Distributed storage addressing and retrieval optimization method for financial multi-dimensional node data

Abstract

The application relates to the technical field of data storage retrieval, and discloses a distributed storage addressing and retrieval optimization method for financial multi-dimensional node data, which comprises the following steps: generating an initial feature vector by serializing financial multi-dimensional node metadata; matching a prime number weight sequence according to a fiscal account period benchmark and weighting and mapping the initial feature vector to generate an addressing offset; calling a direct memory access channel of a memory controller to divide a continuous linear space in a cache as a physical idle degree bitmap resident register area; and selecting a variable step addressing or resetting path according to a comparison result of an occupied state indicated by a bitmap and a bus delay, determining a target storage block physical number, and writing the target storage block physical number into a hardware register. The application eliminates index space voids, reduces storage overhead, shortens an addressing instruction flow conversion path, decouples high-load lock competition, and improves storage addressing efficiency and time delay stability.

Description

Technical Field

[0001] This invention belongs to the field of data storage and retrieval technology, and in particular relates to a distributed storage addressing and retrieval optimization method for multi-dimensional financial node data. Background Technology

[0002] Currently, in the design of distributed data management and data storage architecture, for block-level striped data with multiple correlation characteristics, cascaded index trees or cascaded hash tables are usually used to construct a global mapping topology to achieve discrete location and read / write management of physical flash sector addresses. The latency stability of the storage medium bus directly limits the assembly efficiency of low-level read / write instruction streams. The physical arrangement of data blocks often follows the principle of continuity of fixed logical block address space so that the central processing unit can write data in batches to a homogeneous contiguous storage area through the direct memory access channel of the memory controller.

[0003] When processing multi-dimensional structural nodes with discrete characteristics, conventional storage engines face the architectural challenge of converting broadly discrete, non-continuous feature vectors into a one-dimensional address space under high-concurrency conditions. Traditional methods such as concatenating composite keys or traversing tree-like nodes through step-by-step paging not only lead to frequent memory page splits and storage rack space expansion, but also cause lock spin waits and random input / output addressing latency fluctuations on the address bus. Linear expansion methods relying on hardware redundancy are prone to triggering secondary bus overhead caused by high-frequency synchronization of cross-node metadata. Strategies such as expanding the cache resident area or increasing the physical hardware scale of distributed storage nodes cannot eliminate the inherent contradiction between the sparse and fragmented characteristics of multi-dimensional data and the continuous space allocation of physical flash memory chips under high-concurrency conditions. The risk of long-tail congestion remains to accumulate. For example, Chinese invention patent application CN120430878A discloses a unified management system and method for enterprise financial documents based on distributed storage. It utilizes metadata vectorization encapsulation, semantic dual-channel parsing, and quantum annealing to optimize query paths. This solution focuses on semantic association modeling at the application level and relies on generative adversarial networks and reinforcement learning heavy computational models. The high-complexity control logic faces physical resource mismatch in actual deployment: in sub-millisecond-level underlying storage addressing, the high feature derivation overhead and model inference latency exceed the bus bandwidth carrying limit. The technical solution does not penetrate to the physical addressing depth of the storage controller. In the face of high-concurrency sparse addressing pulses, it does not solve the problems of bus-level lock spin wait and physical sector logic gaps.

[0004] Therefore, the technical problem to be solved by this invention is how to achieve the assembly of low-level addressing logic instruction streams for the controller through address space dimensionality reduction topology and elastic conflict space avoidance mechanism, while ensuring the physical continuity of the storage structure and suppressing high-concurrency random addressing latency fluctuations. Summary of the Invention

[0005] This invention aims to solve the problems of space expansion and random input / output addressing delay fluctuations caused by the layer-by-layer traversal of conventional cascading indexes under high-concurrency sparse node flow burst conditions.

[0006] This invention provides a distributed storage addressing and retrieval optimization method for multi-dimensional financial node data. The technical solution includes the following steps:

[0007] Step S101: Serialize the financial multidimensional node metadata to generate an initial feature vector, match the prime number weight sequence according to the financial accounting period benchmark and weight map the initial feature vector to generate the address offset.

[0008] Step S102: Call the memory controller direct memory access channel to divide a continuous linear space in the cache as a physical free space bitmap resident register area. The bits in the physical free space bitmap are mapped to the logical page address of the physical flash memory chip.

