CN108549711A - A kind of method, apparatus, equipment and the storage medium of storage big data - Google Patents
A kind of method, apparatus, equipment and the storage medium of storage big data Download PDFInfo
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- CN108549711A CN108549711A CN201810358724.1A CN201810358724A CN108549711A CN 108549711 A CN108549711 A CN 108549711A CN 201810358724 A CN201810358724 A CN 201810358724A CN 108549711 A CN108549711 A CN 108549711A
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Abstract
This application discloses a kind of methods of storage big data, including according to data harvesting request gathered data, collected data are stored according to preset storage rule to file data and are concentrated, then it is respectively that identification information is arranged in data, by identification information storage in database, the linking relationship of the identification information in data and database is resettled.Pass through the linking relationship of the identification information in data and database, when needing to inquire and extract data, the corresponding data for being stored in file data concentration can be found by identification information, so that only needing the identification information of storage data in database, the pressure for reducing database improves the stability of system.Disclosed herein as well is a kind of device, equipment and the computer readable storage mediums of storage big data, all have above-mentioned advantageous effect.
Description
Technical field
The present invention relates to data processing field, more particularly to a kind of method, apparatus, equipment and the computer of storage big data
Readable storage medium storing program for executing.
Background technology
In recent years, with the fast development of industrial technology, the data generated during industrial production, test and use
Also more and more, in order to make full use of the valuable information in data, data are effectively analyzed by big data technology, are made
Industrial production can be optimized based on big data analysis result by obtaining, and improved industrial production efficiency and quality, improved the industrial valence of data
Value.
But before analyzing data, need first to store collected data, the prior art is will to adopt
The data collected are uniformly stored in database, and since data volume is huge, storing process needs elapsed time to wait for, and a large amount of
Data bring the pressure of storage also bigger to database, it is follow-up need to inquire and extract data when will be due to data inventory
Storage inner capacities is big and causes query process slow.
Therefore, how to provide it is a kind of it is efficient storage big data method be that those skilled in the art need to solve at present
Technical problem.
Invention content
In view of this, the purpose of the present invention is to provide a kind of method of storage big data, data can be efficiently stored,
Reduce the pressure of database；It is a further object of the present invention to provide a kind of storage device of big data, equipment and computer-readable
Storage medium all has above-mentioned advantageous effect.
In order to solve the above technical problems, the present invention provides a kind of method of storage big data, including：
According to data harvesting request gathered data；
The data are stored according to preset storage rule to file data concentration and the respectively described data setting is marked
Know information；
By the identification information storage in database；
Establish the linking relationship of the identification information in the data and the database.
Preferably, the data are stored according to preset storage rule to file data described and is concentrated and respectively institute
After stating data setting identification information, further comprise：
Extract the key word information of the data；
It is corresponding, it is described by the identification information storage in database；It establishes in the data and the database
The linking relationship of the identification information is specially：
The key word information of the identification information and corresponding data is stored in database；
Establish the linking relationship of the identification information and the key word information in the data and the database.
Preferably, after the gathered data according to data harvesting request, further comprise：
The data are verified according to actual requirement, and delete the data outlier for not meeting the actual requirement.
Preferably, after the gathered data according to data harvesting request, further comprise：
Format conversion is carried out to the data according to preset format.
Preferably, the data are stored according to preset storage rule to file data described and is concentrated and respectively institute
Before stating data setting identification information, further comprise：
Data combination and/or data cleansing and/or data check are carried out to the data.
Preferably, the data harvesting request is specially according to real data acquisition target, actual data analysis demand, reality
Border data storage needs and real data generates scale analysis and obtains.
Preferably, the data harvesting request is specially and is obtained according to the pre-set time cycle.
In order to solve the above technical problems, the present invention also provides a kind of devices of storage big data, including：
Data acquisition module, for according to data harvesting request gathered data；
First memory module is concentrated and is distinguished for being stored the data to file data according to preset storage rule
For the data, identification information is set；
Second memory module is used for the identification information storage in database；
Module is established the link, the linking relationship for establishing the identification information in the data and the database.
