CN105373746B - A kind of distributed data processing method and apparatus - Google Patents
A kind of distributed data processing method and apparatus Download PDFInfo
- Publication number
- CN105373746B CN105373746B CN201510843682.7A CN201510843682A CN105373746B CN 105373746 B CN105373746 B CN 105373746B CN 201510843682 A CN201510843682 A CN 201510843682A CN 105373746 B CN105373746 B CN 105373746B
- Authority
- CN
- China
- Prior art keywords
- data
- request
- processing
- tables
- server node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
-
- 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
-
- 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
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2471—Distributed queries
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Computer Hardware Design (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Computational Linguistics (AREA)
- Bioethics (AREA)
- Health & Medical Sciences (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention provides a kind of distributed data processing methods to include：Data processing request is received, the data processing request includes the data of client identity identification information and request processing；According to the client identity identification information, the server node corresponding with the client identity identification information is searched；The data of the request processing are sent to searched server node to handle.Since the present invention is corresponding with user by server node, while to be conducive to keep the data integrity and efficiency of request processing, the safety of user data also can be effectively improved.
Description
Technical field
The invention belongs to data processing field more particularly to a kind of distributed data processing method and apparatus.
Background technology
With the continuous development of network technology, user terminal and the content of server progress data exchange are also more and more,
Such as the server for applications such as finance or shoppings at network, while needing to store a large amount of data, it is also desirable in real time
The analyzing processing to the data of user is completed, in order to bring the service of Portable safety for user.
In order to improve the efficiency of server process data, in the prior art usually using more server, according to task
Measure the mode assisted, to complete the processing to mass data, the benefit of this processing mode be so that data processing compared with
To be timely, still, since the server of processing data is to carry out selection, this mode according to the current busy state of server
It is easy the loss of data so that user, to be unfavorable for the safety of user data.
Invention content
The purpose of the present invention is to provide a kind of distributed data processing methods, and user is easy to cause to solve the prior art
Loss of data, the problem of safety to be unfavorable for user data.
In a first aspect, an embodiment of the present invention provides a kind of distributed data processing method, the method includes：
Data processing request is received, the data processing request includes client identity identification information and the number of request processing
According to；
According to the client identity identification information, the server node corresponding with the client identity identification information is searched；
The data of the request processing are sent to searched server node to handle.
With reference to first aspect, in the first possible realization method of first aspect, the number by the request processing
Include according to searched server node progress processing step is sent to：
According to preset distributed slice rule and the client identity identification information, the request is handled
Data carry out cutting；
The tables of data that will in advance divide in the data distribution to the server node searched of request processing after slice, and
Update the corresponding index of the tables of data.
The possible realization method of with reference to first aspect the first, in second of possible realization method of first aspect, institute
The tables of data that will in advance divide in the data distribution to the server node searched of the request processing after slice is stated, and updates institute
Stating the corresponding index step of tables of data includes：
The data storage area in server node is divided into multiple tables of data in advance；
It, will be in the data distribution to tables of data of the request processing after slice according to preset distributed slice rule；
According to the position of the data of the request processing after slice being distributed in tables of data, the index of the tables of data is updated
Information.
With reference to first aspect, in the third possible realization method of first aspect, the reception data processing request, institute
State data processing request include client identity identification information and request processing data step include：
Data processing request is received by global load balancing system, and the data processing request is distributed to server and is born
Equal balance system is carried, and by server load balancing system forwards to a preposition group of planes.
With reference to first aspect, in the 4th kind of possible realization method of first aspect, the method further includes：
Downlink file derived from server node is received, according to the data characteristics of the downlink file, is arranged as unification
File.
Second aspect, an embodiment of the present invention provides a kind of distributed data processing device, described device includes：
Request reception unit, for receiving data processing request, the data processing request includes client identity mark letter
Breath and the data of request processing；
Node checks unit, for according to the client identity identification information, searching and the client identity identification information
Corresponding server node；
Data processing unit, for the data of the request processing to be sent at searched server node
Reason.
In conjunction with second aspect, in the first possible realization method of second aspect, the data processing unit includes：
Data cutting subelement, for being identified according to preset distributed slice rule and the client identity
Information carries out cutting to the data of the request processing；
Index upgrade subelement, in the data distribution to the server node searched for asking processing after being sliced
The tables of data divided in advance, and update the corresponding index of the tables of data.
