CN111324633A - Block chain transaction distributed caching method, system, equipment and storage medium - Google Patents
Block chain transaction distributed caching method, system, equipment and storage medium Download PDFInfo
- Publication number
- CN111324633A CN111324633A CN202010099005.XA CN202010099005A CN111324633A CN 111324633 A CN111324633 A CN 111324633A CN 202010099005 A CN202010099005 A CN 202010099005A CN 111324633 A CN111324633 A CN 111324633A
- Authority
- CN
- China
- Prior art keywords
- node
- transaction
- transaction data
- hash value
- caching
- 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 33
- 238000004364 calculation method Methods 0.000 claims abstract description 10
- 238000013507 mapping Methods 0.000 claims abstract description 8
- 238000004590 computer program Methods 0.000 claims description 9
- 238000013500 data storage Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 3
- 238000012856 packing Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 239000004065 semiconductor Substances 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
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
- G06F16/2255—Hash tables
-
- 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
Abstract
The invention discloses a distributed cache method, a distributed cache system, distributed cache equipment and a storage medium for blockchain transaction, and relates to the technical field of blockchain. Broadcasting the transaction data to each node in the blockchain network, and caching the transaction data on nodes corresponding to N node hash values closest to the transaction hash values in a key space; performing hash calculation on the unique identification information of each node in the block chain network to obtain a hash value of each node, and mapping each node into a key space according to the hash value of each node; n is more than or equal to 2, and N is a transaction cache redundancy value. The transaction broadcast redundancy can be reduced, the memory occupation is reduced, the cache processing speed is improved, and not all nodes of the whole network cache transaction data, so that the memory space occupation can be reduced.
Description
Technical Field
The invention relates to the technical field of blockchain and the like, in particular to a blockchain transaction distributed caching method, a system, equipment and a storage medium.
Background
When a transaction initiated in the current block chain system is not blocked, the transaction is broadcasted to each node of the whole network, each node caches the transaction in a memory of the corresponding node, and the whole node caching is performed on the transaction (including normal transaction and abnormal transaction) which is equivalent to a block-missing transaction. In fact, the transaction of the non-out-of-block is only a temporary cache state, and is stored in the disk of each node only when the real out-of-block is realized.
Each transaction without the block needs to occupy a corresponding memory of each node, assuming that the number of nodes in a certain block chain network is 5000, assuming that the size of one transaction is 256 bytes, after the transaction is broadcasted to each node of the whole network, each node caches the transaction, and the transaction occupies bytes up to 5000 × 256 — 1250k, and when 10240 transactions are cached in one block-out time, the memory occupies 1250k — 10240 — 12.5G; when the transaction cache of a single node exceeds a certain size, the problem that the block cannot be generated is caused.
Disclosure of Invention
1. Technical problem to be solved by the invention
In order to overcome the technical problems, the invention provides a distributed caching method, a distributed caching system, a distributed caching device and a distributed caching storage medium for blockchain transactions. Redundancy in the broadcast process can be reduced.
2. Technical scheme
In order to solve the problems, the technical scheme provided by the invention is as follows:
a blockchain transaction distributed caching method, comprising: broadcasting the transaction data to each node in the blockchain network, and caching the transaction data on nodes corresponding to N node hash values closest to the transaction hash values in a key space; performing hash calculation on the unique identification information of each node in the block chain network to obtain a hash value of each node, and mapping each node into a key space according to the hash value of each node; n is more than or equal to 2, and N is a transaction cache redundancy value.
The further improvement is that when the accounting node packs the blocks, the key space node is accessed through a KAD method according to the transaction hash value, transaction data are obtained, and the transaction data are written into the blocks.
In a further improvement, the method further comprises the following steps: and verifying the transaction data by each node in the block chain network, and caching the transaction hash value.
The further improvement is that a transaction data storage path routing table is stored in the key space, and when the block is packed by the accounting node, the key space node is accessed through the transaction data storage path routing table according to the transaction hash value to obtain the transaction data, and the transaction data is written into the block.
