54 results about "Data definition language" patented technology

A SQL generation method based on a large language model, comprising: generating data definition language (DDL) prompt slot information and data example slot information on the basis of a configuration operation of a user on a SQL database; receiving a natural language query request input by the user, and transcribing the natural language query request to obtain question transcribing slot information; on the basis of the question transcribing slot information, the DDL prompt slot information and the data example slot information, acquiring complete prompt information matched with a large language model; and inputting the complete prompt information into the large language model to generate an executable SQL statement matched with the natural language query request.

The invention relates to the technical field of teaching, and particularly discloses an electrocardiographic examination operation method and system for simulation teaching, and the method comprises the steps: obtaining a data change record in a data synchronization process, the data change record comprising data definition language DDL sample set information, an operation timestamp and operation content; acquiring multiple pieces of statement sample information according to the DDL sample set information, and acquiring semantic similarity of each piece of statement sample information; and obtaining an operation identifier corresponding to each piece of statement sample information according to the operation content. According to the method and the device, the problem of insufficient operation analysis in the prior art is comprehensively and deeply solved by acquiring the operation identifier, calculating the operation similarity value, the operation data difference index and the like. Operation key feature information can be accurately extracted, the actual significance and association of data operation are clarified in combination with context identification, and misjudgment caused by inaccurate information extraction and lack of context consideration is avoided.

The embodiment of the invention provides a data analysis method and system based on retrieval enhancement, and the method can obtain query information in a natural language text form, and retrieves enhancement information in a current domain knowledge base according to the query information, the enhanced information comprises one or more combinations of data definition language annotations, query engine grammar documents, business statement cases and custom domain indexes. And inputting the query information and the enhanced information into a statement generation model, and generating a query statement based on a retrieval result of the statement generation model. And executing the query statement through the database query engine, and obtaining the target data from the database. According to the method, semantic mapping of table names or fields can be established by constructing data definition language statements with annotations and query statement question and answer pairs, and the efficiency and accuracy of natural language query are improved.

The invention discloses a data warehouse table structure generation method and device, a medium and a product, and belongs to the technical field of data warehouses. According to the method, the Excel template configured with multiple pieces of source database table structure information is obtained, table field definition is automatically analyzed, the source data type is intelligently mapped and converted into the target data type according to the source database type, meanwhile, partition key fields are automatically recognized based on the preset strategy, and finally a complete and accurate data definition language (DDL) statement is generated. According to the method, remarkable technical breakthrough and value are achieved in practical application, the table building efficiency can be improved by 90% or above, batch processing of hundreds of tables is supported, and manual errors are reduced by 95% or above; mainstream database type conversion is comprehensively supported, and various data models such as Dores are adapted; the method has the capabilities of automatic type detection and conversion, intelligent key field selection and partitioning and bucket dividing strategy optimization.

Embodiments of the present application provide a database processing method, an electronic device, a storage medium, and a program product. The method comprises: receiving a data definition language (DDL) request sent by an application device, and executing each DDL statement in the DDL request on the basis of at least one first data node to obtain a first execution result of each DDL statement; if it is determined that the first execution result represents that the execution of the DDL statement has failed, updating an execution state of the DDL statement to a failed state, and determining the number of retries for the DDL statement; if it is determined that the number of retries for the DDL statement is less than or equal to a preset number, determining table information of a target database, and re-executing the DDL statement on the basis of the table information of the target database to obtain a second execution result of the DDL statement; and sending the second execution result of the DDL statement to the application device. The present application can improve database processing efficiency.

The present disclosure relates to a database-based data synchronization method, device, medium, equipment and product, and in particular to the technical field of data transmission, which writes the current data synchronization point into the log file of the database through the target statement of the data definition language type carrying the current data synchronization point, and finds the target data synchronization point in the log file of the database when data breakpoint transmission, and then performs data synchronization based on the target data synchronization point, which can play the role of data fence, avoid the invalidation of the data synchronization point in the scene of master-slave database switching, so that the consistency and integrity of the data can be guaranteed in the data synchronization process in the scene of master-slave database switching. Moreover, the data synchronization point can also be supported by various versions of MySQL database through the target statement of the data definition language.

