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WO2018165961A1 - Système et procédé de traitement de données de commerce électronique permettant d'augmenter la vitesse d'accès à une plateforme de commerce électronique - Google Patents

Système et procédé de traitement de données de commerce électronique permettant d'augmenter la vitesse d'accès à une plateforme de commerce électronique Download PDF

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Publication number
WO2018165961A1
WO2018165961A1 PCT/CN2017/077008 CN2017077008W WO2018165961A1 WO 2018165961 A1 WO2018165961 A1 WO 2018165961A1 CN 2017077008 W CN2017077008 W CN 2017077008W WO 2018165961 A1 WO2018165961 A1 WO 2018165961A1
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WO
WIPO (PCT)
Prior art keywords
commerce
hash
terminal
commerce platform
hash value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2017/077008
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English (en)
Chinese (zh)
Inventor
李楚斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Xiustyle Brand Communication Co Ltd
Original Assignee
Shenzhen Xiustyle Brand Communication Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Xiustyle Brand Communication Co Ltd filed Critical Shenzhen Xiustyle Brand Communication Co Ltd
Priority to PCT/CN2017/077008 priority Critical patent/WO2018165961A1/fr
Publication of WO2018165961A1 publication Critical patent/WO2018165961A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass

Definitions

  • 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.
  • 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.
  • mobile terminals for example, mobile terminals such as mobile phones, tablet computers, etc.
  • mobile terminals for example, mobile terminals such as mobile phones, tablet computers, etc.
  • 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.
  • 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.
  • 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
  • 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;
  • 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 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;
  • 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;
  • a modification module configured to modify an identifier corresponding to the deleted e-commerce data in each hash association list;
  • 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;
  • a receiving module configured to receive e-commerce data sent by the terminal
  • the calculation module is further configured to calculate a hash value of the e-commerce data sent by the terminal.
  • 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.
  • the hash association list includes four fields, and the four fields are a file name, a hash value, a storage path, and an identifier.
  • the calculating module calculates a hash value of each group of e-commerce data on the e-commerce platform as follows:
  • 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.
  • 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.
  • 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. :
  • the hash association list includes four fields, and the four fields are a file name, a hash value, a storage path, and an identifier.
  • the step of calculating a hash value of each group of e-commerce data on the e-commerce platform comprises the following steps
  • 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.
  • 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.
  • 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.
  • 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
  • FIG. 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
  • FIG. 4 is a schematic diagram of a hash association list of the present invention.
  • 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.).
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the communication unit 33 is a communication interface with a remote communication function, for example, supporting GSM, GPR.
  • WCDMA Code Division Multiple Access
  • CDMA Code Division Multiple Access
  • TD-SCDMA Code Division Multiple Access
  • WiMAX Code Division Multiple Access
  • TD-LTE Time Division Multiple Access
  • FDD-LTE Frequency Division Multiple Access
  • other wireless communication technology communication interface support USB, network cable wired communication interface.
  • 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.
  • the judging module 317 and the saving module 318 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the search module 313 obtains multiple sets of identical hash values and generates a hash association list for each set of identical hash values.
  • 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).
  • the letter B in FIG. 4 merely refers to the hash value, and does not mean that the hash value is B
  • 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.
  • 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.
  • 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.
  • 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 .
  • the adjustment module 311 can stop monitoring the program (or software) related to the terminal 1 in the e-commerce platform 1.
  • 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”.
  • 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.
  • the calculation module 312 is further configured to calculate a hash value of the e-commerce data sent by the terminal 1.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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:
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the search module 313 obtains multiple sets of identical hash values and generates a hash association list for each set of identical hash values.
  • 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).
  • the letter B in FIG. 4 merely refers to the hash value, and does not mean that the hash value is B
  • 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.
  • 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.
  • the deletion module 314 selects the storage path T1, and deletes the e-commerce data corresponding to the remaining storage paths ⁇ 2 to ⁇ 9 in the e-commerce platform 3.
  • 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 ⁇ 2 to ⁇ 9 in the hash association list from ⁇ to ⁇ .
  • 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.
  • the adjustment module 311 can stop monitoring the program (or software) related to the terminal 1 in the e-commerce platform 1.
  • 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”.
  • 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.
  • Step S18 The calculation module 312 calculates a hash value of the e-commerce data sent by the terminal 1.
  • 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.
  • 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.
  • 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).
  • 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.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention concerne un système et un procédé de traitement de données de commerce électronique permettant d'augmenter la vitesse d'accès à une plateforme de commerce électronique, ledit procédé comprenant les étapes qui consistent : à régler l'état de fonctionnement d'une plateforme de commerce électronique sur un état dans lequel l'interaction de données s'arrête ; à calculer les valeurs de hachage de chaque ensemble de données de commerce électronique sur ladite plateforme de commerce électronique, et à classer des valeurs de hachage identiques dans un même ensemble, puis à sauvegarder les valeurs de hachage identiques de chaque ensemble et le chemin de mémorisation de données de commerce électronique qui correspondent auxdites valeurs identiques dans une liste d'associations de hachage ; à supprimer des données de commerce électronique correspondant à des chemins de mémorisation non sélectionnés dans chaque liste d'associations de hachage ; à régler l'état de fonctionnement de la plateforme de commerce électronique sur un état d'échange de données ; à recevoir des données de commerce électronique envoyées par un terminal ; à calculer la valeur de hachage des données de commerce électronique envoyées par ledit terminal ; et, lorsqu'il existe une liste d'associations de hachage pour la valeur de hachage des données de commerce électronique envoyées par ledit terminal, à supprimer les données de commerce électronique que celui-ci a envoyées. La mise en œuvre de cette invention peut augmenter la vitesse d'accès à une plateforme de commerce électronique et réduire la redondance de ladite plateforme.
PCT/CN2017/077008 2017-03-17 2017-03-17 Système et procédé de traitement de données de commerce électronique permettant d'augmenter la vitesse d'accès à une plateforme de commerce électronique Ceased WO2018165961A1 (fr)

