WO2018165961A1

WO2018165961A1 - E-commerce data processing system and method for increasing speed of accessing e-commerce platform

Info

Publication number: WO2018165961A1
Application number: PCT/CN2017/077008
Authority: WO
Inventors: 李楚斌
Original assignee: 深圳市秀趣品牌文化传播有限公司
Priority date: 2017-03-17
Filing date: 2017-03-17
Publication date: 2018-09-20

Abstract

Provided by the present invention are an e-commerce data processing system and method for increasing the speed of accessing an e-commerce platform, wherein said method comprises: adjusting the operating state of an e-commerce platform into a state in which data interaction stops; calculating the hash values of each set of e-commerce data on said e-commerce platform, and categorizing identical hash values into one set, then saving the identical hash values within each set and the storage path of e-commerce data corresponding to the identical hash values within the sets to a hash association list; deleting e-commerce data corresponding to unselected storage paths from each hash association list; adjusting the operating state of the e-commerce platform into a data exchange state; receiving e-commerce data sent by a terminal; calculating the hash value of the e-commerce data sent by said terminal; when a hash association list exists for the hash value of the e-commerce data sent by said terminal, deleting the e-commerce data sent by said terminal. Implementing the present invention may increase the speed of accessing an e-commerce platform and lower the redundancy of the e-commerce platform.

Description

E-commerce data processing system and method for improving access speed of e-commerce platform

[0001] The present invention relates to the field of data processing technologies, and in particular, to an e-commerce data processing system and method for improving access speed of an e-commerce platform.

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 an e-commerce data processing system and method for enhancing the access speed of an e-commerce platform, 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 an e-commerce data processing system for improving the access speed of an e-commerce platform, which is operated in an e-commerce platform, and the e-commerce platform is communicably connected to a terminal through a network, and the system includes

[0007] an adjustment module, configured to adjust an operation state on the e-commerce platform to stop the data interaction state, to ensure that the terminal cannot perform data interaction operation on the e-commerce platform; [0008] a calculation module, configured to calculate a hash value of each group of e-commerce data on the e-commerce platform;

[0009] 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 The storage path of the e-commerce data corresponding to the hash value is stored in a hash association list;

[0010] a deletion 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;

[0011] a modification module, configured to modify an identifier corresponding to the deleted e-commerce data in each hash association list; [0012] the adjustment module is further configured to adjust an operation state on the e-commerce platform to a data interaction state, To ensure that the terminal performs data interaction with the e-commerce platform;

[0013] a receiving module, configured to receive e-commerce data sent by the terminal;

[0014] the calculation module is further configured to calculate a hash value of the e-commerce data sent by the terminal; and

[0015] The deleting module is further configured to: when the hash value of the e-commerce data sent by the terminal has a corresponding hash association list, delete the e-commerce data sent by the terminal.

[0016] Preferably, the hash association list includes four fields, and the four fields are a file name, a hash value, a storage path, and an identifier.

[0017] Preferably, 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 data on the e-commerce platform, and calculating the hash value of each set of e-commerce data through a hash algorithm.

[0018] 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.

[0019] Preferably, the e-commerce data processing system for enhancing the access speed of the e-commerce platform further includes a saving module, where the hash value of the e-commerce data sent by the terminal does not have a corresponding hash association list, The e-commerce data sent by the terminal is saved in an e-commerce platform.

[0020] Another invention, the present invention further provides an e-commerce data processing method for improving the access speed of an e-commerce platform, which is applied to an e-commerce platform, wherein the e-commerce platform is connected to a terminal through a network, and the method includes the following steps. :

[0021] adjusting an operation state on the e-commerce platform to stop the data interaction state, so as to ensure that the terminal cannot perform data interaction operation on the e-commerce platform;

[0022] calculating a hash value of each group of e-commerce data on the e-commerce platform; [0023] 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;

[0024] selecting one storage path in each hash association list, and deleting the e-commerce data corresponding to the unselected storage paths in the hash association list;

[0025] modifying, in each hash association list, an identifier corresponding to the deleted e-commerce data;

[0026] adjusting an operating state on the e-commerce platform to a data interaction state to ensure that the terminal performs data interaction with the e-commerce platform;

[0027] receiving e-commerce data sent by the terminal;

[0028] calculating a hash value of the e-commerce data sent by the terminal; and

[0029] When the hash value of the e-commerce data sent by the terminal has a corresponding hash association list, the e-commerce data sent by the terminal is deleted.

[0030] Preferably, the hash association list includes four fields, and the four fields are a file name, a hash value, a storage path, and an identifier.

