CN106598990A - Search method and system - Google Patents
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- CN106598990A CN106598990A CN201510675267.5A CN201510675267A CN106598990A CN 106598990 A CN106598990 A CN 106598990A CN 201510675267 A CN201510675267 A CN 201510675267A CN 106598990 A CN106598990 A CN 106598990A
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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
- G06F16/23—Updating
- G06F16/2379—Updates performed during online database operations; commit processing
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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 provides a search method. The method comprises the following steps of: S1: carrying out off-line index generation by a Master subsystem, and deploying indexes generated offline into a Slave subsystem, wherein the indexes generated offline comprise a full-quantity index and an incremental index; and S2: providing search service for outside by the Slave subsystem according to the indexes generated offline. The invention also provides a search system. When the search method and system is implemented, the Master subsystem adopts offline index generation, and the complexity of implementation and the influence of index generation and switching on on-line services are lowered. Meanwhile, the offline index generation adopts a way of combining full-quantity index generation with incremental index generation so as to achieve a good index update effect. On one hand, the pressure of the computing resource, the network resource, the storage resource and the like of the Master subsystem is lowered, and on the other hand, a calculation quantity generated when a result retrieved by the combination of the incremental indexes is adopted is lowered, and an effect of the quasi real-time update of incremental data is realized.
Description
Technical field
The present invention relates to database technical field, more particularly, it relates to a kind of searching method and system.
Background technology
In search system, index and provide data basis for quick search service can be carried out, and index more
It is newly the key technology in search system.Conventional index upgrade at present mainly includes two ways, wherein,
A kind of mode is full dose index upgrade under line, i.e., when updating the data every time, it is online under full dose again is generated
Index, the index being currently in use on line is replaced with new index, and this mode realizes that simply reliability is higher,
And due to being that index is generated under line, index generating process does not have any impact on the search service on line, but
It is that index will be all regenerated when updating the data every time, indexes because first full dose is generated, is being deployed to line
On system, cause certain pressure to computing resource, Internet resources and storage resource;In the number for updating
During according to measuring big, the index generation time may be longer, and the switching lamp for indexing also can accordingly become abnormal tired
Difficulty, and then be difficult to reach the ageing of interactive data renewal.Another way is the renewal of online real time indexing,
When updating the data, program to being currently in use on line in index carry out real-time update, be to widely use at present
Mode, more new effects quasi real time can be reached to data, be generally used for updating data is ageing
Higher scene is required, but when real time indexing updates, modification, the merging etc. due to realize data,
And realize the concordance of data so that realize relative complex;Simultaneously as needing directly modification
The index file of renewal, just inevitably needs to be written and read index file control, and then can be on line
The service of well afoot affects.
From the poor in timeliness of full dose index upgrade under ageing angle, above-mentioned line, and online real time indexing is more
New ageing height, can typically reach the other effect of Millisecond, and near real-time updates.But in practical application
In, many application scenarios and ageing, such as some vertical search engines that need not be too high, it completely may be used
To tolerate minute granularity, or even the data of hour granularity more new effects.
The content of the invention
The technical problem to be solved in the present invention is, for the deficiency of the index upgrade in existing search system,
A kind of searching method and system are provided.
Technical proposal that the invention solves the above-mentioned problems there is provided a kind of searching method, and the method includes following
Step:
S1, enter under line to generate index by Master subsystems, and described in the index generated under line is deployed to
In Slave subsystems, wherein, the index generated under the line includes that full dose is indexed and increment index;
S2, by the Slave subsystems according under the line generate index search service is externally provided.
In above-mentioned searching method, step S1 is specifically included:
S11, full dose described in all data genarations one is indexed according to predetermined period, wherein, the default week
Phase is one day;
The frequency that S12, incrementally data occur is to indexing institute in the Preset Time after generating from the full dose
The first incremental data for producing generates the increment index, wherein, the increment index include newly-increased index,
Update index and delete index.
In above-mentioned searching method, in step S12, the increment rope is generated to the first incremental data
Draw step to specifically include:
S121, by first incremental data classification, respectively increase newly data, update the data and delete data;
S122, respectively to the newly-increased data, it is described update the data and it is described deletion data creation described in increase newly
Index, described renewal index and the deletion index.
