CN112883065A - Data storage method and device and computer equipment - Google Patents
Data storage method and device and computer equipment Download PDFInfo
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- 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
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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
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/061—Improving I/O performance
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0655—Vertical data movement, i.e. input-output transfer; data movement between one or more hosts and one or more storage devices
- G06F3/0656—Data buffering arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/067—Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
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Abstract
The invention provides a data storage method and device and computer equipment. The data storage method comprises the following steps: firstly, receiving a storage instruction, wherein the storage instruction is used for indicating target data required to be stored, and then judging whether data are stored in a cache database. If the cache database does not store data, target data are obtained from the original database and stored in the cloud database, and if the cache database stores data, the target data are obtained from the cache database and/or the original database and stored in the cloud database. The data storage method provided by the invention reduces the access to the original database, improves the reading efficiency and accelerates the data acquisition and storage process.
Description
Technical Field
The present invention relates to the field of data interaction, and in particular, to a data storage method and apparatus, and a computer device.
Background
With the formation of the concept of a data center platform and the development of a data warehouse technology, a data integration technology becomes the focus of attention and research of each enterprise, and enterprises and technicians at home and abroad carry out a great deal of research on a data warehouse technology (Extract Transform Load, abbreviated as ETL) and simultaneously provide various solutions. ETL is used to describe the process of extracting (extract), converting (transform), and loading (load) data from a source to a destination. In a specific working process, data reading time is too long due to huge data volume and complex relation among data, and extraction in the main process of ETL, namely an acquisition process, is the bottleneck of the whole ETL process.
In a traditional data acquisition mode, an external interface is directly connected with a database to directly access the database. When multiple queries are involved, the data sources are frequently accessed, eventually resulting in the data sources impacting the running system because of the excessive number of connections.
Therefore, the conventional single database access scheme has the technical problem that the normal operation of a program is influenced due to overlarge database access.
Disclosure of Invention
In order to solve the technical problem, the invention provides a data storage method, a data storage device and computer equipment, and the specific scheme is as follows:
in a first aspect, an embodiment of the present application provides a data storage method, where the method includes:
receiving a storage instruction, wherein the storage instruction is used for indicating target data required to be stored;
judging whether data are stored in a cache database;
if the cache database does not store data, acquiring the target data from an original database and storing the target data in a cloud database;
and if the cache database stores data, acquiring the target data from the cache database and/or the original database and storing the target data in the cloud database.
According to a specific embodiment disclosed in the present application, if no data is stored in the cache database, the method further includes:
and storing the target data to the cache database.
According to a specific embodiment disclosed in the present application, the step of obtaining the target data from the cache database and/or the raw database and storing the target data in the cloud database includes:
judging whether all the target data are stored in the cache database;
if all the target data are stored in the cache database, acquiring the target data from the cache database and storing the target data in the cloud database;
if all the target data are not stored in the cache database, all the target data are obtained from the cache database and the original database and stored in the cloud database.
According to a specific embodiment disclosed in the present application, the step of obtaining all the target data from the cache database and the original database and storing the target data in the cloud database includes:
determining a first subset of the target data stored within the cache database and a second subset of the target data not stored within the cache database;
storing the second subset of data within the original database to the cache database;
storing the first subset of data and the second subset of data in the cache database to the cloud database.
According to a specific embodiment disclosed herein, the method further comprises:
detecting whether modified data exist in the original database according to a preset detection period or when the storage instruction is received;
and if the original database is stored in the modified data, clearing the data corresponding to the modified data in the cache database.
According to a specific embodiment disclosed in the present application, after the step of obtaining the target data and storing the target data in the cloud database, the method further includes:
and clearing the data stored in the cache database.
According to a specific embodiment disclosed herein, the method further comprises:
when the data stored in the cache database reaches a first preset storage capacity value, detecting the times and time of data quoted in the cache database;
and according to the times and time of data in the cache database being referred, sequentially clearing the data with the minimum number of reference times and/or the shortest reference time in the cache database until the data stored in the cache database is reduced to be below a second preset storage capacity value.
In a second aspect, an embodiment of the present application provides a data storage device, including:
the storage module is used for receiving a storage instruction, and the storage instruction is used for indicating target data required to be stored;
the judging module is used for judging whether the cache database stores data or not;
the acquisition module is used for acquiring the target data from an original database and storing the target data into a cloud database if the cache database does not store the data; and if the cache database stores data, acquiring the target data from the cache database and/or the original database and storing the target data in the cloud database.
In a third aspect, the present application provides a computer device, which includes a processor and a memory, where the memory stores a computer program executable by the processor, and the processor executes the computer program to implement the method described in any one of the embodiments of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium storing computer-executable instructions, which, when invoked and executed by a processor, cause the processor to implement the method of any one of the embodiments of the first aspect.
Compared with the prior art, the method has the following beneficial effects:
the invention provides a data storage method and device and computer equipment. The data storage method comprises the following steps: firstly, receiving a storage instruction, wherein the storage instruction is used for indicating target data required to be stored, and then judging whether data are stored in a cache database. If the cache database does not store data, target data are obtained from the original database and stored in the cloud database, and if the cache database stores data, the target data are obtained from the cache database and/or the original database and stored in the cloud database. The data storage method provided by the invention reduces the access to the original database, improves the reading efficiency and accelerates the data acquisition and storage process.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings 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. Like components are numbered similarly in the various figures.
