CN111913989A - Distributed application cache refreshing system and method, electronic equipment and storage medium - Google Patents
Distributed application cache refreshing system and method, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN111913989A CN111913989A CN202010542033.4A CN202010542033A CN111913989A CN 111913989 A CN111913989 A CN 111913989A CN 202010542033 A CN202010542033 A CN 202010542033A CN 111913989 A CN111913989 A CN 111913989A
- Authority
- CN
- China
- Prior art keywords
- cache
- refreshing
- partition
- module
- task
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000005192 partition Methods 0.000 claims abstract description 88
- 230000002093 peripheral effect Effects 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 3
- 238000007670 refining Methods 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 claims description 2
- 238000010276 construction Methods 0.000 abstract description 7
- 238000000638 solvent extraction Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009960 carding Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
Images
Classifications
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24552—Database cache management
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24553—Query execution of query operations
- G06F16/24554—Unary operations; Data partitioning operations
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides a distributed application cache refreshing system, which comprises a cache refreshing system, a cache storage unit and a message subscription and release module; the cache refreshing system consists of a cache management module, a cache refreshing module and a cache routing module. The invention relates to a distributed application cache refreshing method, an electronic device and a storage medium for executing the method. The cache refreshing node service can be dynamically and transversely expanded, a server can be selected and added according to the volume of the service, and the cache refreshing speed is greatly improved by combining a multithreading concurrent program and Redis Pipline operation; the cache partition avoids the influence on the service application operation cache during cache refreshing; cache layering is carried out, a data loading path is DB- > L1- > L2, a complex business cache is constructed based on the cache of L1, database reading is reduced, construction of the cache of L2 is greatly improved, and time consumption of cache construction is reduced; and developing a cache routing function component, preheating and switching a cache thread pool, and avoiding service jitter caused by cache partition switching.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to a distributed application cache refreshing system, a distributed application cache refreshing method, electronic equipment and a storage medium.
Background
With the business growth of the e-commerce platform, the volume of business data is gradually increased, and the data of the platform business is greatly increased in depth and breadth. In such a scenario, when the most basic data is changed, the upper layer service data depending on the basic data may be expired and invalid, and at this time, part of the service data needs to be cleaned and reconstructed.
In small and medium-sized systems, common centralized methods include: 1. the dependent cache is directly deleted, and the construction of the cache is automatically triggered when a request occurs. When the query finds that the cache does not exist, the method automatically triggers the database to query the associated data and regenerate a new cache. But this method has the problem of cache breakdown. 2. Enabling a dedicated cache refresh system, generating items relating to cache updates on a per-item basis and replacing expired and stale data. According to the scheme, risks caused by cache penetration are avoided, consistency is sacrificed, a refreshing task is overstocked when the number of updated caches is large, a large amount of dirty data is finally generated, and a business system also needs to perform a large amount of fault-tolerant processing aiming at the situation.
In any case, when the cache combination is too complex, the basic data and the hierarchy level on which the carding cache depends are difficult to process. It is also quite difficult to accurately locate the associated cache when the underlying data changes.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a distributed application cache refreshing system, which solves the problems that when cache combination is too complex, basic data and a hierarchy level which a cache depends on are difficult to comb, and when the basic data is changed, an associated cache is accurately positioned.
The invention provides a distributed application cache refreshing system, which comprises a cache refreshing system, a cache storage unit and a message subscription and release module; wherein the content of the first and second substances,
the cache refreshing system consists of a cache management module, a cache refreshing module and a cache routing module;
the cache management module is used for receiving the cache reconfiguration task, splitting, refining, distributing and detecting the full-quantity refreshing task, and issuing a cache switching notice to inform the cache route to switch after the task is refreshed;
the cache refreshing module is used for registering the message subscription and release module to the cache management module, acquiring a refreshing task item and performing cache refreshing operation;
the cache routing module is used for acquiring the current cache partition setting through the message subscription and release module, connecting to a cache connection pool in advance, and switching a cache reference group in real time according to the notification of the cache management module;
the cache storage unit is used for dividing a cache into a first partition and a second partition, the first partition provides cache query service for an application, the second partition is used for constructing the whole cache, and after the cache is refreshed, the purposes of the first partition and the second partition are switched;
the message subscription and publishing module is used for service registration service and discovery, and subscription and push of notification information.
