CN110825959A - Data sending method and list data acquisition model selection method and device - Google Patents
Data sending method and list data acquisition model selection method and device Download PDFInfo
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Abstract
After an application program acquires a data request message sent by a client, acquiring target version engine data corresponding to a target engine data version identifier in a data engine, and acquiring target list data through a multi-value list data acquisition function capable of acquiring list data of a target version in a multi-value field. The method avoids the use of a plurality of data engines for storing the engine data of different versions, does not need to use a plurality of fields for storing the engine data of different versions, and can enable the application program to quickly and efficiently provide the list data outwards.
Description
Technical Field
The application relates to the field of internet, in particular to a data sending method and device. The application also relates to a method and a device for selecting the list data acquisition model.
Background
In recent years, with the development of internet technology, the use of application programs is distributed in all aspects of people's life, and great convenience is brought to people's life. Generally, an application program obtains engine data through a corresponding server and stores the obtained engine data in a data engine of the application program, and when the application program needs to provide data to an external object, such as a user or other application programs, the application program obtains corresponding engine data from the data engine of the application program by obtaining a corresponding data request message and provides the engine data to the external object.
At present, the AB experiment capability of engine data of an application program is poor, and the AB experiment of the engine data means that in a test stage, when the application program acquires data of the same category, multiple versions of the data of the category are often acquired, when the application program provides the engine data through a data engine of the application program, different versions of the engine data are generally provided to different external objects in a targeted manner, and performance information of the engine data of the different versions is evaluated by continuously tracking subsequent effects of the data, so as to determine which version of the engine data is used for online use. For example, for a store-network leader board, the application may provide A, B two versions of the leader data at the same time, and when providing the leader data to the outside, the application typically provides the user 1-user 100 with the leader data of version a, provides the user 200-user 300 with the leader data of version B, keeps track of the page click rate and the amount of orders brought by different versions of the leader data, and determines A, B the performance of the two versions of the leader data according to the data to finally decide which version to use.
When a data engine of an application program performs an AB experiment, a common method for engine data of different versions is as follows: 1. establishing a plurality of data engines, storing engine data of different versions in different engines, and determining which data engine's engine data is used through data request information of an external object; 2. in the same data engine, aiming at engine data of different versions, a plurality of data item fields of different versions are correspondingly arranged. The above methods all have certain disadvantages, wherein the first scheme wastes too much storage resources; in the second scheme, with the continuous increase of data item fields, the performance of the data engine is reduced, and even the data engine is not usable. Due to the defects, the problems of untimely data supply and low efficiency often exist in the process of carrying out AB experiments by the existing application programs.
Disclosure of Invention
The application provides a data sending method, which aims to solve the problems of untimely data supply and low efficiency existing in the process of carrying out an AB experiment by an existing application program.
The application provides a data transmission method, which comprises the following steps:
acquiring a data request message sent by a client, wherein the data request message is used for acquiring list data corresponding to a target list category identifier;
acquiring a target engine data version identification and target version engine data corresponding to the target engine data version identification, wherein the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target version engine data comprises list data of at least one version corresponding to the target list category identification;
acquiring function information according to the target engine data version identification and multi-valued list data, and acquiring target list data from the target engine data;
and providing the target engine data version identification and the target list data to the client.
Optionally, the obtaining the target engine data version identifier includes:
acquiring a user identifier and the target list category identifier from the data request message;
and acquiring the target engine data version identification according to the user identification and the target list category identification.
Optionally, the obtaining the target engine data version identifier according to the user identifier and the target list category identifier includes:
according to the user identification, obtaining an engine data version identification corresponding to the user identification from the corresponding relation between the user identification and the engine data version identification;
and acquiring the target engine data version identification according to the target list category identification and the engine data version identification corresponding to the user identification.
Optionally, the obtaining of the target version engine data corresponding to the target engine data version identifier includes:
obtaining engine data including the target engine data version identification from total engine data, and taking the engine data including the target engine data version identification as the target version engine data, wherein the total engine data includes list data of at least one version corresponding to at least one list category identification.
Optionally, the list data of the at least one version corresponding to the target list category identifier is obtained through the following steps:
acquiring a business object corresponding to the target list category identification;
acquiring source data related to the business object;
performing data mining processing on the source data to acquire list data of at least one version of the business object;
and taking the list data of at least one version of the business object as the list data of at least one version corresponding to the target list category identification.
Optionally, the obtaining of the service object corresponding to the target list category identifier includes:
acquiring a service category identification corresponding to the target list category identification;
and acquiring a business object corresponding to the target list category identification and the business category identification.
Optionally, the performing data mining on the source data to obtain the list data of at least one version of the business object includes:
and performing data mining processing on the source data by using at least one list data acquisition model corresponding to the target list category identification and the business category identification to acquire list data of at least one version of the business object.
Optionally, the obtaining the listing data of the at least one version of the business object by performing data mining on the source data by using the at least one listing data obtaining model corresponding to the target listing category identifier and the business category identifier includes:
acquiring a first list data acquisition model;
performing data mining processing on the source data by using the first list data acquisition model to acquire first list data of the business object;
acquiring a first to-be-stored engine data record of the business object according to the first list data; writing the first engine data record to be stored into total engine data, and acquiring first version engine data for the business object, wherein the total engine data comprises at least one version of list data corresponding to at least one list category identifier.
