WO2018165960A1 - Hash value-based e-commerce data processing system and method - Google Patents

Abstract

A hash value-based e-commerce data processing system and method, the method comprising: calculating a hash value of each group of e-commerce data by means of a hash algorithm; searching for the same hash value, and storing the same hash value and the storage path of e-commerce data corresponding to the same hash value in a hash association list; modifying an identifier corresponding to deleted e-commerce data in each hash association list; receiving a file inquiry instruction sent by a terminal; and when the storage path of e-commerce data to be queried in the file query instruction has a corresponding hash association list, sending e-commerce data corresponding to the selected storage path in the corresponding hash association list to the terminal. Implementation of the described solution may increase the speed of accessing an e-commerce platform.

Description

 E-commerce data processing system and method based on hash value

 [0001] The present invention relates to the field of data processing technologies, and in particular, to a hash value based e-commerce data processing system and method.

 Background technique

 [0002] With the rapid development of electronic commerce, people are increasingly accustomed to using e-commerce websites to purchase goods.

 However, sellers who are making profits through online channels cannot use the existing Internet information to predict the hot products afterwards, in order to achieve more profit.

 [0003] Data mining is the process of mining effective knowledge from large amounts of data stored in databases, data warehouses, or other information repositories. Data mining extracts implicit, valuable, and understandable information from large amounts of data to guide people's activities. Data mining techniques mainly include association rules, classification rules, cluster analysis and sequence patterns.

 [0004] Further, more and more users now use mobile terminals (for example, mobile terminals such as mobile phones, tablet computers, etc.) to view e-commerce data and store e-commerce data, resulting in e-commerce platforms storing multiple identical The e-commerce data, thus resulting in redundancy of e-commerce data on the e-commerce platform e-commerce platform and reducing the access speed of the e-commerce platform website.

 technical problem

 [0005] The main object of the present invention is to provide a hash value based e-commerce data processing system and method, aiming at solving the technical problem of cleaning redundant e-commerce data on an e-commerce platform.

 Problem solution

 Technical solution

 [0006] In order to achieve the above object, the present invention provides a hash value-based e-commerce data processing system, which runs in an e-commerce platform, and the e-commerce platform is communicably connected to a terminal through a network, and the system includes:

[0007] a calculation module, configured to calculate a hash value of each group of e-commerce data on the e-commerce platform;

[0008] a search module, configured to find the same hash value from the calculated hash value, and group the same hash value into a group, and the same hash value in each group and the same hash in the group Storage path of e-commerce data corresponding to the Greek value The path is saved in a hash association list;

 [0009] a deleting module, configured to select a storage path in each hash association list, and delete the e-commerce data corresponding to the unselected storage path in the hash association list;

[0010] a modification module, configured to modify, in each hash association list, an identifier corresponding to the deleted e-commerce data; [0011] a receiving module, configured to receive a file query instruction sent by the terminal;

 [0012] a determining module, configured to determine whether a storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list; and

 [0013] a sending module, configured to: when the storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list, the e-commerce corresponding to the selected storage path in the corresponding hash association list The data is sent to the terminal.

 [0014] Preferably, the hash association list includes four fields, and each of the four fields is a data name, a hash value, a storage path, and an identifier.

 [0015] Preferably, the calculation module calculates a hash value of each group of e-commerce data on the e-commerce platform as follows: traverses e-commerce data on the e-commerce platform, and calculates each group of e-commerce by using a hash algorithm The hash value of the data.

 [0016] Preferably, the calculation module calculates a hash value of each set of e-commerce data on the e-commerce platform by using a hash algorithm, where the hash algorithm is a SHA256 algorithm.

 [0017] Preferably, the determining module determines whether the storage path in the file query instruction has a corresponding hash association list as follows: parsing the file query instruction and obtaining a storage path of the e-commerce data to be queried, The storage path of the e-commerce data to be queried is compared with each hash association list in the e-commerce platform. If a hash association list in the e-commerce platform includes a storage path of the e-commerce data to be queried, The hash association list is a hash association list corresponding to the storage path of the e-commerce data to be queried.

