site to start replicating data to other standby databases, and use a pre-established connection between the application server and the standby database to allow the application server to read data from the standby database and to write data to the standby database resulting in the standby database assuming role of the primary database at the primary site.

Automated self-healing database system and method for implementing the same

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Los Altos, CA, United States of America

Ted Liu