27 results about "Embedded database" patented technology

The invention relates to the technical field of computer software development and databases, in particular to an embedded database programming method which comprises the steps of intention model construction: scanning source codes to identify embedded syntax blocks, constructing an abstract syntax tree, stripping a bottom driver and generating a driver-independent intention model; a logic sequence synthesis step: injecting a dialect parameter and a resource strategy, synthesizing and executing a logic sequence and generating a target code; a fingerprint verification step: intercepting a request during operation, calculating a structure fingerprint, and performing consistency verification on the structure fingerprint and the reference fingerprint; and a binding execution step: executing the request after the verification is passed, and establishing weak reference life cycle binding of the resource object and the host variable. The resource leakage risk is eliminated, and the robustness of the system under long-time operation is enhanced.

The invention discloses an energy storage data non-inductive access system and method based on RPC proxy and distributed storage. The system comprises a plurality of slave cabinets and a master cabinet. The slave cabinets store time sequence data and self information including cabinet identifiers, cabinet websites and database access ports in a local database, and periodically report the time sequence data through multicast; the master cabinet does not persistently store slave cabinet data, and a slave cabinet discovery module of the master cabinet monitors multicast and automatically generates and maintains a dynamic slave cabinet information list containing cabinet identifiers of the slave cabinets and database connection addresses; and the energy storage application layer initiates an SQL access request by calling a unified RPC interface of the main cabinet, an embedded database access proxy engine analyzes the SQL and queries a list, establishes connection with a target slave cabinet database, forwards and executes, and returns a result through the RPC. According to the invention, distributed storage and transparent unified non-inductive access of data are realized, capacity expansion of a main cabinet disk is avoided fundamentally, application development is simplified, and plug-and-play expansion of the system is supported.

The invention provides a centralized storage method and device for an airborne multi-relation table database. A transaction management unit obtains a transaction operation instruction and sends the transaction operation instruction to a data mirror image table processing unit; the data mirror image table processing unit locally searches whether a corresponding data relation list exists or not based on the transaction operation instruction, if yes, a data table corresponding to the data relation list is locally obtained, and operation indicated by the transaction operation instruction is carried out on the obtained data table; after executing all transaction operation instructions, the data mirror image table processing unit temporarily stores the updated data relation list and the updated data table locally; when a preset condition is met, the updated data relation list and the updated data table are sent to a multi-relation-table storage unit to be stored, and the original data relation list and the original data table of the multi-relation-table storage unit are covered; the system performance and the resource utilization rate can be improved; the method is used for managing data tables in a disk in an airborne embedded database.

The application provides an embedded database compatibility test method and device, the method comprises the following steps: inserting a plurality of stub points into the program file of the original database used by the target application program in a dynamic stubbing manner by using a tracking tool based on eBPF technology; acquiring the calling information of the plurality of stub points of the target application program within a preset running time; generating a test case library matched with the new database based on the calling information by using a preset test library generation program; running all the test cases in the test case library in the new database, and outputting the compatibility test result of the new database; the tracking tool based on eBPF technology is used to capture the related information of the SQL syntax and API interface called by the embedded database to the target application program, meanwhile, the compatibility test case library is generated, and the SQL syntax, API interface compatibility test, performance test and data consistency test of the new database are directly performed, so that the compatibility test efficiency can be effectively improved, and the database replacement cost can be reduced.

A PLC high-frequency data management system based on a built-in database comprises an embedded database, a database operation engine, a data recording function block, a database operation function block, an annular memory cache region, a nonvolatile storage medium and a communication service module during PLC operation. A lightweight database and an intelligent cache mechanism are deeply integrated in the PLC, and high-frequency real-time small data packets are written and converted into low-frequency batch large transaction operation, so that high-frequency, stable and structured recording and convenient query of process data are realized on the premise of ensuring control instantaneity and low CPU load.

The invention relates to an embedded database copying and backup method, and belongs to the technical field of embedded databases. According to the method, a master database end and a slave database end are connected through a database replication and backup program dbrepsql, and an embedded database replication and backup management system is constructed; the system comprises a database replication and backup program dbrepsql and a database replication and backup control program dbget. According to the method, the transaction operation process is recorded in the operation log file at the master database end, and after the operation log file is transmitted to the slave database end through the network, the slave database end performs transaction operation replay, so that the data change of the master database end is copied and backed up to the slave database end; therefore, the user can copy and backup the database between different devices or between different positions of the same device through the network.

