CN109213909A - A kind of big data analysis system and its analysis method fusion search and calculated - Google Patents
A kind of big data analysis system and its analysis method fusion search and calculated Download PDFInfo
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Abstract
The present invention relates to a kind of big data analysis systems fusion search and calculated, and include data collection layer, pretreatment layer, analysis engine layer and display layer.The present invention carries out visual search with expression language by retrieval and obtains big data analysis result, greatly reduce the professional requirement that big data analysis platform uses, reduce the cost that enterprise needs while employing IT technical staff and business analyst, expression language order simultaneously is independent, alternative, compared to before using the programming mode of traditional big data platform, scalability is strong, greatly reduces complexity, while improving big data analysis efficiency.
Description
Technical field
The present invention relates to a kind of big data analysis method, specifically a kind of big data analysis fusion search and calculated
System and its analysis method belong to big data analysis processing technology field.
Background technique
With the high speed development of internet, data volume collected by enterprise also exponentially increases, including transaction data, position
Set data, user interactive data, logistics data, supply chain data, enterprise operation data, hardware monitoring data, using log number
According to etc., these data can not be obtained and be handled by conventional software in a short time, be to need completely new tupe
The magnanimity for more having decision edge, high growth rate and diversified information assets could be found from mass data.With modern surveying
The form of the development of technology and smart machine, data is developed by the single structural data of tradition by structural data, half hitch
The complicated data mode of structure data and unstructured data composition.The fast development of internet has given people to share these
The platform of data, resulting mass data by it is found that and utilize, just produce novel big data concept.IBM gives
Gone out the 5V feature (IBM proposition) of big data: Volume(is a large amount of), Velocity(high speed), Variety(multiplicity), Value
(low value density), Veracity(authenticity).
Compared to traditional relational database, big data has the characteristics that data volume is huge, structure is complicated, numerous types, this
New challenge is proposed to the storage, processing and analysis of big data.Traditional Data Analysis Services technology (such as parallel data
Library, data warehouse) there are the problem of have: 1. traditional data warehouse technology can only generally handle the data volume of TB rank, however
Big data often support limited spread mostly, can generally expand to the rule of hundreds of nodes by PB rank even EB rank, parallel database
Mould, there has been no the application case of thousands of nodes scale, conventional data analysis processing technique can not handle the high scalability of big data
And massive demand；2. big data covers various types of data, including structuring, semi-structured and unstructured data, no
The analysis of same type data is not quite similar, conventional data analysis processing often just for a certain categorical data and relatively simple,
The method of big data analysis is also diversification, just there is data mining, pattern-recognition, data fusion and integrated, time series analysis
Cause available data Spatial Dimension to increase Deng, the increase of data type, substantially increases the complexity of big data analysis processing；
3. the raising of traditional database processing capacity upgrades dependent on CPU/ memory/storage/network update, and the processing mould of big data
Formula is mode of the one kind based on " scale-out ", its performance is improved dependent on continuous toward increase low price in distributed system
Calculating and memory node；4. traditional data processing method is and under big data environment, to need to take centered on processor
Data-centered mode, reduces the mobile bring expense of data, and traditional data processing method does not adapt to big number
According to demand.
There is currently the big data analysis frame such as Hadoop, Storm, Spark there is wide applicability, become mainstream
Big data processing technique and analysis platform, bring many convenient places for big data analysis.However they also all or mostly or
There are problems less, and the user of these analysis platforms is often IT professional, and IT personnel are ignorant of the business valence of data
Value, not can be well solved the wide gap between Computational frame and the data value of excavation.Hadoop is based on HDFS(distributed document
System), need cutting input data, generate intermediate data file, sequence, data compression, book copying etc., efficiency is lower.
Storm is based on this high performance message communication library ZeroMQ, not perdurable data.These existing big data platforms can only be complete
Merge at the distribution of task with the result after calculating, there is uncertainty as obtained data value is excavated.
