CN107330114A - A kind of big data processing method - Google Patents
A kind of big data processing method Download PDFInfo
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- CN107330114A CN107330114A CN201710562895.1A CN201710562895A CN107330114A CN 107330114 A CN107330114 A CN 107330114A CN 201710562895 A CN201710562895 A CN 201710562895A CN 107330114 A CN107330114 A CN 107330114A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
- G06F16/9574—Browsing optimisation, e.g. caching or content distillation of access to content, e.g. by caching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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Abstract
The embodiments of the invention provide a kind of big data processing method, methods described includes：User's request is obtained, wherein, preset content is included in the target requirement；According to the user's request, data flow corresponding with the preset content in pending data stream is extracted, target pending data stream is obtained；According to the corresponding presupposed information of pieces of data included in the target pending data, the target pending data is divided into multiple sub-data flows；For each sub-data flow, by sub-data flow storage into corresponding storage server.Using the embodiment of the present invention, the time-consuming of user search data is reduced.
Description
Technical field
The present invention relates to big data processing technology field, more particularly to.
Background technology
With the development of network technology, data volume present on network is increasing, is one to these data progress processing
Individual technical problem urgently to be resolved hurrily.
At present, Internet firm would generally be stored into storage server according to the generation time of pieces of data, such as,
00:00:01 generates the first data, and the data is stamped into timestamp 00:00:After 01, store into storage server；
00:00:02 generates the second data, and the data is stamped into timestamp 00:00:After 02, deposit in storage server of engaging in this profession.
When needing to use these data, according to user's request, corresponding data are retrieved from each storage server, this is then reused
A little data.
But, prior art stores pieces of data according to the time sequencing of generation, can will containing different preset contents and/or
In the same storage servers of data Cun Chudao of different presupposed informations, there may be, by identical preset content and/or identical
In storage servers different the data Cun Chudao of presupposed information, so when user searches for these data, it is necessary to retrieve institute
Some servers, cause the time-consuming longer of user search data.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of big data processing method, to realize reduction user search data
It is time-consuming.Concrete technical scheme is as follows：
To solve prior art problem, the embodiments of the invention provide a kind of big data processing method, methods described includes：
User's request is obtained, wherein, preset content, and the preset content are included in the target requirement, including：ID,
The click record of user's hardware ID and user；
According to the user's request, data flow corresponding with the preset content in pending data stream is extracted, obtained
Target pending data stream；
According to the corresponding presupposed information of pieces of data included in the target pending data, by the target pending data
Multiple sub-data flows are divided into, wherein, the presupposed information includes：The pieces of data pair included in the target pending data
The corresponding temporal information of pieces of data included in the data type information and/or the target pending data answered；
For each sub-data flow, by sub-data flow storage into corresponding storage server.
Optionally, according to the user's request, by data flow corresponding with the preset content in pending data stream
Extract, obtain before target pending data stream, methods described also includes：
It is to have data to carry out legitimate verification to saying in pending data stream, to remove illegal data.
Optionally, it is described according to the user's request, by data corresponding with the preset content in pending data stream
Stream is extracted, and obtains target pending data stream, including：
For each data in pending data stream, the data comprising the preset content are regard as the pending number of target
According to；
It regard the set of at least one target pending data of acquisition as target pending data stream.
Optionally, it is described to be directed to each sub-data flow, by sub-data flow storage into corresponding storage server, bag
Include：
The presupposed information of the data stored in storage server is read, includes the sub-data flow storage of the presupposed information
Into the storage server.
Optionally, methods described also includes：
For each sub-data flow, the size for the data volume that the sub-data flow is included is obtained；
Storage server corresponding with presupposed information and preset content that the sub-data flow is included is obtained, wherein, the storage
The data stored in server have and the presupposed information and preset content identical information；
Obtain the size of each storage server residual capacity；
Judge whether that residual capacity is more than the storage server of the data volume included of the sub-data flow；
If so, bag of at least two residual capacities less than the sub-data flow after the sub-data flow cutting, will be respectively stored into
In the storage server of the data volume contained, and at least two residual capacity is less than the data volume included of the sub-data flow
Storage server residual capacity sum, not less than the data volume included of the sub-data flow, and described for storing
Set up in the storage server of sub-data flow and point to other files for being used to store the storage server of the sub-data flow；
The sub-data flow is stored to the step in corresponding storage server if it is not, execution is described, wherein, it is described by the subnumber
According to stream storage into corresponding storage server, including：Sub-data flow storage is more than the son to the residual capacity
In the storage server of the data volume included of data flow.