In order to solve the above technical problems, the present invention also provides a kind of equipment of storage big data, including：
Memory, for storing computer program；
Processor, realized when for executing the computer program any of the above-described kind storage big data method the step of.
In order to solve the above technical problems, the present invention also provides a kind of computer readable storage medium, it is described computer-readable
Computer program is stored on storage medium, the computer program realizes any of the above-described kind of storage big number when being executed by processor
According to method the step of.
The method of storage big data provided by the invention, including according to data harvesting request gathered data, it will be collected
Data are stored to file data according to preset storage rule and are concentrated, and then respectively identification information is arranged in data, and mark is believed
Breath is stored in database, resettles the linking relationship of the identification information in data and database.By in data and database
Identification information linking relationship, need inquire and extract data when, can be found by identification information and be stored in file
Corresponding data in data set so that it only needs to store the identification information of data in database, reduces the pressure of database,
Improve the stability of system.
It can in order to solve the above technical problems, the present invention also provides a kind of device, equipment and the computers of storage big data
Storage medium is read, above-mentioned advantageous effect is all had.
Description of the drawings
It in order to illustrate the embodiments of the present invention more clearly or the technical solution of the prior art, below will be to embodiment or existing
Attached drawing is briefly described needed in technology description, it should be apparent that, the accompanying drawings in the following description is only this hair
Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to the attached drawing of offer.
Fig. 1 is a kind of flow chart of the method for storage big data provided in an embodiment of the present invention；
Fig. 2 is the flow chart of another method for storing big data provided in an embodiment of the present invention；
Fig. 3 is the flow chart of another method for storing big data provided in an embodiment of the present invention；
Fig. 4 is a kind of structure chart of the device of storage big data provided in an embodiment of the present invention；
Fig. 5 is a kind of structure chart of the equipment of storage big data provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The core of the embodiment of the present invention is to provide a kind of method of storage big data, can efficiently store data, reduce
The pressure of database；Another core of the present invention is to provide a kind of device, equipment and the computer-readable storage of storage big data
Medium all has above-mentioned advantageous effect.
It is right with reference to the accompanying drawings and detailed description in order to make those skilled in the art more fully understand the present invention program
The present invention is described in further detail.
Referring to FIG. 1, Fig. 1 is a kind of flow chart of the method for storage big data provided in an embodiment of the present invention, it is specific to wrap
It includes：
S10：According to data harvesting request gathered data.
In specific implementation, data harvesting request is generated according to actual demand first, for example, according to top layer application software or
The actual motion demand analysis of system etc. obtains data harvesting request, then according to data harvesting request gathered data.Specifically,
It is required from data source gathered data according to the acquisition in data harvesting request, the device or original of data required for data source is to provide
Beginning media, the present embodiment do not limit the concrete type of data source.
More specifically, after generating data harvesting request, data harvesting request is kept in first and according to pre-defined
Rule carries out envelope frame to data harvesting request, i.e., data harvesting request is carried out compression packing processing, then data is recycled to adopt
Collect module and frame parsing is carried out to data harvesting request according to pre-defined rule, after errorless to data harvesting request verification,
It is acquired data according to data harvesting request.
S20：Data are stored according to preset storage rule to file data concentration and respectively data setting mark is believed
Breath.
Specifically, after collecting the data, collected data are stored to file data according to preset storage rule
It concentrates, and identification information is arranged in respectively collected data.The present embodiment does not limit the time that identification information is arranged,
That is, can also identification information first be arranged for collected data after collecting the data, advised according still further to preset storage
Then the data provided with identification information are stored into database.It is understood that identification information is referred to by each
Data determine the information such as a unique string number or coding, number so that each data can mutually be distinguished with other data,
To prevent obscuring and misapplying for data, the present embodiment does not limit the type of identification information.
It is concentrated it should be noted that being stored data to file data according to preset storage rule, can be specially root
It is stored according to the type of data, can also be to be stored according to the level of data, it can also be simultaneously according to the type of data
It is stored with level, the present embodiment does not limit this.
