Abstract: The present disclosure describes methods, systems, and computer program products for providing additional stack trace information for time-based sampling (TBS) in asynchronous execution environments. One computer-implemented method includes determining whether time-based sampling is activated to capture a time-based sampling data during execution of a JavaScript function; in response to determining that the time-based sampling is activated to capture the time-based sampling data, determining whether a callback stack trace is active; in response to determining that the callback stack trace is active, loading the callback stack trace; retrieving a current stack trace of the JavaScript function; and saving the loaded callback stack trace and the current stack trace of the JavaScript function as the time-based sampling data.

Abstract: A system includes determination of a first value of a first row of a database table column, generation of a first truncated value based on the first value, the first truncated value including fewer bytes than the first value, generation of a first representation of the first value based on the first truncated value, the first representation including fewer bytes than the first value, storage of the first representation at a first position in a first array, and storage of the first truncated value at a second position in a second array.

Abstract: Extensibility tools are provided to customers for defining custom restriction rules for enhanced access controls. In an example method, a listing of restriction rules available for a business role are presented. The restriction rules include predefined restriction rules and at least one custom restriction rule placeholder, wherein the predefined restriction rules are delivered with the enterprise software system the at least one customer restriction rule placeholders are associated with a link to custom code developed as a customer-specific restriction rule. A selection of a particular custom restriction rule is received and associated with the particular business role. When evaluating the restriction rule, the custom code and a set of master data defined in the custom code is accessed to determine restrictions for each of the end users associated with the business role. A set of access objects are derived for each user based on the information.

Abstract: Techniques and solutions are described for providing access to data using web services, such as OData services. OData services can be dynamically added to a routing table used by a router. The router can be statically registered with an application instance, such as a server associated with the application instance. A web service can be generated from a definition of a data artefact, such as a table or view, stored in a database. A virtual data artefact corresponding to the data artefact can be generated, and used to generate the web service. A message service can cause web services to be generated when a data artefact is added or changed.

Abstract: Methods and apparatus are disclosed for representing a dynamic hierarchical system as a composite graph data structure. Members of a system are represented as primary nodes of a tree. Multiple system states have respective trees, which can be overlaid to obtain a composite graph. The composite graph can be augmented with secondary nodes for member attributes, and further nodes for state-dependent values of the attributes. Methods of processing bottom-up, top-down, and filtered queries are disclosed. Applications to military, manufacturing, and communication networks are provided.

Abstract: Example methods and systems are directed to a multitenant application server using a union file system. Each tenant has one or more users and a tenant layer in the union file system. Each user has a user layer in the union file system. The union file system provides a logical file system to each user based on the user layer, the tenant layer, and a base layer comprising a set of application layers. A first user shares an application template file with other users of the same tenant by moving the file from the first user's user layer to the tenant layer. After the file is moved, all users of the tenant have access to the application defined by the application template file. The moving of the file is achieved by modifying metadata for the file.

Abstract: Implementations of the present disclosure include associating a first transaction executed within a database system with a first transaction control block (TCB) index, setting a status of the first transaction to active and a lock status of the first transaction to holding in response to a first set of locks being established for the first transaction, the first set of locks including one or more locks that each inhibit access to a respective resource within the database system, providing a lock table that records, for a set of locks within the database system, a set of lock owners including one or more transactions identified based on respective TCB indexes and a wait queue, and determining that the first transaction has completed, and in response setting the status of the first transaction to indicate completion of the transaction and the lock status of the first transaction to released.

Abstract: A system and method to query, update, and reduce a size of locking data for a dataset including a fixed plurality of dimensions each having a fixed plurality of members comprising index tables for the dimensions and a locks table specifying one of a fixed plurality of lock states for the plurality of members, where the fixed plurality of members each have an associated index.

Abstract: Provided are systems and methods for resolving conflicts between different versions of a database file. In one example, the method may include one or more of receiving, at a database, a request to publish a modified version of a database file modified by a user having privileges to update the database file, detecting, during a merge operation, a conflict between one or more data values included in the unpublished modified version of the database file and one or more corresponding data values in an intervening version of the database file published by another user that also has privileges to update the database file, and outputting a user interface displaying an identification of the one or more conflicting data values and one or more selections for resolving the one or more conflicting data values.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving receipt data associated with an entity. Policy questions associated with the entity are associated with at least one policy question answer that corresponds to a conformance or a violation of a policy selected by the entity. For each policy question, a machine learning policy model is identified for the policy question that includes, for each policy question answer, receipt data features that correspond to the policy question answer. The machine learning policy model is used to automatically determine a selected policy question answer to the policy question by comparing features of extracted tokens to respective receipt data features of the policy question answers that are included in the machine learning policy model. In response to determining that the selected policy question answer corresponds to a policy violation, an audit alert is generated.

Abstract: Disclosed herein are system, method, and computer program product embodiments for training a machine learning model and using the machine learning model to determine an intent associated with an utterance. An embodiment operates by receiving an utterance, determining a first vector based on the received utterance, and determining a second vector based on the received utterance. A third vector is generated by concatenating the first vector and the second vector. The third vector is used to perform at least one of classifying, using a machine learning model, the utterance to determine the intent associated with the utterance or training the machine-learning model.

