CN112819511A - Method and device for displaying relation of object execution strategy and electronic equipment - Google Patents
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Abstract
The application provides a method and a device for displaying the relationship of an object execution strategy and electronic equipment, wherein the method comprises the following steps: acquiring a query condition, wherein the query condition comprises at least one minimum query unit; acquiring aggregation data corresponding to all the minimum query units in the query conditions, wherein the aggregation data are generated by aggregating a plurality of object execution strategies which meet the minimum query units and have inheritance relationships; and constructing the aggregated data into visual data according to the query condition, wherein the visual data is used for showing inheritance relationships among the object execution strategies. The influence range of each object execution strategy can be checked and mastered clearly, and then the influence range of the current object execution strategy can be mastered accurately and clearly when one or more object execution strategies are adjusted or checked.
Description
Technical Field
The present application relates to the field of multimedia technologies, and in particular, to a method and an apparatus for displaying a relationship between object execution strategies, and an electronic device.
Background
For a plurality of objects to be executed, before execution, a corresponding execution policy needs to be formulated, which is a set of business rules that guide and decide how to manage, distribute and control business execution, and which describe what processing logic should be taken under certain conditions. For example, in the advertisement delivery process, screening of advertisement delivery strategies is a first step, which determines whether to deliver an advertisement and how many advertisements to deliver under a specific rule condition. Because the advertisement putting scenes are various, the advertisement putting strategies are also very many, and therefore, in the advertisement putting analysis process, it is very important to know the relation among the advertisement putting strategies.
At present, an analysis method for advertisement putting strategies is generally based on a table analysis method, and the prior art can generally obtain the frequency of inquiring or using each advertisement putting strategy, that is, the flow information and the putting proportion of the advertisement putting strategy can be obtained, but when the advertisement strategy is formulated, the analysis data display based on the existing table can only be used for post analysis after the advertisement strategy is put into use, and for a new advertisement putting strategy/a modified advertisement putting strategy provided by an advertisement strategy formulating party, the changes and influences of the strategies on advertisement screening results after the strategies are put into use cannot be known in advance.
At present, the method for confirming the change and the influence can only extract relevant data after the actual service is put into use for a period of time, and finally can debug to form a reasonable advertisement putting strategy through subsequent repeated analysis, test and modification, so that the customization efficiency is reduced.
Therefore, the related art has a technical problem of low efficiency in making the object execution strategy.
Disclosure of Invention
The application provides a method and a device for displaying the relation of an object execution strategy and electronic equipment, which are used for at least solving the technical problem of low efficiency of making the object execution strategy in the related technology.
According to an aspect of an embodiment of the present application, a method for displaying a relationship of an object execution policy is provided, including: acquiring a query condition, wherein the query condition comprises at least one minimum query unit; acquiring aggregation data corresponding to all the minimum query units in the query conditions, wherein the aggregation data are generated by aggregating a plurality of object execution strategies which meet the minimum query units and have inheritance relationships; and constructing the aggregated data into visual data according to the query condition, wherein the visual data is used for showing inheritance relationships among the object execution strategies.
Optionally, aggregating the plurality of object execution policies having inheritance relationships that satisfy the minimum query unit includes: acquiring the priority returned by the result when the object execution strategy is inquired based on the minimum query unit; sequencing the object execution strategies based on the priority to obtain an object strategy execution set, wherein the object execution strategies are in one-to-one correspondence with the minimum query unit; and taking the object strategy execution set corresponding to at least one minimum query unit as the aggregated data.
Optionally, the using the object policy execution set corresponding to the at least one minimum query unit as the aggregated data includes: acquiring a plurality of object execution strategy sets; establishing a sibling relationship for the object execution policies belonging to the same inheritance level in different object policy sets, wherein the inheritance relationship comprises a plurality of inheritance levels; and taking a plurality of object execution policy sets as the aggregated data, wherein object execution policies belonging to the same inheritance level in different object execution policy sets in the aggregated data have sibling relationships.
Optionally, the constructing the aggregated data into visualized data according to the query condition includes: and performing visual drawing on the object execution strategies in the aggregated data one by one along a first direction of a coordinate system according to the inheritance relationship to obtain the visual data.
Optionally, the constructing the aggregated data into visualized data according to the query condition includes: and performing visual rendering aggregation one by one along a second direction of the coordinate system according to the brothers to obtain the visual data, wherein the first direction is different from the second direction.
