CN112000749A - Server, data storage method and computer equipment - Google Patents
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- 238000000034 method Methods 0.000 title claims description 33
- 238000013500 data storage Methods 0.000 title description 10
- 230000005540 biological transmission Effects 0.000 claims abstract description 17
- 238000004590 computer program Methods 0.000 claims description 11
- 238000004140 cleaning Methods 0.000 claims 1
- 230000006837 decompression Effects 0.000 description 4
- 239000000284 extract Substances 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
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- 238000010586 diagram Methods 0.000 description 3
- 239000000470 constituent Substances 0.000 description 2
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- 230000014509 gene expression Effects 0.000 description 2
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- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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Abstract
The invention provides a server, which comprises a transmitter, a data scheduling task processing module and a data scheduling module, wherein the transmitter is used for transmitting a data scheduling task to a server of at least one intelligent cell; the receiver is used for receiving data sent by the server of the at least one intelligent cell according to the data scheduling task; the processor is used for respectively storing the data into the distributed file system and the relational database according to the type of the data; the transmitter is further configured to transmit a data transmission success message to the server of the smart cell. The server provided by the invention can uniformly store the data generated by each intelligent cell in different modes according to the data types in time according to the characteristics of the data generated by the intelligent cell, thereby improving the efficiency of data access.
Description
Technical Field
The invention relates to the field of computers, in particular to a server, a data storage method and computer equipment.
Background
At present, the number of intelligent cells is increasing, the generated data is also increasing, and a good technical scheme aiming at data storage of the intelligent cells is lacked.
Disclosure of Invention
The server, the data storage method and the computer equipment provided by the invention can provide a data storage scheme suitable for the data characteristics of the intelligent cell.
In order to achieve the above object, a first aspect of the present invention provides a server comprising:
the sender is used for sending a data scheduling task to a server of at least one intelligent cell; the receiver is used for receiving data sent by the server of the at least one intelligent cell according to the data scheduling task; the processor is used for respectively storing the data into the distributed file system and the relational database according to the type of the data; the transmitter is further configured to transmit a data transmission success message to the server of the smart cell.
A second aspect of the present invention provides a data storage method, including:
issuing a data scheduling task to a server of at least one intelligent cell; receiving data sent by the server of the at least one intelligent cell according to the data scheduling task, and respectively storing the data into a distributed file system and a relational database according to the type of the data; and sending a data transmission success message to the server of the intelligent cell.
A third aspect of the invention provides a computer apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the computer program to cause the computer apparatus to perform the method of the second aspect.
A fourth aspect of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a computer, implements the method of the second aspect.
The invention has the beneficial effects that:
the invention provides a server, a data storage method and computer equipment, which can be used for storing data generated by intelligent cells in different modes in time according to data types according to the characteristics of the data generated by the intelligent cells, and improving the efficiency of data access.
Drawings
To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention.
Fig. 1 is a schematic structural diagram of a server according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a data storage method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device according to a third embodiment of the present invention;
fig. 4 is a schematic connection diagram of a storage medium according to a fourth embodiment of the present invention.
Detailed Description
Various embodiments of the present invention will be described more fully hereinafter. The invention is capable of various embodiments and of modifications and variations therein. However, it should be understood that: there is no intention to limit various embodiments of the invention to the specific embodiments disclosed herein, but on the contrary, the intention is to cover all modifications, equivalents, and/or alternatives falling within the spirit and scope of various embodiments of the invention.
Hereinafter, the terms "includes" or "may include" used in various embodiments of the present invention indicate the presence of the disclosed functions, operations, or elements, and do not limit the addition of one or more functions, operations, or elements. Furthermore, as used in various embodiments of the present invention, the terms "comprises," "comprising," "includes," "including," "has," "having" and their derivatives are intended to mean that the specified features, numbers, steps, operations, elements, components, or combinations of the foregoing, are only meant to indicate that a particular feature, number, step, operation, element, component, or combination of the foregoing, and should not be construed as first excluding the existence of, or adding to the possibility of, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
In various embodiments of the invention, the expression "a or/and B" includes any or all combinations of the words listed simultaneously, e.g., may include a, may include B, or may include both a and B.
Expressions (such as "first", "second", and the like) used in various embodiments of the present invention may modify various constituent elements in various embodiments, but may not limit the respective constituent elements. For example, the above description does not limit the order and/or importance of the elements described. The foregoing description is for the purpose of distinguishing one element from another. For example, the first user device and the second user device indicate different user devices, although both are user devices. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of various embodiments of the present invention.
