CN112395312A - Data storage and search method and device, computer equipment and storage medium - Google Patents
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Abstract
The invention discloses a data storage and search method, a data storage and search device, computer equipment and a storage medium, wherein the method comprises the following steps: receiving a data storage instruction, and searching a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata; screening primary screening data meeting preset conditions from the first data set, and extracting designated subdata from each piece of screened primary screening data to form a second data set; storing the first data set in a persistent database and the second data set in a cache database; the invention adopts a mode of combining the relational database with the non-relational database to realize the safe and durable storage of data and meet the requirement of quick search of the data.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a data storage and search method, a data storage and search device, computer equipment and a storage medium.
Background
With the development and application of big data technology, more and more enterprises apply big data technology to count a large amount of business data and visually display the statistical result, thereby improving the decision-making efficiency of enterprises and reducing the subjective decision-making consciousness. In the prior art, enterprises generally use a relational database similar to MySQL to store data, and perform data search from the MySQL database for later statistical operations; however, the relational database has a disadvantage of slow data reading, and particularly, in the case of storing massive data, a performance bottleneck problem occurs when searching for data, so that the searching efficiency is very low, and how to persistently store data and improve the searching rate of data becomes a technical problem that needs to be solved urgently by technical staff.
Disclosure of Invention
The invention aims to provide a data storage and search method, a data storage and search device, computer equipment and a storage medium, which adopt a mode of combining a relational database and a non-relational database to realize safe and durable storage of data and meet the requirement of quick search of the data.
According to an aspect of the present invention, there is provided a data storage and search method, the method including:
receiving a data storage instruction, and searching a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata;
screening primary screening data meeting preset conditions from the first data set, and extracting designated subdata from each piece of screened primary screening data to form a second data set;
storing the first data set in a persistent database and the second data set in a cache database.
Optionally, the finding the first data set corresponding to the data storage instruction from the source database specifically includes:
determining a first time point and a current second time point of the last time of receiving the data storage instruction;
and acquiring a first data set corresponding to the data storage instruction, which is generated from the first time point to the second time point, from the source database.
Optionally, the screening out the preliminary screening data meeting the preset condition from the first data set, and extracting the designated sub-data from each screened out preliminary screening data includes:
judging whether each piece of data in the first data set contains a designated field;
if so, taking data containing the specified fields as the primary screening data, and extracting the field values of the specified fields from the primary screening data to be taken as the specified sub-data.
Optionally, after the storing the first data set in the persistent database and the storing the second data set in the cache database, the method further includes:
receiving a data searching instruction, and searching whether target data corresponding to the data searching instruction exists in the cache database;
and if the target data does not exist in the cache database, searching whether the target data exists in the persistent database.
Optionally, after the storing the first data set in the persistent database and the storing the second data set in the cache database, the method further includes:
counting the data volume in the first data set;
forming a data report according to the counted data volume and the second data set;
and sending the data report to a designated terminal so that the designated terminal can visually display the data report.
Optionally, the persistent database is a MySQL database, and the cache database is a Redis database.
According to another aspect of the present invention, there is provided a data storage and lookup apparatus, the apparatus comprising:
the receiving module is used for receiving a data storage instruction and finding a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata;
the screening module is used for screening primary screening data meeting preset conditions from the first data set and extracting designated subdata from each piece of screened primary screening data to form a second data set;
and the storage module is used for storing the first data set into a persistent database and storing the second data set into a cache database.
Optionally, the apparatus further comprises:
the searching module is used for receiving a data searching instruction and searching whether target data corresponding to the data searching instruction exists in the cache database; and if the target data does not exist in the cache database, searching whether the target data exists in the persistent database.
According to another aspect of the present invention, there is provided a computer device, specifically including: the data storage and search method comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the steps of the data storage and search method introduced above when executing the computer program.
According to another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the data storage and retrieval method introduced above.
