481 results about "Database access" patented technology

The invention provides a Dores front-end node-based service proxy method and system, and relates to the technical field of database access request processing, and the method comprises the steps: collecting front-end node performance indexes, extracting node performance characteristics through employing multi-head recursive attention and causal convolution solution, extracting inter-node correlation characteristics through combining graph attention convolution, and obtaining a database access request; the method comprises the following steps: constructing a node state vector, optimizing a multi-layer connection pool parameter by utilizing an online learning algorithm, establishing a node incidence matrix based on comparative learning, constructing a node performance probability graph evolution model through variational reasoning and Monte Carlo sampling, predicting a node performance change trend, and receiving a database access request; and generating a query plan by adopting an edge attention message passing mechanism, carrying out resource evaluation in combination with performance trend prediction, carrying out scheduling decision making by utilizing multi-agent reinforcement learning and Monte Carlo tree search, carrying out fault detection and migration according to node performance deviation, and updating a probability graph evolution model.

Systems and methods for generating communications based on user account activity data are described herein. For example, the system may obtain an input activity log and generate an activity log transformation. The system may input the activity log transformation into a vector encoding model to obtain a first output vector encoding. The system may input the first output vector encoding into a contrastive machine learning model to obtain a first matching vector encoding. The system may access a first plurality of vector encodings from a communication database. Based on comparing each vector encoding in the first plurality of vector encodings with the first matching vector encoding, the system may generate the matching communication.

Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method for using a machine learning model to provide data corresponding to a query comprises receiving a query for data stored in one or more databases. A prompt file is determined for the query. The prompt file and the query are provided as input for a machine learning model configured to generate a prediction for the query. Training the machine learning model can include updating network parameters in the machine learning model based on the prompt file. The prediction generated for the query is received. The prediction comprises a predicted database query corresponding to the query, and a level of accuracy is determined for the predicted database query.

Secure access to a database is facilitated by an LLM. A natural language (NL) query is received and passed to an LLM in a prompt along with all or part of a commands for accessing a database without passing the data stored in the database. The prompt may further include instructions to generate one or more commands to access the database to retrieve data responsive to the query. The instructions may instruct the generation of a URL to access relevant data. Data responsive to the command may be embedded in a document presented to a user. The document may be selected by the LLM in response to a second prompt. The command is executed with respect to the database only upon validating access of a user to the data referenced by the command.

Provided herein is a process that converts unprotected data into protected data based on permissions defined using logical operators. As such, user permissions can be managed with a simple string of data. In one example, the method may include receiving a request for data from a user device, identifying a permission object corresponding to the user device, retrieving a string comprising a logical expression with a logical operator and one or more values from the permission object, wherein the logical expression defines access permissions of the user device with respect to a database, executing a database query on the database based on the request to generate results, and filtering the results from the database query based on the logical expression to generate filtered results and outputting the filtered results to the user device.

The invention provides a data storage method and device.The method comprises the steps that identification information corresponding to service data to be stored is determined; determining a storage level of the business data based on the identification information; and storing the business data in a database according to the storage hierarchy. According to the embodiment, hierarchical storage of the data can be realized, the data storage cost is reduced, and the database access performance is improved.

A method and system for verifying a structured query language (SQL) query are provided. The method includes: receiving a first request to retrieve first data that is accessible via a database; identifying an intention of the first request; generating, based on the first request, a first SQL query to retrieve the first data from the database; predicting, based on the generated first SQL query, an output of the generated first SQL query; determining whether the predicted output matches the identified intention of the first request; generating, based on the determining of whether the predicted output matches the identified intention of the first request, a second SQL query to retrieve the first data that is accessible via the database, when the predicted output of the first SQL query does not match the identified intention of the first request.

A database query processing method includes receiving a natural language request for information contained within a database from a user in an application session, prompting a large language model to generate a SQL request, and receiving a particular SQL request from the large language model that is parsed to identify a command to access one or more database structures. A security predicate is appended to the command, creating a modified SQL request, to enforce one or more database access constraints constraining a user-authenticated client device that submitted the request that is not enforced in a database session between the application and a database. The modified SQL request is used to access data in the database session, and a visualization of the accessed data is caused to be displayed in the application session.

According to the database cache management method and system based on deep learning provided by the invention, the situation of cache miss is effectively reduced by predicting and loading data which is possibly accessed in the future into the cache in advance. In the model training process, various characteristics of data are fully considered, such as time characteristics, historical access frequency characteristics and relevance characteristics between tables, so that the prediction accuracy is improved. An improved long short-term memory (LSTM) network is adopted, and associated information between database tables is introduced, so that the prediction of a data access mode is more accurate, and the cache hit rate and the system response speed are remarkably improved. Through intelligent analysis and efficient prediction, resource utilization is optimized, access delay is reduced, the overall system performance is improved, and a more intelligent cache management strategy is provided for a complex and changeable database access mode.