The invention provides a database slow query statement intelligent analysis and optimization system based on artificial intelligence, which belongs to the technical field of data processing, and specifically comprises a slow query detection module, a slow query analysis module, a slow query analysis module and a slow query analysis module, the standardization processing module is responsible for formatting a slow query statement by adopting a structured query language analysis technology to obtain a standardized statement, and the execution plan analysis module is used for extracting a performance index and a structured execution plan analysis table; the table structure acquisition module is responsible for automatically acquiring table structure information of a data definition language of a related table of the table name, and the performance analysis module is responsible for determining a recognition optimization scheme of the slow query statement by utilizing optimization suggestions, so that the recognition processing accuracy of the slow query statement is further improved.

The embodiment of the present specification provides a DDL statement execution method and device, and relates to the technical field of databases.The method comprises the following steps: in response to an execution request for a data definition language (DDL) statement, starting a transaction, the transaction being used for executing the DDL statement; recording target lock information corresponding to the DDL statement in the transaction, the target lock information being used for indicating parameters of locks added on a database object in the execution process of the DDL statement; in response to successful submission of the transaction, deleting the target lock information, so as to complete the execution of the DDL statement.The scheme provided by the present specification connects the lock operation in the execution process of the DDL statement into the transaction, provides a perfect lock management mechanism, makes the execution condition of the DDL statement consistent with the control of the lock, and thus can coordinate the concurrent processing of multiple DDL statements.

This invention discloses a real-time data synchronization method based on DAG orchestration and asynchronous zero-copy architecture, comprising: constructing a directed acyclic graph (DAG) based on timestamped data and its data lineage to obtain parallelizable task nodes; sending data using a zero-copy transmission method based on io_uring based on the parallelizable task nodes to obtain zero-copy transmitted data; grouping the received data according to the source IP address and storing it in the corresponding receiving queue to obtain grouped queue data; and sorting and merging the grouped queue data according to the global timestamp using a time window multi-path merge algorithm, and using an event barrier mechanism to handle the order of data definition language instructions and data manipulation language instructions to obtain a globally ordered event stream. This invention achieves dependency-aware parallel scheduling, zero-copy asynchronous transmission, and globally ordered merging of cross-source events.

The application discloses an implementation method and device for online data definition language operation of a graph database. The features include: receiving an online data definition language operation on the graph database, executing the online data definition language operation, determining a to-be-updated graph data version corresponding to the online data definition language operation, identifying a database operation type corresponding to the online data definition language operation, generating a schema update task in the case that the database operation type or a version control system detects that the graph database meets a preset graph database update condition, and updating the to-be-updated graph data version to the graph database according to the schema update task. The application supports continuous business operation in the schema change process, minimizes system downtime, reduces redundant storage, reduces storage cost, provides strong support for fault recovery and problem diagnosis through a version control mechanism, supports more efficient distributed synchronization, and reduces network overhead and computing resource consumption.

The invention relates to a data processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining a to-be-recognized SQL file and a corresponding configuration file, the configuration file comprises first corresponding information, and the first corresponding information comprises a corresponding relation between a table field and a configuration constraint; according to the SQL file, second corresponding information and related table names are determined, and the second corresponding information comprises table fields and corresponding information of initial constraints; extracting third corresponding information from a data definition language file corresponding to the related table name, wherein the third corresponding information comprises table fields and corresponding information of supplementary constraints; determining a legal value corresponding to each table field according to the first corresponding information, the second corresponding information and the third corresponding information; and executing database operation on the SQL database according to the legal value corresponding to each table field. According to the method, abnormal value insertion can be effectively avoided, so that deviation of data statistics is prevented.

The invention discloses a method and a device for realizing online data definition language operation of a graph database. The method is characterized by comprising the following steps: receiving an online data definition language operation on a graph database, executing the online data definition language operation, and determining a to-be-updated graph data version corresponding to the online data definition language operation; identifying a database operation type corresponding to the online data definition language operation, and generating a mode updating task under the condition that the database operation type or the version control system detects that the graph database meets a preset graph database updating condition; and updating the to-be-updated graph data version to the graph database according to the mode updating task. According to the method, continuous service operation in the mode change process is supported, the system downtime is minimized, redundant storage is reduced, the storage cost is reduced, powerful support is provided for fault recovery and problem diagnosis through a version control mechanism, more efficient distributed synchronization is supported, and network overhead and computing resource consumption are reduced.

