CN110297829A - A kind of text searching method and system towards specific industry structuring business datum - Google Patents
A kind of text searching method and system towards specific industry structuring business datum Download PDFInfo
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- CN110297829A CN110297829A CN201910558557.XA CN201910558557A CN110297829A CN 110297829 A CN110297829 A CN 110297829A CN 201910558557 A CN201910558557 A CN 201910558557A CN 110297829 A CN110297829 A CN 110297829A
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Abstract
The invention discloses a kind of text searching method towards specific industry structuring business datum, which includes: to extract data into interim table from service database；The data extracted from the service database are converted；Inverted index is established for switched data；The text of input is subjected to full-text search.The present invention solves special number in service database, and the fields such as specialized vocabulary segment the problem of inaccuracy in full-text search, make full-text search that can also obtain ideal result in structuring business datum.The characteristics of based on inverted index, retrieval rate of the present invention are significantly faster than that the speed that structural data is inquired in a manner of SQL in relevant database.
Description
Technical field
The invention belongs to information retrieval fields, and in particular to a kind of to tie towards specific industry (such as public security, traffic, education)
The text searching method and system of structure business datum.
Background technique
With big data, the technologies such as artificial intelligence flourish and the reduction of carrying cost, people more pay close attention to pair
Promote production and development in the Collection utilization of data to open up new business scope.In face of huge data, how to be counted
According to retrieval, be a vital project.There are mainly two types of current existing retrieval modes, and one is be based on structuring number
According to the accurate inquiry carried out using SQL statement, another kind is based on the full-text search for establishing inverted index after text participle.Complete
Literary searching field, most representative tool is Elasticsearch and Solr.
When accurately being inquired using SQL, developer needs for each field configuration SQL statement and service logic,
User in use, needs the field for searching the accurate typing of data, Stepwise Screening, can just show needs as a result,
Such mode of operation is for user and unfriendly.The appearance of full-text search alleviates this problem, using segmenter by data
It splits, the word of fractionation is stored indexed by corresponding field, then the text of user's input is segmented, calculate and word
The relevance scores of section are presented according to score height as a result, such a mode greatly improves search efficiency.But full text is examined
Rope also has its pros and cons, and the accuracy of retrieval is largely dependent upon the quality of word segmentation result, to specific industry data into
When row retrieval, there are many fields that can not be segmented, such as the data of license plate, device id, phone number numbering type, state piece
The proprietary vocabulary such as act, industry slang.It in this case, to be that establish full-text search engine not only will be every to business datum
Table configures special dictionary, it is also necessary to as data variation constantly updates dictionary, bring inconvenience to the construction maintenance of system.
Summary of the invention
In view of the foregoing deficiencies of prior art, the present invention provides a kind of towards specific industry structuring business datum
Text searching method and system realize the key to the business datum of structuring under the premise of not needing to update dictionary for word segmentation
Full-text search can effectively promote the search efficiency of data.
In order to achieve the above objects and other related objects, the present invention provides one kind towards specific industry structuring business datum
Text searching method, which includes:
Data are extracted into interim table from service database；
The data extracted from the service database are converted；
Inverted index is established for switched data；
The text of input is subjected to full-text search.
Optionally, if the data extracted are OLAP data, by the way of increment extraction from the service database
Extract data；If the data extracted are OLTP data, number is extracted from the OLTP database by the way of full dose extraction
According to.
Optionally, if the data extracted are OLAP data, which further includes duplicate removal step, specifically: it deletes
Except the repeated data in the interim table.
Optionally, the text searching method further include:
The data of storage are synchronized in service database.
Optionally, described to establish inverted index for switched data, it specifically includes:
The field splicing for needing to retrieve is become into a big search field；
Word cutting is carried out to search field with segmenter and specified separator；
Establish corresponding index.
In order to achieve the above objects and other related objects, the present invention also provides one kind towards specific industry structuring business number
According to text retrieval system, which includes:
Data extraction module, for extracting data into interim table from database；
Data conversion module, for converting the data extracted from the database；
Index establishes module, for establishing inverted index for switched data；
Retrieval module, the text for that will input carry out full-text search.
Optionally, if the data that data extraction module extracts are OLAP data, from described by the way of increment extraction
Data are extracted in olap database；If the data that data extraction module extracts are OLTP data, by the way of full dose extraction
Data are extracted from the OLTP database.
Optionally, if the data that data extraction module extracts are OLAP data, which further includes duplicate removal
Module, for deleting the repeated data in the interim table.