It should be noted that: in the present invention, unless otherwise explicitly stated or defined, the terms "mounted," "connected," "fixed," and the like are to be construed broadly, e.g., as being fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium; there may be communication between the interiors of the two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, it should be understood by those skilled in the art that the terms indicating an orientation or a positional relationship herein are based on the orientations and the positional relationships shown in the drawings and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the device or the element referred to must have a specific orientation, be constructed in a specific orientation and operate, and thus, should not be construed as limiting the present invention.
The terminology used in the various embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the various embodiments of the invention. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
Referring to fig. 1, fig. 1 shows a server 100 according to a first embodiment of the present invention, and optionally, the server 100 may be a server forming a cloud platform or other devices forming the cloud platform, where the server includes:
a transmitter 110, configured to issue a data scheduling task to a server of at least one smart cell;
a receiver 120, configured to receive data sent by the server of the at least one smart cell according to the data scheduling task;
a processor 130, configured to store the data into a distributed file system and a relational database according to the type of the data;
the transmitter 110 is further configured to transmit a data transmission success message to the server of the smart cell.
Optionally, the processor is further configured to generate the data scheduling task. The scheduling task comprises the following steps: instructing a server of the smart cell to compress the first type data and the second type data respectively, and splitting the compressed first type data and the compressed second type data into small file data respectively; and instructing the server of the intelligent community to upload the small file data periodically. Specifically, the scheduling task may further include: instructing the server of the smart cell to upload the small file data to the server periodically, which may be 20 minutes. Optionally, the data size of the small file is 10M. Optionally, after the server of the smart cell finishes the data compression, the server of the cloud platform is notified to extract the data. The transmitter 110 is further configured to transmit a data transmission success message to the server of the smart cell after the data extraction is successful. Specifically, the data transmission success message is used to instruct the server of the smart cell to clear the compressed temporary file, and after receiving the data transmission success message, the server of the smart cell clears the compressed temporary file for uploading to the cloud platform server. The processor is further configured to clear an intermediate temporary file, such as a received compressed file, received from the server of the smart cell after the data transmission is successful.
Optionally, a unified cloud platform may be provided to collect and store data, and the hardware constituting the cloud platform may be a server or other hardware devices. The cloud platform may manage data generated by one or more smart cells. The cloud platform can generate data scheduling tasks of the servers of the one or more intelligent cells, and respectively issue the data scheduling tasks to the servers of the one or more intelligent cells.
The data includes: a first type of data and a second type of data. The first type data comprises data with a data volume increase speed exceeding a first threshold or data with a total data volume exceeding a second threshold, such as data with large total data volume, such as pictures and videos, and data with a fast data volume increase speed, such as a log table and a buried point table. The second type of data includes: and inquiring data with the frequency exceeding a third threshold value, such as data which is closely related to cell business, such as cell personnel, owners, house data, visitors, entrance guard data, parking lot data and the like, and can be frequently inquired.
The first threshold, the second threshold and the third threshold may be set according to actual conditions.
Optionally, the type of the partial data may also be directly set as the first type data and the second type data, where the data includes: first type data and second type data; the first type of data includes: at least one of a log table, a buried point table, terminal upload data, a picture, and a video. The second type of data includes: at least one of owner, house, visitor, entrance guard, parking lot data.
The processor is specifically configured to store the first type of data in the distributed file system according to the type of the data, and store the second type of data in the relational database. The processor is specifically configured to respectively start a first task and a second task, where the first task is used to update or add first-type data into the distributed file system through data matching, and the second task is used to update or add second-type data into the relational database through data matching. Specifically, the server may start two tasks, a first task corresponding to a first type of data and a second task corresponding to a second type of data. When the first task is executed, the cloud platform extracts the first type data from the server of the smart community, carries out decompression and data assembly, updates or adds the first type data into the distributed file system, and when the second task is executed, the cloud platform extracts the second type data from the server of the smart community, carries out decompression and data assembly, and updates or adds the second type data into the relational database.
The embodiment of the invention can uniformly store the data generated by each intelligent cell in different modes in time according to the data types aiming at the characteristics of the data generated by the intelligent cell, thereby improving the efficiency of data access.
Referring to fig. 2, fig. 2 shows a data storage method provided in the second embodiment of the present invention, optionally, an execution device of the method is a server, where the server may be a server forming a cloud platform or another device forming the cloud platform, and the method includes:
The method also includes generating the data scheduling task. Specifically, the scheduling task may further include: instructing the server of the smart cell to upload the small file data to the server periodically, which may be 20 minutes. Optionally, the data size of the small file is 10M. Optionally, after the server of the smart cell finishes the data compression, the server of the cloud platform is notified to extract the data.
