CN109857791B - Data batch processing method and device - Google Patents
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Abstract
The invention provides a data batch processing method and device, and relates to the technical field of data processing. The method comprises the steps of receiving a selection instruction transmitted by an input device, determining computing software matched with the selection instruction according to the selection instruction, selecting a database matched with the computing software according to a preset computing script, adapting a plurality of setting conditions according to the database, importing parameters related to the setting conditions in batches according to the input device, and finally generating a parameter list according to the imported parameters. The invention provides a data batch processing method and device, which have the advantage of being convenient for a user to process batch data.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data batch processing method and device.
Background
At present, with the continuous generation of various computing software, a user can utilize the computing software to perform computation more conveniently and rapidly.
However, at present, some computing software has relatively high threshold, needs to know a lot of complex commands for one time of computation, increases the operation difficulty of users, and especially when the computing amount is more, the users have difficulty in importing a large amount of data.
In view of this, how to solve the above problems is an important point of attention of those skilled in the art.
Disclosure of Invention
Therefore, the present invention is directed to a data batch processing method, so as to solve the problem that the user is hard to import a large amount of data in the prior art.
Another object of the present invention is to provide a data batch processing apparatus, so as to solve the problem that a user is hard to import a large amount of data in the prior art.
In order to achieve the above object, the technical scheme adopted by the embodiment of the invention is as follows:
in one aspect, an embodiment of the present invention provides a data batch processing method, where the data batch processing method includes:
receiving a selection instruction transmitted by an input device;
determining computing software matched with the selection instruction according to the selection instruction;
selecting a database matched with the computing software according to a preset computing script;
adapting a plurality of setting conditions according to the database;
introducing parameters associated with the setting conditions in batches according to the input device;
and generating a parameter list according to the imported parameters.
On the other hand, the embodiment of the invention also provides a data batch processing device, which comprises:
the information receiving unit is used for receiving a selection instruction transmitted by an input device;
the matching unit is used for determining calculation software matched with the selection instruction according to the selection instruction;
the selection unit is used for selecting a database matched with the computing software according to a preset computing script;
a condition adapting unit adapted to adapt a plurality of setting conditions according to the database;
a parameter importing unit, configured to import, in batch, parameters associated with the setting conditions according to the input device;
and the list generation unit is used for generating a parameter list according to the imported parameters.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a data batch processing method and device, which are characterized in that a selection instruction transmitted by an input device is received, then calculation software matched with the selection instruction is determined according to the selection instruction, then a database matched with the calculation software is selected according to a preset calculation script, then a plurality of setting conditions are adapted according to the database, then parameters related to the setting conditions are introduced in batches according to the input device, and finally a parameter list is generated according to the introduced parameters. According to the method and the system, the database of the computing software is selected by utilizing the computing script, so that a plurality of setting conditions can be adapted, a user can conveniently import data in batches according to the setting conditions, the user can conveniently process the batch data, meanwhile, after the user imports the batch data, the server can also generate a parameter list, the user can check the imported parameters, and the requirements of the user are met.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a schematic diagram of functional modules of a server according to an embodiment of the present invention.
Fig. 2 shows a flowchart of a data batch processing method according to an embodiment of the present invention.
Fig. 3 shows a flow chart of sub-steps of step S109 in fig. 2.
Fig. 4 is a schematic block diagram of a data batch processing device according to an embodiment of the present invention.
Icon: 10-a server; 12-memory; 13-a memory controller; 14-a processor; 100-a data batch processing device; 110-an information receiving unit; 120-assigning unit; 130-a matching unit; 140-a selection unit; 150-a condition adaptation unit; 160-a parameter importing unit; 170-a list generation unit; 180-a calculation unit; 190-information display unit.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, it should also be noted that, unless explicitly specified and defined otherwise, the terms "connected", "connected" and "connected" should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art. Some embodiments of the present invention are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
First embodiment
As shown in fig. 1, a functional block diagram of a server 10 provided by the present invention is shown. The server 10, as shown in fig. 1, is a schematic diagram of functional modules of the server 10 provided by the present invention. The server 10 includes a data batch processing device 100, a memory 12, a memory controller 13, and a processor 14.
