CN110457181A - A kind of the log method for optimization analysis and device of database - Google Patents
A kind of the log method for optimization analysis and device of database Download PDFInfo
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- CN110457181A CN110457181A CN201910713092.0A CN201910713092A CN110457181A CN 110457181 A CN110457181 A CN 110457181A CN 201910713092 A CN201910713092 A CN 201910713092A CN 110457181 A CN110457181 A CN 110457181A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/1805—Append-only file systems, e.g. using logs or journals to store data
- G06F16/1815—Journaling file systems
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The present invention relates to database journal analysis technical fields, disclose a kind of log method for optimization analysis of database, for analyzing the log of the database container comprising multiple plug-in's data libraries, the following steps are included: creation is equal with plug-in's data library quantity and multiple logs correspondingly capture thread, creation virtual log captures thread；The archive log that thread captures the database container is captured by the virtual log；The ownership of each log recording in the archive log is identified, and each log recording is delivered to the log belonging to it and captures thread；Each log capture thread parses corresponding log recording.The present invention, which has, avoids log redundancy from reading, and reduces disk read-write pressure, accelerates the technical effect of database synchronization efficiency.
Description
Technical field
The present invention relates to database journal analysis technical fields, and in particular to a kind of log method for optimization analysis of database
And device.
Background technique
For Oracle as database software, application range is very extensive, and wherein Oracle12c is mentioned as its more recent version
The concept of CDB and PDB are gone out.CDB full name is Container Database, i.e. database container, it is made of multiple PDB,
And it is managed collectively.PDB full name is Pluggable Database, i.e. plug-in's data library, its composition portion as database container
Point, it can enter from database container at any time and exit, and not influence database and service is externally provided.Due to this different data
The introducing of library type causes traditional database journal analysis method not to be very suitable for.Traditional database journal analysis side
Method can provide individual log analysis thread for each database, if as soon as having multiple PDB in CDB, then needing every
The log analysis thread of a PDB, which all goes to read, parses the corresponding log of this PDB, and the archive log of actual resolved is same
Part, this has resulted in the waste of resource, log analysis efficiency is reduced, especially in the case where a CDB has multiple PDB.
Since CDB is made of multiple PDB, and its Log Administration System is only for CDB, in common database journal trapping module just
A log trapping module must be provided for each PDB to be read out it, parse, delete and be not belonging in resolving
The part of oneself.But such log acquisition mode, there are a very distinct issues, is exactly that redundancy is read, is only reading
After taking all logs, each trapping module can just filter out the part for being not belonging to oneself；In such design, disk is caused
The pressure of read-write, is unfavorable for the operation of server, is also unfavorable for database synchronization efficiency.
Summary of the invention
It is an object of the invention to overcome above-mentioned technical deficiency, the log method for optimization analysis and dress of a kind of database are provided
It sets, solves redundancy when database container log analysis in the prior art and read, cause disk read-write pressure, be unfavorable for server fortune
Capable technical problem.
To reach above-mentioned technical purpose, technical solution of the present invention provides a kind of log method for optimization analysis of database,
For analyzing the log of the database container comprising multiple plug-in's data libraries, comprising the following steps:
It creates equal with plug-in's data library quantity and one-to-one multiple logs and captures thread, create virtual log
Capture thread；
The archive log that thread captures the database container is captured by the virtual log；
The ownership of each log recording in the archive log is identified, and each log recording is delivered to its institute
The log of category captures thread；
Each log capture thread parses corresponding log recording.
The present invention also provides a kind of logs of database to optimize analytical equipment, including processor and memory, described to deposit
It is stored with computer program on reservoir, when the computer program is executed by the processor, realizes the log of the database
Method for optimization analysis.
The present invention also provides a kind of computer storage mediums, are stored thereon with computer program, the computer program quilt
When processor executes, the log method for optimization analysis of the database is realized.
Compared with prior art, the beneficial effect comprise that the present invention creates virtual log capture thread first, specially
Door is read out archive log, and log recording is then delivered to corresponding log and captures thread, each plug-in's data library
Log capture thread parses the log recording of itself.By virtual log capture thread realize archive log reading with
And the distribution of log recording is delivered, the redundancy for reducing log is read, and reduces disk pressure, accelerates database synchronization efficiency.
Detailed description of the invention
Fig. 1 is the flow chart of one embodiment of log method for optimization analysis of database provided by the invention；
Fig. 2 is plug-in's data library log management schematic diagram in the prior art；
Fig. 3 be in the prior art log analysis when log read schematic diagram；
Fig. 4 is the log read distribution signal of one embodiment of log method for optimization analysis of database provided by the invention
Figure.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention 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.
