132 results about "Transaction log" patented technology

Systems and processes are disclosed for enhancing cybersecurity and optimizing software repositories through integration of web crawling, web scraping, feature engineering, and advanced machine learning algorithms to detect phishing attempts, prevent account takeover fraud, and identify unused code in repositories. The system collects and refines data from various sources, including transaction logs, customer databases, device details, external data sources, and historical fraud data, to build comprehensive datasets. Feature engineering creates new, meaningful features from the refined data, which are used to train and evaluate machine learning models. The best-performing models are deployed in production to monitor incoming communications and transactions in real-time, flagging suspicious activities and optimizing codebases. This processing ensures timely detection and prevention of security threats while maintaining efficient software development processes. Robust protection is provided against evolving cyber threats and enhances software performance and security through continuous learning and adaptation.

The invention provides a dynamic tool integration method and system for an intention-driven AI dialogue system, and the method comprises the steps: S5, extracting resource occupation information from a transaction log according to a state persistence record, carrying out the resource release and temporary context cleaning of each heterogeneous component, and obtaining a released resource list; s6, searching a breakpoint state snapshot and a transaction log from the distributed database according to the released resource list, and reconstructing a tool chain execution flow historical state to obtain a fault context analysis result; and S8, according to the context recovery state and the semantic feature vector, updating a tool chain execution stream, and reallocating computing resources through a heterogeneous component coordination mechanism to obtain a task continuity confirmation result. According to the method, the recovery efficiency and the resource utilization rate of the tool chain in an abnormal scene are remarkably improved, and the task continuity and the system robustness in a high-concurrency environment are guaranteed.

The invention relates to the technical field of computer data processing, and discloses an automatic format conversion and incremental synchronization method for cross-platform heterogeneous document data. The method comprises the following steps: capturing an atomic data change event from a source system transaction log; aggregating into logic transaction units according to the transaction identifiers; converting into a unified intermediate normal form; generating a target system operation instruction set based on the metadata mapping rule; the synchronization sites are executed and persisted in a transactional manner. According to the method, through log-level capture and transactional synchronization, data integrity, sequence and high consistency are ensured, and efficient and reliable data synchronization between heterogeneous systems is supported.

The invention discloses a big language model training system and method based on a knowledge graph, and relates to the cross field of artificial intelligence and database technology, and the method comprises the following steps: S1, monitoring a transaction log of a knowledge graph database to obtain a change event of knowledge data, and extracting a change data set; and S2, converting the changed data set into a vector form, and determining an affected corpus subset from all training corpora by calculating a semantic similarity with a training corpus vector library. According to the big language model training system and method based on the knowledge graph, the contradiction between dynamic updating of the knowledge graph and static training of the big language model is solved. The knowledge graph change is monitored in real time and the affected corpus is accurately positioned, so that the increment and intelligence of the training process are realized, the computing resource waste and time delay caused by the traditional full-amount training are avoided, and the model training efficiency is improved.

The invention relates to the technical field of database operation and maintenance, in particular to an automatic database operation and maintenance method and system. The method comprises the following steps: acquiring a transaction log in a database; analyzing the transaction log, and determining an operation service; analyzing the operation business, and determining business semantics and transaction association between transactions corresponding to the operation business; analyzing business semantics and transaction association, and determining an abnormal business and an operation atomicity level; determining rollback logic of the abnormal business according to the transaction association and the operation atomicity level; and according to the rollback logic, generating a multi-stage rollback path to maintain the abnormal business. According to the method, the rollback logic of the abnormal business can be determined, and the rollback operation is ensured to be executed according to the preset rollback logic, so that further confusion is avoided. The multi-stage rollback path is generated, so that the rollback operation is more flexible and efficient, the intermediate state in the transaction is gradually revoked, and the influence on the performance is reduced.

The invention relates to an inventory data synchronization and consistency verification system supporting network disconnection fault tolerance, and discloses an inventory data synchronization and consistency verification system which realizes continuous recording of inventory operation during a network disconnection period through network state detection and local cache, performs batch transmission after network recovery through a synchronous uploading and verification mechanism, and ensures data integrity. According to the inventory data synchronization and consistency verification system supporting network disconnection fault tolerance, data conflicts are automatically solved through a conflict detection and strategy processing module, a difference report is generated through consistency verification, and secondary synchronization is executed, so that safe synchronization and final consistency guarantee of inventory data are achieved, and it is ensured that the service process is continuous and stable. The system is characterized by comprising a network state detection module, a local cache module, a transaction log management module, a synchronous uploading module, a conflict detection module, a conflict resolution strategy module, a consistency verification module and an abnormity alarm and manual intervention interface module.

