Abstract: Clustering structured log data by key schema includes receiving a raw log message. At least a portion of the raw log message comprises structured machine data including a set of key-value pairs. It further includes receiving a map of keys to values. It further includes using the received map of keys to values to determine a key schema of the structured machine data. The key schema is associated with a corresponding cluster. It further includes associating the raw log message with the cluster corresponding to the determined key schema.

Abstract: Implementations of the disclosure provide for anticipatory pre-execution of queries. In an implementation of the disclosure, a method for anticipatory pre-execution of queries includes the computation of an execution cost of each of a multiplicity of different queries to a data source scheduled at a specified time on a specified date. The method also includes monitoring a querying processing schedule and detecting from the monitoring, unscheduled time on a particular date prior to the specified time on the specified date. Finally, the method includes responding to the detection by first selecting a most expensive one of the different queries in terms of execution cost, for instance an amount of computing resources consumed in executing a corresponding one of the different queries, and then executing the selected most expensive one of the different queries during the unscheduled time on the particular date prior to the specified time on the specified date.

Abstract: A method includes selecting a database on a system and selecting a style format on the system. The database contains data information for the web application, and the style format is applied to the web application. The method also includes selecting a validation rule for the web application, selecting a business rule for the web application, dynamically rendering the web application from a database to a web browser, and dynamically editing the web application. The web application incorporates the selected database and the selected style format instantaneously upon dynamic rendering.

Abstract: Devices, methods and systems for processing database queries formatted differently than the database storage model being queried are disclosed. Processing database queries independent of the storage model of the queried database may be performed by receiving a query for one or more data items stored in a database, determining whether to use at least one query operator that uses data having a format different from the storage model format of at least one of one or more data items stored in the database and converting the format of the data used by the at least one query operator to a format that matches the storage model format of at least one of one or more data items stored in the database. Related systems, methods, and articles of manufacture are also described.

Abstract: The present embodiments relate to systems and methods for using a blockchain to record information related to processes and services in the vehicle industry. The systems and methods may include (1) receiving an indication of vehicle being involved a vehicle collision and a vehicle VIN; (2) accessing, at a memory, a loss history blockchain associated with the vehicle using the VIN as a key; (3) receiving vehicle sensor data generated or collected prior to, during, and/or after the vehicle collision; (4) creating a block to add to the loss history blockchain that includes the vehicle sensor data, or otherwise updating the loss history blockchain with the vehicle sensor data associated with the vehicle collision; (5) analyzing the vehicle sensor data to reconstruct the vehicle collision; and/or (6) updating the loss history blockchain to include and/or indicate the reconstructed vehicle collision by including the created block.

Abstract: An apparatus comprising an interface and a natural language processor. The interface receives a data retrieval request formatted in a natural language and the natural language processor processes the data retrieval request. Processing the data retrieval request includes identifying database entities, database relations, or any combination thereof based words in the data retrieval request. It can also include identifying database entity criterion, database relation criterion, or any combination thereof based on words in the data retrieval request. It also includes generating a database query based on the database entities, the database relations, the database entity criterion, the database relation criterion, or any combination thereof and causing the database query to be applied to a database. Wherein, processing the data retrieval request includes grammatically tagging the data retrieval request using part-of-speech tagging techniques, e.g.

Abstract: Methods, including computer programs encoded on a computer storage medium, for indexing native application data. In one aspect, a method includes: receiving, by a search engine and from a mobile device, a set of data that is generated by a native application on the mobile device, the set of data including (i) data that identifies the native application, (ii) a representation of viewed content, (iii) a link to the viewed content that, when selected, launches the viewed content in the native application; storing, by the search engine, (i) the data that identifies the native application, and (ii) the link to the viewed content in association with the viewed content; and using the stored set of data in generating a search result that (i) references the viewed content, and (ii) includes the link to the viewed content that, when selected, launches the viewed content in the native application.

Abstract: A method and apparatus for estimating the cardinality of graph pattern queries using graph statistics and metadata is presented. In various embodiments, node and edge labels are used to compute estimates for graph patterns (bi-grams) and the estimates for these patterns as composed to provide cardinality estimates of longer paths. The computation of bi-grams is low cost and requires only minimal changes to the existing query planner in the existing database machinery to be useful. The resulting estimates are used during query execution to minimize the amount of work needed to complete a query and return a faithful and accurate answer to the user. The apparatus includes modules containing computer-executable instructions to perform the above method.

Abstract: A vehicle data management device includes a data acquisition unit and a data conversion unit. The data acquisition unit is configured to acquire, from each of a plurality of in-vehicle devices mounted on a corresponding vehicle of a plurality of vehicles, a vehicle identification information that is set based on at least a model of the vehicle, and a first data that is contained in a communication frame and is indicative of a vehicle information. The data conversion unit is configured to convert the first data into a label and a second data based on a conversion map that contains a label identification information for identifying the label corresponding to the first data, and a conversion information for converting the first data into the second data. The conversion map contains at least one label identification information and at least one conversion information for each vehicle identification information.

Abstract: Disclosed is a system, method, and computer program product for analyzing sets of data in an efficient manner, such that analytics can be effectively performed over that data. Classification operations can be performed to generate groups of similar log records. This permits classification of the log records in a cohesive and informative manner.