Optionally, the obtaining the first to-be-stored engine data record of the business object according to the first list data includes:
storing the content of at least one data item in the first list data into at least one multi-value engine data item of the business object, wherein the multi-value engine data item is used for storing the content of a plurality of versions of the same data item of the business object;
and acquiring a first engine data record to be stored of the business object according to the at least one multi-value engine data item.
Optionally, the multi-value list data obtaining function information includes multi-value version position information obtaining function information and multi-value list data item obtaining function information;
the acquiring function information according to the target engine data version identification and the multi-valued list data and acquiring the target list data from the target version engine data comprises the following steps:
obtaining the engine data record to be processed from the target version engine data
Acquiring function information according to the multi-valued version position information, and acquiring position information of list data corresponding to the target engine data version identification in a multi-valued engine data item of the to-be-processed engine data record;
and acquiring function information and the position information according to the multi-valued list data item, and acquiring the target list data from the multi-valued engine data item recorded by the to-be-processed engine data.
Optionally, after the target list data is acquired, the target list data is subjected to ranking processing, and the ranked target list data is acquired;
the providing the target engine data version identification and the target list data to the client comprises:
and providing the target engine data version identification and the sorted target list data to the client.
Optionally, the to-be-processed engine data record includes a multi-valued engine data item storing an engine data version identifier;
the obtaining, according to the multi-valued version position information obtaining function information, position information of the list data corresponding to the target engine data version identifier in the multi-valued engine data item of the to-be-processed engine data record includes:
and acquiring function information according to the multi-valued version position information, and acquiring position information of the list data corresponding to the target engine data version identification in the multi-valued engine data item of the to-be-processed engine data record from the multi-valued engine data item in which the engine data version identification is stored.
The present application further provides a data transmission apparatus, including:
the system comprises a message acquisition unit, a data processing unit and a processing unit, wherein the message acquisition unit is used for acquiring a data request message sent by a client, and the data request message is used for acquiring list data corresponding to a target list category identifier;
the engine data acquisition unit is used for acquiring a target engine data version identifier and acquiring target version engine data corresponding to the target engine data version identifier, wherein the target engine data version identifier is used for identifying an engine data version corresponding to the list data, and the target version engine data comprises at least one version of list data corresponding to the target list category identifier;
the list data acquisition unit acquires function information according to the target engine data version identification and the multi-valued list data, and acquires target list data from the target version engine data;
and the data sending unit is used for providing the target engine data version identification and the target list data to the client.
The application further provides a method for selecting the list data acquisition model, which comprises the following steps:
acquiring a target engine data version identification and target list data provided by a server, wherein the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target list data is acquired according to multi-valued list data acquisition function information;
acquiring performance information of target version engine data corresponding to the target engine data version identification according to the target engine data version identification and embedded point information corresponding to the target list data, wherein the embedded point information is used for acquiring business data related to the target list data;
and selecting a target list data acquisition model for acquiring list data according to the performance information.
The application further provides a list data acquisition model selection device, which includes:
the system comprises a data acquisition unit, a database unit and a database unit, wherein the data acquisition unit is used for acquiring a target engine data version identification and target list data provided by a server, the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target list data is acquired according to multi-valued list data acquisition function information;
the performance information acquisition unit is used for acquiring performance information of target version engine data corresponding to the target engine data version identification according to the target engine data version identification and buried point information corresponding to the target list data, wherein the buried point information is used for acquiring business data related to the target list data;
and the model selection unit is used for selecting a target list data acquisition model for acquiring list data according to the performance information.
Compared with the prior art, the method has the following advantages:
the application provides a data sending method, which comprises the following steps: acquiring a data request message sent by a client, wherein the data request message is used for acquiring list data corresponding to a target list category identifier; acquiring a target engine data version identification and target version engine data corresponding to the target engine data version identification, wherein the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target version engine data comprises list data of at least one version corresponding to the target list category identification; acquiring function information according to the target engine data version identification and multi-valued list data, and acquiring target list data from the target engine data; and providing the target engine data version identification and the target list data to the client.
According to the data sending method, after an application program obtains a data request message sent by a client, target version engine data corresponding to a target engine data version identification is obtained in a data engine, and target list data are obtained through a multi-value list data obtaining function corresponding to multi-value list data obtaining function information of the list data of the target version in a multi-value field. The method avoids using a plurality of data engines to store engine data of different versions, and does not need to use a plurality of fields to store the engine data of different versions, so that the application program can provide data to the outside quickly and efficiently.
The application further provides a method for selecting the list data acquisition model, which comprises the following steps: acquiring a target engine data version identification and target list data provided by a server, wherein the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target list data is acquired according to multi-valued list data acquisition function information; acquiring performance information of target version engine data corresponding to the target engine data version identification according to the target engine data version identification and embedded point information corresponding to the target list data, wherein the embedded point information is used for acquiring business data related to the target list data; and selecting a target list data acquisition model for acquiring list data according to the performance information.
Target list data used in the list data acquisition model selection method are quickly acquired by the server according to multi-valued list data acquisition function information and provided for an application program to use; after the application program obtains the target list data provided by the server and the corresponding target engine data version identification, acquiring performance information of the target version engine data corresponding to the target engine data version identification through corresponding embedded point information; further, a target list data acquisition model for acquiring list data can be quickly selected through the performance information.
