CN109460346A - A kind of method, apparatus and storage medium of offline analysis feature data - Google Patents
A kind of method, apparatus and storage medium of offline analysis feature data Download PDFInfo
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- CN109460346A CN109460346A CN201811231385.7A CN201811231385A CN109460346A CN 109460346 A CN109460346 A CN 109460346A CN 201811231385 A CN201811231385 A CN 201811231385A CN 109460346 A CN109460346 A CN 109460346A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 92
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000003860 storage Methods 0.000 title claims abstract description 20
- 230000001960 triggered effect Effects 0.000 claims abstract description 13
- 230000006870 function Effects 0.000 claims description 17
- 238000006386 neutralization reaction Methods 0.000 claims description 4
- 230000008901 benefit Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
Abstract
The invention discloses a kind of methods of offline analysis feature data, parse applied to the performance data to parsing object, which comprises when parsing function is triggered, judge to parse under the corresponding catalogue of object with the presence or absence of performance file to be resolved；The performance file to be resolved includes performance data；When, there are when performance file to be resolved, starting multithreading carries out performance parsing to the performance data of each classification in the performance file to be resolved respectively under the catalogue；It obtains the analysis state of the performance file to be resolved and parses progress and shown in front page layout.Using method provided by the invention, the offline parsing to performance data can be realized, shorten parsing time-consuming, improve analyzing efficiency.The invention also discloses the devices and storage medium of a kind of offline analysis feature data.
Description
Technical field
The present invention relates to the method, apparatus of technical field of data storage more particularly to a kind of offline analysis feature data and
Storage medium.
Background technique
With the continuous development of computer technology, people for the equipment such as computer or server performance requirement also increasingly
It improves, in order to realize the promotion of performance, generally requires to parse corresponding performance data.In the prior art using online solution
The parsing to performance data is realized in analysis, and online analyzing refers to carries out performance data collection on one side, the property arrived on one side according to real-time collecting
Energy data are parsed, because resolution speed will receive the limitation of data collection rate, when frequently can lead to analysis feature data
Time-consuming, and efficiency is very low.
Summary of the invention
In order to solve the above technical problem existing in the prior art, the present invention provides a kind of offline analysis feature data
Method, apparatus and storage medium, can be realized the offline parsing to performance data, it is time-consuming to shorten parsing, improves analyzing efficiency.
The present invention provides a kind of methods of offline analysis feature data, carry out applied to the performance data to parsing object
Parsing, which comprises
When parsing function is triggered, judge to parse under the corresponding catalogue of object with the presence or absence of performance file to be resolved；Institute
Stating performance file to be resolved includes performance data；
When there are when performance file to be resolved, start multithreading to each in the performance file to be resolved under the catalogue
The performance data of classification carries out performance parsing respectively；
It obtains the analysis state of the performance file to be resolved and parses progress and shown in front page layout.
Optionally, the parsing function is triggered, and specifically includes:
The button that starts to parse of the front page layout is activated.
Optionally, the method also includes: when judging under the corresponding catalogue of the parsing object there is no performance to be resolved
When file, then the performance file without needing to parse is prompted in the front page layout.
Optionally, the parsing progress for obtaining the performance file to be resolved, specifically includes:
The size summation of the performance file to be resolved is obtained before parsing；
The size of analysis feature file is obtained in resolving in real time；
The size of the file of analysis feature is obtained into the solution divided by the size summation of the performance file to be resolved
Analysis progress；
The analysis state for obtaining the performance file to be resolved, specifically includes:
When the parsing progress is less than 100%, the analysis state is obtained as in parsing；When the parsing progress is
When 100%, obtaining the analysis state is to be parsed.
Optionally, the method also includes: when the analysis state is to be parsed, will the performance to be resolved it is literary
The performance data of part is saved in database, deletes the performance file to be resolved under the catalogue.
Optionally, the method also includes: when the analysis state is to be parsed, the front page layout will be described
Start parsing button to hide, display parses button again.
Optionally, the method also includes: need to parsing object carry out performance data parsing when, inquire depositing for database
Store up the analysis state in information table；The analysis state include: do not parse, resolving neutralization be parsed.
When the analysis state is not parse, is shown in the front page layout and start to parse button.
Optionally, the parsing object includes: server, memory or CPU.