Embodiment 1
As shown in Figure 1, the embodiment of the present invention 1 provides the log method for optimization analysis of database, include for analyzing
The log of the database container in multiple plug-in's data libraries, comprising the following steps:
S1, creation is equal with plug-in's data library quantity and multiple logs correspondingly capture thread, and creation is virtual
Log captures thread；
S2, the archive log that thread captures the database container is captured by the virtual log；
S3, the ownership of each log recording in the archive log is identified, and each log recording is delivered to
Log belonging to it captures thread；
S4, each log capture thread parse corresponding log recording.
Hereinafter referred to as database container is CDB, and abbreviation plug-in's data library is PDB.As shown in Fig. 2, can have in CDB more
A PDB, wherein there are root container PDB $ ROOT, seed receptacle a PDB $ SEED and multiple PDBS.All PDB are shared
One hardware system resource.Root container PDB $ ROOT is used to be managed collectively each PDB, seed receptacle PDB $ SEED conduct
The PDB being newly inserted into, the i.e. template of NEW PDB and exist.PDB is used to store database, and database can be inserted or extract.PDB
Although there is individual database datafile, its archive log is managed collectively by CDB, and is stored in identical journal file
In.
Since CDB is made of multiple PDB, and its Log Administration System is caught only for CDB using existing database journal
It obtains module just and must provide log capture thread for each PDB and it is read out, is parsed, deleted in resolving
Fall to be not belonging to the part of oneself, as shown in Figure 3.
As shown in figure 4, the present invention shares same database journal for more plug-in's data libraries existing in the prior art
Feature, for n plug-in's data library create corresponding n log capture thread PDB (1), PDB (2), PDB (n)
While, a log trapping module PDB (n+1) is fictionalized, specially archive log is read out；Virtual log captures thread
PDB (n+1) is responsible for the archive log in reading disk, then log recording is delivered to corresponding log and captures thread.Each PDB
Log capture thread would only receive itself log recording, be only responsible for parsing the log recording of its own.Pass through
The redundancy that the method first reduces log is read, and second reduces disk I/O pressure, accelerates the effect of database in phase
Rate.
Preferably, as shown in figure 4, being identified to the ownership of each log recording in the archive log, specifically:
Ownership identification is carried out according to the identifier ID in the plug-in's data library recorded in each log recording.
Virtual log trapping module is responsible for the archive log in reading disk, further according to PDB identifier ID to working as the day before yesterday
The ownership of will record is identified that the log for being delivered to PDB identical with the PDB identifier ID of current log record captures line
Journey.
Preferably, multiple logs equal and one-to-one with plug-in's data library quantity are created and capture thread, specifically:
The configuration file for reading the database container obtains the configuration information of the database container, according to the number
The archive file position that the database container is obtained according to the configuration information of storage capacity device, according to the filing of database container text
Part position creates the virtual log and captures thread.
Configuration file is read, the configuration information of all PDB is obtained；PDB archive file position is obtained according to the configuration information of PDB
It sets.
N log, which is created, according to the archive file position of n PDB captures thread, n log capture thread and each PDB mono- of n
One is corresponding.
Preferably, creation virtual log captures thread, specifically:
The configuration file of the database container is read, obtains the configuration information in each plug-in's data library, root is according to institute
The configuration information for stating plug-in's data library obtains the archive file position in the plug-in's data library, according to returning for the plug-in's data library
Files position creates the log and captures thread.
Configuration file is read, the configuration information of CDB is obtained；CDB archive file position is obtained according to the configuration information of CDB,
A virtual log capture thread is created, does not correspond to any PDB.
Each log capture thread parses corresponding log recording, specifically:
The structural data of the log recording is reduced to executable SQL text by table definition when according to initialization.
Due to only including the change to database data in the log of the database container comprising multiple plug-in's data libraries, no
Include SQL text.It would therefore be desirable to which the structured message provided according to log, restores executable SQL text.Analysis
Log field structure include: Redo byte address, record length, system change number, change date and time, change to
Amount etc..
Specifically, when data are synchronous, source database loading primary data to purpose client database, and will need to synchronize
Table define storage, source database read log, according to initialization when table define the structural data in log recording
It is reduced into executable SQL text, and is sent to purpose client database, purpose client database executes the SQL text of reduction, completes
Data synchronization process.
Embodiment 2
The embodiment of the present invention 2 provides the log optimization analytical equipment of database, including processor and memory, institute
It states and is stored with computer program on memory, when the computer program is executed by the processor, realize that any of the above is implemented
The log method for optimization analysis for the database that example provides.