Optionally, which further includes synchronization module, for the data of storage to be synchronized to olap database
In.
Optionally, the index establishes module and includes:
Splice submodule, the field splicing for that will need to retrieve becomes a big search field；
Word cutting submodule, for carrying out word cutting to search field with segmenter and specified separator；
Setting up submodule is indexed, for establishing corresponding index.
As described above, a kind of text searching method and system towards specific industry structuring business datum of the invention,
It has the advantages that
One, simplify user's operation.Compared to the mode for using SQL specific field to be inquired, this invention simplifies users
Operation, reduce the skill requirement to user, user only needs the input content in a search box that can be inquired
As a result.
Two, retrieval accuracy and efficiency is promoted.The present invention solves special number in service database, the words such as specialized vocabulary
Section segments the problem of inaccuracy in full-text search, makes full-text search that can also obtain ideal knot in structuring business datum
Fruit.The characteristics of based on inverted index, retrieval rate of the present invention are significantly faster than that structural data is in a manner of SQL in relevant database
The speed of inquiry.
Detailed description of the invention
Fig. 1 is a kind of stream of the text searching method towards specific industry structuring business datum in one embodiment of the invention
Cheng Tu；
Fig. 2 is the system framework that OLTP data establish index in one embodiment of the invention；
Fig. 3 is the system framework that OLAP data establishes index in one embodiment of the invention；
Fig. 4 is the flow chart of data deduplication in one embodiment of the invention；
Fig. 5 is the flow chart of data conversion in one embodiment of the invention；
Fig. 6 is the flow chart for indexing foundation in one embodiment of the invention in GPtext；
Fig. 7 is the schematic diagram retrieved in GPtext in one embodiment of the invention；
Fig. 8 is the data for establishing full-text search inverted index in one embodiment of the invention under greenplum+GPtext framework
Structural schematic diagram；
Fig. 9 is the index Mapping Examples of GPtext in one embodiment of the invention；
Figure 10 is that the effect of business datum full-text search in one embodiment of the invention is shown；
Figure 11 is a kind of text retrieval system towards specific industry structuring business datum in one embodiment of the invention
Block diagram；
Figure 12 is the block diagram that index establishes module in one embodiment of the invention.
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification
Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit of the invention.It should be noted that in the absence of conflict, following embodiment and implementation
Feature in example can be combined with each other.
It should be noted that illustrating the basic structure that only the invention is illustrated in a schematic way provided in following embodiment
Think, only shown in schema then with related component in the present invention rather than component count, shape and size when according to actual implementation
Draw, when actual implementation kenel, quantity and the ratio of each component can arbitrarily change for one kind, and its assembly layout kenel
It is likely more complexity.
As shown in Figure 1, a kind of text searching method towards specific industry structuring business datum, the text searching method
The following steps are included:
Step S11. extracts data into interim table from service database；
Step S12. converts the data extracted from the service database；
Step S13. is that switched data establish inverted index；
The text of input is carried out full-text search by step S14..
In an embodiment, if the data extracted are OLAP data, from the OLAP number by the way of increment extraction
According to extracting data in library；If the data extracted are OLTP data, by the way of full dose extraction from the OLTP database
Extract data.
In an embodiment, if the data extracted are OLAP data, which further includes duplicate removal step, tool
Body are as follows: delete the repeated data in the interim table.
In an embodiment, the text searching method further include:
The data of storage are synchronized in olap database.
It is described to establish inverted index for switched data in an embodiment, it specifically includes:
The field splicing for needing to retrieve is become a big search field by S131；By the step, reduce rope this
Complexity.
S132 carries out word cutting to search field with segmenter and specified separator；By the step, solves irrelevant word
Interference problem of the section to search result.
For example user thinks that retrieval includes the data of " in examination & approval " field, there is the result of field " in examination & approval " in the result of return
Front should be arranged, but if inside other incoherent fields including " examination & approval ", " in " etc. wordings, indexed with segmenter
When can also index for this data, this incoherent data can be made since what is matched often comes front.
Therefore, it uses and irrelevant field can solve to search result to search field progress word cutting with segmenter and specified separator
Interference problem.
It should be noted that specified separator can be ", " or " | " or space, the present embodiment is not limited in any way,
Optional sign is ok.
S133 establishes corresponding index.
It is situated between below and text searching method of the invention is further explained based on greenplum database and GPtext
It releases.
Wherein, GPtext is the full text inspection operated on greenplum cluster based on full-text search engine solr exploitation
Rope plug-in unit, the creation of index are submitted, and the operation such as inquiry is executed in SQL statement by the function that GPtext is provided.
