Salesforce Com, Inc.

Salesforce, Inc.

Jay Hurst

Samarpan Jain

Jan Asita Fernando

Brian Esserlieu

James Ferguson

Cody Marcel

Charles Fineman

Seshank Kalvala

Sahil Ramrakhyani

Saikiran Perumala

Soumen Bandyopadhyay

Jonathan Bruce

Brian Jaffery Tajuddin

Alex Toussaint

Saptarshi Roy

Siddhi Mehta

Chris Jolley

Reuben Cornel

Stephen L Pepper

Kari L Hotchkiss

John Arlan Brock

Hal Scott Hildebrand

Alexey Syomichev

Purushotham Babu Naidu

Yingwu Zhao

Vikram Kommaraju

Igor Pesenson

Emin Eliot Gerba

David William Spragg

Techniques and architectures for data ingestion in an environment having a distributed data storage system. A request to import data into the environment. The data to be imported from an external source through an application programming interface (API). The request is analyzed to determine if the request corresponds to a request to import a large data load. The data is staged if the request is for the large data load. Data management jobs are created to cause the data to be stored in one or more nodes of the distributed data storage system. The data management jobs are transmitted to corresponding nodes in the distributed data storage system. The jobs are executed asynchronously to cause the data to be stored in the nodes.

Techniques and architectures for importation of large data load

Systems, apparatus, methods and computer program products for deleting data of an object within a multi-tenant database via an efficient delete operation are described herein. The new delete operation (or method) may be configured to identify one or more records to be deleted within a data structure such as an object. In order to ensure that the operation is efficient, the mechanism may determine characteristics of a data store and determine whether the information provided within the data structure provides an efficient identification of the data to be deleted. Upon a successful validation, an initial delete request may be translated to an appropriate delete operation for the underlying database.

Efficiently deleting data from objects in a multi-tenant database system

Disclosed are examples of systems, apparatus, methods and computer program products for deleting data of an object within a multi-tenant database. Described is a mechanism for performing operations such as an efficient delete operation by introducing a new delete operation (or method) that is configured to allow a data structure such as an object to identify one or more records to be deleted. In order to ensure that the operation is efficient, the mechanism may determine characteristics of a data store and determine whether the information provided within the data structure provides an efficient identification of the data to be deleted. Upon a successful validation, an initial delete request may be translated to an appropriate delete operation for the underlying database.

Big object bulk data ingest

Techniques and structures to manage a multi-channel client-server connection is disclosed. A connection session is established between a client and in server response to receiving a call from a first browser interface element to establish the connection session. The session is shared in response to receiving a second call from a second browser interface element to establish a connection session.

Multi-channel session connection management mechanism

Disclosed are examples of systems, apparatus, methods and computer program products for deleting data of an object within a multi-tenant database. Described is a mechanism for performing operations such as an efficient delete operation by introducing a new delete operation (or method) that is configured to allow a data structure such as an object to identify one or more records to be deleted. In order to ensure that the operation is efficient, the mechanism may perform a validation of the values provided to the delete operation based on the type of data store used for storing the records. For example, the validation may ensure that the values provided to the method correspond to a composite primary key when records are stored in a non-relational data store. Upon a successful validation, an initial delete request may be translated to an appropriate delete operation for the underlying database.

Efficiently deleting data from objects in a multi tenant database system

A method and apparatus for a mechanism of disaster recovery and instance refresh in an event recordation system are described. A first request for events associated with a first topic is received. A first set of events associated with the first topic are retrieved from a primary event recordation system. Each event from the first set of events includes a first commit identifier indicating the order with which each event is stored in the primary event recordation system. For each event from the first set of events a first replay identifier is determined based on the first commit identifier and a first value of a low commit identifier. The first replay identifier is exposed to event consumers for identifying the event. In response to the first request each event from the first set of events is transmitted with the replay identifier.

Method and apparatus for a mechanism of disaster recovery and instance refresh in an event recordation system

An in-browser proxy enables an application in a frame to make a cross domain request. The proxy executes within the browser, which has a first domain. The browser provides a frame in which a client application executes, which has a second domain. The request from the client application is a request for data access to the external domain. The proxy identifies a registration of the client application, and forwards the request to the external domain. The proxy receives a response to the request and provides the response back to the client application within the frame.

Cross domain in-browser proxy

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San Francisco, CA, United States of America

Jay Hurst