[0009] Step S103: Monitor the concurrent time delay of the physical addressing bus. When the physical idle bitmap indicates that the target logical page is occupied, compare the current concurrent time delay with the set time threshold. When the current concurrent time delay is lower than the set time threshold, accumulate the discrete increment of the collision counter and perform addressing step by linear variable step. When the current concurrent time delay is not lower than the set time threshold, calculate the nonlinear deviation compensation step based on the real-time bus delay ratio, and use the nonlinear deviation compensation step to reset the target image area of ​​the addressing instruction to the spare physical stripe area.

[0010] Step S104: Generate low-level physical addressing logic instructions based on the addressing correction results and write them into the hardware register. Locate the target physical sector through the physical flash memory controller and read the financial multi-dimensional node data.

[0011] Preferably, in step S102, dividing a continuous linear space within the cache as a resident register area for the physical free space bitmap includes: allocating a continuous linear space of size 16MB within the cache for the physical storage partition as a resident register area for the physical free space bitmap; the bits in the physical free space bitmap are mapped to the logical page addresses of the physical flash memory chip, including: the bits in the physical free space bitmap are uniquely mapped to the logical page addresses of size 4KB in the physical flash memory chip.

[0012] Preferably, step S101, which serializes the financial multidimensional node metadata to generate an initial feature vector, includes: extracting the payment period identifier, account code, and organizational structure code of the financial multidimensional node; and performing serial concatenation processing on the payment period identifier, account code, and organizational structure code to generate an initial feature vector.

[0013] Preferably, step S101, which involves matching a prime number weight sequence based on the fiscal period benchmark and weighting and mapping the initial feature vector, includes: reading the combination of the fiscal period year and month to which the current multidimensional financial ledger belongs as the matching benchmark, retrieving the coprime number product factors corresponding to the matching benchmark from a preset set of coprime prime numbers, and assembling them into a prime number weight sequence in sequence.

[0014] Preferably, step S103, which involves accumulating the discrete increment of the collision counter and performing addressing stepping with a linear variable step size, includes: step S1031, initializing the collision counter, and accumulating a fixed constant step size as a discrete increment when the logical page address of the current addressing image is in an occupied state as indicated by the physical idleness bitmap; step S1032, performing a linear product operation between the current value of the collision counter and the stepping span of the basic bitmap to generate a linear variable step size for the current cycle; and step S1033, accumulating and updating the current addressing offset using the linear variable step size, and retrieving the updated addressing position's idle state from the physical idleness bitmap.

[0015] Preferably, in step S103, the addressing instruction target image region is reset to the spare physical stripe area using a nonlinear deviation compensation step size, which includes: adding the calculated nonlinear deviation compensation step size to the current addressing offset, so that the image address of the addressing instruction crosses the current physical stripe where lock contention occurs, and smoothly resets to the unallocated physical sector in the pre-divided spare physical stripe area in the physical flash memory chip.

[0016] Preferably, after step S104, the method further includes the following steps: step S105, continuously monitoring the average conflict correction distance generated by the linear variable step size stepping and the reset direction to the spare physical strip area; step S106, when the average conflict correction distance is greater than the preset critical threshold of 3.5, updating the component weights of the prime number weight sequence, and re-physical mapping the financial multidimensional node data, and recalibrating the physical storage reference address of the financial multidimensional node data.

[0017] Preferably, after step S106, the following steps are also included: step S107, calling the pre-heuristic screening process to verify the audit bit identifier in the initial feature vector; step S108, when it is determined that the audit bit identifier is a preset invalid data identifier, the address pointer is directed to the rest buffer and the expansion of the physical idle bitmap is prohibited.

[0018] Preferably, in step S104, generating low-level physical addressing logic instructions based on the addressing correction result and writing them into the hardware register includes: binding the physical free space bitmap pointer of the resident storage partition in the cache with the concurrent time delay monitoring status of the physical addressing bus, assembling and generating low-level physical addressing logic instructions, and using the bus write cycle to write the low-level physical addressing logic instructions into the hardware register of the storage controller.