Optionally, aggregating the plurality of object execution policies having inheritance relationships that satisfy the minimum query unit includes: counting the flow information of the object execution strategy set based on a preset rule; and determining the occurrence frequency of the aggregated data corresponding to each minimum query unit in a preset time length based on the flow information, wherein the frequency is used for displaying the proportion information of the object execution strategy under the query condition.
Optionally, the counting the traffic information of the node data set based on the preset rule includes: aggregating the object execution strategy set according to a preset time granularity; and counting the frequency of the object execution strategy set in the preset time granularity in aggregation to obtain the flow information.
Optionally, the constructing the aggregated data into the visualized data according to the query condition further includes: determining sub-traffic information of each said object execution policy at its inheritance level based on said traffic information; and showing the proportion information of each inheritance level in the visual data of each object execution strategy based on the sub-flow information.
Optionally, the method for displaying the relationship of the object execution policy further includes: executing a policy based on the minimum query unit query object in the query condition; detecting whether the inheritance relationship between the inquired object execution strategies is updated or not; when the inheritance relationship is updated, acquiring the updated inheritance relationship; updating the aggregated data and/or the visualization data based on the updated inheritance relationship.
Optionally, the detecting whether the inheritance relationship between the queried object execution policies is updated includes: detecting whether the object execution strategy corresponding to the minimum query unit has at least one operation of modification, addition or deletion; when at least one of modification, addition or deletion exists, updating the inheritance relationship based on at least one of modification, addition or deletion.
Optionally, the object execution policy comprises an advertisement delivery policy.
According to another aspect of the embodiments of the present application, there is also provided a relationship display apparatus for an object execution policy, including: the system comprises an acquisition module, a query module and a query module, wherein the acquisition module is used for acquiring query conditions which comprise a plurality of minimum query units; the query module is used for acquiring aggregation data corresponding to all the minimum query units in the query condition, and the aggregation data is generated by performing first aggregation on a plurality of object execution strategies which meet the minimum query units and have inheritance relationships; and the construction module is used for performing second polymerization on the polymerization data according to the query condition to construct visual data, and the visual data is used for displaying the inheritance relationship among the object execution strategies.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory communicate with each other through the communication bus; wherein the memory is used for storing the computer program; a processor for performing the method steps in any of the above embodiments by running the computer program stored on the memory.
According to a further aspect of the embodiments of the present application, there is also provided a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to perform the method steps of any of the above embodiments when the computer program is executed.
In the embodiment of the application, when a query condition is obtained, all aggregated data corresponding to all minimum query units in the query condition are obtained based on query of the query condition, wherein the aggregated data is generated by aggregating a plurality of object execution strategies having inheritance relationships obtained by querying the minimum query units, when a query condition including at least one minimum query unit is obtained, the object execution strategies corresponding to all minimum query units included in the query condition can be obtained, aggregated data is obtained according to the inheritance relationships between the object execution strategies and the object execution strategies, the aggregated data obtained by querying is constructed into visual data according to the query condition, and the relationships between the object execution strategies and the object execution strategies can be clearly displayed when actual services are put into use by using the characteristics of the visual data, therefore, the change and the influence of the strategies on the advertisement screening result after the strategies are put into use can be clearly known in advance, the advertisement strategy execution efficiency is improved, and the influence range of the current object execution strategy can be accurately and clearly mastered when one or more object execution strategies are adjusted or checked.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a diagrammatic illustration of a flame according to the prior art;
FIG. 2 is a diagram illustrating a hardware environment of an alternative method for relational presentation of object execution policies, according to an embodiment of the invention;
FIG. 3 is a flowchart illustrating a method for displaying relationships of an optional object execution policy according to an embodiment of the present disclosure;
FIG. 4 is a diagram of a flame graph constructed based on inheritance relationships, according to an embodiment of the present application;
FIG. 5 is a diagram of a flame graph constructed based on inheritance relationships and sibling relationships, according to an embodiment of the present application;
FIG. 6 is a diagram of a flame graph constructed based on inheritance relationships, sibling relationships, and flow information according to an embodiment of the present application;
fig. 7 is a schematic diagram illustrating an advertisement placement policy relationship display flow according to an embodiment of the present application;
FIG. 8 illustrates a flame map generated based on query conditions in an embodiment of the present application;
FIG. 9 is a flame diagram corresponding to a set of advertisement delivery strategies under a query in accordance with an embodiment of the present application;
FIG. 10 is a schematic diagram of an alternative relationship display apparatus for object execution policy according to an embodiment of the present application;
fig. 11 is a block diagram of an alternative electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, partial nouns or terms appearing in the description of the embodiments of the present application are applicable to the following explanations:
and a flame diagram, which is an SVG picture generated based on perf (performance, a performance analysis tool provided for Linux systems natively) results and used for displaying the call stack of the CPU. Wherein, the flame diagram has the following characteristics:
1. a unique call chain can be traced from the bottom to the top, and the lower square block is the parent call of the upper square block;
2. the blocks called by the same father are arranged in sequence from left to right;
3. each square represents a call, and the width of the square on the x-axis is used to represent the number of times that calls directed to the flame diagram appear in the flame diagram;
4. the flame diagram may also show the percentage of each call to the bottom-most call.
