CN112632147B - Data differentiation comparison method, system and storage medium - Google Patents
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Abstract
The invention discloses a data differentiation comparison method, a system and a storage medium, wherein the method comprises the following steps: acquiring a data source set and an interface request data set, wherein the data source set comprises a first keyword and first interface data, and the interface request data set comprises a second keyword and second interface data; extracting first interface data corresponding to the first key words which are the same as the second key words from the data source set, and storing the first interface data corresponding to the first key words into a data set to be compared; and circularly comparing the position relation between the second interface data and the data in the data set to be compared, and processing the key or key value meeting the preset condition by adopting a preset processing mode. The invention can complete the deep data comparison process without paying attention to the sequence in the data. The invention can be widely applied to the technical field of data processing.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data differentiation comparison method, a data differentiation comparison system and a storage medium.
Background
In the software development process, the transmission formats related to computer data are various, and at present, data comparison is mainly divided into two modes: key value alignment and sequence alignment.
The key value comparison is to compare the key name with the key value of the analyzed data, and mark the differentiated data by means of adding color, background and the like so as to achieve the purpose of comparison. The comparison method can not be used for deep nested comparison, can only be used for comparing simple key values to data, has low data comparison customization and low comparison efficiency.
The sequential comparison is to read row by row and compare the same row by row, and the differentiated data of the same row is distinguished by marks such as color, background and the like. The comparison method can not be used for comparing in a disordered way, and can only be used for manually adjusting the text sequence and then comparing, so that the comparison method is inconvenient and inflexible, and the software development efficiency is affected.
In summary, the existing data comparison method has the problem that the data cannot be compared in disorder or in deep level.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides a data differentiation comparison method, a data differentiation comparison system and a storage medium, which can perform data comparison in depth without paying attention to text sequence.
According to an embodiment of the first aspect of the present invention, a data differential comparison method includes the following steps:
acquiring a data source set and an interface request data set, wherein the data source set comprises a first keyword and first interface data, and the interface request data set comprises a second keyword and second interface data;
extracting first interface data corresponding to the first key words which are the same as the second key words from the data source set, and storing the first interface data corresponding to the first key words into a data set to be compared;
and circularly comparing the position relation between the second interface data and the data in the data set to be compared, and processing the key or key value meeting the preset condition by adopting a preset processing mode.
The data difference comparison method provided by the embodiment of the invention has at least the following beneficial effects: according to the embodiment, the first interface data corresponding to the first key which is the same as the second key is firstly extracted from the data source set, the first interface data are stored in the data set to be compared, then the position relation between the second interface data and the data in the data set to be compared is circularly compared, and the key or key value meeting the preset condition is processed in a preset processing mode, so that the whole data comparison process can be completed without paying attention to the sequence in the data.
According to some embodiments of the present invention, the circularly comparing the positional relationship between the second interface data and the data in the data set to be compared, and processing the key or the key value meeting the preset condition by adopting a preset processing manner, including an obtaining step and a processing step;
the acquisition step comprises the following steps:
acquiring keys of the second interface data;
the processing step comprises a first judging step, a second judging step and a third judging step:
the first judging step comprises the following steps:
judging whether the keys of the second interface data meet the first preset requirement, if so, executing a second judging step, otherwise, serializing the keys of the second interface data and replacing the keys of the second interface data; the first preset requirement is that the key of the second interface data is positioned in the data set to be compared;
the second judging step is as follows:
judging whether the key value of the key of the second interface data meets a second preset requirement, if so, serializing the key value of the second interface data and replacing the key value, otherwise, executing a third judging step; the second preset requirement is that the keys of the second interface data are the same as the keys of the data set to be compared and the key values are different;
the third judging step includes:
when the key and the key value of the second interface data are the same as the key and the key value of the data set to be compared and meet the first preset type, executing the obtaining step;
and when the key and the key value of the second interface data are the same as the key and the key value of the data set to be compared and meet a second preset type, circularly traversing the key value of the second interface data and executing the obtaining step.
According to some embodiments of the invention, after the step of serializing and replacing the keys of the second interface data or the step of serializing and replacing the key values of the second interface data, the method further comprises the steps of:
and marking the key or key value of the second interface data by adopting a preset marking mode.
