Abstract: Provided is a system and method for searching for a target key in a database, the method including populating a hash-offset table of a sorted key table with hash-offset table entries, the hash-offset table entries having a hash-value corresponding to a respective key, and a hash offset, sorting the hash-offset table entries based on the hash-values, searching for a target hash-value of the hash-values corresponding to a target key in the hash-offset table, locating a target key-value pair corresponding to the target key based on the target hash-value, and saving a location of the target key-value pair.

Abstract: Embodiments are directed towards real time display of event records and extracted values based on at least one extraction rule, such as a regular expression. A user interface may be employed to enable a user to have an extraction rule automatically generate and/or to manually enter an extraction rule. The user may be enabled to manually edit a previously provided extraction rule, which may result in real time display of updated extracted values. The extraction rule may be utilized to extract values from each of a plurality of records, including event records of unstructured machine data. Statistics may be determined for each unique extracted value, and may be displayed to the user in real time. The user interface may also enable the user to select at least one unique extracted value to display those event records that include an extracted value that matches the selected value.

Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

Abstract: The present disclosure is related to methods, systems, and machine-readable media for supporting deduplication in file storage using file chunk hashes. A hash of a chunk of a log segment can be received from a software defined data center. A chunk identifier can be associated with the hash in a hash map that stores associations between sequentially-allocated chunk identifiers and hashes. The chunk identifier can be associated with a logical address corresponding to the chunk of the log segment in a logical map that stores associations between the sequentially-allocated chunk identifiers and logical addresses. A search of the hash map can be performed to determine if the chunk is a duplicate, and the chunk can be deduplicated responsive to a determination that the chunk is a duplicate.

Abstract: Methods, apparatus and computer program product for generating tiered search index fields based on a divided group-based communication data corpus in a group-based communication platform are described herein. In some embodiments, the system provides for receiving a group-based communication data corpus, generating a retrieval score, and assigning each group-based communication data object associated with a retrieval score. Each group-based communication data object may meet or exceed a retrieval score threshold of a high retrieval probability corpus. Each group-based communication data object associated with a retrieval score below the retrieval score threshold may be assigned to a low retrieval probability corpus. High and a low retrieval probability search index fields may be generated and associated with the high and low retrieval probability corpus.

Abstract: This document described digital decoupling architectures that enable existing computing systems to run in parallel with new computing technologies. In some aspects, a method includes receiving, by a digital decoupling system and from a source computing system, one or more updated data sets that each include data that has been updated at the source computing system. A source data entry of a source table of a database of the digital decoupling system is updated based on each updated data set. In response to detecting the change to the source table, a target data entry that includes data of the updated source data entry is added to a target table of the database. An adapter module obtains the data of the target data entry and generates an event that specifies the data of the target data entry. The event is sent to one or more destination computing elements.

Abstract: At a resource corresponding to one node of a data processing workflow, a persistent representation of a binary signal representing a condition associated with an event is generated. The signal indicates a validity period of the condition. At a second resource corresponding to another node of the workflow, a decision to initiate an action is generated based on analysis of a set of binary signals and an action scheduling rule, and the action is initiated.

Abstract: A query optimization system is described that, at runtime, optimizes the execution pipeline generated for a query. Based upon communications between nodes in the execution pipeline, the execution pipeline generated for a query is optimized by modifying the execution pipeline to create a modified execution pipeline. The modified execution pipeline is then executed to execute the query and results obtained for the query. The changes or modifications made to an execution pipeline may include changing the capabilities (e.g., changes to inputs and/or outputs of a node, changing the task(s) or function(s) performed by the node) of one or more nodes within the execution pipeline. The changes may include changing the position of one or more nodes within a directed acyclic graph representing the execution pipeline.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, to detect system problems using social media. One of the method includes monitoring posts on a plurality of social network sites. The method includes identifying posts that include at least one of a plurality of keywords, at least some of the keywords indicative of system problems. The method includes tagging the identified posts. The method includes determining, based on the tagged posts, that a system problem is occurring. The method also includes raising an alert regarding the system problem.

Abstract: In embodiments of field value search drill down, a search system exposes a search interface that displays one or more events returned as a search result set. A field-value pair can be emphasized in the field-value pairs of an event displayed in the search interface, and a menu is displayed with search options that are selectable to operate on the emphasized field-value pair of the event. The menu includes the search options to add search criteria of the emphasized field-value pair to a search command in a search bar of the search interface, exclude the search criteria of the emphasized field-value pair from a search, or create a new data search based on the emphasized field-value pair. A selection of one of the search options in the menu can be received, and the search command in the search bar is updated based on the search option that is selected.

