6results about How to "Improve reading and writing efficiency" patented technology

A massive telemetering data characteristic value processing method based on time fragmentation and double compression comprises the following steps: receiving satellite telemetering original stream data in real time, performing formatting analysis, extracting a baseband timestamp, a telemetering code and an engineering value field, and generating a standardized telemetering engineering value frame; fragmenting the telemetering engineering value frame based on a timestamp, determining a triple composed of the timestamp, a date to which the timestamp belongs and a telemetering code as a storage sub-partition key, and dynamically allocating data to a corresponding storage partition according to the key for storage in a disk; carrying out historical archiving on the stored telemetering engineering value frames by adopting double-compression processing; constructing a shared bulletin board task model, and registering all to-be-calculated feature tasks to a shared bulletin board queue by taking a combination of a telemetering code, a processing time slice and a processing identifier as a bulletin board key value; and the thread pool obtains task entries in the shared bulletin board queue in parallel based on a shared lock queue mechanism, and reads satellite telemetering point information from the shared memory.

This invention discloses a controller and control method for SRAM erase protection verification in an MCU architecture, belonging to the field of memory technology. This invention solves the problem that existing devices cannot simultaneously include multiple functions. By employing an SRAM erase protection verification device, write protection can be configured for each page individually, achieving write protection for SRAM data. The entire SRAM data is erased, and after erasure, write protection and data verification functions continue to be executed, improving read / write efficiency. Furthermore, SRAM data can be verified. When the SRAM controller reads any address, it latches that address and pulls up the read verification flag for that address. Then, an even-number verification is performed on the byte with the verification bit and the latched address. If the verification result is low, the verification passes; otherwise, it indicates a data error, and the error verification result is fed back to the system, thereby meeting the high requirements of the system for the SRAM controller.

The invention discloses a method for effectively improving read-write efficiency and concurrency of small file use storage, which comprises the following steps of: merging a plurality of small files in storage, and packaging the plurality of small files into a storage block; adjusting a read-write scheduling algorithm according to the access mode of the file to ensure that the frequently accessed file is preferentially loaded; and a lock mechanism and read-write priority control are introduced to realize concurrency control, so that data conflicts cannot be generated during concurrent access of multiple threads or processes to small files, and meanwhile, the concurrency capability is maximized. According to the method, storage fragments are reduced by combining the small files, the scheduling algorithm is optimized, the access response speed is increased, concurrency is controlled, data conflicts are avoided, the read-write efficiency and concurrent processing capacity of small file storage are effectively improved, and the method is suitable for small file intensive storage scenes.

This specification provides a transaction processing method and apparatus for use in a database management terminal, which manages relational databases. The transaction processing method includes: determining a target transaction based on the database logs of the relational database; determining the data file corresponding to the target transaction in the relational database and the memory object corresponding to the target transaction in memory space; establishing a mapping relationship between the target transaction, the memory object, and the data file, and storing data from the data file into a memory block contained in the memory object based on the mapping relationship; wherein the memory blocks storing the data constitute a storage link; and reading the target data corresponding to the target transaction from the memory block contained in the memory object based on the storage link, for executing the target transaction. Storing data based on the mapping relationship achieves ordered data writing, avoiding the performance overhead of random writes; and reduces the number of bytes read during data reading, improving data reading efficiency.

A persistent storage method for consensus data is applied to any consensus node participating in consensus in a blockchain system. The process address space of the consensus process running on the consensus node includes a reserved mapping region. A one-to-one mapping relationship is established between the virtual memory address in the mapping region and the physical storage address in the non-volatile physical storage space on the consensus node used for persistent storage of consensus data. The method includes: acquiring consensus data generated by the consensus process during the execution of the consensus protocol; persistently storing the consensus data in the mapping region; and, in response to the consensus data being successfully written to the mapping region, determining the physical storage address that has established a mapping relationship with the virtual memory address of the consensus data in the mapping region, and further writing the consensus data back to the physical storage space based on the physical storage address.

The invention relates to a data management method and device, a storage medium and a computer program product. The data management method comprises the steps that a process tree structure is adopted to store optimized process data, an optimized process is an optimized process of multidisciplinary optimization, the process tree structure comprises process nodes and application nodes, the process nodes are used for storing scheduling program data of the optimized process, and the application nodes are used for storing application information; and generating a historical data table of the optimization process according to the process tree structure to store historical data of the optimization process. According to the method and the device, the huge historical data of the multidisciplinary optimization process can be efficiently organized and managed, so that the storage space is reduced, and the read-write efficiency is improved.