Summary of the invention
The technical problem to be solved by the present invention is to, the shortcomings that overcoming the prior art, a kind of fusion search is provided and is calculated
Big data analysis system and its analysis method, overcome and need professional programmers to be programmed reality using traditional big data platform
Existing problem substantially increases the practicability of big data analysis platform.
For the present invention proposes a kind of big data analysis system fusion search and calculated, and includes
Data collection layer, pretreatment layer, analysis engine layer and display layer；
The data collection layer, for obtaining data to be analyzed；Wherein the source of data to be analyzed includes Miscellaneous Documents, network number
According to stream, all kinds of servers and all kinds of operation systems；
The pretreatment layer include full-text search module, structural data processing module, distributed data interface module, for pair
The data to be analyzed obtained are pre-processed；
On the one hand the analysis engine layer carries out classification storage according to attribute type for the data after pretreatment；It is another
Aspect acquires the expression formula from display layer, carries out syntactic analysis and is executed, the calculated result that analysis executes is returned to
Display layer；
The display layer, for showing the analysis of fusion search and the big data calculated as a result, the display layer uses panel, figure
Table, expression formula mode show fusion search with calculate big data analysis result.
Of the invention further limits technical solution, and the big data analysis system above-mentioned fusion search and calculated is described
Full-text search module, for being retrieved to the data to be analyzed of acquisition；Structural data processing module, for acquisition to
Analyze data structured processing；Distributed data interface module, for the data to be analyzed of acquisition to be carried out data transmission and deposited
Storage.
The big data analysis system above-mentioned fusion search and calculated, also sets between the data collection layer and pretreatment layer
There is security isolation layer.
The big data analysis system above-mentioned fusion search and calculated, the analysis engine layer is by the expression from display layer
Formula carries out syntactic analysis, resolves into the subcommand of level-one level-one, then sequentially execute each subcommand；Each subcommand is with setting
Calculating parameter, if sum is exactly statistics summation, max is exactly the maximum value for seeking corresponding field in data set, each subcommand corresponding one
Kind analysis processing；The data output of upper level subcommand is exactly the data input of next stage subcommand, and data just use pipe machine
System running, and first order subcommand directly reads data from data storage；It can be flexible group by the different subcommand of function
It is combined, to realize the computing function of analysis engine layer.The expression formula of the display layer is from display layer UI search box
Search statement.
A kind of analysis method based on fusion search and the big data analysis system calculated, includes the following steps:
Step 1, data to be analyzed are obtained；
Step 2, the data to be analyzed obtained to step 1 pre-process；
Step 3, it is stored after carrying out classification processing according to the data attribute obtained after pretreatment；Again by the table from display layer
After the subcommand for resolving into level-one level-one up to formula, sequence is executed, and returns result to display layer；
Step 4, the data after step 3 analysis are shown by the way of panel, chart, expression formula.
The analysis method of fusion search and the big data analysis system calculated above-mentioned, the step 2 is specifically comprising as follows
Step；
Step 2.1, the text of data to be analyzed is extracted；
Step 2.2, field is extracted according to the match pattern that default and user specifies from text and derived data；
Step 2.3, the corresponding text of extraction field is segmented and establishes index.
Further, the analysis method of fusion search and the big data analysis system calculated above-mentioned, the step 1 include
Following steps: data are 1. added；
2. accurately setting date-time improves retrieval analysis efficiency；
3. being analyzed by field interested；
4. step 3. on the basis of further analysis extract useful information analysis；
5. 4. repeating step obtains information needed until excavating.