 [0018] In another aspect, the present invention further provides a method for processing an e-commerce data based on a hash value, which is applied to an e-commerce platform, wherein the e-commerce platform is communicatively connected to the terminal through a network, and the method includes the following steps:

 [0019] calculating a hash value of each group of e-commerce data on the e-commerce platform;

 [0020] searching for the same hash value from the calculated hash value, and grouping the same hash value into a group, and the same hash value in each group and the same hash value in the group corresponding to the electricity The storage path of the quotient data is stored in a hash association list;

[0021] selecting a storage path in each hash association list, and deleting the hash association list is not selected E-commerce data corresponding to the storage path;

[0022] modifying, in each hash association list, an identifier corresponding to the deleted e-commerce data;

 [0023] receiving a file query instruction sent by the terminal;

 [0024] determining whether a storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list; and

 [0025] When the storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list, the e-commerce data corresponding to the selected storage path in the corresponding hash association list is sent to the terminal.

 [0026] Preferably, the hash association list includes four fields, and each of the four fields is a data name, a hash value, a storage path, and an identifier.

 [0027] Preferably, the step of calculating a hash value of each group of e-commerce data on the e-commerce platform comprises the steps of: traversing e-commerce data on an e-commerce platform, and calculating each group of e-commerce by using a hash algorithm The hash value of the data.

 [0028] Preferably, the hash value of each group of e-commerce data on the e-commerce platform is calculated by a hash algorithm, where the hash algorithm is a SHA256 algorithm.

 [0029] Preferably, the step of determining whether the storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list comprises the following steps: parsing the file query instruction and obtaining the electricity to be queried a storage path of the quotient data, comparing the storage path of the e-commerce data to be queried with each hash association list in the e-commerce platform, if there is a hash association list in the e-commerce platform, the s The storage association path of the quotient data, the hash association list is a hash association list corresponding to the storage path of the quotient data to be queried.

 Advantageous effects of the invention

 Beneficial effect

 [0030] The present invention adopts the above technical solution, and brings the technical effects as follows: The present invention uses the hash value comparison method to find the same e-commerce data, and deletes repeated e-commerce data, thereby accelerating the access speed of the e-commerce platform. , reducing the redundancy of the e-commerce platform.

 Brief description of the drawing

 DRAWINGS

 1 is a schematic diagram of an application environment of a hash value-based e-commerce data processing system according to the present invention;

2 is a block diagram showing a preferred embodiment of a hash value based e-commerce data processing system of the present invention; 3 is a flow chart of a preferred embodiment of a hash value based e-commerce data processing method of the present invention;

4 is a schematic diagram of a hash association list of the present invention.

 BEST MODE FOR CARRYING OUT THE INVENTION

 BEST MODE FOR CARRYING OUT THE INVENTION

The specific embodiments, structures, features and functions of the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

 Referring to FIG. 1, FIG. 1 is a schematic diagram of an application environment of a hash value-based e-commerce data processing system according to the present invention. The hash value based e-commerce data processing system 30 of the present invention operates on the e-commerce platform 3. The e-commerce platform 3 is communicatively coupled to a plurality of terminals 1 via a network 2. The e-commerce platform 3 stores various types of e-commerce data (e.g., user name, product text information, merchandise type information, courier information, warehousing information, merchandise pictures, shopping records, etc.). It should be noted that the e-commerce data stored by the e-commerce platform 3 is classified into multiple sets of data according to the time division and location, for example, the data generated every second is classified into a group of data. The e-commerce platform 3 is a cluster composed of a plurality of servers.

 [0037] In this embodiment, the network 2 may be a wired communication network or a wireless communication network. The network is preferably a wireless communication network, including but not limited to a GSM network, a GPRS network, a CDMA network, a TD-S CDMA network, a WiMAX network, a TD-LTE network, an FDD-LTE network, and the like. .

 [0038] The terminal 1 may be, but not limited to, any other suitable portable touch screen electronic device such as a smart phone, a tablet computer, a personal digital assistant (PDA), a personal computer, an electronic signboard, and the like. The terminal 1 is configured to access the e-commerce platform 3 through the network 2, and obtain e-commerce data on the e-commerce platform 3. The terminal 1 is further configured to generate e-commerce data, and send the generated e-commerce data to the e-commerce platform 3 for storage.