[0031] Preferably, the step of calculating a hash value of each group of e-commerce data on the e-commerce platform comprises the following steps

[0032] 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.

[0033] Preferably, the e-commerce data processing method for improving the access speed of the e-commerce platform further includes the following steps: when the hash value of the e-commerce data sent by the terminal does not have a corresponding hash association list, The e-commerce data sent by the terminal is stored in the e-commerce platform.

Advantageous effects of the invention

Beneficial effect

[0034] 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.

Brief description of the drawing

DRAWINGS

1 is a schematic diagram of an application environment of an e-commerce data processing system for enhancing an access speed of an e-commerce platform according to the present invention; 2 is a block diagram showing a preferred embodiment of an e-commerce data processing system for enhancing the access speed of an e-commerce platform according to the present invention;

3 is a flow chart of a preferred embodiment of an e-commerce data processing method for enhancing the access speed of an e-commerce platform according to the present invention;

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

BEST MODE FOR CARRYING OUT THE INVENTION

Referring to FIG. 1, FIG. 1 is a schematic diagram of an application environment of an e-commerce data processing system for enhancing the access speed of an e-commerce platform according to the present invention. The e-commerce data processing system 30 for enhancing the access speed of the e-commerce platform in the present invention runs 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 (for example, 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 in 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.

[0040] 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.

[0041] 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.

[0042] Referring to FIG. 2, it is a block diagram of a preferred embodiment of an e-commerce data processing system for enhancing the access speed of an e-commerce platform. In this embodiment, the e-commerce data processing system 30 for enhancing the access speed of the e-commerce platform is applied to the e-commerce platform 3. The e-commerce platform 3 includes, but is not limited to, an e-commerce data processing system 30, a storage unit 31, a processing unit 32, and a communication unit 33 that enhance the access speed of the e-commerce platform.

[0043] The storage unit 31 may be a read only storage unit ROM, an electrically erasable storage unit EEPRO M, a flash storage unit FLASH or a solid hard disk. [0044] 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.

[0045] The communication unit 33 is a communication interface with a remote communication function, for example, supporting GSM, GPR.

5, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE and other wireless communication technology communication interface, support USB, network cable wired communication interface.

[0046] The e-commerce data processing system 30 for enhancing the access speed of the e-commerce platform includes, but is not limited to, an adjustment module 311, a calculation module 312, a lookup module 313, a deletion module 314, a modification module 315, and a receiving module 31.

6. The judging module 317 and the saving module 318, the module referred to 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 capable of performing a fixed function, which is stored in the It is described in the storage unit 31 of the e-commerce platform 3.

The adjustment module 311 is configured to adjust the running state of the e-commerce platform 3 to stop the data interaction state, so as to ensure that the terminal 1 cannot perform data interaction operation on the e-commerce platform 3. In this embodiment, the terminal 1 stops the data interaction operation (for example, writing, reading, querying, etc.) on the e-commerce platform 3, and can perform redundancy on the e-commerce data in the e-commerce platform 3. The cleaning is performed to prevent the e-commerce platform 3 from cleaning up the redundancy. Since the terminal 1 writes (or queries or reads) the data to the e-commerce platform 3, it interferes with the cleaning of the redundancy. The adjustment module 31 is configured to monitor a program (or software) related to the terminal 1 running in the e-commerce platform 1, and prevent a program (or software) associated with the terminal 1 from performing data interaction with the e-commerce platform 3. In other embodiments, the adjustment module 311 can also ensure that the terminal 1 cannot perform data interaction operation on the e-commerce platform 3 by suspending the communication connection with the terminal 1 (for example, sending an "e-commerce" to the terminal 1. In the platform 3 redundancy cleanup, please check the "Information" later.

[0048] 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.

[0049] 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 corresponding to the e-commerce data of each hash value. . 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, where the four fields are a file name (a name indicating an e-commerce data) and a hash value (a hash value indicating an e-commerce data). ), a storage path (representing the 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, 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.

[0050] 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 path 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.

[0051] 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.

[0052] The adjustment module 311 is further configured to adjust an operation state on the e-commerce platform 3 to a data interaction state to ensure that the terminal 1 performs data interaction with the e-commerce platform ₃ . In this embodiment, the adjustment module 311 can stop monitoring the program (or software) related to the terminal 1 in the e-commerce platform 1. In other embodiments, the adjustment module 311 can also ensure that the terminal 1 can perform data interaction operations on the e-commerce platform 3 by re-communicating with the terminal 1 (for example, resending "electricity" to the terminal 1. The business platform 3 redundancy cleaning is completed, welcome to query "information".