The embodiment of the present application also provides a kind of device of offline analysis feature data, described device includes:
Judging unit, for judging to parse under the corresponding catalogue of object with the presence or absence of wait solve when parsing function is triggered
Analyse performance file；The performance file to be resolved includes performance data；
Resolution unit, for judging under the catalogue to start more there are when performance file to be resolved when the judging unit
Thread carries out performance parsing to the performance data of each classification in the performance file to be resolved respectively；
Obtaining unit, for obtaining the analysis state and parsing progress and in front page layout of the performance file to be resolved
Display.
The embodiment of the present application also provides a kind of storage medium, the storage medium includes the program of storage, wherein described
The method that program executes offline analysis feature data described in above-mentioned any one.
Compared with prior art, the present invention has at least the following advantages:
The method of offline analysis feature data provided by the invention is solved applied to the performance data to parsing object
Analysis judges to parse under the corresponding catalogue of object when parsing function and being triggered with the presence or absence of performance file to be resolved, due to be from
Line parsing, does not need real-time collecting performance data, does not need the real-time delivery for carrying out performance data, it is only necessary to judge whether yet
In the presence of the performance data collected；When there are when performance file to be resolved, show that there is performance data at this time waits under the catalogue
Parsing, starting multithreading carry out performance parsing to the performance data of each classification in the performance file to be resolved respectively, because
The corresponding performance file of different classes of performance data belongs to different files, can be simultaneously to more using multithreading parsing
The performance data that a difference is stored under specified directory is parsed, and the efficiency of parsing is improved；Obtain the performance to be resolved
The analysis state and parsing progress of file are simultaneously shown in front page layout, make the more intuitive process for understanding parsing of operator.Benefit
With the present invention, the offline parsing to performance data can be realized, it is time-consuming shorter compared with online analyzing, and pass through multithreading
Parsing time-consuming is further shortened in parsing, improves analyzing efficiency.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The some embodiments recorded in application, for those of ordinary skill in the art, without creative efforts,
It can also be obtained according to these attached drawings other attached drawings.
Fig. 1 is the flow chart of the method for the offline analysis feature data that the embodiment of the present application one provides；
Fig. 2 is the schematic diagram of the device for the offline analysis feature data that the embodiment of the present application two provides.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only this
Invention a part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall within the protection scope of the present invention.
Embodiment one:
The embodiment of the present application one provides a kind of method of offline analysis feature data, illustrates with reference to the accompanying drawing.
Referring to Fig. 1, which is the flow chart of the method for the offline analysis feature data that the embodiment of the present application one provides.
Described method includes following steps:
S101: when parsing function is triggered, judge to parse under the corresponding catalogue of object with the presence or absence of performance text to be resolved
Part, the performance file to be resolved includes performance data.
The parsing function is triggered, and specifically includes:
The button that starts to parse of the front page layout is activated.
Parsing object may include server, memory or CPU etc. one such or several described in the embodiment of the present application.
The performance data may include that storage performance data, display performance data and calculated performance data etc. are of all categories,
Every kind of performance data includes different type again, such as: it may include the types such as volume, hard disk, port in storage performance data.From
Before line parsing, the corresponding performance file of the performance data of each classification belongs to different files.
The embodiment of the present application increases the analysis state field of storage in information table memory, and each performance file has therewith
Corresponding parsing field.In storage performance file, the corresponding parsing field values of setting performance file are 0, indicate the performance
The performance data that file includes is not resolved.
When parsing page selection performance file, the information table memory in database is inquired, when selected performance file
Parsing field values when being 0, indicate performance data that selected performance file includes be it is resolved, opened described in display at this time
Begin parsing button.
Start it is described start parse button, first inquiry whether there is performance file to be resolved, it should be noted that when
Judge then to prompt in the front page layout without needing under the corresponding catalogue of the parsing object there is no when performance file to be resolved
The performance file to be parsed.
S102: when there are when performance file to be resolved, start multithreading to the performance file to be resolved under the catalogue
In the performance data of each classification carry out performance parsing respectively.
Start parsing thread of all categories, while the performance data for including to performance file of all categories parses, and
And 1 is set by the parsing field values of selected performance file, expression is in parsing at this time.
It is parallel procedure that multithreading parsing, which carries out parsing to performance data of all categories, and number of threads is greater than 1, but can not wait
In the number of performance data classification, such as 8 different classes of performance datas can be parsed using 4 threads, thread is terminating
After the parsing of the performance data of a classification, the performance data for parsing next classification is automatically begun to.The application is to Thread Count
Amount and thread and the proportionate relationship of performance file classification are not especially limited, in addition, the number of threads of the application can be according to reality
Border demand is adjusted and distributes.
