CN108595116A - Based on Oracle RAC company-data readwrite performance optimization methods - Google Patents
Based on Oracle RAC company-data readwrite performance optimization methods Download PDFInfo
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- CN108595116A CN108595116A CN201810271075.1A CN201810271075A CN108595116A CN 108595116 A CN108595116 A CN 108595116A CN 201810271075 A CN201810271075 A CN 201810271075A CN 108595116 A CN108595116 A CN 108595116A
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- oracle rac
- server
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- memory space
- oracle
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/061—Improving I/O performance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0629—Configuration or reconfiguration of storage systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/067—Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
Abstract
The invention discloses one kind being based on distributed storage Oracle RAC company-data readwrite performance optimization methods, includes the following steps:One, a part of memory space is divided in the server node of 2 or 2 or more Oracle Rac clusters;Two, drawn memory space is passed through into common Ethernet or infinite bandwidth(infiniband)High bandwidth low latency network operation iSCSI protocol carry has the server of database instance to other in Oracle Rac clusters;Three, the server in Oracle RAC is created by DM and polymerize identified iscsi disk, and realizes multi-route management.The present invention provides getting around network to the drawn space of the machine to carry out the ability that local direct read/write accesses, the influence of network bottleneck is reduced to greatest extent.
Description
Technical field
It is specifically a kind of based on distributed storage Oracle RAC company-datas read-write property the present invention relates to database field
It can optimization method.
Background technology
Current storage media(Such as:NVMe flash memory disks, PCI-E flash cards, polylith SSD disks etc.)Local IP access bandwidth, IOPS
Surmount common Ethernet, even higher than infinite bandwidth significantly(Infiniband)The transmission bandwidth and IOPS of network, especially exist
In the case of polylith storage medium, network bottleneck becomes apparent.
Invention content
In order to solve the above technical problems existing in the prior art, the present invention provides one kind being based on distributed storage
Oracle RAC company-data readwrite performance optimization methods, include the following steps:
One, a part of memory space is divided in the server node of 2 or 2 or more Oracle Rac clusters;
Two, drawn memory space is passed through into common Ethernet or infinite bandwidth(infiniband)High bandwidth low latency network is transported
Row iSCSI protocol carry has the server of database instance to other in Oracle Rac clusters;
Three, the server in Oracle RAC is created by DM and polymerize identified iscsi disk, and realizes multipath pipe
Reason.
Further, server where the memory space drawn does not have to directly access the memory space by any network.
Further, Oracle Rac clusters Servers-all node manages all memory spaces of institute's carry by ASM,
And configure the data redundancy of 2 or 3 copies.
Further, algorithm is read by local first and makes the identification of Oracle RAC servers, mark local medium, and examined
Survey data to be accessed whether there is in local medium, if any then preferentially being read from local medium.
The present invention provides getting around network to the drawn space of the machine to carry out the ability that local direct read/write accesses, to greatest extent
The influence for reducing network bottleneck.In Automatic Storage Management device(ASM)It is configured with 2 node R AC clusters of 2 copies and deposits automatically
Store up manager(ASM)It is configured in 3 node R AC clusters of 3 copies, can reach 100% effect locally read, because of each node
There is a complete data copy.In 3 node R AC clusters, under 10Gb/s Ethernet environment, enables local first and read work(
Can Oracle IOPS performances compared with have before not enabled 100% or more performance growth(Storage medium is NVMe disks), IO performances and
Conventional Oracle RAC clusters using the Infiniband exchange networks of 56Gb/s are substantially suitable.And as the NVMe per node
When number of disks increases, enabling the IO performances of the Oracle RAC clusters of this method can further increase, and surmount current use
The conventional Oracle RAC clustering performances of the Infiniband exchange networks of 56Gb/s.
Description of the drawings
Fig. 1 is the method topology schematic diagram of the present invention.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings.
As shown in Figure 1, the present invention based on distributed storage Oracle RAC company-data readwrite performance optimization method packets
Include following steps:
One, a part of memory space is divided in the server node of 2 or 2 or more Oracle Rac clusters;
Two, drawn memory space is passed through into common Ethernet or infinite bandwidth(infiniband)High bandwidth low latency network is transported
Row iSCSI protocol carry has the server of database instance to other in Oracle Rac clusters;
Three, the server in Oracle RAC is created by DM and polymerize identified iscsi disk, and realizes multipath pipe
Reason.
Server where the memory space drawn does not have to directly access the memory space by any network;Oracle Rac
Cluster Servers-all node manages all memory spaces of institute's carry by ASM, and configures the data redundancy of 2 or 3 copies.
Algorithm is read by local first and makes the identification of Oracle RAC servers, mark local medium, and is detected and be intended to access
Data whether there is in local medium, if any then preferentially being read from local medium.
Claims (4)
1. one kind being based on distributed storage Oracle RAC company-data readwrite performance optimization methods, include the following steps:
One, a part of memory space is divided in the server node of 2 or 2 or more Oracle Rac clusters;
Two, drawn memory space is passed through into common Ethernet or infinite bandwidth(infiniband)High bandwidth low latency network is transported
Row iSCSI protocol carry has the server of database instance to other in Oracle Rac clusters;
Three, the server in Oracle RAC is created by DM and polymerize identified iscsi disk, and realizes multipath pipe
Reason.
2. it is based on distributed storage Oracle RAC company-data readwrite performance optimization methods as described in claim 1, it is special
Sign is:Server where the memory space drawn does not have to directly access the memory space by any network.
3. it is based on distributed storage Oracle RAC company-data readwrite performance optimization methods as described in claim 1, it is special
Sign is:Oracle Rac cluster Servers-all nodes manage all memory spaces of institute's carry by ASM, and configure 2 or 3
The data redundancy of copy.
4. it is based on distributed storage Oracle RAC company-data readwrite performance optimization methods as described in claim 1, it is special
Sign is:Algorithm is read by local first and makes the identification of Oracle RAC servers, mark local medium, and detects number to be accessed
It whether there is according in local medium, if any then preferentially being read from local medium.
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CN201810271075.1A CN108595116B (en) | 2018-03-29 | 2018-03-29 | Cluster data read-write performance optimization method based on Oracle RAC |
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CN201810271075.1A CN108595116B (en) | 2018-03-29 | 2018-03-29 | Cluster data read-write performance optimization method based on Oracle RAC |
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CN108595116A true CN108595116A (en) | 2018-09-28 |
CN108595116B CN108595116B (en) | 2021-04-20 |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113111122A (en) * | 2021-03-08 | 2021-07-13 | 北京世纪安图数码科技发展有限责任公司 | Real estate registration data read-write separation method facing RAC cluster |
CN114356239A (en) * | 2021-12-30 | 2022-04-15 | 苏州浪潮智能科技有限公司 | Distributed storage IO unloading method, system, device and storage medium |
Citations (6)
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US7512707B1 (en) * | 2005-11-03 | 2009-03-31 | Adobe Systems Incorporated | Load balancing of server clusters |
CN102164177A (en) * | 2011-03-11 | 2011-08-24 | 浪潮(北京)电子信息产业有限公司 | Method, device and system for sharing storage pool by cluster |
CN102164161A (en) * | 2011-01-10 | 2011-08-24 | 清华大学 | Method and device for performing file layout extraction on parallel file system |
CN103595799A (en) * | 2013-11-18 | 2014-02-19 | 北京中创信测科技股份有限公司 | Method for achieving distributed shared data bank |
CN103873559A (en) * | 2014-02-13 | 2014-06-18 | 南京斯坦德通信股份有限公司 | Database all-in-one machine capable of realizing high-speed storage |
CN106686099A (en) * | 2017-01-03 | 2017-05-17 | 杭州沃趣科技股份有限公司 | Method of realizing active-active mode across machine rooms of OracleRAC database based on infiniband network |
-
2018
- 2018-03-29 CN CN201810271075.1A patent/CN108595116B/en not_active Expired - Fee Related
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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US7512707B1 (en) * | 2005-11-03 | 2009-03-31 | Adobe Systems Incorporated | Load balancing of server clusters |
CN102164161A (en) * | 2011-01-10 | 2011-08-24 | 清华大学 | Method and device for performing file layout extraction on parallel file system |
CN102164177A (en) * | 2011-03-11 | 2011-08-24 | 浪潮(北京)电子信息产业有限公司 | Method, device and system for sharing storage pool by cluster |
CN103595799A (en) * | 2013-11-18 | 2014-02-19 | 北京中创信测科技股份有限公司 | Method for achieving distributed shared data bank |
CN103873559A (en) * | 2014-02-13 | 2014-06-18 | 南京斯坦德通信股份有限公司 | Database all-in-one machine capable of realizing high-speed storage |
CN106686099A (en) * | 2017-01-03 | 2017-05-17 | 杭州沃趣科技股份有限公司 | Method of realizing active-active mode across machine rooms of OracleRAC database based on infiniband network |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113111122A (en) * | 2021-03-08 | 2021-07-13 | 北京世纪安图数码科技发展有限责任公司 | Real estate registration data read-write separation method facing RAC cluster |
CN114356239A (en) * | 2021-12-30 | 2022-04-15 | 苏州浪潮智能科技有限公司 | Distributed storage IO unloading method, system, device and storage medium |
CN114356239B (en) * | 2021-12-30 | 2023-08-29 | 苏州浪潮智能科技有限公司 | Distributed storage IO unloading method, system, equipment and storage medium |
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