[go: up one dir, main page]

WO2018170887A1 - Procédé et système d'affichage de liste de mégadonnées - Google Patents

Procédé et système d'affichage de liste de mégadonnées Download PDF

Info

Publication number
WO2018170887A1
WO2018170887A1 PCT/CN2017/078093 CN2017078093W WO2018170887A1 WO 2018170887 A1 WO2018170887 A1 WO 2018170887A1 CN 2017078093 W CN2017078093 W CN 2017078093W WO 2018170887 A1 WO2018170887 A1 WO 2018170887A1
Authority
WO
WIPO (PCT)
Prior art keywords
controls
big data
control
child
display
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/CN2017/078093
Other languages
English (en)
Chinese (zh)
Inventor
张北江
胡君健
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.)
Avcon Wisdom Information Technology (shenzhen) Co Ltd
Original Assignee
Avcon Wisdom Information Technology (shenzhen) 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 Avcon Wisdom Information Technology (shenzhen) Co Ltd filed Critical Avcon Wisdom Information Technology (shenzhen) Co Ltd
Priority to PCT/CN2017/078093 priority Critical patent/WO2018170887A1/fr
Publication of WO2018170887A1 publication Critical patent/WO2018170887A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Definitions

  • the present invention relates to the field of big data, and in particular to a method and system for displaying a list of big data.
  • Big data is the product of this high-tech era.
  • Big Data Big data
  • Big Data is often used to describe a large amount of unstructured and semi-structured data created by a company that spends too much time and money when downloaded to a relational database for analysis.
  • Big data analytics is often associated with cloud computing because real-time large dataset analysis needs to be like Map The same framework for Reduce allocates work to dozens, hundreds, or even thousands of computers.
  • the existing big data processing page cannot let the user know the child controls corresponding to all the controls, so that only the users who are very familiar with the processing page can use all the child controls, which is inconvenient to the user.
  • the application provides a method for displaying a list of big data. It solves the shortcomings of inconvenient use by users of the prior art technical solutions.
  • a method for displaying a list of big data comprising the steps of:
  • the big data server displays the name of the child control that can be entered in all controls for a set time
  • hiding all the child controls specifically includes:
  • the big data server determines the first control corresponding to the user resident coordinates, and displays all the child controls in the first control as a list.
  • the method further includes:
  • the first control corresponding to the user resident coordinate is determined, and all the child controls in the first control are displayed in an enlarged floating layer manner.
  • a display system for a list of big data comprising:
  • a determining unit for determining all controls of a big data page entered by the user a determining unit for determining all controls of a big data page entered by the user
  • the processing unit is configured to display the name of the sub-controls that can be entered in all the controls for a set time, and after displaying the set time, hide all the sub-controls.
  • system further includes:
  • the processing unit is specifically configured to determine a first control corresponding to the user resident coordinate, and display all the child controls in the first control in an enlarged floating layer manner.
  • a big data server including: a processor, a transceiver, a memory, and a bus, wherein the processor, the transceiver, and the memory are connected by a bus.
  • the processor is configured to determine all controls of the big data page that the user enters, display the name of the child control that can be entered in all the controls for a set time, and display a set time, and hide all the child controls.
  • the processor is specifically configured to determine a first control corresponding to the user resident coordinate, and display all the child controls in the first control in a list form.
  • the processor is specifically configured to determine a first control corresponding to the user resident coordinate, and display all the child controls in the first control in an enlarged floating layer manner.
  • the technical solution provided by the invention extracts the sub-controls corresponding to all the controls of the page after determining the incoming big data processing page, and displays all the sub-controls for a set time, so that the user has the advantages of facilitating the user to understand all the sub-controls thereof. .
  • FIG. 1 is a flowchart of a method for displaying a list of big data according to a first preferred embodiment of the present invention
  • FIG. 2 is a structural diagram of a display system for a big data list according to a second preferred embodiment of the present invention.
  • FIG. 3 is a hardware structural diagram of a big data server according to a second preferred embodiment of the present invention.
