Abstract: Methods, systems, and computer-readable media of columnar storage of a database index are disclosed. A particular columnar index includes a column store that stores rows of the columnar index in a column-wise fashion and a delta store that stores rows of the columnar index in a row-wise fashion. The column store also includes an absence flag array. The absence flag array includes entries that indicate whether certain rows have been logically deleted from the column store.

Abstract: Aspects extend to methods, systems, and computer program products for optimally pipelining result sets with fault tolerance in distributed query execution. Distributed computing jobs are optimized by dividing the distributed computing jobs into one or more bubbles for execution. Each bubble can be independently executed, potentially in parallel with other bubbles, when resources to handle the bubble are available. Intra-bubble communication can be streamed between vertices within a bubble. Inter-bubble communication can be stored to durable storage. Bubbles provide a failure boundary for a job graph and re-executing a bubble along with storage of intermediate results in durable storage can be used to recover from failures. When a vertex inside a bubble fails, computation can resume by rescheduling the execution of the failed bubble from the durable inputs for that bubble. Durable storage provides a light-weight failover to handle non-deterministic behavior.

Abstract: Aspects extend to methods, systems, and computer program products for optimally pipelining result sets with fault tolerance in distributed query execution. Distributed computing jobs are optimized by dividing the distributed computing jobs into one or more bubbles for execution. Each bubble can be independently executed, potentially in parallel with other bubbles, when resources to handle the bubble are available. Intra-bubble communication can be streamed between vertices within a bubble. Inter-bubble communication can be stored to durable storage. Bubbles provide a failure boundary for a job graph and re-executing a bubble along with storage of intermediate results in durable storage can be used to recover from failures. When a vertex inside a bubble fails, computation can resume by rescheduling the execution of the failed bubble from the durable inputs for that bubble. Durable storage provides a light-weight failover to handle non-deterministic behavior.

Abstract: Methods, systems, and computer-readable media of columnar storage of a database index are disclosed. A particular columnar index includes a column store that stores rows of the columnar index in a column-wise fashion and a delta store that stores rows of the columnar index in a row-wise fashion. The column store also includes an absence flag array. The absence flag array includes entries that indicate whether certain rows have been logically deleted from the column store.

Abstract: Methods, systems, and computer-readable media of columnar storage of a database index are disclosed. A particular columnar index includes a column store that stores rows of the columnar index in a column-wise fashion and a delta store that stores rows of the columnar index in a row-wise fashion. The column store also includes an absence flag array. The absence flag array includes entries that indicate whether certain rows have been logically deleted from the column store.

Abstract: The present invention extends to methods, systems, and computer program products for validations the configuration of distributed systems. Validation can include a collection of utilities that are systematically deployed across the nodes of an appliance. The utilities execute specified tasks, that when completed, validate the proper functioning state of hardware and/or software components of the appliance. The utilities generate logs, which can be aggregated to present a global view of the appliance.

Abstract: The present invention extends to methods, systems, and computer program products for performing parallel joins on distributed database data. Embodiments of the invention include a phased semi-join reduction strategy using replication and shuffle operations to join a first and a second data source. A filter building phase uses replication and pushes down a “Distinct” (e.g., SQL) operator to produce a list of join keys for the first data source (one side of the join). A shuffle phase for the second data source is modified to join to the key list produced in the first phase as a row filtering mechanism. A join phase then joins the first and second data sources.

Abstract: The present invention extends to methods, systems, and computer program products for performing parallel joins on distributed database data. Embodiments of the invention include a phased semi-join reduction strategy using replication and shuffle operations to join a first and a second data source. A filter building phase uses replication and pushes down a “Distinct” (e.g., SQL) operator to produce a list of join keys for the first data source (one side of the join). A shuffle phase for the second data source is modified to join to the key list produced in the first phase as a row filtering mechanism. A join phase then joins the first and second data sources.

Abstract: The present invention extends to methods, systems, and computer program products for validations the configuration of distributed systems. Validation can include a collection of utilities that are systematically deployed across the nodes of an appliance. The utilities execute specified tasks, that when completed, validate the proper functioning state of hardware and/or software components of the appliance. The utilities generate logs, which can be aggregated to present a global view of the appliance.

Abstract: Various embodiments of the present invention enable functions, procedures, and triggers to be written in any of the .NET languages and executed by the RDBMS. User code can access data from the local or other SQL servers using the SQL Programming Model and both the SqlServer or SqlClient implementations respectively. Moreover, to improve upon the previous extensibility mechanism, a set of APIs (commonly known as “the in-process provider” or “inproc provider”) is utilized to provide efficient and easy to use data access while running inproc, a data access API that is an implementation of the ADO.net programming model.