According to the data storage and search method, the data storage and search device, the computer equipment and the storage medium, data are periodically acquired from the source database according to the set time interval, and the acquired data are stored in the relational database MySQL to realize persistent storage of mass data; extracting common data from the acquired data, and storing the common data into a non-relational database Reids to realize the quick search of mass data; the invention adopts a mode of combining the relational database with the non-relational database to realize the safe and durable storage of data and meet the requirement of quick search of the data.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flow chart of an alternative data storage and search method according to an embodiment;
fig. 2 is an alternative flow chart of the data storage and search method according to the second embodiment;
fig. 3 is a schematic diagram of an alternative structure of the data storage and search apparatus according to the third embodiment;
fig. 4 is a schematic diagram of an alternative hardware architecture of the computer device according to the fourth embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
The embodiment of the invention provides a data storage and search method, as shown in fig. 1, the method specifically comprises the following steps:
step S101: receiving a data storage instruction, and searching a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata.
In this embodiment, the source database is a database of an enterprise, and data of multiple service types related to the enterprise is stored in the source database.
Specifically, the finding the first data set corresponding to the data storage instruction from the source database includes:
determining a first time point and a current second time point of the last time of receiving the data storage instruction;
and acquiring a first data set corresponding to the data storage instruction, which is generated from the first time point to the second time point, from the source database.
In the embodiment, data of a specified service type is periodically acquired from a source database to form a first data set; including a plurality of pieces of data in a first data set, each piece of data containing a plurality of fields and sub data (i.e., field values) of each field; for example, in a home electronics enterprise, each time a home device is produced, a piece of home production data is generated, which includes the following fields: the production time, the production place, the production number and the household appliance type number, and the household appliance production data is stored in a source database.
Step S102: and screening primary screening data meeting preset conditions from the first data set, and extracting designated subdata from each piece of screened primary screening data to form a second data set.
Specifically, the step of screening out preliminary screening data meeting preset conditions from the first data set, and extracting designated subdata from each piece of screened preliminary screening data includes:
judging whether each piece of data in the first data set contains a designated field;
if so, taking data containing the specified fields as the primary screening data, and extracting the field values of the specified fields from the primary screening data to be taken as the specified sub-data.
In the embodiment, a field value under one or more specified fields is extracted from each piece of data of the first data set to form a second data set; i.e. the second data set is a subset of said first data set.
For example, the home appliance production data includes the following fields: production time, production place, production number, and household appliance type number; and if the production number is a designated field, the second data set contains the production number in the production data of each household appliance.
Step S103: storing the first data set in a persistent database and the second data set in a cache database.
Specifically, the persistent database is a MySQL database, and the cache database is a Redis database.
The MySQL database is a relational database stored in a storage device (such as a hard disk), and the first data set is stored in the MySQL database, so that data can be stored for a long time; however, the MySQL database has a slow reading speed, and particularly when mass data is stored in the relational database, the problem of low efficiency occurs when the data is queried from the MySQL database; the Redis database is a non-relational database and is also a cache database, and the second data set is stored in the Redis database due to the fact that the cache reading speed is high, so that the operation efficiency can be greatly improved.
In this embodiment, a combination of the relational database and the non-relational database is adopted to combine the advantages of the two different types of databases, so as to implement safe and persistent storage of data and satisfy fast search of data.
Further, after step S103, the method further includes:
receiving a data searching instruction, and searching whether target data corresponding to the data searching instruction exists in the cache database;
and if the target data does not exist in the cache database, searching whether the target data exists in the persistent database.
Because the data query efficiency of the Redis database is high, the data (designated subdata) frequently used by the user is stored in the Redis database, so that the user can quickly acquire the data from the Redis database in the later period; in addition, the data which are not commonly used are stored in the MySQL database, so that the storage pressure of the Redis database is reduced; since all data is stored in the MySQL database, even if the data in the Redis database is lost, the data can be acquired from the MySQL database again.
Further, after step S103, the method further includes:
counting the data volume in the first data set;
forming a data report according to the counted data volume and the second data set;
and sending the data report to a designated terminal so that the designated terminal can visually display the data report.
In this embodiment, data statistics and data processing may be performed based on the first data set, a data report is formed from the data statistics results and the data processing results, and the data report is visually displayed, so that a scientific decision is realized to the maximum extent and the decision efficiency is improved.
Example two
An embodiment of the present invention provides a data storage and search method, as shown in fig. 2, the method specifically includes the following steps:
step S201: and acquiring the specified type of service data from the source database periodically according to a set time interval.
The source database is a database of an enterprise, and various types of business data related to the enterprise are stored in the source database.