As an example of the flame diagram shown in FIG. 1, the following call chain is shown in FIG. 1:
a；b；c 12
a；d 3
b；c 3
z；d 5
a；c；e 3
wherein, the letter string represents a call chain, with each call in between "; "separate, the number following each row indicates the number of times the call stack occurs.
According to one aspect of the embodiment of the application, a relation showing method for an object execution strategy is provided. Optionally, in this embodiment, the relationship display method of the object execution policy may be applied to a hardware environment as shown in fig. 2. As shown in figure 2 of the drawings, in which,
according to one aspect of the embodiment of the application, a relation showing method for an object execution strategy is provided. Alternatively, in this embodiment, the relationship display method of the object execution policy may be applied to a hardware environment formed by the terminal 102 and the server 104 as shown in fig. 2. As shown in fig. 2, the server 104 is connected to the terminal 102 through a network, which may be used to provide services for the terminal or a client installed on the terminal, may be provided with a database on the server or independent from the server, may be used to provide data storage services for the server 104, and may also be used to handle cloud services, and the network includes but is not limited to: the terminal 102 is not limited to a PC, a mobile phone, a tablet computer, etc. the terminal may be a wide area network, a metropolitan area network, or a local area network. The relationship display method of the object execution policy in the embodiment of the present application may be executed by the server 104, or may be executed by the terminal 102, or may be executed by both the server 104 and the terminal 102. The relationship display method for the terminal 102 to execute the object execution policy according to the embodiment of the present application may also be executed by a client installed thereon.
Taking the relationship display method for executing the object execution policy in this embodiment by the terminal 102 and/or the server 104 as an example, fig. 3 is a schematic flow chart of a relationship display method for an optional object execution policy according to this embodiment, as shown in fig. 3, the flow of the method may include the following steps:
step S302, obtaining query conditions, wherein the query conditions comprise at least one minimum query unit.
Step S304, acquiring aggregation data corresponding to all the minimum query units in the query condition, where the aggregation data is generated by aggregating a plurality of object execution policies having an inheritance relationship and satisfying the minimum query units.
Step S306, the aggregated data is constructed into visual data according to the query conditions, and the visual data is used for showing inheritance relationships among the object execution policies.
Through the steps S302 to S306, when the query condition is obtained, all aggregated data corresponding to all minimum query units in the query condition is obtained based on query of the query condition, where the aggregated data is generated by aggregating a plurality of object execution policies having inheritance relationships obtained by querying the minimum query unit, when the query condition including at least one minimum query unit is obtained, the object execution policies corresponding to all minimum query units included in the query condition can be obtained, then aggregated data is obtained by aggregating the inheritance relationships between the object execution policies and the object execution policies, then the aggregated data obtained by query is constructed into visual data according to the query condition, and the relationships between the object execution policies and the object execution policies can be clearly displayed when actual business is put into use by using the characteristics of the visual data, therefore, the change and the influence of the strategies on the advertisement screening result after the strategies are put into use can be clearly known in advance, the advertisement strategy execution efficiency is improved, and the influence range of the current object execution strategy can be accurately and clearly mastered when one or more object execution strategies are adjusted or checked.
In the technical solution of step S302, the query condition may include at least one minimum query unit, where the minimum query unit may be one query dimension or a combination of query dimensions, and the minimum query unit may screen an object execution policy corresponding to the minimum query unit in online object execution policy data, and generally, one minimum query unit may query to obtain a plurality of object execution policies, and finally obtain an object execution policy that best meets the minimum query unit through the ordering of the object execution policies. For example, the object execution policy may be described by taking an advertisement placement policy as an example, and the query dimension may include: and query dimensions of advertisement putting strategies such as webpage/video types, platform types, putting time, putting opportunities, advertiser attributes and the like. In this embodiment, since there are many advertisement delivery policies and there are many repeated query dimensions in the query dimensions of each advertisement delivery policy, there are usually a plurality of advertisement delivery policies that satisfy the minimum query unit. Therefore, based on the obtained query condition, a plurality of object execution strategies corresponding to all the minimum query units under the query condition can be queried.