Optionally, a unified cloud platform may be provided to collect and store data, and the hardware constituting the cloud platform may be a server or other hardware devices. The cloud platform may manage data generated by one or more smart cells. The cloud platform can generate data scheduling tasks of the servers of the one or more intelligent cells, and respectively issue the data scheduling tasks to the servers of the one or more intelligent cells.
Optionally, the data includes: a first type of data and a second type of data. The first type data comprises data with a data volume increase speed exceeding a first threshold or data with a total data volume exceeding a second threshold, such as data with large total data volume, such as pictures and videos, and data with a fast data volume increase speed, such as a log table and a buried point table. The second type of data includes: and inquiring data with the frequency exceeding a third threshold value, such as data which is closely related to cell business, such as cell personnel, owners, house data, visitors, entrance guard data, parking lot data and the like, and can be frequently inquired. The storing the data into a distributed file system and a relational database respectively according to the type of the data comprises: and storing the first type data into a distributed file system according to the type of the data, and storing the second type data into a relational database.
The first threshold, the second threshold and the third threshold may be set according to actual conditions.
Optionally, the data includes: a first type of data and a second type of data. The first type of data includes: at least one of a log table, a buried point table, terminal upload data, a picture, and a video. The second type of data includes: at least one of owner, house, visitor, entrance guard, parking lot data.
Optionally, the scheduling task includes: instructing a server of the smart cell to compress the first type data and the second type data respectively, and splitting the compressed first type data and the compressed second type data into small file data respectively; and instructing the server of the intelligent community to upload the small file data periodically.
Optionally, the data size of the small file is 10M, or may be other values, which may be set according to the situation.
Optionally, the storing the data into the distributed file system and the relational database according to the type of the data respectively includes: and respectively starting a first task and a second task, wherein the first task is used for updating or adding the first type of data into the distributed file system through data matching, and the second task is used for updating or adding the second type of data into the relational database through data matching. Specifically, the server may start two tasks, a first task corresponding to a first type of data and a second task corresponding to a second type of data. When the first task is executed, the cloud platform extracts the first type data from the server of the smart community, carries out decompression and data assembly, updates or adds the first type data into the distributed file system, and when the second task is executed, the cloud platform extracts the second type data from the server of the smart community, carries out decompression and data assembly, and updates or adds the second type data into the relational database.
Optionally, the data transmission success message is used to instruct the server of the smart cell to clean the compressed temporary file. The method further comprises the following steps: clearing the intermediate temporary files received from the server of the intelligent cell.
For other process steps in the method and functions of the related devices, reference may be made to embodiment one.
The embodiment of the invention can uniformly store the data generated by each intelligent cell in different modes in time according to the data types aiming at the characteristics of the data generated by the intelligent cell, thereby improving the efficiency of data access.
The third embodiment of the present invention further provides a computer device 300, as shown in fig. 3, the computer device includes: a memory 310, a processor 320 and a computer program stored on the memory and executable on the processor, the processor executing the computer program to cause the computer device 300 to perform the method of embodiment two. For other functions of the computer device 300, reference may be made to the description of the first embodiment, and further description is omitted here. The computer device 300 may be a server.
A storage medium 400 is further provided in the fourth embodiment of the present invention, as shown in fig. 4, where a computer program is stored, and the computer program, when executed by the processor 410, implements the steps of the method in the second embodiment. The method can refer to the second embodiment, and details are not repeated here.
In all examples shown and described herein, any particular value should be construed as merely exemplary, and not as a limitation, and thus other examples of example embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
The above examples are merely illustrative of several embodiments of the present invention, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the invention. It should be noted that, for those skilled in the art, other various changes and modifications can be made according to the above-described technical solutions and concepts, and all such changes and modifications should fall within the protection scope of the present invention.
Claims (16)
1. A server, comprising:
the sender is used for sending a data scheduling task to a server of at least one intelligent cell;
the receiver is used for receiving data sent by the server of the at least one intelligent cell according to the data scheduling task;
the processor is used for respectively storing the data into the distributed file system and the relational database according to the type of the data;
the transmitter is further configured to transmit a data transmission success message to the server of the smart cell.
2. The server according to claim 1,
the data includes: first type data and second type data;
the first type of data comprises data with a data volume increase speed exceeding a first threshold or data with a total data volume exceeding a second threshold;
the second type of data includes: querying data with a frequency exceeding a third threshold;
the processor is specifically configured to store the first type of data in the distributed file system according to the type of the data, and store the second type of data in the relational database.
3. The server according to claim 1,
the data includes: first type data and second type data;
the first type of data includes:
at least one of a log table, a buried point table, terminal upload data, pictures and videos;
the second type of data includes:
at least one of owner, house, visitor, entrance guard, parking lot data.
4. The server of claim 3, wherein the scheduling task comprises: instructing a server of the smart cell to compress the first type data and the second type data respectively, and splitting the compressed first type data and the compressed second type data into small file data respectively; and instructing the server of the intelligent community to upload the small file data periodically.
5. The server according to claim 4,
the data size of the small file is 10M.
6. The server according to claim 2,
the processor is specifically configured to respectively start a first task and a second task, where the first task is used to update or add first-type data into the distributed file system through data matching, and the second task is used to update or add second-type data into the relational database through data matching.
7. The server according to claim 2,
the data transmission success message is used for indicating the server of the intelligent cell to clear the compressed temporary file;
the processor is further used for cleaning the intermediate temporary files received from the server of the intelligent cell.
8. A method of storing data, comprising:
issuing a data scheduling task to a server of at least one intelligent cell;
receiving data sent by the server of the at least one intelligent cell according to the data scheduling task, and respectively storing the data into a distributed file system and a relational database according to the type of the data;
and sending a data transmission success message to the server of the intelligent cell.
9. The method of claim 8,
the data includes: first type data and second type data;
the first type of data comprises data with a data volume increase speed exceeding a first threshold or data with a total data volume exceeding a second threshold;
the second type of data includes: querying data with a frequency exceeding a third threshold;
the storing the data into a distributed file system and a relational database respectively according to the type of the data comprises:
and storing the first type data into a distributed file system according to the type of the data, and storing the second type data into a relational database.
10. The method of claim 8,
the data includes: first type data and second type data;
the first type of data includes:
at least one of a log table, a buried point table, terminal upload data, pictures and videos;
the second type of data includes:
at least one of owner, house, visitor, entrance guard, parking lot data.
11. The method of claim 9, wherein scheduling the task comprises:
instructing a server of the smart cell to compress the first type data and the second type data respectively, and splitting the compressed first type data and the compressed second type data into small file data respectively; and the number of the first and second groups,
and instructing a server of the intelligent community to upload the small file data periodically.
12. The method of claim 10,
the data size of the small file is 10M.
13. The method of claim 9, wherein storing the data into a distributed file system and a relational database according to the type of the data comprises:
and respectively starting a first task and a second task, wherein the first task is used for updating or adding the first type of data into the distributed file system through data matching, and the second task is used for updating or adding the second type of data into the relational database through data matching.
14. The method of claim 9,
the data transmission success message is used for indicating the server of the intelligent cell to clear the compressed temporary file;
the method further comprises the following steps:
clearing the intermediate temporary files received from the server of the intelligent cell.
15. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the computer program to cause the computer device to perform the method of any one of claims 8-14.
16. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a computer, carries out the method according to any one of claims 8-14.
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| CN202010760620.0A CN112000749A (en) | 2020-07-31 | 2020-07-31 | Server, data storage method and computer equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114880296A (en) * | 2022-07-08 | 2022-08-09 | 江苏信江数字科技有限公司 | Storage method and system suitable for big data of park |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103677654A (en) * | 2012-09-24 | 2014-03-26 | 联想(北京)有限公司 | Method and electronic equipment for storing data |
| CN104978324A (en) * | 2014-04-03 | 2015-10-14 | 腾讯科技（深圳）有限公司 | Data processing method and device |
| CN110674230A (en) * | 2019-09-25 | 2020-01-10 | 重庆邮电大学 | Intelligent edge data classification storage method |
-
2020
- 2020-07-31 CN CN202010760620.0A patent/CN112000749A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103677654A (en) * | 2012-09-24 | 2014-03-26 | 联想(北京)有限公司 | Method and electronic equipment for storing data |
| CN104978324A (en) * | 2014-04-03 | 2015-10-14 | 腾讯科技（深圳）有限公司 | Data processing method and device |
| CN110674230A (en) * | 2019-09-25 | 2020-01-10 | 重庆邮电大学 | Intelligent edge data classification storage method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114880296A (en) * | 2022-07-08 | 2022-08-09 | 江苏信江数字科技有限公司 | Storage method and system suitable for big data of park |
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