In conjunction with the first possible realization method of second aspect, in second of possible realization method of second aspect, institute
Stating index upgrade subelement includes：
Divide module, for the data storage area in server node to be divided into multiple tables of data in advance；
Distribution module, for regular according to preset distributed slice, by the data point of the request processing after slice
In cloth to tables of data；
Update module, the position of the data for being handled according to the request after slice being distributed in tables of data, updates institute
State the index information of tables of data.
In conjunction with second aspect, in the third possible realization method of second aspect, the request reception unit includes：
Data processing request is received by global load balancing system, and the data processing request is distributed to server and is born
Equal balance system is carried, and by server load balancing system forwards to a preposition group of planes.
In conjunction with second aspect, in the 4th kind of possible realization method of second aspect, described device further includes：
File consolidation unit, for receiving downlink file derived from server node, according to the data of the downlink file
Feature arranges as unified file.
In the present invention, in the data processing request received, the user identity that the request of data includes is obtained
Identification information sends out the data of request processing according to the corresponding server node of the User Identity information searching
The server node for being sent to lookup is handled, since the present invention is corresponding with user by server node, to be conducive to keep
While asking the data integrity and efficiency of processing, the safety of user data also can be effectively improved.
Description of the drawings
Fig. 1 is the implementation flow chart for the distributed data processing method that first embodiment of the invention provides；
Fig. 2 is the implementation flow chart for the distributed data processing method that second embodiment of the invention provides；
Fig. 3 is the structural schematic diagram for the distributed data processing device that third embodiment of the invention provides.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
The main purpose of the embodiment of the present invention is that Information Security cannot when solution carries out data processing in the prior art
The problem of preferably being ensured.In the prior art in order to improve data processing speed so that data are effectively located much sooner
Reason, can flexibly be distributed in the prior art according to the load of data processing server, although number can be effectively raised
It according to processing speed, still, may be such that user data information is lost, be unfavorable for ensureing Information Security, especially financial number
According to processing great property loss can be brought to user if corrupt data.It further illustrates below in conjunction with the accompanying drawings.
Embodiment one：
Fig. 1 shows the implementation process for the distributed data processing method that first embodiment of the invention provides, and details are as follows：
In step S101, receive data processing request, the data processing request include client identity identification information and
Ask the data of processing.
Specifically, the data processing request described in the embodiment of the present invention, can be transmitted by different user terminals, it is described
User terminal includes but not limited to mobile phone, tablet computer, desktop computer or bank client etc..Certainly, the data processing
Request can also be forwarded by other data processing centres.
As in a kind of preferred embodiment of the present invention, the mode for receiving data processing request may include：By
Global load balancing system receives the data processing request that each user terminal is sent, and by global load balancing system to wide area
The server of different zones carries out data allotment in net, then by server load balancing system to the front end processor in the same area
Group carries out data allotment.By pending data forwarding to server node in a preposition group of planes, it to be used for the place of paired data
Reason.
When carrying out data allotment by global load balancing system and the equal balance system of server, pending data are sent
To a preposition group of planes.When being forwarded to the corresponding node of user account information by a preposition group of planes, according to presetting user account information
The correspondence of the node of a preposition group of planes different from different zones is forwarded.
The pending data can be that business clears data, bill processing etc., be primarily useful for safe, number
The data content, such as common security bargain data, bank transfer, account settlement business etc. that must be completed by server according to clearing.
In step s 102, it according to the client identity identification information, searches corresponding with the client identity identification information
Server node.
Preferably, the correspondence of client identity identification information and server node, the same user can be preset
Identification information can correspond to multiple and different server nodes, and the preposition group of planes of difference of different zones can specifically be arranged
The correspondence of interior server node, so that same user corresponds to the same server node under a preposition group of planes.
Certainly, not limited to this, one or more fixed server node can also be set as needed, work as setting
When the correspondence of multiple server nodes, can directly search the load information of the server node of setting, according to setting relationship,
Selection preferably server node carries out data processing.
In step s 103, the data of the request processing searched server node is sent to handle.
The present invention is divided the pending data according to the correspondence of user account information and server node
It cuts, so that server can mitigate processing load, while improving treatment effeciency, is also beneficial to in same account information
Data, be to be completed by server node, avoid being split the data of same user by multiple server nodes
The loss of data that may be brought is managed, to be conducive to the safety and reliability of user data processing.
