CN107943870A - For improving the method and its equipment of distributed data base middleware stability - Google Patents
For improving the method and its equipment of distributed data base middleware stability Download PDFInfo
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Abstract
The invention discloses the method and its equipment for improving distributed data base middleware stability, the method includes the steps：S1, shields distributed transaction.The equipment is used for realization the method.It can lifting system stability, make its compatibility stronger.
Description
Technical field
The present invention relates to database and database middleware, and it is steady more particularly, to improve distributed data base middleware
Qualitatively method and its equipment.
Background technology
As Internet service amount develops rapidly, data volume surges, and unit MySQL can not meet Internet service performance need
Seeking, scale-up schemes improve performance by lifting hardware configuration at the same time, its scheme is expensive, can only also meet a period of time industry
Business amount, can not tackle the problem at its root, and industry uses scale-out schemes, by the way that data are carried out horizontal fractionation, allow data
It is balanced in the Duo Tai MySQL machines of backstage, whole MySQL clusters concurrent computation ability is lifted by increasing machine, to meet
The demand of internet fast development, its technological means are that table is divided in a point storehouse, wherein using MyCat as the distributed middleware technology of representative
It is the most typical.
However, still some problems can be run into during using MyCat：System stability can not ensure.
The content of the invention
In order to solve the above-mentioned technical problem, the present invention proposes a kind of for improving distributed data base middleware stability
Method and its equipment, it can lifting system stability, make its compatibility stronger.
To achieve these goals, the technical scheme is that：
Method for improving distributed data base middleware stability, including step：
S1, shields distributed transaction.
Further include step：
S2, consistency check is carried out to burst node table structure.
Further include step：
S3, obtains the support of sql fire walls.
Step S1 includes step：
S11, obtains the corresponding routing node of routing module of distributed data base middleware；
S12, if routing node meets setting condition, performs distributed transaction and intercepts, and set affairs interrupt identification；It is no
Then perform step S13；
S13, sql sentences are sent to rear end and are performed；
S14, according to the interrupt identification described in step S13, performs rollback operations.
The step S11 includes step：
S111, obtains the table burst field A values in sql sentences；
S112, according to the table burst field A values described in step S111, the route mould of calculating distributed data base middleware
The corresponding routing node of block.
The setting condition is：The routing node is multinode, and is burst table, and sql statement types are
INSERT/UPDATE/DELETE, and distributed transaction switch opens.
The step S2 includes step：
S21, inquiry table field definition and table index definition；
S22, Information Proofreading is carried out by the same literary name section definition and table index in step S21；
S23, if the result of the Information Proofreading described in step S22 is difference, table in distributed data base middleware
Structure correction verification module records difference results, and in check results return stage distributed data base middleware table structure correction verification module
Check results are arranged, then distributed data base middleware table structure correction verification module feeds back to client.
For improving the equipment of distributed data base middleware stability, including be stored with the computer of computer program can
Medium is read, described program is run for performing：
S1, shields distributed transaction；
S2, consistency check is carried out to burst node table structure；
S3, obtains the support of sql fire walls.
The beneficial effects of the invention are as follows：
1st, distributed transaction is shielded, is effectively avoided since distributed transaction causes serious collision problem and performance to be asked
Topic.
2nd, the uniformity of burst node table structure is checked, effectively avoid causes since burst node table structure is inconsistent
This node on inquiry can not walk normal optimiged index and influence execution efficiency, so as to drag the execution of slow whole sql, very
To some uncontrollable scenes of initiation.
3rd, sql fire walls are set up, improve the safety and stability of backstage MySQL examples.
Brief description of the drawings
Fig. 1 shows method flow diagram according to an embodiment of the present application.
Fig. 2 shows shielding distributed transaction flow chart according to an embodiment of the present application.
Fig. 3 shows fire wall workflow schematic diagram according to an embodiment of the present application.
Embodiment
In order to be better understood by technical scheme, 1- attached drawings 3 make furtherly the present invention below in conjunction with the accompanying drawings
It is bright.