S103: obtaining the analysis state of the performance file to be resolved and parses progress and shows in front page layout.
Wherein, the parsing progress for obtaining the performance file to be resolved, comprising:
A: the size summation of the performance file to be resolved is obtained before parsing.
Specifically, can judge whether file is file to be resolved according to the parsing field values of performance file, by institute
The size for stating file to be resolved is summed.Particularly, it can sum one by one in each storage performance file, it can also be with
Summation is disposably completed after starting starts to parse button, the application is not especially limited this.
B: the size of analysis feature file is obtained in resolving in real time.
When parsing storage performance file, 2 are set by the parsing field values that the performance file of parsing is completed, is indicated
The performance data that the performance file includes has been resolved.
Whether be 2 to judge whether file is resolution file according to the parsing field values of performance file, will it is described
The size of resolution file is summed.
C: by the size of the file of analysis feature divided by the performance file to be resolved size summation obtain described in
Parsing progress.
In addition, obtaining the analysis state of the performance file to be resolved, further includes:
When the parsing progress is less than 100%, the analysis state is obtained to show the parsing on foreground in parsing
Progress, can also be according to remaining time needed for the time reckoning parsing of the parsing progress and parsing.
When the parsing progress is 100%, i.e., the analysis state field of all properties file is 2 under the described catalogue
When, obtaining the analysis state is to be parsed, indicate at this time under the corresponding catalogue of parsing object resolution file it is offline
Parsing is completed.
In addition, parsing result is saved in database after being parsed, and the performance file that parsing is completed is deleted
It removes, to realize the cleaning to memory space, while being conducive to shorten the time-consuming of parsing next time.
Foreground detects that analysis state is after being parsed, parsing to be prompted to be completed and can use text and/or chart
Form show parsing result, while can also by it is described start parse button hide, display parse button again, can be to new
Offline performance file to be resolved is parsed.
Optionally, it can not also modify to analysis state field in resolving, only obtain the property to be resolved
The parsing progress of energy file sets the analysis state field of the performance file to be resolved when the parsing progress is 100%
3 are set to, expression has been completed to parse at this time, and when it is 3 that foreground, which periodically inquires analysis state field, i.e. parsing terminates.
Optionally, it when needing to carry out performance data parsing to parsing object, inquires in the information table memory of database
Analysis state, the analysis state include:
It does not parse, resolving neutralization has been parsed.
It should be noted that it is above-mentioned by analysis state field be set as number 1,2,3 be intended merely to it is convenient to workflow
Explanation, be not the restriction to data type, analysis state field can also be set referred to as letter, character string, code and refer to
Enable etc..
The method of offline analysis feature data provided by the invention is solved applied to the performance data to parsing object
Analysis judges to parse under the corresponding catalogue of object with the presence or absence of performance file to be resolved when parsing function is triggered；When the mesh
It is to be resolved there are when performance file to be resolved, showing to have performance data at this time under record, start multithreading to the property to be resolved
The performance data of each classification carries out performance parsing respectively in energy file, because of the corresponding performance text of different classes of performance data
Part belongs to different files, can be simultaneously to multiple and different performance numbers being stored under specified directory using multithreading parsing
According to being parsed, the efficiency of parsing is improved；Obtain the performance file to be resolved analysis state and parsing progress and
Front page layout is shown, makes the more intuitive process for understanding parsing of operator.Using this method, can be realized to performance data from
Line parsing, it is time-consuming shorter compared with online analyzing, and by multithreading parsing, further shortening parsing is time-consuming, raising parsing
Efficiency.
Embodiment two:
The method of the offline analysis feature data provided based on the above embodiment, the embodiment of the present application two additionally provide one kind
The device of offline analysis feature data, illustrates with reference to the accompanying drawing.
Referring to fig. 2, which is the schematic diagram of the device for the offline analysis feature data that the embodiment of the present application two provides.
The embodiment of the present application described device includes: judging unit 201, resolution unit 202 and obtaining unit 203.
Judging unit 201, for when parsing function and being triggered, judge to parse under the corresponding catalogue of object with the presence or absence of to
Analysis feature file；The performance file to be resolved includes performance data.
The parsing function is triggered, and specifically includes:
The button that starts to parse of the front page layout is activated.
Parsing object may include server, memory or CPU etc. one such or several described in the embodiment of the present application.
