CN110515726A - A kind of database loads equalization methods and device - Google Patents
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- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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Abstract
It include: that the migration plan recorded by Region from source Region server migration to target Region server is generated according to load distribution situation in database host node the invention discloses a kind of database loads equalization methods and device；Pass through remote procedure call service offline Region in the Region server of source, and the online Region in target Region server according to migration plan；It will be in the data cached block caching for being moved to target Region server in the block caching of source Region server；The server where Region is revised as target Region server from source Region server on first table of database.The present invention can migrate project for different Region to optimize caching, reduce cache resources and waste and shorten time-consuming caused by Region migration increase.
Description
Technical field
The present invention relates to computer fields, more specifically, particularly relating to a kind of database loads equalization methods and device.
Background technique
With the fast development of internet, solves the problems, such as that large-scale data exists using traditional Relational DataBase and cause
Extensive concern, NoSQL (Not Only SQL, non-relational database) research become hot spot.The data volume that internet generates increases
It is long rapid, the continuous growth for mass data, it is desirable that system has good property extending transversely, and Clustering is able to solve this
Class problem.Energy resource-sharing between cluster, control task distribution scheduling performance, and as the increase of data is extended.
Apache HBase is the distributed NoSQL database of open source.HBase is as a distributed column storage
Library is widely used because of features such as its high availability, scalabilities.HBase and Hadoop Seamless integration-, utilizes HDFS
The bottom distributed storage of (Hadoop distributed file system) realization data.HBase database is the database of column storage,
The columns of table can dynamically increase after building table, for no actual value column without storage, save space.
With the injection of mass data, the increase of HBase Region number or unequally to Region Server
(Region server) access, HBase are as far as possible equably distributed to HBase Region often by load-balancing algorithm guarantee
A Region Server.
If there are load imbalance, the stopping states of part of nodes to be just easy to occur by Region Server, into
And influence overall performance.Basic operation relative to traditional database has increasing, deletes, changes, looking into, the data in HBase only read and
Write two kinds.Because being related to the position transition of back end Region in load-balancing mechanism, and reading and writing process can all be related to
Corresponding Region (region), so the transition of Region have a certain impact to the readwrite performance of data.
When reading data in HBase, lookup corresponding data inside Zookeeper (sub-project of Hadoop) can be arrived first and deposited
ROOT table address.By data, META table (first table) is found in address in ROOT table, according to the key-value pair in META table
The Region Server where changing Region is found, then client and the Region Server establish interface channel.Pass through
The feature for analyzing requested date, Region where eventually finding data, then can first access in BlockCache (block caching)
With the presence or absence of data, if it is present directly reading.If do not had in BlockCache, in the HFile in file system of arriving
Data are inquired, are inquired after data also by data buffer storage into BlockCache.
During HBase cluster handles read request, BlockCache has been played very important as caching mechanism
Effect.It is demonstrated experimentally that in the memory of physical node read data speed than directly from disk or by network from other
The speed that machine disk reads data is many fastly.
There is will affect clustering performance the problem of in load balancing operation, Region is in two Region Server
Between when move, the read buffer data for belonging to the Region can be on original Region Server by BlockCache
Mechanism is removed, after moving to purpose Region Server, the original state in the BlockCache of purpose Region Server
For sky, when same data are accessed request on new Region Server, cluster must be read from disk again
Data, this, which re-reads data, will expend more resources and response time.
Aiming at the problem that database equally loaded in the prior art will lead to the wasting of resources, the response time extends, at present still
There is not effective solution scheme.
Summary of the invention
In view of this, the purpose of the embodiment of the present invention is to propose a kind of database loads equalization methods and device, it can
Optimize caching for different Region migration projects, reduces cache resources and waste and shorten time-consuming caused by Region migration
Increase.
Based on above-mentioned purpose, the first aspect of the embodiment of the present invention provides a kind of database loads equalization methods, comprising:
It is recorded Region according to the generation of load distribution situation from source Region server migration in database host node
To the migration plan of target Region server；
According to migration plan by remote procedure call service offline Region in the Region server of source, and in target
Online Region in Region server；
It will be in the data cached block caching for being moved to target Region server in the block caching of source Region server；
The server where Region is revised as target Region from source Region server on first table of database
Server.
