CN104346331A - Retrieval method and system for XML database - Google Patents
Retrieval method and system for XML database Download PDFInfo
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- CN104346331A CN104346331A CN201310311497.4A CN201310311497A CN104346331A CN 104346331 A CN104346331 A CN 104346331A CN 201310311497 A CN201310311497 A CN 201310311497A CN 104346331 A CN104346331 A CN 104346331A
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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
- G06F16/80—Information retrieval; Database structures therefor; File system structures therefor of semi-structured data, e.g. markup language structured data such as SGML, XML or HTML
- G06F16/83—Querying
Abstract
The invention provides a retrieval method and system for an XML database. The method includes the steps of establishing a full-text index table in the XML database, wherein keywords serve as key values of the full-text index table, and data line position identification TID serves as pointers of the key values and points at node data lines, containing the keywords, in a node table of the XML database; sequentially matching the keywords in the query conditions input by a user with the full-text index table to obtain a plurality of TID sets when full-text retrieval is conducted on the XML database; conducting logic operation on the TID sets according to the logic relations, in the query conditions, of the keywords so as to obtain TID sets which conform to the full-text retrieval conditions; outputting the data lines corresponding to the TID sets conforming to the full-text retrieval conditions. By means of the retrieval method and system, the full-text retrieval can be conducted on the XML database, and the retrieval efficiency can be improved.
Description
Technical field
The present invention relates to database technical field, in particular to a kind of search method and system of XML data storehouse.
Background technology
XML data base management system (XMLDBMS) is a kind of novel data base management system (DBMS) (DBMS) fast-developing in recent years, and it stores and the data of retrieval are XML document, and can upgrade XML document.Due to store and retrieval be XML document, so XMLDBMS is usually used as document database, therefore full-text search is exactly the function of one of XMLDBMS unusual core.
The retrieval of XML data and more newspeak are XQuery and the XQuery Update of the standard formulated by W3C.W3C has formulated XQuery Fulltext standard simultaneously, as the full-text search language of the standard of XMLDBMS.XQuery series language is based on sequence data model (XDM), and namely in XQuery, arbitrary data is all a sequence, and sequence is by several orderly item design; A project is a value of atom or an XDM node, and an XDM node is one of 7 kinds of nodes of XML document.Based on such data model, the most natural and efficient XML data storage scheme is stored as node XML document exactly.
In XMLDBMS, the entity of storing X ML document is called container, the data content of any number of XML document is stored in a container, and this container is supported by several tables of data, store data and the structural information of the various aspects of these XML document respectively, comprise node data, relationships between nodes, path data, various index, various statistical informations etc.The unit that tables of data stores is data line, containing several data lines in a tables of data, and can by index fast finding to specific data line.
XML document content is stored in a node table as node data, in 7 kinds of nodes of XDM, attribute node, name space node, text node, comment nodes and processing instruction node are all left in their father node (necessarily node element), therefore storage element node and document node in node table.Document node stores the metadata information of an XML document, and the content of document is then stored in all elements node of this document.
Because the data volume in XML data storehouse is very huge, an efficient text searching method is therefore needed to carry out full-text search to XML data storehouse.
Summary of the invention
The embodiment of the present invention provides a kind of search method and system of XML data storehouse, to realize the full-text search to XML data storehouse, improves recall precision.
For this reason, the embodiment of the present invention provides following technical scheme:
The search method in XML data storehouse, comprising:
In XML data storehouse, create full-text index table, described full-text index table uses keyword as key assignments, and described key assignments is using data line station location marker TID as pointer, and the node data containing described keyword pointed in the node table in described XML data storehouse is capable;
When carrying out full-text search to described XML data storehouse, the keyword in the querying condition input user mates described full-text index table successively, obtains multiple TID and gathers;
According to the logical relation of described keyword in querying condition, logical operation is carried out to described multiple TID set, obtain the TID set meeting full-text search condition;
The data line that the TID set of full-text search condition is corresponding is met described in output.