In the technical solution of step S304, aggregated data is obtained based on the query condition, where the aggregated data may be generated by performing a first aggregation on a plurality of object execution policies having an inheritance relationship and satisfying a minimum query unit. In this embodiment, one minimum query unit corresponds to a plurality of object execution policies, an inheritance relationship exists among the plurality of object execution policies obtained according to the query dimension corresponding to the minimum query unit, when a query result is returned, an inheritance hierarchy of the inheritance relationship is returned, and an object execution policy with the highest inheritance hierarchy is displayed. Because the format of the aggregated data is at least one call chain, and the calls in the call chain have a parent-child call relationship, in this embodiment, a plurality of object execution policies having an inheritance relationship and corresponding to each minimum query unit are aggregated according to a query result return sequence to generate one aggregated data, and the aggregated data corresponding to all the minimum query units included in the query condition can be obtained through the query condition.
In the technical solution of step S306, performing second aggregation on the aggregated data according to the query condition to construct visualized data, and after obtaining all aggregated data corresponding to the query condition, performing second visualized aggregation on all object execution policies under the query condition to obtain visualized data, where the visualized data can show inheritance relationships among all object execution policies under the query condition, and further can obtain display information for displaying relationships among the object execution policies.
As an exemplary embodiment, the first aggregating the plurality of object execution policies having inheritance relationships and satisfying the minimum query unit may be sorting according to a query return order of the minimum query unit, and exemplarily, obtaining a priority of result return when the object execution policies are queried based on the minimum query unit; sequencing the object execution strategies based on the priority to obtain an object strategy execution set, wherein the object execution strategy set corresponds to the minimum query unit one by one; and taking the object execution policy set as the aggregation data. As an exemplary embodiment, after the plurality of object execution policies are obtained through screening, the object execution policies may be converted into node data corresponding to the aggregated data, and for example, identification information of the object execution policies, for example, IDs of the object execution policies, may be obtained, and the identification information of the object execution policies is sorted through an inheritance relationship, so as to obtain an object execution policy set having a sorting rule. Taking the advertisement delivery policy as an example, after the advertisement delivery policy ID is obtained, since the advertisement delivery policy ID is generally long and flat, for example, the advertisement delivery policy ID is 1000000022751, in consideration of the data length, in order to reduce the storage cost, a simplification process may be performed on the advertisement delivery policy ID, for example, only 22751 is recorded when recording. When screening is performed based on the minimum query unit, there are many advertisement delivery policies that satisfy the screening condition of the minimum query unit, but only one advertisement delivery policy can be returned finally, and all the screened advertisement policies satisfy the inheritance relationship (which may also be the priority relationship returned by the screening result), for example, three policies of a, B, and C are screened out through the minimum query unit, the inheritance relationship is from the parent node to the child nodes a, B, and C (where a is the parent policy of B, and B is the parent policy of C), and the policy C is displayed finally. Processing the screened advertisement putting strategies according to priority and converting the advertisement putting strategies into character strings, for example, sequencing the inquired advertisement putting strategy IDs from a father node to a child node according to an inheritance relationship to obtain A; b; and C, finally, taking the advertisement putting strategy set as aggregated data.
Generally, the query condition may include a plurality of minimum query units, each minimum query unit corresponds to one object execution policy set, the aggregated data obtained based on the query condition may include a plurality of object execution policy sets, and in order to more fully show the relationship between the object execution policies, the object execution policies in different object execution policy sets may be associated, and further show the mesh-like relationship between the object execution policies obtained based on the query condition query, so that, when the aggregated data is constructed, the object execution policies in different object execution policy sets may be associated, specifically, a plurality of object execution policy sets may be obtained, where an object execution policy set establishes a sibling relationship for object execution policies belonging to the same inheritance level in different object policy sets; and taking a plurality of object execution strategy sets as the aggregation data. Therefore, a sibling relationship exists between object execution policies belonging to the same inheritance hierarchy from different object execution policy sets in the aggregated data.