In some embodiments, migration plan is by Region, source Region server and target Region server
The vector of composition.
In some embodiments, the offline Region in the Region server of source further include: while being taken from source Region
It is engaged in removing Region in the online Region list of device.
In some embodiments, the online Region in target Region server further include: while to target
Region is added in the online Region list of Region server.
It in some embodiments, include multiple write in the memory of source Region server and target Region server
Enter to store Region and block caching Region, block caches Region by source Region server or target Region server
Multiple Region are shared.
In some embodiments, data cached in the block of source Region server caching is moved to target Region
It include: data cached shifting relevant to Region in the block caching Region by source Region server in the block caching of server
It moves in the block caching Region of target Region server.
In some embodiments, multiple write-in storage Region are by source Region server or target Region server
In multiple Region independently occupy.
In some embodiments, the offline Region in the Region server of source, and in target Region server
Online Region includes: the write-in storage Region of the offline Region in the Region server of source, and takes in target Region
The write-in of online Region stores Region in business device.
The second aspect of the embodiment of the present invention provides a kind of database loads balancer, comprising:
Schedule module, for being recorded Region according to the generation of load distribution situation from source in database host node
Migration plan of the Region server migration to target Region server；
Upper downline module, for offline in the Region server of source by remote procedure call service according to migration plan
Region, and the online Region in target Region server；
Cache module is serviced for the data cached target Region that is moved in the block caching by source Region server
In the block caching of device；
Meta data block, for repairing the server where Region from source Region server on first table of database
It is changed to target Region server.
The third aspect of the embodiment of the present invention provides a kind of database, comprising:
Processor；With
Memory, is stored with the program code that processor can be run, and program code executes above-mentioned data when being run
Library load-balancing method.
The present invention has following advantageous effects: database loads equalization methods provided in an embodiment of the present invention and dress
Set, by database host node according to load distribution situation generation record by Region from source Region server migration to
The migration plan of target Region server；Pass through remote procedure call service in the Region server of source according to migration plan
Offline Region, and the online Region in target Region server；By the caching in the block caching of source Region server
Data are moved in the block caching of target Region server；By the server where Region from source on first table of database
Region server is revised as the technical solution of target Region server, can migrate project for different Region come excellent
Change caching, reduces cache resources and waste and shorten time-consuming caused by Region migration increase.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow diagram of database loads equalization methods provided by the invention；
Fig. 2 is the Region Server logical construction schematic diagram of database loads equalization methods provided by the invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with specific embodiment, and reference
The embodiment of the present invention is further described in attached drawing.
It should be noted that all statements for using " first " and " second " are for differentiation two in the embodiment of the present invention
The non-equal entity of a same names or non-equal parameter, it is seen that " first " " second " only for the convenience of statement, does not answer
It is interpreted as the restriction to the embodiment of the present invention, subsequent embodiment no longer illustrates this one by one.
Based on above-mentioned purpose, the first aspect of the embodiment of the present invention, different Region can be directed to by proposing one kind
Migration project optimizes one embodiment of the database loads equalization methods of caching.Shown in fig. 1 is number provided by the invention
According to the flow diagram of library load-balancing method.
The database loads equalization methods, as shown in Figure 1, comprising:
Step S101: it is recorded in database host node according to the generation of load distribution situation and takes Region from source Region
Business device moves to the migration plan of target Region server；
Step S103: offline in the Region server of source by remote procedure call service according to migration plan
Region, and the online Region in target Region server；
Step S105: data cached in the block of source Region server caching is moved to target Region server
In block caching；
Step S107: the server where Region is revised as mesh from source Region server on first table of database
Mark Region server.