Optionally, the file for pointing to other storage servers for being used to store the sub-data flow is that sensing is described
Other are used for the file for storing the position that the sub-data flow is stored in the storage server of the sub-data flow.
The embodiments of the invention provide a kind of big data processing method, methods described includes：User's request is obtained, wherein,
Preset content is included in the target requirement；According to the user's request, by pending data stream with the preset content pair
The data flow answered is extracted, and obtains target pending data stream；According to each bar number included in the target pending data
According to corresponding presupposed information, the target pending data is divided into multiple sub-data flows；For each sub-data flow, by this
Sub-data flow is stored into corresponding storage server.
Using a kind of big data processing method provided in an embodiment of the present invention, according to the preset content included in pieces of data
And presupposed information, by the different corresponding storage servers of data Cun Chudao, when user needs to retrieve these data, only need
Corresponding storage server is retrieved, without retrieving all storage servers, needs to retrieve institute relative to prior art
Some storage servers, the quantity of the storage server of retrieval is less, therefore, and user's inspection can be reduced using the embodiment of the present invention
Rope data it is time-consuming.Certainly, implementing any product or method of the present invention must be not necessarily required to while reaching above-described institute
There is advantage.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the first big data processing method provided in an embodiment of the present invention.
Fig. 2 is second of big data processing method provided in an embodiment of the present invention.
Fig. 3 is the third big data processing method provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
To reach above-mentioned purpose, this law inventive embodiments provide a kind of big data processing method, this method are entered below
Row is discussed in detail.
Fig. 1 is a kind of big data processing method provided in an embodiment of the present invention, as shown in figure 1, this method includes：
S101：User's request is obtained, wherein, preset content, and the preset content are included in the target requirement, including：With
Family ID, user's hardware ID and user click record.
In actual applications, handled if user's request is the data for being 0001 to ID.
It should be noted that preset content includes but are not limited to the click note of ID, user's hardware ID and user
Record, the present invention does not make restriction to it again.
S102：According to the user's request, data flow corresponding with the preset content in pending data stream is extracted
Out, target pending data stream is obtained.
Optionally, in a kind of embodiment of the embodiment of the present invention, it can be directed to every in pending data stream
One data, regard the data comprising the preset content as target pending data；At least one target of acquisition is waited to locate
The set of reason data is used as target pending data stream.
In actual applications, to together, the pending number of target will be used as comprising all purpose data classifyings that ID is 0001
According to stream.
S103：According to the corresponding presupposed information of pieces of data included in the target pending data, by the target
Pending data is divided into multiple sub-data flows, wherein, the presupposed information includes：Included in the target pending data
The corresponding time letter of pieces of data included in the corresponding data type information of pieces of data and/or the target pending data
Breath.
In actual applications, because target pending data stream is huger, handle it time-consuming longer, and target is waited to locate
The presupposed information that each data in reason data flow may be included is relatively more, therefore default according to what is included in each data
Information is divided to target pending data, obtains multiple sub-data flows.
For example, having obtained including the sub-data flow A of data type information；Sub-data flow B comprising temporal information, wherein institute
It can be 1 day 00 April in 2017 to state temporal information:00:Before 00 moment.
It is emphasized that presupposed information includes but are not limited to the pieces of data correspondence included in target pending data
Data type information, the corresponding temporal information of pieces of data that includes in target pending data, the embodiment of the present invention is not
The content that presupposed information is included is defined.
S104：For each sub-data flow, by sub-data flow storage into corresponding storage server.
Optionally, in a kind of embodiment of the embodiment of the present invention, it can read what is stored in storage server
The presupposed information of data, the sub-data flow for including the presupposed information is stored into the storage server.
In actual applications, the temporal information of the data stored in each storage server is read, if the storage read
The temporal information of data in server M is 1 day 00 April in 2017:00:Before 00 moment, then by sub-data flow B storages to depositing
Store up in server M.
