CN112634030A - Method for obtaining real-time deposit index and stream computing platform - Google Patents
Method for obtaining real-time deposit index and stream computing platform Download PDFInfo
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Abstract
The application discloses a method for obtaining real-time deposit indexes and a stream computing platform, wherein the method comprises the following steps: obtaining real-time subscription data; the real-time subscription data comprises the type of a demand deposit index and real-time deposit transaction data corresponding to the type; acquiring an operation execution result according to the real-time subscription data and the operation configuration; the job configuration includes job execution rules; and the execution result comprises the demand deposit index. Therefore, the method for obtaining the real-time deposit index can obtain the real-time deposit index by obtaining the real-time deposit transaction data and processing the obtained real-time deposit transaction data in real time according to the operation configuration.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method for obtaining real-time deposit indexes and a stream computing platform.
Background
The bank production system counts the final daily batch of T-1 day on T (T is a positive integer). At present, the mode of obtaining the deposit indexes is mainly to obtain the deposit indexes according to the terminal daily batch.
However, the method of obtaining the deposit indexes by the batch at the end of the day cannot obtain the deposit indexes on the current day, and only can obtain the deposit indexes on the previous day. Therefore, the deposit index has a certain hysteresis, and the change of the deposit index cannot be reflected in real time, so that how to obtain a real-time deposit index becomes a problem to be continuously solved by the technical personnel in the field.
Disclosure of Invention
In order to solve the technical problem, the application provides a method for obtaining a real-time deposit index and a stream computing platform, which are used for obtaining the deposit index according to real-time deposit transaction data.
In order to achieve the above purpose, the technical solutions provided in the embodiments of the present application are as follows:
the embodiment of the application provides a method for obtaining a real-time deposit index, which is characterized in that the method is applied to a stream computing platform and comprises the following steps:
obtaining real-time subscription data; the real-time subscription data comprises the type of a demand deposit index and real-time deposit transaction data corresponding to the type;
acquiring an operation execution result according to the real-time subscription data and the operation configuration; the job configuration includes job execution rules; and the execution result comprises the demand deposit index.
Optionally, the acquiring the real-time subscription data includes:
obtaining real-time subscription data from a real-time data bus;
the method further comprises the following steps:
and sending the execution result to the real-time data bus.
Optionally, the real-time subscription data is sent to the real-time data bus by a data downshifting device;
and real-time deposit transaction data corresponding to the type in the real-time subscription data is obtained by the data downshifting device from a bank production system.
Optionally, the demand deposit indicator is of a type provided to the data move-down device by a data consumption system;
and the data consumption system is used for acquiring the execution result from the real-time data bus.
Optionally, the real-time deposit transaction data includes: deposit transaction data on the current day;
the data consumption system is also used for receiving deposit indexes before the current day sent by the big data platform and generating complete demand deposit indexes according to the demand deposit indexes and the deposit indexes before the current day.
Optionally, the method further comprises:
acquiring bottoming data from a big data platform; the bottoming data comprises a corresponding relation between deposit transaction and a banking institution;
the obtaining of the job execution result according to the real-time subscription data and the job configuration includes:
and obtaining an operation execution result according to the real-time subscription data, the paving data and the operation configuration.
An embodiment of the present application further provides a stream computing platform, which includes:
the data acquisition module is used for acquiring real-time subscription data; the real-time subscription data comprises the type of a demand deposit index and real-time deposit transaction data corresponding to the type;
the result obtaining module is used for obtaining a job execution result according to the real-time subscription data and the job configuration; the job configuration includes job execution rules; and the execution result comprises the demand deposit index.
Optionally, the acquiring the real-time subscription data includes:
obtaining real-time subscription data from a real-time data bus;
the stream computing platform further comprises:
and the sending module is used for sending the execution result to the real-time data bus.