As an exemplary embodiment, the aggregated data is subjected to second aggregation according to the query condition to construct visualized data, and the object execution strategies in the aggregated data are subjected to one-by-one visualized rendering along a first direction of a coordinate system according to the inheritance relationship to obtain the visualized data, and/or the brothers are subjected to one-by-one visualized rendering and aggregation along a second direction of the coordinate system to obtain the visualized data, wherein the first direction is different from the second direction. As an exemplary embodiment, the visualization data may be illustrated by taking a flame diagram as an example, and specifically, an inheritance relationship between all object execution policies is obtained; and obtaining a y-axis arrangement order of each object execution strategy under the flame diagram coordinate system based on the inheritance relationship, and drawing the object execution strategies with the inheritance relationship layer by layer along the y-axis based on the y-axis arrangement order. Of course, it should be understood by those skilled in the art that the first direction is different from the second direction, and may be different coordinate axes in a coordinate system, and any coordinate axis may be selected as the first direction or the second direction. In this embodiment, the first direction is taken as the y-axis, and the second direction is taken as the x-axis. Illustratively, the object execution policy for each inheritance node is one level. Illustratively, taking the advertisement placement strategy as an example, the aggregated data includes a set of advertisement placement strategies: a; b; c, acquiring an inheritance relationship in the advertisement putting strategy set, namely A; b; and C, determining an arrangement order of the advertisement delivery strategy IDs in the y axis based on the inheritance relationship, and drawing a flame diagram sequentially layer by layer along the y axis based on the arrangement order, where an exemplary drawn flame diagram is shown in fig. 4. The relationship among the advertisement putting strategies is clearly shown in the flame diagram, and from the bottommost layer to the highest layer, the advertisement putting strategy of the next layer is a father node of the advertisement putting strategy of the upper layer.
Specifically, when a flame diagram is constructed based on aggregated data, the flame diagram can be constructed based on the aggregated data information, and all object execution strategies in the data of the flame diagram can be traversed to obtain the inheritance relationship and the brother relationship among all object execution strategies; and obtaining the arrangement order of the object execution strategies in the first direction under the coordinate system of each object execution strategy based on the inheritance relationship, such as the arrangement order in the y-axis direction, obtaining the arrangement order of the object execution strategies in the second direction under the coordinate system of each object execution strategy based on the sibling relationship, such as the arrangement order in the x-axis direction, drawing the object execution strategies with the inheritance relationship layer by layer along the y-axis based on the y-axis arrangement order, and drawing the object execution strategies with the sibling relationship one by one along the x-axis based on the x-axis arrangement order. For example, taking advertisement delivery policy as an example, the aggregated data may be a set of three sets of advertisement delivery policies, where the first set of advertisement delivery policies is a; b; c, the second group of advertisement putting strategy set is C; e; f, the third group of advertisement putting strategy set is A; d; in this embodiment, a, B, C, D, E, and F are used to represent different advertisement delivery policies and obtain an inheritance relationship, i.e., a, in a first set of advertisement delivery policy sets; b; c is an inheritance relationship from a father node to a child node in sequence, and the inheritance relationship in the second group of advertisement putting strategy set is obtained, namely C; e; f is an inheritance relationship from a father node to a child node in sequence, and an inheritance relationship in a third group of advertisement putting strategy set is obtained, namely A; d; f is the inheritance relationship from the parent node to the child node in sequence. A in the first group, C in the second group and A in the third group are in a sibling relationship, B in the first group, E in the second group and D in the third group are in a sibling relationship, C in the first group, F in the second group and F in the third group are in a sibling relationship, the arrangement sequence of the advertisement putting strategies in the y axis is determined based on the inheritance relationship, the flame diagram can be drawn sequentially along the y axis layer by layer based on the arrangement sequence, the arrangement sequence of the advertisement putting strategies in the x axis is determined based on the sibling relationship, and the flame diagram is drawn sequentially along the y axis based on the arrangement sequence. Illustratively, the flame pattern is plotted as shown in FIG. 5. The relationship of each advertisement putting strategy under the same screening condition is displayed more clearly in the flame diagram, wherein the advertisement putting strategy F appears in different scenes, and the advertisement putting strategy A is a father node of the advertisement putting strategy B and the advertisement putting strategy D.