Drawings
Fig. 1 is a schematic view of an application scenario of a data transmission method according to a first embodiment of the present application;
fig. 2 is a flowchart of a data transmission method according to a first embodiment of the present application;
fig. 3 is a flowchart of a method for selecting a list data obtaining model according to a second embodiment of the present application;
fig. 4 is a schematic diagram of a data transmission apparatus according to a third embodiment of the present application;
fig. 5 is a schematic diagram of a apparatus for selecting a list data obtaining model according to a fourth embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of implementation in many different ways than those herein set forth and of similar import by those skilled in the art without departing from the spirit of this application and is therefore not limited to the specific implementations disclosed below.
First, in order to enable those skilled in the art to better understand the scheme of the present application, a detailed description is given below to a specific application scenario of an embodiment of the data transmission method provided in the present application. As shown in fig. 1, it is a schematic view of an application scenario of a data transmission method according to a first embodiment of the present application.
In a particular real-time process, the data transmission method implemented by the present application generally includes, when the user 101 searches the list data corresponding to the target list category identification using a corresponding application on the computing device 102, the application program responds to an operation request of the user 101, sends a data request message for acquiring the list data corresponding to the target list category identification to the computing device 103, and after the computing device 103 acquires the data request message sent by the application program, firstly, acquiring a target engine data version identification, acquiring target version engine data corresponding to the target engine data version identification, wherein the target engine data version identification is to identify an engine data version corresponding to the listing data, the target version engine data comprises list data of at least one version corresponding to the target list category identification; then, the computing device 103 acquires function information according to the target engine data version identification and the multi-valued list data, and acquires target list data from the target version engine data; then, the computing device 103 provides the target engine data version identification and the target list data to the application; after the application program obtains the target list data, the target list data is displayed on a display device carried by or connected to the computing device 102 for the user 101 to view.
It should be noted that, in the above description, for example, the user 101 triggers the application program in the computing device 102 to send a request message for acquiring the target list data corresponding to the target list category identifier, how the computing device 103 acquires the target list data of the target version is described in detail, and the detailed description is provided to the user 101 for viewing the processing flow of the target list data. In the actual processing, other external objects, such as other application programs, may also send a request message for obtaining the list data corresponding to the target list category identifier to the computing device 103 based on a certain business processing requirement, and after the computing device 103 obtains the request message, provide the target list data to the application program.
In addition, in this embodiment, the computing device 102 mainly refers to a mobile terminal device used by the user 101, such as a mobile phone, a tablet computer, and the like, and may also be a computer device used by the user 101; computing device 103 is primarily referred to as a server-side computing device.
The target list category identifier is an identifier for indicating a list category of the list data requested by the application program, and may specifically be a string of globally unique characters including english digital content. For example, when the application requests a web leader board for a store, it can be represented by a list category identifier "onlcel".
The list data generally refers to ranking data of a plurality of business objects corresponding to a certain business category of the application program in a certain type of list. The service type refers to a service type divided according to different services in the application program, and for example, for a store service, the service type may be marked as a store type; the business for the pet can be labeled as a pet category, and the like. The Business Object (Business Object) mainly refers to an abstraction of a series of real-world entity objects with the same Business attributes in an application program, and is usually a string of characters composed of english numbers. For example, the list data of the cyber-entrance list for the restaurant store may be { "shop _ id": "5", "shop _ name": "xx store", "top _ tags": "onlcel", "top _ values": "305", wherein a shop _ id represents an identifier of a specific entity object in a network red list, a shop _ name represents an actual name of the specific entity object, a top _ tags represents a list category identifier corresponding to the specific entity object, and a top _ values is ranking data of the entity object in a list corresponding to the list category identifier. Of course, this is just one example of the list data, and in actual implementation, other forms are also possible, and this is not limited here.
The target engine data version identification is used for identifying the engine data version corresponding to the list data. The engine data version is used for identifying version identification corresponding to different engine data. In this embodiment, the engine data version is mainly used to identify a version of engine data corresponding to the list data requested by the application in total engine data, where the total engine data includes list data of at least one version corresponding to at least one list category identification. For example, in the total engine data, three versions of engine data may exist simultaneously in the list data of the web site in the store, for example, engine data of three versions of "onlcel _ a", "onlcel _ B", and "onlcel _ C", and when the content of the target engine data version identifier is "onlcel _ a", it indicates that the list data requested by the application program is correspondingly present in the engine data including the engine data version identifier "onlcel _ a".
In addition, in this embodiment, in order to solve the problems of data supply failure and low efficiency when the existing application performs the AB experiment, multiple versions of engine data are simultaneously stored in a multi-value engine data field, specifically, a data field in which multiple values can be simultaneously stored. For example, in this embodiment, for list data of different business categories, a multi-value field "top _ tags" and "top _ values" exists in one engine data record in the total engine data, and similarly for "xx store", if there are three versions of netpage list data corresponding to the "xx store", the corresponding engine data record in the total engine data may be { "shop _ id": "5", "shop _ name": "xx store", "top _ tags": "onlcel _ a, onlcel _ B, onlcel _ C", "top _ values": "305, 312, 309"}. Of course, this is merely an example, and in practice, other forms are possible, and are not described here again.
