CN103106068A - Internet of things big data fast calibration method - Google Patents
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Abstract
The invention provides an internet of things big data fast calibration method which comprises a big file upload verification method and a big file download calibration method. The big file upload verification method comprises steps of carrying out segmentation preprocessing on big files, verifying a block file and joint nodes in a multithreading mode, uploading in a multithreading mode, forming verified files, uploading verified files and the like. The big file download calibration method comprises steps of downloading the verified files, downloading a block file in multithreading and complicated modes, verifying accuracy of the verified files in multithreading and complicated modes, combining the files, calibrating whole accuracy of the combination of the files and the like. The method is used for fast verifying the big data formed in the internet of things, and the bottleneck problem of speed of big file verification in the process of processing the big data in the internet of things is effectively solved.
Description
Technical field
The present invention relates to a kind of data processing method, the quick method of calibration of the large data of especially a kind of Internet of Things.
Background technology
In the epoch of Internet of Things high speed development, along with the universal of the equipment such as video monitoring and internet access, large data feature is further obvious.Industry is more for the distributed storage research of all types of data at present.But less at the data verification area research rarely has new breakthrough.Basically all take to utilize in the industry traditional MD5, CRC32, the mode of SHA1 scheduling algorithm to the direct verification of file.The thought of these algorithms is as follows:
(1) MD5: to the concise and to the point narration of MD5 algorithm can for: MD5 processes the information of input with 512 groupings, and each grouping is divided into again 16 32 seat groupings, after having passed through a series of processing, the output of algorithm is comprised of four 32 groupings, will will generate 128 hashed values after these four 32 packet concatenation.
(2) basic thought of CRC:CRC check code is to utilize uniform enconding theoretical, at transmitting terminal according to the k position binary code sequence that will transmit, produce picket code (being the CRC code) the r position that verification is used with certain rule, and be attached to the information back, consist of a new binary code sequence number and be total to (k+r) position, send at last.At receiving end, test according to the rule of following between information code and CRC code, to determine whether make mistakes in transmission.
(3) SHA:SHA is again Secure Hash Algorithm.SHA family algorithm has after SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512(four usually and claims SHA2), principle is similar with MD4, MD5.SHA can convert a maximum 2^64 position (2305843009213693952 byte) information the hashed value (summary info) of to a string 160 (20 bytes), is present most widely used HASH algorithm.
We can find out description by these algorithms, and these main flow file verification modes are all that raw data is changed into a continuous bit stream, then this bit stream are carried out iterative processing, calculate at last the result.This pattern need to be complete with whole large file download when processing larger Single document, and whole large file is processed according to continuous bit stream, can't verify while downloading.Required time and the space requirement of authenticating documents this moment is higher, and system overhead increases, and has had a strong impact on the processing speed that system downloads for big file uploading.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, propose the quick method of calibration of the large data of a kind of Internet of Things, comprise big file uploading verification method and large file download method of calibration.The big file uploading verification method forms a plurality of block files and joint node after large file is cut apart pre-service, then carries out multi-thread concurrent checking and multi-thread concurrent and uploads; Large file is downloaded method of calibration and is enabled multi-thread concurrent download block file to client, and the correctness of multi-thread concurrent checking block file, composition file, the whole correctness of terminal check combination of files.The technical solution used in the present invention is:
The quick method of calibration of the large data of a kind of Internet of Things comprises big file uploading verification method and large file download method of calibration;
Described big file uploading verification method specifically comprises the following steps:
Step 101, the large file storage of client call API;
Step 102, large file is cut apart pre-service, the size that comprises calculation document, calculate blocks of files number to be split, the data offset of each block file, nodes and the node side-play amount of block file joint joint node become a plurality of block files with large file division, and each block file is composed of corresponding sequence number; Thereby formation carve information;
Step 103, INIT block file verification thread pool, the thread of enabling respective amount according to block file number and joint nodes carries out concurrent checking, and wherein each block file and each joint node are verified separately, obtains the check information of each block file and each joint node; Can adopt MD5 checking or CRC32 to carry out verification to the concurrent checking of block file and joint node in this step.