The beneficial effects of the present invention are: the present invention, which carries out visual search with expression language by retrieval, obtains big data
Analysis is as a result, greatly reducing the professional requirement that big data analysis platform uses, reducing enterprise's needs while employing IT skill
The cost of art personnel and business analyst, while expression language order is independent, alternative, and the big number of tradition is used compared to before
According to the programming mode of platform, scalability is strong, greatly reduces complexity, while improving big data analysis efficiency.The present invention mentions
Systems approach out completely gets through the committed steps such as acquisition, storage, analysis, the presentation of big data, and industry user is allowed to focus on greatly
The business diagnosis of data, excavates the value of big data, traditional big data platform only carried out as Computational frame the distribution of task with
The merging of calculated result, therefore income analysis result may not have value to enterprise, the present invention spans Computational frame and data
Wide gap between value ensure that it is valuable for excavating the data obtained.Systems approach proposed by the present invention can easily handle more
Source isomeric data (structuring, semi-structured, unstructured data), event mode (event) data point for the super magnanimity that is particularly good at
Analysis processing can be widely applied various industries and run relevant big data analysis.Present invention employs pipeline mechanism, use vertical line
Or order is applied to the event of retrieval by pipe, can be operated step by step, the operating result of each step can be used as
The operation basis of next step, enables big data analysis to follow one's inclinations with the demand of industry and client and becomes.
Detailed description of the invention
Fig. 1 is general structure schematic diagram of the present invention；
Fig. 2 is the control flow chart of the present embodiment data service engine；
Fig. 3 is the data flow diagram of the present embodiment data prediction；
Fig. 4 is the data flow diagram of the present embodiment data service engine；
Fig. 5 is the data flow diagram that the present embodiment UI is presented；
Fig. 6 is the data prediction result of concrete case.
Specific embodiment
Embodiment 1
The present embodiment provides it is a kind of fusion search with calculate big data analysis system, as shown in Figure 1, comprising data collection layer,
Pretreatment layer, analysis engine layer and display layer；Wherein, data collection layer, for obtaining data to be analyzed；Data to be analyzed are come
Source includes Miscellaneous Documents, network data flow, all kinds of servers, all kinds of operation systems；Pretreatment layer, for the to be analyzed of acquisition
Data are pre-processed；Pretreatment layer includes full-text search module, structural data processing module, distributed data interface mould
Block；Analysis engine layer realizes the classification processing and storage of data, and carries out syntactic analysis to the search expression of display layer, holds
Capable and returned data result；Display layer, for showing analysis of the fusion search with the big data calculated as a result, the display layer is adopted
The analysis result of fusion search and the big data calculated is shown with the mode of panel, chart, expression formula.
Wherein, full-text search module, for being retrieved to the data to be analyzed of acquisition；Structural data processing module,
For the data structured to be analyzed processing to acquisition；Distributed data interface module, for the data to be analyzed to acquisition into
The transmission of row data and storage.
The systems approach that the present embodiment proposes completely gets through data preparation, data storage and management, calculation processing, data point
Analyse this 4 big data processing key links.To achieve the goals above, the present embodiment uses the big number of fusion search and calculating
According to analysis and processing method, cardinal principle is as follows: the present embodiment carries out big data search by retrieval and expression language, for
Search acquired results system provides " field interested " to user with inspiration, facilitates heuristic analysis.User can be previous
Further progress operation, screening, progressive on the result of secondary searching analysis, is hidden in big data close to acquisition step by step
Internal core information.Order simultaneously can be substituted to generate different analyses as a result, thinking when the analysis of a certain step fails to generate
The result wanted either back, which analyzes, staggers the time, it is only necessary to simply leave out or replace previous step command, without weight
It is new to realize.The mechanism of this duct type is flexible and efficient, and order is independent, is not influenced by operating before, using it is very convenient efficiently.
As shown in Fig. 2, coming from browser, i.e. display layer, the request that the UI of this system uses web mode to present is sent to
Back end application server (web is front end), if request static resource such as picture etc., directly returns to static resource；If it is
Request is then first carried out particular conversion by the corresponding data application of rear end by some app, then gives the progress of expression parsing engine
Analysis dismantling is run at subcommand one by one, returns again to calculated result, and subcommand obtains primary data from data-interface；If
Request is limit expression formula, refers to it is not the general search order being made of subcommand, then directly access data-interface returns again to number
According to.
The present embodiment, can also be graphical on the basis of realizing big data searching analysis with expression language by retrieval
Display data amount, is supported the adaptation of a variety of data formats and type and is mentioned from data the time series of selection time range
Take field and graphical representation.