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Citations (6)

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Publication number Priority date Publication date Assignee Title
CN1932818A (zh) * 2006-09-20 2007-03-21 华为技术有限公司 数据库系统及管理数据库数据的方法
CN101183372A (zh) * 2007-12-21 2008-05-21 腾讯科技（深圳）有限公司 一种样式表处理系统及方法
CN103140827A (zh) * 2010-09-29 2013-06-05 国际商业机器公司 管理存储系统中冗余数据的所有权
CN103455631A (zh) * 2013-09-22 2013-12-18 广州中国科学院软件应用技术研究所 一种数据处理方法、装置及系统
CN106599260A (zh) * 2016-12-21 2017-04-26 深圳市易特科信息技术有限公司 医疗信息化重复医疗文件删除系统及方法
CN106777170A (zh) * 2016-12-21 2017-05-31 深圳市易特科信息技术有限公司 增强服务器访问速度的医疗信息化文件处理系统及方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1932818A (zh) * 2006-09-20 2007-03-21 华为技术有限公司 数据库系统及管理数据库数据的方法
CN101183372A (zh) * 2007-12-21 2008-05-21 腾讯科技（深圳）有限公司 一种样式表处理系统及方法
CN103140827A (zh) * 2010-09-29 2013-06-05 国际商业机器公司 管理存储系统中冗余数据的所有权
CN103455631A (zh) * 2013-09-22 2013-12-18 广州中国科学院软件应用技术研究所 一种数据处理方法、装置及系统
CN106599260A (zh) * 2016-12-21 2017-04-26 深圳市易特科信息技术有限公司 医疗信息化重复医疗文件删除系统及方法
CN106777170A (zh) * 2016-12-21 2017-05-31 深圳市易特科信息技术有限公司 增强服务器访问速度的医疗信息化文件处理系统及方法

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