Embodiment two：
Fig. 2 shows the implementation processes for the distributed data processing method that second embodiment of the invention provides, and details are as follows：
In step s 201, receive data processing request, the data processing request include client identity identification information and
Ask the data of processing.
In step S202, according to the client identity identification information, search corresponding with the client identity identification information
Server node.
Step S201, step S101, S102 is essentially identical in S202 and embodiment one, so here is no more repetition.
It is right according to preset distributed slice rule and the client identity identification information in step S203
The data of the request processing carry out cutting.
Data are split by step S202, by data distribution to different server nodes, pass through router
The database of specific server node is accessed, so that the server not instead of single server accessed, more services
Device can thus reduce the defect of the system resource anxiety caused by using single server.And by the number of same user
Identical server node is set according to distribution, the safety and stability of data processing can be improved.
Further include further according to distribution slice rule, in conjunction with client identity identification information pair in this step S203
Data carry out the operation of cutting, wherein the distributed slice rule, can according to client identity identification information, will ask
The data slicer of processing is multiple data, and each data after cutting are corresponding with single client identity identification information.
Certainly, it should not be limited to be divided into single customer data, the data of division can also be made to include one or more
The data of a client, being adjusted according to the flexible in size of tables of data.But it needs to ensure the data for same user,
It is divided in the same data block, in order to be stored in the same tables of data.
In step S204, will in advance it divide in the data distribution to the server node searched of the request processing after slice
The tables of data cut, and update the corresponding index of the tables of data.
For example for node data acc_fund, acc_fund_001, acc_fund_002, acc_fund_ can be divided into
Multiple tables of data such as 001 ... acc_fund_00n, certainly, the number of the segmentation also can be according to the flexible in size of node data
Adjustment, for example for larger node data, then divide more a tables of data, to be more conducive to the processing to small data
Flexibility ratio.
If deploying 50 server nodes, for example 50 groups of physical machines are deployed, that is, by data according to user
The integrality of account information is divided into 50 parts to data, and each server node can be divided into 20 tables of data, in this way
From entirety, original big data has been split into 1000 parts of small data.In the processing procedure of data, such as into line number
According to clearance, in process of exchange, the operation generally for data is a part of small data therein, and this reduces singles
The processing cost of data improves the efficiency of the concurrency and clearance efficiency, especially write operation of system.
For example, when having 50,000,000 datas in acc_fund tables, if being inserted into a new data in this tables of data,
After being so inserted into, in the prior art, database can re-establish index according to this new table, then need to expend a large amount of
System resource influences the write efficiency of system.
And after using the method for the invention, if this tables of data is divided into 100 tables of data, from acc_fund_
001 up to acc_fund_100, and 50,000,000 datas probably only have 500,000 datas after over-segmentation in each tables of data,
If user needs to be inserted into a data in a wherein tables of data, only need to update the number in be inserted into node data
According to the index of table so that the time of index upgrade declines at the order of magnitude, greatly improves the operational efficiency of tables of data, improves
The concurrent operations amount of tables of data.
In addition, in the embodiment that can be advanced optimized, in embodiments of the present invention, for the processing side of new user data
Formula can also include the following steps：
Whether it is new user according to the client identity identification information judgment；
If it is new user, the load information of current server node and the tables of data quantity of server node are obtained
Information determines that new user corresponds to according to the tables of data quantity information of the load information of the server node and server node
Server node.
Wherein, the load information of the server node refers to the quantity of the idling-resource of server node current system,
Or the percent value that the idling-resource of current server node occupies.The tables of data quantity information of the server node is
Refer to the size for the memory space that server currently occupies.
According to the load information of server node and tables of data quantity information, it can preferentially select system idling-resource rich
Server node rich, system memory space is abundant, so as to effectively enable the data of user timely and effectively to locate
While reason, the stability of the data is improved.
Wherein, scheduled weights, such as 1 may be used in the load information of server node and tables of data quantity information
Weights than 1 calculate and select to obtain the larger server node of numerical value.
In addition, as a further embodiment of the invention, after the data processing is complete, such as server node clearance knot
Shu Hou obtains node statistics file the invention also includes the data of each server node are carried out integration and collect statistics, this
Sample, which can be obtained by, views global collect statistics information.Then node statistics file is exported by each node, is integrated into one
A unified file is completed to the unified reception of file, distribution process, the processing for uniformly issuing operation.
The present invention has further specifically introduced on the basis of embodiment one and has further been split data for tables of data
Processing, so that the operating efficiency of server is improved.