According to some embodiments of the invention, after the step of obtaining the set of data sources, the method further comprises the steps of:
and carrying out slicing processing on the data in the data source set by adopting a throttling mode.
According to some embodiments of the invention, after the step of obtaining the interface request data set, the method further comprises the steps of:
and carrying out slicing processing on the data in the interface request data set in an asynchronous mode.
According to some embodiments of the invention, after the step of obtaining the data source set and the interface request data set, the method further comprises the steps of:
formatting data in the data source set and data in the interface request data set.
According to an embodiment of the second aspect of the present invention, a data differential comparison system includes:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring a data source set and an interface request data set, the data source set comprises a first keyword and first interface data, and the interface request data set comprises a second keyword and second interface data;
the extraction module is used for extracting first interface data corresponding to the first key words which are the same as the second key words from the data source set, and storing the first interface data corresponding to the first key words into a data set to be compared;
and the comparison module is used for circularly comparing the position relation between the second interface data and the data in the data set to be compared, and processing the key or the key value meeting the preset condition by adopting a preset processing mode.
The data difference comparison system provided by the embodiment of the invention has at least the following beneficial effects: according to the embodiment, the extraction module firstly extracts the first interface data corresponding to the first key word identical to the second key word in the data source set, then the comparison module is adopted to circularly compare the position relation between the second interface data and the data in the data set to be compared, and the key or key value meeting the preset condition is processed in a preset processing mode, so that the whole data comparison process can be completed without paying attention to the sequence in the data.
According to some embodiments of the invention, the comparison module comprises an acquisition sub-module and a processing sub-module;
the acquisition sub-module is used for acquiring keys of the second interface data;
the processing sub-module is used for executing a first judging step, a second judging step and a third judging step;
the first judging step comprises the following steps:
judging whether the keys of the second interface data meet the first preset requirement, if so, executing a second judging step, otherwise, serializing the keys of the second interface data and replacing the keys of the second interface data; the first preset requirement is that the key of the second interface data is positioned in the data set to be compared;
the second judging step is as follows:
judging whether the key value of the key of the second interface data meets a second preset requirement, if so, serializing the key value of the second interface data and replacing the key value, otherwise, executing a third judging step; the second preset requirement is that the keys of the second interface data are the same as the keys of the data set to be compared and the key values are different;
the third judging step includes:
returning to the acquisition sub-module when the key and the key value of the second interface data are the same as the key and the key value of the data set to be compared and meet a first preset type;
and when the key and the key value of the second interface data are the same as the key and the key value of the data set to be compared and meet a second preset type, circularly traversing the key value of the second interface data and returning to the acquisition sub-module.
According to an embodiment of the third aspect of the present invention, a data differential comparison system includes:
at least one memory for storing a program;
at least one processor configured to load the program to perform the data differential comparison method provided by the embodiment of the first aspect.
The data difference comparison system provided by the embodiment of the invention has at least the following beneficial effects: in this embodiment, the data difference comparison method provided in the embodiment of the first aspect is executed after the program is loaded by at least one processor, so that the whole data comparison process can complete the deep data comparison process without paying attention to the sequence in the data.
A storage medium according to an embodiment of the fourth aspect of the present invention has stored therein a processor-executable program which, when executed by a processor, is for performing the data difference comparison method provided by the embodiment of the first aspect.
According to the storage medium of the embodiment of the invention, at least the following beneficial effects are achieved: the data difference comparison method provided by the embodiment of the first aspect is executed by the processor when the loaded program is executed, so that the whole data comparison process can complete the deep data comparison process without paying attention to the sequence in the data.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The invention is further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a data differencing comparison method according to an embodiment of the present invention;
fig. 2 is a flowchart of a data differentiation comparison method in an application process according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, the meaning of a number is one or more, the meaning of a number is two or more, and greater than, less than, exceeding, etc. are understood to exclude the present number, and the meaning of a number is understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless explicitly defined otherwise, terms such as arrangement, installation, connection, etc. should be construed broadly and the specific meaning of the terms in the present invention can be reasonably determined by a person skilled in the art in combination with the specific contents of the technical scheme.
In the description of the present invention, the descriptions of the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Referring to fig. 1, an embodiment of the present invention provides a data difference comparison method, where the implementation may be applied to a processing end, where the processing end may be a computer processor, a processor corresponding to a platform, or a server; or a combination of several different types of servers.