Step 104, the distributed file system of client and storage server cluster connects, enable multithreading with the concurrent distributed file system that is uploaded to of a plurality of block files of above-mentioned formation, and record the memory location of each block file in distributed file system;
Step 105 is saved in the check information of above-mentioned large file division information, each block file and each joint node, each block file memory location in distributed file system in structured data file, forms authenticating documents;
Step 106 is uploaded the authenticating documents of formation in step 105 to server;
Described large file is downloaded method of calibration and is specifically comprised the following steps:
Step 201, the large file of client call is downloaded API;
Step 202 connects with the storage server cluster, and the large file name of downloading is as required searched corresponding authenticating documents with file ID, and downloads this authenticating documents;
Step 203, the size of the file of downloading is as required opened up corresponding storage space in the client disk, be used for storing large file;
Step 204, client is according to the memory location of each block file in distributed file system of recording in authenticating documents, enable multi-thread concurrent and download each block file to client, and verify the correctness of block file according to the check information multi-thread concurrent of each block file in authenticating documents;
Step 205 is according to the data offset composition file of the sequence number of block file and block file and be kept at client;
Step 206, the whole correctness of using at last articulation joint authentication mechanism verification file to make up; Client is verified the correctness of joint node according to the check information multi-thread concurrent of each the joint node that records in authenticating documents.
Advantage of the present invention: the present invention utilizes the multithreading treatment technology to walk abreast piecemeal checking of large data files, and authorization information is saved in structured data file, preserves together with the block file end of together uploading onto the server.Enable multi-thread concurrent during download and download block file, and the correctness of multi-thread concurrent checking block file.New file verification pattern can improve file verification speed greatly, effectively improves the large file verification speed of Internet of Things.This method clear layer, versatility is better, and is applied widely, the file verification fast and reliable.Efficiently solve the large file verification speed bottle-neck problem of the large Data processing of Internet of Things, promote the overall performance of distributed file system.
Description of drawings
Fig. 1 is big file uploading checking process flow diagram of the present invention.
Fig. 2 is that large file of the present invention is downloaded checking process figure.
Fig. 3 is articulation joint schematic diagram of the present invention.
Embodiment
The invention will be further described below in conjunction with concrete drawings and Examples.
According to technical scheme provided by the invention, the quick method of calibration of the large data of novel Internet of Things comprises big file uploading verification method and two parts of large file download method of calibration.The big file uploading verification method comprises that large file is cut apart pre-service, multithreading checking block file and joint node, multithreading to be uploaded, form authenticating documents, authenticating documents and the step such as upload.File download method of calibration comprises that download authenticating documents, multi-thread concurrent are downloaded block file, multi-thread concurrent is verified the steps such as whole correctness that correctness, composition file, the verification file of block file make up greatly.
The big file uploading verification method specifically comprises the following steps specifically as shown in Figure 1:
Step 101, the large file storage of client call API;
Step 102, large file is cut apart pre-service, the size that comprises calculation document, calculate blocks of files number to be split, the data offset of each block file, nodes and the node side-play amount of block file joint joint node (joint node) become a plurality of block files with large file division, and each block file is composed of corresponding sequence number; Thereby formation carve information;
Step 103, INIT block file verification thread pool, the thread of enabling respective amount according to block file number and joint nodes carries out concurrent checking, and wherein each block file and each joint node are verified separately, obtains the check information of each block file and each joint node; Can adopt MD5 checking or CRC32 to carry out verification to the concurrent checking of block file and joint node in this step.
Step 104, the distributed file system of client and storage server cluster connects, enable multithreading with the concurrent distributed file system that is uploaded to of a plurality of block files of above-mentioned formation, and record the memory location of each block file in distributed file system;
Step 105 is saved in the check information of above-mentioned large file division information, each block file and each joint node, each block file memory location in distributed file system in structured data file, forms authenticating documents;
Step 106 is uploaded the authenticating documents of formation in step 105 to server.
Large file is downloaded method of calibration as shown in Figure 2, specifically comprises the following steps:
Step 201, the large file of client call is downloaded API;
Step 202 connects with the storage server cluster, and the large file name of downloading is as required searched corresponding authenticating documents with file ID, and downloads this authenticating documents;
Step 203, the size of the file of downloading is as required opened up corresponding storage space in the client disk, be used for storing large file;
Step 204, client is according to the memory location of each block file in distributed file system of recording in authenticating documents, enable multi-thread concurrent and download each block file to client, and verify the correctness of block file according to the check information multi-thread concurrent of each block file in authenticating documents;
Step 205 is according to the data offset composition file of the sequence number of block file and block file and be kept at client;
Step 206, the whole correctness of using at last articulation joint authentication mechanism verification file to make up; To guarantee the correct combination between block file.Client is verified the correctness of joint node according to the check information multi-thread concurrent of each the joint node that records in authenticating documents.