[0019] Compared with existing technologies, the distributed storage addressing and retrieval optimization method for multi-dimensional financial node data of this invention has the following advantages:

[0020] 1. In distributed storage addressing for multi-dimensional financial node data, by binding specific accounting period benchmarks with prime number weight sequences in topology rules, the initial feature vector of fixed dimensions extracted from the time identifier, account code, and organizational structure code of multi-dimensional node access instructions is directly calculated in the linear one-dimensional logical block address space through dot product projective transformation. This direct data topology dimension reduction transformation bypasses the traditional composite key concatenation and multi-level balanced tree arrangement mechanism, enabling high-dimensional and sparse attribute data to be directly converted into compactly arranged one-dimensional logical address units. This eliminates physical sector logical holes in the storage medium caused by dimensional holes and periodic gaps in traditional cascaded indexes, and curbs logical page splitting and physical address reconstruction caused by frequent allocation of new pages during batch writing, thereby reducing the index space expansion rate of the distributed storage engine base and maintaining the physical compactness of the file structure.

[0021] 2. The initial logical block number generated by dot product projective transformation and the physical number of the target storage block confirmed by collision arbitration are used together with the time stamp component in the initial feature vector as XOR operation input. The low-level physical addressing logic instruction directly faces the physical flash controller by high-bit interleaving XOR splicing method. The physical addressing logic instruction is written into the hardware register of the storage controller. This directly drives the physical probe of the distributed storage medium to address the target physical sector with variable step size. This breaks the causal chain of traditional technical routes that rely on cascading tree structure page swapping or full distributed key-value hash lookup. It enables the low-level storage read or write instructions to have a direct addressing path with constant complexity, eliminating the loss of bus bandwidth caused by large-scale random reads across cycles. It maintains high throughput physical storage response efficiency under continuous high-concurrency data read and retrieval conditions.

[0022] 3. By binding the physical free space bitmap pointer of the resident storage partition in the cache with the concurrent time latency monitoring mechanism of the physical addressing bus, when the bitmap status indicates that the target physical page is occupied, the arbitration path is switched according to the comparison result of the current concurrent time latency and the set time threshold. When the latency is lower than the threshold, the collision counter is incremented to achieve linear variable step size stepping. When high concurrency preemption causes the latency to exceed the threshold, the nonlinear deviation compensation step size is calculated by the real-time bus latency ratio. The nonlinear deviation compensation step size is used to smoothly drift the target image area of ​​the addressing instruction to the spare physical stripe area. The traditional rigid lock spin wait is transformed into elastic physical space avoidance, decoupling the memory lock contention under high load settlement state, avoiding system deadlock and long tail blocking caused by large-scale instruction suspension of the storage engine, and ensuring the stability of the physical storage addressing cycle under complex conditions. Attached Figure Description

[0023] Figure 1 This is a flowchart of the distributed storage addressing method for multi-dimensional financial node data of the present invention;

[0024] Figure 2 This is a schematic diagram of the hardware image architecture of the distributed storage engine of this invention. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0026] A distributed storage addressing and retrieval optimization method for multi-dimensional financial node data includes the following steps:

[0027] Step S101: Serialize the financial multidimensional node metadata to generate an initial feature vector, match the prime number weight sequence according to the financial accounting period benchmark and weight map the initial feature vector to generate the address offset.

[0028] Step S102: Call the memory controller direct memory access channel to divide a continuous linear space in the cache as a physical free space bitmap resident register area. The bits in the physical free space bitmap are mapped to the logical page address of the physical flash memory chip.

[0029] Step S103: Monitor the concurrent time delay of the physical addressing bus. When the physical idle bitmap indicates that the target logical page is occupied, compare the current concurrent time delay with the set time threshold. When the current concurrent time delay is lower than the set time threshold, accumulate the discrete increment of the collision counter and perform addressing step by linear variable step. When the current concurrent time delay is not lower than the set time threshold, calculate the nonlinear deviation compensation step based on the real-time bus delay ratio, and use the nonlinear deviation compensation step to reset the target image area of ​​the addressing instruction to the spare physical stripe area.

[0030] Step S104: Generate low-level physical addressing logic instructions based on the addressing correction results and write them into the hardware register. Locate the target physical sector through the physical flash memory controller and read the financial multi-dimensional node data.

[0031] Preferably, in step S102, dividing a continuous linear space within the cache as a resident register area for the physical free space bitmap includes: allocating a continuous linear space of size 16MB within the cache for the physical storage partition as a resident register area for the physical free space bitmap; the bits in the physical free space bitmap are mapped to the logical page addresses of the physical flash memory chip, including: the bits in the physical free space bitmap are uniquely mapped to the logical page addresses of size 4KB in the physical flash memory chip.

[0032] Preferably, step S101, which serializes the financial multidimensional node metadata to generate an initial feature vector, includes: extracting the payment period identifier, account code, and organizational structure code of the financial multidimensional node; and performing serial concatenation processing on the payment period identifier, account code, and organizational structure code to generate an initial feature vector.