The multi-value list data acquisition function information is information used for representing a function which can acquire the list data corresponding to the target engine data version identification from a multi-value data field of the engine data record. For example, information of a multivalued version location information acquisition function for acquiring an index location of engine data of a target version in a multivalued engine data item: get _ string _ index ("multivalued engine data item storing engine data version identification", "target version identification", and-1), wherein the third parameter of the function represents the default return value of the function, i.e. the function returns "-1" when the engine data of the target version is not present; and multi-valued list data acquisition function information for acquiring the specific content of the list data of the target version: get _ attr _ int64_ value ("engine data item storing multiple versions of the list data", "target version data location information", 0), where the third parameter of the function represents the default return value of the function, i.e., the function returns "0" when the list data of the target version is not present. It should be noted that, in specific implementation, different functions may be correspondingly set according to different contents or types of the multiple-valued engine data items in the engine data record, and details are not described here.
As shown in fig. 2, which is a flowchart of a data transmission method according to a first embodiment of the present application, the embodiment is described in detail below with reference to fig. 2.
Step S201, acquiring a data request message sent by a client, where the data request message is used to acquire the list data corresponding to the target list category identifier.
In this embodiment, the client may specifically be a computing device used by the user, or may be other application programs that need to acquire the list data. For example, the user may operate an application on his/her mobile phone to send the data request message, or other server applications may send the data request message to an application that can provide the list data in the application based on a certain business process.
For example, when a user uses an application program on a mobile phone to view the network leader board data of a store, the application program responds to the operation request of the user to acquire a user identifier of the user, a list category identifier of the network leader board of the store and a business category identifier corresponding to the network leader board of the store, and generates a data request message for acquiring the list data of the network leader board of the store. For example, the data request message may be { "user ID": "201908080201", "traffic class identification": "SHOP", "target list category identification": "onlcel", of course, in a specific implementation, the data request message may further include information such as current area location information of the user, information of a city where the user is located, and the like, which is not described herein one by one.
After the step S201, executing the step S202, obtaining a target engine data version identifier, and obtaining target version engine data corresponding to the target engine data version identifier, where the target engine data version identifier is used to identify an engine data version corresponding to the list data, and the target version engine data includes at least one version of list data corresponding to the target list category identifier.
In step S201, the client responds to an operation request of a user, and sends a data request message for acquiring the list data corresponding to the target list category identifier to the server; then, after the server side obtains the data request message, obtaining corresponding list data from total engine data according to the data request message, wherein the total engine data comprises the list data of at least one version corresponding to at least one list category identifier. However, when the application performs the AB experiment, the total engine data of the server usually includes list data of different versions of different list category identifiers, and therefore, in order to acquire appropriate list data, it is necessary to acquire the target engine data version identifier corresponding to the list data requested by the data request message first.
The obtaining of the target engine data version identification includes: acquiring a user identifier and the target list category identifier from the data request message; and acquiring the target engine data version identification according to the user identification and the target list category identification.
The obtaining the target engine data version identifier according to the user identifier and the target list category identifier includes: according to the user identification, obtaining an engine data version identification corresponding to the user identification from the corresponding relation between the user identification and the engine data version identification; and acquiring the target engine data version identification according to the target list category identification and the engine data version identification corresponding to the user identification.
Specifically, after the server acquires the data request message sent by the client, a user identifier and a target list category identifier of a user are acquired from the data request message, and the target engine data version identifier is acquired according to the user identifier and the target list category identifier.
Generally, when an application program performs an AB experiment, when a client requests corresponding data from the server, the server allocates corresponding version of engine data to a user or a client fixed with a fixed user identifier or a fixed device identifier according to a user identifier of the user or a device identifier of a client device, for example, for a data request of obtaining list data of a web red list of a store by the user, a version a, that is, engine data with a version identifier of "onlcel _ a", is fixedly allocated to the user with the user identifier in a range of "201908080000" - "201908081000".
The obtaining of the target version engine data corresponding to the target engine data version identifier includes: obtaining engine data including the target engine data version identification from total engine data, and taking the engine data including the target engine data version identification as the target version engine data, wherein the total engine data includes list data of at least one version corresponding to at least one list category identification.
The general engine data corresponding to the application program simultaneously contains different versions of engine data of different business categories and different list categories. For example, in the total engine data, there may be engine data of business categories such as store, pet, flower, etc. at the same time, and specifically, in a certain business category, for example, in the engine data of the store as the business category, there may also be engine data of different versions of different list categories of different business objects belonging to the business category at the same time, for example, in the total engine data, list data { "shop _ id" of a netpage list of different versions of a physical object whose physical object is "XX store" may exist: "5", "shop _ name": "xx store", "top _ tags": "onlcel _ a, onlcel _ B, onlcel _ C", "top _ values": "305, 312, 309", or list data { "shop _ id" of top lists of different versions of the entity object may exist simultaneously: "5", "shop _ name": "xx store", "top _ tags": "bestsell _ a, bestsell _ B, bestsell _ C", "top _ values": "405, 412, 409" } and the like.
Therefore, after receiving the data request message sent by the client, the method aims to obtain target list data corresponding to the list data and reduce the number of engine data to be processed. In this embodiment, first, according to the user identifier and the list category identifier in the data request message, the target engine data version identifier is obtained, and according to the target engine data version identifier, in the total engine data, engine data including the target engine data version identifier is obtained, and the engine data including the target engine data version identifier is used as target version engine data for subsequent data processing.
It should be noted that the list data of at least one version corresponding to the target list category identifier is obtained through the following steps: acquiring a business object corresponding to the target list category identification; acquiring source data related to the business object; performing data mining processing on the source data to acquire list data of at least one version of the business object; and taking the list data of at least one version of the business object as the list data of at least one version corresponding to the target list category identification.
Specifically, the acquiring the business object corresponding to the target list category identifier includes: acquiring a service category identification corresponding to the target list category identification; and then, acquiring the business object corresponding to the target list category identification and the business category identification.
Generally, when the server side acquires the engine data again, the engine data is acquired in different modules according to different service classifications. For example, for engine data of a store classification, generally, a server first obtains business objects corresponding to the store classification, such as "store 1", "store 2", and the like, in corresponding modules, and then obtains data related to the business objects from different data sources.
The performing data mining processing on the source data to obtain list data of at least one version of the business object includes: and performing data mining processing on the source data by using at least one list data acquisition model corresponding to the target list category identification and the business category identification to acquire list data of at least one version of the business object.
The list data acquisition model is a model for acquiring list data of a business object by using a corresponding list data acquisition algorithm, and input data of the model is data related to the business object, such as sales data and evaluation data of the business object; the list data acquisition algorithm can be specifically set according to different requirements, and details are not repeated here.
In addition, the obtaining the listing data of at least one version of the business object by performing data mining on the source data by using at least one listing data obtaining model corresponding to the target listing category identifier and the business category identifier includes: acquiring a first list data acquisition model; then, using the first list data acquisition model to perform data mining processing on the source data to acquire first list data of the business object; then, acquiring a first to-be-stored engine data record of the business object according to the first list data; and writing the first engine data record to be stored into total engine data, and acquiring first version engine data for the business object, wherein the total engine data comprises at least one version of list data corresponding to at least one list category identifier.
The obtaining of the first to-be-stored engine data record of the business object according to the first list data includes: storing the content of at least one data item in the first list data into at least one multi-value engine data item of the business object, wherein the multi-value engine data item is used for storing the content of a plurality of versions of the same data item of the business object; and acquiring a first engine data record to be stored of the business object according to the at least one multi-value engine data item.
Here, the description is given by taking the example of obtaining the list data of the web red list with the business category as the store, and the server obtains the business object corresponding to the store category, such as the entity object "xx store", and obtains the list data of the web red lists of different versions of the entity object "xx store" through the following processes. First, source data related to the entity object "xx store" is acquired, and then, at least one version of the entity object "xx store" is acquired using a list data acquisition model of at least one web red list, that is, a model composed of at least one list data acquisition algorithm of the web red list, such as list data of web red lists acquired to the entity object "xx store" using three versions of "oncel _ a", "oncel _ B", "oncel _ C" of the web red list, which may be expressed as [ { "label _ value": "onlcel _ a", "score": 305}, { "label _ value": "onlcel _ B": "score": 312}, { "label _ value": "onlcel _ C", "score": 309} ], after list data of the web leaderboards of different versions of the entity store are acquired, contents in data items in the list data of the web leaderboards of the three versions of the entity object "xx store" may be respectively stored in at least one multivalued engine data item corresponding to the entity object "xx store", and an engine data record to be stored of the entity object "xx store" may be acquired according to the at least one multivalued engine data item. As for the list data of the web leaderboard of the above three versions, it is correspondingly stored to the multivalued engine data item { "top _ tags": "onlcel _ a, onlcel _ B, onlcel _ C" }, and multivalued engine data item { "top _ values": in "305, 312, 309", and according to the two multi-value engine data items, obtaining an engine data record to be stored { "shop _ id" corresponding to the entity object "xx store": "5", "shop _ name": "xx store", "top _ tags": "onlcel _ a, onlcel _ B, onlcel _ C", "top _ values": "305, 312, 309", and writing the engine data record to be stored into the total engine data.
After the step S202, step S203 is executed to acquire target list data from the target version engine data according to the target engine data version identifier and the multi-valued list data acquisition function information.
In step S202, after the target engine data version identifier is obtained according to the user identifier and the target list category identifier in the data request message, and the target version engine data corresponding to the target engine data version identifier is obtained according to the target engine data version identifier, function information may be obtained according to the target engine data version identifier and the multi-valued list data, and the target list data is obtained from the target version engine data, which will be described in detail below.
In order to acquire the engine data corresponding to the target engine data version identification from the target version engine data, in the application, the multi-value list data acquisition function for acquiring the engine data of the target version from the multi-value engine data item of the engine data is set to acquire the engine data of the corresponding version.
Firstly, obtaining function information through multi-valued list data arranged in a server in the application, and obtaining the multi-valued version position information obtaining function information and the multi-valued list data item obtaining function information; then, obtaining a data record of an engine to be processed from the target version engine data; then, acquiring function information according to the multi-valued version position information, and acquiring position information of list data corresponding to the target engine data version identification in a multi-valued engine data item of the to-be-processed engine data record; and then, acquiring function information and the position information according to the multi-valued list data item, and acquiring the target list data from the multi-valued engine data item recorded in the to-be-processed engine data record.
The to-be-processed engine data record comprises a multi-value engine data item stored with an engine data version identifier; the obtaining, according to the multi-valued version position information obtaining function information, position information of the list data corresponding to the target engine data version identifier in the multi-valued engine data item of the to-be-processed engine data record includes: and acquiring function information according to the multi-valued version position information, and acquiring position information of the list data corresponding to the target engine data version identification in the multi-valued engine data item of the to-be-processed engine data record from the multi-valued engine data item in which the engine data version identification is stored.
Here, still taking the example of obtaining the list data of the web leaderboard with the business category as the store, for the business object in the business category, such as the entity object "xx store", the to-be-processed engine data record { "shop _ id" corresponding to the entity object "xx store" is obtained from the target version engine data: "5", "shop _ name": "xx store", "top _ tags": "onlcel _ a, onlcel _ B, onlcel _ C", "top _ values": "305, 312, 309" }, in order to obtain the list data of the web red list of the a version of the entity object "xx store", identify "onlcel _ a" according to the corresponding target engine data version, obtain a function get _ string _ index corresponding to the function information using the multi-valued version position information, obtain an index position t _ idx of the web red list data of the "onlcel _ a" version in the corresponding multi-valued engine data item by t _ idx ═ get _ string _ index ("top _ tags", "onlcel _ a", and-1), and then obtain the function get _ attr _ int64_ value corresponding to the function information by the multi-valued list data item, and obtain the web red list value of the web red list of the "onlcel _ a" version by score _ attr _ int64_ int ("top _ values", t _ idx, 0). Thus, a record in the list data with the list category identified as "onlcel" is obtained.
It should be noted that, only how to obtain the web leaderboard data of the version a of the entity object "xx store" is illustrated here, in a specific implementation, the target version engine data may include engine data records of a plurality of business objects that belong to the same business category, and by the above method, web leaderboard data of different business objects may be correspondingly obtained, and at the same time, the web leaderboard data of the plurality of business objects is combined together, so that the target leaderboard data corresponding to the target leaderboard category identifier may be obtained.
For example, 1000 ten thousand engine data records may be stored in the overall engine data, and 200 engine data records of the list data of the web red list containing the identifier "onlcel _ a", that is, the target version engine data described in the present application, may be screened out from the 1000 ten thousand engine data records by the target engine data version identifier "onlcel _ a"; then, the target list data with the identifier of 'onlcel _ a' in the 200 pieces of engine data can be obtained through the multi-valued list data obtaining function in the application.
In particular, in implementation, according to different service data that needs to be acquired in a data request, the target service data corresponding to the service data may be acquired through a multi-valued service data acquisition function corresponding to the service data, and the target service data is not necessarily the list data described in the present application.
As can be seen from the above description, according to the data transmission method, by storing the engine data of different versions of the business object, such as the list data, in one multi-valued engine data entry field, the storage resource can be greatly saved, and the performance of the data engine is not reduced due to the continuous increase of the data entry field; when engine data of a specific version needs to be acquired, the multi-valued list data acquisition function information provided by the application can be used for acquiring target engine data of a target version, such as target list data.
After the step S203, step S204 is executed to provide the target engine data version identification and the target list data to the client.
After the target list data corresponding to the target list category identifier is obtained in step S203, the target engine data version identifier and the target list data may be provided to the client.
In addition, after the target list data is obtained, the target list data can be ranked, the ranked target list data is obtained, and the target engine data version identification and the target list data are provided for the client.
Here, the reason why the target engine data version identifier is provided to the client is to enable the client to obtain the version of the engine data corresponding to the target list data. In this way, when an AB experiment is performed on an application program of a client, the application program sets embedded point information at a business processing part corresponding to the target list data, and continuously obtains performance information of the target version engine data corresponding to the target engine data version identifier through the embedded point information, for example, through the embedded point information, other relevant business data information such as exposure click data, transaction data, order data and the like corresponding to the target list data can be obtained, and further, the performance information of the target version engine data can be obtained. And then, selecting a target list data acquisition model for acquiring list data according to the performance information.
The embedded point information is a mark set at a key business process or a key event of the application program when the embedded point data acquisition method is used for analyzing the engine data of the application program, and can be used for acquiring the performance data of the engine data corresponding to the key business process or the key event. Since how to bury the points and how to perform the analysis of the buried points are the prior art, the detailed description thereof is omitted.
In summary, the data sending method according to the present application obtains a data request message sent by a client, where the data request message is used to obtain list data corresponding to a target list category identifier; acquiring a target engine data version identification and target version engine data corresponding to the target engine data version identification, wherein the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target version engine data comprises list data of at least one version corresponding to the target list category identification; acquiring function information according to the target engine data version identification and multi-valued list data, and acquiring target list data from the target engine data; and providing the target engine data version identification and the target list data to the client. The method avoids using a plurality of data engines to store engine data of different versions, and does not need to use a plurality of fields to store the engine data of different versions, so that the application program can quickly and efficiently provide the engine data outwards.
Corresponding to the above-mentioned data transmission method, the present application further provides a method for selecting a list data acquisition model, please refer to fig. 3, which is a flowchart of a method for selecting a list data acquisition model according to a second embodiment of the present application, and since the detailed processing thereof is described in detail in the above-mentioned embodiment, the description herein is relatively simple, and for relevant points, reference may be made to the partial description provided in the above-mentioned embodiment.
As shown in fig. 3, which is a flowchart of a method for selecting a list data obtaining model according to a second embodiment of the present application, the embodiment is described in detail below with reference to fig. 3.
Step S301, a target engine data version identification and target list data provided by a server are obtained, wherein the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target list data is obtained according to multi-valued list data obtaining function information.
Step S302, obtaining performance information of the target version engine data corresponding to the target engine data version identifier according to the target engine data version identifier and the buried point information corresponding to the target list data, where the buried point information is used to obtain service data associated with the target list data.
Step S303, selecting a target list data acquisition model for acquiring list data according to the performance information.
According to the method for selecting the list data acquisition model, the target engine data version identification and the target list data provided by the server are acquired, the performance information of the target version engine data corresponding to the target engine data version identification can be acquired quickly and efficiently through the buried point information corresponding to the target list data, and then the target list data acquisition model for acquiring the list data is selected according to the performance information.
Corresponding to the above-mentioned data transmission method, the present application further provides a data transmission apparatus, please refer to fig. 4, which is a schematic diagram of a data transmission apparatus provided in a third embodiment of the present application, since the apparatus embodiment is substantially similar to the method embodiment, the description is relatively simple, and for relevant points, reference may be made to part of the description provided in the above-mentioned embodiment, and the apparatus embodiment described below is only illustrative. The application provides a data transmission device, which comprises the following parts.
The message obtaining unit 401 is configured to obtain a data request message sent by a client, where the data request message is used to obtain list data corresponding to a target list category identifier.
An engine data obtaining unit 402, configured to obtain a target engine data version identifier, and obtain target version engine data corresponding to the target engine data version identifier, where the target engine data version identifier is used to identify an engine data version corresponding to the list data, and the target version engine data includes at least one version of list data corresponding to the target list category identifier.
The list data obtaining unit 403 obtains the target list data from the target version engine data according to the target engine data version identifier and the multi-valued list data obtaining function information.
A data sending unit 404, configured to provide the target engine data version identifier and the target list data to the client.
Optionally, the engine data obtaining unit includes:
the identification acquisition subunit is used for acquiring a user identification and the target list category identification from the data request message;
and the target engine data version identification obtaining subunit is used for obtaining the target engine data version identification according to the user identification and the target list category identification.
Optionally, the obtaining the target engine data version identifier according to the user identifier and the target list category identifier includes:
according to the user identification, obtaining an engine data version identification corresponding to the user identification from the corresponding relation between the user identification and the engine data version identification;
and acquiring the target engine data version identification according to the target list category identification and the engine data version identification corresponding to the user identification.
Optionally, the engine data obtaining unit further includes:
the target version engine data obtaining subunit is configured to obtain, from total engine data, engine data including a target engine data version identifier, and use the engine data including the target engine data version identifier as the target version engine data, where the total engine data includes at least one version of list data corresponding to at least one list category identifier.
Optionally, the list data of the at least one version corresponding to the target list category identifier is obtained through the following steps:
acquiring a business object corresponding to the target list category identification;
acquiring source data related to the business object;
performing data mining processing on the source data to acquire list data of at least one version of the business object;
and taking the list data of at least one version of the business object as the list data of at least one version corresponding to the target list category identification.
Optionally, the performing data mining on the source data to obtain the list data of at least one version of the business object includes:
and performing data mining processing on the source data by using at least one list data acquisition model corresponding to the target list category identification and the business category identification to acquire list data of at least one version of the business object.
Optionally, the obtaining the listing data of the at least one version of the business object by performing data mining on the source data by using the at least one listing data obtaining model corresponding to the target listing category identifier and the business category identifier includes:
acquiring a first list data acquisition model;
performing data mining processing on the source data by using the first list data acquisition model to acquire first list data of the business object;
acquiring a first to-be-stored engine data record of the business object according to the first list data;
writing the first engine data record to be stored into total engine data, and acquiring first version engine data for the business object, wherein the total engine data comprises at least one version of list data corresponding to at least one list category identifier.
Optionally, the obtaining the first to-be-stored engine data record of the business object according to the first list data includes:
storing the content of at least one data item in the first list data into at least one multi-value engine data item of the business object, wherein the multi-value engine data item is used for storing the content of a plurality of versions of the same data item of the business object;
and acquiring a first engine data record to be stored of the business object according to the at least one multi-value engine data item.
Optionally, the multi-value list data obtaining function information includes multi-value version position information obtaining function information and multi-value list data item obtaining function information;
the acquiring function information according to the target engine data version identification and the multi-valued list data and acquiring the target list data from the target version engine data comprises the following steps:
obtaining the engine data record to be processed from the target version engine data
Acquiring function information according to the multi-valued version position information, and acquiring position information of list data corresponding to the target engine data version identification in a multi-valued engine data item of the to-be-processed engine data record;
and acquiring function information and the position information according to the multi-valued list data item, and acquiring the target list data from the multi-valued engine data item recorded by the to-be-processed engine data.
Optionally, the to-be-processed engine data record includes a multi-valued engine data item storing an engine data version identifier;
the obtaining, according to the multi-valued version position information obtaining function information, position information of the list data corresponding to the target engine data version identifier in the multi-valued engine data item of the to-be-processed engine data record includes:
and acquiring function information according to the multi-valued version position information, and acquiring position information of the list data corresponding to the target engine data version identification in the multi-valued engine data item of the to-be-processed engine data record from the multi-valued engine data item in which the engine data version identification is stored.