The real-time subscription data is sent to the real-time data bus by the data downward moving device;
and real-time deposit transaction data corresponding to the type in the real-time subscription data is obtained by the data downshifting device from a bank production system.
Optionally, the demand deposit indicator is of a type provided to the data move-down device by a data consumption system;
and the data consumption system is used for acquiring the execution result from the real-time data bus.
Optionally, the real-time deposit transaction data includes: deposit transaction data on the current day;
the data consumption system is also used for receiving deposit indexes before the current day sent by the big data platform and generating complete demand deposit indexes according to the demand deposit indexes and the deposit indexes before the current day.
According to the technical scheme, the method has the following beneficial effects:
the embodiment of the application provides a method for obtaining a real-time deposit index and a stream computing platform, wherein the method comprises the following steps: obtaining real-time subscription data; the real-time subscription data comprises the type of a demand deposit index and real-time deposit transaction data corresponding to the type; acquiring an operation execution result according to the real-time subscription data and the operation configuration; the job configuration includes job execution rules; and the execution result comprises the demand deposit index. Therefore, the method for obtaining the real-time deposit index can obtain the real-time deposit index by obtaining the real-time deposit transaction data and processing the obtained real-time deposit transaction data in real time according to the operation configuration.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for obtaining a real-time deposit indicator according to an embodiment of the present application;
FIG. 2 is a signaling diagram of a method for obtaining a real-time savings index according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a stream computing platform according to an embodiment of the present application.
Detailed Description
In order to help better understand the scheme provided by the embodiment of the present application, before describing the method provided by the embodiment of the present application, a scenario of an application of the scheme of the embodiment of the present application is described.
The bank production system counts the final daily batch of T-1 day on T (T is a positive integer) day and provides the final batch for the operation manager. At present, operation managers mainly rely on daily end batch to obtain deposit indexes. However, the method of obtaining the deposit indexes by the batch at the end of the day cannot obtain the deposit indexes on the current day, and only can obtain the deposit indexes on the previous day. Therefore, the deposit index has a certain hysteresis, and the change of the deposit index cannot be reflected in real time, so that how to obtain a real-time deposit index becomes a problem to be continuously solved by the technical personnel in the field.
In order to solve the above problem, an embodiment of the present application provides a method for obtaining a real-time deposit index and a stream computing platform, where the method includes: obtaining real-time subscription data; the real-time subscription data comprises the type of a demand deposit index and real-time deposit transaction data corresponding to the type; acquiring an operation execution result according to the real-time subscription data and the operation configuration; the job configuration includes job execution rules; and the execution result comprises the demand deposit index. Therefore, the method for obtaining the real-time deposit index can obtain the real-time deposit index by obtaining the real-time deposit transaction data and processing the obtained real-time deposit transaction data in real time according to the operation configuration.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the drawings are described in detail below.
Referring to fig. 1, the figure is a schematic flow chart of a method for obtaining a real-time deposit indicator according to an embodiment of the present application. The method is applied to a stream computing platform, and as shown in fig. 1, the method for obtaining the real-time deposit index provided by the embodiment of the application includes the following steps S101 to S102:
s101: obtaining real-time subscription data; the real-time subscription data comprises the type of the demand deposit index and real-time deposit transaction data corresponding to the type;
s102: acquiring a job execution result according to the real-time subscription data and the job configuration; the job configuration includes job execution rules; the execution result comprises the demand deposit index.
In this embodiment of the present application, as a possible implementation manner, the acquiring real-time subscription data includes: real-time subscription data is obtained from a real-time data bus. Correspondingly, the method for obtaining the real-time deposit index, which is implemented by the application, further comprises the following steps: and sending the execution result to a real-time data bus. Therefore, the stream computing platform in the embodiment of the present application may obtain the implementation subscription data through the real-time data bus, and accordingly, may send the execution result of data processing through the stream computing platform, to implement soft connection with the outside, so as to obtain the real-time deposit index in real time.