Abstract: A system and method for generating a submittal register for various construction projects or other items is disclosed. Among other things, the system and method include inputting the construction project specifications in a file format, such as PDF, into a web application interface to convert the specification to a text file, applying an algorithm to the text file based on a set of rules, that are iteratively revised using machine learning, to identify all required submittals, generating a final submittal register, and delivering the final submittal register.

Abstract: A computer implemented method includes establishing, by a data intake and query system, a network connection between the data intake and query system and an application and infrastructure monitoring platform. The data intake and query system receives a data stream from the application and infrastructure monitoring platform. The computer implemented method further includes transforming the data stream while receiving the data stream to obtain a transformed data stream. Further, the transformed data stream is analyzed while receiving the data stream to generate analysis results, which are presented.

Abstract: According to implementations of the subject matter described herein, there is proposed a solution for automatic analysis of a difference between multi-dimensional datasets. In this solution, an analysis request is received for a first dataset and a second dataset, each of which including data items corresponding to a plurality of dimensions. In response to the analysis request, data items corresponding to a first dimension in the first and second datasets are compared. Based on the comparison, a first set of influence factors associated with the first dimension are determined, each influence factor indicating a reason for a difference between the first and second datasets from a respective perspective. An analysis result related to the difference between the first and second datasets is presented based on the first set of influence factors. In this way, it is possible to achieve automatic and efficient analysis of the difference between the different datasets.

Abstract: Systems and methods are disclosed for efficiently storing information identifying journey instances within unstructured event data of a data intake and processing system. Each journey instance is illustratively associated with a series of events within the unstructured event data occurring over a journey duration. Because the unstructured event data may be constantly updated, any given inspection of the event data may yield both complete and incomplete instances. Storage of instance data over time can require updating of prior incomplete journey instances with complete versions of such instance detected at a later point in time. However, a data store of the unstructured event data may be unsuited for such updating, as the store may maintain version information for deleted data to reduce possibility of data loss. To address this issue, a separate structured data store, such as a columnar time series data store, is provided to efficiently store instance information.

Abstract: Various embodiments are described for searching and retrieving documents based on a natural language input. A computer-implemented natural language processor electronically receives a natural language input phrase from an interface device. The natural language processor attributes a concept to the phrase with the natural language processor. The natural language processor searches a database for a set of documents to identify one or more documents associated with the attributed concept to be included in a response to the natural language input phrase. The natural language processor maintains the concepts during an interactive session with the natural language processor. The natural language processor resolves ambiguous input patterns in the natural language input phrase with the natural language processor. The natural language processor includes a processor, a memory and/or storage component, and an input/output device.

Abstract: The described technology relates to systems and techniques for accessing a database by dynamically choosing an index from a plurality of indexes that includes at least one learned index and at least one non-learned index. The availability of learned and non-learned indexes for accessing the same database provides for flexibility in accessing the database, and the dynamic selection between learned indexes and non-learned indexes provide for choosing the index based on the underlying data in the database and the characteristics of the query. Certain example embodiments provide a learned model that accepts a set of features associated with the query as input, and outputs a set of evaluated weights for respective features, which are then processed according to a set of rules to predict the most efficient index to be used.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for visualizing performance data of infrastructure components. The method includes receiving a query through an application for a metric for an infrastructure component, the metric comprising metric time series (MTS) data. The method also includes identifying sources for the metric. The method also includes querying the identified sources for the metric. The method also includes selecting from the identified sources best available data for the metric based on a selection algorithm. The method also includes enriching the best available data comprising linking dimensions and properties from the identified sources to the best available data. The method also includes causing display of the enriched best available data through a user interface of the application.

Abstract: A cluster data replication system includes a plurality of network elements and controllers. The controllers form a cluster that is able to elect one of the controllers as a master controller with the others being follower controllers. The elected controller updates, responsive to being elected the master controller, state information in a system database of the elected controller to indicate that the elected one of the controllers is the master controller. The master controller includes one or more objects that are enabled in reaction to the state information, and which coordinate replication of changes to the data, system database, and state information from the master to the follower controllers. Each follower controller includes one or more objects able to, in reaction to the state information, disable initiation of the replication of changes to the data, system database and state information by the one or more objects in each follower controller.

Abstract: In implementations of the subject matter described herein, a new approach for presenting a response to a message in a conversation is proposed. Generally speaking, in response to receiving a message in a conversation, the received message will be matched with one or more documents on the sentence basis. That is, the received message is compared with the sentences from a document(s), rather than predefined query-response pairs. In this way, a whole sentence may be selected from the document as a candidate response. Then the suitability of this sentence with respect to the ongoing conversation will be determined, and the response will be generated and rendered in an adaptive way based on the suitability. As a result, the user experiences may be significantly enhanced in the chatbot scenario.

Abstract: A data processing apparatus according to one or more embodiments may process metadata indicative of an attribute of real data input into an extract, transform, and load (ETL) tool external to the data processing apparatus. The real data and the metadata may each include an identification (ID). The data processing apparatus may include a memory and a processor. The memory may store a program. The processor may execute the program. The program may cause the processor to process the metadata to include the same ID as the real data output from the ETL tool.