In a further refinement, the node receiving the transaction data performs the steps of: verifying the transaction data, caching the transaction hash value, judging whether the node hash value is N nodes closest to the transaction hash value in the key space, if so, caching the transaction data, and if not, not caching the transaction data; broadcasting the transaction data to other nodes.
A blockchain transaction distributed cache system, comprising: the broadcast module is used for broadcasting the transaction data to each node in the block chain network; the key space module is used for carrying out hash calculation on the unique identification information of each node in the block chain network to obtain the hash value of each node, and mapping each node into a key space according to the hash value of each node; the judging module is used for judging nodes corresponding to the N node hash values closest to the transaction hash values in the key space; the node comprises a cache module which is used for caching the transaction data.
The further improvement is that the accounting node of the packaging block also comprises a transaction data acquisition module which accesses the key space node through a KAD method according to the transaction hash value to acquire transaction data.
The system further comprises a verification module used for verifying the transaction data, and the cache module is also used for caching the transaction hash value, and the judgment module judges whether the node hash value is N nodes closest to the transaction hash value in the key space, if so, the cache module caches the transaction data, and if not, the cache module does not cache the transaction data.
An apparatus, the apparatus comprising: one or more processors; memory for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to perform a method as described above.
A storage medium storing a computer program which, when executed by a processor, implements a method as claimed in any one of the preceding claims.
3. Advantageous effects
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
according to the technical scheme, transaction broadcast redundancy can be reduced, memory occupation is reduced, cache processing speed is improved, and transaction data are not cached in all nodes of the whole network, so that memory space occupation can be reduced.
Drawings
Fig. 1 is a flowchart of a distributed caching method for blockchain transactions according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a key space for node hash value mapping according to an embodiment of the present invention.
FIG. 3 is a flow chart of method steps performed by a node receiving transaction data.
Fig. 4 is a schematic structural diagram of a distributed cache system for blockchain transactions according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a block chain transaction distributed cache system provided in the preferred embodiment of fig. 4.
FIG. 6 is a schematic diagram of an apparatus according to the present invention.
Detailed Description
For a further understanding of the present invention, reference will now be made in detail to the embodiments illustrated in the drawings.
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. The terms first, second, and the like in the present invention are provided for convenience of describing the technical solution of the present invention, and have no specific limiting effect, but are all generic terms, and do not limit the technical solution of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Example 1
A method for distributed caching of blockchain transactions, as shown in fig. 1, includes:
s101, broadcasting transaction data to each node in a block chain network; s102, caching the transaction data on nodes corresponding to N node hash values closest to the transaction hash values in a key space; performing hash calculation on the unique identification information of each node in the block chain network to obtain a hash value of each node, and mapping each node into a key space according to the hash value of each node; n is more than or equal to 2, and N is a transaction cache redundancy value.
And when the accounting node packs the blocks, accessing the key space node through a KAD (Kad) method according to the transaction hash value, acquiring transaction data, and writing the transaction data into the blocks. And when the block is packed by the accounting node, the key space node is accessed through the transaction data storage path routing table according to the transaction hash value to obtain transaction data, and the transaction data is written into the block.
Verifying transaction data by each node in the block chain network, and caching a transaction hash value; the node receiving the transaction data performs the following steps, as shown in fig. 3: s201, verifying transaction data, S202, caching transaction hash values, S203, judging whether the node hash values are N nodes nearest to the transaction hash values in a key space, if so, caching the transaction data, and if not, not caching the transaction data; and S204, broadcasting the transaction data to other nodes.
The node unique identification information refers to information that can uniquely identify a node, such as an ip and a port of the node, a node name, and a number of the node in a blockchain network. And carrying out hash calculation on the unique node identification information to obtain a node hash value, wherein the node hash value can uniquely identify the node. The value of the transaction cache redundancy value N is selected according to experience, and the quantity of transaction data backups is determined by the size of N.
Compared with the situation of caching transaction data in the whole network in the prior art, in the technical scheme, all the transaction data are not cached in the nodes in the block chain network, and the occupation of the memory space of the nodes is reduced.
