73 results about "Temporary file" patented technology

The invention provides a data dynamic exporting method and system based on template configuration. The method comprises the steps that a data exporting request for exporting data in a data source in a report form is obtained; verifying the user permission data in the request to generate a verification result; when the verification result is that the verification is passed, generating a dynamic SQL statement according to template metadata corresponding to the template classification data; executing paging query according to the dynamic SQL statement, and performing data processing and streaming writing on data acquired from a data source to which data to be exported belongs in batches; and when the paging query is finished and data processing and streaming writing of the data obtained in the last batch are completed, generating a temporary file, and returning a downloading link to the client for triggering downloading of the data in the temporary file and generating a report corresponding to the data export request. According to the method and the system, the template adjustment efficiency is improved, the memory consumption is reduced, and the big data export success rate is greatly improved.

The invention relates to the technical field of mobile terminal software updating, and provides an off-line H5 non-inductive updating method based on atomization version switching, which comprises the following steps: packaging and compressing H5 resources, calling a system interface to obtain an application writable sandbox path, and comparing version numbers in the application writable sandbox path and a server; creating a target version isolation catalogue and a temporary catalogue, writing the temporary file into a sandbox catalogue in an atomic in-place manner in a blocking manner, traversing the catalogue to confirm an entry file, constructing a symbolic link to point to a new target version isolation catalogue, and replacing an original symbolic link; establishing an off-line resource management structure under an application sandbox path, judging updating according to a network strategy and a gray rule, and evaluating a system abnormal index after updating; the invention further provides an off-line H5 non-inductive updating system based on atomization version switching. The off-line H5 non-inductive updating system comprises a resource presetting module, a sandbox management module, a non-inductive updating engine, a protocol adaptation layer and a safety verification module.

One or more embodiments of the invention provide a file system, method and device applied to a modern browser. The file system comprises a storage layer and a service layer, and the storage layer comprises a running memory and a source private file system; the service layer comprises a joint file system, and the joint file system is obtained by combining a temporary file system instance and a persistent file system instance; wherein a first file directory which is realized by relying on a running memory is created under the temporary file system instance, a second file directory which is realized by relying on a source private file system is created under the persistent file system instance, and access paths of the first file directory and the second file directory are the same. The access priority of the persistent file system instance is higher than that of the temporary file system instance.

The invention relates to the technical field of data processing, and particularly provides a dynamic updating method, system and device for an AI intelligent question and answer knowledge base and a medium, and the method comprises the steps: obtaining to-be-updated content, extracting effective information from the to-be-updated content through a semantic recognition technology, and storing the effective information in a temporary file; matching the temporary file with metadata of a file which is uploaded to a knowledge base in a pre-constructed metadatabase; if the metadata matched with the temporary file exists, not executing the operation of updating the temporary file to the knowledge base; if the metadata matched with the temporary file does not exist, calling an interface of a knowledge base platform to update the temporary file to a knowledge base; and obtaining metadata of the temporary file returned by the knowledge base platform in the knowledge base, and storing the metadata in the metadatabase. Effective information is extracted through semantic recognition, and a metadata matching mechanism is combined, so that intelligent dynamic updating of the knowledge base is realized.

The invention belongs to the field of end-cloud collaborative computing and lightweight virtualization, and provides an end-cloud collaborative lightweight application distribution and isolated operation method and system, which adopts a WASM byte code as a unique format for application distribution, compiles an application into a WASM module at a cloud and then distributes the WASM module to an end side device; the end side equipment combines read-only configuration data of a host with a temporary file system Tmpfs of a memory by utilizing OverlayFS on a file level, and maps the data into a virtual file system in a WASM sandbox; on the symbol level, a dynamic WASI bridge is introduced, according to the requirement of an import section in a WASM module, the native capacity of a host system is injected into WASM operation in a host function mode in real time, and the heterogeneous hardware characteristics of end-side equipment are adapted. The method is suitable for an end-side environment with an immutable operating system as a base, and is compatible with a cloud containerization deployment scene.

The invention provides a firmware management method and system, a storage medium and a program product. The method comprises the following steps: marking a firmware exclusive analysis class in advance through a (at) Firmware Type custom annotation, and defining a multi-product line verification rule by adopting a configuration file in advance; receiving a firmware uploading request, creating a corresponding asynchronous processing task, and temporarily storing a corresponding firmware file to the temporary storage path; obtaining a matched firmware analysis rule in the central rule base, and instantiating a corresponding (at) Firmware Type firmware exclusive analysis class to obtain analyzed firmware data; sequentially executing version preprocessing, dynamic rule matching and version verification on the analyzed firmware data according to a multi-product-line version verification rule; the firmware passing the version verification is intelligently stored; and cleaning the temporary file, and executing physical deletion on the firmware file with the reference return to zero stored in the formal storage path. By means of the technical scheme, the problems that an existing analysis rule is rigid, rule modification is tedious, and the storage utilization rate is low are solved.