Further, the cache refreshing module performs cache refreshing operation by using Java multithreading technology and Redis Pinine operation.
Further, the cache storage unit adopts an open-source Redis cluster to divide the Redis cache into a first partition and a second partition.
The distributed application cache refreshing method comprises the following steps:
the system comprises an initialization module, a cache management module, a cache refreshing module, a first partition and a second partition, wherein the first partition and the second partition are used for setting a cache storage unit;
establishing connection, namely establishing connection between the cache management module and the cache refreshing module, and preparing to receive a full-amount refreshing request;
confirming a refreshing condition, locking the cache management module when the peripheral management system calls the cache management module through an interface to trigger the refreshing of the full-amount cache, rejecting a new full-amount refreshing request, and resetting the first cache and the second cache of the first partition;
pushing a refreshing task, wherein the cache management module pushes task information of a first cache basic data cache of the first partition to the cache refreshing module;
the cache refreshing module receives a task of the first cache basic data cache of the first partition, reads data from a database according to the requirement of the task, and serializes the data to a first cache basic data cache library of the first partition after processing;
switching a cache thread, wherein after the cache management module detects that a first cache refreshing task of the first partition is completed, the cache management module switches a cache refreshing route to a second cache service cache layer of the first partition, and pushes a task cached by a second cache service of the first partition to the cache refreshing module;
the cache refreshing module receives a task of caching second cache service data of the first partition, reads data from a first cache basic data cache layer of the first partition according to task content, combines the data, and serializes the combined data to a second cache service data cache library of the first partition;
switching caches, wherein after the cache management module detects that the second cache of the first partition is refreshed, a route switching notification is issued through a subscription publishing component, the purposes of the first partition and the second partition are switched, and a full refresh lock is released;
and circularly refreshing the cache to prepare for receiving the next round of full refresh request.
Further, in the step of pushing the refresh task, the cache management module subdivides the task information of the first cache basic data cache of the first partition, and pushes the refresh task to the cache refresh module through a preset load balancing policy.
Further, in the step of switching the cache thread, the cache management module subdivides the task of the second cache service cache of the first partition and pushes the subdivided task to the cache refreshing module.
Further, the step of switching the cache further includes that the cache management module triggers a cache refresh check after detecting that the second cache of the first partition is refreshed, and issues a route switching notification through a subscription publishing component after confirming that the whole cache is refreshed and correct.
Further, the step of confirming the refresh condition further includes checking whether a refresh task is in progress when the peripheral management system calls the cache management module through the interface to trigger the refresh of the full amount of cache, and locking the cache management module after confirming that the refresh condition is satisfied.
An electronic device, comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing a distributed application cache refresh method.