Preferably, described TID set stores in the mode of bitmap.
Preferably, in described XML data storehouse, create full-text index table to comprise:
The text node participle of the XML document that will store, obtains the set of described keyword;
Described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table capable.
Preferably, in described XML data storehouse, create full-text index table also to comprise:
Described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table capable before, utilize the stop words metadata table in described XML data storehouse to filter described set.
Preferably, described method also comprises:
Participle is carried out to described querying condition, obtains word segmentation result;
Keyword is extracted from described word segmentation result.
Preferably, describedly from described word segmentation result, extract keyword comprise:
The stop words metadata table of word in described word segmentation result in described XML data storehouse is filtered;
To the word segmentation result after filtration, utilize the lexical relation metadata table in described XML data storehouse to develop the relative of the keyword in described word segmentation result, and/or utilize the root metadata table in described XML data storehouse to develop the word of the same root of the keyword in described word segmentation result.
The searching system in XML data storehouse, comprising:
Index table creation module, for creating full-text index table in XML data storehouse, described full-text index table uses keyword as key assignments, and described key assignments is using data line station location marker TID as pointer, and the node data containing described keyword pointed in the node table in described XML data storehouse is capable;
Matching module, for when carrying out full-text search to described XML data storehouse, the keyword in the querying condition input user mates described full-text index table successively, obtains multiple TID and gathers;
Logical operation module, for carrying out logical operation according to the logical relation of described keyword in querying condition to described multiple TID set, obtains the TID set meeting full-text search condition;
Result for retrieval output module, the data line that the TID set for meeting full-text search condition described in exporting is corresponding.
Preferably, index table creation module comprises:
Participle unit, for the text node participle of XML document that will store, obtains the set of described keyword;
Plug-in unit is capable for described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table.
Preferably, described index table creation module also comprises:
Filter element, for described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table capable before, utilize the stop words metadata table in described XML data storehouse to filter described set.
Preferably, described system also comprises:
Querying condition decomposing module, for carrying out participle to described querying condition, obtains word segmentation result;
Keyword extracting module, for extracting keyword from described word segmentation result.
Preferably, described keyword extracting module, specifically for filtering the stop words metadata table of the word in described word segmentation result in described XML data storehouse; To the word segmentation result after filtration, utilize the lexical relation metadata table in described XML data storehouse to develop the relative of the keyword in described word segmentation result, and/or utilize the root metadata table in described XML data storehouse to develop the word of the same root of the keyword in described word segmentation result.
The search method in the XML data storehouse that the embodiment of the present invention provides and system, create full-text index table in described XML data storehouse, and full-text index table uses keyword as key assignments, and the node data containing this keyword pointed in node table is capable.Use this text index, Keywords matching test can be completed rapidly, thus show that rapidly the node data meeting full-text search condition is capable, realize efficient full-text search.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the search method in embodiment of the present invention XML data storehouse;
Fig. 2 is a kind of structural representation of the searching system in embodiment of the present invention XML data storehouse;
Fig. 3 is the another kind of structural representation of the searching system in embodiment of the present invention XML data storehouse.
Embodiment
Below with reference to the accompanying drawings and in conjunction with the embodiments, describe the present invention in detail.
When a storage XML document, document is sent into SAX(Simple API for XML by the query engine of XMLDBMS) in the XML document resolver of pattern, XML document data are informed to the enforcement engine of XMLDBMS by this resolver as event.Text node in XML document data is sent in segmenter by enforcement engine, and what obtain is exactly the set of a keyword.These keywords are inserted in full-text index that to point to this node data capable.
SAX be one for the treatment of XML event driven " pushing away " model, SAX resolver read document time activate sequence of events, these events are pushed away to event handler, then provide the access method to document content by event handler.