The invention discloses a data synchronization method, device and equipment and a computer readable storage medium, which are applied to the technical field of data processing, and the method comprises the following steps: converting a data definition language event and a data manipulation language event into a data definition structured statement and a data manipulation structured statement; determining whether the data manipulation structured statement depends on the data definition structured statement or not by utilizing a dependency analysis model; and when the data manipulation structured statement does not depend on the data definition structured statement, determining to synchronously execute the data definition language event and the data manipulation language event. Compared with the condition that one data definition language event blocks all data manipulation language events during current data synchronization, the method and the device have the advantages that the dependency relationship between the data definition language event and the data manipulation language event can be determined through the dependency analysis model; therefore, the data definition language event and the data manipulation language event can be synchronized at the same time in the target library, and the data synchronization efficiency can be improved.

The invention relates to the technical field of information processing, and discloses a processing method and device for analyzing JSON data into offline table data, a storage medium and a product, and the method comprises the steps that task configuration is read; obtaining original data according to the task configuration, and generating a first elastic distributed data set based on the original data; performing recursive analysis conversion on the first elastic distributed data set to generate a second elastic distributed data set containing a key value pair set; obtaining an existing field set in the target table; executing distributed calculation on the second elastic distributed data set to obtain a newly added key list; generating a data definition language statement according to the key list and the mode information; executing the data definition language statement to extend the table structure of the target table; and the second elastic distributed data set is converted into the data frame according to the table structure of the expanded target table, and the data frame is written into the target table, so that the JSON data can be automatically analyzed to the offline table, and the processing timeliness of the data is improved.

The present invention relates to the field of software testing technology, and specifically to a method, device, equipment, and storage medium for rapid debugging of SQL statements, the method comprising: obtaining a data definition language from a database management system; obtaining an SQL statement to be debugged, and if the SQL statement sets a variable mapping, automatically mapping fields and data, and replacing the corresponding data with variables; determining whether the SQL statement is an Insert statement, and if so, performing a full format specification check on the SQL statement according to a pre-stored Java script specification; if not, performing a marker check in the format specification check on the SQL statement; and outputting a check result, the check result including all non-standard or erroneous location information. It can be understood that the technical solution shown in the present invention can automatically perform variable mapping and format specification check, assisting users in debugging SQL statements, with simple operation and improved work efficiency.

Embodiments of the present application disclose an event processing method, device and equipment, and a storage medium. The method comprises: obtaining a data update event of a target upstream sub-table in an upstream database when data is updated; in response to the target upstream sub-table not being in a preset state and no data update event being executed for a downstream database, determining whether the data update event comprises a data definition language (DDL) event or a data manipulation language (DML) event; in response to the data update event comprising a DML event, executing the data update event for the downstream database; and in response to the data update event comprising a DDL event, determining a compatibility state of a target table structure before data is updated in the target upstream sub-table and table structures of other upstream sub-tables in the upstream database, and processing the data update event based on the compatibility state. The embodiments of the present application can flexibly process data update events corresponding to upstream sub-tables in an upstream database, and have high applicability.

The present application relates to the technical field of database, and discloses a database rollback method and device, electronic equipment and storage medium, the method comprises the following steps: obtaining a first table structure corresponding to a first database and a second table structure corresponding to a second database; when the first table structure is different from the second table structure, determining the table structure difference information between the first table structure and the second table structure; generating at least one change statement in the form of data definition language based on the difference attribute corresponding to the table structure difference information; if a first change statement fails during the execution of the table structure change process, obtaining a second change statement that has been successfully executed; based on the rollback strategy corresponding to the second change statement, restoring the second database to the original state before the change. By implementing the method, the table structure and business data of the second database can be restored to the original state before the change, thereby not affecting the normal operation of related businesses.

The embodiments of the present disclosure provide a data processing method, device, electronic device and storage medium, which relate to the field of databases, and can be used in the field of distributed databases, for example. The method includes: obtaining a first operation submitted by a second node for metadata of a target data object; if the comparison information is inconsistent with the information to be matched of the metadata of the data object stored by the first node, instructing the second node to go offline; wherein, the first node stores the state advancement information of the data object for recording the metadata of the data object and the online time of the data definition language DDL master node in the distributed database system; the information to be matched is the last timestamp in the security update interval; the last timestamp includes the online time of the latest online DDL master node or the start time of the latest state advancement. The embodiments of the present disclosure ensure data consistency under network isolation.