  • FIG. 1 is a diagram showing a method for displaying a big data list according to a first preferred embodiment of the present invention. The method is as shown in FIG.
  • Step S101 The big data server determines all controls of the big data page that the user enters.
  • Step S102 The big data server displays the name of the child control that can be entered in all the controls for a set time.
  • the method further includes:
  • the big data server determines the first control corresponding to the user resident coordinates, and displays all the child controls in the first control as a list.
  • the first control corresponding to the user resident coordinate is determined, and all the child controls in the first control are displayed in an enlarged floating layer manner.
  • FIG. 2 is a display system of a big data list according to a second preferred embodiment of the present invention.
  • the system is as shown in FIG. 2, and includes:
  • a determining unit 201 configured to determine all controls of the big data page entered by the user
  • the processing unit 202 is configured to display the name of the sub-controls that can be entered in all the controls for a set time, and display all the sub-controls hidden display after displaying a set time.
  • the technical solution provided by the invention extracts the sub-controls corresponding to all the controls of the page after determining the incoming big data processing page, and displays all the sub-controls for a set time, so that the user has the advantages of facilitating the user to understand all the sub-controls thereof. .
  • the processing unit 202 is specifically configured to determine a first control corresponding to the user resident coordinate, and display all the child controls in the first control in a list form.
  • the processing unit 202 is specifically configured to determine a first control corresponding to the user resident coordinate, and display all the child controls in the first control in an enlarged floating layer manner.
  • FIG. 3 is a big data server 30, including: a processor 301, a transceiver 302, a memory 303, and a bus 304.
  • the transceiver 302 is configured to send and receive data with and from an external device.
  • the number of processors 301 can be one or more.
  • processor 301, memory 302, and transceiver 303 may be connected by bus 304 or other means.
  • the big data server 30 can be used to perform the steps of FIG. For the meaning and examples of the terms involved in the embodiment, reference may be made to the corresponding embodiment of FIG. 1. I will not repeat them here.
  • the program code is stored in the memory 303.
  • the processor 901 is configured to call the program code stored in the memory 903 for performing the following operations:
  • the processor 301 is configured to determine all the controls of the big data page that the user enters, determine the first control corresponding to the user resident coordinates, and display all the child controls in the first control in a list form.
  • the memory 303 may be a storage device or a collective name of a plurality of storage elements, and is used to store executable program code or parameters, data, and the like required for the application running device to operate. And the memory 303 may include random access memory (RAM), and may also include non-volatile memory (non-volatile memory) Memory), such as disk storage, flash (Flash), etc.
  • RAM random access memory
  • non-volatile memory non-volatile memory
  • flash flash
  • Bus 304 can be an industry standard architecture (Industry Standard Architecture, ISA) bus, Peripheral Component (PCI) bus or extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 3, but it does not mean that there is only one bus or one type of bus.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.
  • ROM Read-Only Memory
  • RAM Random Access Memory

Landscapes

  • User Interface Of Digital Computer (AREA)

Abstract

L'invention concerne un procédé et un système d'affichage de liste de mégadonnées. Le procédé comprend les étapes suivantes : un serveur de mégadonnées détermine toutes les commandes d'une page de mégadonnées à laquelle un utilisateur accède ; le serveur de mégadonnées affiche des noms de sous-commandes accessibles dans toutes les commandes pendant un temps défini ; et, après l'affichage des sous-commandes pendant le temps défini, le serveur de mégadonnées masque l'affichage de toutes les sous-commandes. La présente solution technique a pour avantage d'être pratique pour l'utilisateur.
PCT/CN2017/078093 2017-03-24 2017-03-24 Procédé et système d'affichage de liste de mégadonnées Ceased WO2018170887A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/078093 WO2018170887A1 (fr) 2017-03-24 2017-03-24 Procédé et système d'affichage de liste de mégadonnées

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/078093 WO2018170887A1 (fr) 2017-03-24 2017-03-24 Procédé et système d'affichage de liste de mégadonnées

Publications (1)

