Abstract:
In accordance with embodiments disclosed herein, there are provided mechanisms and methods for batch processing in an on-demand service environment. For example, in one embodiment, mechanisms include receiving a processing request for a multi-tenant database, in which the processing request specifies processing logic and a processing target group within the multi-tenant database. Such an embodiment further includes dividing or chunking the processing target group into a plurality of processing target sub-groups, queuing the processing request with a batch processing queue for the multi-tenant database among a plurality of previously queued processing requests, and releasing each of the plurality of processing target sub-groups for processing in the multi-tenant database via the processing logic at one or more times specified by the batch processing queue.
Abstract:
Techniques and mechanisms for conversion of code of a first type to bytecode. Apex provides various unique characteristics. When converting to bytecode, these characteristics are handled to provide bytecode functionality. Some of the unique characteristics of Apex include Autoboxing, SOQL, Properties, Comparisons, Modifiers, Code coverage mechanisms and Sharing mechanisms.
Abstract:
Techniques and mechanisms for providing asynchronous web service calls in an on-demand services environment. In response to request from a remote client, a page is provided. The page has content including logic to retrieve information from a remote resource external to an on-demand services environment via at least one asynchronous web service call. A controller component of the page is loaded before rendering a response to the remote computing device. At least one web service call is sent to the remote resource with the controller component. A continuation object is returned with the controller component to release the first thread from waiting for a response to the web service call. The continuation object provides a label to be used when handling the response. The response to the web service call is received from the remote resource and processing is resumed with the continuation object.
Abstract:
The technology disclosed describes systems and methods for implementing global profiling to track resource usage and performance for multiple threads across multiple servers for a cloud-based system. This disclosed technology provides global profiling to track resource usage across any part of a transaction as it passes between layers of a computing stack regardless of the language being executed, on logically different virtual machines across multiple servers. After data collection stops, the disclosed technology combines the results into a configurable profile view that accurately represents the order of execution of applications and methods, as though they ran on one machine. The disclosed technology builds multiple formats of the data files for different display visualizations.
Abstract:
In accordance with embodiments disclosed herein, there are provided mechanisms and methods for batch processing in an on-demand service environment. For example, in one embodiment, mechanisms include receiving a processing request for a multi-tenant database, in which the processing request specifies processing logic and a processing target group within the multi-tenant database. Such an embodiment further includes dividing or chunking the processing target group into a plurality of processing target sub-groups, queuing the processing request with a batch processing queue for the multi-tenant database among a plurality of previously queued processing requests, and releasing each of the plurality of processing target sub-groups for processing in the multi-tenant database via the processing logic at one or more times specified by the batch processing queue.
Abstract:
Execution of code in a multitenant runtime environment. A request to execute code corresponding to a tenant identifier (ID) is received in a multitenant environment. The multitenant database stores data for multiple client entities each identified by a tenant ID having one of one or more users associated with the tenant ID. Users of each of multiple client entities can only access data identified by a tenant ID associated with the respective client entity. The multitenant database is a hosted database provided by an entity separate from the client entities, and provides on-demand database service to the client entities. Source code corresponding to the code to be executed is retrieved from a multitenant database. The retrieved source code is compiled. The compiled code is executed in the multitenant runtime environment. The memory used by the compiled code is freed in response to completion of the execution of the compiled code.
Abstract:
In accordance with embodiments disclosed herein, there are provided mechanisms and methods for batch processing in an on-demand service environment. For example, in one embodiment, mechanisms include receiving a processing request for a multi-tenant database, in which the processing request specifies processing logic and a processing target group within the multi-tenant database. Such an embodiment further includes dividing or chunking the processing target group into a plurality of processing target sub-groups, queuing the processing request with a batch processing queue for the multi-tenant database among a plurality of previously queued processing requests, and releasing each of the plurality of processing target sub-groups for processing in the multi-tenant database via the processing logic at one or more times specified by the batch processing queue.
Abstract:
Techniques and mechanisms for conversion of code of a first type to bytecode. Apex provides various unique characteristics. When converting to bytecode, these characteristics are handled to provide bytecode functionality. Some of the unique characteristics of Apex include Autoboxing, SOQL, Properties, Comparisons, Modifiers, Code coverage mechanisms and Sharing mechanisms.
Abstract:
The technology disclosed describes systems and methods for implementing global profiling to track resource usage and performance for multiple threads across multiple servers for a cloud-based system. This disclosed technology provides global profiling to track resource usage across any part of a transaction as it passes between layers of a computing stack regardless of the language being executed, on logically different virtual machines across multiple servers. After data collection stops, the disclosed technology combines the results into a configurable profile view that accurately represents the order of execution of applications and methods, as though they ran on one machine. The disclosed technology builds multiple formats of the data files for different display visualizations.
Abstract:
Execution of code in a multitenant runtime environment. A request to execute code corresponding to a tenant identifier (ID) is received in a multitenant environment. The multitenant database stores data for multiple client entities each identified by a tenant ID having one of one or more users associated with the tenant ID. Users of each of multiple client entities can only access data identified by a tenant ID associated with the respective client entity. The multitenant database is a hosted database provided by an entity separate from the client entities, and provides on-demand database service to the client entities. Source code corresponding to the code to be executed is retrieved from a multitenant database. The retrieved source code is compiled. The compiled code is executed in the multitenant runtime environment. The memory used by the compiled code is freed in response to completion of the execution of the compiled code.