Step S110, in general, the storage service and full article retrieval of data are separated, therefore are storage
Data establish full-text search before need the data for first synchronizing storage into full-text search engine.
Step S111 extracts data into the interim table of greenplum from service database.According to business datum classification
Different there are two types of different system frameworks, as shown in Figure 2 and Figure 3.Establish index in Fig. 2 is the OLTP number in OLTP database
According to the data handled in real time such as staff list, the needs such as stateful transaction.Because data constantly change, need this type number
Interim table is drawn into according to full dose.Establish index in Fig. 3 is the OLAP data in olap database, as personnel enter and leave history note
The data no longer changed after database are written in record, driving recording etc., and such data are that reference will count with an incremental Major key
According to increment synchronization to interim table.
To the data of increment extraction, since there are section retards for OLAP data, need to repeat when extracting to extract upper primary
Record point partial data forward, therefore be loaded onto the data of interim table there are redundancies, it is therefore desirable to the data of redundancy are gone
It handles again.As shown in figure 4, specific De-weight method are as follows:
Read record of the log sheet last time to storage table deposit data；
According to the major key of load data last in log read storage table；
Read interim table data；
Delete major key and the duplicate data of storage table major key in interim table.
Step S112, such as Fig. 5, read the data of interim table in batches, handle the interim table data of reading line by line, according to matching
Storage table is written in processed data by the strategy conversion set, data splitting, judge whether it is processed to interim table most end,
If then recording the maximum value and minimum value for this time handling data major key, i.e. the major key range of storage table data in log sheet.
At this point, index whether establish mark be set to it is no.If not handling interim table end, continue to read in batches in interim table
Data.
Step S113, such as Fig. 6 read log sheet discovery without establishing the data indexed, judge whether that index has been established.Such as
Fruit does not establish index, needs to establish manually, and Fig. 8 is the total signal of data to index.
Wherein, it indexes foundation specific step is as follows:
Judge whether configured index mapping, if the major key range for not setting up index in log sheet is then read, if otherwise
Configuration index mapping, reads the major key range that index is not set up in log sheet；
The data of storage table, filling index are read according to the major key range recorded in log sheet；
Submit index；
The Index Status of relative recording in log sheet is updated to have been filed on.
Wherein, process of the data to index are as follows:
The field that will be retrieved first merges into a biggish search field；
Secondly biggish search field is segmented in a manner of separator participle and segmenter participle；
Then corresponding field index and participle index are established.
Wherein, system symbol partitive indicates one kind of separator.
GPtext by gptext_config management index mapping, need to establish for search field two kinds of indexes (including
Field index and participle index), it is therefore desirable to a search field is replicated, index mapped file configuration is as shown in Figure 8.Index reflects
After penetrating foundation, call the filling of gptext.index () function without establishing the data indexed in SQL statement,
Gptext.commit_index () function submits index.By above step, index is had been established at this time, by rope in log sheet
The mark whether established drawn being updated to is.
Step S114, such as Fig. 7, due to also to carry out one to field when carrying out index in classification to text in specific industry
A little accurate lookups, therefore need to establish two secondary indexs as described in step before, it also therefore to execute and retrieve twice.
Specifically, executing retrieval twice includes:
Input retrieval content；
Retrieval content is passed in the index of text_sm type and is retrieved；
Retrieval content is passed in the index of text_intl type and is retrieved；
The comprehensive score descending arrangement retrieved twice；
The field stored in acquisition index, which is used as, to be returned the result.
In GPtext, the mode retrieved twice is as shown in Figure 10, meanwhile, Figure 10 also illustrates last accessed
Search result.
It should be noted that text searching method of the present invention is not limited solely to greenplum+ described in example
GPtext framework, other any kind of database+full-text search engines (such as: mysql+elasticsearch) are according to similar
Method and steps is able to achieve the one-touch search to structuring business datum, all should be in the protection model being defined in the patent claims
In enclosing.
As shown in figure 11, a kind of text retrieval system towards specific industry structuring business datum, the full-text search system
System includes:
Data extraction module 11, for extracting data into interim table from database；
Data conversion module 12, for converting the data extracted from the database；
Index establishes module 13, for establishing inverted index for switched data；
Retrieval module 14, the text for that will input carry out full-text search.