Optionally, after the target list data is acquired, the target list data is subjected to ranking processing, and the ranked target list data is acquired;
the providing the target engine data version identification and the target list data to the client comprises:
and providing the target engine data version identification and the sorted target list data to the client.
Corresponding to the method for selecting the list data acquisition model, the present application further provides a device for selecting the list data acquisition model, please refer to fig. 5, which is a schematic diagram of the device for selecting the list data acquisition model provided in the fifth embodiment of the present application. The device for selecting the list data acquisition model comprises the following parts.
The data obtaining unit 501 is configured to obtain a target engine data version identifier and target list data provided by a server, where the target engine data version identifier is used to identify an engine data version corresponding to the list data, and the target list data is obtained according to multi-valued list data obtaining function information;
a performance information obtaining unit 502, configured to obtain performance information of the target version engine data corresponding to the target engine data version identifier according to the target engine data version identifier and embedded point information corresponding to the target list data, where the embedded point information is used to obtain service data associated with the target list data;
a model selecting unit 503, configured to select a target list data obtaining model for obtaining list data according to the performance information.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Claims (10)
1. A data transmission method, comprising:
acquiring a data request message sent by a client, wherein the data request message is used for acquiring list data corresponding to a target list category identifier;
acquiring a target engine data version identification and target version engine data corresponding to the target engine data version identification, wherein the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target version engine data comprises list data of at least one version corresponding to the target list category identification;
acquiring function information according to the target engine data version identification and multi-valued list data, and acquiring target list data from the target engine data;
and providing the target engine data version identification and the target list data to the client.
2. The data transmission method according to claim 1, wherein the obtaining of the target engine data version identifier includes:
acquiring a user identifier and the target list category identifier from the data request message;
and acquiring the target engine data version identification according to the user identification and the target list category identification.
3. The data sending method according to claim 1, wherein the obtaining the target engine data version identifier according to the user identifier and the target list category identifier includes:
according to the user identification, obtaining an engine data version identification corresponding to the user identification from the corresponding relation between the user identification and the engine data version identification;
and acquiring the target engine data version identification according to the target list category identification and the engine data version identification corresponding to the user identification.
4. The data transmission method according to claim 3, wherein the obtaining of the target version engine data corresponding to the target engine data version identifier includes:
obtaining engine data including the target engine data version identification from total engine data, and taking the engine data including the target engine data version identification as the target version engine data, wherein the total engine data includes list data of at least one version corresponding to at least one list category identification.
5. The data sending method according to claim 1, wherein the target list category identifies the list data of at least one version corresponding to the target list category, and the method comprises the following steps:
acquiring a business object corresponding to the target list category identification;
acquiring source data related to the business object;
performing data mining processing on the source data to acquire list data of at least one version of the business object;
and taking the list data of at least one version of the business object as the list data of at least one version corresponding to the target list category identification.
6. The data sending method of claim 5, wherein the obtaining the business object corresponding to the target list category identifier comprises:
acquiring a service category identification corresponding to the target list category identification;
and acquiring a business object corresponding to the target list category identification and the business category identification.
7. The method according to claim 6, wherein the performing data mining on the source data to obtain the list data of at least one version of the business object includes:
and performing data mining processing on the source data by using at least one list data acquisition model corresponding to the target list category identification and the business category identification to acquire list data of at least one version of the business object.
8. A data transmission apparatus, comprising:
the system comprises a message acquisition unit, a data processing unit and a processing unit, wherein the message acquisition unit is used for acquiring a data request message sent by a client, and the data request message is used for acquiring list data corresponding to a target list category identifier;
the engine data acquisition unit is used for acquiring a target engine data version identifier and acquiring target version engine data corresponding to the target engine data version identifier, wherein the target engine data version identifier is used for identifying an engine data version corresponding to the list data, and the target version engine data comprises at least one version of list data corresponding to the target list category identifier;
the list data acquisition unit acquires function information according to the target engine data version identification and the multi-valued list data, and acquires target list data from the target version engine data;
and the data sending unit is used for providing the target engine data version identification and the target list data to the client.
9. A method for selecting a list data acquisition model is characterized by comprising the following steps:
acquiring a target engine data version identification and target list data provided by a server, wherein the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target list data is acquired according to multi-valued list data acquisition function information;
acquiring performance information of target version engine data corresponding to the target engine data version identification according to the target engine data version identification and embedded point information corresponding to the target list data, wherein the embedded point information is used for acquiring business data related to the target list data;
and selecting a target list data acquisition model for acquiring list data according to the performance information.
10. A device for selecting a list data acquisition model, comprising:
the system comprises a data acquisition unit, a database unit and a database unit, wherein the data acquisition unit is used for acquiring a target engine data version identification and target list data provided by a server, the target engine data version identification is used for identifying an engine data version corresponding to the list data, and the target list data is acquired according to multi-valued list data acquisition function information;
the performance information acquisition unit is used for acquiring performance information of target version engine data corresponding to the target engine data version identification according to the target engine data version identification and buried point information corresponding to the target list data, wherein the buried point information is used for acquiring business data related to the target list data;
and the model selection unit is used for selecting a target list data acquisition model for acquiring list data according to the performance information.
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