[0033] Preferably, step S101, which involves matching a prime number weight sequence based on the fiscal period benchmark and weighting and mapping the initial feature vector, includes: reading the combination of the fiscal period year and month to which the current multidimensional financial ledger belongs as the matching benchmark, retrieving the coprime number product factors corresponding to the matching benchmark from a preset set of coprime prime numbers, and assembling them into a prime number weight sequence in sequence.

[0034] Preferably, step S103, which involves accumulating the discrete increment of the collision counter and performing addressing stepping with a linear variable step size, includes: step S1031, initializing the collision counter, and accumulating a fixed constant step size as a discrete increment when the logical page address of the current addressing image is in an occupied state as indicated by the physical idleness bitmap; step S1032, performing a linear product operation between the current value of the collision counter and the stepping span of the basic bitmap to generate a linear variable step size for the current cycle; and step S1033, accumulating and updating the current addressing offset using the linear variable step size, and retrieving the updated addressing position's idle state from the physical idleness bitmap.

[0035] Preferably, in step S103, the addressing instruction target image region is reset to the spare physical stripe area using a nonlinear deviation compensation step size, which includes: adding the calculated nonlinear deviation compensation step size to the current addressing offset, so that the image address of the addressing instruction crosses the current physical stripe where lock contention occurs, and smoothly resets to the unallocated physical sector in the pre-divided spare physical stripe area in the physical flash memory chip.

[0036] Preferably, after step S104, the method further includes the following steps: step S105, continuously monitoring the average conflict correction distance generated by the linear variable step size stepping and the reset direction to the spare physical strip area; step S106, when the average conflict correction distance is greater than the preset critical threshold of 3.5, updating the component weights of the prime number weight sequence, and re-physical mapping the financial multidimensional node data, and recalibrating the physical storage reference address of the financial multidimensional node data.

[0037] Preferably, after step S106, the following steps are also included: step S107, calling the pre-heuristic screening process to verify the audit bit identifier in the initial feature vector; step S108, when it is determined that the audit bit identifier is a preset invalid data identifier, the address pointer is directed to the rest buffer and the expansion of the physical idle bitmap is prohibited.

[0038] Preferably, in step S104, generating low-level physical addressing logic instructions based on the addressing correction result and writing them into the hardware register includes: binding the physical free space bitmap pointer of the resident storage partition in the cache with the concurrent time delay monitoring status of the physical addressing bus, assembling and generating low-level physical addressing logic instructions, and using the bus write cycle to write the low-level physical addressing logic instructions into the hardware register of the storage controller.

[0039] Example 1: In the distributed financial system of a large-scale group enterprise, it is necessary to address the storage addressing challenges of multi-dimensional financial ledger nodes during cross-period merging and drill-down processes. When the system faces an application environment with high-frequency concurrent writes to massive financial nodes and a highly sparse distribution of logical page address space, the traditional layer-by-layer traversal mechanism based on cascaded index trees causes lock spin waits and random I / O addressing latency fluctuations at the storage controller. After the distributed storage engine obtains the access instructions for multi-dimensional financial node data, it parses the period time identifier, account code, and organizational structure code, and serially concatenates the above attributes to construct an initial feature vector of fixed dimensions. The system's preset storage partition topology rules store a sequence of coprime number weights that are tied to the fiscal accounting period benchmark. The processor performs a dot product projective transformation to calculate the initial logical block number in the one-dimensional logical block address space. Its calculation follows ,in, This represents the total number of feature dimensions in the initial feature vector. For the initial feature vector The Components of each dimension Prime weight sequence The product factor of coprime numbers corresponding to this component is a dimensionless weighting constant. This is the maximum logical block capacity constant allowed for the current physical storage partition.