 Referring to FIG. 2, there is shown a block diagram of a preferred embodiment of a hash value based e-commerce data processing system of the present invention. In the present embodiment, the hash value based e-commerce data processing system 30 is applied to the e-commerce platform 3. The e-commerce platform 3 includes, but is not limited to, a hash value based e-commerce data processing system 30, a storage unit 31, a processing unit 32, and a communication unit 33.

[0040] The storage unit 31 may be a read only storage unit ROM, an electrically erasable storage unit EEPRO M, flash memory unit FLASH or solid hard disk.

[0041] The processing unit 32 may be a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function.

[0042] The communication unit 33 is a communication interface with a remote communication function, for example, supports GSM, GPR.

The communication interface of wireless communication technologies such as S, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE, and the wired communication interface supporting USB and network cable.

[0043] The data processing system of the electricity supplier based on a hash value 30 include, but are not limited to, the calculation module 312, a searching module 313, a deleting module _314, modification module 315, a receiving module 316, a determining module 317 and a sending module 318. The term "module" as used in the present invention refers to a series of computer program instruction segments that can be executed by the processing unit 32 of the e-commerce platform 3 and that can perform fixed functions, which are stored in the storage unit of the e-commerce platform 3. 31.

 [0044] The calculation module 312 is configured to calculate a hash value of each group of e-commerce data on the e-commerce platform 3. Specifically, the calculation module 312 traverses the e-commerce data on the e-commerce platform 3 and calculates a hash value of each set of e-commerce data through a hash algorithm. The hash algorithm may be, but is not limited to, the SHA256 algorithm.

[0045] The searching module 313 is configured to search for the same hash value from the calculated hash values, and group the same hash values into a group, and the same hash value in each group is the same as the same in the group. The storage path of the e-commerce data corresponding to the hash value is stored in a hash association list. In general, due to the uniqueness of the hash value, if the same hash value is found, it indicates that the same e-commerce data exists in the e-commerce platform 3. In this embodiment, the hash association list includes a plurality of identical hash values and a storage path of each hash value corresponding to the e-commerce data. It should be noted that the hash values in the hash association list are the same. If there are multiple sets of identical e-commerce data in the e-commerce platform 3, the search module 313 obtains multiple sets of identical hash values and generates a hash association list for each set of identical hash values. As shown in FIG. 4, the hash association list includes at least four fields, and each of the four fields is a name of each group of data (representing the name of the e-commerce data), and a hash value (a representation of the e-commerce data). The value of the storage path (representing the storage path of the e-commerce data on the e-commerce platform 3) and the identification (representing whether the e-commerce data is retained in the e-commerce platform 3, where Y is reserved and N is deleted). Further, for the sake of convenience, the letter B in FIG. 4 merely refers to the hash value, and does not mean that the hash value is B, and the letters T1 to T9 in FIG. 4 are merely referring to the storage path, and do not indicate T1 to T9 are storage paths. [0046] The deleting module 314 is configured to select one storage path in each hash association list, and delete the e-commerce data corresponding to the unselected storage paths in the hash association list. In this embodiment, the deleting module ₃ 14 selects the storage path T1 and deletes the e-commerce data corresponding to the remaining storage paths T2 to T9 in the e-commerce platform 3.

 [0047] The modification module 315 is configured to modify the identifier corresponding to the deleted e-commerce data in each hash association list. Specifically, as shown in FIG. 4, the modification module 315 modifies the identifier corresponding to T2 to T9 in the hash association list from Y to N.

 [0048] The receiving module 316 is configured to receive a file query instruction sent by the terminal 1. Generally, the terminal 1 queries the e-commerce data on the e-commerce platform 3, and the file query instruction includes a storage path of the e-commerce data to be queried.

 [0049] The determining module 317 is configured to determine whether a storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list. The determining module 317 parses the file query instruction and obtains a storage path of the e-commerce data to be queried, and compares the storage path of the e-commerce data to be queried with each hash association list in the e-commerce platform 3. If there is a hash association list in the e-commerce platform 3 that includes the storage path of the e-commerce data to be queried, the hash association list is a hash association list corresponding to the storage path of the e-commerce data to be queried.