A computer-readable storage medium having stored thereon a computer program for executing a distributed application cache refresh method by a processor.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a distributed application cache refreshing system, which comprises a cache refreshing system, a cache storage unit and a message subscription and release module; the cache refreshing system consists of a cache management module, a cache refreshing module and a cache routing module. The invention relates to a distributed application cache refreshing method. The invention further relates to an electronic device and a storage medium for performing the distributed application cache refreshing method. The cache refreshing node service can be dynamically and transversely expanded, a server can be selected and added according to the service volume, and the cache refreshing speed can be greatly improved by combining a multithreading concurrent program and Redis Pipline operation; the method comprises the following steps of cache partitioning and layering, wherein the cache partitioning avoids the influence on service application operation cache during cache refreshing; cache layering is carried out, a data loading path is DB- > L1- > L2, a complex business cache is constructed on the basis of the cache of L1, database reading is reduced, construction of the cache of L2 is greatly improved, and time consumption of cache construction is greatly reduced; and developing a cache routing function component, preheating the cache thread pool and switching the cache thread pool, and avoiding service jitter caused by cache partition switching.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram of a distributed application cache refresh system according to the present invention;
fig. 2 is a flowchart of a distributed application cache refreshing method according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
A distributed application cache refreshing system, as shown in fig. 1 and fig. 2, includes a cache refreshing system, a cache memory unit, and a message subscription and publication module; wherein the content of the first and second substances,
the cache refreshing system consists of a cache management module, a cache refreshing module and a cache routing module;
the cache management module is used for receiving the cache reconfiguration task, splitting, refining, distributing and detecting the full-quantity refreshing task, issuing a cache switching notice after the task is refreshed, and informing the cache routing to switch;
the cache refreshing module is used for registering the cache management module through the message subscribing and publishing module, acquiring a refreshing task item, and realizing high-performance cache refreshing operation by using Java multithreading technology and Redis Pinine operation;
the cache routing module is used for acquiring the current cache partition setting through the message subscription and release module, connecting to a cache connection pool in advance, and switching the cache reference group in real time according to the notification of the cache management module;
a cache storage unit, which divides a Redis cache into a first partition and a second partition by using an open-source Redis cluster, wherein in FIG. 1, the first partition is represented by an A partition, the second partition is represented by a B partition, the first partition provides a cache query service for an application, the second partition is used for constructing the whole cache, and after the cache refresh is completed, the purposes of the first partition and the second partition are switched;
and the message subscription and publishing module is used for registering and discovering services and subscribing and pushing notification information.
The distributed application cache refreshing method, as shown in fig. 2, includes the following steps:
the system comprises an initialization module, a cache management module, a cache refreshing module and a partition for setting a cache storage unit, wherein the initialization module initializes the cache management module and the cache refreshing module and comprises a first partition and a second partition, the first partition is a cache refreshing area, and the second partition is a service using area;
establishing connection, namely establishing connection between a cache management module and a cache refreshing module, specifically a master-worker (master-slave) relationship, and preparing to receive a full-quantity refreshing request;
confirming a refreshing condition, when a peripheral management system calls a Cache management module through an interface to trigger the refreshing of the full-amount Cache, firstly checking whether a refreshing task is in progress, locking the Cache management module after confirming that the refreshing condition is met, rejecting a new full-amount refreshing request, and resetting a first Cache (L1 Cache) and a second Cache (L2 Cache) of a first partition;
pushing a refreshing task, subdividing task information cached by L1 basic data by a cache management module, and pushing the refreshing task to a cache refreshing module by a preset load balancing strategy;
processing tasks, namely receiving tasks of the L1 basic data cache by a cache refreshing module, reading data from a database according to the needs of the tasks, and serializing the data to an L1 basic data cache library of a first partition after processing;
switching cache threads, switching a cache refreshing route to an L2 service cache layer after the cache management module detects that an L1 refreshing task is completed, subdividing the L2 service cache task, and pushing the subdivided L2 service cache task to a cache refreshing module;
combining data, wherein a cache refreshing module receives a task of L2 business data cache, reads data from an L1 basic data cache layer according to the task content, combines the data, and serializes the combined data to an L2 business data cache library of a first partition;
switching caches, triggering cache refreshing check after the cache management module detects that L2 of the first partition is refreshed, issuing a route switching notification through a subscription publishing component after the cache management module confirms that the whole cache is refreshed and correct, switching the purposes of the first partition and the second partition, namely, switching the service system from the first partition to the cache refreshing partition, switching the cache refreshing partition to the second partition, and releasing a whole refreshing lock;
and circularly refreshing the cache to prepare for receiving the next round of full refresh request.
An electronic device, comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing a distributed application cache refresh method.
A computer-readable storage medium having stored thereon a computer program for executing by a processor a distributed application cache refresh method.
The invention provides a distributed application cache refreshing system, which comprises a cache refreshing system, a cache storage unit and a message subscription and release module; the cache refreshing system consists of a cache management module, a cache refreshing module and a cache routing module. The invention relates to a distributed application cache refreshing method. The invention further relates to an electronic device and a storage medium for performing the distributed application cache refreshing method. The cache refreshing node service can be dynamically and transversely expanded, a server can be selected and added according to the service volume, and the cache refreshing speed can be greatly improved by combining a multithreading concurrent program and Redis Pipline operation; the method comprises the following steps of cache partitioning and layering, wherein the cache partitioning avoids the influence on service application operation cache during cache refreshing; cache layering is carried out, a data loading path is DB- > L1- > L2, a complex business cache is constructed on the basis of the cache of L1, database reading is reduced, construction of the cache of L2 is greatly improved, and time consumption of cache construction is greatly reduced; and developing a cache routing function component, preheating the cache thread pool and switching the cache thread pool, and avoiding service jitter caused by cache partition switching.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; those skilled in the art can readily practice the invention as shown and described in the drawings and detailed description herein; however, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the scope of the invention as defined by the appended claims; meanwhile, any changes, modifications, and evolutions of the equivalent changes of the above embodiments according to the actual techniques of the present invention are still within the protection scope of the technical solution of the present invention.
Claims (10)
1. Distributed application cache refreshing system, its characterized in that: the system comprises a cache refreshing system, a cache memory unit and a message subscription and release module; wherein the content of the first and second substances,
the cache refreshing system consists of a cache management module, a cache refreshing module and a cache routing module;
the cache management module is used for receiving the cache reconfiguration task, splitting, refining, distributing and detecting the full-quantity refreshing task, and issuing a cache switching notice to inform the cache route to switch after the task is refreshed;
the cache refreshing module is used for registering the message subscription and release module to the cache management module, acquiring a refreshing task item and performing cache refreshing operation;
the cache routing module is used for acquiring the current cache partition setting through the message subscription and release module, connecting to a cache connection pool in advance, and switching a cache reference group in real time according to the notification of the cache management module;
the cache storage unit is used for dividing a cache into a first partition and a second partition, the first partition provides cache query service for an application, the second partition is used for constructing the whole cache, and after the cache is refreshed, the purposes of the first partition and the second partition are switched;
the message subscription and publishing module is used for service registration service and discovery, and subscription and push of notification information.
2. The distributed application cache refresh system of claim 1, wherein: the cache refreshing module carries out cache refreshing operation by using Java multithreading technology and Redis Pinine operation.
3. The distributed application cache refresh system of claim 2, wherein: the cache storage unit divides a Redis cache into a first partition and a second partition by adopting an open-source Redis cluster.
4. The method for refreshing the distributed application cache is characterized by comprising the following steps of:
the system comprises an initialization module, a cache management module, a cache refreshing module, a first partition and a second partition, wherein the first partition and the second partition are used for setting a cache storage unit;
establishing connection, namely establishing connection between the cache management module and the cache refreshing module, and preparing to receive a full-amount refreshing request;
confirming a refreshing condition, locking the cache management module when the peripheral management system calls the cache management module through an interface to trigger the refreshing of the full-amount cache, rejecting a new full-amount refreshing request, and resetting the first cache and the second cache of the first partition;
pushing a refreshing task, wherein the cache management module pushes task information of a first cache basic data cache of the first partition to the cache refreshing module;
the cache refreshing module receives a task of the first cache basic data cache of the first partition, reads data from a database according to the requirement of the task, and serializes the data to a first cache basic data cache library of the first partition after processing;
switching a cache thread, wherein after the cache management module detects that a first cache refreshing task of the first partition is completed, the cache management module switches a cache refreshing route to a second cache service cache layer of the first partition, and pushes a task cached by a second cache service of the first partition to the cache refreshing module;
the cache refreshing module receives a task of caching second cache service data of the first partition, reads data from a first cache basic data cache layer of the first partition according to task content, combines the data, and serializes the combined data to a second cache service data cache library of the first partition;
switching caches, wherein after the cache management module detects that the second cache of the first partition is refreshed, a route switching notification is issued through a subscription publishing component, the purposes of the first partition and the second partition are switched, and a full refresh lock is released;
and circularly refreshing the cache to prepare for receiving the next round of full refresh request.