Specifically, the present embodiment includes the steps of:
s1, acquiring a data source set and an interface request data set. In the actual application process, the data in the data source set may be manually input data on the interactive interface or automatically imported data through some software or system. The data in the interface request data set is the data obtained after the processing end performs corresponding interception processing on the interface request, and the data is the part of data which needs to be presented with differences in the subsequent processing process.
In some embodiments, when data in the data source set is obtained, the processing end performs fragment display on the data in the data source set in a throttling mode, so that bandwidth consumption is reduced, and response speed of interface data is increased.
In some embodiments, when the data in the interface request data set is obtained, the processing end may perform a slicing display on the data in the intercepted interface request data set in an asynchronous manner.
In some embodiments, after the data in the data source set and the data in the interface request data set are acquired, formatting processing may also be performed on the data in the data source set and the data in the interface request data set, so that the original data structure is clearly presented in the processing process, and thus, the difference of the data is more clearly displayed.
S2, extracting first interface data corresponding to the first key words identical to the second key words from the data source set, and storing the first interface data corresponding to the first key words into the data set to be compared. Specifically, the data source set includes a first key and first interface data, and the interface request data set includes a second key and second interface data. In the step, if first interface data corresponding to a first keyword identical to a second keyword is extracted from the data source set, executing step S3; if the first interface data corresponding to the first keyword identical to the second keyword is not extracted from the data source set, generating prompt information, wherein the prompt information can be 'information to be compared is not found'.
In the processing process, the data source set comprises all interface keywords and interface data, namely the interface keywords and the interface data which are required to be subjected to data difference comparison at present and the interface keywords and the interface data which are not required to be subjected to data difference comparison at present, so that the data quantity is very large. Therefore, in order to save the workload of data difference comparison in the subsequent processing process, the embodiment screens out the interface data which is the same as the second key word and corresponds to the first key word from the data source set, and saves the data to the data set to be compared, so that the subsequent processing process is quickened, and the processing efficiency is improved.
S3, circularly comparing the position relation between the second interface data and the data in the data set to be compared, and processing the key or key value meeting the preset condition in a preset processing mode. Specifically, the preset processing mode includes different color display of the displayed data and different font display of the displayed data. The preset conditions include a first preset requirement and a second preset requirement. The first preset requirement is that keys of the second interface data are located in the data set to be compared; the second preset requirement is that the keys of the second interface data are the same as the keys of the data set to be compared and the key values are different.
In some embodiments, step S3 includes an acquisition step and a processing step.
Specifically, the acquisition steps are: and acquiring keys of the second interface data. The processing step includes a first judging step, a second judging step, and a third judging step.
The first judging step is to judge whether the keys of the second interface data meet the first preset requirement, if yes, the second judging step is executed; otherwise, the keys of the second interface data are serialized and replaced, where replacement refers to replacing one element with another element in a certain complex, and in this embodiment, the key a with semantic label and wrapping the serialized keys of the second interface data replaces the key a itself.
And the second judging step is to judge whether the key value of the key of the second interface data meets the second preset requirement, if so, the key value of the second interface data is serialized and replaced, otherwise, the third judging step is executed.
The third judging step includes the steps of:
when the key and the key value of the second interface data are the same as those of the data set to be compared and meet the first preset type, executing the obtaining step;
and when the key and the key value of the second interface data are the same as those of the data set to be compared and meet the second preset type, circularly traversing the key value of the second interface data and executing the acquisition step.
In the above embodiment, the first preset type may be an object type; the second preset type may be an Array type.
According to the embodiment, after different information of the interface data is judged in a progressive mode, corresponding processing is carried out on the interface data, so that in the data comparison process, the deep data comparison process can be completed without paying attention to the sequence in the data.
In addition, when the above embodiment is applied to a specific operation process, as shown in fig. 2, it specifically includes the following steps:
step one, acquiring a data source, and storing the data source in the set A. The data source is a parameter of an interface defined in the development process, and can be data input in an interactive interface or automatically imported data. Each piece of data contains two fields: interface keywords and interface parameter data.
