CN112527811A - Index monitoring data real-time updating method and system - Google Patents
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Abstract
The utility model provides a real-time index monitoring data updating method and a system, which are used for acquiring index information and index selection conditions input by a user; determining each data table according to the index information input by the user, and acquiring the total number of items of each data table; acquiring I/O information of a current database system, and splitting an index selection condition input by a user into a plurality of parallel sub-conditions if the number of entries of each database table is greater than or equal to a first numerical value and the I/O usage of the current database system is greater than or equal to a second numerical value; acquiring data of a database table in a multithreading parallel mode according to the splitting sub-condition, and updating index data; according to the method and the device, the data processing process is automatically optimized according to the information input by the user and the current operating condition of the database, the data processing time can be obviously shortened, and the real-time performance of data response is improved.
Description
Technical Field
The disclosure relates to the technical field of data processing, and in particular relates to a method and a system for updating index monitoring data in real time.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
SAP (Systems application I/Ons and Products) is a piece of software for enterprise Resource planning, ERP, (enterprise Resource planning) management; the functions of the SAP cover all aspects of enterprise management business, the functional modules serve all different management fields of the enterprise, and the SAP covers all aspects of the enterprise, so that massive data of all fields of enterprise personnel, finance, materials, projects and the like are stored.
The inventor finds that the existing data processing at present mainly has the following defects: when data needs to be subjected to multidimensional analysis, a traditional processing mode is to develop an index processing program for each index, the development time of the program is long, and due to the data magnitude, the execution speed of the program is slow, the efficiency is reduced, and the use experience of a user is influenced.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a method and a system for updating index monitoring data in real time, which can automatically optimize the data processing process according to the information input by a user and the current operating condition of a database, obviously shorten the data processing time and increase the real-time property of data response.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
the first aspect of the disclosure provides a method for updating index monitoring data in real time.
A real-time index monitoring data updating method comprises the following steps:
acquiring index information and index selection conditions input by a user;
determining each data table according to the index information input by the user, and acquiring the total number of items of each data table;
acquiring I/O information of a current database system, and splitting an index selection condition input by a user into a plurality of parallel sub-conditions if the number of entries of each database table is greater than or equal to a first numerical value and the I/O usage of the current database system is greater than or equal to a second numerical value;
and acquiring data of the database table in a multithreading parallel mode according to the splitting sub-condition, and updating the index data.
As some possible implementations, the index information includes at least an index name, an index access table, and an index field.
As some implementations are possible, the first value is any of a number in the millions.
As some possible implementations, the second value is 50%.
As some possible implementations, the number of parallel sub-conditions resulting from each selection condition splitting is less than or equal to the third value.
As some possible implementation modes, the data is taken by combining with the index of the database table, and the data is matched and calculated by using a dichotomy and/or a hash algorithm according to the data taken from the database table.
As some possible implementation manners, the data index updating result is displayed by utilizing an SAP ALV list interface.
As some possible implementation manners, the input index information is saved in an index information table, an index data table and an index field table for later multiplexing of the same index.
The second aspect of the disclosure provides a real-time index monitoring data updating system.
An index monitoring data real-time updating system comprises:
a data acquisition module configured to: acquiring index information and index selection conditions input by a user;
a data processing module configured to: determining each data table according to the index information input by the user, and acquiring the total number of items of each data table;
a conditional splitting module configured to: acquiring I/O information of a current database system, and splitting an index selection condition input by a user into a plurality of parallel sub-conditions if the number of entries of each database table is greater than or equal to a first numerical value and the I/O usage of the current database system is greater than or equal to a second numerical value;
an index update module configured to: and acquiring data of the database table in a multithreading parallel mode according to the splitting sub-condition, and updating the index data.
A third aspect of the present disclosure provides a computer-readable storage medium, on which a program is stored, wherein the program, when executed by a processor, implements the steps in the index monitoring data real-time updating method according to the first aspect of the present disclosure.