5. The distributed application cache refresh method of claim 4, wherein: in the step of pushing the refresh task, the cache management module subdivides the task information of the first cache basic data cache of the first partition, and pushes the refresh task to the cache refresh module through a preset load balancing strategy.
6. The distributed application cache refresh method of claim 5, wherein: in the step of switching the cache thread, the cache management module subdivides the task cached by the second cache service of the first partition and pushes the subdivided task to the cache refreshing module.
7. The distributed application cache refresh method of claim 4, wherein: the step of switching the cache further comprises that after the cache management module detects that the second cache of the first partition is refreshed, the cache refreshing check is triggered, and after the full cache refreshing is confirmed and is correct, the route switching notification is issued through a subscription issuing component.
8. The distributed application cache refresh method of claim 4, wherein: and the step of confirming the refresh condition further comprises the steps of checking whether a refresh task is in progress or not when the peripheral management system calls the cache management module through an interface to trigger the refresh of the full amount of cache, and locking the cache management module after the refresh condition is satisfied.
9. An electronic device, characterized by comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for carrying out the method of any one of claims 4-8.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is executed by a processor for performing the method according to any of claims 4-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010542033.4A CN111913989A (en) | 2020-06-15 | 2020-06-15 | Distributed application cache refreshing system and method, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010542033.4A CN111913989A (en) | 2020-06-15 | 2020-06-15 | Distributed application cache refreshing system and method, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111913989A true CN111913989A (en) | 2020-11-10 |
Family
ID=73237980
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010542033.4A Pending CN111913989A (en) | 2020-06-15 | 2020-06-15 | Distributed application cache refreshing system and method, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111913989A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112749197A (en) * | 2021-01-12 | 2021-05-04 | 中国平安财产保险股份有限公司 | Data fragment refreshing method, device, equipment and storage medium |
| CN114490744A (en) * | 2021-12-13 | 2022-05-13 | 中企云链（北京）金融信息服务有限公司 | Data caching method, storage medium and electronic device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6418515B1 (en) * | 1998-04-22 | 2002-07-09 | Kabushiki Kaisha Toshiba | Cache flush unit |
| CN1801740A (en) * | 2004-12-13 | 2006-07-12 | 英特尔公司 | Method, system and device of resource dynamic relocation |
| US20090271573A1 (en) * | 2008-04-28 | 2009-10-29 | Kannan Shivkumar | Partitioned management data cache |
| US20110161290A1 (en) * | 2009-12-30 | 2011-06-30 | Sybase, Inc. | Data caching for mobile applications |
| WO2016019753A1 (en) * | 2014-08-08 | 2016-02-11 | 华为技术有限公司 | Refresh control method and apparatus for display device |
| CN105357314A (en) * | 2015-12-03 | 2016-02-24 | 厦门速卖通网络科技有限公司 | Fixed point distributed cache system and cache method thereof |
| CN107689977A (en) * | 2016-08-05 | 2018-02-13 | 厦门雅迅网络股份有限公司 | Distributed caching and the method for routing and its system of push |
| CN108182152A (en) * | 2017-11-28 | 2018-06-19 | 深圳市丰巢科技有限公司 | A kind of local cache based on Redis refreshes implementation method and device |
-
2020
- 2020-06-15 CN CN202010542033.4A patent/CN111913989A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6418515B1 (en) * | 1998-04-22 | 2002-07-09 | Kabushiki Kaisha Toshiba | Cache flush unit |
