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    • 35. 发明授权
    • Generating a runtime framework
    • 生成运行时框架
    • US09069373B2
    • 2015-06-30
    • US13335939
    • 2011-12-23
    • Nadine SachsDirk BaumgaertelUlrich BestfleischGerrit Simon KazmaierKarl-Peter NosSebastian Schroetel
    • Nadine SachsDirk BaumgaertelUlrich BestfleischGerrit Simon KazmaierKarl-Peter NosSebastian Schroetel
    • G06F3/00G06F9/44G06F9/46G06F13/00G06F9/00G06F17/30
    • G06F9/00G06F17/30592
    • In an embodiment, the runtime framework is responsible for executing multidimensional analytical metadata in a runtime environment that is determined by the runtime framework. To generate such a runtime framework, the received multidimensional analytical metadata is analyzed to determine a type of an associated calculation pattern. Based upon the type, subsets of the multidimensional analytical metadata and corresponding runtime decision rules are determined. To execute the subsets, executable conditions corresponding to the multidimensional analytical metadata are identified. Based upon the executable conditions, the calculation pattern associated with the multidimensional analytical metadata is executed by executing the associated subsets, and the runtime framework is generated. The runtime framework determines calculation scenario executable subsets and calculation scenario inexecutable subsets that are associated with the multidimensional analytical metadata, and executes the subsets in their respective engines.
    • 在一个实施例中,运行时框架负责在由运行时框架确定的运行时环境中执行多维分析元数据。 为了生成这样的运行时框架,分析所接收的多维分析元数据以确定相关计算模式的类型。 基于类型,确定多维分析元数据的子集和相应的运行时决策规则。 为了执行子集,识别与多维分析元数据相对应的可执行条件。 基于可执行条件,通过执行相关联的子集来执行与多维分析元数据相关联的计算模式,并且生成运行时框架。 运行时框架确定与多维分析元数据相关联的计算方案可执行子集和计算方案不可执行的子集,并在其各自的引擎中执行子集。
    • 36. 发明授权
    • Generating a compiler infrastructure
    • 生成编译器基础架构
    • US08892545B2
    • 2014-11-18
    • US13335935
    • 2011-12-23
    • Gerrit Simon KazmaierSebastian SchroetelUlrich BestfleischNadine Sachs
    • Gerrit Simon KazmaierSebastian SchroetelUlrich BestfleischNadine Sachs
    • G06F7/00G06F17/30
    • G06F17/30592G06F17/30436G06F17/30684
    • In an embodiment, the compiler infrastructure allows execution of multidimensional analytical metadata from various databases by providing a generic transformation. A compilation request to execute a multidimensional analytical metadata is received. A type of the compilation request is determined to identify an associated transformation and corresponding transformation rules. Based upon the type of compilation request, a database of an application server is queried to retrieve the corresponding multidimensional analytical metadata. Based upon the identified transformation rules, the multidimensional analytical metadata is transformed into a generic metadata that is executable by any desired engine. An instance of a calculation scenario is generated based upon the transformation. The compiler infrastructure is generated by deploying the instance of the calculation scenario in the desired engine (e.g. in-memory computing engine.)
    • 在一个实施例中,编译器基础设施允许通过提供通用转换来从各种数据库执行多维分析元数据。 接收执行多维分析元数据的编译请求。 确定一种类型的编译请求以识别相关联的转换和相应的转换规则。 根据编译请求的类型,查询应用程序服务器的数据库以检索相应的多维分析元数据。 基于所识别的变换规则,多维分析元数据被转换成可由任何期望的引擎执行的通用元数据。 基于转换生成计算场景的实例。 编译器基础结构是通过将计算情景的实例部署在期望的引擎(例如,内存计算引擎)中来生成的。
    • 39. 发明申请
    • EXECUTING RUNTIME CALLBACK FUNCTIONS
    • 执行运行电话功能
    • US20130166496A1
    • 2013-06-27
    • US13335937
    • 2011-12-23
    • NADINE SACHSSebastian SchroetelUlrich BestfleischGerrit Simon Kazmaier
    • NADINE SACHSSebastian SchroetelUlrich BestfleischGerrit Simon Kazmaier
    • G06F17/00
    • G06F9/547G06F9/45504G06F17/30286
    • In an embodiment, a runtime callback function is a part of a code that is invoked upon execution of an associated function. To execute the runtime callback function associated with an in-memory computing engine, multidimensional analytical metadata associated with an application server is received and transformed into an in-memory executable metadata, to generate an instance of an in-memory executable calculation scenario. The instance of the in-memory executable calculation scenario is analyzed to determine process callbacks associated with nodes of the in-memory executable calculation scenario. Based upon the determined process callbacks, the runtime callback function is executed by executing a selection callback at the nodes and a transformation callback at part providers associated with the in-memory executable calculation scenario.
    • 在一个实施例中,运行时回调函数是在执行相关函数时调用的代码的一部分。 为了执行与内存计算引擎相关联的运行时回调函数,接收与应用服务器相关联的多维分析元数据并转换成内存中的可执行元数据,以生成内存中可执行计算方案的实例。 分析内存中可执行计算场景的实例以确定与内存中可执行计算方案的节点相关联的进程回调。 基于确定的进程回调,通过在节点处执行选择回调以及与内存中可执行计算方案相关联的部分提供商处的转换回调来执行运行时回调函数。