Embodiment three：
Fig. 3 shows the structural schematic diagram for the distributed data processing device that third embodiment of the invention provides, and is described in detail such as
Under：
Distributed data processing device described in the embodiment of the present invention includes：
Request reception unit 301, for receiving data processing request, the data processing request includes client identity mark
Information and the data of request processing；
Node checks unit 302, for according to the client identity identification information, searching and believing with client identity mark
Cease corresponding server node；
Data processing unit 303 is carried out for the data of the request processing to be sent to searched server node
Processing.
Preferably, the data processing unit includes：
Data cutting subelement, for being identified according to preset distributed slice rule and the client identity
Information carries out cutting to the data of the request processing；
Index upgrade subelement, in the data distribution to the server node searched for asking processing after being sliced
The tables of data divided in advance, and update the corresponding index of the tables of data.
Preferably, the index upgrade subelement includes：
Divide module, for the data storage area in server node to be divided into multiple tables of data in advance；
Distribution module, for regular according to preset distributed slice, by the data point of the request processing after slice
In cloth to tables of data；
Update module, the position of the data for being handled according to the request after slice being distributed in tables of data, updates institute
State the index information of tables of data.
Preferably, the request reception unit includes：
Data processing request is received by global load balancing system, and the data processing request is distributed to server and is born
Equal balance system is carried, and by server load balancing system forwards to a preposition group of planes.
Preferably, described device further includes：
File consolidation unit, for receiving downlink file derived from server node, according to the data of the downlink file
Feature arranges as unified file.
Distributed data processing device described in the embodiment of the present invention is the distributed data processing side described in embodiment one, two
Method is corresponding, so here is no more repetition.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
Only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be the INDIRECT COUPLING or logical by some interfaces, device or unit
Letter connection can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory),
Random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can to store program code
Medium.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (8)
1. a kind of distributed data processing method, which is characterized in that the method includes：
Data processing request is received, the data processing request includes the data of client identity identification information and request processing；
According to the client identity identification information, the server node corresponding with the client identity identification information is searched；
The data of the request processing are sent to searched server node to handle；
The data by the request processing are sent to searched server node and handle：
According to preset distributed slice rule and the client identity identification information, to the number of the request processing
According to progress cutting；
The tables of data that will in advance divide in the data distribution to the server node searched of request processing after slice, and update
The corresponding index of the tables of data.
2. method according to claim 1, which is characterized in that the data distribution by the request processing after slice is to being looked into
The tables of data divided in advance in the server node looked for, and update the corresponding index step of the tables of data and include：
The data storage area in server node is divided into multiple tables of data in advance；
It, will be in the data distribution to tables of data of the request processing after slice according to preset distributed slice rule；
According to the position of the data of the request processing after slice being distributed in tables of data, the index letter of the tables of data is updated
Breath.
3. method according to claim 1, which is characterized in that the reception data processing request, the data processing request
Including client identity identification information and request processing data step include：
Data processing request is received by global load balancing system, and it is equal that the data processing request is distributed to server load
Balance system, and by server load balancing system forwards to a preposition group of planes.
4. method according to claim 1, which is characterized in that the method further includes：
Downlink file derived from server node is received to be arranged as unified file according to the data characteristics of the downlink file.
5. a kind of distributed data processing device, which is characterized in that described device includes：
Request reception unit, for receiving data processing request, the data processing request include client identity identification information and
Ask the data of processing；
Node checks unit, for according to the client identity identification information, searching corresponding with the client identity identification information
Server node；
Data processing unit is handled for the data of the request processing to be sent to searched server node；
The data processing unit includes：
Data cutting subelement, for being sliced rule and the client identity identification information according to preset distribution,
Cutting is carried out to the data of the request processing；
Index upgrade subelement, for advance in the data distribution to the server node searched for asking processing after being sliced
The tables of data of segmentation, and update the corresponding index of the tables of data.
6. device according to claim 5, which is characterized in that the index upgrade subelement includes：
Divide module, for the data storage area in server node to be divided into multiple tables of data in advance；
Distribution module, for according to preset distributed slice rule, the data distribution of processing will to be asked extremely after slice
In tables of data；
Update module, the position of the data for being handled according to the request after slice being distributed in tables of data, updates the number
According to the index information of table.