The invention relates to the technical field of retail management, in particular to a retail end online management method and system based on concurrency control, and the method comprises the steps: constructing a retail knowledge graph based on historical transaction logs through employing a space-time interaction entropy weighting algorithm; calculating a local topology edge density increment by applying a streaming dense subgraph increment mining algorithm, and determining a topology aggregation state of a target node; if the state is the mixed concurrent state, constructing an inventory time slice mirror image containing a reference inventory domain and a dynamic increment domain; and writing the request into the lock-free annular buffer during checking, and merging data by adopting a time sequence alignment algorithm after checking to carry out atomized updating. According to the method, static inventory and dynamic sales are physically isolated by constructing the inventory time slice mirroring and lock-free buffer mechanism, the read-write conflict in the scene of inventory while sales is solved, and zero-blocking hybrid concurrence is realized while the final consistency of inventory data is guaranteed.

An illustrative data storage management system comprises a management database that stores administrative preferences and system configurations, as well as results and / or statistics of completed secondary storage operations, i.e., information needed by the system to protect customers' data and to track and recover the protected data, including secondary copies such as backup copies, archive copies, etc. The disclosed data storage management system is configured to protect its own system data subject to a very aggressive (short) Recovery Point Objective (RPO), by using an innovative infrastructure that enables the system's storage manager to fail over to any number of other failover destination storage managers, each one comprising a destination management database. An illustrative database granularly tracks whether each and every transaction log file has been successfully applied to each and every destination management database to synchronize with the source management database.

The invention discloses a road berth charging and control system for realizing multi-level fault tolerance and a method thereof, and belongs to the technical field of intelligent traffic systems and Internet of Things. The system adopts an edge computing and distributed sensing collaborative architecture, and is composed of an edge controller (ECU) and a sensing and control unit (SCU) deployed in a berth. High availability of the system is ensured through fault-tolerant design of three core dimensions: firstly, perception layer fault tolerance dynamically adjusts data fusion weights of geomagnetism, millimeter wave radar and visual AI according to real-time environment data such as rainfall and electromagnetic interference by integrating an environment perception sub-module; secondly, network layer fault tolerance utilizes an immutable transaction log and a Saga distributed transaction compensation mechanism to realize local charging and digital RMB double offline payment when cloud connection is interrupted, and data consistency is ensured after network recovery; and finally, a hardware layer establishes a neighborhood cooperation protocol based on a signature agent command through fault tolerance, and a healthy node is allowed to act as an agent fault node through safety verification to execute an unlocking instruction. According to the invention, the problems of environmental interference, network interruption, single-point hardware failure and the like in unattended parking management are effectively solved, and the robustness and financial security of the system are remarkably improved.

The invention discloses a distributed transaction coordination system for a high-concurrency scene, and particularly relates to the technical field of distributed computing and transaction management. The system comprises a transaction manager, a resource agent group and a log storage module, the transaction manager receives a transaction request, generates a global transaction identifier and maintains a state machine, and an internal fragment coordinator routes the transaction to different processing fragments according to a consistent Hash algorithm for parallel coordination; the resource agent group is connected with each resource node, executes local operation and reports a state through an asynchronous batch mechanism; and the log storage module adopts a multi-copy distributed structure to persist transaction logs. Through fragment parallel processing, asynchronous state reporting and multi-copy log cooperation, the system throughput is effectively improved, the transaction delay is reduced, and the final consistency and high availability of distributed transactions are guaranteed.

The invention discloses a transaction log abnormity monitoring processing method and device, a medium and a product, and the method comprises the steps: carrying out the global log collection of upstream and downstream nodes of a transaction system, adding a unique identifier for the log data collected in real time, and enabling the unique identifier to comprise a link tracking identifier, a node identifier and a timestamp hash value; sequentially inputting the log data added with the unique identifier into a pre-trained three-dimensional verification model; performing exception verification on a time dimension, a space dimension and an association dimension on a log data sequence formed by the sequentially input log data through the three-dimensional verification model, and outputting an exception detection result when it is determined that verification exception exists on any dimension; when it is verified that the transaction system has the abnormity of the target abnormity type according to the abnormity detection result output by the three-dimensional verification model, the abnormity processing strategy matched with the target abnormity type is executed, and intelligent monitoring and accurate processing of the whole process of the transaction calendar can be achieved.

The invention discloses an RFID data reliable transmission method and system based on multi-level cache, and relates to the technical field of Internet of Things data communication, and the method comprises the steps: collecting label data through an RFID reader-writer, adding a collection timestamp and a business semantic label to the label data, and generating original data; before the original data is written into the memory cache pool, a corresponding transaction log is recorded in the nonvolatile storage medium, and then the writing operation is executed; according to the aging priority identifier and the residence duration corresponding to the original data, executing cache level migration on the data meeting the degradation condition, moving the data from the memory cache pool to a Flash backup cache region, and synchronously updating a transaction log; high-priority original data is selected from the memory cache pool to form an upload packet, whether the upload packet is subjected to fragmentation processing or not is determined according to a historical transmission state, if not, the upload packet serves as a single transmission unit, and an overall transmission state record is created for the upload packet in a Flash backup cache region.

The invention relates to the technical field of computer data processing, and discloses an intelligent exhibition hall multi-modal interaction digital human system and an implementation method, which are used for solving the problem that multi-source data of multi-modal interaction lacks a unified clock and verifiable timestamp alignment mechanism in a traditional method. According to the method, a unified time domain and a time version are established on an edge side, terminal access is restrained, and an acquisition time mark, an access time mark and a serial number are written in data or a state; performing gating shunting according to a time version, performing de-duplication and out-of-order rearrangement based on a serial number and double time marks, and generating and solidifying a session window evidence index; locking a transaction window boundary according to the evidence index, generating a participation source list and a transaction number, establishing a fragment reference relationship and generating an alignment voucher; in the linkage stage, phase division issuing is carried out according to a preparation phase, an execution phase and a confirmation phase, backward reading verification is carried out according to an action sequence number, a transaction log is archived, and alignment, rechecking and playback of an interaction link are achieved.

The invention relates to the technical field of database management, in particular to an automatic database backup and recovery method and system based on artificial intelligence, and the method comprises the steps: collecting the operation data of a database in real time, and constructing a dynamic data feature model; dynamically generating a backup strategy through a backup strategy generation module based on the data feature model; executing backup operation according to the backup strategy, creating and updating a metadata index used for rapid recovery in the backup process, monitoring the backup state in real time, and automatically triggering a grading retry mechanism when backup abnormity is detected; automatically executing a recovery test, verifying the integrity and recoverability of the backup data, and if verification fails, triggering an alarm and performing backup again; and when a data recovery request is received, quickly positioning and recovering target data based on the metadata index and the transaction log, and monitoring a recovery state in real time in a recovery process. The rigidity of a traditional fixed strategy is overcome, and the backup efficiency is improved.

The application discloses a historical document version knowledge ontology dynamic collaborative construction method and system, relates to the technical field of humanistic knowledge graph, and comprises the following steps: inputting a version feature set into a multi-node cloud collaborative processing architecture, calculating local similarity scores between versions, and outputting a version similarity matrix; utilizing a distributed conflict detection mechanism to evaluate the consistency of the version similarity matrix, marking entity mapping pairs with a confidence level lower than a confidence threshold, generating a conflict transaction log; inputting the conflict transaction log into a five-level contradiction hierarchical processing protocol, outputting arbitration results, converting the arbitration results into corresponding OWL ontology update statements, adding version trace annotations, and outputting historical document update instructions; and according to the historical document update instructions, dynamically expanding an entity relationship network of a historical document knowledge ontology, and outputting a historical document version knowledge ontology through a three-layer intelligent analysis framework. The application significantly enhances the automation and reliability of multi-version document knowledge management.

A method may include, obtaining, by one or more processors, transaction logs of a database server captured in a predetermined time period, identifying, by the one or more processors, a rate of change of data within the transaction logs, classifying, by the one or more processors, portions of the time period according to the rate of change of data within the portions of the time period, and setting, by the one or more processors, a service level agreement (SLA) for each portion of the time period according to the classification of each portion.

The application relates to a transaction submission control method and system. The method comprises the following steps: based on a transaction request sent by a client being received, freezing a write set of a transaction corresponding to the transaction request; writing a transaction log record of the transaction request into a prewrite log, including all modification records in the transaction corresponding to the transaction request and a submission mark record; performing a persistence operation on the prewrite log by a persistence module, and returning a persistence completion information and a corresponding log location LSN to a submission point control module after a preset persistence condition is met, the persistence module and the submission point control module being isolated from each other; marking the transaction corresponding to the transaction request as reaching a persistent submission point by the submission point control module, and writing the mark into the prewrite log to form a recoverable submission point record; and returning a transaction submission success response to the client only after the mark representing the persistent submission point is written into the prewrite log. The normalization of transaction submission semantics is realized.