Specifically, step S201 includes:
acquiring electrical appliance type data at a first time point every day, acquiring electrical appliance production data at a second time point every day, acquiring electrical appliance installation data at a third time point every day, and acquiring user behavior data at a fourth time point every day;
the first time point is earlier than the second time point, the second time point is earlier than the third time point, and the third time point is earlier than the fourth time point.
Because there is a dependency relationship between different types of service data, it is necessary to obtain the service data of corresponding types at different times in a day; in addition, since some types of service data need to be stored in the source database depending on other service data, the various types of service data need to be acquired in sequence.
For example, appliance type data is acquired at 0 o 'clock per day, appliance production data is acquired at 3 o' clock per day, appliance installation data is acquired at 4 o 'clock per day, and user behavior data is acquired at 6, 12, 18, 24 o' clock per day.
In practical application, a timer and a way of simulating an http request can be used to implement an operation of automatically acquiring the traffic data from the source database.
Step S202: and storing the acquired service data into a MySQL database.
In practical application, the acquired business data is stored in a MySQL database through SQL statements. The business data is stored in the MySQL database, so that the data can be permanently stored, and the safety of the data is ensured.
Step S203: and performing data statistics and data processing based on the acquired service data, and storing data statistics results and data processing results into a Redis database.
Specifically, the data statistics based on the obtained service data includes:
counting the data volume of the acquired service data, and taking the data volume as a data totalization result;
and performing data processing based on the acquired service data, wherein the data processing comprises the following steps:
and extracting the specified subdata of one or more specified fields from each piece of service data, and taking the extracted specified subdata as a data processing result.
In this embodiment, first, service data is obtained from a source database at regular time, and the obtained service data is stored in a MySQL database; then initializing the service data which are just acquired, inquiring the service data from the MySQL database, and carrying out data statistics and data processing according to a certain statistical method and a certain processing method; and finally, writing the data statistical result and the data processing result into a Redis database.
Further, the method further comprises:
step A1: receiving a data searching instruction, and searching whether target service data corresponding to the data searching instruction exists in a Redis database;
step A2: and if the target business data does not exist in the Redis database, searching whether the target business data exists in the MySQL database.
Because the data query efficiency of the Redis database is high, the data frequently used by the user is stored in the Redis database, so that the user can quickly acquire the data from the Redis database in the later period; in addition, since all data is stored in the MySQL database, even if the data in the Redis database is lost, the data can be obtained from the MySQL database again.
EXAMPLE III
An embodiment of the present invention provides a data storage and search device, and as shown in fig. 3, the device specifically includes the following components:
a receiving module 301, configured to receive a data storage instruction, and search a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata;
a screening module 302, configured to screen primary screened data that meet a preset condition from the first data set, and extract designated sub-data from each piece of the screened primary screened data to form a second data set;
a storage module 303, configured to store the first data set in a persistent database, and store the second data set in a cache database.
Specifically, the receiving module 301 is configured to:
determining a first time point and a current second time point of the last time of receiving the data storage instruction;
and acquiring a first data set corresponding to the data storage instruction, which is generated from the first time point to the second time point, from the source database.
A screening module 302 to:
judging whether each piece of data in the first data set contains a designated field;
if so, taking data containing the specified fields as the primary screening data, and extracting the field values of the specified fields from the primary screening data to be taken as the specified sub-data.
Further, the apparatus further comprises:
the searching module is used for receiving a data searching instruction after the first data set is stored in the persistent database and the second data set is stored in the cache database, and searching whether target data corresponding to the data searching instruction exists in the cache database; and if the target data does not exist in the cache database, searching whether the target data exists in the persistent database.
The device further comprises:
the report module is used for counting the data volume in the first data set after the first data set is stored in the persistent database and the second data set is stored in the cache database; forming a data report according to the counted data volume and the second data set; and sending the data report to a designated terminal so that the designated terminal can visually display the data report.
Furthermore, the persistent database is a MySQL database, and the cache database is a Redis database.
Example four
The embodiment also provides a computer device, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack server, a blade server, a tower server or a rack server (including an independent server or a server cluster composed of a plurality of servers) capable of executing programs, and the like. As shown in fig. 4, the computer device 40 of the present embodiment at least includes but is not limited to: a memory 401, a processor 402, which may be communicatively coupled to each other via a system bus. It is noted that FIG. 4 only shows the computer device 40 having components 401 and 402, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead.
