CN106446031A - Quick node replacement method for large-scale cluster database - Google Patents
Quick node replacement method for large-scale cluster database Download PDFInfo
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- CN106446031A CN106446031A CN201610777769.3A CN201610777769A CN106446031A CN 106446031 A CN106446031 A CN 106446031A CN 201610777769 A CN201610777769 A CN 201610777769A CN 106446031 A CN106446031 A CN 106446031A
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- synchronization
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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
- G06F16/21—Design, administration or maintenance of databases
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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
- G06F16/273—Asynchronous replication or reconciliation
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Abstract
The invention provides a quick node replacement method for a large-scale cluster database. The method comprises the following steps of setting an unavailable state of a node; installing an installation program of a new node replacing the node, and performing new node and cluster configuration; setting a cluster mode to be read-only, and judging whether the execution of write operation is finished or not; after the execution of the write operation is finished, synchronizing metadata; and after the metadata synchronization is finished, recovering the cluster mode to be normal, setting a synchronous data flag for user data, and performing user data synchronization according to the synchronous data flag. According to the quick node replacement method for the large-scale cluster database, the data node replacement process is divided into two steps of metadata synchronization and user data synchronization; a user is prohibited to perform the write operation on the database during the metadata synchronization period, and the user is allowed to perform all database operations during the user data synchronization period; and the data volume of database metadata is not large in general, and the synchronization time is short, so that the time in which the user cannot perform the write operation on the database can be shortened to the maximum extent.
Description
Technical field
The present invention relates to database node replaces field, more particularly, to a kind of large-scale cluster database fast Node is replaced
Method.
Background technology
With the expansion of Cluster Database scale, the quantity of clustered node is continuously increased, and the damage of clustered node can become
One common phenomenon.Simultaneously with the increase of data volume, the computing capability of individual node and storage capacity also can become bottleneck.
It is required for being replaced upgrading to clustered node under both of these case, enable cluster normal work, the allusion quotation of this exactly present invention
Type application scenarios.
Company-data node can also be replaced with manual method, the problem of so operation is:
One, need to stop current cluster, the business operation interrupting user is waiting keeper to be replaced operation.
Two, when data volume is huge, taking of replacement data node is very big, and the service pause time of user also can be very
Long, this is insupportable for the higher user of some requirement of real-times.
Content of the invention
The invention solves the problems that above technical problem, provide a kind of large-scale cluster database fast Node replacement method.
For solving above-mentioned technical problem, the technical solution used in the present invention is:A kind of large-scale cluster database quickly saves
Point replacement method, comprises the following steps:
Setting node down state;
The installation procedure of the new node replacing described node is installed, carries out described new node and cluster configuration;
It is read-only for arranging described cluster mode, judges whether write operation executes and completes;
After the completion of write operation execution, synchronous metadata;
After the completion of described metadata synchronization, it is normal for recovering described cluster mode, arranges synchrodata to the data of user
Mark, carries out user data synchronization according to described synchrodata mark.
The present invention has the advantages and positive effects that:A kind of large-scale cluster database fast Node replacement method, will
Back end replacement process is divided into two steps to carry out:Metadata synchronization and user data synchronization.Forbid user during metadata synchronization
User is allowed to carry out all of database manipulation during carrying out write operation, user data synchronization to database.Database metadata
Data volume typically little, lock in time is short, can reduce user to greatest extent and database can not be carried out with time of write operation, energy
Back end in enough quick-replaceable large-scale cluster databases.
Specific embodiment
A kind of large-scale cluster database fast Node replacement method, comprises the following steps:
1) node down state is set, and shielding database, for the operation damaging node, reduces the nothing of database execution
Effect operation.
2) replace to install and simplify the installation process replacing node, and automatically configured, make new node and cluster compatible, no
User is needed to carry out by hand.
3) before node is replaced and carried out metadata synchronization, setting cluster mode is read-only first, stops cluster subsequently all of
Write operation, and wait current write operation execution to complete.After confirming that cluster does not have write operation, start first number of sync database
According to, after synchronously completing, synchrodata mark is arranged to the data of user, after being provided with, recover cluster mode be normal it is allowed to
User carries out any operation.Now can see that from cluster state company-data is inconsistent.
4), after the completion of metadata synchronization, automatically recover to carry out, according to the data syn-chronization mark of setting, the synchronization that user reads data
Operation, now any operation of not blocked user.After the completion of user data synchronization, company-data state consistency.
A kind of preferred forms of large-scale cluster database fast Node replacement method, if desired to one in cluster
Node is replaced, then carry out in accordance with the following steps:
Step 1:Find that a node damages or needs to replace, setting node state is unavailable (UNAVAILABLE).
Step 2:Prepare new machine, install and origin node identical operating system.
Step 3:Origin node machine is withdrawn from from cluster, the IP of configuration new node is the same with origin node.
Step 4:Execution node replaces order, and node is replaced.
Step 5:After replacing order success, check cluster state, when cluster state is recovered normal, check all of
User's table data is the same with before replacement.
Above embodiments of the invention are described in detail, but described content have been only presently preferred embodiments of the present invention,
It is not to be regarded as the practical range for limiting the present invention.All impartial changes made according to the scope of the invention and improvement etc., all should
Still belong within this patent covering scope.
Claims (1)
1. a kind of large-scale cluster database fast Node replacement method it is characterised in that:Comprise the following steps:
Setting node down state;
The installation procedure of the new node replacing described node is installed, carries out described new node and cluster configuration;
It is read-only for arranging described cluster mode, judges whether write operation executes and completes;
After the completion of write operation execution, synchronous metadata;
After the completion of described metadata synchronization, it is normal for recovering described cluster mode, arranges synchrodata mark to the data of user,
User data synchronization is carried out according to described synchrodata mark.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108984602A (en) * | 2018-06-05 | 2018-12-11 | 网易(杭州)网络有限公司 | A kind of database control method and Database Systems |
Citations (3)
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US20090043887A1 (en) * | 2002-11-27 | 2009-02-12 | Oracle International Corporation | Heartbeat mechanism for cluster systems |
CN102158540A (en) * | 2011-02-18 | 2011-08-17 | 广州从兴电子开发有限公司 | System and method for realizing distributed database |
CN102693324A (en) * | 2012-01-09 | 2012-09-26 | 西安电子科技大学 | Distributed database synchronization system, synchronization method and node management method |
-
2016
- 2016-08-31 CN CN201610777769.3A patent/CN106446031A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090043887A1 (en) * | 2002-11-27 | 2009-02-12 | Oracle International Corporation | Heartbeat mechanism for cluster systems |
CN102158540A (en) * | 2011-02-18 | 2011-08-17 | 广州从兴电子开发有限公司 | System and method for realizing distributed database |
CN102693324A (en) * | 2012-01-09 | 2012-09-26 | 西安电子科技大学 | Distributed database synchronization system, synchronization method and node management method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108984602A (en) * | 2018-06-05 | 2018-12-11 | 网易(杭州)网络有限公司 | A kind of database control method and Database Systems |
CN108984602B (en) * | 2018-06-05 | 2021-04-16 | 网易(杭州)网络有限公司 | Database control method and database system |
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Application publication date: 20170222 |