Abstract: Methods, systems, and computer-readable media of columnar storage of a database index are disclosed. A particular columnar index includes a column store that stores rows of the columnar index in a column-wise fashion and a delta store that stores rows of the columnar index in a row-wise fashion. The column store also includes an absence flag array. The absence flag array includes entries that indicate whether certain rows have been logically deleted from the column store.

Abstract: Data management between a common data store and multiple applications of multiple disparate application frameworks. A data storage component is provided that facilitates the storage of data, which data includes structured, semi-structured, and unstructured data. A common data platform interfaces to the data storage component to provide data services accessible by a plurality of disparate application frameworks, which data services allow a corresponding application of the different frameworks to access the data.

Abstract: A data access architecture is provided that includes a mapping architecture for mapping data as may be used by an application to data as persisted in a database. The mapping architecture makes use of two types of mapping views—a query view that helps in translating queries and an update view that helps in translating updates. Incremental view maintenance can be used to translate data between the application and database.

Abstract: The claimed subject matter relates to an architecture that can facilitate an incremental approach to an Object-Relational mapping solution. The architecture can provide a rich data model that is defined at the value layer. The rich data model can expose an interface that conforms with the interfaces exposed by common storage-specific data providers. The architecture can extend common storage-specific data provider to support common command representations, and provide entity services that work in terms of the rich data model as well as object services such as identity management, updating and change tracking.

Abstract: A database system and method allows a user to write program code in a high-level programming language that implements a class that defines the structure of a user-defined type and methods that can be invoked on instances of the type. The class is then registered with the database system, which enforces a specific contract for user-defined types against the class. The contract comprises the following requirements. First, the class must specify one of a plurality of different formats for persisting instances of the user-defined type in a database store. Second, the class must be capable of returning a null value for the user-defined type. Third, the class must provide a method for converting the user-defined type to another type. Once these requirements are satisfied, the database system enables instances of the user-defined type to be created. A user-defined type can be used in all contexts where any other built-in type can be used.

Abstract: Systems and methodologies of partially deserializing a Complex Type Object, via a deserializer that intercepts and materializes such object on demand. The object or a subset thereof can be deserialized to produce an Instance of Complex Type that is implemented by a property store. The deserializer can include an analyzer component that analyzes the Property Store.

Abstract: Various embodiments of the present invention are directed to a database with an extensible type system for at least one user-defined type that comprises information for describing its structure as well as information for describing an inheritance relationship between itself and another user-defined type (either a subtype or a supertype/base type). For certain embodiments, the user-defined type is defined in something other than Sequential Query Language (SQL) statement such as, for example, a Common Language Runtime (CLR) statement, a statement in C, C++, and C# (“C-sharp”), and/or a visual basic statement. In any event, several embodiments are further directed to a system wherein the database is aware of the inheritance relationship between two user-defined types by an explicit registration of the user-defined types with said database.

Abstract: A technique for representing the structure of hierarchically-organized data in a non-hierarchical data structure, such as a relation. The hierarchically-organized data is represented as a tree, and each node in the tree is assigned a position identifier that represents both the depth level of the node within the hierarchy, and its ancestor/descendant relationship to other nodes. The data represented by each node, as well as its position identifier, is stored in a row of a relational database, thereby capturing the hierarchical structure of the data in such relational database. A technique is provided for the compressed storage of position identifiers in a format that allows an efficient bytewise comparison of position identifiers to determine relative order and ancestry.

Abstract: Various embodiments of the present invention are direct to the utilization of Blob Handles (BHs) which are an internal representation of a large value. BHs are immutable and stateless references to a large data object. The structure of a BH contains enough information to return an ILockBytes interface in order to provide access to the corresponding large data block, and a BH can also return information regarding its own lifetime description. A BH can be completely described using (a) a pointer to the beginning of BH data and (b) the byte-length of the BH.

Abstract: Several embodiments of the present invention are directed to systems and methods for extending the UDT framework of an extended relational data store (ERDS) to include support for unordered collections (multisets) and ordered collection (lists). More specifically, several embodiments of the present invention use an UDT infrastructure, CLR generics, and a new UNNEST operator to create and utilize a special type abstraction for collections that is simultaneously a scalar and a relation. As a scalar, this collection type can be processed by all parts of the data store engine that understand scalars (including but not limited to the client stack) and, as a relation, this collection type is queriable like any other type of relation.