 [0050] The sending module 318 is configured to send the e-commerce data corresponding to the selected storage path in the corresponding hash association list to the terminal 1. Specifically, as shown in FIG. 4, if the storage path of the e-commerce data to be queried is T2, the sending module 318 sends the e-commerce data A corresponding to the storage path T1 to the terminal 1.

 Referring to FIG. 3, there is shown a flow chart of a preferred embodiment of the hash value based e-commerce data processing method of the present invention. In this embodiment, the hash value-based e-commerce data processing method is applied to the e-commerce platform 3, and the method includes the following steps:

 [0052] Step S12: The calculation module 312 calculates a hash value of each group of e-commerce data on the e-commerce platform 3. Specifically, the calculation module 312 traverses the e-commerce data on the e-commerce platform 3, and calculates a hash value of each set of e-commerce data through a hash algorithm. The hash algorithm may be, but is not limited to, the SHA256 algorithm.

[0053] Step S13: The searching module 313 searches for the same hash value from the calculated hash values, and groups the same hash values into a group, and sets the same hash value in each group and the group. The storage path of the e-commerce data corresponding to the same hash value is stored in a hash association list. In general, due to the uniqueness of the hash value, If the same hash value is found, it indicates that the same e-commerce data exists in the e-commerce platform 3. In this embodiment, the hash association list includes a plurality of identical hash values and a storage path of each hash value corresponding to the e-commerce data. It should be noted that the hash values in the hash association list are the same. If there are multiple sets of identical e-commerce data in the e-commerce platform 3, the search module 313 obtains multiple sets of identical hash values and generates a hash association list for each set of identical hash values. As shown in FIG. 4, the hash association list includes at least four fields, and each of the four fields is a name of each group (representing the name of the e-commerce data).

a hash value (representing a hash value of the e-commerce data), a storage path (representing a storage path of the e-commerce data on the e-commerce platform 3), and a logo (indicating whether the e-commerce data is retained in the e-commerce platform 3, wherein Y means reserved, N means delete). Further, for the sake of convenience, the letter B in FIG. 4 merely refers to the hash value, and does not mean that the hash value is B, and the letters T1 to T9 in FIG. 4 are merely referring to the storage path, and do not indicate T1 to T9 are storage paths.

 [0054] Step S14: The deleting module 314 selects one storage path in each hash association list, and deletes the e-commerce data corresponding to the unselected storage paths in the hash association list. In this embodiment, the deletion module 314 selects the storage path T1, and deletes the e-commerce data corresponding to the remaining storage paths Τ2 to Τ9 in the e-commerce platform 3.

 [0055] Step S15: The modification module 315 modifies the identifier corresponding to the deleted e-commerce data in each hash association list. Specifically, as shown in FIG. 4, the modification module 315 modifies the identifier corresponding to Τ2 to Τ9 in the hash association list from Υ to Ν.

[0056] Step S16: The receiving module 316 receives the file query instruction sent by the terminal 1. Generally, the terminal 1 queries the e-commerce data on the e-commerce platform 3, and the query instruction includes a storage path of the e-commerce data to be queried.

[0057] Step S17: The determining module 317 determines whether the storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list. The determining module 317 parses the file query instruction and obtains a storage path of the e-commerce data to be queried, and compares the storage path of the e-commerce data to be queried with each hash association list in the e-commerce platform 3. If there is a hash association list in the e-commerce platform 3 that includes the storage path of the e-commerce data to be queried, the hash association list is a hash association list corresponding to the storage path of the e-commerce data to be queried. If the storage path in the file query instruction has a corresponding hash association list, the process proceeds to step S18. Otherwise, if the storage path in the file query instruction does not have a corresponding hash association list, The e-commerce data in the e-commerce platform 3 is traversed directly through the storage path in the file query command (omitted in FIG. 3), and then the flow is ended.

[0058] Step S18: The sending module 318 sends the e-commerce data corresponding to the selected storage path in the corresponding hash association list to the terminal 1. Specifically, as shown in FIG. 4, if the storage path of the e-commerce data to be queried is T2, the sending module 318 sends the e-commerce data 存储 corresponding to the storage path T1 to the terminal 1. Industrial applicability

 [0059] The present invention uses the hash value comparison method to find the same e-commerce data, and deletes the repeated e-commerce data, accelerates the access speed of the e-commerce platform, and reduces the redundancy of the e-commerce platform.