Fig. 1 is a schematic flowchart of a data storage method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a data storage architecture according to an embodiment of the present application;
fig. 3 is a block diagram of a data storage device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present invention, are only intended to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
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.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, a schematic flow chart of a data storage method provided in an embodiment of the present application is shown in fig. 1, where the method mainly includes:
step S101, a storage instruction is received.
Wherein the storage instruction is used for indicating target data requested to be stored.
In specific implementation, a storage instruction sent by the user terminal device is received to perform storage operation, and the storage instruction may include the type and range of target data to be stored.
Step S102, judging whether the cache database stores data or not.
The cache database is used for caching the stored data, and if all or part of the data needing to be stored subsequently exists in the cache database, the part of the data cached in the cache database can be directly called in the subsequent storage process. Because the efficiency of storing by using the cache database is far higher than that of directly calling the original database, after the storage instruction is received, whether the cache database stores data or not is judged firstly, so that the access to the original database can be reduced, the access to a disk is reduced, and the query speed is increased.
Step S103, if no data is stored in the cache database, the target data is obtained from the original database and stored in the cloud database.
When the first storage is started or the data in the cache database is cleared, the cache database has no data, and at the moment, the original database must be accessed to read the data, and then the data is sent to the cloud-end database for storage.
If the cache database does not store data, the method further comprises:
and storing the target data to the cache database.
In specific implementation, the data in the original database is sent to the cloud database, and meanwhile, backup needs to be performed in the cache database.
And step S104, if data are stored in the cache database, acquiring the target data from the cache database and/or the original database and storing the target data in the cloud database.
After the data is stored for the first time, because the data is stored in the cache database, the target data to be stored in the corresponding part of the cache database can be directly called when the storage instruction is received again, so that the reading of the original database is reduced, and the storage efficiency is improved.
The step of obtaining the target data from the cache database and/or the original database and storing the target data in the cloud database comprises the following steps:
judging whether all the target data are stored in the cache database;
if all the target data are stored in the cache database, acquiring the target data from the cache database and storing the target data in the cloud database;
if all the target data are not stored in the cache database, all the target data are obtained from the cache database and the original database and stored in the cloud database.
In specific implementation, when the storage is carried out again after the first storage, the system automatically judges according to the received storage instruction. And if the target data to be stored at this time is a smaller range of the data of the same type and range, directly copying the corresponding part of the target data in the cache database and sending the target data to the cloud database for storage. If the target data to be stored at this time is a larger range of data of the same type and range, the system automatically judges, and besides acquiring corresponding part of target data from the cache database, the system also needs to access the original database, read the part of target data beyond the range, and store all the target data into the cloud database.
The step of obtaining all the target data from the cache database and the original database and storing the target data in the cloud database comprises the following steps:
determining a first subset of the target data stored within the cache database and a second subset of the target data not stored within the cache database;
storing the second subset of data within the original database to the cache database;
storing the first subset of data and the second subset of data in the cache database to the cloud database.
In specific implementation, if all the target data is not stored in the cache database, part of the target data already stored in the cache database may be defined as a first subset of data, and another part of the target data stored in the original database is called at the same time, and may be defined as a second subset of data, and is stored in the cache database, and the cache database assembles the two subsets and sends the two subsets to the cloud database for storage. If the data stored in the cache database does not contain any target data, the first subset of data may be defined as an empty set or the original database may be directly accessed for storage.
Fig. 2 is a schematic diagram of a data storage architecture according to an embodiment of the present application. The structured data and semi-structured data may be stored in a cache database, such as: numbers, tables, etc. Unstructured data, such as: since there is no requirement for operations such as addition, subtraction, multiplication, and division, or processing, the pictures need not be stored in the cache database and need to be called directly from the original database. Therefore, data which do not need to be processed can be prevented from being stored in the cache database, the space utilization rate of the cache database is increased, and the data storage efficiency is improved.
Furthermore, the method further comprises:
detecting whether modified data exist in the original database according to a preset detection period or when the storage instruction is received;
and if the original database is stored in the modified data, clearing the data corresponding to the modified data in the cache database.
In specific implementation, if the data in the original database is changed, the changed data can be automatically detected, the corresponding data in the cache database is stopped, the corresponding data is subjected to invalidation treatment, and the cleaning program can clear the data in the area in a certain time period.
The state code of the original database can be detected, wherein the state code is a character string for recording the number of times of changing the data in the original database and recording the changed data. And if the state code changes, clearing the data in the cache database corresponding to the changed data in the original database.
After the step of obtaining the target data and storing the target data in the cloud database, the method further includes:
and clearing the data stored in the cache database.
When any one-time storage operation is completed completely, namely all target data to be stored are sent and stored into the cloud database, all data in the cache database are eliminated, the space of the cache database is released, the data safety is ensured, and the operation is standardized and rationalized.
Furthermore, the method further comprises:
when the data stored in the cache database reaches a first preset storage capacity value, detecting the times and time of data quoted in the cache database;
and according to the times and time of data in the cache database being referred, sequentially clearing the data with the minimum number of reference times and/or the shortest reference time in the cache database until the data stored in the cache database is reduced to be below a second preset storage capacity value.
During specific implementation, the first preset storage capacity value can be any value which is not larger than the maximum storage capacity value of the cache database and is defined by a user, the capacity of the cache database can be fully utilized by the storage capacity value, the cache database can be well prevented from being in the maximum capacity value for a long time, and the service time and the efficiency of the cache database are prolonged. The second predetermined storage capacity value may be any value that is not greater than the first predetermined storage capacity value and is user-defined.
The data in the cache database is cleared except after any one storage operation is finished, and the data in the cache database can be cleared when the cache database reaches a first preset storage capacity value. The clear operation needs to consider whether the current data is in use or referenced by other data, and if not, clear it to ensure sufficient space to accommodate other data. And judging whether the data in the cache database is referred or not, and detecting the reference value of the data in the cache database. The reference value is a counting variable stored in the cache database, and comprises the number of times and time of data being referred, and is used for detecting the occupation condition of the cache, inquiring the number of times and the reference time of data being referred in the cache database in real time, and clearing the data with the least number of reference times and/or the shortest reference time.
The data storage method provided by the invention reads the data from the original data source for the first time and backups the data into the cache database, and directly reads the data from the cache database during the next storage, thereby achieving the purpose of reducing the access to the original database, accelerating the storage and improving the overall efficiency of the data integration system. Meanwhile, after all target data to be stored are sent and stored in the cloud database, all data in the cache database are eliminated, the space of the cache database is released, and data safety can be ensured.
Corresponding to the above method embodiment, referring to fig. 3, the present invention further provides a data storage apparatus 300, where the data storage apparatus 300 includes:
a receiving module 301, configured to receive a storage instruction, where the storage instruction is used to indicate target data requested to be stored;
a judging module 302, configured to judge whether data is stored in the cache database;
an obtaining module 303, configured to obtain the target data from an original database and store the target data in a cloud database if the cache database does not store data; and if the cache database stores data, acquiring the target data from the cache database and/or the original database and storing the target data in the cloud database.
Furthermore, a computer device is provided, comprising a processor and a memory, the memory storing a computer program executable by the processor, the processor executing the computer program to implement the above data storage method.
Furthermore, a computer-readable storage medium is provided, which stores computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the above-described data storage method.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, 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 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.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention.
Claims (10)
1. A method of data storage, the method comprising:
receiving a storage instruction, wherein the storage instruction is used for indicating target data required to be stored;
judging whether data are stored in a cache database;
if the cache database does not store data, acquiring the target data from an original database and storing the target data in a cloud database;
and if the cache database stores data, acquiring the target data from the cache database and/or the original database and storing the target data in the cloud database.
2. The method of claim 1, wherein if no data is stored in the cache database, the method further comprises:
and storing the target data to the cache database.
3. The method of claim 1, wherein the step of retrieving the target data from the cache database and/or the raw database and storing the target data in the cloud database comprises:
judging whether all the target data are stored in the cache database;
if all the target data are stored in the cache database, acquiring the target data from the cache database and storing the target data in the cloud database;
if all the target data are not stored in the cache database, all the target data are obtained from the cache database and the original database and stored in the cloud database.
4. The method of claim 3, wherein the step of retrieving all of the target data from the cache database and the raw database and storing the target data in the cloud database comprises:
determining a first subset of the target data stored within the cache database and a second subset of the target data not stored within the cache database;
storing the second subset of data within the original database to the cache database;
storing the first subset of data and the second subset of data in the cache database to the cloud database.
5. The method of claim 1, further comprising:
detecting whether modified data exist in the original database according to a preset detection period or when the storage instruction is received;
and if the original database is stored in the modified data, clearing the data corresponding to the modified data in the cache database.
6. The method of claim 1, wherein after the step of obtaining the target data and storing the target data in the cloud database, the method further comprises:
and clearing the data stored in the cache database.
7. The method of claim 1, further comprising:
when the data stored in the cache database reaches a first preset storage capacity value, detecting the times and time of data quoted in the cache database;
and according to the times and time of data in the cache database being referred, sequentially clearing the data with the minimum number of reference times and/or the shortest reference time in the cache database until the data stored in the cache database is reduced to a second preset storage capacity value or below.
8. A data storage device, characterized in that the device comprises:
the storage module is used for receiving a storage instruction, and the storage instruction is used for indicating target data required to be stored;
the judging module is used for judging whether the cache database stores data or not;
the acquisition module is used for acquiring the target data from an original database and storing the target data into a cloud database if the cache database does not store the data; and if the cache database stores data, acquiring the target data from the cache database and/or the original database and storing the target data in the cloud database.
9. A computer device comprising a processor and a memory, the memory storing a computer program executable by the processor, the processor executing the computer program to implement the data storage method of any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon computer-executable instructions which, when invoked and executed by a processor, cause the processor to implement the data storage method of any one of claims 1 to 7.
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