Abstract: A framework for object registration, and in particular for registering and executing calculation models and business rules, is described herein. In one embodiment, metadata definitions and input/output Application Program Interfaces (APIs) define uniform conventions that, when followed by a customized calculation model or business rule, allow transparent execution of pre-defined as well as customized calculation models and business rules. In one embodiment, a customized calculation model is registered with a stored procedure and a metadata table. In another embodiment, business rules are registered with a stored procedure and type information. By following the uniform conventions, initial processing is enabled with pre-defined calculation models or business rules, while subsequent processing is seamlessly enabled with customized calculation models or business rules.

Abstract: A wide variety of software support functionality can be improved via error incident fingerprinting with unique static identifiers. Such unique identifiers can originate within an integrated development environment and be propagated to runtime, where they can be harvested from execution context at the time of an error. The fingerprint created from such a unique identifier can then be used for a variety of purposes, including indexing knowledge base records, criticality detection, service innovation, alerting, incident resolution, impacts to the development process, and machine learning.

Abstract: A distributed machine learning framework implemented with heterogeneous data platforms reduces data copying and exploits memory/computation resources of the different data platforms. A configuration component includes information to set up the system. A persistency component manages storage of data and a model trained by machine learning. A proxy repository includes predefined proxies for communication between heterogeneous data platform nodes and execution of the machine learning procedure. A machine learning execution component comprises three layers. A bottom work node layer within the data platform performs computations of the machine learning procedure. A middle server node layer comprising one server node per data platform, communicates with the work nodes to coordinate jobs on that data platform. An upper layer comprises a central server node communicating with server nodes and coordinating jobs of the different platforms.

Abstract: In some embodiments, a logging framework reserves space in an in-memory storage for a log entry upon receiving a first function call from an application being executed. Upon receiving a second function call from the application being executed, the framework writes the log entry in the space in the in-memory storage. Upon receiving a third function call from the application being executed, the framework selects a configuration for the application and comparing an indicator that is generated based on the executing of the application to the configuration. When the indicator meets a condition of the configuration, the framework copies the log entry from the space in the in-memory storage to a persistent storage space. The log entry is deleted from the space in the in-memory storage at a time after performing the comparing.

Abstract: Dynamic data anonymization utilizes the introduction, tracking, and checking of taint information. During taint introduction, taint information relevant to a source of input data is bound with that data, and the taint information stored as metadata. During taint tracking, the taint information is maintained with the original data over its lifespan, and is also propagated with any derivative data generated from the original data. An anonymization procedure considers the taint information as semantic content to covert the data into anonymous form. Taint checking during anonymization determines whether a data object or a variable is tainted, and identifies the relevant taint information to allow the output of data in anonymous form. Introduction, tracking, and checking of semantic taint information permits embodiments to dynamically calculate anonymization metrics (e.g., k-anonymization, l-diversity) on the basis of the semantics of taint metadata that is actually present.

Abstract: Described herein includes a calculation scenario of a calculation engine that efficiently partitions data for processing at separate hosts, including in parallel, and unions intermediate results from such separate processing when required for further processing. Such parallel processing of partitions can allow for faster processing times, and such unioning of data only when required for further processing can limit the transferring of data that results in slower processing.

Abstract: Provided is a keyboard navigation menu which provides navigation within a software application using keyboard commands instead of mouse/cursor based inputs. The keyboard activation menu can improve upon traditional mouse-based menus which often include hidden tabs or require multiple mouse inputs. In one example, the method may include displaying, via a user interface, a keyboard navigation menu comprising a plurality of different keyboard inputs that when pressed navigate a view of the user interface to a plurality of pages of a software application, respectively, detecting a keyboard input from among the plurality of different keyboard inputs which corresponds to a second page from among the plurality of pages of the software application, and changing a view of the user interface from the first page to the second page of the software application that corresponds to the detected keyboard input.

Abstract: A computer-implemented method for deploying a new artifact file in a database. The new artifact file provides specifications for one or more new run-time database objects to be created in the database by processing of the new artifact file by artifact-type specific conversion engines. The method includes assigning ownership of the one or more new run-time database objects to be created in the database to the new artifact file, and, when an existing database object in the database provided by another artifact file corresponds to a new run-time database object specified in the new artifact file, assigning ownership of the existing database object in the database to the new artifact file being deployed.

Abstract: Methods, systems, and computer-readable storage media for receiving, in response to instantiation of an application that enables access to data within the database layer through a data model provided as a computer-readable file, the data model defining a set of associations between two or more tables stored in the database layer, processing the data model to provide a set of inverted associations, each inverted association being specific to a respective association in the set of associations, generating an enriched data model including the set of associations of the data model and the set of inverted associations, and hosting a service that uses the enriched data model to enable access to the data within the database layer based on one or more queries submitted from a web client.