Claims

Claim An e-commerce data processing system based on a hash value, running in an e-commerce platform, wherein the e-commerce platform is connected to a terminal through a network, the system comprising: a calculation module, configured to calculate the e-commerce A hash value of each set of e-commerce data on the platform; a lookup module, configured to find the same hash value from the calculated hash value, and group the same hash values into a group, the same ha in each group The storage path of the e-commerce data corresponding to the hash value and the same hash value in the group is saved in a hash association list; a deleting module, configured to select a storage path in each hash association list, and delete the e-commerce data corresponding to the unselected storage path in the hash association list; a modifying module, configured to modify, in each hash association list, an identifier corresponding to the deleted e-commerce data; a receiving module, configured to receive a file query instruction sent by the terminal; a judging module, configured to determine whether a storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list; and a sending module, configured to: when the storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list, send the e-commerce data corresponding to the selected storage path in the corresponding hash association list to terminal. The hash value-based e-commerce data processing system according to claim 1, wherein the hash association list includes four fields, and each of the four fields is a data name and a hash value of each group. , storage path and identity. The hash value-based e-commerce data processing system according to claim 1, wherein the calculating module calculates a hash value of each group of e-commerce data on the e-commerce platform as follows: traversing the e-commerce platform The e-commerce data on the above, and the hash value of each group of e-commerce data is calculated by a hash algorithm. The hash value-based e-commerce data processing system according to claim 3, wherein the calculation module calculates a hash value of each group of e-commerce data on the e-commerce platform by using a hash algorithm, where The hash algorithm is the SHA256 algorithm. A hash value based e-commerce data processing system according to claim 1, wherein: The determining module determines whether the storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list as follows: parsing the file query instruction and obtaining a storage path of the e-commerce data to be queried, Comparing the storage path of the e-commerce data to be queried with each hash association list in the e-commerce platform, if a hash association list in the e-commerce platform includes a storage path of the e-commerce data to be queried, Then, the hash association list is a hash association list corresponding to the storage path of the e-commerce data to be queried.  [Claim 6] A method for processing an e-commerce data based on a hash value, which is applied to an e-commerce platform, wherein the e-commerce platform is connected to a terminal through a network, the method comprising the following steps: The hash value of each group of e-commerce data on the e-commerce platform;  Find the same hash value from the calculated hash value, and group the same hash value into a group, and compare the same hash value in each group with the same hash value in the group. The storage path is saved in a hash association list;  Selecting a storage path in each hash association list, and deleting the e-commerce data corresponding to the unselected storage paths in the hash association list;  Modifying, in each hash association list, an identifier corresponding to the deleted e-commerce data; receiving a file query instruction sent by the terminal;  Determining whether the storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list; and  When the storage path of the e-commerce data to be queried in the file query instruction has a corresponding hash association list, the e-commerce data corresponding to the selected storage path in the corresponding hash association list is sent to the terminal.  [Claim 7] The hash value-based e-commerce data processing method according to claim 6, wherein the hash association list includes four fields, and the four fields are respectively for each group of data. Name, hash, storage path, and identity. [Claim 8] The hash value-based e-commerce data processing method according to claim 6, wherein the calculating the hash value of each group of e-commerce data on the e-commerce platform comprises the following steps : Traversing the e-commerce data on the e-commerce platform, and calculating the hash value of each set of e-commerce data through a hash algorithm. The hash value-based e-commerce data processing method according to claim 8, wherein the hash value of each set of e-commerce data on the e-commerce platform is calculated by a hash algorithm, where The hash algorithm is the SHA256 algorithm.  [Claim 10] The hash value-based e-commerce data processing method according to claim 6, wherein the determining whether the storage path of the e-commerce data to be queried in the file query instruction has a corresponding Ha The step of associating the list includes the following steps: parsing the file query instruction and obtaining a storage path of the e-commerce data to be queried, and storing the storage path of the e-commerce data to be queried with each hash association list in the e-commerce platform For comparison, if a hash association list in the e-commerce platform includes a storage path of the e-commerce data to be queried, the hash association list is a hash association list corresponding to the storage path of the e-commerce data to be queried. .