As shown in Figure 1, the method for improving distributed data base middleware stability, including step：
S1, shields distributed transaction.
Point storehouse is divided after table, and original unit affairs may become distributed transaction (across the affairs of multiple nodes).When
The distributed transaction realized inside preceding MyCat is weak consistency, can not ensure strong consistency.Also, distributed transaction has can
Serious collision problem and performance issue can be caused.There are problem based on above-mentioned, it would be desirable to distributed transaction is shielded, to refuse
Exhausted any business uses distributed transaction.
As shown in Fig. 2, shielding distributed transaction includes step：
1, a sql parse each object in sql sentences (table, row, burst by the druid parser of MyCat-X
Field A values)
Example：
Definition table t1 has two row col_1, col_2, wherein row col_1 is burst field, slicing algorithm nodex=col_
(modulus is a kind of slicing algorithms of MyCat-X, and MyCat-X supports a variety of bursts to calculate for back-end data base example number by 1%N, N
Method), nodex is burst node correspondence database db, that is, sql issues the database D B of execution.
Concrete configuration is as follows in MyCat-X：
A. table defines：
<Table name=" t1 " primaryKey=" col_1 " dataNode=" node $ 1~4 " rule=" mod-
4_col_1"/>
B. burst rule：
Using col_1 as burst field
C. slicing algorithm：
Modulus node_x=col_1%N, wherein N=4
<Function name=" mod-4 " class="
org.opencloudb.route.function.PartitionByMod">
<Property name=" count ">4</property>
</function>
So sql sentences：
Select col_1, col_2from t1where col_1=1000
It is as follows that object is obtained by druid parser：
Table：t1
Row：col_1、col_2
Burst field：Col_1 values 1000
2, table burst field col_1 (as above example) in sql is obtained by 1 step, the routing module of MyCat-X, which uses, to be determined
The slicing algorithm (node=col_1%N) of justice calculates corresponding routing node node1.
By the table burst field A values, the routing module of MyCat-X calculates correspondence using the slicing algorithm of definition
Routing node；Slicing algorithm is to be used as algorithm parameter using literary name section A values.MyCat-X slicing algorithms：Support it is a variety of, such as：
Modulus slicing algorithm；A%N=I；Here A corresponding fields value；N is burst number of nodes；I corresponds to the node of route.
In 3, MyCat-X routing module judge sql issue whether multinode
If 3.1 multinodes and being burst table and sql statement types are INSERT/UPDATE/DELETE, if distributed
Affairs switch opens, then performs distributed formula affairs and intercept, and sets affairs interrupt identification, otherwise performs step 4
As above in example：
T1 is burst table by with definition, wherein dataNode=node $ 1~4, representing table t1 in data fragmentation node；
All exist on node $ 1~4, be burst table, its sql is specifically performed, it is necessary to MyCat-X on which burst
Routing module determines.
Example：INSERT INTO t1(col_2)value(‘zhangsan’)；
It is INSERT sentences but judges without band burst field, when MyCat-X routing modules calculates the sql nodes to be performed
Defined according to dataNode=node $ 1~4, can be in node1, node2, node3, node4 issues sql execution at the same time, is across more
Burst node performs, and is distributed transaction.
Example：UPDATE t1 SET col_2=' lisi '；
It is UPDATE statement but judges without band burst field, when MyCat-X routing modules calculates the sql nodes to be performed
Defined according to dataNode=node $ 1~4, can be in node1, node2, node3, node4 issues sql execution at the same time, is across more
Burst node performs, and is distributed transaction.
Example：DELETE FROM t1；
It is DELETE sentences but judges without band burst field, when MyCat-X routing modules calculates the sql nodes to be performed
Defined according to dataNode=node $ 1~4, can be in node1, node2, node3, node4 issues sql execution at the same time, is across more
Burst node performs, and is distributed transaction.
If the routing node is multinode, and is burst table and sql statement types are INSERT/UPDATE/
DELETE：If distributed transaction switch opens, perform distributed transaction and intercept, and affairs interrupt identification is set, otherwise
Perform step 4.
3.2 single nodes then perform direct step 4；
4th, sql is sent to rear end to perform.
5th, interrupt identification is set according to 3.1 steps, determines whether to perform rollback operations.
The rear end is the database of subordinate in MyCat-X.Rear end described herein is what MyCat-X was managed
MySQL database.
According to the interrupt identification, rollback operations are performed.
S2, " detection burst node table structural integrity " administration order is set up to dividing in the management port of the MyCat-X
Piece node table structure carries out consistency check.
MyCat-X is the distributed data base middleware improved after stability.As technical solution pair according to the present invention
Existing MyCat is improved rear acquired new distributed data base middleware, is to have done two based on community MyCat bases
Secondary exploitation, renames as MyCat-X.
Divide after table, the data of table must be fallen on multiple back end, and at this time table definition also just there are more parts.Although
The modification that we can perform the establishment of DDL carry out tables by this main entrance of mycat-x and table defines, is existed with reaching a point table
Definition on each node reaches consistent.But because some manual operations, table structure may be changed temporarily in the development phase and determined
Justice, and not changed by mycat-x main entrances.So, be at this time possible to generation table structure define it is inconsistent.Assuming that
An index for being used for Optimizing Queries is created on point table, then this index of the table on development phase some burst is by people
For modification, cause the inquiry on this node can not walk normal optimiged index and influence execution efficiency, then this when will
The execution of slow whole sql is dragged, even triggers some uncontrollable scenes.
In order to avoid the generation of the above problem, increase an administration order check in management port (9066 port)
table structure consistency for[schemaName]；(MySQL data are corresponded to for detecting burst node
A DB example in storehouse) (including global table and burst table) table structure uniformity.For there is inconsistent phenomenon, we
The detailed prompting of inconsistent part will be returned to, return to client, facilitate related personnel to be positioned.
Realize step：
1. in mysql metadatabases information_schema by standard sql sentence inquiry tables define field and
Table index defines, and wherein tableNameSet is the sublist set to be verified.
Standard sql sentences difference is as follows：
# inquiry table field definitions
select
table_schema,
table_name,
column_name,
column_type,
is_nullable,
column_default,
extra
from information_schema.columns
where table_schema in(:schemaNameSet)and table_name in(:
tableNameSet)；
# look-up table index defines
select
table_schema,
table_name,
column_name,
index_name,
seq_in_index,
collation,
index_type
from information_schema.statistics
where table_schema in(:schemaNameSet)and table_name in(:
tableNameSet)；
2. information compares, Information Proofreading is carried out to the same literary name section definition and table index in last step.
Assuming that table tb1 is distributed to 3 nodes, then the literary name section definition that we obtain shares 3 parts, compares rank in information
Section, produces difference if defined for same literary name section, these differences is grouped displaying and (specifically look at following use
Example).Certainly the field newly increased that must also be in Test database table and the field deleted.
3. check results return
If table structure correction verification module (the i.e. MyCat-X tables knot in information comparison phase generation difference, MyCat-X
Structure correction verification module) difference results are recorded, and arrange verification knot in check results return stage MyCat-X table structures correction verification module
Fruit, then MyCat-X tables structure correction verification module feed back to client.
S3, by setting sql fire walls, to obtain the support of sql fire walls.
As shown in figure 3, the purpose of SQL Firewalls is to lift the safety and stability of backstage MySQL examples,
By the way of rule-based (carry rule by druid parser and be shown in Table 1- tables 2) and blacklist, pass through SQL fire walls pair
SQL progress sql into mycat-x parses each object, is judged with druid parser rules, meets rule
, sql characters are judged whether inside black and white lists, can so be intercepted and be met rule or the SQL inside blacklist, not allow
Risky SQL is performed on the MySQL DB back end of rear end, and intercept information directly is output to Client-Prompt user,
The safety and stability of MySQL database example is ensured to a certain extent.