In actual applications, the temporal information of the data stored in each storage server is read, if the storage read
The temporal information of data in server M is 1 day 00 April in 2017:00:Before 00 moment；And the storage server is also used for
When storing the data that ID is 0001, by sub-data flow B storages into storage server M.
A kind of big data processing method provided using embodiment illustrated in fig. 1 of the present invention, according to what is included in pieces of data
Preset content and presupposed information, by the different corresponding storage servers of data Cun Chudao, these numbers of retrieval are needed in user
According to when, it is only necessary to retrieve corresponding storage server, without retrieving all storage servers, needed relative to prior art
All storage servers are retrieved, the quantity of the storage server of retrieval is less, therefore, can be dropped using the embodiment of the present invention
Low user search data it is time-consuming.
Fig. 2 is another big data processing method provided in an embodiment of the present invention, and embodiment illustrated in fig. 2 of the present invention is in this hair
On the basis of bright embodiment illustrated in fig. 1, before S102, add：
S105：It is to have data to carry out legitimate verification to saying in pending data stream, to remove illegal data.
In actual applications, if the ID is illegal ID, the data comprising the ID are all removed.
In actual applications, legitimate verification can also be carried out to data according to user's hardware ID.
Illegal data can be removed using embodiment illustrated in fig. 2 of the present invention, the security of data is improved.
Fig. 3 is the third big data processing method provided in an embodiment of the present invention, and embodiment illustrated in fig. 3 of the present invention is in this hair
On the basis of bright embodiment illustrated in fig. 1, add：
S105：For each sub-data flow, the size for the data volume that the sub-data flow is included is obtained.
Exemplary, if the size of the sub-data flow B obtained data volume is 30M.
S106：Storage server corresponding with presupposed information and preset content that the sub-data flow is included is obtained, wherein,
The data stored in the storage server have and the presupposed information and preset content identical information.
Exemplary, storage server X of the packet containing presupposed information and ID 0001 of storage is obtained, wherein, deposit
The temporal information for storing up the data of server X storages is 1 day 00 April in 2017:00:Before 00 moment.
Storage server Y of the packet containing presupposed information and ID 0001 of storage is obtained, wherein, storage server Y
The temporal information of the data of storage is 1 day 00 April in 2017:00:Before 00 moment.
Storage server Z of the packet containing presupposed information and ID 0001 of storage is obtained, wherein, storage server Z
The temporal information of the data of storage is 1 day 00 April in 2017:00:Before 00 moment.
S107：Obtain the size of each storage server residual capacity.
It is exemplary, obtain storage server X, storage server Y, storage server Z residual capacity be respectively 15M,
1000M、20M。
S108：Judge whether that residual capacity is more than the storage server of the data volume included of the sub-data flow,
In judged result to perform S109 steps in the case of no；In judged result to perform S104 steps in the case of no.
Exemplary, it is clear that storage server X residual capacity is less than sub-data flow B data volume, therefore storage service
Device X cannot be used for storage sub-data flow B；Perform S109 steps.
S109：After the sub-data flow cutting, at least two residual capacities are respectively stored into less than the sub-data flow
The data volume included storage server on, and at least two residual capacity be less than the sub-data flow the number included
According to the residual capacity sum of the storage server of amount, not less than the data volume included of the sub-data flow, and for storing
Set up in the storage server of the sub-data flow and point to other files for being used to store the storage server of the sub-data flow.
Optionally, it is described to point to other for storing the son in a kind of embodiment of the embodiment of the present invention
The file of the storage server of data flow is, points to described other and is used to storing and is stored in the storage server of the sub-data flow
The file of the position of the sub-data flow.
Exemplary, if it is judged that be no, it is respectively 15M and 15M two parts that sub-data flow B is cut into size,
By in a portion storage to storage server X, another part is stored onto storage server Y.And in storage service
Device X sets up a file, and this document is used for the position of another part data of storage sub-data flow in carton server Y, so that
Data management apparatus more easily retrieves the sub-data flow.
In addition, a sub-data flow is cut into some, store respectively, the surplus of storage server can be made full use of
Covolume amount, reduces cost of investment.