Abstract: A real-time recommendation system includes a non-transitory, computer-readable storage medium having encoded thereon instructions that a processor executes to receive data from data sources that includes one or more data records. The processor then identifies features in data of a data record, extracts and buffers the features, and applies the features to a feature detect mechanism. The feature detect mechanism includes feature detect algorithm and more recommender algorithms that are encapsulated in a feature detection object. The feature detection object may be a Strategy/Composite feature detection object that includes Strategy design patterns. The processor further executes to reject a feature in response to failures of the feature to match at least one of the Strategy design patterns, and in real time, select and install features that match one or more of the Strategy design patterns into one or more recommender algorithms.

Abstract: Techniques for making machine learning inference calls for database query processing are described. In some embodiments, a method of making machine learning inference calls for database query processing may include generating a first batch of machine learning requests based at least on a query to be performed on data stored in a database service, wherein the query identifies a machine learning service, sending the first batch of machine learning requests to an input buffer of an asynchronous request handler, the asynchronous request handler to generate a second batch of machine learning requests based on the first batch of machine learning requests, and obtaining a plurality of machine learning responses from an output buffer of the asynchronous request handler, the machine learning responses generated by the machine learning service using a machine learning model in response to receiving the second batch of machine learning requests.

Abstract: A control method for a storage device of a driving recorder includes: configuring a directory entry of a storage device according to a predetermined directory entry stored in a storage unit; configuring a file allocation table of the storage device according to a predetermined file allocation table stored in the storage unit; and controlling a controller to write data to the storage device according to the directory entry and the file allocation table. In one embodiment, entries of the predetermined file allocation table are interleaved to accommodate multiple files and still support a continuous write operation.

Abstract: A method of inferring user intent in search input in a conversational interaction system is disclosed. A method of inferring user intent in a search input includes providing a user preference signature that describes preferences of the user, receiving search input from the user intended by the user to identify at least one desired item, and determining that a portion of the search input contains an ambiguous identifier. The ambiguous identifier is intended by the user to identify, at least in part, a desired item. The method further includes inferring a meaning for the ambiguous identifier based on matching portions of the search input to the preferences of the user described by the user preference signature and selecting items from a set of content items based on comparing the search input and the inferred meaning of the ambiguous identifier with metadata associated with the content items.

Abstract: An evolving system of computers linked into a neural network continuously scans and gathers information from, understands, and interacts with, an environment; and a client computer program interactively executes software instructions using a subject matter data warehouse to transform input into a search pattern. The evolving system server supercomputer program executes multivariant big data indexing to cherry pick the optimal input and output using page, site and supersite probabilities. The client computer program analyzes the optimal output given a search pattern in order to interact and engage scripted communication with the end user.

Abstract: A drive recorder operation system includes a drive recorder and an operation server. The drive recorder generates index information respectively corresponding to a plurality of video files, sends the index information to the operation server, and prohibits a video file from being overwritten based on an overwrite prohibition command from the operation server. The operation server receives an instruction designating index information and sends an overwrite prohibition command including the designated index information to the drive recorder.

Abstract: A device may receive, from a source device, original time series data to be stored in a data structure associated with the device, and may sort the original time series data to generate sorted time series data. The device may identify an index for the original time series data based on the sorted time series data. The device may process the sorted time series data, with a regression model, to generate compressed time series data and parameters associated with the compressed time series data. The device may encode the index to generate an encoded index, and may store the encoded index, the compressed time series data, and the parameters in the data structure.

Abstract: The present disclosure provides a query processing method. The method includes: determining a query feedback based on a received query request including a character string; determining a target candidate entity set based on the query feedback, the character string and a preset knowledge base; evaluating each target candidate entity in the target candidate entity set to obtain evaluation results; and determining a category of each target candidate entity based on the evaluation result of the target candidate entity.

Abstract: The present disclosure relates to a system and techniques for enabling data to be updated within a data store through concurrent operations. Embodiments of the system enables multiple client applications (e.g., implemented on a cloud platform) to update data concurrently. In some embodiments, operations may be determined to be either client-managed operations or service-managed operations. Client-managed operations may be performed by a client application, whereas the client application may pass service-managed operations to a service application. The service application may put each of the service-managed operations into a commit queue wherein each service-managed operation is committed only after the one put into the queue before it has been committed.

Abstract: Methods, systems, and computer-readable storage media for determining, by an asset service executing on a server associated with the on-premise system, that a document has been added to the on-premise system, providing, within the cloud-based system, a temporary data object that stores data of the document, generating, within the cloud-based system, a persistent data object based on the temporary data object, the persistent data object storing data of the document, deleting the temporary data object, and associating a document identifier of the document to an asset identifier of the persistent data object within a repository of the on-premise system.