A fourth aspect of the present disclosure provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, where the processor implements the steps in the index monitoring data real-time updating method according to the first aspect of the present disclosure when executing the program.
Compared with the prior art, the beneficial effect of this disclosure is:
the method, the system, the medium or the electronic equipment can realize the automatic and rapid index generation function, namely, the index data can be customized and efficiently extracted by a user, the user firstly inputs the index name, the data tables extracted by the index, the extraction condition, the display field, the set operation and other information from the foreground, and then the data processing process is automatically optimized according to the information input by the user and the current running state of the database, so that the data processing time can be obviously shortened, and the real-time property of data response is increased.
Advantages of additional aspects of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
Fig. 1 is a schematic flow chart of a method for updating index monitoring data in real time according to embodiment 1 of the present disclosure.
Fig. 2 is a schematic diagram of index names provided in embodiment 1 of the present disclosure.
Fig. 3 is a schematic diagram of index access provided in embodiment 1 of the present disclosure.
Fig. 4 is a schematic diagram of an indicator field provided in embodiment 1 of the present disclosure.
Fig. 5 is an index information representation intention provided in embodiment 1 of the present disclosure.
Fig. 6 is an index data representation intention provided in embodiment 1 of the present disclosure.
Fig. 7 is a schematic diagram of an index field table provided in embodiment 1 of the present disclosure.
Detailed Description
The present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
Example 1:
as shown in fig. 1, embodiment 1 of the present disclosure provides a method for updating index monitoring data in real time, which can implement an automatic and fast index generation function, that is, a front-end user customizes and efficiently extracts index data; firstly, inputting index names, data tables extracted by indexes, extraction conditions, display fields, set operation and other information from a front end by a front end user; then, the program automatically optimizes the data processing process according to the information input by the user and the current operating condition of the database, so that the data processing time can be obviously shortened, and the real-time performance of data response is improved. After the execution is finished, the index result is displayed to a front-end user, and in order to achieve the purpose, the following technologies are mainly applied:
(1) acquiring the I/O throughput of the database, and applying database indexes when the SAP fetches data from the database;
(2) SAP parallel processing, dividing the database access into a plurality of processes to be executed simultaneously;
(3) in data processing, an SAP syntax pair search dichotomy and a Hash internal table Hash algorithm are adopted to search data;
(4) SAP progress bar technology, can display the progress percentage of data processing in real time according to the program running condition;
(5) displaying an index result by an ALV interface display technology of the SAP system; (ii) a
(6) And creating an SAP database table, and creating an index table, an index data table and an index field table.
Specifically, the method comprises the following steps:
s1: the user defines/selects the access conditions of the index interface, the user defined index comprises information such as index name, index access table, index field and the like, and the format is as shown in fig. 2, fig. 3 and fig. 4.
The user can also select the defined index, and the information can be automatically brought out from the index table, the index data table and the index field table.
S2: and determining each data table according to the index information input by the user, and acquiring the total number of items of each data table.
S3: and acquiring the I/O information of the current database system, and judging the running state of the current database system.
S4: if the number of the entries of each database table reaches more than million and the I/O usage > =50% of the current database system, indicating that the database table has huge data volume and the current database has large I/O usage, and going to step five; if the amount of data is not large and the database system is relatively idle, proceed to S7.
S5: the selection condition input by a user is split into a plurality of parallel sub-conditions, for example, the selection condition input by the user can be split into a user input (A or B or C) and D, and can be split into A and D, B and D and C and D, the splitting principle is not more than 10, and the situation that the performance of a system is influenced due to too many subsequent splitting processes is prevented.
S6: in order to accelerate the fetching speed of the database table, the data of the database table is acquired in a multi-thread parallel mode according to the sub-conditions of the step splitting, index data is updated, the fetching speed is accelerated by using the index of the database table while the data is fetched, and the process goes to S8.
S7: the index is used to read data from the database table according to the conditions input by the user.