The node M1-8 is all nodes of a block chain network, the ip of the node M1-8 is subjected to hash calculation to obtain a hash value HM1-8 of the corresponding node, and the hash value HM1-8 is mapped into a key space, as shown in fig. 2. Performing hash calculation on transaction Tx to obtain a transaction hash value HTx, taking 3 for the transaction cache redundancy value N, judging that the node hash values HM4, HM7 and HM8 are 3 nodes closest to the transaction hash value HTx, storing transaction Tx data on the nodes M4, M7 and M8, and simultaneously storing a transaction Tx storage path routing table which records the nodes for storing the transaction Tx data.
If the transaction Tx is initially broadcast by the node M2, the nodes M1, M3-8 that receive the transaction Tx perform the following steps: verifying the transaction Tx and caching the transaction Tx hash value; respectively judging whether the node hash values HM1 and HM3-8 are 3 nodes closest to the transaction hash value, if so, caching the transaction Tx data by the corresponding nodes; if not, not caching the transaction Tx data; the transaction Tx data is broadcast to other nodes.
And when the accounting node packs the block, accessing the key space node through the transaction Tx data storage path routing table according to the transaction Tx hash value, acquiring transaction Tx data, and writing the transaction Tx data into the block.
Example 2
A blockchain transaction distributed cache system, as shown in fig. 4, comprising: the broadcast module is used for broadcasting the transaction data to each node in the block chain network; the key space module is used for carrying out hash calculation on the unique identification information of each node in the block chain network to obtain the hash value of each node, and mapping each node into a key space according to the hash value of each node; the judging module is used for judging nodes corresponding to the N node hash values closest to the transaction hash values in the key space; the node comprises a cache module which is used for caching the transaction data.
As shown in fig. 5, the accounting node of the packing block further includes a transaction data obtaining module, which accesses the key space node by the KAD method according to the transaction hash value to obtain the transaction data. The system further comprises a verification module used for verifying the transaction data, and the cache module is also used for caching the transaction hash value, the judgment module judges whether the node hash value is N nodes closest to the transaction hash value in the key space, if so, the cache module caches the transaction data, and if not, the cache module does not cache the transaction data.
Example 3
An apparatus, the apparatus comprising: one or more processors; memory for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to perform a method as described above.
A storage medium storing a computer program which, when executed by a processor, implements the method as described in embodiment 1 above.
Fig. 6 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
As shown in fig. 6, as another aspect, the present application also provides an apparatus 500 including one or more Central Processing Units (CPUs) 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the apparatus 500 are also stored. The CPU501, ROM502, and RAM503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to embodiments disclosed herein, the method described in any of the above embodiments may be implemented as a computer software program. For example, embodiments disclosed herein include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method described in any of the embodiments above. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511.
As yet another aspect, the present application also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus of the above-described embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described herein.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor, for example, each of the described units may be a software program provided in a computer or a mobile intelligent device, or may be a separately configured hardware device. Wherein the designation of a unit or module does not in some way constitute a limitation of the unit or module itself.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the present application. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. A distributed caching method for blockchain transactions is characterized by comprising the following steps:
broadcasting the transaction data to each node in the blockchain network, and caching the transaction data on nodes corresponding to N node hash values closest to the transaction hash values in a key space; performing hash calculation on the unique identification information of each node in the block chain network to obtain a hash value of each node, and mapping each node into a key space according to the hash value of each node; n is more than or equal to 2, and N is a transaction cache redundancy value.
2. The method of claim 1, wherein when the block is packed by the accounting node, the key space node is accessed by a KAD method according to the transaction hash value to obtain the transaction data, and the transaction data is written into the block.
3. The method of claim 1, further comprising: and verifying the transaction data by each node in the block chain network, and caching the transaction hash value.
4. The method of claim 2, wherein a transaction data storage path routing table is stored in the key space, and when the block is packed by the accounting node, the key space node is accessed through the transaction data storage path routing table according to the transaction hash value to obtain the transaction data, and the transaction data is written into the block.