The invention relates to the field of database reading, and particularly discloses an efficient database reading method based on multi-level cache optimization and dynamic index fragment.The efficient database reading method comprises the steps that high-frequency query data is accurately recognized through a sliding window algorithm, a dynamic cache loading and preheating strategy is implemented, query delay is effectively shortened, and the database burden is relieved; intelligent distribution of index fragments is realized by applying a consistent Hash algorithm, and the query efficiency is greatly improved in cooperation with distributed query routing and transaction processing optimization; the query load balancing ensures stable and efficient operation of the system in a high-concurrency scene by means of weighted polling and a minimum connection strategy in combination with real-time monitoring and an elastic capacity expansion and contraction mechanism. According to the method, the database access efficiency and the dynamic adaptive capacity are remarkably improved, and the method is particularly suitable for a large-scale distributed data processing environment.

The invention relates to a battery database access system and method based on Dify and a large model question and answer mechanism, and the system comprises a front end interaction module which is responsible for carrying out information interaction with a user, receiving a natural language question of the user, and transmitting the question to a rear end for processing; the Dify agent management module is responsible for task distribution and user intention recognition; the Prompt generation and scheduling module is responsible for converting the user problem into a query request which can be understood and processed by the system; the database interface module is responsible for being connected with a new energy battery database; the large model generation module is used for generating natural language answers of the user questions through a large language model; and the context management module is responsible for storing and managing context information in multiple rounds of conversations. A user can intelligently interact with the new energy battery database through a natural language, and can easily and efficiently access information in the real-time database.

The invention provides a database access method based on an end-side cloud system and related equipment. The method comprises the following steps: constructing the end-side cloud system of a terminal, an edge gateway and a cloud server; deploying an enterprise metadata knowledge base, an AI model and an enterprise database in the end-side cloud system based on customer requirements; receiving a demand prompt word input by a user through an intelligent agent in the terminal; a routing strategy is obtained through an intelligent agent based on deployment situations of an enterprise metadata knowledge base, an AI model and an enterprise database and by taking local gateway processing priority as a criterion; and based on the routing processing strategy, the edge gateway and the cloud server carry out programmed processing on the demand cue word. According to the database access method, the AI model is used for code generation, the development difficulty is reduced, the enterprise metadata knowledge base, the AI model and the enterprise database are flexibly deployed based on customer requirements, the terminal intelligent agent can flexibly route, and the database access method has better adaptability and can better meet the enterprise requirements.

The invention discloses an RDMA Chain-based LSM Tree key value type database access method. The method comprises the following steps: a database client sends a request containing a version number, a key and an operation type to a database server main node; the server main node analyzes the request and processes the request according to the operation type; during write operation, a new serial number is generated, and data is inserted into a skip list of a memory table MemTable; when reading operation is carried out and the version number is smaller than 0, whether a key exists or not is checked through a Bloom filter, if yes, query is carried out at a secondary node through the RDMA technology, and if not, an SSTable file in a disk is directly accessed; and when the reading operation is performed and the version number is greater than or equal to 0, preferentially searching the data of the corresponding version in the MemTable, and if the data of the corresponding version fails, querying the SSTable. Through the RDMA technology, CPU occupation and network round-trip time are reduced, and the response speed and concurrent processing capacity of the system are improved.

The invention discloses a database access parameter real-time cooperative processing method and device based on multi-level cache, and belongs to the technical field of computer data caching. The method comprises the steps that a version number management table is configured; establishing a four-level cache architecture of a transaction-level cache layer, a process-level cache layer, a distributed cache layer and a database cache layer; receiving a transaction request, creating a transaction level cache layer and loading current version number information; comparing the version number in the transaction level cache layer with the version number in the process level cache layer; according to the version number comparison result, obtaining parameter data from the corresponding cache level according to a preset cache access priority strategy; and when the parameter change is detected, updating the corresponding version number in the version number management table, and updating the cache layer data as required. According to the method, real-time global effectiveness of parameter change is realized, parameter consistency of in-transit transaction is guaranteed, system processing performance and throughput are improved, system reliability and fault-tolerant capability are enhanced, and system resource utilization rate is optimized.

Embodiments of the present disclosure relate to user interfaces and systems that may enable dynamic and interactive access of, investigation of, and analysis of data objects stored in one or more databases. The data objects may be accessed from the one or more databases, and presented in multiple related portions of a display. In particular, the system provides a time-based visualization of data objects (and / or properties associated with the data objects) to a user such that the user may, for example, determine connections between various data objects, observe flows of information among data objects, and / or investigate related data objects.