[0053] The receiving module 316 is configured to receive e-commerce data sent by the terminal 1. The hash value of the e-commerce data sent by the terminal 1 is temporarily stored in the memory of the e-commerce platform 3.

[0054] The calculation module 312 is further configured to calculate a hash value of the e-commerce data sent by the terminal 1.

[0055] The determining module 317 is configured to determine whether the hash value of the e-commerce data sent by the terminal 1 has a corresponding hash association list. The determining module 317 performs a query by using a hash value of the e-commerce data sent by the terminal 1, and determines whether there is a hash association list that includes the e-commerce data sent by the terminal 1. a hash value, if a hash association list in the e-commerce platform 3 includes a hash value of the e-commerce data sent by the terminal 1, the hash association list is the e-commerce data sent by the terminal 1 A hash association list corresponding to the hash value.

[0056] The deleting module 314 is configured to delete the e-commerce data sent by the terminal 1 when the hash value of the e-commerce data sent by the terminal 1 has a corresponding hash association list. The hash value of the e-commerce data sent by the terminal 1 is deleted from the memory of the e-commerce platform 3.

[0057] The saving module 317 is configured to save the e-commerce data sent by the terminal 1 to the e-commerce platform 3 when the hash value of the e-commerce data sent by the terminal 1 does not have a corresponding hash association list. in. The hash value of the e-commerce data sent by the terminal 1 is stored in the storage unit 31 of the e-commerce platform 3 or in a database (not shown).

Referring to FIG. 3, it is a flow chart of a preferred embodiment of the e-commerce data processing method for enhancing the access speed of an e-commerce platform. In this embodiment, the e-commerce data processing method for enhancing the access speed of the e-commerce platform is applied to the e-commerce platform 3, and the method includes the following steps:

[0059] Step S11: The adjustment module 311 adjusts the running state of the e-commerce platform 3 to stop the data interaction state, so as to ensure that the terminal 1 cannot perform data interaction operation on the e-commerce platform 3. In this embodiment, the terminal 1 stops performing data interaction operations (for example, writing, reading, querying, etc.) on the e-commerce platform 3, and can perform redundancy on the e-commerce data in the e-commerce platform 3. The cleaning is performed to prevent the e-commerce platform 3 from cleaning up the redundancy. Since the terminal 1 writes (or queries or reads) the data to the e-commerce platform 3, it interferes with the cleaning of the redundancy. The adjustment module 311 can monitor the program (or software) related to the terminal 1 running in the e-commerce platform 1, and prevent the program (or software) associated with the terminal 1 from performing data interaction with the e-commerce platform 3. In other embodiments, the adjustment module 311 can also ensure that the terminal 1 cannot perform data interaction operation on the e-commerce platform 3 by suspending the communication connection with the terminal 1 (for example, sending an "e-commerce" to the terminal 1. In the platform 3 redundancy cleanup, please check the "Information" later.

[0060] 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.

[0061] 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 the same hash value in each group and the group The number of e-commerce corresponding to the same hash value The storage path of the data 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, where the four fields are a file name (a name indicating an e-commerce data) and a hash value (a hash value indicating an e-commerce data). ), a storage path (representing the 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, 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.

[0062] 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.

[0063] 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.

[0064] Step S16: The adjustment module 311 adjusts the running state of the e-commerce platform 3 to a data interaction state to ensure that the terminal 1 performs data interaction with the e-commerce platform 3. In this embodiment, the adjustment module 311 can stop monitoring the program (or software) related to the terminal 1 in the e-commerce platform 1. In other embodiments, the adjustment module 311 can also ensure that the terminal 1 can perform data interaction operations on the e-commerce platform 3 by re-communicating with the terminal 1 (for example, resending "electricity" to the terminal 1. The business platform 3 redundancy cleaning is completed, welcome to query "information".

[0065] Step S17: The receiving module 316 receives the e-commerce data sent by the terminal 1. The hash value of the e-commerce data sent by the terminal 1 is temporarily stored in the memory of the e-commerce platform 3.

[0066] Step S18: The calculation module 312 calculates a hash value of the e-commerce data sent by the terminal 1. [0067] Step S19: The determining module 317 determines whether the hash value of the e-commerce data sent by the terminal 1 has a corresponding hash association list. The determining module 317 performs a query by using the hash value of the e-commerce data sent by the terminal 1, and determines whether the hash association list includes the hash value of the e-commerce data sent by the terminal 1, if the e-commerce A hash association list in the platform 3 includes a hash value of the e-commerce data sent by the terminal 1, and the hash association list is a hash corresponding to the hash value of the e-commerce data sent by the terminal 1. Association list. If the hash value of the e-commerce data sent by the terminal 1 has a corresponding hash association list, the flow proceeds to step S20. Otherwise, if the hash value of the e-commerce data sent by the terminal 1 does not have a corresponding hash. If the list is associated, the flow proceeds to step S21.

