Abstract: Provided are devices and methods for extending database views of a predefined data model to include custom industry fields, behind a switch. In one example, the method includes receiving a database table including common fields that are common to a plurality of industries and custom fields that are customized for at least one industry, generating a database view of the database table, the database view including the common fields transformed into a format represented by a predefined data model, executing an extension program that generates a data object in which the custom fields are transformed into the format represented by the predefined data model, and combining the data object including the custom fields having the transformed format with the database view including the common fields having the transformed format to generate an extended database view.

Abstract: WebRTC is vulnerable to malicious JavaScript, injected by cross-site scripting attacks or compromised or malicious script providers. Through these attacks, attackers can access a WebRTC connection and leak or monitor the audio and video data transmitted. By preventing modification of key WebRTC functions and preventing outgoing streams from being used more than once, these attacks can be thwarted.

Abstract: A computing device hosts a graphical user interface (GUI) of a computer application, the computer application being run on a backend computing platform accessible to the computing device via a network. The GUI includes multiple models in a Model-View-Controller (MVC) pattern, an eventing mechanism, and a model synchronizer. Each model in the GUI represents one or more application objects of the computer application. The eventing mechanism generates an application object change event when an application object of one of the multiple models in the GUI is changed to a new state. The model synchronizer listens to the generated application object change event, retrieves the new state of the application object, and locally updates other models of the multiple models in the GUI that also represent the application object with the new state of the application object.

Abstract: A query is received in a session established between an application and an in-memory database. The query is received from the application. Based on one or more criteria defined for individual data aging parameters in the data aging infrastructure, an aging temperature to be applied to the query is determined. The determined aging temperature is received at the application. The aging temperature is automatically set in the session before executing the query in the in-memory database. Based on the determined aging temperature, a partition is loaded from a secondary memory to a main memory. With the aging temperature as reference, the query is executed to fetch a result from the in-memory database.

Abstract: Methods and systems of the present disclosure provide techniques for analyzing behavior of and triggering action for a definable group. In an embodiment, a method may identify a group based on a Sankey diagram. For example, a group may include those users belonging to a journey or path of the Sankey diagram. The method may analyze behavior of the group, e.g., whether a group characteristic meets a pre-definable condition. The method may perform an action for the group. In an embodiment, the method may automatically identify group members and/or automatically perform at least one action for the group members based on satisfaction of the pre-definable condition.

Abstract: Methods and system are disclosed that determine anomalies in the source code in a procedural program paradigm. In one aspect, an input to analyze source code may be received via an integrated development environment. Upon receiving the input, a source code analyzer model may be instantiated at a framework. Based on decision logic associated with the procedural programming paradigm, the source code may be analyzed by the instantiated source code analyzer model at the framework. In response to the analysis, anomalies associated with the source code may be determined at the framework. Upon determining the anomalies, a user interface model may be instantiated at the framework. The instantiated user interface model may provide a user interface that may display a list of solutions in response to the determined anomalies in the source code. An end user may select the solution that may be inserted into the source code.

Abstract: Techniques and solutions are described for detecting malicious database activity, such as SQL injection attempts. A first machine learning classifier can be trained by comparing processed and unprocessed user input, where a difference between the two can indicate suspicious or malicious activity. The trained classifier can be used to analyze user input before query execution. A second machine learning classifier is trained with a data set that includes call stack information for an application requesting execution of a dynamic query and query statistics associated with processing of the query at the database. The query of the application can be correlated with a corresponding database query by hashing the application query and the database query and comparing the hash values, where matching hash value indicate a common query. The trained classifier can monitor execution of future queries to identify queries having anomalous patterns, which may indicate malicious or suspicious activity.

Abstract: Techniques and solutions are described for improving automated user interface generation. Devices can automatically be recognized in one or more images of a system or environment. At least certain devices can be identified as standard devices, and associated with device profiles. The device profiles can include information useable to identify user interface controls that should be rendered on a user interface for the system or environment. The user interface controls can be rendered over an image or schematic diagram of the system or environment, including at locations that correspond to a geospatial location of the corresponding device, or a controllable element thereof. The user interface controls can be associated with commands of a standardized command schema, which in turn are mapped to specific commands that can be sent to control the devices or controllable elements thereof.

Abstract: A system, medium, and method to define a database table and view based on a database model using a database language statement, the database language statement including a statement to create the table and a forward-declared JOIN statement that names the table and view, respectively and includes information regarding a relationship between at least two entities of the database.

Abstract: Implementations are directed to identifying potential churn of a user of one or more computer-implemented systems provided by an enterprise. In some examples, actions include identifying potential churn of providing a plurality of event profiles based on historical data, each event profile being representative of interactions of users with the enterprise and corresponding to churn of the users, at least one event profile being representative of an interaction of users with the one or more computer-implemented services, providing a pulse of the user at least partially based on historical data associated with the user, and one or more event profiles of the plurality of event profiles, and determining that the user is at-risk of churn based on the pulse of the user and a risk index value, and in response, displaying an indication that the user is at-risk of churn in a graphical user interface.