It is understood that sub-data flow can be cut into three parts or more, four parts or more, this hair
Bright embodiment is not limited this.Moreover, each is used for the surplus of the storage server for storing the partial data of sub-data flow
Covolume amount should be more than or volume is equal to the data volume of the partial data.
Exemplary, in the case where the judged result of S108 steps is no, storage server is arrived into sub-data flow B storages
In Y.
Using embodiment illustrated in fig. 3 of the present invention, sub-data flow can individually be stored, when user needs to use the part number
According to when, what system can be quickly retrieves the partial data, improves efficiency.
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality
Body or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or deposited between operating
In any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant are intended to
Nonexcludability is included, so that process, method, article or equipment including a series of key elements not only will including those
Element, but also other key elements including being not expressly set out, or also include being this process, method, article or equipment
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Also there is other identical element in process, method, article or equipment including the key element.
Each embodiment in this specification is described by the way of related, identical similar portion between each embodiment
Divide mutually referring to what each embodiment was stressed is the difference with other embodiment.It is real especially for system
Apply for example, because it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring to embodiment of the method
Part explanation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent substitution and improvements made within the spirit and principles in the present invention etc., are all contained in protection scope of the present invention
It is interior.
Claims (6)
1. a kind of big data processing method, it is characterised in that methods described includes：
User's request is obtained, wherein, preset content, and the preset content are included in the target requirement, including：ID,
The click record of user's hardware ID and user；
According to the user's request, data flow corresponding with the preset content in pending data stream is extracted, obtained
Target pending data stream；
According to the corresponding presupposed information of pieces of data included in the target pending data, by the target pending data
Multiple sub-data flows are divided into, wherein, the presupposed information includes：The pieces of data pair included in the target pending data
The corresponding temporal information of pieces of data included in the data type information and/or the target pending data answered；
For each sub-data flow, by sub-data flow storage into corresponding storage server.
2. according to the method described in claim 1, it is characterised in that according to the user's request, by pending data stream
Data flow corresponding with the preset content is extracted, and is obtained before target pending data stream, methods described also includes：
It is to have data to carry out legitimate verification to saying in pending data stream, to remove illegal data.
3. according to the method described in claim 1, it is characterised in that described according to the user's request, by pending data stream
In data flow corresponding with the preset content extract, obtain target pending data stream, including：
For each data in pending data stream, the data comprising the preset content are regard as the pending number of target
According to；
It regard the set of at least one target pending data of acquisition as target pending data stream.
4. according to the method described in claim 1, it is characterised in that described to be directed to each sub-data flow, the sub-data flow is deposited
Store up in corresponding storage server, including：
The presupposed information of the data stored in storage server is read, includes the sub-data flow storage of the presupposed information
Into the storage server.
5. according to the method described in claim 1, it is characterised in that methods described also includes：
For each sub-data flow, the size for the data volume that the sub-data flow is included is obtained；
Storage server corresponding with presupposed information and preset content that the sub-data flow is included is obtained, wherein, the storage
The data stored in server have and the presupposed information and preset content identical information；
Obtain the size of each storage server residual capacity；
Judge whether that residual capacity is more than the storage server of the data volume included of the sub-data flow；
If so, bag of at least two residual capacities less than the sub-data flow after the sub-data flow cutting, will be respectively stored into
In the storage server of the data volume contained, and at least two residual capacity is less than the data volume included of the sub-data flow
Storage server residual capacity sum, not less than the data volume included of the sub-data flow, and described for storing
Set up in the storage server of sub-data flow and point to other files for being used to store the storage server of the sub-data flow；
The sub-data flow is stored to the step in corresponding storage server if it is not, execution is described, wherein, it is described by the subnumber
According to stream storage into corresponding storage server, including：Sub-data flow storage is more than the son to the residual capacity
In the storage server of the data volume included of data flow.
6. method according to claim 5, it is characterised in that the sensing other be used to store depositing for the sub-data flow
The file of storage server is to point to described other and be used to storing in the storage server of the sub-data flow to store the subdata
The file of the position of stream.
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| CN201710562895.1A CN107330114A (en) | 2017-07-11 | 2017-07-11 | A kind of big data processing method |
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Application publication date: 20171107 |
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