In order to conveniently count and display the traffic information and the execution proportion of the object execution strategy, when the aggregated data is constructed, the traffic information of the object execution strategy can be counted to display the execution proportion of the object execution strategy in the visual data, and as an exemplary embodiment, a plurality of object execution strategies are obtained based on the minimum query unit query; sequencing the object execution strategies according to the inheritance relationship to obtain an object execution strategy set; after an object execution policy set with an inheritance relationship is obtained, counting flow information of the object execution policy set based on a preset rule; and determining the occurrence frequency of the aggregated data corresponding to each minimum query unit in a preset duration based on the flow information, wherein the frequency is used for showing the proportion information of the object execution strategy under the query condition. As an alternative embodiment, the object execution policy set may be aggregated according to a preset time granularity; and taking the frequency of the object execution strategy set in aggregation in the preset time granularity as the flow information. The preset duration may be one preset time granularity or multiple time granularities, and may be specifically set according to actual conditions, which is not limited in the embodiment of the present application. Illustratively, the object execution policy set may be aggregated according to the data analysis processing function of hive, so as to obtain traffic information of the object execution policy set. And aggregating the object execution strategy sets according to the preset time granularity based on hive to obtain the frequency of executing the strategy sets by each object in the preset time granularity, wherein the frequency is used as the flow information of the object execution strategy. For a specific aggregation method, reference may be made to a method for aggregating data by using hive in the prior art, which is not described in this embodiment, and exemplarily, aggregation may be performed according to a time granularity of 5 minutes, so as to obtain, as traffic information of an object execution policy, a frequency of executing a policy set corresponding to an object in a corresponding minimum query unit within 5 minutes. As an exemplary embodiment, the visualization data may be exemplified as a flame map, and therefore, the aggregated data has traffic information (frequency) of the object execution policy set, and when constructing the flame map based on the aggregated data, the sub-traffic information of each object execution policy at the corresponding inheritance level is determined based on the traffic information; and displaying the proportion data of various inheritance levels in the flame diagram of each object execution strategy based on the sub-flow information. Traffic information for the set of object execution policies may be added, and width information for each object execution policy in the x-axis may be populated based on the traffic information. The proportion of the object execution strategies under the whole query condition, the proportion of each child object execution strategy in the parent object execution strategy and the proportion of each child object execution strategy in the sibling object execution strategies can be clearly shown as a flame diagram shown in fig. 6, and aggregated data can be a three-group advertisement delivery strategy set, wherein the first group of advertisement delivery strategy set is A; b; c, 12 times, wherein the second group of advertisement putting strategy set is C; e; f, setting a third group advertisement putting strategy set for 3 times as A; d; and F, taking 3 times as an example, wherein 12 times and 3 times are the flow information of each group of advertisement putting strategy set in the aggregated data, the width of each filling block of the flame diagram on the x axis is taken as the flow information, and the proportion of the strategy execution object can be displayed based on the flow information.
As an exemplary embodiment, after obtaining the aggregated data, when at least one existing object execution policy is modified, or an object execution policy is added or deleted, an inheritance relationship in the aggregated data may change, and the visualization data in this embodiment may clearly show the change, specifically, the object execution policy is queried based on the minimum query unit in the query condition; detecting whether the inheritance relationship between the inquired object execution strategies is updated or not; when the inheritance relationship is updated, acquiring the updated inheritance relationship; updating the aggregated data and/or the visualization data based on the updated inheritance relationship. Specifically, it may be detected whether the object execution policy corresponding to the minimum query unit has at least one of modification, addition, or deletion; when at least one of modification, addition or deletion exists, updating the inheritance relationship based on at least one of modification, addition or deletion. Illustratively, after the inheritance relationship before the object execution policies in the aggregated data are updated, since the sibling relationship between the object execution policies is determined based on the inheritance hierarchy where each object execution policy is located, the sibling relationship between the object execution policies is also adaptively updated, so that the aggregated data can be updated based on the updated inheritance relationship and sibling relationship, and under the current query condition, or when a new query condition is obtained and a minimum query unit corresponding to the updated aggregated data exists in the query condition, the visual inheritance relationship and sibling relationship between each object execution policy in the visual data can be adjusted according to the query condition, so that the influence scope of all object execution policies under the query condition can be clearly shown when one or some object execution policies change, and each strategy influence range in the strategy screening process can be simulated based on the method.
The construction of aggregated data and flame mapping is described below, using an advertising strategy as an example, as shown in figure 7,
the advertisement putting strategies are collected in the putting engine, specifically, because the online advertisement putting strategies in the putting engine are numerous and the flow is large, the putting information of the advertisement putting strategies can be screened in a random sampling mode, and exemplarily, sampling can be performed by adopting a proportion of two thousandths to obtain original advertisement putting strategy data. The above sampling ratios are for illustrative purposes only, and more or less sampling ratios are equally applicable to this embodiment. After the original advertisement putting strategy data is obtained, kafka can be written in a google protobuff format, and Cuepoint AnalyseList is a writing message entity and is divided into two parts, namely RequestBasicinfo and Cuepoint AnalyseInfo. The RequestBasicinfo collects user information and flow information to form a query dimension, Cuepoint AnalyseInfo collects advertisement strategy delivery information, and the information is distinguished according to an advertisement type, cuepoint _ type and an advertisement position ad _ zone _ id.