S8: data obtained from a database table are matched and calculated by using a dichotomy and a Hash algorithm, so that the data searching efficiency is improved, and the running time is reduced.
S9: the SAP ALV list interface displays data index results.
S10: the information input by the user is stored in the index information table (as shown in fig. 5), the index data table (as shown in fig. 6), and the index field table (as shown in fig. 7) for later multiplexing of the same index.
Example 2:
an embodiment 2 of the present disclosure provides an index monitoring data real-time updating system, including:
a data acquisition module configured to: acquiring index information and index selection conditions input by a user;
a data processing module configured to: determining each data table according to the index information input by the user, and acquiring the total number of items of each data table;
a conditional splitting module configured to: acquiring I/O information of a current database system, judging the running condition of the current database system, and splitting an index selection condition input by a user into a plurality of parallel sub-conditions if the number of entries of each database table is greater than or equal to a first numerical value and the I/O usage of the current database system is greater than or equal to a second numerical value;
an index update module configured to: and acquiring data of the database table in a multithreading parallel mode according to the splitting sub-condition, and updating the index data.
The working method of the system is the same as the real-time index monitoring data updating method provided in embodiment 1, and details are not repeated here.
Example 3:
the embodiment 3 of the present disclosure provides a computer-readable storage medium, on which a program is stored, where the program, when executed by a processor, implements the steps in the method for updating the index monitoring data in real time according to the embodiment 1 of the present disclosure, where the steps are:
s1: and defining/selecting the access conditions of the index interface by a user, wherein the user-defined index comprises information such as an index name, an index access table, an index field and the like.
The user can also select the defined index, and the information can be automatically brought out from the index table, the index data table and the index field table.
S2: and determining each data table according to the index information input by the user, and acquiring the total number of items of each data table.
S3: and acquiring the I/O information of the current database system, and judging the running state of the current database system.
S4: if the number of the entries of each database table reaches more than million and the I/O usage > =50% of the current database system, indicating that the database table has huge data volume and the current database has large I/O usage, and going to step five; if the amount of data is not large and the database system is relatively idle, proceed to S7.
S5: the selection condition input by a user is split into a plurality of parallel sub-conditions, for example, the selection condition input by the user can be split into a user input (A or B or C) and D, and can be split into A and D, B and D and C and D, the splitting principle is not more than 10, and the situation that the performance of a system is influenced due to too many subsequent splitting processes is prevented.
S6: in order to accelerate the fetching speed of the database table, the data of the database table is acquired in a multi-thread parallel mode according to the sub-conditions of the step splitting, index data is updated, the fetching speed is accelerated by using the index of the database table while the data is fetched, and the process goes to S8.
S7: the index is used to read data from the database table according to the conditions input by the user.
S8: data obtained from a database table are matched and calculated by using a dichotomy and a Hash algorithm, so that the data searching efficiency is improved, and the running time is reduced.
S9: the SAP ALV list interface displays data index results.
S10: and storing the information input by the user into an index information table, an index data table and an index field table for multiplexing the same index later.
Example 4:
the embodiment 4 of the present disclosure provides an electronic device, which includes a memory, a processor, and a program stored in the memory and capable of running on the processor, where the processor implements the steps in the method for updating the index monitoring data in real time according to the embodiment 1 of the present disclosure when executing the program, where the steps are as follows:
s1: and defining/selecting the access conditions of the index interface by a user, wherein the user-defined index comprises information such as an index name, an index access table, an index field and the like.
The user can also select the defined index, and the information can be automatically brought out from the index table, the index data table and the index field table.
S2: and determining each data table according to the index information input by the user, and acquiring the total number of items of each data table.
S3: and acquiring the I/O information of the current database system, and judging the running state of the current database system.
S4: if the number of the entries of each database table reaches more than million and the I/O usage > =50% of the current database system, indicating that the database table has huge data volume and the current database has large I/O usage, and going to step five; if the amount of data is not large and the database system is relatively idle, proceed to S7.
