CN109359226A - A kind of data capture method and relevant apparatus - Google Patents

A kind of data capture method and relevant apparatus Download PDF

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Publication number
CN109359226A
CN109359226A CN201811295963.3A CN201811295963A CN109359226A CN 109359226 A CN109359226 A CN 109359226A CN 201811295963 A CN201811295963 A CN 201811295963A CN 109359226 A CN109359226 A CN 109359226A
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China
Prior art keywords
data
aiming field
mark
predetermined number
group
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CN201811295963.3A
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Chinese (zh)
Inventor
范芳铭
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Guangzhou Pinwei Software Co Ltd
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Guangzhou Pinwei Software Co Ltd
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Priority to CN201811295963.3A priority Critical patent/CN109359226A/en
Publication of CN109359226A publication Critical patent/CN109359226A/en
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Abstract

This application discloses a kind of data capture methods, it is first each data addition mark to be obtained in big data system, so as to carry out paging processing to all data to be obtained according to the mark of addition, obtain the data group to be obtained of the first predetermined number, the data group to be obtained of the first predetermined number is concurrently obtained, therefore may be implemented concurrently to obtain the data in big data system.Present invention also provides a kind of data-acquisition system, device and computer readable storage mediums, and above-mentioned technical effect equally may be implemented.Present invention also provides a kind of data-acquisition system, device and computer readable storage mediums, and above-mentioned technical effect equally may be implemented.