The present disclosure provides a message re-throwing method and device, electronic equipment, storage medium and program product, and relates to the technical field of computers. The present disclosure obtains a first key-value message by traversing an embedded database; the value of the first key-value message includes a delivery message, and the key of the first key-value message includes a first delivery timestamp and a first delivery number; and the first key-value message is delivered to a message middleware according to the first delivery timestamp; in response to a delivery failure, the first delivery number is updated to a second delivery number; the second delivery timestamp is determined according to the second delivery number; the second key-value message is generated according to the second delivery timestamp, the second delivery number and the delivery message; the second key-value message is stored in the embedded database as a new first key-value message, and the first key-value message that fails to be delivered is deleted from the embedded database. The present disclosure can quickly re-throw a message, improve the timeliness of a business, and ensure that the performance of database work is not affected by message delivery failure.

The invention relates to the technical field of data processing, and particularly provides a data synchronization method, system and device based on an embedded database and a medium, and the method comprises the steps: directly obtaining a corresponding log record before writing as a synchronization data source when a transaction change occurs in the database; determining a synchronization priority according to the data type of the log record, and caching and packaging the time series data with the common priority in batches; for the to-be-synchronized data, determining a consistent snapshot based on the log serial number, and constructing a synchronous data unit; sending the information to a cloud; and receiving and executing a data merging instruction issued by the cloud to update local data. According to the invention, high-reliability data synchronization with lower delay, higher network and storage efficiency and zero interference to services is realized on the Internet of Things terminal with limited resources.

The invention belongs to the technical field of network security detection and website content review, and discloses a portable lightweight web hidden link and sensitive vocabulary scanning method and system, and a storage medium. The method comprises the following steps of: inputting a URL (Uniform Resource Locator) to be tested through a command line or a text file and performing protocol completion on a universal computer which is only provided with a Python operating environment, requesting to access a page by utilizing HTTP / HTTPS (Hyper Text Transfer Protocol / Hyper Text Transfer Protocol Secure Socket), extracting a link by adopting an HTML (Hyper Text Markup Language) analysis library, and performing dead link judgment and caching on a response state code and an access exception; a sensitive word library is managed based on an SQLite embedded database, regular matching is carried out on page front-end codes, hidden links or high-risk links are marked, link extraction, dead link detection and sensitive word matching are recursively executed within a preset crawling depth, and finally a Markdown format scanning report is generated. The method does not need an independent server and a heavy-weight database, is suitable for public network and intranet environments, and has the advantages of low dependence, good portability and high scanning efficiency.

This invention provides a spatial planning data quality inspection method, device, and medium based on an embedded database. First, quality inspection configuration information is loaded, and the local data packets to be inspected are imported into an embedded database engine that supports spatial expansion, forming a local temporary quality inspection database. Based on the quality inspection configuration information, internal quality checks are performed on the data in the local temporary quality inspection database using spatial SQL functions. Then, an external consistency check is performed by loading a remote database through an external data connection. Finally, the results of the internal quality check and the external consistency check are structured and saved to the result table of the embedded database. This invention directly accesses local data packets and remote databases through the embedded database engine, and uses SQL spatial functions to implement integrated automatic quality inspection by executing quality inspection operators within the database kernel. This reduces the difficulty of developing quality inspection operators and significantly improves the efficiency and standardization of quality inspection of detailed land spatial planning data.

The invention discloses an index-based question bank data on-demand access method and system. The method comprises the steps that a question bank package is obtained from a file layer storing question bank data in response to a question bank package obtaining request of a client side, and the file layer is a file system of a preset file format, a modern file system supporting transparent compression or a single-file embedded database; and the client locates a target data block from the question bank package as required to obtain a target file. According to the method and the device, the technical problem of low decompression efficiency of a traditional compressed file format in a scene needing efficient random access is solved.

The invention relates to a file management method, device and system and a storage medium. The method comprises the steps that when an operation request of a client for a target file is received, metadata management operation matched with the operation request is executed in an embedded database of a file management system through a metadata manager of the file management system, and metadata of the target file is obtained; the metadata comprises a data reference identifier; analyzing the data reference identifier to obtain a data storage position; the data storage position is used for indicating a storage position of the target file in a target data storage rear end, and the target data storage rear end is one of a plurality of data storage rear ends butted with a storage abstraction layer of the file management system; and executing a file management operation matched with the operation request on the target file based on the data storage position in the target data storage rear end through a storage abstraction layer of the file management system. According to the scheme provided by the invention, the problems of function redundancy and hierarchical redundancy in the related technology can be solved.

The invention relates to a multi-dimensional data query method based on an embedded engine and dynamic aggregation, and the method comprises the steps: integrating the fact data of different databases and the corresponding dimension description data through constructing a data wide table, and forming a single table containing a dimension field and a measurement field; on the basis, different data processing modes are selected according to the analysis result of the multi-dimensional query request input by the user. For the condition that only the basic aggregation task is contained, corresponding processing is directly executed in a target database where the data wide table is located; for the condition containing the complex calculation task, basic aggregation processing is firstly carried out in the target database to obtain basic aggregation data, then an aggregation file corresponding to the basic aggregation data is read through the embedded database engine, and processing operation corresponding to the complex calculation task is executed. Intermediate links of the query process are reduced, the query efficiency is improved, meanwhile, it is ensured that data used for complex calculation has normalization and consistency, and then the query accuracy is improved.