Obtaining a minimum query unit, where the minimum query unit may include at least one query or at least one query dimension combination, and screening the advertisement delivery policy set obtained by screening in the advertisement delivery policies obtained by the minimum query unit based on the minimum query unit to obtain an advertisement delivery policy set corresponding to the minimum query unit, where, for example, the advertisement delivery policy ID inheritance relationships obtained by the query are 1000000017772, 1000000015944, 1000000015945, and 1000000008767, and considering data length, in order to reduce storage cost, we omit a prefix, and then obtain the advertisement delivery policy set as a string: 08767, respectively; 15945, respectively; 15944; 17772.
after the character string is obtained, the advertisement putting strategy set can be aggregated based on the hive data analysis processing function, and the flow information of the advertisement putting strategy set is obtained. Specifically, the set of advertisement delivery policies may be written into kafka, and for advertisement delivery policy consumption, the advertisement delivery policies in kafka are dropped into hive, which may specifically refer to the description in the prior art about dropping data from kafka to hive, and is not described in detail in this embodiment. Aggregation can be performed on the advertisement delivery strategy sets according to the preset time granularity on the basis of hive, and the frequency of each advertisement delivery strategy set in the preset time granularity is obtained and used as the flow information of the advertisement delivery strategies. For a specific aggregation method, reference may be made to a method for aggregating data by using hive in the prior art, which is not described in this embodiment, and exemplarily, aggregation may be performed according to a time granularity of 5 minutes, so as to obtain, as traffic information of an advertisement delivery policy set, a frequency of a corresponding advertisement delivery policy in a corresponding minimum query unit within 5 minutes. And writing the advertisement putting strategy set in the correlation result and the traffic information of the advertisement putting strategy into clickhouse. And taking the advertisement putting strategy set, the inheritance relationship and/or the brother relationship among the advertisement putting strategies and the flow information of the advertisement putting strategies as aggregated data.
When a user inputs query conditions, webpage/video types, platform types, delivery time, delivery opportunities, advertiser attributes and other query dimensions, the frequency of character strings corresponding to all advertisement delivery strategy sets under the query conditions is obtained in clickhouse through a query interface, a flame diagram program is called, the character strings are restored to original strategy IDs, the original strategy IDs are sequentially filled into flame diagram blocks according to inheritance relationships and/or brother relationships among the advertisement delivery strategies and flow information of the advertisement delivery strategies to generate flame diagrams, and the flame diagrams are displayed to the user on a browser. Fig. 8 is a flame diagram generated under a certain query condition, and fig. 9 is a diagram exemplarily showing that traffic information and proportion information of each advertisement delivery strategy can be obtained by developing a certain set of advertisement delivery strategies, and exemplarily, the uppermost strategy ID is 1000000017772 with a proportion of 2.41%. And the lowest level policy can be found to be 1000000008767 with the lowest priority, from high to low in priority. The user clicks on each square on the flame map and a split scale is displayed. The advertisement operation can quickly position and modify the influence range of the strategy according to the function and search the up-down related strategy.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, an optical disk) and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the methods according to the embodiments of the present application.
According to another aspect of the embodiment of the present application, there is also provided a relationship display apparatus for an object execution policy, which is used for implementing the relationship display method for an object execution policy. Fig. 10 is a schematic diagram of a relationship display apparatus for an optional object execution policy according to an embodiment of the present application, and as shown in fig. 10, the apparatus may include:
(1) an obtaining module 802, configured to obtain a query condition, where the query condition includes a plurality of minimum query units;
(2) the query module 804 is connected to the obtaining module 802, and is configured to obtain aggregated data corresponding to all the minimum query units in the query condition, where the aggregated data is generated by performing first aggregation on a plurality of object execution policies that satisfy the minimum query units and have an inheritance relationship;
(3) and the building module 806, connected to the querying module 804, is configured to perform second aggregation on the aggregated data according to the query condition to build visual data, where the visual data is used to show an inheritance relationship between the plurality of object execution policies.
It should be noted that the obtaining module 802 in this embodiment may be configured to execute the step S302, the querying module 804 in this embodiment may be configured to execute the step S304, and the constructing module 806 in this embodiment may be configured to execute the step S306.
