ALLOWING IN-LINE EDIT TO DATA TABLE OF LINKED DATA OF A DATA STORE

    公开(公告)号:US20180067976A1

    公开(公告)日:2018-03-08

    申请号:US15339522

    申请日:2016-10-31

    CPC classification number: G06F16/252

    Abstract: In an example, a database system may be configured to download to a user system an application configured to generate a data table from records stored in a data store, wherein the data table includes: a plurality of rows, wherein each row corresponds to at least one record of the records; and each row including a plurality of cells, each cell corresponding to a different grouping of data fields of its respective one(s) of the records; receive a communication from the application, the communication corresponding to at least one user input to a displayed cell of the data table; determine whether to feedback the at least one user input to the displayed cell of the data table to a corresponding data field of a corresponding record of the data store; and update the corresponding record in the data store based on a result of the determination.

    METHODS AND APPARATUS TO PERFORM ELASTIC MONITORING OF SOFTWARE APPLICATIONS USING EMBEDDED WATCHDOGS

    公开(公告)号:US20180062965A1

    公开(公告)日:2018-03-01

    申请号:US15249984

    申请日:2016-08-29

    Abstract: A method for implementing software application monitoring techniques is provided. The method embeds, by at least one processor, a monitor in an application to create a self-monitoring application package, wherein the monitor is configured to generate metrics data associated with functional health of the application; deploys the self-monitoring application package to a remote computing system, via a communication device communicatively coupled to the at least one processor; executes the self-monitoring application package, by the remote computing system; automatically receives, via the communication device, the metrics data from the remote computing system; migrates the self-monitoring application package to a second remote computing system, wherein the monitor is configured to generate the metrics data independent of a remote computing system location of the self-monitoring application package; executes the self-monitoring application package by the second remote computing system; and automatically receives the metrics data from the second remote computing system.

    RATE LIMITING IN A MODERATION FRAMEWORK OF A DATABASE SYSTEM

    公开(公告)号:US20180060363A1

    公开(公告)日:2018-03-01

    申请号:US15273217

    申请日:2016-09-22

    CPC classification number: G06F16/21

    Abstract: Some external users in a public on-line community may post excessive numbers of items, causing annoyance to others and unnecessary loading on database resources. A robust moderation framework enables an individual community moderator or admin to specify a set of rules and actions to mitigate this problem. Scalable, performant rate limiting rules employ windowed counters, separately for each rule, with the counters maintained in cache memory resources outside the main database.

    ADJUSTING FEATURE WEIGHTS FOR RANKING ENTITY BASED SEARCH RESULTS

    公开(公告)号:US20180052853A1

    公开(公告)日:2018-02-22

    申请号:US15243598

    申请日:2016-08-22

    CPC classification number: G06F16/24578 G06F16/22 G06F16/9535

    Abstract: A system stores objects of different types and allows search over the objects. The system receives search requests and processes them to determine search results matching the search criteria. The system ranks the search results based on weighted aggregates of features describing objects represented by each search result. The system monitors search results that were accessed by user for further information and marks them as accessed results. The system adjusts the feature weights used for ranking search results to optimize the ranking of the search results. The system analyzes the result of using the adjusted feature weights on past searches that are stored in the system. The system determines an aggregate accessed results rank for each adjusted set of weights. The system selects a set of feature weights that optimizes the aggregate accessed results rank for past searches.

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