Description

A kind of data capture method and relevant apparatus
Technical field
The present invention relates to big data technical field, more specifically to a kind of data capture method, system, device and Computer readable storage medium.
Background technique
With the development of computer technology, the scale of data volume is also increasing, and the scene that big data uses is more and more.
In traditional data storage technology, data are generally held in the same database, are needing to obtain database In mass data when, generally use the operation of concurrent paging processing, i.e., by major key by mass data carry out paging obtain it is more A data group, the multiple data groups of concurrent acquisition, to improve the efficiency of data acquisition.
But the scene used at present due to big data is more and more, data are generally held in big data system, big number Again include multiple distributed data systems according to system, thus when needing to obtain data, data to be obtained may deposit from it is different In distributed data system, therefore for data to be obtained, there is no the concepts of major key, thus can not by major key come It realizes and paging processing is carried out to data, also having resulted in the data in big data system can not achieve concurrent paging acquisition number According to.
Therefore, how to realize that the paging to big data system concurrency obtains data, be that those skilled in the art need to solve The problem of.
Summary of the invention
The purpose of the present invention is to provide a kind of data capture method, system, device and computer readable storage medium, with Solve the problems, such as how to realize that the paging to big data system concurrency obtains data.
To achieve the above object, the embodiment of the invention provides following technical solutions:
A kind of data capture method, comprising:
For the data addition mark to be obtained of each in big data system;
Paging processing is carried out to all data to be obtained according to the mark, obtains the to be obtained of the first predetermined number Data group;
Concurrently obtain the data group to be obtained of first predetermined number.
It is wherein, described for the data addition mark to be obtained of each in big data system, comprising:
Unique reference number is added for data to be obtained described in each in the big data system.
It is wherein, described to be identified according to presetting method for the data addition to be obtained of each in big data system, comprising:
Identical group of mark is added for the data to be obtained of every second predetermined number;Wherein, described group of target number is described First predetermined number.
Wherein, the data to be obtained for every second predetermined number add identical group of mark, comprising:
Aiming field is determined in the corresponding all fields of all data to be obtained;Wherein, the aiming field pair In all aiming field data answered, each aiming field Data duplication number is no more than preset value;
Each aiming field data are converted, number of targets corresponding with each aiming field data is obtained Word;
Modulo operation is carried out to each target number using first predetermined number, by each institute of obtained correspondence The modulus results of aiming field data is stated respectively as the group mark of data to be obtained corresponding with each aiming field data.
Wherein, described that each aiming field data are converted, it obtains and each aiming field data pair The target number answered, comprising:
Hash value is calculated to each aiming field data, obtains target corresponding with each aiming field data Number.
Wherein, described that each aiming field data are converted, it obtains and each aiming field data pair The target number answered, comprising:
Secret value is calculated to each aiming field data, obtains target corresponding with each aiming field data Number.
Present invention also provides a kind of data-acquisition systems, comprising:
Adding module is identified, for identifying for the data addition to be obtained of each in big data system;
Paging processing module obtains for carrying out paging processing to all data to be obtained according to the mark The data group to be obtained of one predetermined number;
Module is concurrently obtained, for concurrently obtaining the data group to be obtained of first predetermined number.
Wherein, the mark adding module, is specifically used for, and is data to be obtained described in each in the big data system Add unique reference number.
Present invention also provides a kind of data acquisition facilities, comprising:
Memory, for storing computer program;
Processor is realized when for executing the computer program such as the step of the data capture method.
A kind of computer readable storage medium is stored with computer program on the computer readable storage medium, described It realizes when computer program is executed by processor such as the step of the data capture method.
By above scheme it is found that a kind of data capture method provided by the invention, comprising: be each in big data system Item data addition mark to be obtained;Paging processing is carried out to all data to be obtained according to the mark, it is pre- to obtain first If the data group to be obtained of number;Concurrently obtain the data group to be obtained of first predetermined number.
It can be seen that a kind of data capture method provided by the present application, waits obtaining for each in big data system first Access is identified according to addition, and so as to carry out paging processing to all data to be obtained according to the mark of addition, it is pre- to obtain first If the data group to be obtained of number, the data group to be obtained of the first predetermined number is concurrently obtained, therefore may be implemented concurrently to obtain Data in big data system.
Present invention also provides a kind of data-acquisition system, device and computer readable storage mediums, equally may be implemented Above-mentioned technical effect.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, 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 Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 is a kind of data capture method flow chart disclosed by the embodiments of the present invention;
Fig. 2 is a kind of specific data capture method flow chart disclosed by the embodiments of the present invention;
Fig. 3 is a kind of specific data capture method flow chart disclosed by the embodiments of the present invention;
Fig. 4 is a kind of specific data capture method flow chart disclosed by the embodiments of the present invention;
Fig. 5 is a kind of data-acquisition system structural schematic diagram disclosed by the embodiments of the present invention;
Fig. 6 is a kind of data acquisition facility structural schematic diagram disclosed by the embodiments of the present invention.
Specific embodiment
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 description, 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 embodiment of the invention discloses a kind of data capture method, system, device and computer readable storage mediums, with solution Certainly how to realize the problem of paging to big data system concurrency obtains data.
Referring to Fig. 1, a kind of data capture method provided in an embodiment of the present invention is specifically included:
S101 is each data addition mark to be obtained in big data system.
In the present solution, be first each data addition mark to be obtained in big data system, the mark for pair Data to be obtained carry out paging processing.
It should be noted that being generally held in the data in big data system in different distributed data systems, such as Want concurrent paging to obtain data, it is necessary to know which data to be obtained has been slit into sheets processing, which not yet, thus to not having There are the data for being slit into sheets processing to carry out paging processing.It therefore, is each data addition mark to be obtained in this programme, thus Determine that the data of which kind of mark have been slit into sheets processing by mark, the data of which kind of mark are also not processed.
In the present solution, can be the unique mark of each data to be obtained addition, i.e. each data to be obtained Mark is all different, or the same mark is arranged in multiple data to be obtained, by the data page to be obtained of like-identified For same data group.
S102 carries out paging processing to all data to be obtained according to the mark, obtains the first predetermined number Data group to be obtained.
Specifically, after being added to mark to each data to be obtained, so that it may carry out paging to data to be obtained Processing, to obtain the data group to be obtained of the first predetermined number.
It should be noted that the first predetermined number also is understood as number of concurrent, when concurrently obtaining data group to be obtained, need The data group to be obtained of the first predetermined number is concurrently obtained simultaneously.
For example, sharing 100 data to be obtained, unique identification is added to each data to be obtained, i.e. label 1 arrives 100, and the first predetermined number is 5, i.e. number of concurrent is 5, that is, concurrently obtains 5 groups of data groups to be obtained, then to number to be obtained Just need to obtain 5 groups of data groups to be obtained according to paging processing is carried out, each group of data group to be obtained is 20 data.By unique Label may know that carried out paging processing is which, which pending paging processing is, for example, by label 1 to 20 Paging processing is carried out, one group of data group to be obtained has been obtained, has then carried out paging processing again, needed the data in label 21 to 100 In, paging processing is carried out, 4 groups of data groups to be obtained are obtained.
S103 concurrently obtains the data group to be obtained of first predetermined number.
After carrying out paging processing to all data to be obtained, the described to be obtained of the first predetermined number can be concurrently obtained Data group.
Specifically, data group to be obtained is concurrently obtained, as utilizes multiple threads by all data groups to be obtained simultaneously It gets in corresponding operation system.
It can be seen that a kind of data capture method provided by the embodiments of the present application, is each in big data system first Item data addition mark to be obtained obtains so as to carry out paging processing to all data to be obtained according to the mark of addition The data group to be obtained of first predetermined number, concurrently obtains the data group to be obtained of the first predetermined number, therefore may be implemented simultaneously Hair obtains the data in big data system.
A kind of specific data capture method provided by the embodiments of the present application is introduced below, the embodiment of the present application mentions A kind of specific data capture method supplied has done further restriction to S101 in above-described embodiment and has illustrated, in other steps Appearance is roughly the same with above-described embodiment, and the embodiment of the present application will not be described in great detail.
Referring to fig. 2, a kind of data capture method provided by the embodiments of the present application, specifically includes:
S201 is that the data to be obtained of every second predetermined number add identical group of mark;Wherein, described group of target number is First predetermined number.
It, will be identical so as to when paging is handled in the present solution, identical mark is arranged for multiple data to be obtained The data to be obtained of mark are as same group of data group to be obtained.
Specifically, identical mark, that is, group mark, group target are added for the data to be obtained of every second predetermined number Number is identical as the first predetermined number.
For example, there is 100 data to be obtained, wherein the second predetermined number is 20, and the first predetermined number is 5, that is, will Every 20 data to be obtained in 100 data to be obtained add like-identified.
S202 carries out paging processing to all data to be obtained according to the mark, obtains the first predetermined number Data group to be obtained.
Specifically, in this programme when carrying out paging processing, identical group of target data can be divided into one group it is to be obtained Data group.
S203 concurrently obtains the data group to be obtained of first predetermined number.
A kind of specific data capture method provided by the embodiments of the present application is introduced below, one kind described below Specific data capture method is described further and illustrates to S201 in above-described embodiment, other step contents and above-mentioned reality It is roughly the same to apply example, particular content is referred to above-described embodiment.
Referring to Fig. 3, a kind of specific data capture method provided by the embodiments of the present application is specifically included:
S301 determines aiming field in the corresponding all fields of all data to be obtained;Wherein, the target word In the corresponding all aiming field data of section, each aiming field Data duplication number is no more than preset value.
It should be noted that data to be obtained are corresponding with multiple fields, such as id, user name, gender etc., and each field There are corresponding data content, that is, field data again, e.g., the first data, id 1, the entitled Zhang San of user, gender is male; Second data, id 2, the entitled Li Si of user, gender is female.For field id, " 1 ", " 2 " are its field data, " Zhang San ", " Li Si " are its field data for field user name.
In the corresponding all fields of data to be obtained, determine that aiming field, aiming field refer to that field data repeats Number is no more than the field of preset value, for example, corresponding field data is unduplicated number respectively for id field According to then id can be used as aiming field, if the duplicate number of field data is more than default for username field Value, if preset value is 3, wherein the data of the entitled Zhang San of user have been more than 3, that is to say, that this field of user name, Field Count Preset value is just had exceeded according to number of repetition, then user name cannot function as aiming field.
Preferably, in the present solution, aiming field, which is selected as field data, does not have duplicate field.
S302 converts each aiming field data, obtains corresponding with each aiming field data Target number.
Due to the form of field data may have number, letter or Chinese, for convenience subsequent modulo operation, It needs aiming field data being converted to target number.
In a specific embodiment, hash value is calculated to each aiming field data, obtained and each institute State the corresponding target number of aiming field data.
It should be noted that Hash, " hash " is done in general translation, and it is exactly any that also having direct transliteration, which is " Hash ", The input (be called and be preliminary mapping pre-image) of length is transformed into the output of regular length by hashing algorithm, which is exactly Hashed value, hashed value are corresponding target number.
In another particular embodiment of the invention, secret value is calculated to each aiming field data, obtain with each The corresponding target number of the aiming field data.
It should be noted that aiming field data are encrypted, such as using md5 encryption algorithm to aiming field Data are encrypted, and can obtain the target number for corresponding to each aiming field data.
S303 carries out modulo operation, the correspondence that will be obtained to each target number using first predetermined number The modulus result of each aiming field data is respectively as data to be obtained corresponding with each aiming field data Group mark.
It should be noted that after aiming field data are converted to number, using the first predetermined number to each target The corresponding target number of field carries out modulo operation, and modulo operation is to make target number divided by the first predetermined number, final to obtain To remainder, remainder is modulus result.
Such as target number is 6, the first predetermined number is 5, then carries out modulo operation, be then 6%5=1.
Since modulo operation is remainder of the target number divided by the first predetermined number, the number of remainder also only has first Predetermined number, i.e. the 0 to the first predetermined number -1, therefore corresponding modulus result i.e. remainder may act as target number institute The mark of corresponding aiming field data, that is, the mark as the corresponding data to be obtained of aiming field data.For example, mesh Marking-up section is user name, the corresponding all data of the username field is converted to number, for example, Zhang San, Li Si pass through correspondence Algorithm is respectively converted into 6,7, and the first predetermined number is 5, then its corresponding modulus result is then respectively 1 and 2, then by Zhang San couple Answer data to be obtained " id 1, the entitled Zhang San of user, gender be male " addition mark 1, by the corresponding data of Li Si " id 2, The entitled Li Si of user, gender are female " addition mark 2.
After through the method for the embodiment of the present application addition mark, each quantity for identifying corresponding data to be obtained is basic It is identical, therefore data to be obtained can be grouped into the same group by the data of like-identified when paging is handled.
S304 carries out paging processing to all data to be obtained according to the mark, obtains the first predetermined number Data group to be obtained.
S305 concurrently obtains the data group to be obtained of first predetermined number.
A kind of specific data capture method provided by the embodiments of the present application is introduced below, the embodiment of the present application mentions A kind of specific data capture method supplied has done further restriction to S101 in above-described embodiment and has illustrated, in other steps Appearance is roughly the same with above-described embodiment, and the embodiment of the present application will not be described in great detail.
Referring to fig. 4, a kind of specific data capture method provided by the embodiments of the present application, specifically includes:
S401 is data addition unique reference number to be obtained described in each in the big data system.
It should be noted that label is added for data to be obtained through the foregoing embodiment, it is default according to first due to needing Number, that is, number of concurrent determine label, therefore, can only have a kind of grouping to select in paging processing, if crossing needs more A group number, that is, replacement number of concurrent are changed, then also needing to add label again.
In the present solution, adding unique reference number for each data to be obtained in big data system.Due to each number According to there is unique label, therefore when carrying out paging processing, the first predetermined number, that is, number of concurrent can also flexibly be set, For example, there is 100 data to be obtained, label 1 to 100, the first predetermined number can arbitrarily be set, for example, being set as 5, then It needs 100 data to be obtained being divided into 5 groups, as long as can guarantee the data to be obtained for being slit into sheets processing by label It will not duplicate progress paging processing.
It should be noted that unique reference number can be line number, the nexr_row_ provided using the community apache.org Number method is that each data to be obtained add line number, and related nexr_row_number method can be with specific reference to existing Technology, in the present solution, being not specifically limited.
S402 carries out paging processing to all data to be obtained according to the mark, obtains the first predetermined number Data group to be obtained.
S403 concurrently obtains the data group to be obtained of first predetermined number.
A kind of data-acquisition system provided by the embodiments of the present application is introduced below, a kind of data described below obtain Take system can be cross-referenced with above-described embodiment.
Referring to Fig. 5, a kind of data-acquisition system provided by the embodiments of the present application is specifically included:
Adding module 501 is identified, for identifying for the data addition to be obtained of each in big data system.
In a specific embodiment, mark adding module 501 is specifically used for being each in the big data system Data addition unique reference number to be obtained described in item.
In another particular embodiment of the invention, mark adding module 501 be specifically used for for every second predetermined number to It obtains data and adds identical group of mark;Wherein, described group of target number is first predetermined number.
In another particular embodiment of the invention, adding module 501 specifically includes:
Aiming field determination unit, for determining target word in the corresponding all fields of all data to be obtained Section;Wherein, in the corresponding all aiming field data of the aiming field, each aiming field Data duplication number is no more than pre- If value.
Converting unit obtains and each target word number of segment for converting to each aiming field data According to corresponding target number.
Wherein, converting unit is specifically used for calculating hash value to each aiming field data, obtains and each described The corresponding target number of aiming field data.
Wherein, converting unit is specifically used for calculating secret value to each aiming field data, obtains and each described The corresponding target number of aiming field data.
Modulus unit, for carrying out modulo operation to each target number using first predetermined number, will The modulus result of each aiming field data of the correspondence arrived respectively as it is corresponding with each aiming field data to Obtain the group mark of data.
Paging processing module 502 is obtained for carrying out paging processing to all data to be obtained according to the mark The data group to be obtained of first predetermined number.
Module 503 is concurrently obtained, for concurrently obtaining the data group to be obtained of first predetermined number.
The data-acquisition system of the present embodiment is for realizing data capture method above-mentioned, therefore in data-acquisition system The embodiment part of the visible data capture method hereinbefore of specific embodiment, for example, adding module 501 is identified, at paging Module 502 is managed, module 503 is concurrently obtained, is respectively used to realize step S101 in above-mentioned data capture method, S102, S103, institute With specific embodiment is referred to the description of corresponding various pieces embodiment, and details are not described herein.
Referring to Fig. 6, a kind of data acquisition facility provided by the embodiments of the present application is introduced below, described below one Kind data acquisition facility, specifically includes:
Memory 601, for storing computer program;
Processor 602 realizes the data recipient as described in above-mentioned any embodiment when for executing the computer program The step of method.
Specifically, memory 601 includes non-volatile memory medium, built-in storage.Non-volatile memory medium storage There are operating system and computer-readable instruction, which is that the operating system and computer in non-volatile memory medium can The operation of reading instruction provides environment.Processor 602 provides calculating and control ability for data acquisition facility, may be implemented above-mentioned Step provided by one data capture method embodiment.
On the basis of the above embodiments, preferably, the data acquisition facility further include:
Input interface 603 is controlled through processor and is saved for obtaining computer program, parameter and the instruction of external importing Into memory.The input interface 603 can be connected with input unit, receive parameter or instruction that user is manually entered.This is defeated Entering device can be the touch layer covered on display screen, be also possible to the key being arranged in terminal enclosure, trace ball or Trackpad, It is also possible to keyboard, Trackpad or mouse etc..Specifically, in the present embodiment, user can be selected manually by input interface 603 Select the first predetermined number, the second predetermined number and data to be obtained etc..
Display unit 604, the data sent for video-stream processor.The display unit 604 can be the display in PC machine Screen, liquid crystal display or electric ink display screen etc..Specifically, in this example it is shown that unit 604 can show data Processing result of the acquisition device to data to be obtained.
The network port 605, for being communicatively coupled with external each terminal device.Skill is communicated used by the communication connection Art can be cable communicating technology or wireless communication technique, as mobile high definition chained technology (MHL), universal serial bus (USB), High-definition media interface (HDMI), Bluetooth Communication Technology, the low-power consumption bluetooth communication technology, is based on adopting wireless fidelity technology (WiFi) The communication technology etc. of IEEE802.11s.Specifically, in this programme the network port 605 can be used for it is mutual with big data system Connection, therefrom obtains data to be obtained.
Present invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, the computer Step provided by above-described embodiment may be implemented when program is executed by processor.The storage medium may include: USB flash disk, movement Hard disk, read-only memory (Read-Only Memory, ROM), random access memory (RandomAccess Memory, RAM), the various media that can store program code such as magnetic or disk.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other The difference of embodiment, the same or similar parts in each embodiment may refer to each other.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one The widest scope of cause.

Claims (10)

1. a kind of data capture method characterized by comprising
For the data addition mark to be obtained of each in big data system;
Paging processing is carried out to all data to be obtained according to the mark, obtains the data to be obtained of the first predetermined number Group;
Concurrently obtain the data group to be obtained of first predetermined number.
2. the method according to claim 1, wherein described add for each data to be obtained in big data system Mark-on is known, comprising:
Unique reference number is added for data to be obtained described in each in the big data system.
3. the method according to claim 1, wherein it is described according to presetting method be big data system in each Data addition mark to be obtained, comprising:
Identical group of mark is added for the data to be obtained of every second predetermined number;Wherein, described group of target number is described first Predetermined number.
4. according to the method described in claim 3, it is characterized in that, the data to be obtained for every second predetermined number are added Identical group of mark, comprising:
Aiming field is determined in the corresponding all fields of all data to be obtained;Wherein, the aiming field is corresponding In all aiming field data, each aiming field Data duplication number is no more than preset value;
Each aiming field data are converted, target number corresponding with each aiming field data is obtained;
Modulo operation is carried out to each target number using first predetermined number, by each mesh of obtained correspondence Group mark of the modulus result of marking-up segment data respectively as data to be obtained corresponding with each aiming field data.
5. according to the method described in claim 4, it is characterized in that, described convert each aiming field data, Obtain target number corresponding with each aiming field data, comprising:
Hash value is calculated to each aiming field data, obtains number of targets corresponding with each aiming field data Word.
6. according to the method described in claim 4, it is characterized in that, described convert each aiming field data, Obtain target number corresponding with each aiming field data, comprising:
Secret value is calculated to each aiming field data, obtains number of targets corresponding with each aiming field data Word.
7. a kind of data-acquisition system characterized by comprising
Adding module is identified, for identifying for the data addition to be obtained of each in big data system;
It is pre- to obtain first for carrying out paging processing to all data to be obtained according to the mark for paging processing module If the data group to be obtained of number;
Module is concurrently obtained, for concurrently obtaining the data group to be obtained of first predetermined number.
8. system according to claim 7 is gone, which is characterized in that the mark adding module is specifically used for, and is described big Data addition unique reference number to be obtained described in each in data system.
9. a kind of data acquisition facility characterized by comprising
Memory, for storing computer program;
Processor, realizing the data capture method as described in any one of claim 1 to 6 when for executing the computer program Step.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium Program realizes the step of the data capture method as described in any one of claim 1 to 6 when the computer program is executed by processor Suddenly.
CN201811295963.3A 2018-11-01 2018-11-01 A kind of data capture method and relevant apparatus Pending CN109359226A (en)

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CN110636164A (en) * 2019-09-10 2019-12-31 广东小天才科技有限公司 Strange number matching method, device, equipment and storage medium

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CN103067439A (en) * 2012-10-17 2013-04-24 北京奇虎科技有限公司 Load balancing method and system

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CN103067439A (en) * 2012-10-17 2013-04-24 北京奇虎科技有限公司 Load balancing method and system
CN102968491A (en) * 2012-11-27 2013-03-13 深圳市网信联动技术有限公司 Data distributing method and device

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CN109885729A (en) * 2019-02-20 2019-06-14 北京奇艺世纪科技有限公司 A kind of method, apparatus and system showing data
CN110636164A (en) * 2019-09-10 2019-12-31 广东小天才科技有限公司 Strange number matching method, device, equipment and storage medium
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Application publication date: 20190219