In this embodiment, the memory 401 (i.e., a readable storage medium) includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the storage 401 may be an internal storage unit of the computer device 40, such as a hard disk or a memory of the computer device 40. In other embodiments, the memory 401 may also be an external storage device of the computer device 40, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the computer device 40. Of course, the memory 401 may also include both internal and external storage devices for the computer device 40. In the present embodiment, the memory 401 is generally used for storing an operating system and various types of application software installed in the computer device 40. Further, the memory 401 may also be used to temporarily store various types of data that have been output or are to be output.
Specifically, in this embodiment, the processor 402 is configured to execute a program of a data storage and search method stored in the processor 402, and the program of the data storage and search method implements the following steps when executed:
receiving a data storage instruction, and searching a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata;
screening primary screening data meeting preset conditions from the first data set, and extracting designated subdata from each piece of screened primary screening data to form a second data set;
storing the first data set in a persistent database and the second data set in a cache database.
The specific embodiment process of the above method steps can be referred to in the first embodiment, and the detailed description of this embodiment is not repeated here.
EXAMPLE five
The present embodiments also provide a computer readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., having stored thereon a computer program that when executed by a processor implements the method steps of:
receiving a data storage instruction, and searching a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata;
screening primary screening data meeting preset conditions from the first data set, and extracting designated subdata from each piece of screened primary screening data to form a second data set;
storing the first data set in a persistent database and the second data set in a cache database.
The specific embodiment process of the above method steps can be referred to in the first embodiment, and the detailed description of this embodiment is not repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for storing and retrieving data, the method comprising:
receiving a data storage instruction, and searching a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata;
screening primary screening data meeting preset conditions from the first data set, and extracting designated subdata from each piece of screened primary screening data to form a second data set;
storing the first data set in a persistent database and the second data set in a cache database.
2. The data storage and lookup method of claim 1, wherein the finding the first data set corresponding to the data storage instruction from the source database specifically includes:
determining a first time point and a current second time point of the last time of receiving the data storage instruction;
and acquiring a first data set corresponding to the data storage instruction, which is generated from the first time point to the second time point, from the source database.
3. The data storage and lookup method of claim 1, wherein the screening out primary screening data meeting a preset condition from the first data set, and extracting designated sub-data from each piece of screened out primary screening data includes:
judging whether each piece of data in the first data set contains a designated field;
if so, taking data containing the specified fields as the primary screening data, and extracting the field values of the specified fields from the primary screening data to be taken as the specified sub-data.
4. The data storage and lookup method as claimed in claim 1 wherein after said storing said first data set in a persistent database and said second data set in a cache database, said method further comprises:
receiving a data searching instruction, and searching whether target data corresponding to the data searching instruction exists in the cache database;
and if the target data does not exist in the cache database, searching whether the target data exists in the persistent database.
5. The data storage and lookup method as claimed in claim 1 wherein after said storing said first data set in a persistent database and said second data set in a cache database, said method further comprises:
counting the data volume in the first data set;
forming a data report according to the counted data volume and the second data set;
and sending the data report to a designated terminal so that the designated terminal can visually display the data report.
6. The data storage and lookup method as claimed in any one of claims 1-5 wherein the persistent database is a MySQL database and the cache database is a Redis database.
7. A data storage and retrieval apparatus, the apparatus comprising:
the receiving module is used for receiving a data storage instruction and finding a first data set corresponding to the data storage instruction from a source database; the first data set comprises a plurality of pieces of data, and each piece of data comprises a plurality of pieces of subdata;
the screening module is used for screening primary screening data meeting preset conditions from the first data set and extracting designated subdata from each piece of screened primary screening data to form a second data set;
and the storage module is used for storing the first data set into a persistent database and storing the second data set into a cache database.
8. The data storage and lookup apparatus of claim 7 further comprising:
the searching module is used for receiving a data searching instruction and searching whether target data corresponding to the data searching instruction exists in the cache database; and if the target data does not exist in the cache database, searching whether the target data exists in the persistent database.
9. A computer device, the computer device comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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| CN109656980A (en) * | 2018-12-27 | 2019-04-19 | Oppo（重庆）智能科技有限公司 | Data processing method, electronic equipment, device and readable storage medium storing program for executing |
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