Full-text search is carried out in a certain way when inputting text, can specifically be referred to by specified separator progress
Retrieval.For example, just inputting " great favor temple white " when if it is that retrieval of space；If comma, retrieval just input " great favor temple, it is white
Color "
In an embodiment, if the data that data extraction module extracts are OLAP data, by the way of increment extraction
Data are extracted from the olap database；If the data that data extraction module extracts are OLTP data, extracted using full dose
Mode extract data from the OLTP database.
In an embodiment, since there are section retards for OLAP data, need to repeat to extract upper primary record when extracting
Point partial data forward, therefore be loaded onto the data of interim table there are redundancies, it is therefore desirable to the data of redundancy are carried out at duplicate removal
Reason.Then the text retrieval system further includes deduplication module, for deleting the repeated data in the interim table.
In general, the storage service of data and full article retrieval are separated, therefore the data for storage are built
Need the data for first synchronizing storage into full-text search engine before vertical full-text search.In an embodiment, the text retrieval system
It further include synchronization module 15, for the data of storage to be synchronized in olap database.
In an embodiment, the index establishes module 13 and includes:
Splice submodule 131, the field splicing for that will need to retrieve becomes a big search field；
Word cutting submodule 132, for carrying out word cutting to search field with segmenter and specified separator；
Setting up submodule 133 is indexed, for establishing corresponding index.
It should be noted that the embodiment due to components of system as directed is corresponded to each other with the embodiment of method part, system
The content of partial embodiment refers to the description of the embodiment of method part, wouldn't repeat here.
The present invention solves special number in service database, and the fields such as specialized vocabulary segment inaccuracy in full-text search
The problem of, make full-text search that can also obtain ideal result in structuring business datum.
Such as Chinese word segmentation machine can only segment conventional word in participle, and such as: " in audit " is possible will
Participle is " audit ", " in ".License plate, these segmenter of technical term are not divided, consequence be exactly in full-text search retrieval less than
License plate, technical term." Chongqing A12345 Central Park bayonet " such data, in addition to dividing by segmenter participle, then by space
Word is primary, can give " Chongqing A12345 " and " Central Park bayonet " sets up index.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (10)
1. a kind of text searching method towards specific industry structuring business datum, which is characterized in that the text searching method
Include:
Data are extracted into interim table from database；
The data extracted from the database are converted；
Inverted index is established for switched data；
The text of input is subjected to full-text search.
2. a kind of text searching method towards specific industry structuring business datum according to claim 1, feature
It is, if the data extracted are OLAP data, extracts data from the olap database by the way of increment extraction；If
The data of extraction are OLTP data, then extract data from the OLTP database by the way of full dose extraction.
3. a kind of text searching method towards specific industry structuring business datum according to claim 2, feature
It is, if the data extracted are OLAP data, which further includes duplicate removal step, specifically: it deletes described interim
Repeated data in table.
4. a kind of text searching method towards specific industry structuring business datum according to claim 1, feature
It is, the text searching method further include:
The data of storage are synchronized in service database.
5. a kind of text searching method towards specific industry structuring business datum according to claim 1, feature
It is, it is described to establish inverted index for switched data, it specifically includes:
The field splicing for needing to retrieve is become into a big search field；
Word cutting is carried out to search field with segmenter and specified separator；
Establish corresponding index.
6. a kind of text retrieval system towards specific industry structuring business datum, which is characterized in that the text retrieval system
Include:
Data extraction module, for extracting data into interim table from database；
Data conversion module, for converting the data extracted from the database；
Index establishes module, for establishing inverted index for switched data；
Retrieval module, the text for that will input carry out full-text search.
7. a kind of text retrieval system towards specific industry structuring business datum according to claim 1, feature
It is, if the data extracted are OLAP data, extracts data from the olap database by the way of increment extraction；If
The data of extraction are OLTP data, then extract data from the OLTP database by the way of full dose extraction.
8. a kind of text retrieval system towards specific industry structuring business datum according to claim 2, feature
It is, if the data that data extraction module extracts are OLAP data, which further includes deduplication module, for deleting
Except the repeated data in the interim table.
9. a kind of text retrieval system towards specific industry structuring business datum according to claim 1, feature
It is, which further includes synchronization module, for the data of storage to be synchronized in service database.
10. a kind of text retrieval system towards specific industry structuring business datum according to claim 1, feature
It is, the index establishes module and includes:
Splice submodule, the field splicing for that will need to retrieve becomes a big search field；
Word cutting submodule, for carrying out word cutting to search field with segmenter and specified separator；
Setting up submodule is indexed, for establishing corresponding index.
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Application publication date: 20191001 |