In above-mentioned searching method, also included before step S12:
S12 ', index produced the second increment in the Preset Time after generating from the full dose to all of
Data merge computing, obtain first incremental data.
In above-mentioned searching method, step S2 is specifically included:
S21, basis are entered by the set that full dose index, the newly-increased index and the renewal index are constituted
Row merges retrieval and obtains an amalgamation result collection, and is indexed into line retrieval according to the deletion and obtain a deletion result
Collection;
S22, according to record order traversal described in amalgamation result collection, and by the amalgamation result concentrate repeat
The record deletion of appearance, obtains a result set to be output;
The major key of the record in result set to be output described in S23, comparison and the deletion result set, and delete
Recording with the major key identical for deleting the record in result set in the result set to be output, obtains one
Search result set.
Present invention also offers a kind of search system, the search system includes a Master subsystems and at least
Individual Slave subsystems, wherein:
The Master subsystems enter under line to generate index, and the index generated under line are deployed to described
In Slave subsystems, wherein, the index generated under the line includes that full dose is indexed and increment index;
The Slave subsystems externally provide search service according to the index generated under the line.
In above-mentioned search system, the Master subsystems include that full dose indexes generation module and increment index
Generation module, wherein:
The full dose index generation module is indexed according to predetermined period to full dose described in all data genarations one, its
In, the predetermined period is one day;
The increment index generation module frequency that incrementally data occur from full dose index to generating
The first incremental data produced in Preset Time afterwards generates the increment index, wherein, the increment rope
Draw including newly-increased index, update index and deletion index.
In above-mentioned search system, the increment index generation module generates the increment to the first incremental data
Index step is specifically included:
By first incremental data classification, respectively increase data newly, update the data and delete data;
Respectively to the newly-increased data, it is described update the data and it is described deletion data creation described in increase newly index,
It is described to update index and the deletion index.
In above-mentioned search system, the Master subsystems also include merging module, wherein:
The merging module is indexed produced the in the Preset Time after generating to all of from the full dose
Two incremental datas merge computing, obtain first incremental data.
In above-mentioned search system, the Slave subsystems include retrieval module, re-scheduling module and filter module
Block, wherein:
The retrieval module indexes what is constituted according to by full dose index, the newly-increased index and described renewal
Set merges retrieval and obtains an amalgamation result collection, and is indexed according to the deletion and obtain one into line retrieval and delete
Division result collection;
Re-scheduling module amalgamation result collection according to the order traversal of record, and by the amalgamation result collection
In the record deletion that repeats, obtain a result set to be output;
The major key of the record in the filtering module result set to be output and the deletion result set,
And delete in the result set to be output with it is described deletion result set in record major key identical record,
Obtain a search result set.
Implement the searching method and system of the present invention, have the advantages that:First, adopt
The framework of Master-Slave, Slave subsystems can be distributed using many examples, needed for meet supporting business
High concurrent amount;Secondly, Master subsystems reduce the complexity of realization using index is generated under line,
Meanwhile, index is generated under line by the way of generation full dose index and increment index combine, wherein, according to
Predetermined period generates full dose index, and according to the frequency that incremental data occurs increment index is generated, and reaches full dose
Balance between the number of times and the scale of increment index of index generation, and then preferable index upgrade effect can be reached
Really, the pressure of computing resource, Internet resources and the storage resource of Master subsystems etc. is on the one hand reduced,
On the other hand, the amount of calculation during result being retrieved using merging increment index is reduced.In addition, by
Index is generated under using line, index is reduced and is generated and switch the impact to business on line.Finally, searching
Suo Shi, by the merging of increment index, reaches the effect of data increment operation, realizes incremental data accurate real
The effect of Shi Gengxin.
Description of the drawings
Fig. 1 is the structural representation of the search system embodiment of the present invention.
Fig. 2 is the specific structural representation of the search system embodiment of the present invention.
Fig. 3 is the schematic diagram that index generates sequential.
Fig. 4 is the flow chart of the searching method embodiment of the present invention.
Fig. 5 is the specific flow chart of the searching method embodiment of the present invention.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, below in conjunction with accompanying drawing and reality
Example is applied, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only
To explain the present invention, it is not intended to limit the present invention.