Inquiring the intercepted interface data during transmission, and storing the intercepted interface data to the set B. In the step, the intercepted interface data is sent to a visual interface in a background interception mode, wherein each piece of information comprises two fields: interface keywords and interface parameter data.
And thirdly, extracting data with the same keywords as those in the set B from the set A, and storing the data into the set C.
Step four, selecting one piece of data from the set B, judging whether a key of the data exists in the set C, if not, serializing the key of the selected data and replacing the key, and simultaneously marking the data display mode as a preset color, such as red; if so, the step five is entered.
Judging whether the key and the key value type of the data selected in the step four are the same as those in the set C, if the key is the same and the key value type is different, serializing the key of the data selected in the step four and replacing the key value, and marking the data display mode as a preset color, such as red; if the keys are the same, the key value types are the same, and the keys and the key values are both object types, executing the step four; if the keys are the same, the key value types are the same, and the keys and the key values are all of the Array type, circularly traversing the key values and executing the fourth step; if the keys are the same, the key value types are the same and are all of other types, the data comparison process is ended. Other types are types other than open object type and Array type.
As can be seen from the above application process, the above embodiment can complete the deep data comparison process without paying attention to the sequence in the data.
The embodiment of the invention provides a data difference comparison system, which comprises the following components:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring a data source set and an interface request data set, the data source set comprises a first keyword and first interface data, and the interface request data set comprises a second keyword and second interface data;
the extraction module is used for extracting first interface data corresponding to the first key words which are the same as the second key words from the data source set, and storing the first interface data corresponding to the first key words into a data set to be compared;
and the comparison module is used for circularly comparing the position relation between the second interface data and the data in the data set to be compared, and processing the key or the key value meeting the preset condition by adopting a preset processing mode.
The content of the method embodiment of the invention is suitable for the system embodiment, the specific function of the system embodiment is the same as that of the method embodiment, and the achieved beneficial effects are the same as those of the method.
The embodiment of the invention provides a differentiated comparison system, which comprises:
at least one memory for storing a program;
at least one processor for loading the program to perform the data differencing comparison method of fig. 1.
The content of the method embodiment of the invention is suitable for the system embodiment, the specific function of the system embodiment is the same as that of the method embodiment, and the achieved beneficial effects are the same as those of the method.
In addition, an embodiment of the present invention also provides a storage medium in which a processor-executable program is stored, which when executed by a processor, is for performing the data difference comparison method shown in fig. 1.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of one of ordinary skill in the art without departing from the spirit of the present invention. Furthermore, embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Claims (8)
1. A method for data differencing comparison, comprising the steps of:
acquiring a data source set and an interface request data set, wherein the data source set comprises a first keyword and first interface data, and the interface request data set comprises a second keyword and second interface data;
extracting first interface data corresponding to the first key words which are the same as the second key words from the data source set, and storing the first interface data corresponding to the first key words into a data set to be compared;
circularly comparing the position relation between the second interface data and the data in the data set to be compared, and processing keys or key values meeting preset conditions in a preset processing mode;
the method comprises the steps of circularly comparing the position relation between second interface data and data in a data set to be compared, and processing keys or key values meeting preset conditions in a preset processing mode, wherein the steps comprise an acquisition step and a processing step;
the acquisition step comprises the following steps:
acquiring keys of the second interface data;
the processing step comprises a first judging step, a second judging step and a third judging step:
the first judging step comprises the following steps:
judging whether the keys of the second interface data meet the first preset requirement, if so, executing a second judging step, otherwise, serializing the keys of the second interface data and replacing the keys of the second interface data; the first preset requirement is that the key of the second interface data is positioned in the data set to be compared;
the second judging step is as follows:
judging whether the key value of the key of the second interface data meets a second preset requirement, if so, serializing the key value of the second interface data and replacing the key value, otherwise, executing a third judging step; the second preset requirement is that the keys of the second interface data are the same as the keys of the data set to be compared and the key values are different;
the third judging step includes:
when the key and the key value of the second interface data are the same as the key and the key value of the data set to be compared and meet the first preset type, executing the obtaining step;
and when the key and the key value of the second interface data are the same as the key and the key value of the data set to be compared and meet a second preset type, circularly traversing the key value of the second interface data and executing the obtaining step.