Region when source Region Server is offline can enforceable deletion Region on the Region Server of source
BlockCache in it is data cached, the embodiment of the present invention is remained this part is data cached, in Region migration
In the process by data cached by network copy to new Region Server, then by these it is data cached be added to it is new
Region Server BlockCache buffer structure in this realize caching duplication, improve Region in purpose Region
Server online efficiency of service realizes thermal starting, it can restores on purpose Region Server as in source at once
The service performance of Region Server.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, Ke Yitong
Computer program is crossed to instruct related hardware and complete, the program can be stored in a computer-readable storage medium,
The program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can for magnetic disk,
CD, read-only memory (ROM) or random access memory (RAM) etc..The embodiment of the computer program, Ke Yida
The effect identical or similar to corresponding aforementioned any means embodiment.
In some embodiments, migration plan is by Region, source Region server and target Region server
The vector of composition.
In some embodiments, it in the Region server of source while offline Region, is also serviced from source Region
Region is removed in the online Region list of device.
In some embodiments, in target Region server while online Region, also to target Region
Region is added in the online Region list of server.
It in some embodiments, include multiple write in the memory of source Region server and target Region server
Enter to store Region and block caching Region, block caches Region by source Region server or target Region server
Multiple Region are shared.
In some embodiments, data cached in the block of source Region server caching is moved to target Region
It include: data cached shifting relevant to Region in the block caching Region by source Region server in the block caching of server
It moves in the block caching Region of target Region server.
In some embodiments, multiple write-in storage Region are by source Region server or target Region server
In multiple Region independently occupy.
In some embodiments, the offline Region in the Region server of source, and in target Region server
Online Region includes: the write-in storage Region of the offline Region in the Region server of source, and takes in target Region
The write-in of online Region stores Region in business device.
Disclosed method is also implemented as the computer program executed by CPU, the calculating according to embodiments of the present invention
Machine program may be stored in a computer readable storage medium.When the computer program is executed by CPU, executes the present invention and implement
The above-mentioned function of being limited in method disclosed in example.Above method step and system unit also can use controller and be used for
Storage is so that controller realizes that the computer readable storage medium of the computer program of above-mentioned steps or Elementary Function is realized.
Fig. 2 shows be Region Server storage logical construction.As shown in Fig. 2, the memory of Region Server
It is divided into two parts, a part is used as MemStore, is mainly used to be written.MemStore, Region can be first written in write request
Server can provide a MemStore to each Region, after MemStore expires 64MB, will start the refreshing of Flush process
To the Hfile of disk.Another part is as BlockCache, for reading the caching of data.Read request is arrived first in MemStore and is looked into
Data avoid some data in write buffer.There are no be persisted in disk will lead in MemStore inquiry less than, into
One step is inquired into BlockCache, if also can not find out in BlockCache can just read number into file system
According to the data inquired can be put into BlockCache, can accelerate follow-up data search efficiency.
There is a BlockCache buffer structure on each Region Server, the institute on the Region Server node
There is Region to share the same BlockCache, as read buffer.
In the load-balancing mechanism of primary HBase, a load balancing plan is obtained according to load-balancing algorithm first,
Then Region is handled according to this plan, mobile or exchange, in this treatment process Region can all undergo from
Offline closing in one source Region Server, then in another Region Server online starting process.This hair
Bright embodiment reservation Region is data cached in the BlockCache of source Region Server, by these data cached companions
It is moved to purpose Region Server with Region, caching duplication is realized with this, improves Region in purpose Region
Server online efficiency of service, it can restore on purpose Region Server as in source Region Server at once
Service performance.
From above-described embodiment as can be seen that database loads equalization methods provided in an embodiment of the present invention, by data
Library host node records according to the generation of load distribution situation and takes Region from source Region server migration to target Region
The migration plan of business device；Pass through remote procedure call service offline Region in the Region server of source according to migration plan,
And the online Region in target Region server；Data cached in the block of source Region server caching is moved to mesh
It marks in the block caching of Region server；By the server where Region from source Region server on first table of database
It is revised as the technical solution of target Region server, project can be migrated for different Region to optimize caching, reduced
Cache resources waste and shorten time-consuming caused by Region migration increase.
It is important to note that each step in each embodiment of above-mentioned database loads equalization methods can be with
It intersects, replace, increase, delete, therefore, these reasonable permutation and combination transformation are also answered in database loads equalization methods
When belonging to the scope of protection of the present invention, and protection scope of the present invention should not be confined on the embodiment.
Based on above-mentioned purpose, the second aspect of the embodiment of the present invention, different Region can be directed to by proposing one kind
Migration project optimizes one embodiment of the database loads balancer of caching.Database loads balancer includes:
Schedule module, for being recorded Region according to the generation of load distribution situation from source in database host node
Migration plan of the Region server migration to target Region server；
Upper downline module, for offline in the Region server of source by remote procedure call service according to migration plan
Region, and the online Region in target Region server；
Cache module is serviced for the data cached target Region that is moved in the block caching by source Region server
In the block caching of device；
Meta data block, for repairing the server where Region from source Region server on first table of database
It is changed to target Region server.
Various illustrative logical blocks, module, circuit and algorithm steps in conjunction with described in disclosure herein can be implemented
For the combination of electronic hardware, computer software or both.In order to clearly demonstrate this interchangeability of hardware and software,
General description has been carried out to it with regard to the function of various exemplary components, square, module, circuit and step.This function is
Software is implemented as also to be implemented as hardware depending on concrete application and be applied to the design constraint of whole system.This field
Technical staff can realize the function in various ways for every kind of concrete application, but determine should not be by for this realization
It is construed to lead to be detached from range disclosed by the embodiments of the present invention.
Based on above-mentioned purpose, the third aspect of the embodiment of the present invention, different Region can be directed to by proposing one kind
Migration project optimizes database one embodiment of caching.Database includes:
Processor；With
Memory, is stored with the program code that processor can be run, and program code executes above-mentioned data when being run
Library load-balancing method.
From above-described embodiment as can be seen that database loads balancer provided in an embodiment of the present invention and database, lead to
It crosses and is recorded Region according to the generation of load distribution situation from source Region server migration to target in database host node
The migration plan of Region server；It is offline in the Region server of source by remote procedure call service according to migration plan
Region, and the online Region in target Region server；It will be data cached in the block caching of source Region server
It is moved in the block caching of target Region server；By the server where Region from source on first table of database
Region server is revised as the technical solution of target Region server, can migrate project for different Region come excellent
Change caching, reduces cache resources and waste and shorten time-consuming caused by Region migration increase.
It is important to note that the embodiment of above-mentioned database loads balancer and database uses the data
The embodiment of library load-balancing method illustrates the course of work of each module, and those skilled in the art can be easy to think
It arrives, it will be in the other embodiments of these module applications to the database loads equalization methods.Certainly, since the database is negative
The each step carried in equalization methods embodiment can be intersected, replaces, increases, be deleted, therefore, these reasonable arrangements
Combined transformation should also be as belonging to the scope of protection of the present invention in the database loads balancer and database, and not answer
Protection scope of the present invention is confined on the embodiment.
It is exemplary embodiment disclosed by the invention above, it should be noted that in the sheet limited without departing substantially from claim
Under the premise of inventive embodiments scope of disclosure, it may be many modifications and modify.According to open embodiment described herein
The function of claim to a method, step and/or movement be not required to the execution of any particular order.In addition, although the present invention is implemented
Element disclosed in example can be described or be required in the form of individual, but be unless explicitly limited odd number, it is understood that be multiple.
It should be understood that it is used in the present context, unless the context clearly supports exceptions, singular " one
It is a " it is intended to also include plural form.It is to be further understood that "and/or" used herein refers to including one or one
Any and all possible combinations of a above project listed in association.The embodiments of the present invention disclose embodiment sequence number only
Only for description, do not represent the advantages or disadvantages of the embodiments.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
It should be understood by those ordinary skilled in the art that: the discussion of any of the above embodiment is exemplary only, not
It is intended to imply that range disclosed by the embodiments of the present invention (including claim) is limited to these examples；In the think of of the embodiment of the present invention
Under road, it can also be combined between the technical characteristic in above embodiments or different embodiments, and exist as described above
Many other variations of the different aspect of the embodiment of the present invention, for simplicity, they are not provided in details.Therefore, all at this
Within the spirit and principle of inventive embodiments, any omission, modification, equivalent replacement, improvement for being made etc. should be included in this hair
Within the protection scope of bright embodiment.
Claims (10)
1. a kind of database loads equalization methods, which comprises the following steps:
It is recorded Region according to the generation of load distribution situation from source Region server migration to mesh in database host node
Mark the migration plan of Region server；
Pass through remote procedure call service offline Region in the source Region server according to the migration plan,
And the online Region in the target Region server；
The data cached block for being moved to the target Region server in the block caching of the source Region server is delayed
In depositing；
The server where the Region is revised as the mesh from the source Region server on first table of database
Mark Region server.
2. the method according to claim 1, wherein the migration plan is by the Region, the source
The vector of Region server and target Region server composition.
3. the method according to claim 1, wherein the offline Region in the source Region server
Further include: while the Region is removed from the online Region list of the source Region server.
4. the method according to claim 1, wherein online described in the target Region server
Region further include: while the Region is added into the online Region list of the target Region server.
5. the method according to claim 1, wherein the source Region server and target Region clothes
It is engaged in the memory of device including that multiple write-ins storage Region and block cache Region, described piece of caching Region is by the source
The multiple Region in Region server or the target Region server is shared.
6. according to the method described in claim 5, it is characterized in that, by the caching in the block caching of the source Region server
It includes: to cache the block of the source Region server that data, which are moved in the block caching of the target Region server,
The data cached block caching for being moved to the target Region server relevant to the Region in Region
In Region.
7. according to the method described in claim 5, it is characterized in that, the multiple write-in stores Region by the source Region
Multiple Region in server or the target Region server are independently occupied.
8. the method according to the description of claim 7 is characterized in that offline described in the source Region server
Region, and under the online Region includes: in the source Region server in the target Region server
The write-in of Region described in line stores Region, and writes described in the online Region in the target Region server
Enter to store Region.
9. a kind of database loads balancer characterized by comprising
Schedule module takes Region from source Region for being recorded in database host node according to the generation of load distribution situation
Business device moves to the migration plan of target Region server；
Upper downline module, for passing through remote procedure call service in the source Region server according to the migration plan
The offline Region, and the online Region in the target Region server；
Cache module, for data cached in the block of source Region server caching to be moved to the target Region
In the block caching of server；
Meta data block, for servicing the server where the Region from the source Region on first table of database
Device is revised as the target Region server.
10. a kind of database characterized by comprising
Processor；With
Memory, is stored with the program code that processor can be run, and said program code executes such as claim when being run
Database loads equalization methods described in any one of 1-8.
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| CN110888919A (en) * | 2019-12-04 | 2020-03-17 | 阳光电源股份有限公司 | HBase-based big data statistical analysis method and device |
| CN111143324A (en) * | 2019-12-20 | 2020-05-12 | 浪潮软件股份有限公司 | Kudu database data balancing system based on size and implementation method |
| CN112988703A (en) * | 2019-12-18 | 2021-06-18 | 中国移动通信集团四川有限公司 | Read-write request balancing method and device |
| CN116910016A (en) * | 2023-09-14 | 2023-10-20 | 交通运输部北海航海保障中心天津通信中心 | AIS data processing method |
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| CN110888919B (en) * | 2019-12-04 | 2023-06-30 | 阳光电源股份有限公司 | HBase-based method and device for statistical analysis of big data |
| CN112988703A (en) * | 2019-12-18 | 2021-06-18 | 中国移动通信集团四川有限公司 | Read-write request balancing method and device |
| CN112988703B (en) * | 2019-12-18 | 2022-09-16 | 中国移动通信集团四川有限公司 | Read-write request balancing method and device |
| CN111143324A (en) * | 2019-12-20 | 2020-05-12 | 浪潮软件股份有限公司 | Kudu database data balancing system based on size and implementation method |
| CN111143324B (en) * | 2019-12-20 | 2023-05-02 | 浪潮软件股份有限公司 | Kudu database data equalization system based on size and implementation method |
| CN116910016A (en) * | 2023-09-14 | 2023-10-20 | 交通运输部北海航海保障中心天津通信中心 | AIS data processing method |
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Application publication date: 20191129 |