The workflow of fire wall is：
1st, the sql sentences that app/web/mysql client are sended over, during by mycat-x, transfer to druid
Parser modules parse sql objects, and examine whether the sql needs to be intercepted according to the rules of table 1- tables 2.
2nd, need to intercept, then intercept information is directly returned to user.It need not intercept and perform step 3.
3rd, allow sql to pass through routing module, judge sql characters whether in blacklist list, if, sql is intercepted, will
Intercept information feeds back to user.Otherwise step 4 is performed.
4th, sql to rear end DB execution is issued.
5th, the result set performed in above-mentioned steps is correctly returned into user.
Table 1
Config option briefly explains：
Table 2
Regular configuration attribute explanation is intercepted, Mycat SQL firewall rules are supported as follows at present：
For improving the equipment of distributed data base middleware stability, including be stored with the computer of computer program can
Medium is read, described program is run for performing：
S1, shields distributed transaction；
S2, consistency check is carried out to burst node table structure；
S3, obtains the support of sql fire walls.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to the technology that the particular combination of above-mentioned technical characteristic forms
Scheme, while should also cover in the case where not departing from the inventive concept, carried out by above-mentioned technical characteristic or its equivalent feature
The other technical solutions for being combined and being formed.Such as features described above has similar work(with (but not limited to) disclosed herein
The technical solution that the technical characteristic of energy is replaced mutually and formed.
Claims (8)
1. the method for improving distributed data base middleware stability, it is characterised in that including step：
S1, shields distributed transaction.
2. the method according to claim 1 for improving distributed data base middleware stability, it is characterised in that also
Including step：
S2, consistency check is carried out to burst node table structure.
3. the method according to claim 1 for improving distributed data base middleware stability, it is characterised in that also
Including step：
S3, obtains the support of sql fire walls.
4. the method according to claim 1 for improving distributed data base middleware stability, it is characterised in that step
Rapid S1 includes step：
S11, obtains the corresponding routing node of routing module of distributed data base middleware；
S12, if routing node meets setting condition, performs distributed transaction and intercepts, and set affairs interrupt identification；Otherwise hold
Row step S13；
S13, sql sentences are sent to rear end and are performed；
S14, according to the interrupt identification described in step S13, performs rollback operations.
5. the method according to claim 4 for improving distributed data base middleware stability, it is characterised in that institute
Stating step S11 includes step：
S111, obtains the table burst field A values in sql sentences；
S112, according to the table burst field A values described in step S111, the routing module pair of calculating distributed data base middleware
The routing node answered.
6. the method according to claim 4 for improving distributed data base middleware stability, it is characterised in that institute
Stating setting condition is：The routing node is multinode, and is burst table, and sql statement types are INSERT/UPDATE/
DELETE, and distributed transaction switch opens.
7. the method according to claim 2 for improving distributed data base middleware stability, it is characterised in that institute
Stating step S2 includes step：
S21, inquiry table field definition and table index definition；
S22, Information Proofreading is carried out by the same literary name section definition and table index in step S21；
S23, if the result of the Information Proofreading described in step S22 is difference, table structure in distributed data base middleware
Correction verification module records difference results, and is arranged in check results return stage distributed data base middleware table structure correction verification module
Check results, then distributed data base middleware table structure correction verification module feed back to client.
8. the equipment for improving distributed data base middleware stability, including it is stored with the computer-readable of computer program
Medium, it is characterised in that described program is run for performing：
S1, shields distributed transaction；
S2, consistency check is carried out to burst node table structure；
S3, obtains the support of sql fire walls.
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Cited By (3)
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| CN110059102A (en) * | 2019-04-25 | 2019-07-26 | 四川师范大学 | The method for manipulating adaptation resolver based on isomorphism type distributed data base integration CRUD |
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Application publication date: 20180420 |
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