Abstract: Methods and systems are described for providing an editor for modifying predefined data match policies. The methods and systems can receive search requests including search criteria and obtain data records and a plurality of respective data match policies for the data records that correspond to the search criteria. The methods and systems can display a first set of data records and a second set of data records. The first set of data records may match the search criteria and the second set of data records may be identified as a partial match to one or more data match policies associated with the first set of data records. The methods and systems can receive a request to modify a data match policy corresponding to at least one of the second set of data records and generate and display a plurality of suggestions for executing the at least one request.

Abstract: Techniques and solutions are described for determining whether an update to be sent to a production database system from a quality database system will provide consistent table relationships if applied at the production database system. These consistency checks can be carried out without transmitting entire table records from the quality system to the production system, which can reduce network traffic. These consistency checks can also reduce performance impacts at the production system, as test condition generation can be carried out at the quality database system. A consistency check method can include the quality database system determining values of updated or added records of a first table that should be consistent with a second table. The test conditions cause the production database system to execute a test to determine whether the values are present in the production system. Consistency violations can be remedied before the update is applied.

Abstract: A computer implemented method is provided for capturing and replaying a database workload by obtaining a workload capture file comprising execution context information generated in a database system and replayable to replicate the workload, generating a modified workload capture file by generating modified execution context information, replaying the modified workload capture file by generating at least one read statement based on the modified workload execution information and issuing at least one read statement to a primary database system having an associated secondary database system, determining that the at least one read statement may be routed to the secondary database system for execution, and routing the read statement to the secondary database system for execution. Related apparatus, systems, techniques and articles are also described.

Abstract: The present disclosure involves systems, software, and computer implemented methods for using declarative rules for optimized access to data. One example method includes receiving a structured query language (SQL) query, the SQL query associated with at least one database table and at least one predicate. A determination is made as to whether the SQL query is associated with at least one declarative rule based on the at least one database table and the at least one predicate. In response to determining that the SQL query is associated with at least one declarative rule, the at least one associated declarative rule is applied, during optimization of the SQL query. The at least one declarative rule defines a transformation to the SQL query to be performed during query optimization. An updated SQL query is generated based on the applied at least one associated declarative rule and the updated SQL query is provided.

Abstract: Technologies are described for generating and validating encrypted coupons. For example, an encrypted coupon can be received. The encrypted coupon can be decrypted using a public key. The decrypted coupon can be decoded (e.g., using a pre-defined data format) to extract coupon data comprising a unique coupon identifier and a unique user identifier. The decrypted coupon can be validated based at least in part upon the unique coupon identifier and the unique user identifier. The process of receiving the encrypted coupon, decrypting the encrypted coupon, decoding the decrypted coupon, and validating the decrypted coupon can be performed offline (e.g., without access to external networks or the internet) and without accessing information indicating associations between unique coupon identifiers and unique user identifiers.

Abstract: The present disclosure involves systems, software, and computer implemented methods for correlating critical events to identified log data. An example event log analyzer can identify a set of log messages. One or more occurrences of a first critical event and a time of each of the occurrences are identified. One or more candidate subsets of log messages are identified. Each log message in each candidate subset is associated with a timestamp that is within a predefined time window prior to the time of an occurrence of the first critical event. A candidate subset of log messages is selected as a correlator of the first critical event. A rule is defined using the selected candidate subset of log messages. The rule defines a second critical event that correlates to the first critical event. The rule is associated with one or more actions to perform when the second critical event occurs.

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: Methods and systems of the present disclosure provide techniques for selecting displayed data in a Customer Journey diagram as eligible for one of presentation of contextual data and analysis. The methods may further include analysis or presentation of the selected displayed data in a manner that maximizes the comprehensibility of the data. The techniques for selecting displayed data as eligible for presentation or analysis include at least one of: increasing the visibility of a selected path; selecting, or multi-selecting, paths and/or Nodes for analysis; rendering contextual data from a Customer Journey diagram according to a point of click; providing additional methods for presentation of contextual data or action options; providing granular drilling information regarding a Customer Journey on demand; and dynamically adjusting a point of focus according to a diagram selection.

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: Techniques and solutions are described for determining elements of different database tables have a semantic relationship, and optionally executing a value query using such tables. Tables, including those lacking a technical relationship (such as having a foreign key relationship or association) can be semantically related if an element of the table has the same semantic identifier, such as a domain, as an element of another table. The semantic relationship can exist even if other information, such as field names associated with a respective semantic identifier, are different between the two tables. A source table can be semantically related to one or more other tables, including indirectly based on semantic relationships between two or more of such other tables. Semantic table information can be recursively analyzed, including in a hierarchical manner, to identify a set of semantically related tables. The analysis can be constrained, such as to avoid loops or limit result size or running time.