Abstract: At least one read operation of at least one object of a data container is initiated. The data container includes an anchor object, a first internal data object and a first garbage collection object, the anchor object comprising a pointer to a versioned structure tree. Thereafter, in response to the at least one incompatible write operation, a second internal data object and a second garbage collection object are created for the data container. The second garbage collection object has a reference to the second internal data object. Subsequently, the second internal data object is installed in the anchor object and the first garbage collection object is passed to a garbage collection process so that space used by the first garbage collection object in a database can be reused. Related apparatus, systems, techniques and articles are also described.

Abstract: Various embodiments herein include at least one of systems, methods, and software for building and transporting centrally configured and modified software systems. Such embodiments provide for a virtual appliance to be configured and customized prior to transport of the virtual appliance to the target organization. Once configured and customized, the software system of the virtual appliance is reassembled into a virtual appliance, transported, and rapidly deployed in a form as needed by the organization. This results in significant cost, time, and risk exposure mitigation.

Abstract: Embodiments extend the relational model and query language to recognize features of tables and higher level entity-relationship models (ERMs). Extension language is implemented in the data design language (DDL) to incorporate tables, entities (and views) having custom-defined/semantic structure, rather than being limited to primitive types (e.g. flat tables as in standard SQL). The extension language includes an indication that a query is to include all active elements for each table extension or entity extension that is active. The extension language can be chained to extend a table or entity that has been extended.

Abstract: A method, medium, and system to receive a request to perform a log recovery to restore multiple database services; determine log backup entries corresponding to a target log position for a first database service of the multiple database services; read from a sequential stream device, by the first database service, the log backup entries corresponding to the target log position for the first database service; inform a second database service of the multiple database services that the first database service has concluded executing the log backup entries corresponding to the target log position for the first database service from the sequential stream device; assuring that no resources of the streaming device are blocked by the first database service; and read log backup entries of the second database service corresponding to a target log position for the second database service from the sequential stream device.

Abstract: In some example implementations, a method may include receiving, at a broker, authorization to access at least one cloud service provider; receiving, at the broker, a message representative of at least one of a submission of data to or a request for data from the at least one cloud service provider; determining, by the broker based on a classification of the data, whether to authorize the at least one of the submission of data to or the request for data from the at least one cloud service provider; and forwarding, by the broker based on the determining, the at least one of the submission of data to or the request for data from the at least one cloud service provider, wherein the receiving authorization, the receiving the message, the determining, and the forwarding are implemented by at least one processor. Related systems, methods, and articles of manufacture are also provided.

Abstract: Customer initiated tenant operations are presented that are provided within a work center of a client cloud application. System supported tenant operations combined with automatic validations and determinations are exposed directly to the customer via the work center. Customers are able to coordinate and initiate tenant operations using a specific work center called a service control center, which is added to other work centers that build the cloud enterprise applications or products the customers are using. The enterprise application embedded service control center is connected to a central service control center, which is located in a service provider cockpit system. The central service control center enables the execution of customer specific tenant operations that are tailored to the customer's landscape and guarantees the tenant isolation.

Abstract: Embodiments leverage capabilities of an in-memory database to manage measurement and modeling of Operational Leading Indicators (OLIs). An OLI template may comprise four model components: ratio calculation; factor calculation; predictive modeling; and cost estimation. Each model component is motivated and explained in terms of information sources, and analytical or statistical modelling tasks used in its definition. Embodiments combine analytical and statistical modelling utilizing in-memory computing, to process large amounts of unmodified source data, calculate cost measures rapidly without preaggregation, and/or run linear regression models on the same data set and in the same memory space without a need for separate hardware. An engine in communication with the in-memory database that comprises a large volume of available data, is configured to receive values for OLI factors as inputs.

Abstract: Embodiments relate to converting data object(s) from a single-source database environment into a multi-source database environment. An engine is configured to receive a single-source database universe from a repository. The engine analyzes that universe to identify details thereof for conversion, including but not limited to connections, tables, views, alias tables, etc. A new multi-source connection is registered, and then the multi-source universe is re-generated through a universe conversion algorithm, an automatic function mapping algorithm, and a query generation algorithm. Embodiments avoid labor intensive manual re-creation of the universe, and may be implemented as an automatic conversion wizard also updating dependent report queries per new multi-source query patterns. Particular embodiments converting a single-source database environment available from SAP AG, may utilize a Software Design Kit (SDK) to create a migration plug-in as part of an Information Design Tool (IDT).

Abstract: A query is received by a database server from a remote application server. The query is associated with a calculation scenario that defines a data flow model that includes one or more nodes that each define one or more operations for execution by a calculation engine on the database server. Thereafter, the database server instantiates a runtime model of the calculation scenario based on the nodes of the instantiated calculation scenario. Subsequently, one or more of the nodes are identified as being convertible into a relational database format. These nodes are then used to form a container node. An execution plan of the runtime model of the calculation scenario including the container node is built that is executed by the database server to result in a data set which is provided by the database server to the application server.

Abstract: A system and method of inserting instrumentation analytics into a business application program that is written in a web browser language is disclosed. The method includes receiving at an instrumentation server the business application program, parsing the business application program to generate an abstract syntax tree, examining the abstract syntax tree to identify function calls within the business application program, and inserting an instrumentation framework into the business application program to create a modified business application program, the instrumentation framework monitoring function calls during operation of the modified business application program. A system to implement the method and a computer-readable medium are disclosed.

Abstract: A method for reducing a compile time of a source program includes receiving, by a compiler hosted on a computer, the source program. The compiler may have a compile time that depends non-linearly on a size of a function in the source program. The method involves identifying a source function in the source program and splitting the source function in to two or more target functions having sizes smaller than a size of the source function. The method further includes compiling the source program with the two or more target functions having sizes smaller than a size of the source function replacing the source function in the source program.

Abstract: The described technologies can be used for consent handling during data harvesting. In one example, a method can include receiving social media data associated with a user identifier and a first country code. A stored consent configuration rule can specify whether to store the social media data anonymously or non-anonymously. The consent configuration rule can be associated with a second country code. It can be determined whether the second country code associated with the consent configuration rule matches the first country code associated with the social media data. When the second country code associated with the consent configuration rule does not match the first country code associated with the social media data, the social media data can be stored in a quarantine.

Abstract: The present disclosure describes methods, systems, and computer program products for serializing data for data transfer. One computer-implemented method includes analyzing a column of data stored in the first database to determine at least one serialization parameter, the at least one serialization parameter comprises a repetition counter, a replication counter, or a variable type; determining a data serialization scheme associated with the data based on at least one of the repetition count or the replication counter; determining a variable serialization scheme associated with the data based on the variable type; repeating the analyzing, the determining of the data serialization scheme, and the determining of the variable serialization scheme; serializing the data stored in the first database using the data serialization scheme associated with the data and the variable serialization scheme associated with the data; and transferring the serialized data to the second database.

Abstract: In one embodiment, feedback data of a software object is received through a sequence of cascaded GUIs. The cascaded GUIs include an interaction portion to receive the feedback data from users at a plurality of feedback levels. Further, user role weightings of the users, account weightings of enterprises associated with the users and a time weighting corresponding to a life-cycle phase of the software object are retrieved. Furthermore, average rating of the software object corresponding to each feedback level is determined as a function of the user role weightings, the account weightings, the time weighting, the feedback data corresponding to a feedback level and a number of users submitted the feedback data. The determined average ratings and rating distribution corresponding to each feedback level are graphically displayed on the interaction portion associated with a next feedback level.

Abstract: Instances of a call stack executing in a database management system and separated by a sampling interval can be compared and upwardly traversed until reaching a point of difference between the instances. A call counter can be incremented for each new frame identified in the second instance of the call stack since the point of difference such that relative call count frequencies of multiple frames (which can include function calls) can be determined. Systems, methods, and computer program products are described.

Abstract: A query of spatial data is received by a database comprising a columnar data store storing data in a column-oriented structure. Thereafter, a minimal bounding rectangle associated with the query is identified using a tree-order scanning technique. A spatial data set that corresponds to the received query is then mapped to the physical storage in the database using the identified minimal bounding rectangle. Next, the spatial data set is then retrieved. Related apparatus, systems, techniques and articles are also described.

Abstract: A database server receives a query associated with a calculation scenario that defines a data flow model that includes one or more calculation nodes. Each calculation node defines one or more operations to execute on the database server, the database server comprising a column-oriented database. Thereafter, the database server instantiates the calculation scenario and executes the operations defined by the calculation nodes of the instantiated calculation scenario to result in a responsive data set having a result table with a row for each column in the column-oriented database implicated by the query having a constant value. The database server then provides the data set to the application server. Related apparatus, systems, methods, and articles are also described.

Abstract: The present disclosure describes methods, systems, and computer program products for generating data for performance evaluation. One computer-implemented method includes identifying a source dataset from a source database, extracting a schema defining the source database, analyzing data within the source dataset to generate a value model, the value model describing features of data in each column of each table of the source dataset, analyzing data within the source database to determine data dependency, and generating a data specification file combining the extracted schema, the value model, and the data dependencies.

Abstract: Various embodiments herein include one or more of systems, methods, software, and data structures that are utilized in mobile app generation and execution. Such embodiments provide access to functionality and data of non-mobile device applications within mobile device apps without having to expend resources to replicate non-mobile device applications in a mobile context.