As shown in Figure 3, the joint node is positioned at the position of file division, has comprised the partial data of previous block file and the partial data of an adjacent rear block file; If the side-play amount in two adjacent block file centre positions is P1, the size between P1+k and P1-k is that the data block of 2k has formed a joint node.Wherein the size of k requires to decide according to verifying speed requirement and accuracy rate.It is higher that verifying speed requires, and the value of k is less, and accuracy rate requires higher, the value of k larger (k must be less than half of piecemeal file size, otherwise can cause the waste of computing).It is the combination of order due to combination of files, (for example the IO buffering is not smooth for some mistakes, piece sequential combination mistake etc.) can cause large file part data " skew ", the checking of joint node can guarantee that each data block is on correct position, and the correctness of assurance piece order, simultaneously do not need again large file is carried out whole verification, so can obtain compromise between performance and verifying speed.
The quick method of calibration of the large data of above Internet of Things splits, verifies, downloads rear combination, the processing of verification again to large file.Suppose under traditional mode that downloading large file required time separately is T1, to large file directly the time of checking be T2, required T.T. is T1+T2, during without any parallel work-flow.After file division is the n piece, need to verify the file of original 1/n size for each, the proving time shortens.In the multi-core parallel concurrent processing procedure, (m≤n) can make the proving time level off to original T2/m to have supposed to open the Thread Count of m concurrent checking.In downloading checking procedure, in the block file that checking has been downloaded, also do not download other block file of completing and can download simultaneously.New verification mode is under the prerequisite that guarantees file integrality and correctness, significantly improved large file processing speed, promote the overall performance of the large data upload down load application of Internet of Things neighborhood system, efficiently solved the large file verification speed bottle-neck problem of the large Data processing of Internet of Things.
Claims (1)
1. the quick method of calibration of the large data of Internet of Things, is characterized in that: comprise big file uploading verification method and large file download method of calibration;
Described big file uploading verification method specifically comprises the following steps:
Step 101, the large file storage of client call API;
Step 102, large file is cut apart pre-service, the size that comprises calculation document, calculate blocks of files number to be split, the data offset of each block file, nodes and the node side-play amount of block file joint joint node become a plurality of block files with large file division, and each block file is composed of corresponding sequence number; Thereby formation carve information;
Step 103, INIT block file verification thread pool, the thread of enabling respective amount according to block file number and joint nodes carries out concurrent checking, and wherein each block file and each joint node are verified separately, obtains the check information of each block file and each joint node;
Step 104, the distributed file system of client and storage server cluster connects, enable multithreading with the concurrent distributed file system that is uploaded to of a plurality of block files of above-mentioned formation, and record the memory location of each block file in distributed file system;
Step 105 is saved in the check information of above-mentioned large file division information, each block file and each joint node, each block file memory location in distributed file system in structured data file, forms authenticating documents;
Step 106 is uploaded the authenticating documents of formation in step 105 to server;
Described large file is downloaded method of calibration and is specifically comprised the following steps:
Step 201, the large file of client call is downloaded API;
Step 202 connects with the storage server cluster, and the large file name of downloading is as required searched corresponding authenticating documents with file ID, and downloads this authenticating documents;
Step 203, the size of the file of downloading is as required opened up corresponding storage space in the client disk, be used for storing large file;
Step 204, client is according to the memory location of each block file in distributed file system of recording in authenticating documents, enable multi-thread concurrent and download each block file to client, and verify the correctness of block file according to the check information multi-thread concurrent of each block file in authenticating documents;
Step 205 is according to the data offset composition file of the sequence number of block file and block file and be kept at client;
Step 206, the whole correctness of using at last articulation joint authentication mechanism verification file to make up; Client is verified the correctness of joint node according to the check information multi-thread concurrent of each the joint node that records in authenticating documents.
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| WO2021052120A1 (en) * | 2019-09-20 | 2021-03-25 | 北京旷视科技有限公司 | Method and device for multiplied-speed analysis of offline video file |
| CN110708363A (en) * | 2019-09-20 | 2020-01-17 | 济南浪潮数据技术有限公司 | File transmission method, system, electronic equipment and storage medium |
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