Start it is described start parse button, judging unit 201 inquire first whether there is performance file to be resolved, need
It is noted that then being mentioned in the front page layout when performance file to be resolved is not present under the corresponding catalogue of the parsing object
Show the performance file for not needing to parse.
Resolution unit 202, for judging under the catalogue starting there are when performance file to be resolved when the judging unit
Multithreading carries out performance parsing to the performance data of each classification in the performance file to be resolved respectively.
Optionally, when needing to carry out performance data parsing to parsing object, the judging unit 201 is also used to inquire data
Analysis state in the information table memory in library, the analysis state include: do not parse, resolving neutralization be parsed.
The application is not especially limited number of threads and thread and the proportionate relationship of performance file classification, in addition, this Shen
Number of threads please can be adjusted and distribute according to actual needs.
Obtaining unit 203, for obtaining the analysis state and parsing progress and on foreground of the performance file to be resolved
The page is shown.
Specifically, the parsing progress that obtaining unit 203 obtains the performance file to be resolved includes:
The size summation of the performance file to be resolved is obtained before parsing；
The size of analysis feature file is obtained in resolving in real time；
The size of the file of analysis feature is obtained into the solution divided by the size summation of the performance file to be resolved
Analysis progress；
The analysis state that obtaining unit 203 obtains the performance file to be resolved includes:
When the parsing progress is less than 100%, the analysis state is obtained to show the parsing on foreground in parsing
Progress, can also be according to remaining time needed for the time reckoning parsing of the parsing progress and parsing.
When the parsing progress is 100%, i.e., the analysis state field of all properties file is 2 under the described catalogue
When, obtaining the analysis state is to be parsed, indicate at this time under the corresponding catalogue of parsing object resolution file it is offline
Parsing is completed.
In addition, parsing result can also be saved in database by described device after being parsed, and solution will be completed
The performance file of analysis is deleted, and to realize the cleaning to memory space, while being conducive to shorten the time-consuming of parsing next time.
The foreground of corresponding device detects that analysis state is after being parsed, parsing to be prompted to be completed and can use text
And/or the form of chart shows parsing result, while can also hide the parsing button that starts, display parses button again,
New offline performance file to be resolved can be parsed.
The application is not especially limited the connection type of said units.
The device of offline analysis feature data provided by the embodiments of the present application can be applied to the performance number to parsing object
According to being parsed, when parsing function and being triggered, judging unit may determine that under the corresponding catalogue of parsing object with the presence or absence of to
Analysis feature file does not need real-time collecting performance data, does not need the reality for carrying out performance data yet due to being to parse offline
When transmit, it is only necessary to judge whether there is the performance data collected；When under the catalogue there are when performance file to be resolved, table
Bright have that performance data is to be resolved at this time, and resolution unit starts multithreading to the property of each classification in the performance file to be resolved
Energy data carry out performance parsing respectively, because the corresponding performance file of different classes of performance data belongs to different files
Folder can simultaneously parse multiple and different performance datas being stored under specified directory using multithreading parsing, improve
The efficiency of parsing；Obtaining unit obtains the analysis state of the performance file to be resolved and parses progress and show in front page layout
Show, makes the more intuitive process for understanding parsing of operator.
Using the present apparatus, the offline parsing to performance data can be realized, it is time-consuming shorter compared with online analyzing, and
It is parsed by multithreading and further shortens parsing time-consuming, improve analyzing efficiency.1
The device of the offline analysis feature data includes processor and memory, above-mentioned judging unit, resolution unit and
Obtaining unit etc. stores in memory as program unit, executes above procedure list stored in memory by processor
Member realizes corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be set one
Or more, realize that the multithreading to performance data parses offline by adjusting kernel parameter.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include that at least one is deposited
Store up chip.
The embodiment of the invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
The method of the existing offline analysis feature data.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
It should be appreciated that in this application, " at least one (item) " refers to one or more, and " multiple " refer to two or two
More than a."and/or" indicates may exist three kinds of relationships, for example, " A and/or B " for describing the incidence relation of affiliated partner
It can indicate: only exist A, only exist B and exist simultaneously tri- kinds of situations of A and B, wherein A, B can be odd number or plural number.Word
Symbol "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or"." at least one of following (a) " or its similar expression, refers to
Any combination in these, any combination including individual event (a) or complex item (a).At least one of for example, in a, b or c
(a) can indicate: a, b, c, " a and b ", " a and c ", " b and c ", or " a and b and c ", and wherein a, b, c can be individually, can also
To be multiple.