[0040] The address control unit will initialize the logic block number. As a reference address pointer, the system reads the resident physical free space bitmap pointer in the cache. When this pointer indicates that the corresponding physical page is occupied, bit-level collision arbitration logic is triggered. The address bus monitors the concurrent time delay. If the delay does not exceed the 2μs threshold, the physical page collision counter is incremented to perform linear variable step size increments until the first free bit is locked in the bitmap, thereby determining the physical number of the target memory block. If the delay exceeds the 2μs threshold, it indicates that the memory register area is in the lock contention red zone. At this time, the system activates the anti-explosion offset logic and calculates the nonlinear deviation compensation step size. Using this compensation step size The target image region of the addressing instruction is offset to the spare physical stripe area to determine the physical number of the target memory block, with an offset compensation step size. satisfy ,in, The preset fixed physical offset step reference, The current concurrent time delay is used for data collection. As the standard bus response cycle constant, although the formula in this calculation is expressed as a linear relationship of first-order ratios, the concurrent time delay of the bus increases after the online addressing bus enters the lock contention red zone of write conflicts. As the concurrency preemption density increases, it exhibits a significant nonlinear exponential long-tail spike characteristic. Therefore, the deviation compensation step size calculated through delay ratio propagation is... In fact, it forms a highly nonlinear dynamic mapping and spatial avoidance relationship with the underlying concurrent access load, thereby realizing nonlinear adaptive deviation hedging for high-concurrency sparse addressing pulses under macroscopic operating conditions.

[0041] The storage controller receives the physical number of the target storage block and compares it with the initial feature vector. The time stamp in the memory is subjected to high-order interleaving XOR concatenation, which directly assembles and generates low-level physical addressing logic instructions for the physical flash memory controller. These instructions are then written into the controller's hardware registers, driving the storage probe of the physical flash memory chip to directly locate the corresponding target physical sector. This process eliminates the logical paging overhead and bus bandwidth occupation caused by multi-level index tree traversal. Financial multi-dimensional node data is delivered under a constant addressing path, achieving stable output of storage addressing I / O throughput under high concurrency conditions.

[0042] Example 2: To verify the physical performance stability of the addressing and retrieval optimization method, tests were conducted in a distributed key-value storage environment built from a general-purpose server cluster. The system allocated 16MB of continuous linear space in the cache for the physical storage partition as a resident register area for the physical free space bitmap. Each bit uniquely maps to a 4KB logical page address. The test conditions were set to the extreme concurrent load of the group's end-of-period closing, and the operating indicators of the traditional composite key cascade index technology and the addressing method were compared.

[0043] In a test sequence where the number of concurrent requests increased from 100,000 to 5 million, performance data was obtained by monitoring the average response latency and I / O blocking rate of the physical addressing bus. The test showed that when the number of concurrent threads reached 5 million, the traditional method was limited by logical page splitting and memory lock contention, resulting in an average addressing latency of 2410.8 μs and an I / O blocking rate of 67.21%. Using the method of this invention, the logical block number is directly locked through the projective transformation of the financial account period benchmark. Combined with the elastic avoidance mechanism of the physical idle degree bitmap, the average addressing latency is stabilized at 3.6 μs under the same load, and the I / O blocking rate is only 0.05%.

[0044] Monitoring shows that when the average conflict correction distance When the threshold of 3.5 is crossed, the processor automatically triggers the prime number weight sequence. The component weight update process performs in-situ erasure and re-physical mapping on the financial multidimensional node data within the affected physical stripe. This rebalancing mechanism ensures that the addressing logic instruction flow remains on the optimal direct mapping path even when the sparse form of the storage partition changes. In the specific execution of the component weight update process, the processor sequentially traverses the system's built-in static coprime prime number set table, retrieves the next set of adjacent primes whose values ​​are greater than the currently applied component value, and directly assembles them to cover the original component weights. This ensures that while the numerical scale of the updated sequence increases, the components maintain pairwise coprime number theory constraints. By actively increasing the transformation step span of the dot product projective transformation in the residual system space, the physical arrangement of the remapped multidimensional node data tends to be sparse, fundamentally breaking the aggregation conflict. The set of coprime primes satisfies the number theory set dispersion distribution law. Utilizing the coprimity between component weights, the cascaded feature vectors achieve the maximum discrete entropy distribution in the one-dimensional residual system space, evenly distributing the discrete storage addresses of financial nodes and averaging the conflict correction distance. The ratio of the actual sector span to the physical page size, representing the address offset deviation from the initial logical block number, is determined by statistical results from multiple sets of sample experiments. This value is based on the average conflict correction distance. A value greater than 3.5 indicates a clustering conflict within the storage partition, and the processor resolves this by incrementing the prime number weight sequence. The value of the coprime number component in the data was changed, and the step span of the dot product projective transformation was altered to make the physical arrangement of the remapped multidimensional node data sparser, thus restoring the smoothness of the addressing channel. Data comparison verified that under the extreme interference condition of a 500% surge in the concurrency of non-real business simulation data, the physical addressing retrieval throughput of core financial data did not degrade, confirming that the storage base has stability against the disruption of physical continuity.