As a possible implementation manner, in the embodiment of the present application, in order to avoid affecting the operation performance of the bank production system, the real-time subscription data is sent to the real-time data bus by the data migration device; and real-time deposit transaction data corresponding to the type in the real-time subscription data is obtained from a bank production system by the data downloading device. It will be appreciated that the bank production system is used to process bank transaction requests in real time. Therefore, according to the scheme provided by the embodiment of the application, in order to not influence the efficiency of the bank production system for processing the transaction request, the extra data downward shifting module is used for actively acquiring the real-time transaction data corresponding to the type of the demand deposit index from the bank production system, so that the original business processing speed of the bank is not influenced.
As a possible implementation manner, in the embodiment of the present application, in order to accurately obtain the type of the deposit index required by the user, the type of the required deposit index is provided to the data downshifting device by the data consumption system; and the data consumption system is used for acquiring the execution result from the real-time data bus. It can be understood that, in practical applications, there are various types of deposit indicators, such as: statistics date, time stamp, banking institution, product category, credit generation amount and debit generation amount. Therefore, in the method provided by the embodiment of the application, in order to avoid consuming unnecessary computing resources, the data downloading device obtains the type of the deposit index required by the user from a data consumption system directly communicated with the user.
As a possible implementation manner, in order to further reduce consumption of computing resources and speed up efficiency of obtaining the real-time deposit index, in an embodiment of the present application, the real-time deposit transaction data includes: deposit transaction data on the current day. Correspondingly, the data consumption system is also used for receiving the deposit indexes before the current day sent by the big data platform and generating complete demand deposit indexes according to the demand deposit indexes and the deposit indexes before the current day. It should be noted that, the bank production system will count out the deposit indexes before the current day according to the final batch of the day on the current day, and store the deposit indexes in the big data platform. The data consumption system can acquire the deposit indexes from the big data platform to the previous day. Therefore, the implemented deposit transaction data in the embodiment of the application can be the deposit transaction data of the current day, so that the data consumption system in the embodiment of the application can calculate the complete demand deposit index according to the demand deposit index containing the deposit transaction data of the current day and the deposit index before the current day acquired in the big data platform. Therefore, the stream computing platform in the embodiment of the application can obtain the complete demand index only by computing the daily deposit index according to the daily deposit transaction data, so that the consumption of computing resources is reduced, and the efficiency of obtaining the real-time deposit index is accelerated.
As a possible implementation manner, in order to enable the method provided by the embodiment of the present application to obtain richer deposit index types, the method provided by the embodiment of the present application further includes obtaining bottoming data from a big data platform; the bottoming data includes a correspondence of a deposit transaction with a banking institution. Correspondingly, the method for obtaining the job execution result according to the real-time subscription data and the job configuration further comprises the following steps: and obtaining an operation execution result according to the real-time subscription data, the paving data and the operation configuration. In practical application, deposit transaction data only contains a website where a transaction occurs, so in order to obtain richer deposit index types, the deposit transaction data including the relationship between the website where the deposit transaction occurs and a banking institution can be obtained from the big data platform, and thus, a deposit index containing information of the banking institution is obtained. It should be noted that, the banking institution in the embodiment of the present application may include: a bank head office, a bank branch or a bank branch.
Referring to fig. 2, the figure is a signaling diagram of a method for obtaining a real-time deposit indicator according to an embodiment of the present application. As shown in fig. 2, the job execution construction section includes: and (4) carrying out flow calculation evaluation and loading operator configuration comprising a calculation algorithm, carrying out job configuration according to the running condition of a server where the flow calculation platform is positioned, and submitting the job. The stream computing platform then obtains the subscription data on the real-time data bus and publishes the execution results on the real-time data bus. The real-time collecting part in the embodiment of the application comprises a flow computing platform for collecting real-time data on a real-time data bus. The data bedding part in the embodiment of the application comprises the steps that the stream computing platform carries out data bedding preparation, and then bedding data are obtained from the big data platform and are paved.
