Abstract: A data processing system implements techniques for provisioning and operating databases including receiving a request to provision a new database that includes multiple replicas. The data processing system provisions the new database including the plurality of replicas. The plurality of replicas includes a primary replica, one or more secondary replicas, and one or more delta replicas. The primary replica is configured to handle read and write operations. The one or more secondary replicas include a copy of data and transactional log information of the primary replica and are unable to handle write operations. The one or more delta replicas are a copy of the transactional log information of the primary replica and are unable to handle read operations or write operations.

Abstract: A data processing system implements techniques for provisioning and operating databases including receiving a request to provision a new database that includes multiple replicas. The data processing system provisions the new database including the plurality of replicas. The plurality of replicas includes a primary replica, one or more secondary replicas, and one or more delta replicas. The primary replica is configured to handle read and write operations. The one or more secondary replicas include a copy of data and transactional log information of the primary replica and are unable to handle write operations. The one or more delta replicas are a copy of the transactional log information of the primary replica and are unable to handle read operations or write operations.

Abstract: A distributed application may be updated by using information provided by the application to determine grouping, sequencing, and whether or not to advance an update sequence. The application may provide input to an update sequence, and may cause the update sequence to repair one or more replicas prior to updating. The update mechanism may be used to change the distributed application topology as well as make changes to the application executable code, application configuration, quest operating system, virtual machine, and host systems, among others. In some cases, the distributed application may use a quorum to determine which version is current, and the quorum may change during the update process.

Abstract: A distributed computing system. The system separates management and worker functionality into different clusters thus relieving the worker clusters of management overhead. In particular, the system includes a management cluster. The management cluster is configured to perform service deployment of worker nodes, service maintenance of worker nodes, service upgrade and roll-back of worker nodes, service monitoring of worker nodes, and service reporting of worker nodes. The system further includes one or more worker clusters coupled the management cluster, but separate from the management cluster. Each of the worker clusters includes one or more worker nodes that are configured to provide one or more of processing power, storage, and network connectivity but do not exercise one or more of the management configured functions.

Abstract: Methods, systems, and computer-readable media for facilitating coordination between a fabric controller of a cloud-computing network and a service application running in the cloud-computing network are provided. Initially, an update domain (UD) that includes role instance(s) of the service application is selected, where the service application represents a stateful application is targeted for receiving a tenant job executed thereon. The process of coordination involves preparing the UD for execution of the tenant job, disabling the role instance(s) of the UD to an offline condition, allowing the tenant job to execute, and restoring the role instance(s) to an online condition upon completing execution of the tenant job.

Abstract: A distributed computing system. The system separates management and worker functionality into different clusters thus relieving the worker clusters of management overhead. In particular, the system includes a management cluster. The management cluster is configured to perform service deployment of worker nodes, service maintenance of worker nodes, service upgrade and roll-back of worker nodes, service monitoring of worker nodes, and service reporting of worker nodes. The system further includes one or more worker clusters coupled the management cluster, but separate from the management cluster. Each of the worker clusters includes one or more worker nodes that are configured to provide one or more of processing power, storage, and network connectivity but do not exercise one or more of the management configured functions.

Abstract: Methods, systems, and computer-readable media for facilitating coordination between a fabric controller of a cloud-computing network and a service application running in the cloud-computing network are provided. Initially, an update domain (UD) that includes role instance(s) of the service application is selected, where the service application represents a stateful application is targeted for receiving a tenant job executed thereon. The process of coordination involves preparing the UD for execution of the tenant job, disabling the role instance(s) of the UD to an offline condition, allowing the tenant job to execute, and restoring the role instance(s) to an online condition upon completing execution of the tenant job.

Abstract: A distributed application may be updated by using information provided by the application to determine grouping, sequencing, and whether or not to advance an update sequence. The application may provide input to an update sequence, and may cause the update sequence to repair one or more replicas prior to updating. The update mechanism may be used to change the distributed application topology as well as make changes to the application executable code, application configuration, quest operating system, virtual machine, and host systems, among others. In some cases, the distributed application may use a quorum to determine which version is current, and the quorum may change during the update process.

Abstract: The subject disclosure pertains to computer programming languages and translation or conversion thereof. Rather than a complicated semantics preserving translation or conversion from a first source language to a second target language, the conversion can be one of syntax. The conversion can be accomplished, for example, via employment of a map that defines the relation between the syntax of the first language and the second language. The semantics of at least a part of the first language can be defined by the second target language. Thus, the first language can be open-ended and/or semantically extensible based on the second language.

Abstract: A system and/or methodology that employs a non-relational (e.g., XML (extensible markup language)) query language to access stored procedures employed in connection with relational (e.g., SQL (structured query language)) database management systems is provided. Stored procedures in SQL enable the predetermination of queries that can be executed against the relational database. The invention bridges the gap between non-relational query languages and relational data stores. In other words, the invention enables the integration of non-relational query languages with relational data stores. The invention can define a view of the relational data in the current data model, convert data from relational to non-relational format and provide a mechanism in which a stored procedure can be referenced from the non-relational query language, using, for example, a function.

Abstract: A data mapping architecture for mapping between two or more data sources without modifying the metadata or structure of the data sources themselves. Data mapping also supports updates. The architecture also supports at least the case where data sources that are being mapped, are given, their schemas predefined, and cannot be changed. The architecture includes a mapping component that receives respective metadata from at least two arbitrary data models, and maps expressions between the data models.