[0045] Example 3: In a distributed storage environment for multi-dimensional financial node data, to address the issues of excessively long index paths and lock contention delays caused by the storage sparsity of multi-dimensional node data, the distributed storage engine establishes a physical addressing instruction pipeline based on direct memory access technology. During system initialization, the processor partitions a 16MB contiguous space within the system cache via the storage bus and constructs a physical free space bitmap. Each bit of this bitmap maps to the physical address of a 4KB logical page in the flash memory medium, achieving a direct conversion from logical addressing to physical sector location, bypassing the layer-by-layer retrieval overhead of traditional tree indexes. The system's cache controller receives the processor's cache line locking instruction, marking the cache line status corresponding to the 16MB contiguous space as locked, preventing the cache replacement algorithm from erasing data in that area. The memory controller's direct memory access channel receives flash partition occupancy status change signals and directly writes them to the locked cache lines, ensuring the physical free space bitmap remains resident in the cache.

[0046] When the distributed storage engine receives a write command for financial multidimensional node data, the processing unit parses the billing period identifier in the node metadata. Subject Code With organizational structure code Perform serialization and generate feature vectors. The processor is based on a preset memory partition weight sequence. ,Will Perform a dot product projective transformation to obtain a one-dimensional logical block address index. The calculation formula is as follows: ,in, The total number of feature dimensions of the feature vector. For feature vectors The Each dimension component For weighted sequences The corresponding coprime number components are dimensionless weighting constants. Given the total capacity of the logical block address space, in this mapping and addition mechanism, the total address space capacity constant serves as the denominator for modulo operations. The physical unit is explicitly defined as the number of sectors; therefore, the one-dimensional logical block address index calculated through dot product projective transformation and modular arithmetic is... Essentially, it has been transformed into an absolute address offset scalar value that uses physical sectors as the basic metric. This allows the deviation compensation step size, which is also calculated in terms of the number of sectors, to be directly arithmetically superimposed with the address index under the same physical dimensions and data scale. This ensures the mathematical logic closed loop of the control logic in the process of addressing and resetting the underlying flash physical sector.

[0047] During the addressing process, the addressing controller monitors the concurrent response time of the physical bus. The unit is μs. If If the time threshold is below 2μs, the system triggers the accumulator to perform a linear bitmap shift operation, searching for the next free bit in the physical freeness bitmap. This ensures a smooth, linear transition in addressing even at high storage densities. Once the time exceeds 2μs, the system immediately initiates nonlinear deviation compensation step size. To bypass the current lock contention hotspot, the nonlinear deviation compensation step size satisfies ,in, The preset physical offset step reference, For the current concurrency delay, The standard bus response period constant is used by the system according to... The calculated offset directs the addressing logic to the spare physical flash stripe. After receiving the low-level addressing command containing the coordinates of the target physical sector, the controller drives the storage probe to locate the physical medium and completes the direct delivery of data. Through this addressing logic, the I / O processing efficiency under high-frequency financial concurrent write conditions is maintained. Even in the extreme sparse and conflict state where the physical flash partition storage density exceeds 95%, the offset addressing mechanism calculated by the nonlinear deviation compensation step size still ensures that the average addressing latency fluctuation is controlled within the engineering threshold of 5μs.

[0048] Example 4: This example deploys the addressing and retrieval optimization method in a distributed key-value storage engine for direct addressing of multi-dimensional financial node data. The physical storage space allocation and mapping mechanism is as follows: The processor allocates 16MB of continuous linear space within the cache for each physical storage partition through the direct memory access channel of the memory controller. This space is defined as the resident register area of ​​the physical free space bitmap. Each bit in the physical free space bitmap maps to a 4KB logical page physical address within the physical flash memory chip. For high-concurrency financial settlement scenarios, the data addressing path is as follows: The processor extracts the metadata of the financial nodes and parses it to obtain the time stamp. Subject Code Organizational structure code Serialization generates initial feature vectors The system automatically matches prime number weight sequences based on the fiscal accounting period benchmark. Perform dot product projective transformation to calculate address offset The fiscal period benchmark matching process here is implemented through a static period mapping matrix pre-established in the non-volatile configuration area of ​​the storage controller. This static period mapping matrix uses the combination string of the year and month of the fiscal period as the unique retrieval index, and performs corresponding hard-coded binding mapping with multiple sets of prime number weight sequences that are pre-selected and stored from the complete set of number theory, with each component being pairwise coprime. During the addressing initialization phase, the system can immediately match and load the prime number weight sequence that fits the characteristics of the current period by parsing the time identifier and directly retrieving the matrix.

[0049] Address offset The initial logical block number is determined by mapping the data to the logical block address space via modulo operation. When performing data writes, the processor monitors the physical address bus concurrency latency. When the physical idle bitmap indicates that the target logical page is occupied and the current concurrency time delay is... Below the set time threshold At that time, the processor drives the collision counter. Increment the address and perform linear variable-step addressing, i.e., the next search address. ,in, To preset the addressing step increment, when the physical number of the target memory block is determined... Then, the system compares it with the time stamp. Perform an XOR operation to assemble and generate physical addressing logic instructions for the physical flash memory controller. The processor will use low-level physical addressing logic instructions. The hardware registers of the storage controller are written to drive the physical probes of the distributed storage medium to perform variable-step addressing of the target physical sector and read financial multi-dimensional node data. The physical flash controller has an internal instruction decoding hardware unit that receives low-level physical addressing logic instructions from the hardware registers. Call the static storage mask to block low-level physical addressing logic instructions. With the time marker in the initial feature vector By applying a double XOR logic gate, the physical number of the target memory block can be recovered. The corresponding actual physical sector address; where the low-level physical addressing logic instructions are located. Time stamp Physical number of the target storage block All values ​​are dimensionless binary encoded hexadecimal values. The instruction decoding hardware unit outputs the real physical sector address to the row and column select lines of the physical flash memory chip, changes the address bus level, drives the storage probe to locate the target physical sector, and eliminates address out-of-bounds anomalies in the address instruction flow.

[0050] Example 5: Before business deployment, the distributed storage system constructs a physical performance benchmark model through an offline calibration process to support address optimization. During a continuous 3600-second write window, the storage controller monitors the throughput and bus response latency of different storage partitions under random and sequential load switching conditions. The system... Perform analysis of variance on a sample of concurrent accesses to determine the baseline threshold for a stable response. And the satisfy ,in, The total number of samples collected. For the first The actual response time for each concurrent request. Let be the arithmetic mean response time of the sample set. The response jitter correction coefficient is obtained by fitting data from the past 500 business cycles, when the online physical addressing bus latency... Exceed When the storage controller detects a performance anomaly, it initiates a deviation compensation step size adjustment. The calculation process is used to achieve adaptive adjustment of the physical addressing path.

[0051] Before entering the operational state, the distributed storage system performs preprocessing and parameter initialization calibration on the storage medium. The processor determines the remaining erase / write cycles based on the physical flash memory chips. Mean Time Between Failures Calculate the logical mapping priority weight coefficient for each physical sub-block. ,coefficient satisfy ,in, is the preset lifetime weighting factor, which is a dimensionless constant; This represents the theoretical maximum number of erase / write cycles for a flash memory cell, a dimensionless nominal value, based on the system... The numerical scale will Higher-priority physical sub-blocks are mapped as storage carriers for hot financial node data. This initialization process builds a load balancing mechanism for multi-dimensional financial node data at the underlying physical media level, avoiding local performance degradation caused by excessive addressing frequency in single physical sectors. Through this offline calibration and priority weight initialization process, the system maintains the physical distribution consistency of addressing paths on the distributed storage base.

[0052] The embodiments of this application have been described above with reference to the accompanying drawings. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. This application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit of this application and the scope of protection of this invention, and all of these forms are within the protection scope of this application.

Claims

1. A distributed storage addressing and retrieval optimization method for multi-dimensional financial node data, characterized in that, Includes the following steps: Step S101: Serialize the financial multidimensional node metadata to generate an initial feature vector, match the prime number weight sequence according to the financial accounting period benchmark and weight map the initial feature vector to generate the address offset. Step S102: Call the memory controller direct memory access channel to divide a continuous linear space in the cache as a physical free space bitmap resident register area. The bits in the physical free space bitmap are mapped to the logical page address of the physical flash memory chip. Step S103: Monitor the concurrent time delay of the physical addressing bus. When the physical idle bitmap indicates that the target logical page is occupied, compare the current concurrent time delay with the set time threshold. When the current concurrent time delay is lower than the set time threshold, accumulate the discrete increment of the collision counter and perform addressing step by linear variable step. When the current concurrent time delay is not lower than the set time threshold, calculate the nonlinear deviation compensation step based on the real-time bus delay ratio, and use the nonlinear deviation compensation step to reset the target image area of ​​the addressing instruction to the spare physical stripe area. Step S104: Generate low-level physical addressing logic instructions based on the addressing correction results and write them into the hardware register. Locate the target physical sector through the physical flash memory controller and read the financial multi-dimensional node data.