Specifically, the log method for optimization analysis of database are as follows:
It creates equal with plug-in's data library quantity and one-to-one multiple logs and captures thread, create virtual log
Capture thread；
The archive log that thread captures the database container is captured by the virtual log；
The ownership of each log recording in the archive log is identified, and each log recording is delivered to its institute
The log of category captures thread；
Each log capture thread parses corresponding log recording.
The log of database provided by the invention optimizes analytical equipment, optimizes analysis side for realizing the log of database
Method, therefore, the log of the technical effect that the log method for optimization analysis of above-mentioned database has, database optimize analytical equipment
It is likewise supplied with, details are not described herein.
Embodiment 3
The embodiment of the present invention 3 provides computer storage medium, is stored thereon with computer program, the computer journey
When sequence is executed by processor, the log method for optimization analysis for the database that any of the above embodiment provides is realized.
Specifically, the log method for optimization analysis of database are as follows:
It creates equal with plug-in's data library quantity and one-to-one multiple logs and captures thread, create virtual log
Capture thread；
The archive log that thread captures the database container is captured by the virtual log；
The ownership of each log recording in the archive log is identified, and each log recording is delivered to its institute
The log of category captures thread；
Each log capture thread parses corresponding log recording.
Computer storage medium provided by the invention, it is therefore, above-mentioned for realizing the log method for optimization analysis of database
The technical effect that the log method for optimization analysis of database has, computer storage medium are likewise supplied with, and details are not described herein.
The above described specific embodiments of the present invention are not intended to limit the scope of the present invention..Any basis
Any other various changes and modifications that technical concept of the invention is made should be included in the guarantor of the claims in the present invention
It protects in range.
Claims (7)
1. the log method for optimization analysis of a kind of database, for analyzing the day of the database container comprising multiple plug-in's data libraries
Will, which comprises the following steps:
It creates equal with plug-in's data library quantity and one-to-one multiple logs and captures thread, creation virtual log capture
Thread；
The archive log that thread captures the database container is captured by the virtual log；
The ownership of each log recording in the archive log is identified, and each log recording is delivered to belonging to it
Log captures thread；
Each log capture thread parses corresponding log recording.
2. the log method for optimization analysis of database according to claim 1, which is characterized in that in the archive log
The ownership of each log recording identified, specifically:
Ownership identification is carried out according to the identifier in the plug-in's data library recorded in each log recording.
3. the log method for optimization analysis of database according to claim 1, which is characterized in that create multiple and plug-in unit number
According to library quantity, equal and one-to-one log captures thread, specifically:
The configuration file for reading the database container obtains the configuration information of the database container, according to the database
The configuration information of container obtains the archive file position of the database container, according to the archive file position of the database container
Set the creation virtual log capture thread.
4. the log method for optimization analysis of database according to claim 1, which is characterized in that creation virtual log capture
Thread, specifically:
The configuration file of the database container is read, the configuration information in each plug-in's data library is obtained, root is inserted according to described
The configuration information of part database obtains the archive file position in the plug-in's data library, according to the filing in plug-in's data library text
Part position creates the log and captures thread.
5. the log method for optimization analysis of database according to claim 1, which is characterized in that each log captures line
Journey parses corresponding log recording, specifically:
The structural data of the log recording is reduced to executable SQL text by table definition when according to initialization.
6. a kind of log of database optimizes analytical equipment, which is characterized in that including processor and memory, the memory
On be stored with computer program, when the computer program is executed by the processor, realize as described in claim 1-5 is any
Database log method for optimization analysis.