The embodiment of the application provides a kind of database cluster in standby machine temporary table processing method, equipment, storage medium and program product, it is related to distributed field.The method comprises: receiving data definition language (DDL) operation request;In response to determining that the DDL operation request is the request of creating standby machine local temporary table, the pre-write log (WAL) level of DDL operation is set to the log level specially used for the creation of standby machine local temporary table;Local temporary table is allocated identifier, and the identifier includes object identifier and the cluster node identifier of backup node;The metadata of local temporary table is stored in the memory storage area locally of backup node, and the memory storage area is independent of the physical system table synchronized with master node.The method of the application increases the ability of standby machine to independently process local temporary data operation, and improves the utilization efficiency of overall resources of database cluster.

The invention relates to an SQL (Structured Query Language) statement generation method and device based on multi-stage and retrieval enhancement. The method comprises the following steps: respectively inputting a natural language question into a data definition language selector and an object selector; performing semantic analysis on the natural language question to obtain at least one database table related to the natural language question; performing field value matching processing on the natural language question to obtain a standard field value matched with the natural language question; inputting the at least one database table and the standard field value into a demand extraction module to obtain a first output result of the first large model; the natural language question matched with the intention is input into a pre-trained second large model, a second output result of the second large model is obtained, and the second output result is the target SQL statement. According to the scheme provided by the invention, the reliability and accuracy of the SQL statement can be improved through the target SQL statement when the natural language query is converted into the SQL query.

The invention provides a dynamic form storage method and system based on a large model and a storage medium, and the method comprises the steps: obtaining a dynamic data table, inputting the dynamic data table into a pre-trained large model, and carrying out field semantic recognition to obtain field semantic information; determining a data definition language table building statement according to the field semantic information, and executing the data definition language table building statement in a target database to obtain a physical data table; obtaining mapping information between the dynamic data table and the physical data table, and generating a table mapping relation according to the mapping information; and mapping the form data in the dynamic data table to the physical data table according to the table mapping relation. According to the embodiment of the invention, based on the physical data table after data mapping, data structured storage of the dynamic data table can be effectively realized, conversion from the form field to the database field is effectively facilitated based on the table mapping relation, and the use experience of a user is improved.

The invention discloses an NL2SQL method, device and equipment based on retrieval enhancement, a medium and a program product. The method comprises the following steps: constructing a three-layer tree index and a database mode abstract of a target database based on a DDL (Data Definition Language) of the target database; wherein the three-layer tree index comprises a surface layer index, a column layer index and a value layer index; constructing an external knowledge base, wherein the external knowledge base comprises knowledge related to the target business corresponding to the target database; under the condition that a natural language question used for querying the target database is received, candidate objects related to the natural language question in the target database are determined based on the three-layer tree-shaped index; acquiring knowledge related to the candidate object from an external knowledge base as enhanced information; and generating a structured query language (SQL) corresponding to the natural language problem based on the natural language problem, the candidate object, the database mode abstract and the enhanced information through a large language model. According to the embodiment of the invention, the accuracy and efficiency of NL2SQL conversion can be improved.

The invention relates to a multi-source data fusion concrete industry single project cost income accounting method, which belongs to the technical field of data processing, and comprises the following steps: S1, collecting and supplementing multi-source heterogeneous data; s2, data structuring is carried out, and a unified language system is established; s3, cross-domain data intelligent association is carried out; s4, ETL processing and automatic binding of multi-source data are carried out; and S5, carrying out visual display on the processed and associated data through a BI report. Through data definition language and natural language processing, a unified data model covering core business entities and key links and a cross-system data dictionary are constructed, the problem of multi-system data semantic conflict is solved, the logic consistency of cost and income accounting is ensured, and intelligent matching of raw material purchase batches and consumption records is achieved.

The embodiment of the invention provides a data processing method and device, electronic equipment and a storage medium, and relates to the field of databases, for example, the data processing method and device can be applied to the field of distributed databases. The method comprises the steps of obtaining a first operation which is submitted by a second node and aims at metadata of a target data object; if the comparison information is inconsistent with the to-be-matched information of the metadata of the data object stored in the first node, indicating the second node to be offline; wherein the first node stores state propulsion information, used for recording metadata of the data object, of the data object and an online moment of a main node of a data definition language DDL in the distributed database system; the to-be-matched information is the last timestamp in the security update interval; the last timestamp comprises the online moment of the latest online DDL main node or the starting moment of the latest state propulsion. According to the embodiment of the invention, the data consistency under the condition of network isolation is ensured.