The invention provides a seismic data output method of a seismic processing interpretation system, and belongs to the field of seismic exploration. The method comprises the following implementation steps: step 1, establishing a processing flow; 2, acquiring parameters input by a user; step 3, filtering data of the elastic distributed data set RDD according to parameters input by a user; step 4, outputting the channel header temporary file and the channel data temporary file in parallel; 5, extracting file header information of the header file from the elastic distributed data set RDD, and writing the file header information into an independent info file; step 6, merging the trace header temporary files to obtain an hdr file as an output file; merging the trace data temporary files to obtain a data file as an output file; and outputting the data file, the hdr file and the info file. According to the invention, the output efficiency of the seismic data is effectively improved.

The invention discloses an automatic Markdown text conversion method and device, a medium and a program product, and the method comprises the steps: firstly analyzing a Markdown text to be converted by using a python-docx engine, and generating a basic Word document which comprises a cover, a text and a directory placeholder; then the basic Word document is stored as a temporary docx file; and then loading a temporary docx file by utilizing a win32com engine, identifying and releasing a space of a directory placeholder, inserting a real directory into the space of the directory placeholder, and refreshing an association relationship between a directory title and a page number in real time to obtain a converted document. According to the method, the advantages of Python-docx and win32com are integrated, so that automatic conversion from a Markdown text to a Word document with an automatic update directory and a standard page format is realized, and the document processing efficiency and quality are effectively improved.

The present invention relates to the field of compilation of source code files. Disclosed is a method for supporting the compilation of an ultra-large source code file on the basis of an ANTLR tool. In the method for supporting the compilation of an ultra-large source code file on the basis of an ANTLR tool, when traversing tokens corresponding to each row of statements, a visitor encodes the tokens and stores the encoded tokens in a temporary file, and a token memory set and an encoding memory are no longer retained; when the last statement is parsed and compiled, the temporary file is combined with other information to form a complete compiled file; the size of the total memory mainly depends on a memory occupied in an ANTLR parse tree after the compiled file is read into the memory; and a parsed storage structure contains only information of public sections such as header and vectorList, and a small amount of token and label information for jumping, such that the overall memory footprint is greatly reduced. When an ultra-large file is compiled, the memory footprint remains stable, thereby enabling smooth compilation.

The application relates to the technical field of data processing, and discloses a service data migration method, device, equipment and storage medium, the method comprising the following steps: when receiving a service migration requirement of a user, generating to-be-migrated service data according to the service migration requirement; performing migration allocation on the to-be-migrated service data according to system overhead conditions, obtaining a migration detail file corresponding to the to-be-migrated service data and a to-be-migrated temporary file; migrating the to-be-migrated temporary file to a target system, so that the target system writes the to-be-migrated temporary file into a database file when a check result of the to-be-migrated temporary file meets data uniqueness. According to the application, the migration detail file and the to-be-migrated temporary file are allocated, data is automatically uploaded and partition processing is performed, the to-be-migrated temporary file is written into the database file only after data uniqueness is verified when the target system receives the to-be-migrated temporary file, data safety and integrity are ensured, migration data in a shutdown state is avoided, and the data migration efficiency is improved.

The present disclosure relates to the technical field of database, and particularly relates to a multi-table association query method, device, storage medium and program product. The method determines the record position of the matching data of the connection field when performing a merge connection on the corresponding data table based on each group of equivalent connection relationships, instead of directly generating and transferring complete intermediate data; and subsequently, the target data is read and the final query result is generated according to the located record position, without landing, reading and writing disk temporary files throughout the process, so that the read-write amplification problem caused by multiple disk interactions is avoided from the root, the system I / O resource consumption is reduced, and the overall execution efficiency of the multi-table association query is effectively improved.

The invention discloses a cross-platform PDF exporting method and system based on dynamic layout analysis, and belongs to the technical field of data processing.The method comprises the steps that a configuration file used for achieving a PDF exporting task is constructed according to real-time hardware parameters and exporting requirements of an exporting system; extracting static attributes and dynamic interaction information of a cross-platform application interface, and constructing a layout information tree of the interface; according to the configuration file, generating a resource allocation strategy by allocating data processing resources; and based on the resource allocation strategy and the PDF document object, reading data from the interface to obtain a temporary PDF file, carrying out adaptability adjustment and compliance repair, and exporting a final PDF document. Therefore, by implementing the method and the device, the problems that the document export rate is low and the obtained PDF file cannot accurately restore the interface layout due to the fact that the current layout of the interface cannot be accurately captured and the data processing resource distribution is unreasonable in the prior art can be solved.