7. a kind of computer storage medium, is stored thereon with computer program, which is characterized in that the computer program is processed
When device executes, the log method for optimization analysis of database a method as claimed in any one of claims 1 to 5 is realized.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103678718A (en) * | 2013-12-31 | 2014-03-26 | 金蝶软件（中国）有限公司 | Database synchronization method and system |
| CN106415536A (en) * | 2014-03-10 | 2017-02-15 | 甲骨文国际公司 | Instantaneous unplug of pluggable database from one container database and plug into another container database |
| US20170116321A1 (en) * | 2015-10-23 | 2017-04-27 | Oracle International Corporation | Ability to group multiple container databases as a single container database cluster |
| US20170116278A1 (en) * | 2015-10-23 | 2017-04-27 | Oracle International Corporation | Implementing a logically partitioned data warehouse using a container map |
| US20170220271A1 (en) * | 2012-09-28 | 2017-08-03 | Oracle International Corporation | Thread groups for pluggable database connection consolidation in numa environment |
| CN107357883A (en) * | 2017-06-30 | 2017-11-17 | 北京奇虎科技有限公司 | Data migration method and device |
| CN107391720A (en) * | 2017-07-31 | 2017-11-24 | 郑州云海信息技术有限公司 | A kind of data summarization method and device |
| US20180048717A1 (en) * | 2016-08-12 | 2018-02-15 | Oracle International Corporation | System and method for supporting live addition of a tenant in a connection pool environment |
| CN107766408A (en) * | 2017-08-31 | 2018-03-06 | 西安交大捷普网络科技有限公司 | The storage method of audit log |
| CN107918621A (en) * | 2016-10-10 | 2018-04-17 | 阿里巴巴集团控股有限公司 | Daily record data processing method, device and operation system |
| CN108255623A (en) * | 2018-01-22 | 2018-07-06 | 深圳市卓讯信息技术有限公司 | Realize the data exchange monitoring method and device of thread inside and outside dual reconciliation mechanism |
| CN109241174A (en) * | 2018-06-26 | 2019-01-18 | 东软集团股份有限公司 | Method of data synchronization, device, readable storage medium storing program for executing and electronic equipment |
| CN109271448A (en) * | 2018-09-25 | 2019-01-25 | 武汉达梦数据库有限公司 | It is the data synchronous system and method for platform based on database |
| CN109656934A (en) * | 2018-11-19 | 2019-04-19 | 武汉达梦数据库有限公司 | Source oracle database DDL synchronous method and equipment based on log parsing |
| CN110019498A (en) * | 2017-08-14 | 2019-07-16 | 北京京东尚科信息技术有限公司 | Log synchronous method and device, storage medium, electronic equipment |
-
2019
- 2019-08-02 CN CN201910713092.0A patent/CN110457181B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170220271A1 (en) * | 2012-09-28 | 2017-08-03 | Oracle International Corporation | Thread groups for pluggable database connection consolidation in numa environment |
| CN103678718A (en) * | 2013-12-31 | 2014-03-26 | 金蝶软件（中国）有限公司 | Database synchronization method and system |
| CN106415536A (en) * | 2014-03-10 | 2017-02-15 | 甲骨文国际公司 | Instantaneous unplug of pluggable database from one container database and plug into another container database |
| US20170116321A1 (en) * | 2015-10-23 | 2017-04-27 | Oracle International Corporation | Ability to group multiple container databases as a single container database cluster |
| US20170116278A1 (en) * | 2015-10-23 | 2017-04-27 | Oracle International Corporation | Implementing a logically partitioned data warehouse using a container map |
| US20180048717A1 (en) * | 2016-08-12 | 2018-02-15 | Oracle International Corporation | System and method for supporting live addition of a tenant in a connection pool environment |
| CN107918621A (en) * | 2016-10-10 | 2018-04-17 | 阿里巴巴集团控股有限公司 | Daily record data processing method, device and operation system |
| CN107357883A (en) * | 2017-06-30 | 2017-11-17 | 北京奇虎科技有限公司 | Data migration method and device |
| CN107391720A (en) * | 2017-07-31 | 2017-11-24 | 郑州云海信息技术有限公司 | A kind of data summarization method and device |
| CN110019498A (en) * | 2017-08-14 | 2019-07-16 | 北京京东尚科信息技术有限公司 | Log synchronous method and device, storage medium, electronic equipment |
| CN107766408A (en) * | 2017-08-31 | 2018-03-06 | 西安交大捷普网络科技有限公司 | The storage method of audit log |
| CN108255623A (en) * | 2018-01-22 | 2018-07-06 | 深圳市卓讯信息技术有限公司 | Realize the data exchange monitoring method and device of thread inside and outside dual reconciliation mechanism |
| CN109241174A (en) * | 2018-06-26 | 2019-01-18 | 东软集团股份有限公司 | Method of data synchronization, device, readable storage medium storing program for executing and electronic equipment |
| CN109271448A (en) * | 2018-09-25 | 2019-01-25 | 武汉达梦数据库有限公司 | It is the data synchronous system and method for platform based on database |
| CN109656934A (en) * | 2018-11-19 | 2019-04-19 | 武汉达梦数据库有限公司 | Source oracle database DDL synchronous method and equipment based on log parsing |
Non-Patent Citations (1)
| Title |
|---|
| 杨永娇: "电网EM平台可插拔式PDB数据库资源池优化设计", 《自动化与仪器仪表》 * |
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