S5: the selection condition input by a user is split into a plurality of parallel sub-conditions, for example, the selection condition input by the user can be split into a user input (A or B or C) and D, and can be split into A and D, B and D and C and D, the splitting principle is not more than 10, and the situation that the performance of a system is influenced due to too many subsequent splitting processes is prevented.
S6: in order to accelerate the fetching speed of the database table, the data of the database table is acquired in a multi-thread parallel mode according to the sub-conditions of the step splitting, index data is updated, the fetching speed is accelerated by using the index of the database table while the data is fetched, and the process goes to S8.
S7: the index is used to read data from the database table according to the conditions input by the user.
S8: data obtained from a database table are matched and calculated by using a dichotomy and a Hash algorithm, so that the data searching efficiency is improved, and the running time is reduced.
S9: the SAP ALV list interface displays data index results.
S10: and storing the information input by the user into an index information table, an index data table and an index field table for multiplexing the same index later.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
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 a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (10)
1. A real-time index monitoring data updating method is characterized in that: the method comprises the following steps:
acquiring index information and index selection conditions input by a user;
determining each data table according to the index information input by the user, and acquiring the total number of items of each data table;
acquiring I/O information of a current database system, and splitting an index selection condition input by a user into a plurality of parallel sub-conditions if the number of entries of each database table is greater than or equal to a first numerical value and the I/O usage of the current database system is greater than or equal to a second numerical value;
and acquiring data of the database table in a multithreading parallel mode according to the splitting sub-condition, and updating the index data.
2. The index monitoring data real-time updating method of claim 1, wherein:
the index information at least comprises an index name, an index access table and an index field.
3. The index monitoring data real-time updating method of claim 1, wherein:
the first value is any one of millions of values;
alternatively, the first and second electrodes may be,
the second value was 50%.
4. The index monitoring data real-time updating method of claim 1, wherein:
the number of parallel sub-conditions resulting from each selection condition split is less than or equal to a third value.
5. The index monitoring data real-time updating method of claim 1, wherein:
and (3) taking data by combining the index of the database table, and performing data matching and calculation on the data obtained from the database table by using a dichotomy and/or a hash algorithm.
6. The index monitoring data real-time updating method of claim 1, wherein:
and displaying the data index updating result by utilizing the SAP ALV list interface.
7. The index monitoring data real-time updating method of claim 1, wherein:
and storing the input index information into an index information table, an index data table and an index field table for multiplexing the same index later.
8. A real-time index monitoring data updating system is characterized in that: the method comprises the following steps:
a data acquisition module configured to: acquiring index information and index selection conditions input by a user;
a data processing module configured to: determining each data table according to the index information input by the user, and acquiring the total number of items of each data table;
a conditional splitting module configured to: acquiring I/O information of a current database system, and splitting an index selection condition input by a user into a plurality of parallel sub-conditions if the number of entries of each database table is greater than or equal to a first numerical value and the I/O usage of the current database system is greater than or equal to a second numerical value;
an index update module configured to: and acquiring data of the database table in a multithreading parallel mode according to the splitting sub-condition, and updating the index data.
9. A computer-readable storage medium, on which a program is stored, the program, when being executed by a processor, implementing the steps in the index monitoring data real-time updating method according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the steps of the index monitoring data real-time updating method according to any one of claims 1 to 7 when executing the program.
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| CN103488684A (en) * | 2013-08-23 | 2014-01-01 | 国家电网公司 | Electricity reliability index rapid calculation method based on caching data multithread processing |
| WO2017107378A1 (en) * | 2015-12-25 | 2017-06-29 | 深圳Tcl新技术有限公司 | Accelerated video data downloading method and device based on hls stream media |
| CN109145051A (en) * | 2018-07-03 | 2019-01-04 | 阿里巴巴集团控股有限公司 | The data summarization method and device and electronic equipment of distributed data base |
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