Abstract: In accordance with embodiments, there are provided mechanisms and methods for authenticating and authorizing an external entity. These mechanisms and methods for authenticating and authorizing an external entity can enable improved data security, more efficient data transfer, improved data access channels, etc.

Abstract: System, method, and computer product embodiments for proving a chart with dynamically-adjusted scale labels are described. A graphical user interface (GUI) generates a chart to display a set of data within a display area. The chart includes a plurality of x-axis scale labels to indicate a scale on the x-axis of the chart. The GUI reduces a distance between adjacent x-axis scale labels from the plurality of x-axis scale labels, responsive to detecting a command that re-renders the chart and that reduces the distance between adjacent x-axis scale labels. When the GUI determines that the distance is within a threshold, the GUI increases the distance by rotating each x-axis scale label towards a vertical orientation. Then, the GUI displays the set of data and the plurality of rotated x-axis scale labels within the chart as re-rendered according to the command.

Abstract: The technology disclosed provides a novel and innovative technique for compact deployment of application code to stream processing systems. In particular, the technology disclosed relates to obviating the need of accompanying application code with its dependencies during deployment (i.e., creating fat jars) by operating a stream processing system within a container defined over worker nodes of whole machines and initializing the worker nodes with precompiled dependency libraries having precompiled classes. Accordingly, the application code is deployed to the container without its dependencies, and, once deployed, the application code is linked with the locally stored precompiled dependencies at runtime. In implementations, the application code is deployed to the container running the stream processing system between 300 milliseconds and 6 seconds. This is drastically faster than existing deployment techniques that take anywhere between 5 to 15 minutes for deployment.

Abstract: Systems, methods, and computer-readable media for processing and sending messages with low latency are described. An application server may obtain a triggered send request (TSR) message from triggered send (TS) subscriber. The TSR message may comprise TSR information and a TSR payload. The application server may directly inject the TSR payload to an available message server for processing when the TSR information indicates that a first priority is associated with the payload, and may notify the available message server that the TSR payload is available for processing when the TSR information indicates that a second priority is associated with the payload. The application server may also write the TSR payload and/or TSR information to a TSS queue of a TSS tenant space, and may write the payload to a non-relational datastore regardless of a priority associated with the payload. Other embodiments may be described and/or claimed.

Abstract: The disclosed deployment testing system includes a test loader that loads and parses test objects and the antecedent test objects on which the selected test object depends, to prepare a test sequence. A database of test objects apply to one or more SUT and specify aspects of deployed SUT configuration that include hardware configuration, active connection of the SUT to other network devices, configuration of the actively connected network devices to accept access by the SUT, presence of files and applications in storage, and services running on the SUT; identify dependencies on antecedent test objects; specify test object features that extend object features found in the antecedent test objects; and override test parameter values in the antecedent test objects. A test executor obtains administrative credentials for accessing and testing a SUT and uses the test and antecedent test objects to verify the SUT; and a test reporter publishes tester results.

Abstract: Systems and methods are provided for encouraging user engagement during a presentation to a group of users in attendance at a presentation. When presentation mode is enabled at a user system, the user system monitors its user input and output systems to determine whether any of the user input and output systems have been interacted with during the presentation mode. Each time a processing system of the user system determines that any of the user input and output systems have been interacted with during the presentation mode, it communicates a message to a server system, which computes, based on messages received from the user system, an engagement metric for a user of the user system. This engagement metric indicates a level of engagement of that user during the presentation.

Abstract: Techniques for refreshing an authentication token. Access is granted to a secure computing environment in response to receiving authentication information from a requesting computing device. The access is granted for a session and one or more client applications allow secure delegated access to server resources on behalf of a resource owner by utilizing an access token. The access token is refreshed without explicit user interaction utilizing the authentication information for the session while the session is valid. Access is granted to the secure computing environment in response to the refreshed access token.

Abstract: An encryption platform may identify language characters in database fields and determine which of multiple encoding schemes more efficiently encodes the language characters. The encryption platform may use the selected encoding scheme to encode plaintext into a byte array and then encrypt the byte array into ciphertext. The encryption platform may assign encoding flags to the ciphertext identifying the encoding scheme used for encoding the plaintext. The encryption platform then may use the encoding flag to determine which encoding schemes to use for decoding the data back into plaintext. Using the different encoding schemes allows encrypted data to fit better into database storage structures. The encryption platform also may enable users to select different fields for different selectable objects for encoding and encrypting.

Abstract: Embodiments regard protected handling of database queries. An embodiment of a method for querying database system views and tables includes: receiving a user query from a user, the user query being directed to one or both of a view and a table of a database, wherein the user is not a database administrator; parsing the user query with a query parser to identify elements of the user query, parsing the query including determining whether the query meets certain database access criteria; automatically generating a database query based on the parsing of the user query, the generation of the database query including generating a database query that is limited by the database access criteria; accessing the one or both of the view and the table using the generated database query, wherein the access is limited to read-only access; and obtaining a result of the access of the one or both of the view and table.