2. The data differencing comparison method according to claim 1, wherein after the step of serializing and replacing keys of the second interface data or the step of serializing and replacing key values of the second interface data, further comprising the steps of:
and marking the key or key value of the second interface data by adopting a preset marking mode.
3. The method of claim 1, further comprising, after the step of obtaining the set of data sources, the steps of:
and carrying out slicing processing on the data in the data source set by adopting a throttling mode.
4. A method of data differencing comparison according to claim 3, further comprising, after the step of obtaining the interface request data set, the steps of:
and carrying out slicing processing on the data in the interface request data set in an asynchronous mode.
5. The method of claim 4, further comprising, after the step of obtaining the data source set and the interface request data set, the steps of:
formatting data in the data source set and data in the interface request data set.
6. A data differencing comparison system, comprising:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring a data source set and an interface request data set, the data source set comprises a first keyword and first interface data, and the interface request data set comprises a second keyword and second interface data;
the extraction module is used for extracting first interface data corresponding to the first key words which are the same as the second key words from the data source set, and storing the first interface data corresponding to the first key words into a data set to be compared;
the comparison module is used for circularly comparing the position relation between the second interface data and the data in the data set to be compared, and processing keys or key values meeting preset conditions in a preset processing mode;
the comparison module comprises an acquisition sub-module and a processing sub-module;
the acquisition sub-module is used for acquiring keys of the second interface data;
the processing sub-module is used for executing a first judging step, a second judging step and a third judging step;
the first judging step comprises the following steps:
judging whether the keys of the second interface data meet the first preset requirement, if so, executing a second judging step, otherwise, serializing the keys of the second interface data and replacing the keys of the second interface data; the first preset requirement is that the key of the second interface data is positioned in the data set to be compared;
the second judging step is as follows:
judging whether the key value of the key of the second interface data meets a second preset requirement, if so, serializing the key value of the second interface data and replacing the key value, otherwise, executing a third judging step; the second preset requirement is that the keys of the second interface data are the same as the keys of the data set to be compared and the key values are different;
the third judging step includes:
returning to the acquisition sub-module when the key and the key value of the second interface data are the same as the key and the key value of the data set to be compared and meet a first preset type;
and when the key and the key value of the second interface data are the same as the key and the key value of the data set to be compared and meet a second preset type, circularly traversing the key value of the second interface data and returning to the acquisition sub-module.
7. A data differencing comparison system, comprising:
at least one memory for storing a program;
at least one processor for loading the program to perform the data differencing comparison method of any of claims 1-5.
8. A storage medium having stored therein a processor executable program which when executed by a processor is for performing the data differencing comparison method of any of claims 1-5.
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Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101242362A (en) * | 2008-03-07 | 2008-08-13 | 华为技术有限公司 | Find key value generation device and method |
CN103036692A (en) * | 2011-09-29 | 2013-04-10 | 中国移动通信集团江苏有限公司 | Method and device for generating network topologies aimed at IT supporting networks |
CN103646100A (en) * | 2013-12-20 | 2014-03-19 | 北京中电普华信息技术有限公司 | Report data organization model |