Publication Number Publication Date
WO2018170887A1 true WO2018170887A1 (fr) 2018-09-27

Family

ID=63584982

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/078093 Ceased WO2018170887A1 (fr) 2017-03-24 2017-03-24 Procédé et système d'affichage de liste de mégadonnées

Country Status (1)

Country Link
WO (1) WO2018170887A1 (fr)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102436336A (zh) * 2010-09-29 2012-05-02 腾讯科技（深圳）有限公司 一种展示用户资料的方法及装置
US20150100884A1 (en) * 2013-10-08 2015-04-09 Nvidia Corporation Hardware overlay assignment
CN105827822A (zh) * 2016-01-29 2016-08-03 维沃移动通信有限公司 一种文件名显示处理方法及移动终端
CN106294523A (zh) * 2015-06-24 2017-01-04 华平智慧信息技术（深圳）有限公司 一种基于有限列表项显示大数据项的list控件及方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102436336A (zh) * 2010-09-29 2012-05-02 腾讯科技（深圳）有限公司 一种展示用户资料的方法及装置
US20150100884A1 (en) * 2013-10-08 2015-04-09 Nvidia Corporation Hardware overlay assignment
CN106294523A (zh) * 2015-06-24 2017-01-04 华平智慧信息技术（深圳）有限公司 一种基于有限列表项显示大数据项的list控件及方法
CN105827822A (zh) * 2016-01-29 2016-08-03 维沃移动通信有限公司 一种文件名显示处理方法及移动终端

Similar Documents

Publication Publication Date Title
WO2018223354A1 (fr) Procédé et système d'enregistrement de présence à base de positionnement
WO2018170887A1 (fr) Procédé et système d'affichage de liste de mégadonnées
WO2018170888A1 (fr) Procédé et système de combinaison et de sélection de sous-commande de liste de mégadonnées
WO2018157330A1 (fr) Procédé et système de partitionnement de mégadonnées
WO2018157391A1 (fr) Procédé et système d'évaluation de mégadonnées en entreprise
WO2018223346A1 (fr) Procédé et système de positionnement dans un partage de photographies
WO2018223355A1 (fr) Procédé et système de mise en œuvre d'un positionnement de carte de jeu
WO2018157331A1 (fr) Procédé et système de stockage appliqués à des mégadonnées
WO2018223375A1 (fr) Procédé et système de contrôle et de rappel de trafic de terminal
WO2018157333A1 (fr) Procédé et système de traitement de mégadonnées
WO2018209586A1 (fr) Procédé et système de positionnement bluetooth
WO2018157392A1 (fr) Procédé et système pour déterminer les entreprises affiliées sur la base de mégadonnées
WO2018161344A1 (fr) Procédé et système de planification d'itinéraire de camion d'incendie pour système de protection contre les incendies urbains
WO2018157332A1 (fr) Procédé et système statistiques appliqués à des mégadonnées
WO2018209550A1 (fr) Procédé et système de mise à jour de système de terminal
WO2018165839A1 (fr) Procédé et système de mise en œuvre de chenilles distribuées
WO2018209502A1 (fr) Procédé et système de groupement pour applications de terminal
WO2018165837A1 (fr) Procédé et système pour recuperer des informations à partir d'un réseau
WO2018209504A1 (fr) Procédé et système de gestion d'application de terminal sur la base d'un groupe
WO2018223376A1 (fr) Procédé et système de commande de la luminosité d'un terminal
WO2018223374A1 (fr) Procédé et système de notification en temps opportun pour facturation de terminal
WO2018218614A1 (fr) Procédé et système de traitement d'appel basé sur une identification d'empreinte digitale
WO2018218804A1 (fr) Procédé et système d'identification hybride de terminal
WO2018176223A1 (fr) Procédé et système de mise en oeuvre clonée pour message instantané
WO2018209549A1 (fr) Procédé et système de division d'intervalle vidéo de terminal

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17901864

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 22/01/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 17901864

Country of ref document: EP

Kind code of ref document: A1