The inactive vocabulary SW of XMLDBMS system definition one acquiescence, in the word that segmenter produces in SW, be not inserted in full-text index table.Full-text search character string (FTS) in full-text search query statement also uses this inactive vocabulary to filter, and after filtering, residue word re-uses full-text index table to inquire about.If FTS is empty set after being filtered by SW by the set of letters after participle, so do not re-use full-text index table but direct scan node table.The inactive vocabulary using this to give tacit consent to can prevent full-text index table by the word commonly used very much, in such as English " a, an; the; in, on, to " etc. and Chinese in auxiliary words of mood etc. sharply expand and affect search efficiency----those words probably exist in each text node.This inactive vocabulary can be revised by user and customize, and such user can adjust flexibly according to the application demand of oneself.
Based on the These characteristics in XML data storehouse, the present invention proposes a kind of text index technology realizing efficient full-text search.Use this text index, Keywords matching test can be completed rapidly, thus show that rapidly the node data meeting full-text search condition is capable.This text index is that node table is set up, and is the index of node table, for convenience of description, this text index table is called full-text index table.
As shown in Figure 1, be the process flow diagram of the search method in embodiment of the present invention XML data storehouse, comprise the following steps:
Step 101, full-text index table is created in XML data storehouse, described full-text index table uses keyword as key assignments, and described key assignments is using data line station location marker TID as pointer, and the node data containing described keyword pointed in the node table in described XML data storehouse is capable.
Full-text index table uses keyword as key assignments, and the node data containing this keyword pointed in node table is capable.Because any one word all probably occurs in multiple node, so full-text index table allows duplicate key value, such as " China " this word is that the index of key assignments has a lot of bar, and the multiple node datas pointed in node table are respectively capable; Conversely any one node data capable also usually have the capable sensing of multiple full-text index it because wherein there is multiple keyword.
The same with any other index, " pointer " that the full-text index table in the embodiment of the present invention points to node table is called data line mark (TID), and it contains the address of node table data line, uses it can obtain data line corresponding in node table.When carrying out full-text search, keyword in user's querying condition is collected, then full-text index table is searched successively, obtain the bitmap that several TID are formed, then according to the logical relation of these keywords in querying condition, these bitmaps are carried out and/or/not operation, finally can be met the TID set of whole full-text search conditions, thus be drawn Query Result.Such as search simultaneously containing " apple " and " ipad " and node, the former obtains TID bitmap be " 000100110100 " the latter be the TID bitmap obtained is " 010100010010 ", these two bitmaps are done and operation, finally obtaining result is " 000100010000 ", see that the 4th and the 8th is 1 from this bitmap, thus can learn TID be 4 and 8 two row are net results.
Step 102, when carrying out full-text search to described XML data storehouse, the keyword in the querying condition input user mates described full-text index table successively, obtains multiple TID and gathers.
Step 103, carries out logical operation according to the logical relation of described keyword in querying condition to described multiple TID set, obtains the TID set meeting full-text search condition;
Step 104, meets the data line that the TID set of full-text search condition is corresponding described in output.
First, when an establishment container, the concordance list of a full-text index table as the node table of this container is created.When a storage XML document, XML document is sent into the XML parser of the SAX pattern of enforcement engine by the query engine of XMLDBMS, and this resolver can allow enforcement engine obtain the node data of XML document with the form of event notice.
In the node element End Event process function belonging to text node, enforcement engine storage element node data is to node table, then the machine-processed call back function (be abbreviated as FF, the call back function of FF representative is for generation of concordance list key assignments) that can call full-text index table of the index maintenance of storage engines creates concordance list key assignments.The character string of all text child nodes of this node element is sent into segmenter by call back function FF successively, and segmenter is that each character string returns several words, and all these words form a S set 0.S0 is filtered by the inactive vocabulary given tacit consent to and obtains final effective set of letters S.Word in S is all returned to the index construct logic of storage engines by FF.Then all these key assignments can all be inserted in full-text index table by index construct logic, and it is capable that they point to same node data.