A specific list of embodiments of the present application will be described below: in the embodiment of the present application, as an example, the real-time subscription data may include implementation data of the following aspects:
| serial number | Chinese table name | English table name |
| 1 | Financial transaction statement | XXX |
| 2 | Statement of current transaction | XXX |
| 3 | Notification deposit statement | XXX |
| 4 | Deposit list for whole deposit | XXX |
| 5 | Deposit list for both fixed and living feces | XXX |
| 6 | Whole deposit statement | XXX |
By the method provided by the embodiment of the application, the finally obtained real-time deposit index can comprise the following data:
wherein the field name is a category designation name of the real-time deposit index used in the data processing. The Chinese name is the category name of the real-time deposit index. Examples are the actual content of the real-time deposit indicators.
To sum up, the embodiment of the present application provides a method for obtaining a real-time deposit index and a stream computing platform, where the method includes: obtaining real-time subscription data; the real-time subscription data comprises the type of a demand deposit index and real-time deposit transaction data corresponding to the type; acquiring an operation execution result according to the real-time subscription data and the operation configuration; the job configuration includes job execution rules; and the execution result comprises the demand deposit index. Therefore, the method for obtaining the real-time deposit index can obtain the real-time deposit index by obtaining the real-time deposit transaction data and processing the obtained real-time deposit transaction data in real time according to the operation configuration.
According to the method for obtaining the real-time deposit index provided by the embodiment, the embodiment of the application also provides a stream computing platform.
Referring to fig. 3, a schematic structural diagram of a stream computing platform according to an embodiment of the present disclosure is shown. As shown in fig. 3, a stream computing platform provided in an embodiment of the present application includes: a data obtaining module 100, configured to obtain real-time subscription data; the real-time subscription data comprises the type of the demand deposit index and real-time deposit transaction data corresponding to the type; a result obtaining module 200, configured to obtain a job execution result according to the real-time subscription data and the job configuration; the job configuration includes job execution rules; the execution result comprises the demand deposit index.
In this embodiment of the present application, as a possible implementation manner, the acquiring real-time subscription data includes: obtaining real-time subscription data from a real-time data bus; the stream computing platform further comprises: and the sending module is used for sending the execution result to the real-time data bus. The real-time subscription data is sent to a real-time data bus by the data downloading device; and real-time deposit transaction data corresponding to the type in the real-time subscription data is obtained from a bank production system by the data downloading device.
In the embodiment of the application, as a possible implementation manner, the type of the demand deposit index is provided to the data downshifting device by the data consumption system; and the data consumption system is used for acquiring the execution result from the real-time data bus.
In the embodiment of the present application, as a possible implementation manner, the real-time deposit transaction data includes: deposit transaction data on the current day; the data consumption system is also used for receiving the deposit indexes before the current day sent by the big data platform and generating complete demand deposit indexes according to the demand deposit indexes and the deposit indexes before the current day.
In this embodiment, as a possible implementation manner, the stream computing platform further includes: the paving data acquisition module is used for acquiring paving data from the big data platform; the bottoming data includes a correspondence between a deposit transaction and a banking institution. The result obtaining module is specifically configured to: and obtaining an operation execution result according to the real-time subscription data, the paving data and the operation configuration.
Therefore, the stream computing platform provided by the application can obtain real-time deposit indexes by obtaining the real-time deposit transaction data and processing the obtained real-time deposit transaction data in real time according to the operation configuration.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.
It should be noted that, in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. The method disclosed by the embodiment corresponds to the system disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the system part for description.
It should also 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 identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing description of the disclosed embodiments will enable those skilled in the art to make or use the invention in various modifications to these embodiments, which will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for obtaining a real-time deposit indicator, the method being applied to a stream computing platform, the method comprising:
obtaining real-time subscription data; the real-time subscription data comprises the type of a demand deposit index and real-time deposit transaction data corresponding to the type;
acquiring an operation execution result according to the real-time subscription data and the operation configuration; the job configuration includes job execution rules; and the execution result comprises the demand deposit index.
2. The method of claim 1, wherein obtaining real-time subscription data comprises:
obtaining real-time subscription data from a real-time data bus;
the method further comprises the following steps:
and sending the execution result to the real-time data bus.
3. The method of claim 2, wherein the real-time subscription data is sent to the real-time data bus by a data downshifting device;
and real-time deposit transaction data corresponding to the type in the real-time subscription data is obtained by the data downshifting device from a bank production system.
4. The method of claim 3, wherein the demand deposit indicator is of a type provided to the data move down device by a data consumption system;
and the data consumption system is used for acquiring the execution result from the real-time data bus.
5. The method of claim 4, wherein the real-time deposit transaction data comprises: deposit transaction data on the current day;
the data consumption system is also used for receiving deposit indexes before the current day sent by the big data platform and generating complete demand deposit indexes according to the demand deposit indexes and the deposit indexes before the current day.
6. The method of claim 1, further comprising:
acquiring bottoming data from a big data platform; the bottoming data comprises a corresponding relation between deposit transaction and a banking institution;
the obtaining of the job execution result according to the real-time subscription data and the job configuration includes:
and obtaining an operation execution result according to the real-time subscription data, the paving data and the operation configuration.
7. A stream computing platform, comprising:
the data acquisition module is used for acquiring real-time subscription data; the real-time subscription data comprises the type of a demand deposit index and real-time deposit transaction data corresponding to the type;
the result obtaining module is used for obtaining a job execution result according to the real-time subscription data and the job configuration; the job configuration includes job execution rules; and the execution result comprises the demand deposit index.
8. The stream computing platform of claim 7, wherein the obtaining real-time subscription data comprises:
obtaining real-time subscription data from a real-time data bus;
the stream computing platform further comprises:
and the sending module is used for sending the execution result to the real-time data bus.
The real-time subscription data is sent to the real-time data bus by the data downward moving device;
and real-time deposit transaction data corresponding to the type in the real-time subscription data is obtained by the data downshifting device from a bank production system.
9. The stream computing platform of claim 8, wherein the demand deposit indicator is of a type provided to the data move-down device by a data consumption system;
and the data consumption system is used for acquiring the execution result from the real-time data bus.
10. The stream computing platform of claim 9, wherein the real-time deposit transaction data comprises: deposit transaction data on the current day;
the data consumption system is also used for receiving deposit indexes before the current day sent by the big data platform and generating complete demand deposit indexes according to the demand deposit indexes and the deposit indexes before the current day.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020091991A1 (en) * | 2000-05-11 | 2002-07-11 | Castro Juan Carlos | Unified real-time microprocessor computer |
| CN101611430A (en) * | 2006-12-21 | 2009-12-23 | 美国银行公司 | Commercial money is handled and Service Management |
| CN110781238A (en) * | 2019-10-08 | 2020-02-11 | 中国建设银行股份有限公司 | Client view caching method and device based on combination of Redis and Hbase |
-
2020
- 2020-12-31 CN CN202011637253.1A patent/CN112634030A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020091991A1 (en) * | 2000-05-11 | 2002-07-11 | Castro Juan Carlos | Unified real-time microprocessor computer |
| CN101611430A (en) * | 2006-12-21 | 2009-12-23 | 美国银行公司 | Commercial money is handled and Service Management |
| CN110781238A (en) * | 2019-10-08 | 2020-02-11 | 中国建设银行股份有限公司 | Client view caching method and device based on combination of Redis and Hbase |
Non-Patent Citations (1)
| Title |
|---|
| 周鹏: "基于 Spark 流计算框架的 银行实时存贷款规模系统设计与实现", 中国金融电脑 * |
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