The above described is only a preferred embodiment of the present invention, being not intended to limit the present invention in any form.Though
So the present invention has been disclosed as a preferred embodiment, and however, it is not intended to limit the invention.It is any to be familiar with those skilled in the art
Member, without departing from the scope of the technical proposal of the invention, all using the methods and technical content of the disclosure above to the present invention
Technical solution makes many possible changes and modifications or equivalent example modified to equivalent change.Therefore, it is all without departing from
The content of technical solution of the present invention, according to the technical essence of the invention any simple modification made to the above embodiment, equivalent
Variation and modification, all of which are still within the scope of protection of the technical scheme of the invention.
Claims (10)
1. a kind of method of offline analysis feature data is parsed applied to the performance data to parsing object, feature exists
In, comprising:
When parsing function is triggered, judge to parse under the corresponding catalogue of object with the presence or absence of performance file to be resolved；It is described to
Analysis feature file includes performance data；
When there are when performance file to be resolved, start multithreading to each classification in the performance file to be resolved under the catalogue
Performance data carry out performance parsing respectively；
It obtains the analysis state of the performance file to be resolved and parses progress and shown in front page layout.
2. the method for offline analysis feature data according to claim 1, which is characterized in that the parsing function is touched
Hair, specifically includes:
The button that starts to parse of the front page layout is activated.
3. the method for offline analysis feature data according to claim 1, which is characterized in that further include: described in judgement
It parses under the corresponding catalogue of object there is no when performance file to be resolved, then prompts no needs to parse in the front page layout
Performance file.
4. the method for offline analysis feature data according to claim 2, which is characterized in that the acquisition is described to be resolved
The parsing progress of performance file, specifically includes:
The size summation of the performance file to be resolved is obtained before parsing；
The size of analysis feature file is obtained in resolving in real time；
By the size of the file of analysis feature divided by the performance file to be resolved size summation obtain it is described parse into
Degree；
The analysis state for obtaining the performance file to be resolved, specifically includes:
When the parsing progress is less than 100%, the analysis state is obtained as in parsing；When the parsing progress is 100%
When, obtaining the analysis state is to be parsed.
5. the method for offline analysis feature data according to claim 4, which is characterized in that further include: when the parsing
State is when being parsed, the performance data of the performance file to be resolved to be saved in database, the catalogue is deleted
Under performance file to be resolved.
6. the method for offline analysis feature data according to claim 5, which is characterized in that further include: when the parsing
State is when being parsed, and the front page layout hides the parsing button that starts, and display parses button again.
7. according to the method for the described in any item offline analysis feature data of claim 2-6, which is characterized in that further include: it needs
When carrying out performance data parsing to parsing object, the analysis state in the information table memory of database is inquired；The parsing shape
State include: do not parse, resolving neutralization be parsed；
When the analysis state is not parse, is shown in the front page layout and start to parse button.
8. the method for the offline analysis feature data according to claim 1, which is characterized in that the parsing object
It include: server, memory or CPU.
9. a kind of device of offline analysis feature data characterized by comprising
Judging unit, for judging to parse under the corresponding catalogue of object with the presence or absence of property to be resolved when parsing function is triggered
It can file；The performance file to be resolved includes performance data；
Resolution unit, for judging under the catalogue to start multithreading there are when performance file to be resolved when the judging unit
Performance parsing is carried out respectively to the performance data of each classification in the performance file to be resolved；
Obtaining unit, for obtain the performance file to be resolved analysis state and parsing progress and in front page layout it is aobvious
Show.
10. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein described program right of execution
The method that benefit requires offline analysis feature data described in any one of 1-6.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811231385.7A CN109460346A (en) | 2018-10-22 | 2018-10-22 | A kind of method, apparatus and storage medium of offline analysis feature data |
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| CN201811231385.7A CN109460346A (en) | 2018-10-22 | 2018-10-22 | A kind of method, apparatus and storage medium of offline analysis feature data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110515797A (en) * | 2019-07-31 | 2019-11-29 | 广东浪潮大数据研究有限公司 | A kind of data processing method, device, equipment and computer readable storage medium |
-
2018
- 2018-10-22 CN CN201811231385.7A patent/CN109460346A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110515797A (en) * | 2019-07-31 | 2019-11-29 | 广东浪潮大数据研究有限公司 | A kind of data processing method, device, equipment and computer readable storage medium |
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