The memory 12, the memory controller 13 and the processor 14 are electrically connected directly or indirectly to each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The data batch processing device 100 includes at least one software functional module that may be stored in the memory 12 in the form of software or firmware (firmware) or cured in an Operating System (OS) of the server 10. The processor 14 is configured to execute executable modules stored in the memory 12, such as software functional modules or computer programs included in the data batch processing device 100.
The Memory 12 may be, but is not limited to, a random access Memory 12 (Random Access Memory, RAM), a Read Only Memory 12 (ROM), a programmable Read Only Memory 12 (Programmable Read-Only Memory, PROM), an erasable Read Only Memory 12 (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory 12 (Electric Erasable Programmable Read-Only Memory, EEPROM), etc. The memory 12 is configured to store a program, and the processor 14 executes the program after receiving an execution instruction, and the method executed by the server 10 defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 14 or implemented by the processor 14.
The processor 14 may be an integrated circuit chip having signal processing capabilities. The processor 14 may be a general-purpose processor 14, including a central processing unit 14 (Central Processing Unit, CPU for short), a network processor 14 (Network Processor, NP for short), etc.; but may also be a digital signal processor 14 (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. The general purpose processor 14 may be a microprocessor 14 or the processor 14 may be any conventional processor 14 or the like.
Referring to fig. 2, a flowchart of a data batch processing method according to a preferred embodiment of the invention is shown. The specific flow shown in fig. 2 will be described in detail.
Step S101, receiving a calculation script name and remarks transmitted by an input device.
In this embodiment, since there are many calculation scripts in the server 10, in order to facilitate centralized management of the user, the user may first input the name and remarks of the calculation scripts through the input device, for example, designate the calculation scripts as a. The output device in this embodiment may be a device such as a keyboard or a touch screen, and this embodiment is not limited in any way.
Step S102, assigning the names and remarks to a preset calculation script.
After receiving the name and remarks of the calculation script input by the user, the server 10 assigns the name and remarks to a preset calculation script, where the preset calculation script may also be a script selected by the user.
Step S103, receiving a selection instruction transmitted by an input device.
When the operation of the software is needed, the user needs to select the corresponding software, and because of the large number of the software, the user can select according to the name of the software when selecting, namely the selection instruction can comprise the name of the software.
When a user inputs a selection instruction, the user may first open a computation script, input a software name in the computation script, or directly input the selection instruction in the server 10 or directly open target computation software, and simultaneously the opened software is associated with the computation script.
Step S104, determining computing software matched with the selection instruction according to the selection instruction.
After the server 10 has acquired the selection instruction, computing software matching the selection quality can be determined according to the selection instruction.
Step S105, selecting a database matched with the computing software according to a preset computing script.
In this embodiment, each computing software has a database matched to it, where after the computing software is determined, the computing script can be matched to the database of the computing software.
Step S106, adapting a plurality of setting conditions according to the database.
Since the database actually provides the conditions required by the computing software during the running process of the computing software, that is, the data required by the computing software, such as temperature, pressure, etc., when the computing is required, the server 10 can obtain a plurality of setting conditions of the computing software selected by the user by using the computing script after the computing script is adapted to the database.
Meanwhile, in the process of acquiring the setting condition by the server 10, the calculation software may or may not be executed, which is not limited in this embodiment.
Step S107, receiving a data type selection instruction of the input device, where the data type selection instruction includes a fixed data type and a step change data type.
For some parameters, the content of Mn element may not be a constant value, but may be a range between 2% and 10%, and during the importing process, the content is not a constant value, so when adapting to a plurality of setting conditions, a data type selection instruction input by a user through an input device needs to be accepted, where the data type selection instruction includes a fixed data type and a step change data type, the fixed data type indicates that the input parameter is a constant value, and the step change data type index input parameter is a variable value.