[0068] Step S20: The deleting module 314 deletes the e-commerce data sent by the terminal 1. The hash value of the e-commerce data sent by the terminal 1 is deleted from the memory of the e-commerce platform 3.

[0069] Step S21: The saving module 317 saves the e-commerce data sent by the terminal 1 in the e-commerce platform 3. The hash value of the e-commerce data sent from the terminal 1 is stored in the storage unit 31 of the e-commerce platform 3 or in a database (not shown).

Industrial applicability

[0070] The present invention uses the hash value comparison method to find the same e-commerce data, and deletes duplicate e-commerce data, accelerates the access speed of the e-commerce platform, and reduces the redundancy of the e-commerce platform.

Claims

Claim

[Claim 1] An e-commerce data processing system for enhancing the access speed of an e-commerce platform, operating in an e-commerce platform

The e-commerce platform is connected to the terminal through a network, and the system includes an adjustment module, configured to adjust an operation state on the e-commerce platform to stop the data interaction state, to ensure that the terminal cannot perform the e-commerce platform. a data interaction operation; a calculation module, configured to calculate a hash value of each group of e-commerce data on the e-commerce platform; a search module, configured to search for the same hash value from the calculated hash value, and the same ha The hash values are grouped into a set, and the storage path of the e-commerce data corresponding to the same hash value in each group and the same hash value in the group is saved in a hash association list; the deletion module is used in each Selecting a storage path in the hash association list, and deleting 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;

The adjusting module is further configured to adjust an operating state on the e-commerce platform to a data interaction state to ensure data interaction between the terminal and the e-commerce platform;

a receiving module, configured to receive e-commerce data sent by the terminal; the calculating module is further configured to calculate a hash value of the e-commerce data sent by the terminal; and

The deleting module is further configured to: when the hash value of the e-commerce data sent by the terminal has a corresponding hash association list, delete the e-commerce data sent by the terminal.

[Claim 2] The e-commerce data processing system for enhancing the access speed of the e-commerce platform according to claim 1, wherein the hash association list includes four fields, and the four fields are files respectively. Name, hash, storage path, and identity.

[Claim 3] The e-commerce data processing system for enhancing the access speed of an e-commerce platform according to claim 1, wherein the calculation module calculates a hash value of each group of e-commerce data on the e-commerce platform. The method is as follows: traverse the e-commerce data on the e-commerce platform, and calculate the hash value of each group of e-commerce data through a hash algorithm.

[Claim 4] The e-commerce data processing system for enhancing the access speed of the e-commerce platform according to claim 1, wherein the e-commerce data processing system for enhancing the access speed of the e-commerce platform further comprises a saving module, The hash value of the e-commerce data sent by the terminal does not have a corresponding hash association list, and the e-commerce data sent by the terminal is saved in the e-commerce platform.

[Claim 5] An e-commerce data processing method for enhancing the access speed of an e-commerce platform, which is applied to an e-commerce platform

The e-commerce platform is connected to the terminal through a network, and the method includes the following steps:

Adjusting the running state of the e-commerce platform to stop the data interaction state, so as to ensure that the terminal cannot perform data interaction operation on the e-commerce platform;

Calculating a 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; adjusting an operation state on the e-commerce platform to a data interaction state to ensure data interaction between the terminal and the e-commerce platform;

Receiving e-commerce data sent by the terminal;

Calculating a hash value of the e-commerce data sent by the terminal; and when the hash value of the e-commerce data sent by the terminal has a corresponding hash association list, deleting the e-commerce data sent by the terminal.

[Claim 6] The e-commerce data processing method for enhancing the access speed of an e-commerce platform according to claim 5, wherein the hash association list includes four fields, and the four fields are files respectively. Name, hash, storage path, and identity.

[Claim 7] The e-commerce data processing method for enhancing the access speed of an e-commerce platform according to claim 5, wherein the step of calculating a hash value of each group of e-commerce data on the e-commerce platform comprises: The following steps: traverse the e-commerce data on the e-commerce platform, and calculate each group through a hash algorithm The hash value of the e-commerce data.

[Claim 8] The e-commerce data processing method for enhancing the access speed of the e-commerce platform according to claim 5, wherein the e-commerce data processing method for enhancing the access speed of the e-commerce platform further comprises the following steps: The hash value of the e-commerce data sent by the terminal does not have a corresponding hash association list, and the e-commerce data sent by the terminal is saved in the e-commerce platform.