When a node data content is updated, does not remove those and originally pointed to the capable full-text index of this node data.Like this when obtaining a node, also needing to do participle to its text node data further, and searching target word.Nonetheless, employ full-text index and still can accelerate full-text search, because can avoid searching target word from a large amount of node of the node table of a container.
After querying condition character string being done the participle inactive vocabulary filtration that also use is given tacit consent to when doing XQuery inquiry, obtain looking up words S set S.The TID set that full-text index table obtains several correspondences is inquired about successively with the word in S set S.According to the difference of querying condition, the logical relation between the word in SS is exactly the operation relation between these TID gather.Final TID set is obtained to these bitmap actuating logic computings.
Such as, SS={ " English ", " teacher " }, the relation between these two words be with, namely to inquire about the XML node element simultaneously containing " English " and " teacher " two words.Full-text index table inquired about respectively in use " English " and " teacher " two word, obtains two TID and gather TIDSet1 and TIDSet2.TID set stores in the mode of bitmap, and bitmap can do logical bit computing easily, i.e. AOI computing.So do step-by-step and operation to TIDSet1 and TIDSet2, this two intersection of sets collection can be drawn, the set TIDSet0 of the TID namely simultaneously containing these two words.Containing net result in TIDSet0, therefrom take out each TID and from node table, obtain node data with this TID capable, just have found the data meeting full-text search condition.
The search method in the XML data storehouse of the embodiment of the present invention goes for the inquiry mode of XQuery Fulltext and the current working method of this XMLDBMS, can realize full-text search function efficiently.Particularly when storing magnanimity XML data, and when full-text search condition has a large amount of logical operation to combine, use the advantage of this index scheme closer to obviously.
Correspondingly, the embodiment of the present invention also provides a kind of searching system of XML data storehouse, as shown in Figure 2, is a kind of structural representation of this system.
In this embodiment, described system comprises:
Index table creation module 201, for creating full-text index table in described XML data storehouse, described full-text index table uses keyword as key assignments, described key assignments is using data line station location marker TID as pointer, and the node data containing described keyword pointed in the node table in described XML data storehouse is capable;
Matching module 202, for when carrying out full-text search to described XML data storehouse, the keyword in the querying condition input user mates described full-text index table successively, obtains multiple TID and gathers;
Logical operation module 203, for carrying out logical operation according to the logical relation of described keyword in querying condition to described multiple TID set, obtains the TID set meeting full-text search condition;
Result for retrieval output module 204, the data line that the TID set for meeting full-text search condition described in exporting is corresponding.
In embodiments of the present invention, index table creation module comprises: participle unit and plug-in unit (not shown).Wherein:
Described participle unit, for the text node participle of XML document that will store, obtains the set of described keyword;
Described plug-in unit is capable for described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table.
Described index table creation module also can comprise: filter element (not shown), for described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table capable before, utilize the stop words metadata table in described XML data storehouse to filter described set.
As shown in Figure 3, be another structural representation of searching system in embodiment of the present invention XML data storehouse.
With embodiment illustrated in fig. 2 unlike, in this embodiment, described system also comprises:
Querying condition decomposing module 301, for carrying out participle to described querying condition, obtains word segmentation result;
Keyword extracting module 302, for extracting keyword from described word segmentation result.
In actual applications, above-mentioned keyword extracting module 302 specifically can be filtered the stop words metadata table of the word in described word segmentation result in described XML data storehouse; To the word segmentation result after filtration, utilize the lexical relation metadata table in described XML data storehouse to develop the relative of the keyword in described word segmentation result, and/or utilize the root metadata table in described XML data storehouse to develop the word of the same root of the keyword in described word segmentation result.
