56 results about "Database application" patented technology

The invention discloses a multi-feature fusion binary code similarity detection method based on a large language model, and belongs to the technical field of information security. Compared with a conventional detection method which only depends on a single feature, the method has the advantages that fine grammar and global structure information of a function can be bidirectionally captured by utilizing a large language model which is finely adjusted by prompt word engineering and a GraphCNN graph convolutional neural network, so that the comprehensiveness and accuracy of feature expression are greatly improved; meanwhile, a hierarchical Navigation Small World Graphs (HNSW) algorithm is applied to efficiently retrieve candidate similar functions in an offline vector library, so that the method is suitable for large-scale database application; and finally, through fine comparison of the Siamese network, similarity detection with higher accuracy is realized under the condition of low cost. According to the method, through multi-dimensional fusion of semantics and structure information, the accuracy and efficiency of similarity detection are remarkably improved, and a more accurate and robust solution on the basis of low cost is provided for binary code similarity detection.

A computing system is provided, including non-volatile storage storing a reactive database including a plurality of database entities. The computing system may further include a processor configured to, via a reactive database application program interface (API), receive a first standing query registration input including a first standing query. The first standing query may include a first update condition and may be associated with a first database entity. The processor may be further configured to store the first standing query in the non-volatile storage. The processor may be further configured to write data to the reactive database and determine that the first update condition is satisfied by the written data. In response to determining that the first update condition is satisfied, the processor may be further configured to execute the first standing query to perform a first state change at the first database entity of the plurality of database entities.

The invention provides a data processing method and related equipment, and relates to the field of database application, the method comprises the following steps: when a write request of target data is received, a storage space is applied for the target data, the storage space comprises at least one range, and the range comprises a data page and a verification page; the verification information of the first range is written into a verification page corresponding to the first range, the verification information of the first range is the verification information obtained through calculation when the target data is written into a data page corresponding to the first range, the verification information is used for conducting redundancy verification, and the first range is any range in the at least one range; and writing the first range into persistent storage. Whether the data is damaged or not can be detected by using the verification information, so that the reliability of data storage is improved, and the risk of data damage caused by a silent error and the like is reduced; and meanwhile, the problem of write amplification is reduced, the storage space occupied by configuration of additional copies is reduced, and the storage overhead and the data reliability can be effectively balanced.

The invention provides a multi-database dialect fused language specification, a multi-database dialect fused language conversion method and a multi-database dialect fused language conversion system, and relates to the technical field of databases. A user inputs a unified SQL statement and selects the type of a target database, lexical analysis and grammatical analysis are performed on the unified SQL statement, an abstract syntax tree is constructed, semantic analysis is performed, dialect characteristics in the unified SQL statement are identified, the support condition of the dialect characteristics in the target database is verified, and a dialect conversion strategy is provided. And selecting a corresponding conversion rule in the unified SQL specification library, converting the grammar of the unified SQL statement into the dialect grammar of the target database, and generating the SQL statement. According to the method, one set of SQL and multi-database support is realized through unified SQL specification formulation, intelligent dialect adaptation and configuration driving, a complete technical solution is provided for cross-database application development, and technical challenges caused by database dialect differences are solved.

The invention provides a method and system for testing and evaluating the adaptation degree of domestic hardware of a power grid system, and the method specifically comprises the following steps: S1, obtaining the basic information of system hardware, and obtaining a system hardware performance index, a system application performance index and a system application stability performance index through an automatic test; the system application performance indexes comprise performance indexes of eight types of applications and database applications in the power grid system; s2, calculating a system hardware performance score, a system application performance score and a system application stability score according to the system hardware basic information collected in S1 and each performance index, and obtaining a comprehensive performance score; and S3, generating an adaptation degree test report of the power grid system to the current hardware based on each performance index and each score. According to the method, the whole process from hardware basic parameter collection to high-load testing and stability and functional evaluation is covered, and comprehensive testing and evaluation of the adaptation degree of domestic hardware in specific platforms such as a power grid system are achieved.