2. The distributed storage addressing and retrieval optimization method for multi-dimensional financial node data according to claim 1, characterized in that, Step S102 involves allocating a continuous linear space within the cache as a resident register area for the physical free space bitmap, including: allocating a continuous linear space of size 16MB within the cache for the physical storage partition as a resident register area for the physical free space bitmap; the bits in the physical free space bitmap are mapped to the logical page addresses of the physical flash memory chip, including: the bits in the physical free space bitmap are uniquely mapped to the logical page addresses of size 4KB in the physical flash memory chip.

3. The distributed storage addressing and retrieval optimization method for multi-dimensional financial node data according to claim 1, characterized in that, Step S101 involves serializing the metadata of the financial multidimensional nodes to generate an initial feature vector, including: extracting the payment period identifier, account code, and organizational structure code of the financial multidimensional nodes; and performing serial concatenation processing on the payment period identifier, account code, and organizational structure code to generate the initial feature vector.

4. The distributed storage addressing and retrieval optimization method for multi-dimensional financial node data according to claim 1, characterized in that, In step S101, the initial feature vector is mapped by matching the prime number weight sequence based on the fiscal period benchmark. This includes: reading the combination of fiscal period year and month to which the current multidimensional financial ledger belongs as the matching benchmark; retrieving the coprime prime number product factor corresponding to the matching benchmark from multiple preset sets of coprime prime numbers; and assembling them into a prime number weight sequence in sequence.

5. The distributed storage addressing and retrieval optimization method for multi-dimensional financial node data according to claim 1, characterized in that, Step S103, which involves accumulating the discrete increment of the collision counter and performing addressing stepping with a linear variable step size, includes: Step S1031, initializing the collision counter, and accumulating a fixed constant step size as a discrete increment when the logical page address of the current addressing image is in an occupied state as indicated by the physical idleness bitmap; Step S1032, performing a linear product operation between the current value of the collision counter and the stepping span of the basic bitmap to generate a linear variable step size for the current cycle; Step S1033, accumulating and updating the current addressing offset using the linear variable step size, and retrieving the updated addressing position's idle state from the physical idleness bitmap.

6. The distributed storage addressing and retrieval optimization method for multi-dimensional financial node data according to claim 1, characterized in that, In step S103, the nonlinear deviation compensation step size is used to reset the target image region of the addressing instruction to the spare physical stripe area. This includes: adding the calculated nonlinear deviation compensation step size to the current addressing offset, so that the image address of the addressing instruction crosses the current physical stripe where lock contention occurs, and smoothly resets it to the unallocated physical sector in the pre-divided spare physical stripe area in the physical flash memory chip.

7. The distributed storage addressing and retrieval optimization method for multi-dimensional financial node data according to claim 1, characterized in that, After step S104, the following steps are also included: Step S105, continuously monitor the average conflict correction distance generated by the linear variable step size stepping and the reset direction to the spare physical strip area; Step S106, when the average conflict correction distance is greater than the preset critical threshold of 3.5, update the component weights of the prime number weight sequence, and re-physical map the financial multidimensional node data, and recalibrate the physical storage reference address of the financial multidimensional node data.

8. The distributed storage addressing and retrieval optimization method for multi-dimensional financial node data according to claim 7, characterized in that, After step S106, the following steps are also included: Step S107, calling the pre-heuristic screening process to verify the audit bit identifier in the initial feature vector; Step S108, when it is determined that the audit bit identifier is a preset invalid data identifier, the address pointer is directed to the rest buffer and the expansion of the physical idle bitmap is prohibited.

9. The distributed storage addressing and retrieval optimization method for multi-dimensional financial node data according to claim 1, characterized in that, In step S104, generating low-level physical addressing logic instructions based on the addressing correction results and writing them into hardware registers includes: binding the physical free space bitmap pointer of the resident storage partition in the cache with the concurrent time delay monitoring status of the physical addressing bus, assembling and generating low-level physical addressing logic instructions, and using the bus write cycle to write the low-level physical addressing logic instructions into the hardware register of the storage controller.

Images