The application discloses a cross-clock domain register synchronization method and device. It relates to the technical field of digital integrated circuit design. The method comprises the following steps: when the target clock domain is unavailable, routing the bus read-write request to a shadow register array driven by a system clock, and writing a write transaction log into a log queue when the write transaction is completed, the write transaction log comprising a target address, write data and byte enable; when the target clock domain changes from unavailable to available and the log queue is not empty, setting the handshake signal of the bus interface to invalid, reading the write transaction log from the log queue according to the write sequence, and writing the write data into the target register through a byte mask circuit according to the target address in the write transaction log; when the target clock domain is available and the log queue is empty, routing the bus read-write request to the target register, and setting the handshake signal of the bus interface to valid. The method realizes register access integrity and sequential consistency in the target clock dynamic change scenario.

The application discloses a kind of distributed reservation systems and methods for multi-resource cooperation, comprising: transaction manager, at least two resource managers, lock manager, transaction log module and workflow controller;Transaction manager coordinates each resource manager through two-phase commit 2PC protocol, realizes the atomicity execution of cross-node shadow and summary table update;Lock manager adopts read-write lock separation mechanism to resolve concurrent conflict, and handles deadlock problem through timeout detection and active unlocking strategy;Transaction log module is based on prewrite log mechanism Complete record shadow and summary table linkage operation details, provide reliable support for fault recovery and transaction rollback;Workflow controller encapsulates distributed call details, realizes service survival real-time detection and automatic reconnection function.The application has high expansibility, strong consistency, high concurrent adaptation capability and perfect exception fault-tolerant mechanism, and can be widely applied to travel service scene of multi-node deployment.

The embodiment of the invention discloses a batch service data processing method and related equipment, which are used for avoiding rollback of a whole batch of service data caused by processing failure of a single service entity and improving the batch service data processing efficiency. The method comprises the following steps: acquiring batch service processing requests for a plurality of service entities; constructing a transaction unit for each business entity; packaging a plurality of data operations corresponding to the service entity into a data operation sequence; respectively executing the data operation sequence of each transaction unit on one or more business processing nodes, enabling each data operation to execute local business operation on the corresponding business processing node so as to complete business data change, and recording the execution state of each transaction unit in a transaction log; and according to the execution state of each transaction unit recorded in the transaction log, submitting or rolling back the changed business data of each transaction unit so as to reserve the changed business data in the successfully executed transaction unit and revoke the changed business data in the unsuccessfully executed transaction unit.

Methods, systems, and devices for data management are described. Techniques described herein may enable a database management system (DMS) to link databases of a failover group that spans multiple data centers across different clusters for the different datacenters. For example, a centralized control entity may indicate to the clusters in different datacenters that one or more databases in a first datacenter are in a same failover group as one or more other databases in a second datacenter. A database of the first datacenter may be a primary backup database from which a first cluster in the first datacenter may obtain transaction log backups. The first cluster of the datacenter may replicate the backups to a second cluster of a second datacenter, which may enable the second cluster to refrain from obtaining backups from a secondary backup database within the second datacenter.

This invention provides a distributed transaction processing method for BOM data in a PLM system, belonging to the technical field of PLM systems. When initiating a BOM data modification transaction, this invention sends a preparation request to participating nodes and performs field-level lock acquisition. A majority vote determines whether the transaction should be committed or rolled back. Transaction logs are batch-aggregated into group commit log blocks according to time windows and copied to persistent memory via RDMA. A closure table is established for the BOM tree structure to store ancestor-descendant relationships. An artificial intelligence model is used to monitor node response latency and log write rate to dynamically adjust parameters. When a network partition is detected, nodes holding a majority lease continue processing the transaction. After partition recovery, data merging is performed using version vector conflict detection and a compensation transaction mode. This solves the problem of data consistency being difficult to guarantee due to network partitions when processing BOM data modification transactions in a distributed PLM system.

The application provides a transaction log collection method, device and system. The transaction log collection method comprises the following steps: putting log files of each application server into a cache queue; determining a time difference according to a tail transaction time and a head message transaction time; determining a log output time according to the time difference and the head message transaction time; sorting the log files in the cache queue according to transaction times in the log files, and putting the sorted log files into an output message queue according to the log output time. The application can effectively deal with a large number of logs generated in a short time, ensure that the collected logs are complete and orderly, avoid transaction failure, and further improve the playback efficiency and effect of a subsequent follow-up playback device.