Abstract: Technologies for injecting dynamic content into microblogging posts are described, where dynamic content may be updated each time a post or feed is fetched or refreshed. A user of may add a placeholder for dynamic content when composing a post. The placeholder indicates a data provider and a data parameter. When the post is published, the data provider and data parameter are stored along with the other content of the post. When the post is requested, every placeholder in the post is parsed and content is obtained for every placeholder by passing the data parameter to the data provider. The placeholder is replaced with the data returned by the data provider and the post is provided to the requesting entity including the obtained data in place of the placeholder.

Abstract: The disclosed methods and systems for coordinating deployment and regression testing across data centers and system clusters in multiple service clouds include accessing test suites via a versioning platform that maintains a metadata notation of an applicable-version to which a version of a test suite applies. They include receiving a request-to-test to run a selected test suite against a selected system; making a machine-to-machine query about the selected system and receiving back a response that specifies a version-to-be-tested; automatically selecting from the versioning platform a test suite version with the applicable-version that supports the version-to-be-tested consistent with the metadata notation of the applicable-version of the selected test suite; and reporting results of running the selected test suite.

Abstract: In a method, system, and computer-readable medium having instructions for executing a query in a database system, a query request is received with a query predicate to filter data returned in response to the query request and the query predicate has a formula, the query request is transformed to a transformed query request by preprocessing the formula in the query predicate, and the query request is optimized using the transformed query request.

Abstract: Computer implemented methods and systems are provided for executing tests in a system that includes a user system and a cloud-based computing platform. The user system includes a processing system, memory and an input system that receives input parameters specified by a user of the user system. The memory can store a test class filter module executable by the processing system. Upon being executed by the processing system, the test class filter module can, based on one or more of the input parameters, group and filter test class identifiers to generate a unique test class identifier array of filtered test class identifiers that correspond to a particular subset of tests that are to be executed during testing of an application. A test execution engine can then execute the particular subset of tests corresponding to the filtered test class identifiers specified in the unique test class identifier array.

Abstract: The technology disclosed relates to discovering a previously unknown attribute of stream processing systems according to which client offsets or client subscription queries for a streaming data store rapidly converge to a dynamic tip of a data stream that includes the most recent messages or events. In particular, it relates to grouping clients into bins to reduce a number of queries to the streaming data store by several orders of magnitude when servicing tens, hundreds, thousands or millions of clients. The bin count is further reduced by coalescing bins that have overlapping offsets. It also relates to establishing separate caches only for the current tips of data streams and serving the bins from the caches instead of the backend data store using group queries. Further, the caches are periodically updated to include the most recent messages or events appended to the dynamic tips of the data streams.

Abstract: The technology disclosed determines one or more field values in a set of field values for a particular field in a fielded dataset that are similar to an input value using six similarity measures. A factor vector is generated per similarity measure and combined to form an input matrix. A convolutional neural network processes the input matrix to generate evaluation vectors. A fully-connected network evaluates the evaluation vectors to generate suggestion scalars for similarity to a particular input value. Thresholding is applied to suggestions scalars to determine one or more suggestion candidates for the particular input value.

Abstract: The technology disclosed determines which field values in a set of unique field values for a particular field in a fielded dataset are anomalous using six similarity measures. A factor vector is generated per similarity measure and combined to form an input matrix. A convolutional neural network processes the input matrix to generate evaluation vectors. A fully-connected network evaluates the evaluation vectors to generate an anomaly scalar for a particular unique field value. Thresholding is applied to anomaly scalar to determine whether the particular unique field value is anomalous.

Abstract: Embodiments regard manifest schema to provide application flows. An embodiment of a method includes: loading a manifest schema on a device, the manifest schema including a parent manifest and one or more application manifests; making a call to a server to populate a user interface of the device based on the manifest schema; upon receiving a message at the mobile device, utilizing the parent manifest to automatically select an application for routing of the message, the selection of the application being based on contents of the message; and utilizing an application manifest for the selected application to automatically select a process for routing of the message, the selection of the process being based on the contents of the message using an application manifest for the selected application.

Abstract: Mechanisms and methods are provided for managing OAuth access in a database network system, and extending the OAuth flow of authentication to securely store the OAuth encrypted refresh token in the storage available with current browsers or any other non-secure storage on user system.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for monitoring data activity utilizing a shared data store. These mechanisms and methods for monitoring data activity utilizing a shared data store can enable enhanced data monitoring, more efficient data storage, improved system resource utilization, etc.

Abstract: Performance of web pages and mobile device applications with multiple components rendered on a user device is dynamically speeded up, including dynamically measuring network communication latency, adjusting inter-boxcar intervals used to dispatch batches of action requests from the user device to a production server, and dispatching boxcarred requests to the server. Adjustments to the boxcar intervals are based on the dynamically measured network communication latency and a number of connections supported between the user device and the server. The measured network communication latency is calculated as dispatch-to-completed response time minus server processing time and the server processing time is received from the server for a boxcar of completed responses. The system adjusts according to feedback received, as a browser or mobile device changes network connections or the network conditions change, and adapting over time for a particular user.