CN103838837A (en) * | 2014-02-25 | 2014-06-04 | 浙江大学 | Remote-sensing metadata integration method based on lexeme templates |
CN103885723A (en) * | 2014-03-04 | 2014-06-25 | 广东数字证书认证中心有限公司 | Digital certificate storage method, digital certificate storage system, digital certificate reading method and digital certificate reading system |
CN104853248A (en) * | 2015-05-07 | 2015-08-19 | 海信集团有限公司 | Video recommendation method and device |
CN104881426A (en) * | 2015-03-25 | 2015-09-02 | 中国人民解放军国防科学技术大学 | Keyword query method and keyword query device |
CN105404634A (en) * | 2014-09-15 | 2016-03-16 | 南京理工大学 | Key-Value data block based data management method and system |
CN107784026A (en) * | 2016-08-31 | 2018-03-09 | 杭州海康威视数字技术股份有限公司 | A kind of ETL data processing methods and device |
CN108897874A (en) * | 2018-07-03 | 2018-11-27 | 北京字节跳动网络技术有限公司 | Method and apparatus for handling data |
CN109379432A (en) * | 2018-10-31 | 2019-02-22 | 腾讯科技(深圳)有限公司 | Data processing method, device, server and computer readable storage medium |
CN109614327A (en) * | 2018-12-06 | 2019-04-12 | 北京字节跳动网络技术有限公司 | Method and apparatus for output information |
CN110245191A (en) * | 2019-06-18 | 2019-09-17 | 政采云有限公司 | Data processing method and device |
CN110347726A (en) * | 2019-07-17 | 2019-10-18 | 帷幄匠心科技(杭州)有限公司 | A kind of efficient time series data is integrated to store inquiry system and method |
CN111752955A (en) * | 2020-06-29 | 2020-10-09 | 深圳前海微众银行股份有限公司 | Data processing method, device, equipment and computer readable storage medium |
CN111797174A (en) * | 2019-04-08 | 2020-10-20 | 华为技术有限公司 | Method and apparatus for managing spatiotemporal data |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8694362B2 (en) * | 2011-03-17 | 2014-04-08 | DataPop, Inc. | Taxonomy based targeted search advertising |
US9292552B2 (en) * | 2012-07-26 | 2016-03-22 | Telefonaktiebolaget L M Ericsson (Publ) | Apparatus, methods, and computer program products for adaptive multimedia content indexing |
-
2020
- 2020-12-11 CN CN202011445037.7A patent/CN112632147B/en active Active
Patent Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101242362A (en) * | 2008-03-07 | 2008-08-13 | 华为技术有限公司 | Find key value generation device and method |
CN103036692A (en) * | 2011-09-29 | 2013-04-10 | 中国移动通信集团江苏有限公司 | Method and device for generating network topologies aimed at IT supporting networks |
CN103646100A (en) * | 2013-12-20 | 2014-03-19 | 北京中电普华信息技术有限公司 | Report data organization model |
CN103838837A (en) * | 2014-02-25 | 2014-06-04 | 浙江大学 | Remote-sensing metadata integration method based on lexeme templates |
CN103885723A (en) * | 2014-03-04 | 2014-06-25 | 广东数字证书认证中心有限公司 | Digital certificate storage method, digital certificate storage system, digital certificate reading method and digital certificate reading system |
CN105404634A (en) * | 2014-09-15 | 2016-03-16 | 南京理工大学 | Key-Value data block based data management method and system |
CN104881426A (en) * | 2015-03-25 | 2015-09-02 | 中国人民解放军国防科学技术大学 | Keyword query method and keyword query device |
CN104853248A (en) * | 2015-05-07 | 2015-08-19 | 海信集团有限公司 | Video recommendation method and device |
CN107784026A (en) * | 2016-08-31 | 2018-03-09 | 杭州海康威视数字技术股份有限公司 | A kind of ETL data processing methods and device |
CN108897874A (en) * | 2018-07-03 | 2018-11-27 | 北京字节跳动网络技术有限公司 | Method and apparatus for handling data |
CN109379432A (en) * | 2018-10-31 | 2019-02-22 | 腾讯科技(深圳)有限公司 | Data processing method, device, server and computer readable storage medium |
CN109614327A (en) * | 2018-12-06 | 2019-04-12 | 北京字节跳动网络技术有限公司 | Method and apparatus for output information |
CN111797174A (en) * | 2019-04-08 | 2020-10-20 | 华为技术有限公司 | Method and apparatus for managing spatiotemporal data |
CN110245191A (en) * | 2019-06-18 | 2019-09-17 | 政采云有限公司 | Data processing method and device |
CN110347726A (en) * | 2019-07-17 | 2019-10-18 | 帷幄匠心科技(杭州)有限公司 | A kind of efficient time series data is integrated to store inquiry system and method |
CN111752955A (en) * | 2020-06-29 | 2020-10-09 | 深圳前海微众银行股份有限公司 | Data processing method, device, equipment and computer readable storage medium |
Non-Patent Citations (3)
Title |
---|
基于Socket的数据自动复制技术设计与实现;陈亮雄;欧阳显良;杨静学;林奕霖;李昼阳;;广东水利水电(12);第53-57页 * |
模糊XML关键字近似查询方法研究;李婷;程海涛;;计算机科学(09);第222-227+232页 * |
面向复杂产品离散装配过程的数据采集和管理方法;万峰;刘检华;宁汝新;李章锦;;计算机集成制造系统(08);第163-172页 * |
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