The invention discloses an employee subject authorization verification and authorization change verifiable control method and system. The method comprises the following steps: segmenting a natural language authorization task and establishing session isolation for each subtask; calling a neural network model in the first session to output an employee subject name set, an action enumeration and a task phrase set in a fixed format; generating a candidate task subset based on the cross index, calling a neural network model in a second session to carry out constrained semantic alignment, and allowing to output candidate inner task codes or newly creating task names; the execution layer rejects border-crossing output through a hard check gate; a compensation transaction log is generated before writing, a pre-change snapshot and a fingerprint value of an influence domain file are stored, the fingerprint value is recorded after writing, a submission mark is written, and rollback recovery can be performed according to a transaction state during abnormal restart; the authorized cache is maintained or reconstructed based on the increments and the differential set, providing a withdrawal or compensation transaction based on fingerprint value collision detection.

The invention relates to the technical field of power transaction processing, and discloses a power transaction instruction generation and execution system based on natural language understanding. The system comprises a natural language analysis module, a dialogue state tracking module, an instruction conversion module and a transaction log generation module. The natural language analysis module receives continuous dialogue texts of a user, identifies a transaction intention entity slot position and a domain rule, and outputs a preliminary transaction element set; a dialogue state tracking module obtains a preliminary transaction element set, and missing elements are complemented through logic clarification, so that an unambiguous structured transaction parameter set is generated; the instruction conversion module maps the structured transaction parameter set into a standardized application program interface instruction of a back-end system; and the transaction log generation module associates the complete dialogue process with the standardized instruction to generate a traceable transaction operation log. The system can conveniently process the natural language instruction of the user, improves the transaction accuracy and efficiency, facilitates the transaction tracing, and is suitable for a power transaction scene.

Systems and methods for facilitating real-time item-specific application of a gift card balance to a purchase within a collaborative gift card network are described. In some cases, a system for omni-channel item-level promotional offer adjudication is provided, which may include a distributed ledger (in some cases having a plurality of nodes, a transaction log, and a consensus algorithm), a retail system having a payment module, and an adjudication module that enables the retail system to access the distributed ledger. In some cases, the adjudication module is configured to: receive and store item-level information relating to one or more inventory items for which use of a one-time-use coupon code is authorized; receive a purchase request comprising a payment amount and information concerning an item for purchase; receive a one-time-use coupon code; and read the transaction log of the distributed ledger to check whether the one-time-use coupon code has already been redeemed.

The invention relates to the field of enterprise digital platform data management, in particular to an enterprise digital platform data management method and system. The method comprises the following steps: acquiring database query execution plans, identifying an execution plan containing a high random read I / O mode in the database query execution plans, and marking the execution plan as a risk plan; continuously monitoring transaction log write-in operation delay of the database, and obtaining delay data of the transaction log write-in operation; based on the delay data, judging the relevance between the risk plan and the transaction log write-in operation delay to obtain a relevance judgment result; and when the relevance judgment result meets a preset clearing condition, automatically clearing the risk plan. The objective of the invention is to solve the problems of database query optimizer distortion, parameter sniffing, low-efficiency I / O operation and accidental long-tail delay caused by accumulation of a large amount of inactive data due to a'soft deletion 'strategy in an enterprise digital platform.

The invention discloses a hierarchical storage method and device of transaction flow, a medium, equipment and a product. The method can be applied to the field of financial science and technology. The method comprises the following steps: acquiring transaction flow information in a target period; extracting various feature information from the transaction flow information, wherein the various feature information comprises time feature information, frequency feature information and risk feature information; constructing a multi-dimensional feature vector based on various feature information; based on the multi-dimensional feature vector, a decision tree model is adopted to determine the storage level of the transaction flow information, and the transaction flow information is stored according to the storage level; the storage levels comprise N storage levels, the data value of each storage level is increased level by level, and the data value at least comprises the access frequency, the data freshness and the risk degree. Through the method and the device, the technical problem that the storage cost is too high due to the fact that the transaction flow value cannot be dynamically and intelligently distinguished in a transaction flow storage strategy in the related technology is solved.

The application provides a file processing fault-tolerant method and system of a space embedded file system, and the fault-tolerant method specifically comprises the following steps: in response to a start signal, performing multi-level environment detection and fault self-recovery processing on the space embedded file system; in response to a file writing request, generating a corresponding atomic transaction log, and performing transaction submission or fault rollback in combination with redundant storage and writing verification; in response to a file reading request, performing layer-by-layer verification on the file reading request to feed back valid data or report an exception and trigger data recovery; in response to a continuous running state of reading and writing parallel processing, periodically collecting system data, performing hierarchical code scanning verification on the system data, and triggering classified fault-tolerant processing according to the verification result. The application realizes autonomous prevention, detection and rapid recovery of faults of the space embedded file system by constructing a deep collaborative fault-tolerant mechanism from physical storage to logical data, and guarantees the continuity and reliability of data transmission and storage of the space embedded file system.