The invention relates to the technical field of object relation mapping, in particular to a dynamic object relation mapping method. The method comprises the following steps: S1, defining entities and relationships according to a domain model, and converting the entities and relationships into metadata; s2, the dynamic ORM framework analyzes the metadata to generate DDL statements and executes the DDL statements; s3, the transmission value is converted into memory and database type values, and the dynamic ORM maps the operation command of the domain object into an SQL statement and executes the SQL statement; s4, constructing a query expression tree, mapping the query expression tree into an SQL expression model by the dynamic ORM, and generating an SQL statement; and S5, executing the SQL statement to obtain a result set, and converting the result set back to the domain entity. According to the dynamic ORM technology, through metadata description, dynamic analysis and cache storage, real-time updating of the domain model, automatic generation and execution of DDL statements and synchronization and automatic management of a database structure are achieved, low-code direct definition and management of the domain model are supported, complex codes do not need to be written, and the demand response speed and development efficiency are improved.

The present application discloses a data processing method, a computer device, a storage medium, and a program product, relating to the field of computer technologies, including determining the data structure type of a data object according to a target field of the data object, where the data structure type includes first structured data and second structured data, the first structured data includes data definition language, and the second structured data includes the first structured data and data content, obtaining corresponding data processing strategies according to different data structure types, and processing data of different data structure types, which solves the problems of poor flexibility when docking system tasks and the pressure on memory resources caused by obtaining a large amount of data, and achieves the technical effect of improving the performance of the data processing system.

The embodiment of the invention discloses a data processing method, electronic equipment and a storage medium, and the method comprises the steps: obtaining an offline DDL (Data Definition Language) operation request which indicates a data table name and a to-be-modified data table structure; determining a source data table according to the data table name, and creating a temporary data table according to the to-be-modified data table structure; migrating data in the source data table to the temporary data table according to the to-be-modified data table structure; in response to a service request received in the migration process, processing the service request according to the source data table; and after migration is completed, switching the temporary data table into a new source data table. According to the embodiment, the DML operation is not blocked in the process of responding to the offline DDL operation request, and the production service is not influenced, so that the service production efficiency is improved.

The invention discloses a cross-database-platform data definition language processing method, medium and equipment, and the method comprises the steps: receiving a database structure definition file written in a unified data definition language which comprises an instruction set independent of a specific database platform; reading the file content line by line, identifying and verifying the legality of the instruction text through a regular expression, and converting the instruction text into a predefined intermediate representation object; according to the type of the target database, a corresponding DDL template is called from a preset template library, the template is filled with structural information contained in the intermediate representation object, and a DDL script compatible with the target database is generated through rendering of a template engine; and finally, running the DDL script, and realizing structure creation or change in the target database. According to the method, unified intermediate representation and template rendering are defined, so that one-time writing of database structure definition is realized, multi-database deployment is automatically adapted, and the development efficiency and the deployment reliability are remarkably improved.

This application provides a data processing method, apparatus, electronic device, and medium, relating to the field of data engineering technology. The method includes: determining a target field based on a first operation frequency and a second operation frequency of each field in a Data Definition Language (DDL) operation flow; calculating the path weights of a set of related paths between the target field and the first field to obtain a path weight set; calculating a comprehensive score for the first field based on the semantic similarity between the target field and the first field and the path weight set; and determining a replacement field based on the comprehensive score. The replacement field is used to replace the target field, and the replacement field includes the first field, a second field, and a third field, wherein the second field is a mixed value generated based on the first field, and the third field is a default value. This improves the flexibility and reliability of data processing and adapts to the ETL data flow requirements in scenarios with high-frequency field changes.

The present invention relates to the field of teaching technologies, and specifically discloses an electrocardiogram examination operation method and system for simulation teaching, including: obtaining a data change record during the data synchronization process, where the data change record includes data definition language (DDL) sample set information, an operation timestamp, and operation content; obtaining a plurality of statement sample information according to the data definition language (DDL) sample set information, and obtaining the semantic similarity of each statement sample information; obtaining an operation identifier corresponding to each statement sample information according to the operation content. By obtaining operation identifiers, calculating operation similarity values, operation data difference indexes, etc., the present invention comprehensively and deeply solves the problem of insufficient operation analysis in the prior art. It can accurately extract key operation feature information, clarify the actual meaning and association of data operations in combination with context identifiers, and avoid misjudgments caused by inaccurate information extraction and lack of context consideration.