7. device according to claim 5, which is characterized in that the request reception unit includes：
Data processing request is received by global load balancing system, and it is equal that the data processing request is distributed to server load
Balance system, and by server load balancing system forwards to a preposition group of planes.
8. device according to claim 5, which is characterized in that described device further includes：
File consolidation unit, for receiving downlink file derived from server node, according to the data characteristics of the downlink file,
It is unified file to arrange.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510843682.7A CN105373746B (en) | 2015-11-26 | 2015-11-26 | A kind of distributed data processing method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510843682.7A CN105373746B (en) | 2015-11-26 | 2015-11-26 | A kind of distributed data processing method and apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105373746A CN105373746A (en) | 2016-03-02 |
| CN105373746B true CN105373746B (en) | 2018-09-14 |
Family
ID=55375934
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510843682.7A Active CN105373746B (en) | 2015-11-26 | 2015-11-26 | A kind of distributed data processing method and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105373746B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108156188B (en) * | 2016-12-02 | 2021-06-01 | 中科星图股份有限公司 | Data validity checking system |
| CN108156194B (en) * | 2016-12-02 | 2019-10-08 | 中科星图股份有限公司 | A kind of form data processing method |
| CN108156195B (en) * | 2016-12-02 | 2021-08-20 | 中科星图股份有限公司 | Service data checking method and system |
| CN107508901B (en) * | 2017-09-04 | 2020-12-22 | 北京京东尚科信息技术有限公司 | Distributed data processing method, device, server and system |
| CN111464627B (en) * | 2020-03-31 | 2021-05-25 | 中国科学院自动化研究所 | Data processing method, edge server, center server and processing system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102833294A (en) * | 2011-06-17 | 2012-12-19 | 阿里巴巴集团控股有限公司 | File processing method and system based on cloud storage, and server cluster system |
| CN103036688A (en) * | 2013-01-05 | 2013-04-10 | 浪潮电子信息产业股份有限公司 | Accounting management method of cloud storage service used by users |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030163586A1 (en) * | 2002-02-27 | 2003-08-28 | Steve Schnetzler | Server persistence using a URL identifier |
| US20070288466A1 (en) * | 2006-05-02 | 2007-12-13 | Mypoints.Com Inc. | System and method for evenly distributing data across a distributed member architecture utilizing a home silo |
-
2015
- 2015-11-26 CN CN201510843682.7A patent/CN105373746B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102833294A (en) * | 2011-06-17 | 2012-12-19 | 阿里巴巴集团控股有限公司 | File processing method and system based on cloud storage, and server cluster system |
| CN103036688A (en) * | 2013-01-05 | 2013-04-10 | 浪潮电子信息产业股份有限公司 | Accounting management method of cloud storage service used by users |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105373746A (en) | 2016-03-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105373746B (en) | A kind of distributed data processing method and apparatus | |
| CN107515878B (en) | Data index management method and device | |
| CN107483522B (en) | Service access method and device | |
| CN113067883B (en) | Data transmission method, device, computer equipment and storage medium | |
| CN107633016B (en) | Data processing method and device and electronic equipment | |
| CN106202416B (en) | Table data write method and device, table data read method and device | |
| CN107391632B (en) | Database storage processing method and device, computing equipment and computer storage medium | |
| CN110502546A (en) | A kind of data processing method and device | |
| CN104750872A (en) | Method and device for searching service object | |
| CN103617508A (en) | Configurable business rule plug-in extension apparatus and business rule plug-in extension method | |
| CN106528289B (en) | Resource operation processing method and device | |
| CN106326243B (en) | Data processing method and device | |
| CN108509437A (en) | A kind of ElasticSearch inquiries accelerated method | |
| CN105187230B (en) | The switching method and device of server | |
| US20180189366A1 (en) | Data processing method, device and system of query server | |
| JP6975153B2 (en) | Data storage service processing method and equipment | |
| CN104618304A (en) | Data processing method and data processing system | |
| CN109947759A (en) | A kind of data directory method for building up, indexed search method and device | |
| US7313657B1 (en) | Conflict avoidance in data store replication | |
| US10033737B2 (en) | System and method for cross-cloud identity matching | |
| CN108399175B (en) | Data storage and query method and device | |
| CN105872635A (en) | Video resource distribution method and device | |
| CN111008220A (en) | Dynamic identification method and device of data source, storage medium and electronic device | |
| CN107315756B (en) | Log processing method and device | |
| CN104679905B (en) | A kind of high-speed memory system based on cloud storage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |