CN116797323A - Data processing method, device and equipment - Google Patents
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Abstract
The application provides a data processing method, a data processing device and data processing equipment. The data processing method comprises the following steps: acquiring a data source of a sample flight in an air ticket distribution system; performing countdown detection processing on the data source to obtain a processing result; determining the data state of the data source according to the processing result; and controlling the quotation state of the data source according to the data state of the data source. The scheme of the application can detect the data source and determine the data state of the data source, thereby guaranteeing the quotation effectiveness and the price checking passing rate of the data source.
Description
Technical Field
The present application relates to the field of computer information processing technologies, and in particular, to a data processing method, apparatus, and device.
Background
The online air ticket distribution comprises the following characteristics:
1. large data volume
The most important data of the air ticket distributor is flight freight rate data, which is the sum of flight time and a corresponding series of flight freight rates and services, wherein the flight time and freight rates need to be issued one year in advance, in addition, from the annual issued flight schedule, the global number of flights is calculated in hundreds of thousands, the product of the two is all flights which can be inquired through an online travel platform, meanwhile, each flight has different freight rate rules, cabins, activities and the like, and the quotation data which all air ticket distributors need to provide for a downstream distribution platform is massive data;
2. data instability of data sources
The data sources of the ticket distributor include the following: the global distribution system, the airline company official network or APP (Application program) and the airline company API, wherein the global distribution system and the airline company API are a set of systems which are deployed in the world and are specially used for ticket distribution, flight time and freight rate data of an airline company are recorded in advance and can be regarded as stable data sources, but the airline company official network or the airline company APP is an unstable data source, because the airline company is similar to other Internet applications and can be an irregular upgrading system, service is often unavailable during the upgrading system, and the airline company can be upgraded once every week on average from a statistical perspective;
3. large concurrent access
Along with the gradual maturity of online tourist platforms, the demands of global passengers for inquiring and reserving air tickets in an online manner also show blowout type growth, hundreds of millions of online tourist platforms in China are inquired for the air tickets every day at present, the concurrent access amount is large, and the influence of error data is amplified;
under the background of massive data and high concurrent access quantity, the accuracy of the air ticket freight rate data is ensured, and aiming at an unstable upstream data source, the optimization of a caching strategy is insufficient to ensure the data quality and meet the quality requirement of a downstream platform, and the unavailable data source can cause quick pull-down of the price checking passing rate within a period of tens of minutes, so that the irrecoverable influence is caused to the data quality.
Disclosure of Invention
The application aims to provide a data processing method, a device and equipment. The data source can be detected, and the data state of the data source can be determined, so that the quotation effectiveness and the price checking passing rate of the data source are ensured.
In order to solve the technical problems, the technical scheme of the application is as follows:
a method of data processing, the method comprising:
acquiring a data source of a sample flight in an air ticket distribution system;
performing countdown detection processing on the data source to obtain a processing result;
determining the data state of the data source according to the processing result;
and controlling the quotation state of the data source according to the data state of the data source.
Optionally, performing a round-trip detection process on the data source to obtain a processing result, including:
when the quotation of the data source is started, carrying out single round number detection processing on the data source to obtain a first processing result;
when the first processing result is that the number of rounds is invalid, performing first round continuous number of rounds detection processing on the data source to obtain a second processing result;
and when the second processing result is that the effective number of times of the rounds is smaller than a first preset value, after the first preset duration, performing a second round of continuous round number detection processing on the data source to obtain a third processing result.
Optionally, determining the data state of the data source according to the processing result includes:
and according to the third processing result, determining that the data state of the data source is an unavailable state.
Optionally, controlling the state of the offer of the data source according to the data state of the data source includes:
and controlling the quotation closing of the data source according to the unavailable state of the data source.
Optionally, performing a round-trip detection process on the data source to obtain a processing result, including:
when the quotation of the data source is closed, carrying out single round trip detection processing on the data source to obtain a fourth processing result;
and when the fourth processing result is that the round number is effective, continuously detecting the round number of the data source to obtain a fifth processing result.
Optionally, determining the data state of the data source according to the processing result includes:
and according to the fifth processing result, determining the data state of the data source as an available state.
Optionally, controlling the state of the offer of the data source according to the data state of the data source includes:
and controlling the quotation opening of the data source according to the available state of the data source.
The application also provides a data processing device, comprising:
the acquisition module is used for acquiring a data source of a sample flight in the air ticket distribution system;
the processing module is used for performing countdown detection processing on the data source to obtain a processing result; determining the data state of the data source according to the processing result; and controlling the quotation state of the data source according to the data state of the data source.
The present application also provides a processing apparatus comprising: a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the method as described above.
The present application also provides a readable storage medium having stored thereon a program or instructions which when executed by a processor performs the steps of the method as described above.
The scheme of the application at least comprises the following beneficial effects:
according to the scheme, the data source of the sample flight in the air ticket distribution system is obtained; performing countdown detection processing on the data source to obtain a processing result; determining the data state of the data source according to the processing result; and controlling the quotation state of the data source according to the data state of the data source. The data source can be detected, and the data state of the data source can be determined, so that the quotation effectiveness and the price checking passing rate of the data source are ensured.
Drawings
FIG. 1 is a flow chart of a data processing method according to an embodiment of the present application;
FIG. 2 is a flow chart of processing data when a bid for a data source is opened in accordance with an embodiment of the present application;
FIG. 3 is a flow chart of processing data when a bid for a data source is closed in accordance with an embodiment of the present application;
FIG. 4 is a block diagram of a data processing apparatus according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art.
As shown in fig. 1, an embodiment of the present application provides a data processing method, including:
step 11, acquiring a data source for acquiring a sample flight in an air ticket distribution system;
step 12, performing countdown detection processing on the data source to obtain a processing result;
step 13, determining the data state of the data source according to the processing result;
and 14, controlling the quotation state of the data source according to the data state of the data source.
In the embodiment of the application, the data processing method can detect the data source and determine the data state of the data source, so that the quotation effectiveness and the price checking passing rate of the data source are ensured.
It should be noted that, the round-trip detection may include performing an active non-service trigger access to a data source, and determining, through the round-trip detection, whether the data source can perform an effective round-trip according to a format and a duration required by a service; and when the detection time-out is caused by long-time non-counting of the data sources or the format of the counting of the data sources is wrong, judging that the counting is abnormal.
In an alternative embodiment of the present application, the step 11 may include:
step 111, obtaining the latest valid flight data from the latest cache data of the air ticket distribution system, wherein the latest valid flight data is used as a data source of a sample flight, and the sample flight is not repeated in the same day.
In this embodiment, by the above-mentioned acquisition method, the influence of the change of the sample flight and the timeliness of the cached data on the processing result can be reduced.
In an alternative embodiment of the present application, step 12 may include:
step 121, when the quotation of the data source is opened, performing single round number detection processing on the data source to obtain a first processing result;
step 122, when the first processing result is that the number of rounds is invalid, performing a first round of continuous number of rounds of detection processing on the data source to obtain a second processing result;
and step 123, when the second processing result is that the effective number of times of the rounds is smaller than the first preset value, performing a second round of continuous round number detection processing on the data source after the first preset duration to obtain a third processing result.
In specific implementation, step 13 may include:
and 131, determining that the data state of the data source is an unavailable state according to the third processing result.
Further, step 14 may include:
and step 141, controlling the quotation closing of the data source according to the unavailable state of the data source.
In this embodiment, when the offer of the data source is opened, a single round of round trip detection is performed on the data source every a first preset time period until a round trip abnormality is detected, then two rounds of continuous round trip detection are performed, each round of detection is performed for the first preset time, if the round trip effective time is smaller than the first preset value, the processing result of the round of continuous round trip detection is the round trip abnormality, and if the processing result of the continuous round trip detection of the two rounds is the round trip abnormality, then it is determined that the data state of the data source is an unavailable state, and the offer of the data source is closed. Therefore, the data source can be rapidly and accurately detected in number, and when the number of the data source is abnormal, the quotation of the data source is closed in time, so that the effectiveness of the quotation of the data source and the price checking passing rate are ensured.
Wherein each successive round of detection is a successive plurality of detections of the data source.
It should be noted that, the first preset duration, the first preset times and the first preset value are modifiable variables, and may be dynamically adjusted according to actual requirements, and specifically, the first preset duration may include 5 minutes; the first preset number of times may include 10 times; the first preset value may be one half of the first preset number of times.
It should be noted that, the state of the data source may be determined according to whether the data source can perform effective countback according to the format and duration of the service requirement, if the data source does not count back for a long time, which results in detection timeout, or if the format of the data source counts back is wrong, the countback is abnormal, determining that the data state of the data source is an unavailable state, otherwise, the data state of the data source is an available state, when the data source is unavailable, the quotation of the data source may be closed within a second preset duration, which may be 10 minutes.
In an alternative embodiment of the present application, as shown in fig. 2, when the offer of the data source is opened, a specific implementation procedure of the data processing method may include:
step 21, when the quotation of the data source is started, carrying out single round number detection processing on the data source to obtain a first processing result;
step 22, if the first processing result is that the number of rounds is valid, after waiting for 5 minutes, performing single-round number detection processing (executed from step 21) on the data source, otherwise, performing first-round continuous number detection processing on the data source to obtain a second processing result; the first round number detection is continuously performed for 10 times;
step 23, if the second processing result is that the effective number of times of the rounds is greater than or equal to 5 times, after waiting for 5 minutes, performing single round number detection processing (executed from step 21) on the data source; otherwise, after waiting for 5 minutes, carrying out a second round of continuous number detection processing on the data source to obtain a third processing result; the second round number detection is continuously performed for 10 times;
step 24, if the third processing result is that the effective number of times of the rounds is greater than or equal to 5 times, after waiting for 5 minutes, performing single round number detection processing (executed from step 21) on the data source; otherwise, the second processing result and the third processing result are abnormal in number, the data state of the data source is determined to be an unavailable state, and the quotation closing of the data source is controlled.
In yet another alternative embodiment of the present application, step 12 may include:
124, when the quotation of the data source is closed, performing single round number detection processing on the data source to obtain a fourth processing result;
and step 125, when the fourth processing result is that the number of rounds is valid, performing continuous detection on the number of rounds on the data source to obtain a fifth processing result.
In specific implementation, step 13 may include:
and step 132, determining that the data state of the data source is an available state according to the fifth processing result.
Further, step 14 may include:
and step 142, controlling the quotation opening of the data source according to the available state of the data source.
In this embodiment, when the offer of the data source is closed, a round of single round number detection is performed on the data source every third preset time period until the round number is detected to be normal, a round of continuous round number detection is performed on the data source, a second preset number of times is detected each round, if the number of valid round number of times is greater than or equal to a second preset value, the processing result of the round of continuous round number detection is considered to be the round number normal, it is determined that the data state of the data source is restored to the available state, and the offer of the data source is started. Therefore, the data source can be rapidly and accurately detected, and when the data source returns to normal, the quotation of the data source is timely started, so that the effectiveness of the quotation of the data source and the price checking passing rate are ensured.
It should be noted that, the third preset duration, the second preset times and the second preset values are modifiable variables, and may be dynamically adjusted according to actual requirements, and specifically, the third preset duration may include 7 minutes; the second preset number of times may include 16 times; the second preset value may be one half of the second preset number of times.
In an alternative embodiment of the present application, as shown in fig. 3, when the offer of the data source is closed, a specific implementation procedure of the data processing method may include:
step 31, when the quotation of the data source is closed, performing single round number detection processing on the data source to obtain a fourth processing result;
step 32, if the fourth processing result is that the number of rounds is invalid, after waiting for 7 minutes, performing single-time number-round detection processing (executed from step 31) on the data source, otherwise, performing continuous number-round detection processing on the data source to obtain a fifth processing result; the continuous countdown detection is carried out for 16 times;
step 33, if the fifth processing result is that the number of times of effective times is less than 8, after waiting 7 minutes, performing a single time of round number detection processing (executed from step 31) on the data source; otherwise, controlling the quotation opening of the data source.
According to the embodiment of the application, by the data processing method, the unstable data source can be detected at fixed time, the data source is found to be in an unavailable state in time, and the quotation of the airline company is closed until the recovery of the data availability of the airline company is detected again, and the quotation is restarted. Thereby guaranteeing the quotation effectiveness and the price checking passing rate.
As shown in fig. 4, an embodiment of the present application further provides a data processing apparatus 40, the apparatus 40 including:
an acquisition module 41, configured to acquire a data source of a sample flight in the air ticket distribution system;
the processing module 42 is configured to perform a round trip detection processing on the data source to obtain a processing result; determining the data state of the data source according to the processing result; and controlling the quotation state of the data source according to the data state of the data source.
Optionally, performing a round-trip detection process on the data source to obtain a processing result, including:
when the quotation of the data source is started, carrying out single round number detection processing on the data source to obtain a first processing result;
when the first processing result is that the number of rounds is invalid, performing first round continuous number of rounds detection processing on the data source to obtain a second processing result;
and when the second processing result is that the effective number of times of the rounds is smaller than a first preset value, after the first preset duration, performing a second round of continuous round number detection processing on the data source to obtain a third processing result.
Optionally, determining the data state of the data source according to the processing result includes:
and according to the third processing result, determining that the data state of the data source is an unavailable state.
Optionally, controlling the state of the offer of the data source according to the data state of the data source includes:
and controlling the quotation closing of the data source according to the unavailable state of the data source.
Optionally, performing a round-trip detection process on the data source to obtain a processing result, including:
when the quotation of the data source is closed, carrying out single round trip detection processing on the data source to obtain a fourth processing result;
and when the fourth processing result is that the round number is effective, continuously detecting the round number of the data source to obtain a fifth processing result.
Optionally, determining the data state of the data source according to the processing result includes:
and according to the fifth processing result, determining the data state of the data source as an available state.
Optionally, controlling the state of the offer of the data source according to the data state of the data source includes:
and controlling the quotation opening of the data source according to the available state of the data source.
It should be noted that, the device is a device corresponding to the above method, and all implementation manners in the above method embodiments are applicable to the embodiment of the device, so that the same technical effects can be achieved.
The embodiment of the application also provides a processing device, which comprises: a processor, a memory storing a computer program which, when executed by the processor, performs the method as described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
Embodiments of the present application also provide a computer-readable storage medium comprising instructions which, when run on a computer, cause the computer to perform a method as described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
Furthermore, it should be noted that in the apparatus and method of the present application, it is apparent that the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present application. Also, the steps of performing the series of processes described above may naturally be performed in chronological order in the order of description, but are not necessarily performed in chronological order, and some steps may be performed in parallel or independently of each other. It will be appreciated by those of ordinary skill in the art that all or any of the steps or components of the methods and apparatus of the present application may be implemented in hardware, firmware, software, or a combination thereof in any computing device (including processors, storage media, etc.) or network of computing devices, as would be apparent to one of ordinary skill in the art after reading this description of the application.
The object of the application can thus also be achieved by running a program or a set of programs on any computing device. The computing device may be a well-known general purpose device. The object of the application can thus also be achieved by merely providing a program product containing program code for implementing said method or apparatus. That is, such a program product also constitutes the present application, and a storage medium storing such a program product also constitutes the present application. It is apparent that the storage medium may be any known storage medium or any storage medium developed in the future. It should also be noted that in the apparatus and method of the present application, it is apparent that the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present application. The steps of executing the series of processes may naturally be executed in chronological order in the order described, but are not necessarily executed in chronological order. Some steps may be performed in parallel or independently of each other.
While the foregoing is directed to the preferred embodiments of the present application, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations are intended to be comprehended within the scope of the present application.
Claims (10)
1. A method of data processing, the method comprising:
acquiring a data source of a sample flight in an air ticket distribution system;
performing countdown detection processing on the data source to obtain a processing result;
determining the data state of the data source according to the processing result;
and controlling the quotation state of the data source according to the data state of the data source.
2. The data processing method according to claim 1, wherein performing a round trip detection process on the data source to obtain a processing result comprises:
when the quotation of the data source is started, carrying out single round number detection processing on the data source to obtain a first processing result;
when the first processing result is that the number of rounds is invalid, performing first round continuous number of rounds detection processing on the data source to obtain a second processing result;
and when the second processing result is that the effective number of times of the rounds is smaller than a first preset value, after the first preset duration, performing a second round of continuous round number detection processing on the data source to obtain a third processing result.
3. The data processing method according to claim 2, wherein determining the data state of the data source based on the processing result comprises:
and according to the third processing result, determining that the data state of the data source is an unavailable state.
4. A data processing method according to claim 3, wherein controlling the status of the quotes of the data sources in accordance with the data status of the data sources comprises:
and controlling the quotation closing of the data source according to the unavailable state of the data source.
5. The data processing method according to claim 1, wherein performing a round trip detection process on the data source to obtain a processing result comprises:
when the quotation of the data source is closed, carrying out single round trip detection processing on the data source to obtain a fourth processing result;
and when the fourth processing result is that the round number is effective, continuously detecting the round number of the data source to obtain a fifth processing result.
6. The data processing method of claim 5, wherein determining the data state of the data source based on the processing result comprises:
and according to the fifth processing result, determining the data state of the data source as an available state.
7. The data processing method of claim 6, wherein controlling the status of the quote of the data source based on the data status of the data source comprises:
and controlling the quotation opening of the data source according to the available state of the data source.
8. A data processing apparatus, the apparatus comprising:
the acquisition module is used for acquiring a data source of a sample flight in the air ticket distribution system;
the processing module is used for performing countdown detection processing on the data source to obtain a processing result; determining the data state of the data source according to the processing result; and controlling the quotation state of the data source according to the data state of the data source.
9. A processing apparatus, comprising: a processor, a memory and a program or instruction stored on the memory and executable on the processor, which program or instruction when executed by the processor implements the steps of the method of any of claims 1-7.
10. A readable storage medium, characterized in that it stores thereon a program or instructions, which when executed by a processor, implement the steps of the method according to any of claims 1-7.
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| CN115361434A (en) * | 2022-08-04 | 2022-11-18 | 天津神舟通用数据技术有限公司 | Multipath heartbeat detection method under high load condition of distributed system |
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