As shown in figure 1, being the structural representation of the search system embodiment of the present invention, the search system is adopted
The framework of Master-Slave, the Master-Slave frameworks are the one of which of MySQL frameworks, and its data is same
Step is fast.The search system includes Master subsystems 10 and Slave subsystems 20, wherein, Master subsystems
10 enter under line to generate index, and the index generated under its center line includes that full dose is indexed and increment index, and by line
The index of lower generation is deployed in Slave subsystems 20;Slave subsystems 20 are right according to the index generated under line
Outer offer search service.
In another embodiment of the invention, for the high concurrent amount demand needed for supporting business, Slave is sub
System 20 can be so that by the way of many example distributed deployments, i.e., search system includes multiple Slave subsystems
20, every Slave subsystems 20 are connected with Master subsystems 10.Master subsystems 10 are by after generation
Index is deployed in Slave subsystems 20, in the case where data scale is little, can adopt hard copy
Mode is deployed to index in Slave subsystems, it is also possible to carry out distributed deployment by network store system.
In an embodiment of the present invention, as shown in Fig. 2 Master subsystems 10 include that full dose index generates mould
Block 101 and increment index generation module 102, wherein, full dose indexes generation module 101 according to predetermined period pair
The one full dose index of all data genarations, wherein, predetermined period is one day;Increment index generation module 102
The frequency that incrementally data occur is indexed produced the in the Preset Time after generating to self-generating full dose
One incremental data generates increment index, wherein, increment index includes newly-increased index, updates index and deletes rope
Draw.Generation module 101 is indexed by full dose and increment index generation module 102 generates respectively full dose index and increasing
Amount index, i.e., the mode that full dose index and increment index combine, and then preferable index upgrade is reached, with
The passage of time, full dose index and increment index define an index and generate sequential, as shown in figure 3, being
Index generates the schematic diagram of sequential.It is new when full dose index and increment index is generated every time with reference to Fig. 3
Full dose indexes old full dose index and the whole old increment indexes that replaceable last time generates, new increment rope
Draw replaceable old increment index, that is, complete an index upgrade.Meanwhile, full dose index generation number of times with
The scale of increment index is relevant, and full dose index generation number of times is more frequent, and the scale of increment index is less.At this
In embodiment, due to generating full dose index according to predetermined period, and the frequency occurred according to incremental data is generated
Increment index, the number of times on the one hand avoiding full dose index generation is excessively frequent, and then it is sub to reduce Master
The pressure of the computing resource of system, Internet resources and storage resource etc., on the other hand, reduces increment index
Scale, and then reduce the follow-up amount of calculation using when merging result that increment index is retrieved.
In an embodiment of the present invention, when search system is run, it usually needs incremental data is increased newly
Operation, renewal operation and deletion action, in order to reach the effects of this three kinds operations, increment index generation module
102 pairs of the first incremental datas generate increment index and specifically include:
First incremental data is divided into newly-increased data, updates the data and delete data;
Respectively to increasing data newly, updating the data and delete the newly-increased index of data creation, update index and deletion rope
Draw.
In an embodiment of the present invention, Master subsystems 10 also include merging module 103, the merging module
The second produced incremental data is merged in Preset Time after 103 pairs of all of index generations from full dose
Computing, obtains indexing the first incremental data produced in the Preset Time after generating from full dose.So can be with
The effect for reach like clockwork and newly-increased operation is carried out to incremental data, updating operation and deletion action.
In an embodiment of the present invention, as shown in Fig. 2 Slave subsystems 20 include retrieval module 201, row
Molality block 202 and filtering module 203, wherein, retrieval module 201 is complete according to what is disposed by Master subsystems
The set that amount index, newly-increased index and renewal index are constituted merges retrieval and obtains amalgamation result collection, and root
The deletion disposed according to Master subsystems indexes into line retrieval and obtains deleting result set, wherein, amalgamation result collection
In record be ranked up according to the renewal time, due to according to newly-increased index, update index and full dose index into
Row merges retrieval, and the newly-increased record for operating and updating operation is just directly retrieved amalgamation result concentration;Investigation
The amalgamation result is concentrated what is repeated by module 202 according to the order traversal of the record amalgamation result collection
Record deletion, obtains result set to be output, and the major key of the record for repeating is identical, due to updating operation
Record can cause amalgamation result to concentrate the multiple versions for being likely to occur same record, meanwhile, amalgamation result is concentrated
Record be ranked up according to the renewal time, therefore, delete when investigating to multiple versions of same record
Renewal time larger record;Filtering module 203 compares result set to be output and deletes the record in result set
Major key, and delete in result set to be output with delete result set in record major key identical record,
Obtain search result set.In search, the merging that Slave subsystems 20 pass through increment index reaches data
The effect of autoincrementing operation, realizes the effect that incremental data quasi real time updates.
The search system of the embodiment of the present invention, using the framework of Master-Slave, Master subsystems adopt line
It is lower generate index, reduce the complexity of realization, meanwhile, under line generate index using generate full dose index and
The mode that increment index combines, wherein, full dose index is generated according to predetermined period, gone out according to incremental data
Existing frequency generates increment index, reaches between the number of times and the scale of increment index of full dose index generation
Balance, and then preferable index upgrade effect can be reached, on the one hand reduce the calculating money of Master subsystems
The pressure of source, Internet resources and storage resource etc., on the other hand, is reduced and is examined using merging increment index
Amount of calculation during rope result out.Further, since using under line generate index, reduce index generate and
Impact of the switching to business on line.
As shown in figure 4, being the flow chart of the searching method embodiment of the present invention.The method is comprised the following steps:
S1, by index is generated under the line of Master subsystems 10, and the index generated under line is deployed to into Slave
In subsystem 20;
S2, by Slave subsystems 20 according under line generate index search service is externally provided.
In an embodiment of the present invention, as shown in figure 5, above-mentioned steps S1 are specifically included:
S11, all data of control predetermined period are indexed by a full dose is generated, wherein, predetermined period is one day;
The frequency that S12, incrementally data occur indexes institute in the Preset Time after generating to self-generating full dose
The first incremental data for producing generates increment index, wherein, increment index includes newly-increased index, updates index
Index with deleting.
In above-mentioned steps S1, by generating full dose index and increment index, i.e. full dose index and increment respectively
The mode that index combines, and then preferable index upgrade is reached, and then index upgrade is reached, over time
Passage, full dose index and increment index define an index generate sequential, as shown in Figure 3.With reference to Fig. 3,
When full dose index and increment index is generated every time, new full dose indexes the old full dose for generating replaceable last time
Index and whole old increment indexes, the replaceable old increment index of new increment index, that is, complete once
Index upgrade.Meanwhile, the generation number of times of full dose index is relevant with the scale of increment index, and full dose index is generated
Number of times is more frequent, and the scale of increment index is less.In the present embodiment, it is complete due to generating according to predetermined period
Amount index, and the frequency occurred according to incremental data generates increment index, on the one hand avoids full dose index life
Into number of times it is excessively frequent, and then reduce the computing resource of Master subsystems, Internet resources and storage money
The pressure in source etc., on the other hand, reduces the scale of increment index, and then reduces follow-up using merging increasing
Amount indexes amount of calculation during be retrieved result.
In an embodiment of the present invention, when scanning for, it usually needs incremental data is carried out newly-increased operation,
Operation and deletion action are updated, in order to reach the effect of this three kinds operations, increment is generated to the first incremental data
Index step is specifically included:
S121, by the first incremental data classification, respectively increase newly data, update the data and delete data;
S122, respectively to newly-increased data, update the data and delete the newly-increased index of data creation, update index and
Delete index.
In an embodiment of the present invention, also included before above-mentioned steps S12:
S12 ', to it is all of index from last time full dose generate since produced the second incremental data close
Union, obtains indexing the first incremental data produced in the Preset Time after generating from full dose.This step
It is to reach the effect that newly-increased operation is carried out to incremental data, operation and deletion action is updated like clockwork
Really.
In an embodiment of the present invention, as shown in figure 5, above-mentioned steps S2 are specifically included:
What S21, the full dose index according to being disposed by Master subsystems, newly-increased index and renewal index were constituted
Set merges retrieval and obtains amalgamation result collection, and is carried out according to the deletion index of Master subsystems deployment
Retrieval obtains deleting result set, wherein, the record that amalgamation result is concentrated is ranked up according to the renewal time, by
According to newly-increased index, update index and full dose index merges retrieval, increase operation newly and update what is operated
Record is just directly retrieved amalgamation result concentration;
S22, according to the order traversal amalgamation result collection of record, and the amalgamation result concentrated repeat
Record deletion, obtain result set to be output, the major key of the record for repeating is identical, due to update operation
Record amalgamation result can be caused to concentrate be likely to occur multiple versions of same record, equivalent to what is repeated
Record, meanwhile, the record that amalgamation result is concentrated is ranked up according to the renewal time, therefore, to same record
Multiple versions renewal time larger record is deleted when being investigated;
The major key of the record in S23, comparison result set to be output and deletion result set, and delete knot to be output
It is that fruit is concentrated to record with major key identical that is deleting the record in result set, obtain search result set.
In search, the merging that above-mentioned steps S2 pass through increment index reaches the effect of data increment operation,
Realize the effect that incremental data quasi real time updates.
The searching method of the embodiment of the present invention, Master subsystems reduce realization using index is generated under line
Complexity, meanwhile, index is generated under line and is indexed and by the way of increment index combines using full dose is generated,
Wherein, full dose index is generated according to predetermined period, increment index is generated according to the frequency that incremental data occurs,
The balance between the number of times and the scale of increment index of full dose index generation is reached, and then can be reached preferably
Index upgrade effect, on the one hand reduces computing resource, Internet resources and the storage resource of Master subsystems
Deng pressure, on the other hand, reduce using amount of calculation when merging result that increment index is retrieved,
Realize the effect that incremental data quasi real time updates.Further, since using index is generated under line, reducing rope
Cause into the impact to business on line with switching.
The above, the only present invention preferably specific embodiment, but protection scope of the present invention not office
Be limited to this, any those familiar with the art the invention discloses technical scope in, can be easily
The change or replacement expected, all should be included within the scope of the present invention.Therefore, protection of the invention
Scope should be defined by scope of the claims.
Claims (10)
1. a kind of searching method, it is characterised in that the method is comprised the following steps:
S1, by index is generated under Master subsystem lines, and the index generated under line is deployed to into Slave subsystems
In system, wherein, the index generated under the line includes that full dose is indexed and increment index;
S2, by the Slave subsystems according under the line generate index search service is externally provided.
2. according to the searching method described in claim 1, it is characterised in that step S1 is specifically included:
S11, full dose described in all data genarations one is indexed according to predetermined period, wherein, the default week
Phase is one day;
The frequency that S12, incrementally data occur is to indexing institute in the Preset Time after generating from the full dose
The first incremental data for producing generates the increment index, wherein, the increment index include newly-increased index,
Update index and delete index.
3. according to the searching method described in claim 2, it is characterised in that in step S12,
The increment index step is generated to the first incremental data to specifically include:
S121, by first incremental data classification, respectively increase newly data, update the data and delete data;
S122, respectively to the newly-increased data, it is described update the data and it is described deletion data creation described in increase newly
Index, described renewal index and the deletion index.
4. according to the searching method described in claim 3, it is characterised in that before step S12
Also include:
S12 ', index produced the second increment in the Preset Time after generating from the full dose to all of
Data merge computing, obtain first incremental data.
5. according to the searching method described in claim 4, it is characterised in that step S2 is specifically included:
S21, basis are entered by the set that full dose index, the newly-increased index and the renewal index are constituted
Row merges retrieval and obtains an amalgamation result collection, and is indexed into line retrieval according to the deletion and obtain a deletion result
Collection;
S22, according to record order traversal described in amalgamation result collection, and by the amalgamation result concentrate repeat
The record deletion of appearance, obtains a result set to be output;
The major key of the record in result set to be output described in S23, comparison and the deletion result set, and delete
Recording with the major key identical for deleting the record in result set in the result set to be output, obtains one
Search result set.
6. a kind of search system, it is characterised in that the search system includes Master subsystems and at least
One Slave subsystem, wherein:
The Master subsystems enter under line to generate index, and the index generated under line are deployed to described
In Slave subsystems, wherein, the index generated under the line includes that full dose is indexed and increment index;
The Slave subsystems externally provide search service according to the index generated under the line.
7. according to the search system described in claim 6, it is characterised in that the Master subsystems bag
Full dose index generation module and increment index generation module are included, wherein:
The full dose index generation module is indexed according to predetermined period to full dose described in all data genarations one, its
In, the predetermined period is one day;
The increment index generation module frequency that incrementally data occur from full dose index to generating
The first incremental data produced in Preset Time afterwards generates the increment index, wherein, the increment rope
Draw including newly-increased index, update index and deletion index.
