10results about How to "Query speed" patented technology

The invention provides a transaction message processing method, electronic equipment, a storage medium and a program product, and relates to the technical field of data processing. The method comprises the following steps: receiving a message to be processed; the to-be-processed message comprises interface calling information of the target transaction channel; determining a script file corresponding to the interface calling information of the target transaction channel; and converting the to-be-processed message into a message suitable for being processed by the target transaction channel by executing the script file to obtain a converted message. According to the application, logic processing of different transaction channels is isolated, so that the transaction channels do not influence each other, and the stability of transaction message processing is improved.

The application discloses a kind of chip finding method, system and storage medium based on knowledge graph, method includes: crawling chip model, chip original factory and 3 kinds of entity information of application field, obtain data source;The unstructured information in data source is structured, and structured information is inserted into knowledge graph;Chip knowledge graph database is constructed;According to the query requirement of user, requirement integration, analysis, translation are carried out;Chip knowledge graph database returns the query result to user.The system includes: crawler module, data processing module, chip knowledge graph, requirement acquisition module, finding module and output module.The application is based on knowledge graph technology, and information such as chip, manufacturer and application field is collected into graph, and the user can find the required chip from multiple dimensions, especially in the case of incomplete product information, targeted search can be carried out, with high search efficiency and accurate search results;It is conducive to the popularization and application of semiconductor chips.

The present application provides a data query method and device based on table association, which relates to the field of data processing technology and solves the technical problem of low data query efficiency in multiple data tables. The method includes: extracting a first data table with query possibility from multiple data tables stored in a specified database through a neural network model based on the query semantics of the query content, and determining the query column in the first data table and the screening conditions for the first data table according to the query semantics; according to the table name of the first data table, in the data table knowledge graph, all related paths formed by the direction of each first data table pointing to the corresponding main table relationship are retrieved by pointing to the direction of the corresponding main table relationship; from all related paths, determine the target related path containing the least number of path nodes, and the target path direction corresponding to the target first data table in the target related path.

The present invention provides a spatiotemporal data prediction method, electronic device and storage medium, which can be applied to the field of track prediction. The method includes: gridding and labeling the flight space and flight time series respectively; constructing a spatiotemporal knowledge graph of multi-dimensional relational data based on the labeled and encoded flight three-dimensional space grid and the labeled and encoded flight time grid; extracting a flight hotspot region sequence that changes with time using the spatiotemporal knowledge graph, and predicting the flight hotspot region based on the flight hotspot region sequence through a trained bidirectional long short-term memory network to obtain a first prediction result of the flight hotspot region; extracting a multivariate time series that changes with time using the spatiotemporal knowledge graph, and predicting the flight hotspot region based on the multivariate time series through a trained sequence model based on an attention mechanism to obtain a second prediction result of the flight hotspot region.

The invention discloses a log data compression and retrieval method and electronic equipment, and the method comprises the steps: obtaining to-be-compressed log data, dividing vocabularies, traversing the vocabularies, and searching a current traversed vocabulary in a dictionary tree; if so, obtaining a target ID mapped in the dictionary tree; determining a target hash value and searching a corresponding linked list; if a node for recording the storage information of the log data exists in the linked list, triggering compression, otherwise, adding a corresponding node in the linked list and then triggering compression, and generating an alarm when abnormity occurs based on the frequency of vocabularies in the dictionary tree; when the compression is triggered, replacing the current vocabulary with the target ID; and traversing the next vocabulary until traversing is finished, updating corresponding storage information, determining an ID in the dictionary tree according to the retrieved vocabulary during retrieval, searching the corresponding linked list, and decompressing log data corresponding to the storage information in the linked list by utilizing mapping of the ID recorded in the linked list to the vocabulary. Therefore, the problems of complex data management and high maintenance cost caused by separation of compression and index in the prior art are solved.

The invention discloses a data query method and device, and relates to the technical field of big data. A specific embodiment of the method comprises the following steps: in response to a received data query request, obtaining user consultation information corresponding to the data query request; carrying out keyword extraction on the user consultation information, and based on an extraction result, finding out a target plug-in corresponding to the extraction result from a pre-configured plug-in list; performing data query according to the extraction result by utilizing the target plug-in to obtain a data query result; according to the specific implementation mode, the related data of the user consultation information can be automatically queried, the query speed is high, and the efficiency is high.

The invention discloses a notification message arriving method, system and device, a storage medium and a program product, and is applied to the field of data processing. The method comprises the steps of obtaining configured notification information and a user portrait index, obtaining a user list and a customer group identifier corresponding to the user portrait index, storing the customer group identifier and the notification content in a relational database, generating a notification identifier, and sending the notification identifier to the user portrait index, generating a notification mapping field corresponding to each user based on information except notification content in the notification information, the notification identifier and the user identifier in the user list, storing the notification mapping field in a full-text search engine database, and responding to a received query request sent by a terminal, and searching a matched first notification mapping field from the full-text search engine database, acquiring first notification content corresponding to the first notification mapping field from the relational database, and pushing the first notification content to the terminal. And the response speed of inquiring the notification message is improved.

The invention discloses a collaborative office data processing method and device, and relates to the technical field of collaborative office, and the method comprises the steps: receiving form data; identifying a plurality of entities and relationships among the entities based on the form data; establishing a graph structure by taking the form version identifier and the plurality of entities as nodes and taking the relationship between the entities as edges; monitoring whether each table cell of the form is selected or not, and locking a first table cell when the first table cell is selected; receiving data transmitted by the first cell, associating the first cell with a first entity in the graph structure according to the rank of the first cell and the rank of the entity, and configuring the data transmitted by the first cell as the attribute of the first entity to obtain an updated graph structure; when the first cell is cancelled to be selected, the first cell is unlocked, and data transmitted by the first cell is displayed in the form; and storing the updated graph structure in a graph database. According to the invention, effective utilization of collaborative office data can be improved.

The present invention relates to a data backup and recovery system and method based on deduplication. The system includes a backup proxy module and a backup service module arranged locally. The backup service module is connected to the cloud for communication. The backup proxy module is configured to: read the business application data to be backed up, perform sharding and fingerprint calculation on the business application data, obtain the data shards and their fingerprint information; obtain the data object information to be restored; the backup service module maintains a local fingerprint database, a local object fingerprint library and a local index database, and is configured to: determine whether it is duplicate data based on the received fingerprint information and the local fingerprint database; query the local index database and the local object fingerprint library based on the data object information to be restored, download the specified data shards from the cloud and merge them. Compared with the prior art, the present invention has the advantages of ensuring data reliability, reducing the occupation of network bandwidth and cloud storage space, etc.

The application discloses a cross-document type retrieval method and system based on differential nested coding. The method includes six steps: document preprocessing, document type identification, differential coding, index construction and optimization, online retrieval and result fusion. First, the document is standardized and preprocessed to extract structured information. Second, the BERT classifier is used to analyze the document features and identify the document type. Then, according to the document type, the corresponding encoder is selected to generate the original coding vector. Next, the differential nested coding index is constructed and optimized. In the online retrieval stage, the user query is preprocessed, the relevant document type is predicted, and the approximate nearest neighbor retrieval is performed. Finally, the retrieval results are sorted by a stepwise weight fusion strategy, and the top-100 retrieval results are returned. Through differential coding and index optimization, the application realizes efficient retrieval of different types of documents, and has significant practical value and application prospect.