Step S108, importing parameters associated with the setting conditions in batches according to the input device.
After the user knows the setting conditions required by the running of the computing software, the parameters associated with the setting conditions can be imported in batches through the input device, wherein the batch import refers to that the user inputs the parameters through the input device. Because the server 10 can fully display the conditions required by the computing software to the user after the script is matched with the database, the user does not need to input parameters by using the computing software, and because for some computing software with complex operation, the user needs a certain expertise in operation, and fully displays the conditions required by the computing software to the user by using the script, the user can more conveniently input related parameters, batch importing of data is realized, and the computing software is operated simply and quickly by the user.
For example, the user selects Thermo-Calc software, which is the best and most powerful software package for thermodynamic calculations, which is widely used for various thermodynamic calculations such as stable and meta-stable heterogeneous phase balances, phase numbers, and their compositions. After the script is used to match the database of the software, the server 10 can obtain the initial conditions of the software, that is, the conditions required in the calculation process, such as air pressure, initial temperature, amount of substances, etc., and after the user can intuitively see the initial conditions, the user can introduce corresponding parameters, that is, the initial conditions required to be set in the condition setting, such as air pressure p=100000 Pa, initial temperature t=1000k, amount of substances n=1mol; setting a coordinate axis variable (fixed here as a temperature range) in a temperature interval and calculating a spacing (step); clicking "new" on the right side of the component setting column, opening the periodic table of elements, clicking the kind of element participating in the calculation, clicking "confirm", and generating a component setting input box of the selected element below.
Step S109, when the data type selection instruction is a step change data type, generating a plurality of step parameters according to the imported parameters.
In this embodiment, when the data type selection instruction is a step change data type, the parameters to be imported by the user include a range interval and a step value. The range interval refers to a range where parameters of the condition can be changed during execution of the calculation software, and since the server 10 needs a certain numerical value when performing calculation, when the range interval is in the range interval, a plurality of specific step parameters are needed, that is, parameters which change at equal intervals in the range interval, for example, mn element is set to 2-10%, step value is set to 2%, and the system automatically generates Mn components to generate operation parameters of 5 times of calculation according to 2%,4%,6%,8% and 10% in sequence.
Wherein, step S109 includes:
substep S1091 determines the initial value in the range interval as the first step size parameter.
In this embodiment, the range interval input by the user is the initial value and the end value, the range between the initial value and the end value is the range interval of the parameter, and the server 10 automatically uses the initial value as the first step parameter, i.e. determines the first parameter in the range interval.
In the substep S1092, a second step size parameter is determined according to the first step size parameter and the step size value.
After determining the first step size parameter, the server 10 further has the first step size parameter and the step size value to determine the second step size parameter, where the method adopted in this embodiment is to add the step size value to the first step size parameter to obtain the second step size parameter, and of course, in other embodiments, other manners may be adopted to obtain the second step size parameter, for example, to obtain the second step size parameter by multiplying the step size value by the first step size parameter, which is not limited in this embodiment.
Sub-step S1093, the step of determining the step size parameter is looped until the determined step size parameter is greater than the ending value of the range interval.
When the second step size parameter is calculated, the server 10 continues to loop through a third step size parameter, a fourth step size parameter, etc., wherein it is understood that the third step size parameter is obtained by adding the second step size parameter to the step size value, and the fourth step size parameter is obtained by adding the third step size parameter to the step size value.
Further, when the determined step size parameter is greater than the ending value of the range section, the step size parameter is determined, and the server 10 automatically deletes the parameter with the step size parameter greater than the range section, for example, the range section is 2-10%, the step size value is 2%, and when the fifth step size parameter is 10%, the server 10 calculates again to obtain the sixth step size parameter 12% because the fifth step size parameter is not greater than the ending value of the range section. Since the sixth step size parameter is larger than the ending value of the range section, the determined step size parameter is ended while deleting the sixth step size parameter.
Step S110, a parameter list is generated according to the imported parameters.
After the user imports the batch data, the server 10 may generate a parameter list, where the extended parameter list in this embodiment may be a current page of the user input parameters, or may refer to a page that the server 10 jumps after the user input parameters are completed, for example, the user input parameters are displayed in a list form, which is not limited in this embodiment.
Because the parameter list is generated, the application side can enable the user to preview the input parameter value so as to ensure that whether the information is wrong or not, meanwhile, the parameter list also comprises set script information, calculation software information and the like, if the information is wrong, the user can click a 'save' button, the calculation script information is saved to the server 10, then the user can export a script for inputting calculation software, and the operation of data batch processing is completed, so that the method is more convenient and quick.
Step S111, calculating the parameters in the parameter list by using calculation software, and obtaining a calculation result.
After the user inputs the related parameters, the user can choose to export the script, or can directly send a calculation instruction to the server 10, so that the server 10 calculates the parameters in the parameter list by using the calculation software, and obtains the calculation result.
Step S112, transmitting the calculation result to a display device for display.
After the server 10 acquires the calculation structure, the calculation is transmitted to a display device for display, so that the user can intuitively see the file result, and the user operation is simpler and more convenient.
Second embodiment
The preferred embodiment of the present invention provides a functional unit schematic of the data batch processing apparatus 100 shown in fig. 1. It should be noted that, the basic principle and the technical effects of the data batch processing apparatus 100 provided in this embodiment are the same as those of the foregoing embodiments, and for brevity, reference may be made to the corresponding contents of the foregoing embodiments for the description of the embodiments of the present invention. The data batch processing apparatus 100 includes:
an information receiving unit 110, configured to receive a calculation script name and remarks transmitted by an input device;
it is understood that step S101 may be performed by the information receiving unit 110.
And the assignment unit 120 is configured to assign the name and remarks to the preset calculation script.
It is understood that step S102 may be performed by the assignment unit 120.
The information receiving unit 110 is configured to receive a selection instruction transmitted by an input device.
It is understood that step S103 may be performed by the information receiving unit 110.
And the matching unit 130 is used for determining computing software matched with the selection instruction according to the selection instruction.
It is understood that step S104 may be performed by the matching unit 130.
And the selection unit 140 is used for selecting a database matched with the computer software according to a preset calculation script.
It is understood that step S105 may be performed by the selection unit 140.
The condition adapting unit 150 is configured to adapt a plurality of setting conditions according to the database.
It is understood that step S106 may be performed by the condition adaptation unit 150.
An information receiving unit 110 for receiving a data type selection instruction of the input device.
It is understood that step S107 may be performed by the information receiving unit 110.
A parameter importing unit 160, configured to import, in batch, parameters associated with the setting conditions according to the input device.
It is understood that step S108 may be performed by the parameter import unit 160.
The list generating unit 170 is configured to generate a plurality of step parameters according to the imported parameters when the data type selection instruction is a step change data type.
It is understood that step S109 may be performed by the list generation unit 170.
Wherein the list generation unit 170 includes:
and the step size parameter determining module is used for determining the initial value in the range interval as a first step size parameter.
It will be appreciated that substep S1091 may be performed by the step size parameter determination module.
The step size parameter determining module is further used for determining a second step size parameter according to the first step size parameter and the step size value.
The step size parameter determining module is further configured to loop through the step of determining the step size parameter until the determined step size parameter is greater than the ending value of the range interval.
It will be appreciated that substep S1093 may be performed by the step size parameter determination module.
The list generating unit 170 is further configured to generate a parameter list according to the imported parameters.
It is understood that step S110 may be performed by the list generation unit 170.
The calculating unit 180 is configured to calculate the parameters in the parameter list by using calculation software, and obtain a calculation result.
It is understood that step S111 may be performed by the calculation unit 180.
And the information display unit 190 is configured to transmit the calculation result to a display device for display.
It is understood that step S112 may be performed by the information display unit 190.
In summary, the present invention provides a method and an apparatus for batch processing of data, which are characterized in that a selection instruction transmitted by an input device is received, then computing software matched with the selection instruction is determined according to the selection instruction, then a database matched with the computing software is selected according to a preset computing script, then a plurality of setting conditions are adapted according to the database, then parameters associated with the setting conditions are introduced in batches according to the input device, and finally a parameter list is generated according to the introduced parameters. According to the method and the system, the database of the computing software is selected by utilizing the computing script, so that a plurality of setting conditions can be adapted, a user can conveniently import data in batches according to the setting conditions, the user can conveniently process the batch data, meanwhile, after the user imports the batch data, the server can also generate a parameter list, the user can check the imported parameters, and the requirements of the user are met.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
Claims (6)
1. The data batch processing method is characterized by comprising the following steps of:
receiving a selection instruction transmitted by an input device;
determining computing software matched with the selection instruction according to the selection instruction;
selecting a database matched with the computing software according to a preset computing script;
adapting a plurality of setting conditions according to the database; the method comprises the steps that conditions required by the operation of the calculation software are provided by a database in the operation process of the calculation software, and when calculation is required, data required by the calculation software comprise temperature and pressure data;
introducing parameters associated with the setting conditions in batches according to the input device;
generating a parameter list according to the imported parameters;
before the step of generating the parameter list according to the imported parameters, the data batch processing method further comprises the following steps:
receiving a data type selection instruction of the input device, wherein the data type selection instruction comprises a fixed data type and a step change data type;
the step of generating the parameter list according to the imported parameters comprises the following steps:
when the data type selection instruction is a step change data type, generating a plurality of step parameters according to the imported parameters, wherein the imported parameters comprise a range interval and a step value;
the step of generating a plurality of step parameters according to the imported parameters comprises the following steps:
determining an initial value in the range interval as a first step size parameter;
determining a second step size parameter according to the first step size parameter and the step size value;
and the step of determining the step length parameter is circulated until the determined step length parameter is larger than the ending value of the range interval.
2. The data batch processing method according to claim 1, wherein before the step of selecting a database matching the computing software according to a preset computing script, the data batch processing method further comprises:
receiving a calculation script name and remarks transmitted by an input device;
and assigning the names and remarks to the preset calculation script.
3. The data batch processing method according to claim 1, wherein after the step of generating the parameter list from the imported parameters, the data batch processing method further comprises:
calculating parameters in the parameter list by using calculation software, and obtaining a calculation result;
and transmitting the calculation result to a display device for display.
4. A data batch processing apparatus, characterized in that the data batch processing apparatus comprises:
the information receiving unit is used for receiving a selection instruction transmitted by an input device;
the matching unit is used for determining calculation software matched with the selection instruction according to the selection instruction;
the selection unit is used for selecting a database matched with the computing software according to a preset computing script;
a condition adapting unit adapted to adapt a plurality of setting conditions according to the database; the method comprises the steps that conditions required by the operation of the calculation software are provided by a database in the operation process of the calculation software, and when calculation is required, data required by the calculation software comprise temperature and pressure data;
a parameter importing unit, configured to import, in batch, parameters associated with the setting conditions according to the input device;
a list generating unit for generating a parameter list according to the imported parameters;
the information receiving unit is further configured to receive a data type selection instruction of the input device, where the data type selection instruction includes a fixed data type and a step change data type;
the list generation unit is further used for generating a plurality of step parameters according to the imported parameters when the data type selection instruction is a step change data type, wherein the imported parameters comprise a range interval and a step value;
the list generation unit includes:
the step size parameter determining module is used for determining an initial value in the range interval as a first step size parameter;
the step size parameter determining module is further used for determining a second step size parameter according to the first step size parameter and the step size value;
the step size parameter determining module is further configured to loop through the step of determining the step size parameter until the determined step size parameter is greater than the ending value of the range interval.
5. The data batch processing device according to claim 4, wherein the data batch processing device further comprises:
the information receiving unit is also used for receiving the name and remarks of the calculation script transmitted by an input device;
and the assignment unit is used for assigning the name and remarks to the preset calculation script.
6. The data batch processing device of claim 4, further comprising:
the calculating unit is used for calculating the parameters in the parameter list by using calculating software and obtaining a calculation result;
and the information display unit is used for transmitting the calculation result to a display device for display.
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| CN110837500B (en) * | 2019-10-12 | 2023-07-14 | 中国平安财产保险股份有限公司 | Data screening method and device based on socal embedded window and computer equipment |
| CN111274667B (en) * | 2019-12-13 | 2023-06-02 | 成都材智科技有限公司 | Cross-scale material computing software integrated computing system and method |
| CN112765216A (en) * | 2021-01-19 | 2021-05-07 | 澜途集思生态科技集团有限公司 | Data batch processing method based on Internet of things |
| CN114116602A (en) * | 2021-11-24 | 2022-03-01 | 中国银行股份有限公司 | Batch data file downloading method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105139184A (en) * | 2015-08-10 | 2015-12-09 | 北京思特奇信息技术股份有限公司 | Diversified data calculation method and diversified data calculation system |
| WO2017143827A1 (en) * | 2016-02-25 | 2017-08-31 | 广州市动景计算机科技有限公司 | Advertisement matching method and device |
| CN107423419A (en) * | 2017-07-31 | 2017-12-01 | 信利光电股份有限公司 | The batch introduction method and system of a kind of Parameter File |
| CN107909485A (en) * | 2017-10-20 | 2018-04-13 | 平安科技（深圳）有限公司 | Benefit data generation method and device based on no Claims Resolution |
| CN108241720A (en) * | 2016-12-27 | 2018-07-03 | 北京京东尚科信息技术有限公司 | Data processing method and data processing equipment |
| CN108388507A (en) * | 2018-01-24 | 2018-08-10 | 深圳市买买提信息科技有限公司 | Batch script testing method and device |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070061144A1 (en) * | 2005-08-30 | 2007-03-15 | Caterpillar Inc. | Batch statistics process model method and system |
| US7984045B2 (en) * | 2006-03-07 | 2011-07-19 | Microsoft Corporation | Scalable data extraction from data stores |
| US20100030649A1 (en) * | 2008-06-27 | 2010-02-04 | Trans Union Llc | Method and system for batch execution of variable input data |
| US8290920B2 (en) * | 2009-09-30 | 2012-10-16 | Zynga Inc. | System and method for remote updates |
| US10891106B2 (en) * | 2015-10-13 | 2021-01-12 | Google Llc | Automatic batch voice commands |
-
2018
- 2018-11-20 CN CN201811386027.3A patent/CN109857791B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105139184A (en) * | 2015-08-10 | 2015-12-09 | 北京思特奇信息技术股份有限公司 | Diversified data calculation method and diversified data calculation system |
| WO2017143827A1 (en) * | 2016-02-25 | 2017-08-31 | 广州市动景计算机科技有限公司 | Advertisement matching method and device |
| CN108241720A (en) * | 2016-12-27 | 2018-07-03 | 北京京东尚科信息技术有限公司 | Data processing method and data processing equipment |
| CN107423419A (en) * | 2017-07-31 | 2017-12-01 | 信利光电股份有限公司 | The batch introduction method and system of a kind of Parameter File |
| CN107909485A (en) * | 2017-10-20 | 2018-04-13 | 平安科技（深圳）有限公司 | Benefit data generation method and device based on no Claims Resolution |
| CN108388507A (en) * | 2018-01-24 | 2018-08-10 | 深圳市买买提信息科技有限公司 | Batch script testing method and device |
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