Techniques are disclosed that pertain to upgrading a database application. A computer system may determine to upgrade a database application from a current version associated with a first instance of a database catalog that defines the structure of a database that is managed by that database application. The first instance is associated with a first catalog signature that is indicative of the first instance of the database catalog. The computer system generates a second catalog signature that is indicative of a second instance of the database catalog that is associated with the different version. The computer system compares the first catalog signature and the second catalog signature to determine whether the database catalog changes between the current and different versions. Based on the comparing, the computer system then selects one of multiple upgrade processes performable to upgrade the database application to the different version and performs the selected upgrade process.

The application relates to a primary key generation method and an electronic device, and belongs to the technical field of databases. The method comprises the following steps: when storage processing is performed, a first identification sequence is generated based on current system timestamp information processing; a second identification sequence is generated based on creation date information processing of obtained to-be-stored data records; and splicing processing is performed based on the first identification sequence and the second identification sequence, and a third identification sequence obtained through the processing is taken as a primary key of the to-be-stored data records. According to the technical scheme, the generated primary key contains timestamp information and creation date information of the data records. The primary key generated in this way can guarantee the global uniqueness and global monotonicity of the primary key, and can extract sharding information for table sharding according to dates from the primary key, so that in a database application scenario of time storage and table sharding, the sharding table can be accurately positioned when the primary key is queried.

The application discloses a kind of API gateway application access authorization and management method across resource pool, the method includes the following steps: S1: when creating application, controller is configured to be stored to nationwide area database Application, as global configuration center;S2: authorization process;S3: cancel authorization process;S4: user calls API application scene;A kind of API gateway application access authorization and management system across resource pool, the system is applicable to any one of the above method, and system includes: one: the application configuration storage module based on database implementation across resource pool;Two: application configuration adaptation module;Three: authentication authorization management module based on plug-in;Four: API calling SDK.The application improves efficiency and performance, reduces resource overhead, flexibly controls consumer configuration using consumer-restriction plug-in, but does not affect the dependence of other APIs on consumers, is simple and easy to use, improves the security capability and application scene of gateway.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating trace log messages. A database server may include an agent or other feature to monitor and track performance of the database server to generate the trace log messages. The agent can use one or more identifiers associated with the database commands to generate the trace log messages. In particular, the agent can obtain such identifiers as part of the context data that is associated with a session established between a client application and the database server.

Methods and systems for managing database data stored in a storage array and on behalf of a data processing system hosting a database application are disclosed. The database data may be managed by checking for changes in records of the database data. A record of the records may be checked for the changes by comparing a first checksum, hash, and / or cryptographic string from the record to a second first checksum, hash, and / or cryptographic string computed by a data processing system. If the first checksum matches the second checksum, then the record may be validated. Validating a record of the records by checking the changes in the records, rather than all the records, of the database data may permit computing resources to be available for use in other computer implemented services.

The application relates to the technical field of data processing and database application, and discloses a data import method and device for data verification combined with database rules, which comprises the following steps: establishing the connection of a to-be-imported data source and a target database, obtaining metadata information and a plurality of database constraint rules; performing format standardization and invalid data cleaning on the extracted to-be-imported data; carrying out multi-dimensional verification based on the database rules, distinguishing the passed and unpassed data and marking the rule violation types; batch importing the qualified data into the target database, generating a detailed verification report for the unqualified data to feed back to the user, and supporting the correction of the data for reprocessing. In the application, full-dimensional verification is realized through deep linkage of database native rules, the data integrity and import efficiency are guaranteed through standardized preprocessing, batch import and transaction mechanism, the maintenance cost is reduced through accurate feedback and closed-loop processing, the application is suitable for a plurality of databases and data sources, and the accuracy, reliability and convenience of data import are greatly improved.

The invention discloses a data processing method, device and system, a storage medium and a product. The method comprises the following steps: in response to a first instruction for opening a transaction, opening a transaction related to an execution operation of the relational database; wherein the transaction has an annotation used for identifying a transaction management method or starting execution operation based on a transaction template; monitoring a message event, and if it is determined that the message event belongs to a transaction and has a retry call annotation, packaging a message entity corresponding to the message event and storing the message entity to a retry message table; and after determining that a second instruction for indicating to submit the transaction is received, executing a write-in operation of the non-relational database based on the retry message table. After the execution operation of the relational database is successfully executed, the write-in operation of the non-relational database is executed based on the retry message table, so that the data consistency between the relational database and the non-relational database is ensured, and the stability and reliability of a database application system are improved.

The invention is applicable to the technical field of medical instrument data management, and provides a third-party platform medical instrument data management method, which comprises the following steps: data acquisition: in an official organization, acquiring a medical instrument unique identifier standard database in an xml format according to a published data interface; data conversion: converting the xml data into medical instrument database data according to a rule; data cleaning; updating the data; the database application comprises automatic auditing and auxiliary manual auditing. Data distribution is realized through intelligent matching, so that the product data auditing workload is greatly reduced; a shunting algorithm can be evolved, a final processing result of manual auditing shunting is used as a training set, shunting is more accurate, the manual auditing amount is less and less, and the working efficiency is continuously improved; and manual auditing is assisted to improve efficiency.

A tree database includes nodes organized as one or more tree data structures. The nodes contain both function and data properties in the form of script files in an interpreter environment. The database is event-driven. Responsive to an event, a node can spawn a new child node in the tree, which contains a data item associated with the event, enabling the tree database to grow as events and data arrive. Query events, initialization, and purging are also supported. Example applications of a communication appliance, an educational quiz, and a music database are provided.

A method and system for restoring a digital backup of a database application hosted on a virtual machine are presented. The method includes generating a bootable volume on a new virtual machine, wherein the new virtual machine is different than the virtual machine hosting the database application; importing data from a plurality of files into the bootable volume, wherein the plurality of files are included in a data backup of the digital backup, and wherein each file of the plurality of files is in a column-oriented storage format; and restoring a virtualization backup included in the digital backup into the bootable volume.

A computer system may determine to perform an upgrade operation to deploy a second database application that is a different version than a first database application associated with a first database catalog that stores catalog objects. The computer system performs the upgrade operation, including preparing a second database catalog and deploying the second database application to manage a database based on the second database catalog. To prepare the second database catalog, the computer system may create the second database catalog and store, in the second database catalog, system catalog objects that are associated with the second database application. The computer system may further identify, from the catalog objects stored in the first database catalog, user catalog objects that were created by users of the database and then copy the identified user catalog objects from the first database catalog to the second database catalog.

The invention provides a standby database data delay detection method and device, and relates to the technical field of databases, the method is implemented by a standby database application, and the method comprises the steps that heartbeat time in a standby database heartbeat table is inquired, and the heartbeat time in the standby database heartbeat table is obtained from a main database heartbeat table in an asynchronous replication mode; judging whether the delay between the heartbeat time and the current database time is lower than a preset threshold value or not; in response to the condition that the delay is lower than a preset threshold value, normally processing the application service; and blocking the processing of the application service in response to the fact that the delay is higher than a preset threshold value. According to the method, the illusion of no delay cannot be generated, and meanwhile, compared with the prior art, the condition of faults of the main and standby libraries is also included, so that the reliability is higher. Besides, the method is only related to synchronization of heartbeat time, so that service logic does not need to be sensed, and the method is a universal scheme and is low in implementation cost.