| CN1801740A (en) * | 2004-12-13 | 2006-07-12 | 英特尔公司 | Method, system and device of resource dynamic relocation |
| US20090271573A1 (en) * | 2008-04-28 | 2009-10-29 | Kannan Shivkumar | Partitioned management data cache |
| US20110161290A1 (en) * | 2009-12-30 | 2011-06-30 | Sybase, Inc. | Data caching for mobile applications |
| WO2016019753A1 (en) * | 2014-08-08 | 2016-02-11 | 华为技术有限公司 | Refresh control method and apparatus for display device |
| CN105357314A (en) * | 2015-12-03 | 2016-02-24 | 厦门速卖通网络科技有限公司 | Fixed point distributed cache system and cache method thereof |
| CN107689977A (en) * | 2016-08-05 | 2018-02-13 | 厦门雅迅网络股份有限公司 | Distributed caching and the method for routing and its system of push |
| CN108182152A (en) * | 2017-11-28 | 2018-06-19 | 深圳市丰巢科技有限公司 | A kind of local cache based on Redis refreshes implementation method and device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112749197A (en) * | 2021-01-12 | 2021-05-04 | 中国平安财产保险股份有限公司 | Data fragment refreshing method, device, equipment and storage medium |
| CN112749197B (en) * | 2021-01-12 | 2024-04-05 | 中国平安财产保险股份有限公司 | Data fragment refreshing method, device, equipment and storage medium |
| CN114490744A (en) * | 2021-12-13 | 2022-05-13 | 中企云链（北京）金融信息服务有限公司 | Data caching method, storage medium and electronic device |
| CN114490744B (en) * | 2021-12-13 | 2024-04-26 | 中企云链股份有限公司 | Data caching method, storage medium and electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8019945B2 (en) | System and method for transactional cache | |
| JP5296615B2 (en) | Distributed transaction recovery system and method | |
| US9621409B2 (en) | System and method for handling storage events in a distributed data grid | |
| CN107689977B (en) | Routing method and system for distributed caching and pushing | |
| CA2435388C (en) | Partitioning ownership of a database among different database servers to control access to the database | |
| US9460143B2 (en) | Methods, systems, and computer readable media for a multi-view data construct for lock-free operations and direct access | |
| CN111913989A (en) | Distributed application cache refreshing system and method, electronic equipment and storage medium | |
| CN112153133B (en) | Data sharing method, device and medium | |
| US11663237B2 (en) | Method and system for data handling | |
| CN104750757B (en) | A kind of date storage method and equipment based on HBase | |
| US9785697B2 (en) | Methods and apparatus for implementing a distributed database | |
| CN112162846A (en) | Transaction processing method, device and computer readable storage medium | |
| CN112039970A (en) | Distributed business lock service method, server, system and storage medium | |
| CN108111325A (en) | A kind of resource allocation methods and device | |
| CN101800763A (en) | hybrid locking using network and on-disk based schemes | |
| US20090100436A1 (en) | Partitioning system including a generic partitioning manager for partitioning resources | |
| US8996484B2 (en) | Recursive lock-and-propagate operation | |
| CN116150160A (en) | Adjustment method and device for database cluster processing nodes and storage medium | |
| CN113726546B (en) | Configuration method, device, system, computing equipment and storage medium | |
| CN103905512B (en) | A kind of data processing method and equipment | |
| US8266634B2 (en) | Resource assignment system with recovery notification | |
| US8028002B2 (en) | Naming service implementation in a clustered environment | |
| CN113127444B (en) | Data migration method, device, server and storage medium | |
| CN108351801A (en) | Multi version removes manager | |
| CA2619778A1 (en) | Method and apparatus for sequencing transactions globally in a distributed database cluster with collision monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |