Abstract: Methods, systems, and computer-readable storage media for ranking anomaly detection algorithms, including operations of receiving a set of unlabeled data from one or more sensors in a plurality of sensors of an internet of things, generating a plurality of data distributions corresponding to the set of unlabeled data by using a plurality of anomaly detection algorithms, and ranking the plurality of anomaly detection algorithms relative to the set of unlabeled data based on a distance between a first quantile and a second quantile of each of the plurality of data distributions.

Abstract: A command is received in a cloud-computing environment from an integrated development environment (IDE), where the command is to update runtime software application content in an application container associated with the runtime software application content, and where the command contains new software application content. Without terminating the application container, a connection is opened to the application container using the application container name as an identifier, and at least some of the runtime software application content in the application container is modified using the new software application content.

Abstract: In one embodiment, the present disclosure pertains to software testing. In one embodiment, a plurality of builds are generated from a plurality of branches of software code, where the plurality of builds are executable versions of the plurality of branches. Software tests are applied to the plurality of builds based on associated test filters to produce test results. Different builds may have different associated test filters to control which of the plurality of software tests are applied to an associated build. In one embodiment, software tests that did not pass for a particular build are recorded in the associated test filter for the particular build based on an association between the software test that did not pass and a particular runtime feature under test.

Abstract: Various embodiments of systems and methods for providing extended file storage for cloud applications are described herein. The method involves receiving a deployment request from a cloud application for file storage service, at the time of deployment. The deployment request includes information identifying a local folder and a mode of storage. The metadata relating to the information in the deployment request is stored in a persistent storage. Further, in response to receiving a start request to run the cloud application an application virtual machine is allocated and a block level storage volume is identified and attached to the application virtual machine. Further, the identified block level storage volume is mapped to the local folder identified in the stored metadata and the application virtual machine running the cloud application is started. The block level storage volume mapped to the local folder is accessed by application processes for performing read/write operations.

Abstract: Systems and methods for defining application preferences for one or more attributes associated with data communicated between one or more applications and one or more data sources. A first set of attributes may be associated with data communicated with a first application. At least the first application, in an application framework implemented over an abstract service layer and a real service layer, may be deployed. The abstract service layer may comprise a first set of services including at least one of a data ingestion service, a time series storage service and event handling service. The real service layer may comprise a second set of services including at least one of a local file system, a cloud-based file system, and a streaming data resource for communicating data with at least the first application via a streaming mechanism over one or more data channels.

Abstract: The present disclosure describes methods, systems, and computer program products for performing fuzzy substring search. One computer-implemented method includes determining, by operation of a hardware processor, one or more tokens of an input string received from a client application, identifying, from a database, a reference string based on the one or more tokens of the input string, determining a plurality of character index values of the reference string, each character index value indicating a position of a character in the reference string, determining one or more hop index values of the input string, each hop index value indicating a position of a separator in the input string, and calculating a similarity score of the reference string relative to the input string based on the plurality of character index values of the reference string and the one or more hop index values of the input string.

Abstract: A method and system are provided including at least one tabular data set, wherein each data set includes one or more attribute categories defining a record, each attribute category including one or more data values; an anonymization module; and an anonymization processor in communication with the anonymization module and operative to execute processor-executable process steps to cause the system to: receive a first data set at the anonymization module; determine at least one of the attribute categories in the first data set is a first-class identifier; generate a pseudonymous data set by removing the at least one first-class identifier attribute category from the first data set; determine at least two of the attribute categories in the pseudonymous data set are a second-class identifier; manipulate the at least two second-class attribute categories; and generate an anonymized data set based on the at least two manipulated second-class identifier attribute categories. Numerous other aspects are provided.

Abstract: Disclosed herein are system, method, and computer program product embodiments for altering the data type of a column in a database. An embodiment operates by converting an original dictionary associated with a column into a new dictionary. The new dictionary stores the values of the original dictionary using a different data type. An index vector containing the keys of the original dictionary is then updated to contain the associated keys of the new dictionary. Because the size of the original dictionary is often substantially smaller than the number of rows in the associated column, this dictionary conversion decreases the computation cost to the database system of altering the data type of the column and reduces or even minimizes database downtime for users.

Abstract: A database system for representing data in an external dataset may include a multidimensional database defined by a set of dimensions associated with a respective set of attributes of the data in the external dataset. The multidimensional database may include a set of cells partitioned or otherwise divided into a set of slots. Each slot may be associated with a set of attribute values of the attribute associated with its corresponding dimension. Each cell may store data from the external dataset accessed by aggregating sets of attribute values associated with respective slots of the dimensions of the multidimensional database that define the cell.

Abstract: In one aspect, there is provided a method. The method may include loading, into a first address space of a primary server of a database, a metadata library of an application function library. The application function library may include an application function for performing operations on data held at the database. The metadata library may include a description of the application function. The primary server may determine, based on the metadata library, that executing a database query requires running the application function. The database query may be routed, based on the determination, to a secondary server of the database. The database query may be routed to trigger a loading the application function library into a second address space of the secondary server. Related methods and articles of manufacture are also provided.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a set of values for a set of attributes associated with a plurality of data objects managed by a first system. The program further generates a replication filter for filtering the plurality of data objects based on the set of values for the set of attributes associated with the plurality of data objects. The program also replicates a subset of the plurality of data objects from the first system to the second system based on the replication filter. The program further receives a set of data from the second system, the set of data generated by the second system based on the subset of the plurality of data objects.

Abstract: Techniques are described for providing security-aware partitioning of processes. An example method includes identifying an integration scenario for optimization in a cloud-based system based on optimization constraints. The identified integration scenario is translated into a directed graph comprising connections between particular flows within the integration scenario. Each flow in the identified scenario is automatically analyzed to determine whether the flow is shareable across processing units associated with a different tenant, and each flow can be annotated in the direct graph with results of the analysis. At least one optimization to the integration scenario is determined based on the annotated directed graph and a set of optimization constraints. An assignment of flows to particular processing units is generated based on the determined at least one optimization.

Abstract: In an example, a registration request is received from an application provider, the registration request including one or more application programming interfaces (APIs) providing software code for interfacing with a cloud-based application provided by the application provider. The APIs are scanned to identify potential events triggered during execution of the cloud-based application. A graphical user interface (GUI) is caused to be rendered for a customer who has subscribed to the cloud-based application, the GUI providing a first area in which one or more of the potential events are rendered along with a selectable GUI element for each of the rendered one or more potential events and a second area in which the customer may type or upload one or more functions to be executed by the cloud-based application upon triggering of one or more corresponding potential events that have been selected by the customer via their corresponding selectable GUI elements.

Abstract: Methods and apparatus are disclosed for integrating a workflow with logical data objects (LDOs), which expose their own external access methods and hide underlying data items. An interactive workflow specification can be authored by visual programming, and the workflow can be performed at a workstation via a graphical user interface. The visually-programmed specification can be automatically converted to markup language statements invoking ABAP calls to the LDOs' access methods. Underlying organization of LDO data can be transparent to reads and writes of the LDO data during workflow performance. Other aspects are described, including configuration of the authoring interface, launching the workflow, and text analytics.

Abstract: Technologies are described for facilitating transaction processing within a database environment. A commit protocol provides for the atomic commit or rollback of a transaction that includes an operation that modifies a metadata entity of the database system and one or more other operations that modify metadata entities or data records of the database system. Innovations are provided for detecting and resolving deadlocks that may arise during transaction processing. Innovations are also provided for providing versioning of metadata entities, including invalidating metadata entities cached at a slave node during the commit at a master node of a transaction that creates a new version of the metadata entity.

Abstract: Each of a plurality of database objects can be assigned to a specific message-passing worker of a plurality of message-passing workers, each executing on a first logical core that shares with at least a second logical core one or more resources of a physical processor core of a plurality of physical processor cores. The second logical core can execute a job worker of a plurality of job workers that implement procedural code. Exclusive write access can be provided to a database object of the plurality of database objects via a message-passing worker of the plurality of message-passing workers while read-only access is provided to any database object of the plurality of database objects via any of the plurality of job workers. Operations can be executed by the message-passing worker in an order in which request messages are received in a message queue of the message-passing worker.

Abstract: The present disclosure involves systems, software, and computer implemented methods for principal propagation. One example method includes deploying a token service to a first cloud platform. A first token request is received from an integration component for a token to be included in a message sent from the first cloud platform to a second cloud platform. A user information request is generated and sent to an identity provider associated with the first cloud platform. User information is received from the identity provider in response to the user information request. A second token request is generated and sent to a token service provider associated with the second cloud platform. The second token request includes the received user information. The requested token is received from the token service provider. The received token is sent to the integration component to enable the integration component to send the message to the second cloud platform.

Abstract: Methods and system are disclosed that execute processing a payment event. In one aspect, via a framework, a request for initiating a payment event from a smart device via a smart terminal is received. Upon processing the initiated request, the received request may be authenticated based on a configuration information associated with the payment event. When the authentication is successful, a session to process the request including the payment event may be established. Based on the established session, whether to execute processing the payment event based on a combination of transaction context associated with the payment event and a device identifier associated with the smart device. Based on the determination, processing the payment event may be executed.

Abstract: A system, computer-implemented method, and computer-program product embodiments for rebuilding database indexes is disclosed. A pre-loader thread rebuilds a plurality of indexes in the background once a database is initialized. Simultaneously, a query processor receives queries from a user/client of a database. If an index that is required by the query processor has not yet been rebuilt by the pre-loader, a request to rebuild the index is sent to an asynchronous index loader. The asynchronous index loader places the request in a queue, processes the queue based on available system resources, and then rebuilds the requested indexes. Once the necessary indexes have been rebuilt, a wake-up signal is sent to the query processor which then proceeds to execute the query from a user/client.

Abstract: The present disclosure involves systems, software, and computer implemented methods for key pattern management. One example method includes receiving a query for a logical database table from an application. A determination is made as to whether the query is a write query. In response to determining that the query is a write query, a determination is made as to whether the query complies with a key pattern configuration that describes keys of records included in a physical database table that is part of a logical table implementation. The physical table includes records of the logical database table that are allowed to be written by the application. The write query is redirected to the physical database table in response to determining that the query complies with the key pattern definition. The query is rejected in response to determining that the query does not comply with the key pattern configuration.