1. Name of the product of this design: Graphical user interface for display of database medical images of electronic equipment. 2. Purpose of the product of this design: an electronic device. 3. The key design point of this appearance design product lies in the graphical user interface. 4. The picture or photo that best illustrates the design points: Interface change state diagram 2. 5. Other views are of conventional design and are omitted. 6. Purpose of the graphical user interface: The interface of this design product is a graphical user interface used to display database crystal formula information for calculating artificial lenses and astigmatic lenses. 7. Human-computer interaction mode of the graphical user interface: The main view is the homepage interface after the user logs in; in the main view, double-click anywhere in the patient scan data area such as "Eyeball Status" in the information bar on the right side of the interface, and the interface will jump to the structure display interface and enter the interface change state diagram 1; in the interface change state diagram 1, click the "IOL Crystal Calculation" button in the menu bar on the left side of the interface, and the interface will jump to the IOL database application interface and enter the interface change state diagram 2; in the interface change state diagram 2, click the "IOL Database" button on the top of the interface to enter the interface change state diagram 3; in the interface change state diagram 3, click the "Crystal Formula" button in the middle of the interface to enter the interface change state diagram 4; in the interface change state diagram 4, click the "Toric" button in the interface crystal type list. SN6AT(2‑9)123” button to enter interface change state diagram 5; in interface change state diagram 5, click the “Add” button on the right side of the “Cylinder Calculation Formula” edit bar in the interface to enter interface change state diagram 6; in interface change state diagram 6, click the “Data Migration” button at the bottom of the interface to enter interface change state diagram 7; in interface change state diagram 7, after completing data migration, close the “IOL Database Dialog Box” to enter interface change state diagram 8; ×××× in the interface represents text and / or numbers and / or letters and / or symbols; the color block area in the interface is variable content and does not belong to the appearance design points of this appearance design product.

Example embodiments facilitate efficient comparison operations of tree structures, resulting in comparison metrics (e.g., similarity or distance metrics or scores) used enhance software systems, such as search algorithms, code optimization software, enterprise database applications, and so on. Trees to be compared are converted into sets, i.e., serialized using a novel enumeration method. Metric functions can then be efficiently applied to the sets to facilitate the comparison operations. In an illustrative embodiment, subtrees of larger trees can be compared individually, pairwise, where the comparison results of the subtree comparisons can be selectively weighted and summed to yield an aggregated comparison metric that is tailored for a specific application or comparison priority.

A database manager is disclosed that retrieves database records having binary encoded data from a database and instantiating objects in an in-memory database. Binary encoding compresses data, allowing many subrecords to be stored a single blob field of a database record. Retrieving chunks from storage reduces transfer time by reducing the size of data and the number of operations needed to retrieve all the subrecords.The database manager receives database access requests from a database application. Changes made to the database objects and committed by the application are written back to the persistent database as versioned delta records. In a subsequent session, loading the database from storage includes first loading the most recent snapshot record, then applying changes to the data stored in delta records. The changes stored in the delta records are applied to the data in the snapshot record in the order in which they were made.

Techniques for enabling cursor-based navigation of query results for any set of database records are described herein. One or more embodiments provide a generic find function for database applications, particularly, to facilitate cursor-based pagination of any query results. The generic find function returns, to the application, both a cursor object that points to a set of query results and a token for tracking the cursor's position while the application user navigates the query results. Specifically, the generic find function is part of an application framework that accepts, as input, a search parameter from an application user and identifies an appropriate pre-defined filter and a set of database-agnostic query parameters that map to the search parameter. The appropriate pre-defined filter may include a matching filter field value. The database application then calls the generic find function to build a query using the pre-defined filter and the set of query parameters.

A system and method for the device may include accessing a database application hosted on a virtual machine, the virtual machine deployed in a computing environment. In addition, the device may include exporting data stored in the database application to a plurality of files, each file utilizing a column-oriented storage format; generating a virtualization backup only of the virtual machine; and generating a data backup of the database application based on the plurality of files.

The application discloses a database application log level modification method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a first instruction; calling a first program according to the first instruction; and modifying a first log level according to the first program. The method can modify the log level of the first log through the first program, acquire detailed log information without affecting the running of the application program, and thus confirm the running of the application program.