The application provides a data management method and a program product. Binary log files are generated by calculating detailed data, and the binary log files are stored in preset directory storage locations. Data of each binary log file is read from the directory storage locations in sequence, and the read data of the binary log files is stored in a buffer corresponding to the binary log files, and then the binary log file data in the buffer is stored in an embedded database. While improving read-write performance, the application has good scalability and universality.

The application discloses a kind of embedded database transaction concurrency control methods based on Tianmai operating system, the core problem solved is in the limited resource environment faced by Tianmai operating system, how to effectively utilize system resources on the basis of ensuring data consistency, reliability and security, improve system concurrency, so as to guarantee the sustained and stable operation of system.Through the design of the application, the needs of database transaction concurrency control in avionics system based on Tianmai operating system can be effectively met, and the strict requirements of new generation avionics system are adapted.

The disclosure relates to a method of providing a response to a user query. A query is derived from the user query. An embedded query is obtained by passing the query through a first portion of the trained large language model. Semantically related elements are obtained from an embedded database. The embedded database is obtained by embedding an initial database using the first portion of the trained large language model. The semantically related elements are combined with the embedded query to form an enhanced query. A response to the user query is provided by passing the enhanced query through a second portion of the trained large language model.

The invention discloses a method, a device and equipment for quickly compiling and publishing map data. The map data rapid compiling and publishing method comprises the steps of extracting a tile range of a change area according to map data change time input by a user; on the basis of a distributed engine, all the changed tiles in the tile range of the changed area are converted into tile coordinates, and a tile key list is generated according to the tile coordinates of all the changed tiles; splitting the tile key list into a plurality of parallel compiling tasks; for each compiling task, obtaining all element data of each changed tile in the compiling task from the map data set, performing tile generation, obtaining a tile file, and performing distributed intermediate storage; and acquiring tile files corresponding to all compiling tasks from the intermediate storage, inserting each tile file into an embedded database for storing map data according to tile coordinates corresponding to each tile file, generating a map data file, and publishing the map data file.

The application relates to an ECU (Electronic Control Unit) flashing program dynamic generation method and device, and belongs to the technical field of ECU software flashing, wherein the ECU flashing program dynamic generation method comprises the following steps: obtaining the source code of a plurality of function segments corresponding to a vehicle model code and an ECU (Electronic Control Unit) logical address from a local embedded database based on the vehicle model code and the ECU logical address; obtaining ECU flashing program configuration parameters, screening the source code of a plurality of target function segments from the source code of the plurality of function segments corresponding to the vehicle model code and the ECU logical address based on the ECU flashing program configuration parameters; sorting the source code of the plurality of target function segments based on the ECU flashing program configuration parameters, splicing the source code of the plurality of target function segments after the sorting, generating ECU flashing program source code, and compiling the ECU flashing program source code to generate an ECU flashing program. The application effectively improves the flexibility and efficiency of ECU flashing.

The present application relates to the field of computer software development and database technology, in particular to a kind of embedded database programming method, including intent model construction step: scanning source code identifies embedded syntax block, constructs abstract syntax tree and peels off bottom drive, generates drive independent intent model;Logic sequence synthesis step: inject dialect parameter and resource strategy, synthesis execution logic sequence and generate target code;Fingerprint checking step: intercept request in runtime, calculate structure fingerprint and carry out consistency check with benchmark fingerprint;Binding execution step: execute request after checking, establish weak reference life cycle binding of resource object and host variable.The present application eliminates the risk of resource leakage, and enhances the robustness of system under long time running.

The invention provides a session sharing method and device, electronic equipment, a medium and a computer program product, and the method comprises the steps: receiving a first access request sent by a target user through a client node; generating session information based on the first access request; and based on a distributed consistency protocol, storing the session information in an embedded database deployed by each service node in a service cluster to realize session sharing. The database is embedded in the service node, so that dependence on an external system is reduced, distributed storage of session information is realized, the risk of service cluster paralysis caused by single-point failure of the centralized database is avoided, and the reliability and availability of the service cluster are improved.

The invention belongs to the technical field of software testing, and particularly relates to a cross-platform AI test resource arrangement method and system for MCP multi-service collaboration, and the method comprises the steps: obtaining test resource data; based on a three-layer architecture, module collaboration is carried out, resource classified storage and environment association are carried out in combination with a Beter-Sqlite3 embedded database and a JSONL file, resource data are obtained, multi-service interaction is coordinated through an MCP event anti-shake duplicate removal mechanism, and an arrangement rule set is generated; an execution instruction is distributed through an equipment ID three-level propagation mechanism, a preliminary arrangement result is generated in combination with concurrent management and connection multiplexing capability of multi-session AI chat, and a final arrangement state is generated through execution state persistence and hierarchical log verification; and updating the local resource state library, pushing and synchronizing the local resource state library to the rendering layer in real time through the IPC, and triggering a desktop tray notification or log display mechanism. Therefore, the problems of low scheduling efficiency, lack of single-step debugging capability and the like in the prior art are solved.