5. The method of claim 1, wherein the node receiving the transaction data performs the steps of: verifying the transaction data, caching the transaction hash value, judging whether the node hash value is N nodes closest to the transaction hash value in the key space, if so, caching the transaction data, and if not, not caching the transaction data; broadcasting the transaction data to other nodes.
6. A blockchain transaction distributed cache system, comprising:
the broadcast module is used for broadcasting the transaction data to each node in the block chain network;
the key space module is used for carrying out hash calculation on the unique identification information of each node in the block chain network to obtain the hash value of each node, and mapping each node into a key space according to the hash value of each node;
the judging module is used for judging nodes corresponding to the N node hash values closest to the transaction hash values in the key space; the node comprises a cache module which is used for caching the transaction data.
7. The system of claim 6, further comprising a transaction data acquisition module at the accounting node of the packing block, wherein the transaction data acquisition module accesses the key space node by the KAD method according to the transaction hash value to acquire the transaction data.
8. The system of claim 6, further comprising a verification module configured to verify the transaction data, wherein the caching module is further configured to cache the transaction hash values, and the determination module determines whether the node hash values are the N nodes closest to the transaction hash values in the key space, if so, the caching module caches the transaction data, and if not, the caching module does not cache the transaction data.
9. An apparatus, characterized in that the apparatus comprises:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method recited in any of claims 1-5.
10. A storage medium storing a computer program, characterized in that the program, when executed by a processor, implements the method according to any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010099005.XA CN111324633A (en) | 2020-02-18 | 2020-02-18 | Block chain transaction distributed caching method, system, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010099005.XA CN111324633A (en) | 2020-02-18 | 2020-02-18 | Block chain transaction distributed caching method, system, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111324633A true CN111324633A (en) | 2020-06-23 |
Family
ID=71172150
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010099005.XA Pending CN111324633A (en) | 2020-02-18 | 2020-02-18 | Block chain transaction distributed caching method, system, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111324633A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112069169A (en) * | 2020-07-30 | 2020-12-11 | 北京奇艺世纪科技有限公司 | Block data storage method and device, electronic equipment and readable storage medium |
| CN112883038A (en) * | 2021-04-29 | 2021-06-01 | 腾讯科技（深圳）有限公司 | Data management method based on block chain, computer and readable storage medium |
| CN113627937A (en) * | 2021-08-24 | 2021-11-09 | 上海点融信息科技有限责任公司 | Block storage method, device, equipment and storage medium |
| WO2021248876A1 (en) * | 2020-06-08 | 2021-12-16 | 江苏复杂美科技有限公司 | Distributed data storage method, device, and storage medium |
| CN117879786B (en) * | 2024-03-12 | 2024-05-14 | 深圳市海域达赫科技有限公司 | Data distributed storage and access method, system, equipment and readable storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102201986A (en) * | 2011-05-10 | 2011-09-28 | 苏州两江科技有限公司 | Zonal routing method for non-relational database Cassandra |
| CN106548349A (en) * | 2016-11-02 | 2017-03-29 | 江苏通付盾科技有限公司 | Transaction Information verification method and system |
| JP6274680B1 (en) * | 2016-10-18 | 2018-02-07 | 株式会社大和総研ビジネス・イノベーション | Transaction recording system and program |
| US20180315309A1 (en) * | 2017-04-28 | 2018-11-01 | Mastercard International Incorporated | Method and system for parking verification via blockchain |
| CN110413845A (en) * | 2019-07-29 | 2019-11-05 | 青岛海尔科技有限公司 | Resource storage method and device based on Internet of Things operating system |
| CN110741372A (en) * | 2017-06-07 | 2020-01-31 | 区块链控股有限公司 | Computer-implemented system and method for managing transactions on a blockchain network |