S30：By identification information storage in database.
Specifically, after the data setting identification information to be stored in file data concentration, the identification information of data is deposited
Be stored in database, that is to say, that the identification information of setting is recorded one by one, the present embodiment to specific storage mode not
It limits.
S40：Establish the linking relationship of the identification information in data and database.
It should be noted that after by identification information storage in database, establishes and be stored in data file concentration
The linking relationship of data and the identification information being stored in database so that, being capable of basis when needing to inquire or extract data
The identification information of data finds the corresponding data for being stored in file data concentration by linking relationship in database.Specifically
, linking relationship can be the allocation index by address data memory, and the present embodiment is by the way that identical identification information is arranged
It interlinks, on-link mode (OLM) is simpler, and is not influenced by the storage location of data.
The method of storage big data provided in an embodiment of the present invention, including according to data harvesting request gathered data, will adopt
The data collected are stored to file data according to preset storage rule and are concentrated, and then respectively identification information is arranged in data, will
Identification information storage resettles the linking relationship of the identification information in data and database in database.Pass through data sum number
Storage can be found by identification information when needing to inquire and extract data according to the linking relationship of the identification information in library
In the corresponding data that file data is concentrated so that only need to store the identification information of data in database, reduce database
Pressure, improve the stability of system.
Fig. 2 is the flow chart of another method for storing big data provided in an embodiment of the present invention.In above-described embodiment
On the basis of, the present embodiment has made further instruction and optimization to technical solution, specifically, by data according to preset storage
Rule, which is stored to file data, to be concentrated and respectively after data setting identification information, further comprises：
S50：Extract the key word information of data.
It is understood that it can be the storage time of data, storage that each data, which have keyword, key word information,
The information such as position, sensing station, the present embodiment do not limit this, and are not done to the quantity of the key word information of each data
It limits.
It is corresponding, by identification information storage in database；The link for establishing the identification information in data and database is closed
System is specially：
S51：The key word information of identification information and corresponding data is stored in database.
Specifically, after the key word information of extraction data, the key word information of identification information and corresponding data is deposited
It is stored in database.It is understood that due to being provided with identification information for each data, and key word information is from data
It extracts, therefore, key word information corresponds respectively with data, identification information.
S52：Establish the linking relationship of the identification information and key word information in data and database.
After by the storage in the database of the key word information of identification information and corresponding data, and key word information and mark
Know information to correspond, establishes the linking relationship of the identification information and key word information in data and database.It needs to illustrate
It is that in the present embodiment, key word information is also stored in the database, therefore, it is necessary to further believe identification information, keyword
Breath establishes the link relationship with the data for being stored in file data concentration respectively, and specific on-link mode (OLM) is referred to above-mentioned implementation
Example, details are not described herein again.
As it can be seen that the key word information by further extracting data, then by the keyword of identification information and corresponding data
Information storage is in database and establishes the identification information in data and database and the linking relationship of key word information, Ke Yi
When needing to inquire or extract data, first inquired in the database by inputting key word information, then further according to data and
The linking relationship of identification information and key word information in database searches the data for being stored in file data concentration, thus into
One step improves the convenience of inquiry data.
Fig. 3 is the flow chart of another method for storing big data provided in an embodiment of the present invention.In above-described embodiment
On the basis of, the present embodiment has made further instruction and optimization to technical solution, specifically, being acquired according to data harvesting request
After data, further comprise：
S60：Data are verified according to actual requirement, and delete the data outlier for not meeting actual requirement.
It is understood that after according to data harvesting request gathered data, there may be not in collected data
Meet the data outlier of actual requirement.Therefore, by being verified to data according to actual requirement, judge data whether pre-
If actual requirement within the scope of, if so, retention data and carrying out subsequent operation, otherwise, that is, indicate that data do not meet reality
It is required that therefore deleting the data outlier for not meeting actual requirement.By being verified to data according to actual requirement, and delete
The data outlier of actual requirement is not met, that is to say, that delete data outlier in advance, memory space can be reduced and subtracted
The operating procedure for handling data less, improves the efficiency of storage.
After according to data harvesting request gathered data, further comprise：
S70：Format conversion is carried out to data according to preset format.
It is understood that according to data harvesting request gathered data, collected data format, type are a variety of more
Sample, by according to preset format to data carry out format conversion so that the format of collected data be it is unified, so just
In storage and management.
It should be noted that the present embodiment does not also limit the execution order of step S60 and S70, that is to say, that also may be used
Format conversion is carried out to data according to preset format with elder generation, then data are verified according to actual requirement, and is deleted not
Meet the operation of the data outlier of actual requirement.
On the basis of the above embodiments, the present embodiment has made further instruction and optimization to technical solution, specifically,
Data are being stored according to preset storage rule to file data concentration and respectively before data setting identification information, into one
Step includes：
Data combination and/or data cleansing and/or data check are carried out to data.
It is understood that during gathered data, it is understood that there may be same part data are divided into two parts or more
Part, therefore, it is necessary to which these are combined into a data by separated data according to rule, to keep the integrality of data.
It is understood that situations such as there may be invalid value or missing values, repetition values in the data of acquisition, therefore can be with
The data of the data of mistake, incomplete data and repetition are deleted by data cleansing operation, to improve data
Validity.
It is understood that in order to ensure the integrality of data, collected data can be verified, specifically,
Can be that the data before acquisition are calculated using preset algorithm and obtain the first check value, after collecting the data,
The second check value is calculated and obtained with identical algorithm again, judges whether the first check value is identical as the second check value,
If identical, illustrate that data are complete.
It should be noted that in the present embodiment, to improve the validity of data, data combination, data are carried out to data
The operation of cleaning and data check can also be one or two therein of operation, and the present embodiment does not limit this.
On the basis of the above embodiments, the present embodiment has made further instruction and optimization to technical solution, specifically,
Data harvesting request is specially according to real data acquisition target, actual data analysis demand, actual data storage needs and reality
Border data generate scale analysis and obtain.
It is understood that the operation of data is acquired according to data harvesting request, as preferred embodiment, number
It is specially according to real data acquisition target, actual data analysis demand, actual data storage needs and reality according to acquisition request
Data generate scale analysis and obtain.It should be noted that real data acquisition target specifically includes the data of actual needs acquisition
The information such as quantity, type, format, actual data analysis demand specifically includes the behaviour that actual needs carries out the data of acquisition
Make, actual data storage needs to specifically include real data and the information such as the space size, the position that store, real data is needed to generate
Scale is the information such as the quantity and size of real data.
As it can be seen that by according to real data acquisition target, actual data analysis demand, actual data storage needs and reality
Data generate scale analysis and obtain data harvesting request, namely targetedly obtain data harvesting request, can save resource and
Many unnecessary data transmissions can be saved, the efficiency of gathered data is improved.
On the basis of the above embodiments, the present embodiment has made further instruction and optimization to technical solution, specifically,
Data harvesting request is specially to be obtained according to the pre-set time cycle.
Specifically, pre-setting the time cycle, and data harvesting request is obtained according to the analysis of pre-set time cycle.
That is so that data harvesting request can be acquired data according to the pre-set time cycle, rather than disposable
Acquire whole data, can avoid needing simultaneously in this way storing a large amount of data and the pressure that causes database.
It is described in detail above for a kind of embodiment of method of storage big data provided by the invention, this hair
It is bright to additionally provide a kind of device, equipment and the computer readable storage medium of storage big data corresponding with this method, due to dress
Set, equipment and the embodiment of computer readable storage medium part and the embodiment of method part mutually correlate, therefore device, set
Standby and computer readable storage medium part embodiment refers to the description of the embodiment of method part, wouldn't repeat here.
Fig. 4 is a kind of structure chart of the device of storage big data provided in an embodiment of the present invention, including：
Data acquisition module 41, for according to data harvesting request gathered data；
First memory module 42 is concentrated for being stored data to file data according to preset storage rule and is respectively
Identification information is arranged in data；
Second memory module 43 is used for identification information storage in database；
Module 44 is established the link, the linking relationship for establishing the identification information in data and database.
The device of storage big data provided by the invention, the advantageous effect of the method with above-mentioned storage big data.
Fig. 5 is a kind of structure chart of the equipment of storage big data provided in an embodiment of the present invention, including：
Memory 51, for storing computer program；
Processor 52, when for executing computer program the step of the realization such as method of above-mentioned storage big data.
The equipment of storage big data provided in an embodiment of the present invention, the beneficial effect of the method with above-mentioned storage big data
Fruit.
In order to solve the above technical problems, the present invention also provides a kind of computer readable storage medium, computer-readable storage
It is stored with computer program on medium, the step of the method such as above-mentioned storage big data is realized when computer program is executed by processor
Suddenly.
Computer readable storage medium provided in an embodiment of the present invention, the beneficial effect of the method with above-mentioned storage big data
Fruit.
Above to it is provided by the present invention storage big data method, apparatus, equipment and computer readable storage medium into
It has gone and has been discussed in detail.Principle and implementation of the present invention are described for specific embodiment used herein, the above reality
The explanation for applying example is merely used to help understand the method and its core concept of the present invention.It should be pointed out that for the art
For those of ordinary skill, without departing from the principle of the present invention, can with several improvements and modifications are made to the present invention,
These improvement and modification are also fallen within the protection scope of the claims of the present invention.
Each embodiment is described by the way of progressive in specification, the highlights of each of the examples are with other realities
Apply the difference of example, just to refer each other for identical similar portion between each embodiment.For device disclosed in embodiment
Speech, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is referring to method part illustration
.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, depends on the specific application and design constraint of technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Claims (10)
1. a kind of method of storage big data, which is characterized in that including：
According to data harvesting request gathered data；
The data are stored according to preset storage rule to file data concentration and the respectively described data setting mark is believed
Breath；
By the identification information storage in database；
Establish the linking relationship of the identification information in the data and the database.
2. according to the method described in claim 1, it is characterized in that, the data are deposited according to preset storage rule described
Storage is concentrated to file data and after the respectively described data setting identification information, is further comprised：
Extract the key word information of the data；
It is corresponding, it is described by the identification information storage in database；It establishes described in the data and the database
The linking relationship of identification information is specially：
The key word information of the identification information and corresponding data is stored in database；
Establish the linking relationship of the identification information and the key word information in the data and the database.
3. according to the method described in claim 1, it is characterized in that, after the gathered data according to data harvesting request,
Further comprise：
The data are verified according to actual requirement, and delete the data outlier for not meeting the actual requirement.
4. according to the method described in claim 1, it is characterized in that, after the gathered data according to data harvesting request,
Further comprise：
Format conversion is carried out to the data according to preset format.
5. according to the method described in claim 1, it is characterized in that, the data are deposited according to preset storage rule described
Storage is concentrated to file data and before the respectively described data setting identification information, is further comprised：
Data combination and/or data cleansing and/or data check are carried out to the data.
6. method according to any one of claims 1 to 5, which is characterized in that the data harvesting request is specially basis
Real data acquisition target, actual data analysis demand, actual data storage need and real data generates scale analysis and obtains.
7. according to the method described in claim 6, it is characterized in that, the data harvesting request is specially according to pre-set
Time cycle obtains.
8. a kind of device of storage big data, which is characterized in that including：
Data acquisition module, for according to data harvesting request gathered data；
First memory module is concentrated and respectively institute for being stored the data to file data according to preset storage rule
State data setting identification information；
Second memory module is used for the identification information storage in database；
Module is established the link, the linking relationship for establishing the identification information in the data and the database.
9. a kind of equipment of storage big data, which is characterized in that including：
Memory, for storing computer program；
Processor realizes storage big data as described in any one of claim 1 to 7 when for executing the computer program
The step of method.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, the computer program realize the side of storage big data as described in any one of claim 1 to 7 when being executed by processor
The step of method.
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