The invention discloses a data processing method and system for database query and related equipment, relates to the technical field of data processing of database query, and aims at limiting the amount of data returned by a database driving layer through a double-layer guarantee mechanism and controlling the number of result sets in a result set processing link of a database application layer. The problem that some drives, such as Statement.setMaxRows drive, do not take effect is prevented. The number of the result sets is controlled in the database application layer result set processing link through the double-layer guarantee mechanism to obtain the first piece of data of the result sets, network transmission can be reduced, performance can be improved, cross-database compatibility can be ensured, and therefore in the SQL query process through JdbcClient query data, the query efficiency can be improved. And the stability, compatibility and stability of the system are improved.

The invention provides a database partition management method, device and equipment, and relates to the technical field of databases. The method can be applied to a database application system corresponding to a database, the database application system is in communication connection with a database state management system corresponding to the database, and the database state management system is used for storing and maintaining a fault isolation strategy corresponding to each database sub-database. The method comprises the steps that when a data storage request is received, a preset storage operation is executed, and the storage operation is used for storing to-be-stored data into a target database sub-database; detecting whether abnormal information is generated in the execution process of the storage operation; and if yes, obtaining a fault isolation strategy corresponding to the target database sub-library, and determining the state of the target database sub-library according to the generated abnormal information and the fault isolation strategy. The technical problem that a database application system cannot quickly adjust a fault isolation strategy can be solved.

The application discloses a data query method and device, the method is executed by a database application server, wherein the method comprises the following steps: receiving a data query request through a preset interface, the data query request matches an external query semantic predefined in the preset interface; analyzing the data query request by using a preset analysis strategy to obtain a data query syntax tree; generating an internal query statement according to the data query syntax tree; and performing data query according to the internal query statement to obtain a data query result. The data query method of the application uses the preset interface with the defined external query semantic to uniformly receive the external query request, avoids exposing the internal implementation of the data query to the outside, is more flexible, improves the query capability of the database query interface, and meets the requirements of different business scenarios.

A business analytics conversational tool comprising: a device comprising a communication channel, a natural language processor (NLP), a fulfillment application program interface (F-API), a database application program interface (D-API), and a business management database; wherein: the NLP receives a user-input from a user through the communication channel; the NLP deduces an intent of the user-input; the NLP communicates the intent to the F-API; the F-API communicates a request for data associated with the intent to the database via the D-API; the D-API communicates the data associated with the intent to the F-API; the F-API converts the data associated with the intent to conversational form and sends the conversational form for voice output through the communication channel.

The present invention discloses a method for changing redundant tables in a database based on feature recognition, belonging to the technical field of database application management. It includes: 1) data cleaning; 2) field classification to obtain an enumerated field set and a field set to be confirmed; 3) field set classification; 4) generating a structure tree, sequentially taking out each enumerated field or enumerated field set and the field to be confirmed as tree nodes, and each tree node stores a key-value pair; 5) converting each node of the structure tree into a key-value pair and outputting a yaml configuration file; 6) manually making technical modifications to the yaml configuration file; 7) reading the yaml configuration file, restoring the data structure to a tree structure, and finally outputting a changed redundant database script. The present invention reduces the number of times of manually configuring redundant tables without reconstructing the database, greatly reduces the risk of project configuration going online and the interference of redundant fields, and improves the change efficiency of redundant data tables.

A business analytics conversational tool comprising: a device comprising a communication channel, a natural language processor (NLP), a fulfillment application program interface (F-API), a database application program interface (D-API), and a business management database; wherein: the NLP receives a user-input from a user through the communication channel; the NLP deduces an intent of the user-input; the NLP communicates the intent to the F-API; the F-API communicates a request for data associated with the intent to the database via the D-API; the D-API communicates the data associated with the intent to the F-API; the F-API converts the data associated with the intent to conversational form and sends the conversational form for voice output through the communication channel.

A method for improving a query performance of a query of a database application using rewrite includes introducing a database query into a database application to obtain a query result, analyzing the database query to identify index columns and a predicate column; identifying associated columns by determining if any associations exist between the index columns and the predicate column, calculating a confidence score value for each of the associated columns responsive to the associated columns and the predicate column, generating a list of associated columns with the confidence score values, generating a rewritten query by rewriting the database query based on the list of associated columns and the confidence score values and validating the rewritten query.