The step of carrying out big data analysis using the system of the present embodiment is as follows: 1. adding data, (the present embodiment can be with rope
Draw any computer data, data source includes structural data (CSV, XML, JSON), database service (Oracle,
MySQL, Microsoft SQL Server), WEB services (Apache, IIS) etc..) 2. accurately setting date-time improves inspection
Rope analysis efficiency 3. by field interested analyzed 4. step 3. on the basis of further analysis extract useful information analysis
5. 4. repeating step obtains information needed until excavating；The overall structure of the present embodiment is divided into data collection layer, pretreatment layer, divides
Analyse engine layers and presentation layer.After importing data, system extracts text from different types of file, channel, log, data flow
This, removes other irrelevant contents.Then field is extracted, the matching specified from text and source metadata according to default and user
Pattern extraction field is as shown in Figure 6.The field is to original, channel, log, a description of data flow.To what is extracted
Text is segmented and is established index, and each field and text itself become the results set being indexed.In addition, field itself
With certain property that is retrieved.
Preprocessing process from temporary file as shown in figure 3, extract text, and according to configuration, extract every event mode number
According to time field, if without time field using internal time stamp replace.Then the field configuration of foundation configuration file, from
Every data extracts various fields, and the field of extraction and urtext are finally carried out classified index storage, are put into index data
Library.Pipeline order, limit expression formula provide one it is unified, it is relatively advanced to generated event type data and other processes
The data access interface of processing.By taking certain company finds certain employee access illegal website as an example.First by recent network access log
It is imported into this system, then in the search input frame input " search type=weblog | unusual domain " at interface,
Wherein data are searched in search type=weblog representative from network access log, and unusual domain is represented from number
The log of improper website domain name is filtered out in.It can be obtained by the log recording comprising access illegal website in this way.Then
The analysis of return is observed again as a result, selecting illegal website access log therein.Further according to this domain name access record come
Check visitor ip (client_ip) and the address ip corresponding to the information such as terminal, confirm step by step, finally
Result i.e. " which illegal website when who having accessed " is found in the analysis for completing big data.
In conclusion the present embodiment, which carries out visual search with expression language by retrieval, obtains big data analysis knot
Fruit greatly reduces the professional requirement that big data analysis platform uses, and reduces enterprise and needs while employing IT technical staff
With the cost of business analyst, while expression language order is independent, alternative, and traditional big data platform is used compared to before
Programming mode, scalability is strong, greatly reduces complexity, while improving big data analysis efficiency；What the present embodiment proposed
Systems approach completely gets through the committed steps such as acquisition, storage, analysis, the presentation of big data, and industry user is allowed to focus on big data
Business diagnosis, excavate the value of big data, traditional big data platform only carries out the distribution and calculating of task as Computational frame
As a result merging, therefore income analysis result may not have value to enterprise.The present embodiment spans Computational frame and data valence
Wide gap between value ensure that it is valuable for excavating the data obtained；The systems approach that the present embodiment proposes can easily handle more
Source isomeric data (structuring, semi-structured, unstructured data), event mode (event) data point for the super magnanimity that is particularly good at
Analysis processing can be widely applied various industries and run relevant big data analysis；The present embodiment uses pipeline mechanism, using perpendicular
Order is applied to the event of retrieval by line or pipe, can be operated step by step, the operating result of each step can be made
For the operation basis of next step, this enables big data analysis to follow one's inclinations with the demand of industry and client and becomes.This reality simultaneously
It applies example and uses heuristic analysis, it is at one's wit's end in face of big data, when not knowing how to excavate wherein data value, user can be excited
Inspiration helps user gradually to find data value.
In addition to the implementation, the present invention can also have other embodiments.It is all to use equivalent substitution or equivalent transformation shape
At technical solution, fall within the scope of protection required by the present invention.