The searching system in the XML data storehouse of the embodiment of the present invention goes for the inquiry mode of XQuery Fulltext and the current working method of this XMLDBMS, can realize full-text search function efficiently.Particularly when storing magnanimity XML data, and when full-text search condition has a large amount of logical operation to combine, use the advantage of this index scheme closer to obviously.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for system embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, relevant part illustrates see the part of embodiment of the method.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus, they can be stored and be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (11)
1. the search method in XML data storehouse, is characterized in that, comprising:
In XML data storehouse, create full-text index table, described full-text index table uses keyword as key assignments, and described key assignments is using data line station location marker TID as pointer, and the node data containing described keyword pointed in the node table in described XML data storehouse is capable;
When carrying out full-text search to described XML data storehouse, the keyword in the querying condition input user mates described full-text index table successively, obtains multiple TID and gathers;
According to the logical relation of described keyword in querying condition, logical operation is carried out to described multiple TID set, obtain the TID set meeting full-text search condition;
The data line that the TID set of full-text search condition is corresponding is met described in output.
2. method according to claim 1, is characterized in that, described TID set stores in the mode of bitmap.
3. method according to claim 1, is characterized in that, creates full-text index table and comprise in described XML data storehouse:
The text node participle of the XML document that will store, obtains the set of described keyword;
Described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table capable.
4. method according to claim 3, is characterized in that, creates full-text index table and also comprise in described XML data storehouse:
Described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table capable before, utilize the stop words metadata table in described XML data storehouse to filter described set.
5. method according to claim 1, is characterized in that, described method also comprises:
Participle is carried out to described querying condition, obtains word segmentation result;
Keyword is extracted from described word segmentation result.
6. method according to claim 5, is characterized in that, describedly from described word segmentation result, extracts keyword comprise:
The stop words metadata table of word in described word segmentation result in described XML data storehouse is filtered;
To the word segmentation result after filtration, utilize the lexical relation metadata table in described XML data storehouse to develop the relative of the keyword in described word segmentation result, and/or utilize the root metadata table in described XML data storehouse to develop the word of the same root of the keyword in described word segmentation result.
7. the searching system in XML data storehouse, is characterized in that, comprising:
Index table creation module, for creating full-text index table in XML data storehouse, described full-text index table uses keyword as key assignments, and described key assignments is using data line station location marker TID as pointer, and the node data containing described keyword pointed in the node table in described XML data storehouse is capable;
Matching module, for when carrying out full-text search to described XML data storehouse, the keyword in the querying condition input user mates described full-text index table successively, obtains multiple TID and gathers;
Logical operation module, for carrying out logical operation according to the logical relation of described keyword in querying condition to described multiple TID set, obtains the TID set meeting full-text search condition;
Result for retrieval output module, the data line that the TID set for meeting full-text search condition described in exporting is corresponding.
8. system according to claim 7, is characterized in that, index table creation module comprises:
Participle unit, for the text node participle of XML document that will store, obtains the set of described keyword;
Plug-in unit is capable for described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table.
9. system according to claim 8, is characterized in that, described index table creation module also comprises:
Filter element, for described keyword is inserted into as new index the node data pointing to described XML document in described full-text index table capable before, utilize the stop words metadata table in described XML data storehouse to filter described set.
10. system according to claim 7, is characterized in that, described system also comprises:
Querying condition decomposing module, for carrying out participle to described querying condition, obtains word segmentation result;
Keyword extracting module, for extracting keyword from described word segmentation result.
11. systems according to claim 10, is characterized in that,
Described keyword extracting module, specifically for filtering the stop words metadata table of the word in described word segmentation result in described XML data storehouse; To the word segmentation result after filtration, utilize the lexical relation metadata table in described XML data storehouse to develop the relative of the keyword in described word segmentation result, and/or utilize the root metadata table in described XML data storehouse to develop the word of the same root of the keyword in described word segmentation result.
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| CN111223533A (en) * | 2019-12-24 | 2020-06-02 | 深圳市联影医疗数据服务有限公司 | Medical data retrieval method and system |
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Application publication date: 20150211 |