| CN110754070A (en) * | 2017-06-20 | 2020-02-04 | 区块链控股有限公司 | Fast propagation of recent transactions over blockchain networks |
-
2020
- 2020-02-18 CN CN202010099005.XA patent/CN111324633A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102201986A (en) * | 2011-05-10 | 2011-09-28 | 苏州两江科技有限公司 | Zonal routing method for non-relational database Cassandra |
| JP6274680B1 (en) * | 2016-10-18 | 2018-02-07 | 株式会社大和総研ビジネス・イノベーション | Transaction recording system and program |
| CN106548349A (en) * | 2016-11-02 | 2017-03-29 | 江苏通付盾科技有限公司 | Transaction Information verification method and system |
| US20180315309A1 (en) * | 2017-04-28 | 2018-11-01 | Mastercard International Incorporated | Method and system for parking verification via blockchain |
| CN110741372A (en) * | 2017-06-07 | 2020-01-31 | 区块链控股有限公司 | Computer-implemented system and method for managing transactions on a blockchain network |
| CN110754070A (en) * | 2017-06-20 | 2020-02-04 | 区块链控股有限公司 | Fast propagation of recent transactions over blockchain networks |
| CN110413845A (en) * | 2019-07-29 | 2019-11-05 | 青岛海尔科技有限公司 | Resource storage method and device based on Internet of Things operating system |
Non-Patent Citations (1)
| Title |
|---|
| 王冰等: "技法融合:区块链技术下证券交易信息的保护进路" * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021248876A1 (en) * | 2020-06-08 | 2021-12-16 | 江苏复杂美科技有限公司 | Distributed data storage method, device, and storage medium |
| CN112069169A (en) * | 2020-07-30 | 2020-12-11 | 北京奇艺世纪科技有限公司 | Block data storage method and device, electronic equipment and readable storage medium |
| CN112069169B (en) * | 2020-07-30 | 2023-08-15 | 北京奇艺世纪科技有限公司 | Block data storage method and device, electronic equipment and readable storage medium |
| CN112883038A (en) * | 2021-04-29 | 2021-06-01 | 腾讯科技（深圳）有限公司 | Data management method based on block chain, computer and readable storage medium |
| CN112883038B (en) * | 2021-04-29 | 2021-07-23 | 腾讯科技（深圳）有限公司 | Data management method based on block chain, computer and readable storage medium |
| CN113627937A (en) * | 2021-08-24 | 2021-11-09 | 上海点融信息科技有限责任公司 | Block storage method, device, equipment and storage medium |
| CN117879786B (en) * | 2024-03-12 | 2024-05-14 | 深圳市海域达赫科技有限公司 | Data distributed storage and access method, system, equipment and readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111324633A (en) | Block chain transaction distributed caching method, system, equipment and storage medium | |
| CN108984662B (en) | Block chain data synchronization method | |
| WO2017050014A1 (en) | Data storage processing method and device | |
| CN109587271B (en) | Main chain parallel chain architecture system, block synchronization method, equipment and storage medium | |
| US20180329921A1 (en) | Method and apparatus for storing time series data | |
| EP2710477B1 (en) | Distributed caching and cache analysis | |
| CN106529953B (en) | Method and device for risk identification of business attributes | |
| US9380127B2 (en) | Distributed caching and cache analysis | |
| CN108228076B (en) | Method and host for accessing disk | |
| CN111475519A (en) | Data caching method and device | |
| CN110851474A (en) | Data query method, database middleware, data query device and storage medium | |
| CN111737564A (en) | Information query method, device, equipment and medium | |
| CN109614411B (en) | Data storage method, device and storage medium | |
| CN106201839A (en) | The information loading method of a kind of business object and device | |
| CN109388335B (en) | Data storage method and system | |
| EP3964996A1 (en) | Database access method and device | |
| CN110781500A (en) | Data wind control system and method | |
| US20210042328A1 (en) | Partitioning data in a clustered database environment | |
| CN113419792A (en) | Event processing method and device, terminal equipment and storage medium | |
| CN112132583A (en) | Transaction processing method and device of block chain, electronic equipment and readable storage medium | |
| CN112148554A (en) | Method and device for calculating occupation size of redis service data in real time | |
| CN111562995A (en) | Method, system and related device for processing transaction message | |
| CN113268518A (en) | Flow statistical method and device and distributed flow statistical system | |
| US11086517B2 (en) | Page frame security | |
| CN111858603B (en) | Block chain data writing method and system |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200623 |