Claims (8)
1. it is a kind of fusion search with calculate big data analysis system, comprising data collection layer, pretreatment layer, analysis engine layer and
Display layer；It is characterized by:
The data collection layer, for obtaining data to be analyzed；Wherein the source of data to be analyzed includes Miscellaneous Documents, network number
According to stream, all kinds of servers and all kinds of operation systems；
The pretreatment layer include full-text search module, structural data processing module, distributed data interface module, for pair
The data to be analyzed obtained are pre-processed；
On the one hand the analysis engine layer carries out classification storage according to attribute type for the data after pretreatment；It is another
Aspect acquires the expression formula from display layer, carries out syntactic analysis and is executed, the calculated result that analysis executes is returned to
Display layer；
The display layer, for showing the analysis of fusion search and the big data calculated as a result, the display layer uses panel, figure
Table, expression formula mode show fusion search with calculate big data analysis result.
2. the big data analysis system according to claim 1 fusion search and calculated, it is characterised in that: the full text inspection
Rope module, for being retrieved to the data to be analyzed of acquisition；Structural data processing module, for the number to be analyzed to acquisition
It is handled according to structuring；Distributed data interface module, for the data to be analyzed of acquisition to be carried out data transmission and stored.
3. the big data analysis system according to claim 1 fusion search and calculated, it is characterised in that: the data are adopted
Security isolation layer is additionally provided between collection layer and pretreatment layer.
4. the big data analysis system according to claim 1 fusion search and calculated, it is characterised in that: the analysis is drawn
It holds up layer and the expression formula from display layer is subjected to syntactic analysis, resolve into the subcommand of level-one level-one, then sequentially execute each height
Order；Each subcommand has setup algorithm parameter, and each subcommand corresponds to a kind of analysis processing；The data of upper level subcommand
Output is exactly the data input of next stage subcommand, and data just use pipeline mechanism operation, and first order subcommand is directly from number
According to reading data in storage；The different subcommand of function can be combined flexibly, to realize analysis engine layer
Computing function.
5. the big data analysis system according to claim 1 or 4 fusion search and calculated, it is characterised in that: described aobvious
The expression formula for showing layer is the search statement from display layer UI search box.
6. a kind of analysis method based on fusion search and the big data analysis system calculated described in claim 1, feature exist
In including the following steps:
Step 1, data to be analyzed are obtained；
Step 2, the data to be analyzed obtained to step 1 pre-process；
Step 3, it is stored after carrying out classification processing according to the data attribute obtained after pretreatment；Again by the table from display layer
After the subcommand for resolving into level-one level-one up to formula, sequence is executed, and returns result to display layer；
Step 4, the data after step 3 analysis are shown by the way of panel, chart, expression formula.
7. the analysis method of fusion search and the big data analysis system calculated according to claim 6, it is characterised in that
The step 2 specifically includes the following steps；
Step 2.1, the text of data to be analyzed is extracted；
Step 2.2, field is extracted according to the match pattern that default and user specifies from text and derived data；
Step 2.3, the corresponding text of extraction field is segmented and establishes index.
8. the analysis method of fusion search and the big data analysis system calculated according to claim 6, it is characterised in that:
1. the step 1 is the following steps are included: add data；
2. accurately setting date-time improves retrieval analysis efficiency；
3. being analyzed by field interested；
4. step 3. on the basis of further analysis extract useful information analysis；
5. 4. repeating step obtains information needed until excavating.
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| CN201710812194.9A CN107562909A (en) | 2017-09-11 | 2017-09-11 | A kind of big data analysis system and its analysis method for merging search and calculating |
| CN2017108121949 | 2017-09-11 |
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| CN201811048809.6A Pending CN109213909A (en) | 2017-09-11 | 2018-09-10 | A kind of big data analysis system and its analysis method fusion search and calculated |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112650903A (en) * | 2020-08-28 | 2021-04-13 | 武汉市可伴信息技术有限公司 | Commodity collection platform based on multi-fusion mode |
| CN116627907A (en) * | 2023-04-10 | 2023-08-22 | 甘肃中电瓜州风力发电有限公司 | Settlement data analysis method and system based on electric power transaction platform |
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