The invention relates to the technical field of database data access, and particularly discloses a data access method and system based on multi-dimensional data analysis and a storable storage.The method comprises the steps that S1, after a user accesses a database, a management recommendation module automatically allocates a tourist ID to the user, and an acquisition module acquires user information of different dimensions generated in the database access process of the tourist ID and sends the user information to the management recommendation module; the management recommendation module provides personalized content recommendation for the tourist ID; s2, the tourist ID logs in an account in the process of accessing the database, an acquisition module acquires user information of different dimensions of the account, and a management recommendation module judges whether a corresponding account permission is granted or not and provides personalized content recommendation for the user; according to the invention, the management recommendation module analyzes according to the multi-dimensional information collected by the collection module, and provides corresponding personalized content recommendation information for the user accessing the database, so as to achieve the purpose of further improving the search performance, accuracy and user experience of the user.

The present invention provides a photovoltaic operation and maintenance AI assistant system and application method based on a deep learning large model, which relates to the technical field of photovoltaic power stations, including obtaining text, pictures, voice information and questions input by users, as well as historical operation and maintenance data. Using a multimodal fusion model, these information are integrated to extract features, and are divided into four types of data: training, access, analysis and reporting through semantic classification technology. Furthermore, these classified data are input into a comprehensive data processing model together with historical data. The model integrates functions such as pre-training, database access, big data analysis and report generation to process and generate detailed operation and maintenance reports. Finally, the information is summarized through a natural language processing model to form comprehensive information, which is sent to the user device to guide operation and maintenance decisions. The present invention optimizes the operation and maintenance management process of photovoltaic power stations through intelligent processing.

The embodiment of the invention relates to the technical field of computer security, provides an SQL statement analysis method, device and equipment based on database transparent encryption, and is used for improving the accuracy and efficiency of database access. According to the method, aiming at a simple-class target SQL statement, an encrypted column field is quickly and accurately obtained through field analysis, and transparent encryption is carried out on the encrypted column field; aiming at the complex target SQL statement, an encryption and decryption strategy is pre-configured, the encryption and decryption strategy is in a key-value pair form, a key comprises a database name and a data table name, and a value comprises a column name and a secret key of a data table, so that an encryption column field and a corresponding secret key can be quickly and accurately obtained through the encryption and decryption strategy, and the encryption and decryption efficiency is improved. Therefore, the analysis time of the complex SQL statement is shortened, the analysis accuracy is improved, and after the target SQL statement is executed, the decryption column field in the database query result is decrypted, so that high-efficiency and accurate access to the database is realized.

The embodiment of the invention relates to a database access system of a compound database. The system comprises a database service gateway, a request message queue, a feedback message queue, a message processing module, a cache message queue, a database management module, a user permission configuration table, an operation approval configuration table and the compound database, the database service gateway is respectively connected with the request message queue and the feedback message queue; the message processing module is respectively connected with the request message queue, the feedback message queue and the cache message queue; and the database management module is respectively connected with the cache message queue, the user permission configuration table, the operation approval configuration table and the compound database. Through the method, the waste rate of storage resources can be reduced, and the overall task processing performance of the database is improved.

The invention discloses mixed analysis middleware based on a cross-type database and a query method. The mixed analysis middleware comprises a data source management module, a non-relational database object mapping module, a multi-tenant authorization management module, a context-independent grammar construction prediction analysis table, an expansion BNF elimination left recursion module and a distributed transaction control module. Through the middleware, the requirement that an application system needs to use data in a cross-database mode in the petroleum industry is met. Cross-database query of relational and non-relational databases is realized, database access and service modes are unified, large application systems and platforms containing various types of data storage products are supported, the development efficiency of the application systems is greatly improved, and the learning threshold of research and development personnel is reduced. Meanwhile, through the provided multi-tenant and authorization management, monitoring and review of data row-level security can be realized, sensitive data are effectively protected, and data leakage is prevented.

Compact hosting of database query processors is performed using virtualization snapshots. When a request to access a database is received via a previously established connection from a client for an idle query processor that is not currently executing, a virtualization snapshot may be identified that is associated with the idle query processor. The virtualization snapshot of the query processor may be used to restore the query processor into virtual execution on a host system for the database using an origin snapshot that shares clean pages across multiple query processors on the host system. The request may be performed by the restored query processor in virtual execution on the host system.

The invention relates to the technical field of data processing, and particularly provides a data format conversion method, system and device and a storage medium, and the method comprises the steps: reading and storing content data in a target document by using a third-party library; acquiring database connection information and a field mapping rule; splicing the content data into a structured statement which can be identified by the database based on a field mapping rule; establishing communication connection with the database by utilizing database connection information, and storing the structured statement to the database; and accessing the database, and querying the structured statement to verify the storage validity of the structured statement. According to the invention, automatic conversion of document formats is realized, and the method has high flexibility and accuracy.

Record-level transaction conflicts may be detected at storage nodes of a database back-end storage service. When a prepare statement is received, a storage node can determine whether another prepare statement acting on at least one of the same records has succeeded. If so, then the storage node can indicate to the database access application that there is a conflict, allowing the database access application to wait to try again or abort the transaction.

The embodiment of the invention provides a database access management method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring database configuration information, wherein the database configuration information comprises a mapping relationship between each business data source and each piece of sub-table information of a database; a persistent object interface is obtained, the persistent object interface is analyzed, an SQL execution statement of the access operation is obtained, the persistent object interface is pre-configured to execute the access operation for the database based on the request of the business object, and the access operation comprises one of data addition, data deletion, data modification and data query in the database; querying a business data source corresponding to the table division information from the database configuration information based on the table division information in the SQL execution statement; and routing the business data source to the target database. Therefore, sub-library storage of the business data is realized, coupling complexity and invasiveness of codes are reduced, and lightweight operation of sub-library processing of the business data is realized.

The invention provides a database access method and device and electronic equipment, and relates to the technical field of data processing. The database access method comprises the following steps: acquiring access constraint information of different database users in respective registered databases, and generating a database access configuration table according to the access constraint information; calling a configuration main program, and reading the access configuration table by the main program to determine a configuration task set of various databases; starting a plurality of threads, and scheduling a configuration task set to the plurality of threads to generate at least one access model of each database; obtaining a database access request sent by the terminal equipment, determining a pre-accessed target database according to the access request, and determining a target access model matched with a target database user; and performing access control on the target database based on the target access model to obtain an access result of the access request, thereby realizing flexible database access control.

An enrollment data management system includes one or more processors and memory storing instructions executable by the one or more processors to cause the one or more processors to receive sensor data from one or more sensors located at a property, wherein the sensor data indicates a plurality of individual detection events that each indicate presence of an individual at the property. The instructions are executable by the one or more processors to cause the one or more processors to analyze the sensor data to determine that the property qualifies as a residence of the individual, access information relevant to the property from one or more databases, utilize the information relevant to the property as enrollment information for an enrollment process for the individual.

A medical imaging system includes a workstation and software configured for accessing medical image data from a database and generating one of more of 1D, 2D, 3D and 4D representations of the medical image data on one or more virtual reality imaging devices, where the virtual display is manipulatable by a user through a user interface associated with the virtual reality imaging device.

The invention discloses an AI security monitoring method and system based on database access analysis. The method comprises the following steps: acquiring an access request of a target user to a target database; based on a neural network model, predicting a key concerned field in the access request; according to a plurality of historical access records related to the target database, analyzing a field risk corresponding to the key concerned field; and determining an access strategy when the target user accesses the target database according to the field risk. It can be seen that accurate database access control based on the key concern field and risk assessment can be achieved, the safety and access efficiency of the target database are improved, and the access vulnerability risk caused by the risk field is reduced.

The invention provides a database access method and device, electronic equipment and a storage medium, and can be applied to the technical field of database testing. The database access method comprises the steps that access request information and user information of a user for a to-be-accessed database are acquired, the access request information comprises access time and a geographic position, and the user information comprises a user role and an access frequency of the user; inputting the user role and the access time into a trained grade prediction classification model to obtain a first risk grade of the user; inputting the geographic position and the access frequency into a trained full-connection neural network model to obtain a second risk level of the user; comparing the actual distance between the geographic position and the change of the geographic position when the user logs in last time with the preset change distance of the manually reachable geographic position, and obtaining a third risk level of the user according to a comparison result; and determining a database access control mode of the user according to the first risk level, the second risk level and the third risk level.

The invention discloses a high-precision high-speed rail switch cabinet digital online supervision system, and relates to the field of switch cabinet supervision, and the system comprises a switch cabinet online monitoring system which is electrically connected with a display terminal, a cloud platform, a data center, an expert system, PC terminal software, a mobile terminal APP, an industrial control computer, and an intelligent gateway. The high-precision digital online monitoring system for the high-speed rail switch cabinet can give an alarm in real time, increase, modify and delete basic information of a user, can define, increase, delete and modify various parameters and monitoring points by a user, and can automatically monitor communication related parameter patrol period, re-mining times, database access parameter information, monitoring frequency, monitoring time and the like. The data refreshing time and the like are self-defined, and a user defines and sets a terminal interface and a communication protocol, so that the rail transit safety operation can be effectively improved, the operation and maintenance cost is reduced, and the operation and maintenance efficiency is improved.