The invention provides a data processing method of a column storage database and a related product. The data processing method comprises the following steps: creating a temporary file based on a row storage structure in a disk; batch data based on the column storage structure is obtained, the batch data comprises multi-row and multi-column data, and the batch data is an intermediate result obtained in the process that the column storage database carries out set operation based on the Hash strategy; and writing the batch data into the temporary file column by column. According to the data processing method of the column storage database, a cache mechanism of column storage is fully utilized, the number of operation times of switching buffer area data in the disk falling process of the intermediate data of the set operation based on the Hash strategy is greatly reduced, the disk falling performance of the intermediate data of the set operation based on the Hash strategy is improved, and the data processing efficiency of the column storage database is improved. And the effect of improving the overall performance of the database system is achieved.

The invention discloses an HTTP request scheduling method and system, and the scheduling method comprises the steps: building a global request scheduler independent of a page instance in a JavaScript engine of an embedded device, and carrying out the centralized management of the HTTP request life cycle. And responding to a script layer request to generate a request description block capable of selectively carrying a page handle, adding the request description block into a message queue and processing according to a scheduling strategy. And when the request is completed, the native layer checks the validity of the page handle, and callback is executed only when the page handle is valid, so that wild pointers and system crash caused by transmitting data to the released page are avoided. And for the downloading request, the scheduler calls a power-off continuous transmission interface, and the downloading progress is automatically recovered according to the temporary file after the equipment is reset, so that the reliability of big data transmission is ensured. According to the method, the request and the page life cycle are decoupled, the problem of interruption and loss caused by page closing is solved, and the system stability and efficiency are remarkably improved.

The invention provides a data processing method of a column storage database and a related product. The data processing method comprises the following steps: performing a hash strategy-based set operation on a column storage database to obtain an intermediate result; under the condition that the capacity of the intermediate result exceeds a preset memory threshold value, creating a temporary file based on a line storage structure in a disk; variable-length data columns are obtained from the intermediate result column by column, each variable-length data column comprises multiple rows of variable-length data, and each row of variable-length data comprises a data length value, a data numerical value and a flag bit; performing data recombination on each row of variable-length data in the obtained variable-length data column so as to reduce the data length of the variable-length data; and writing the variable-length data column after data recombination into a temporary file. According to the data processing method, the data length of the variable-length data is reduced, the space occupation of the variable-length data column of the intermediate result of the set operation based on the Hash strategy during disk falling is reduced, and the disk falling performance of the system is improved.

The invention discloses a task security execution system and method based on autonomous planning and risk adaptation, and relates to the technical field of artificial intelligence application, and the system comprises an agent scheduling module which is used for receiving a user demand instruction, carrying out semantic analysis and task planning in an initial sandbox, and generating a structured subtask sequence; the risk strategy self-adaption module is used for carrying out risk assessment based on the subtask sequence and creating a target sandbox based on the risk strategy mapping table and the initial sandbox; the tool calling and task execution module is used for calling corresponding tool services in sequence in the target sandbox, outputting a final sub-task execution result after the tool services are completed or stopped, and generating a corresponding task operation record; and the result output and sandbox recovery module is used for acquiring a corresponding final subtask execution result, sending the result to a user side, uploading a task operation record to a log system, recovering a target sandbox and deleting all temporary files. And autonomous decomposition and safe and efficient execution of complex tasks are realized.

A system and a method for creating and managing a data base of temporary files includes: an input device operated by a user; a processor and a non-transitory storage device operatively coupled for communication with the input device; and a temporary file number application stored in the storage device. The application causes the processor to: receive a temporary number request from the input device; set a time period; generate a temporary number that expires at an end of the time period; store the temporary number and the time period as a temporary file in a data base in the storage device and associate the temporary file with an account number of the user; and send an expiration message to the user before the end of the time period identifying the temporary number and the time period. The temporary number can be a virtual payment card temporary account number.

The specification provides a temporary file management method and device, electronic equipment and storage medium, which comprises: allocating a memory temporary page to a temporary file to be stored, and writing data of the temporary file into the memory temporary page, wherein the space in the memory of the database for storing temporary files is divided into a plurality of memory temporary pages, and each memory temporary page has an identifier; whenever a memory temporary page is written by the data of the temporary file to a remaining capacity less than a first threshold, a new memory temporary page is allocated to the temporary file, the identifier of the new memory temporary page is recorded in the memory temporary page with a remaining capacity less than the first threshold, and the data of the temporary file is continuously written into the new memory temporary page; and if the data of the temporary file is completely written into the memory, the identifier of at least one memory temporary page storing the temporary file is recorded in the memory.

The application provides a flow-based combinable cryptography command line implementation method and system, and relates to the technical field of cryptography command line tools. By abstracting symmetric encryption and decryption, authentication encryption and other cryptographic operations into unified flow contract stream processing operators, which are freely combined in series through Unix pipes; by uniformly packaging single / multiple packet cryptographic operations as a stream interface and automatically managing the life cycle of multiple packet sessions; by asynchronously processing input streams in blocks, built-in format transparent conversion, and multiple TCP connection concurrency for efficiency improvement, a remote non-native composite cryptographic process can be implemented in combination, the dependence on temporary files is eliminated, the delay is reduced, the memory occupation is constant, and the advantages of low delay, low memory and seamless combination are achieved.

The invention provides a file transmission method and device, equipment, a medium and a program product, which can be applied to the technical field of distributed or cloud computing. The method comprises the following steps: in response to a data file generated by a file generation end, initiating transmission of the data file to a file receiving end through a target special line; in the transmission process, the data file is transmitted based on a high-availability architecture, the state in the transmission process is monitored, and the high-availability architecture comprises a transmission server deployed in a cluster and at least one standby special line; when a first abnormal state related to the current transmission server and / or a second abnormal state related to the target special line are / is monitored, the transmission task is automatically switched to other transmission servers in the cluster and / or switched to a standby special line; and transmitting the data file to a file receiving end in the form of a temporary file, and renaming the temporary file into a target file name through a target instruction after determining that the data file is completely transmitted.

The application discloses a Flink-based unstructured file transmission method and system. The method comprises the following steps: reading a file from object storage and encapsulating the file into a data object through a self-defined Source operator; splitting the data object into a data block stream containing block serial numbers through a flatMap operator; grouping the data block stream based on a file name keyBy, so that data blocks of the same file are routed to the same task instance; initializing an expected block serial number, an out-of-order block cache, a completion flag and a temporary file path through a KeyedProcessFunction, sequentially writing a local temporary file and processing out-of-order blocks, uploading the temporary file to a target object storage after completion, and cleaning up the state. The application fully utilizes the distributed parallel capability and state management mechanism of Flink, realizes efficient parallel transmission, out-of-order recombination, integrity check and breakpoint resume of unstructured files, simplifies the integration with a Flink stream batch integrated architecture, and improves transmission efficiency and reliability.

The invention discloses a warehouse-level full-quantity code auditing method and device, and the method comprises the following steps: downloading a target warehouse from a code hosting platform to the local; scanning and identifying source code files, segmenting each file into a plurality of code fragments based on an abstract syntax tree, and generating metadata containing information such as paths, languages, structures and the like; converting the code snippets into vector representations through a vector model, and storing the vector representations into a vector database; constructing an examination chain and a summary chain based on a large language model, wherein the examination chain and the summary chain are respectively used for multi-dimensionally examining a single fragment and summarizing to generate a warehouse-level report; during auditing, establishing a symbol index and calling relation graph based on metadata, and inputting an auditing chain for each fragment in combination with a calling context and a semantic similar context of the fragment; and finally, summarizing all results to generate a report and cleaning temporary files. According to the method, full-amount deep review is realized, model limitation is broken through by combining code slicing and context, the code quality is comprehensively controlled, and the review efficiency is improved.

The invention relates to the field of chip verification, in particular to a novel chip verification automatic regression method and a program product. The method comprises the following steps: reading a regression case list, simulation configuration and compiling rules; creating a plurality of directories which are respectively used for storing different types of record files; according to the content of the regression case list, reading the content of each regression case in sequence; according to the content of each regression case, reading and executing the corresponding file; and when all the regression cases in the regression case list are executed, recording information of all the regression cases in a total log file. The method has the beneficial effect that the efficiency and the reliability of the chip verification regression stage are remarkably improved. The temporary files are automatically classified and stored, and a clear directory structure is established, so that the consulting and management of logs and results are greatly facilitated.

The application relates to a building intelligent control system and a control method thereof; wherein, based on the building intelligent control system, after one or more devices establish connections with corresponding master containers based on a first protocol, the master containers are used for performing preset logical control tasks based on built-in virtual controllers to control the one or more devices; a resource management unit is used for storing intermediate data generated in a task execution process in a temporary file in a shared path; in the case that the master container fails, a container management unit is used for switching the connection of the one or more devices to a corresponding backup container, and controlling the backup container to read the intermediate data from the temporary file, so that the logical running state of the backup container is the logical running state of the master container when the failure occurs. Through the application, the problem that the building intelligent control system architecture usually adopts centralized or monolithic design in the prior art, leading to poor availability of the building intelligent control system when the building intelligent control system is abnormal, is solved.

The invention relates to a chip testing method and device and computer equipment. The method comprises the following steps: performing a chip test based on a test thread to obtain test data; storing the test data into a temporary file based on a test thread, and continuing to execute the next chip test after the test data is written; and writing the test data in the temporary file into a target file based on a data writing thread, the test thread and the data writing thread being parallel threads. By adopting the method, the test efficiency can be improved.

The invention provides a data lake table concurrent writing method and device, and belongs to the technical field of computers.The method comprises the steps that writing channels are dynamically selected according to the number of active writers of a target partition; for a write-in request entering a controlled concurrent write-in channel, the version number of a current partition is obtained firstly, data is written into a temporary storage area marked with the version number and a timestamp, and then the version number is tried to be increased progressively through atomic comparison exchange operation to submit the data; if the atomic comparison exchange operation fails, triggering an automatic retry mechanism, if retry succeeds, marking the corresponding data as a mergeable state, and if retry fails, transferring the data into an asynchronous repair channel; and dynamically triggering a merging task according to the number of the temporary files and a system load index, merging data in the temporary files according to a version number sequence, and atomically updating a main data version. According to the method, the problem of data consistency of single-partition concurrent writing is solved, and automatic switching and zero manual intervention of a dynamic routing mechanism can be realized.

The invention discloses a test data generation method and device and a storage medium, and relates to the technical field of test data generation, the test data generation method comprises the following steps: identifying a test scene corresponding to a demand document through a data generation scene cue word to obtain a plurality of temporary files; calling a pre-trained agent to process the temporary file, and generating a plurality of data creation tasks; and processing the data creation task according to a business data search result of the test scene corresponding to the data creation task in the knowledge base, and generating test data. Therefore, the technical problem that the quality of the generated picture test data is poor due to model illusion is solved, and the technical effect of improving the quality of the test data is achieved.

This invention discloses a workshop production scheduling method and system based on deep reinforcement learning and multimodal multi-objective computation. The method includes the following steps: obtaining a population size N, an objective function, and a maximum number of iterations; randomly generating an initial population based on the population size and the objective function, defining the state of the initial population, and constructing a deep Q-network; setting a counter and comparing the counter with a stagnation check period; adaptively selecting operators for the initial population using the deep Q-network to generate a child population; generating three temporary files based on the child population and merging them to obtain a merged file; performing environment selection on the merged file to obtain a new population and calculating state-reward pairs; updating the deep Q-network every 50 iterations based on the state-reward pairs; re-comparing the counter with the stagnation check period, and outputting the scheduling result if the counter reaches the stagnation check period.

According to one embodiment, a computer-implemented method for creating a backup copy of a deleted file based on a previous backup copy of the file to be deleted includes creating a deleted dataset record associated with the file in association with deletion of the file, where the file includes a file dataset. The file dataset is removed from a directory containing the file dataset. The method includes releasing a physical space associated with the file dataset, and extracting a file from the most recent backup copy and writing the file to a temporary file in a predefined pool space. A file-level backup copy of the temporary file is created based on the deleted data set record, and the temporary file and the deleted data set record are deleted.

The invention discloses a hot patch file generation method and device of an application program, equipment and a medium, and belongs to the technical field of software development. Acquiring a software source code packet and a patch source code file of the application program; the software source code packet comprises a construction description file of the application program; generating a patch code position table according to the patch source code file; determining a compiling framework type of the application program according to the construction description file, and determining an instrumentation program corresponding to the application program according to the compiling framework type; compiling an instrumentation program corresponding to the application program, and generating an intermediate temporary file according to a compiling path of the instrumentation program and the patch code position table; after the instrumentation program is compiled, generating a hot patch file of the application program according to the intermediate temporary file; after the security vulnerability is found, the hot patch file can be quickly generated based on the patch source code, the whole application program does not need to be recompiled or the service does not need to be restarted, the vulnerability exposure window period is effectively shortened, and the system security and the service continuity are improved.