8. according to the search system described in claim 7, it is characterised in that the increment index generates mould
Block generates the increment index step and specifically includes to the first incremental data:
By first incremental data classification, respectively increase data newly, update the data and delete data;
Respectively to the newly-increased data, it is described update the data and it is described deletion data creation described in increase newly index,
It is described to update index and the deletion index.
9. according to the search system described in claim 8, it is characterised in that the Master subsystems are also
Including merging module, wherein:
The merging module is indexed produced the in the Preset Time after generating to all of from the full dose
Two incremental datas merge computing, obtain first incremental data.
10. according to the searching method described in claim 9, it is characterised in that the Slave subsystems bag
Retrieval module, re-scheduling module and filtering module are included, wherein:
The retrieval module indexes what is constituted according to by full dose index, the newly-increased index and described renewal
Set merges retrieval and obtains an amalgamation result collection, and is indexed according to the deletion and obtain one into line retrieval and delete
Division result collection;
Re-scheduling module amalgamation result collection according to the order traversal of record, and by the amalgamation result collection
In the record deletion that repeats, obtain a result set to be output;
The major key of the record in the filtering module result set to be output and the deletion result set,
And delete in the result set to be output with it is described deletion result set in record major key identical record,
Obtain a search result set.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109101599A (en) * | 2018-08-01 | 2018-12-28 | 北京奇艺世纪科技有限公司 | A kind of increment index update method and system |
CN111767284A (en) * | 2020-06-23 | 2020-10-13 | Oppo(重庆)智能科技有限公司 | Data processing method, device, storage medium and server |
CN113052543A (en) * | 2021-05-31 | 2021-06-29 | 广州宸祺出行科技有限公司 | Statistical storage method, device and application of regional orders and driver heating power |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100306238A1 (en) * | 2009-05-29 | 2010-12-02 | International Business Machines, Corporation | Parallel segmented index supporting incremental document and term indexing |
CN102169507A (en) * | 2011-05-26 | 2011-08-31 | 厦门雅迅网络股份有限公司 | Distributed real-time search engine |
CN102339315A (en) * | 2011-09-30 | 2012-02-01 | 亿赞普(北京)科技有限公司 | Index updating method and system of advertisement data |
CN103294731A (en) * | 2012-03-05 | 2013-09-11 | 阿里巴巴集团控股有限公司 | Real-time index creating and real-time searching method and device |
CN104156367A (en) * | 2013-05-14 | 2014-11-19 | 阿里巴巴集团控股有限公司 | Search engine capacity expansion method and search service system |
-
2015
- 2015-10-16 CN CN201510675267.5A patent/CN106598990B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100306238A1 (en) * | 2009-05-29 | 2010-12-02 | International Business Machines, Corporation | Parallel segmented index supporting incremental document and term indexing |
CN102169507A (en) * | 2011-05-26 | 2011-08-31 | 厦门雅迅网络股份有限公司 | Distributed real-time search engine |
CN102339315A (en) * | 2011-09-30 | 2012-02-01 | 亿赞普(北京)科技有限公司 | Index updating method and system of advertisement data |
CN103294731A (en) * | 2012-03-05 | 2013-09-11 | 阿里巴巴集团控股有限公司 | Real-time index creating and real-time searching method and device |
CN104156367A (en) * | 2013-05-14 | 2014-11-19 | 阿里巴巴集团控股有限公司 | Search engine capacity expansion method and search service system |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109101599A (en) * | 2018-08-01 | 2018-12-28 | 北京奇艺世纪科技有限公司 | A kind of increment index update method and system |
CN109101599B (en) * | 2018-08-01 | 2021-02-23 | 北京奇艺世纪科技有限公司 | Incremental index updating method and system |
CN111767284A (en) * | 2020-06-23 | 2020-10-13 | Oppo(重庆)智能科技有限公司 | Data processing method, device, storage medium and server |
CN111767284B (en) * | 2020-06-23 | 2023-11-21 | Oppo(重庆)智能科技有限公司 | Data processing method, device, storage medium and server |
CN113052543A (en) * | 2021-05-31 | 2021-06-29 | 广州宸祺出行科技有限公司 | Statistical storage method, device and application of regional orders and driver heating power |
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