This invention belongs to the field of software testing technology, specifically relating to a cross-platform AI test resource orchestration method and system based on MCP multi-service collaboration. The method involves: acquiring test resource data; performing module collaboration based on a three-layer architecture, combining a Better-Sqlite3 embedded database and JSONL files for resource classification, storage, and environment association to obtain resource data; coordinating multi-service interactions through an MCP event debouncing and deduplication mechanism to generate an orchestration rule set; distributing execution instructions through a three-level device ID propagation mechanism, and combining the concurrency management and connection reuse capabilities of multi-conversation AI chat to generate preliminary orchestration results; generating the final orchestration state through execution state persistence and layered log verification; updating the local resource state library, and synchronizing it to the rendering layer in real time via IPC push, triggering desktop tray notifications or log display mechanisms. This solves the problems of low scheduling efficiency and lack of single-step debugging capabilities in existing technologies.

The invention discloses a transformer intelligent component cabinet monitoring system based on a PLC communication technology. The transformer intelligent component cabinet monitoring system comprises a data acquisition unit, a parameter analysis unit, a data service unit and a man-machine interaction unit. The data acquisition unit is used for monitoring the transformer in real time and acquiring parameters of the corresponding transformer in different states; the parameter analysis unit is used for comprehensively processing parameters and determining a monitoring state; the data service unit is connected with the data acquisition unit and the parameter analysis unit, comprises a server and an embedded database, and is used for storing and managing data; and the interaction unit is connected with the data acquisition unit and the data service unit and is used for displaying the monitoring state and interaction operation. According to the invention, the transformer is monitored in real time through multi-dimensional data, and accurate control of the power transformer is realized.

An integrated monitoring framework for performing information sharing and problem solving according to the present disclosure may operate in a client and server application layers and may comprise a library including a registration API, a request API, and connection management, and a service including a service manager, queue management, a worker pool, an embedded DB, and a toolbox. Here, on the basis of the interaction between the library and the service, the overall network status of the client and server application layers and the overall information of the system may be monitored in real time, and standardized information may be provided through a unified API.

This application relates to a multidimensional data query method based on an embedded engine and dynamic aggregation. It integrates factual data and their corresponding dimensional description data from different databases into a single table containing dimension and measure fields by constructing a wide data table. Based on this, different data processing methods are selected according to the parsing results of the user's multidimensional query request. For cases involving only basic aggregation tasks, the corresponding processing is performed directly in the target database containing the wide data table. For cases involving complex computational tasks, basic aggregation processing is first performed in the target database to obtain basic aggregated data. Then, the embedded database engine reads the aggregation file corresponding to the basic aggregated data and performs the processing operations corresponding to the complex computational tasks. This reduces intermediate steps in the query process, improves query efficiency, and ensures the standardization and consistency of the data used in complex calculations, thereby improving query accuracy.

The application discloses a kind of dynamic management method, device and storage medium of power secondary equipment recording wave file, belong to the secondary equipment operation and maintenance technical field of power system.The method comprises: the structured metadata of recording wave file is stored in embedded database;According to the comprehensive value score of structured metadata calculation recording wave file;Wherein, the comprehensive value score is based on the basic weight corresponding to the recording wave type and the influence weight corresponding to each type of recording wave value influence factor Assignment obtains, and according to recording wave file generation time length carries out dynamic attenuation;The number of recording wave file in structured metadata is checked for compliance, if it is not in compliance, according to comprehensive value score obtains the list of recording wave file to be deleted;According to the list of recording wave file to be deleted, according to the preset deletion transaction mechanism, delete low-value recording wave file, and update the recording wave file metadata record in embedded database, realize the efficient dynamic fine management of the whole life cycle of recording wave file.

This invention belongs to the field of data indexing, and particularly relates to a method and system for constructing formatted documents, and a method and system for text search. The method includes: recording each keyword and the text object containing each keyword to construct an index data table; constructing a page index table using the text object containing each keyword and the page number of each text object; recording document verification information, index data generation time, and word segmentation method parameters when the formatted document is indexed as an index parameter table; and embedding an embedded database consisting of the index data table, index parameter table, and page index table as a document attachment into the formatted document to construct the formatted document. By utilizing a local embedded database combined with a full-text search engine, rapid keyword search within the formatted document is achieved. Its search speed is orders of magnitude faster than traditional linear text matching methods, and full-text retrieval functionality can be easily implemented in offline scenarios.