As an optional embodiment, the relationship showing apparatus for the object execution policy further includes:
a first obtaining unit, configured to obtain a priority of result return when the object execution policy is queried based on the minimum query unit;
the first sequencing unit is used for sequencing the object execution strategies based on the priority to obtain an object strategy execution set, wherein the object execution strategies are in one-to-one correspondence with the minimum query unit;
a first determining unit, configured to use at least one of the object policy execution sets as the aggregated data.
As an optional embodiment, the relationship showing apparatus for the object execution policy further includes:
a second obtaining unit, configured to obtain a plurality of object execution policy sets;
the relationship mining unit is used for establishing a sibling relationship for the object execution policies belonging to the same inheritance level in different object policy sets, and the inheritance relationship comprises a plurality of inheritance levels;
and the second determining unit is used for taking the plurality of object execution policy sets as the aggregated data, wherein object execution policies belonging to the same inheritance level in different object execution policy sets in the aggregated data have sibling relationships.
As an alternative embodiment, the building module further comprises:
and the construction unit is used for performing visual rendering on the object execution strategies in the aggregated data one by one along a first direction of a coordinate system according to the inheritance relationship to obtain the visual data, and/or performing visual rendering aggregation on the siblings one by one along a second direction of the coordinate system to obtain the visual data, wherein the first direction is different from the second direction.
As an optional embodiment, the relationship showing apparatus for the object execution policy further includes:
a third obtaining unit, configured to obtain a priority of result return when the object execution policy is queried based on the minimum query unit;
the second sequencing unit is used for sequencing the object execution strategies based on the priority to obtain an object strategy execution set;
the statistical unit is used for counting the flow information of the object execution strategy set based on a preset rule;
a third determining unit, configured to use the set of object execution policies with the traffic information as the aggregated data.
As an alternative embodiment, the statistical unit comprises:
the aggregation subunit is configured to aggregate the object execution policy set according to a preset time granularity;
and the counting subunit is configured to count the frequency of occurrence of the object execution policy set in aggregation within the preset time granularity to obtain the traffic information.
As an alternative embodiment, the building module further comprises:
a second constructing unit, configured to determine sub-traffic information of each object execution policy at an inheritance level to which the object execution policy belongs, based on the traffic information. And determining proportion data of various inheritance levels in the visual data of each object execution strategy based on the sub-flow information.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as a part of the apparatus may be operated in a hardware environment as shown in fig. 1, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.
According to another aspect of the embodiments of the present application, there is also provided an electronic device for implementing the relationship showing method for object execution policy, where the electronic device may be a server, a terminal, or a combination thereof.
Fig. 11 is a block diagram of an alternative electronic device according to an embodiment of the present application, as shown in fig. 11, including a processor 902, a communication interface 904, a memory 906, and a communication bus 908, where the processor 902, the communication interface 904, and the memory 906 communicate with each other via the communication bus 908, where,
a memory 906 for storing a computer program;
the processor 902, when executing the computer program stored in the memory 906, implements the following steps:
s1, obtaining a query condition, wherein the query condition comprises at least one minimum query unit;
s2, acquiring aggregation data corresponding to all the minimum query units in the query conditions, wherein the aggregation data are generated by performing first aggregation on a plurality of object execution strategies which meet the minimum query units and have inheritance relationships;
s3, conducting second aggregation on the aggregated data according to the query conditions to construct visual data, wherein the visual data is used for showing inheritance relationships among the object execution strategies.
Alternatively, in this embodiment, the communication bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 11, but this is not intended to represent only one bus or type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The memory may include RAM, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
As an example, as shown in fig. 11, the memory 902 may include, but is not limited to, an obtaining module 802, a querying module 804, and a constructing module 806 in the relationship showing apparatus that includes the object execution policy. In addition, the method may further include, but is not limited to, other module units in the relationship display apparatus for the object execution policy, which is not described in this example again.
The processor may be a general-purpose processor, and may include but is not limited to: a CPU (Central Processing Unit), an NP (Network Processor), and the like; but also a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
In addition, the electronic device further includes: a display to display a relationship between the flame map constructed based on the aggregated data and the object execution strategy.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It can be understood by those skilled in the art that the structure shown in fig. 11 is only an illustration, and the device implementing the relationship display method of the object execution policy may be a terminal device, and the terminal device may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 11 is a diagram illustrating a structure of the electronic device. For example, the terminal device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 11, or have a different configuration than shown in FIG. 11.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
According to still another aspect of an embodiment of the present application, there is also provided a storage medium. Optionally, in this embodiment, the storage medium may be configured to execute a program code of a relationship showing method of an object execution policy.
Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:
s1, obtaining a query condition, wherein the query condition comprises at least one minimum query unit;
s2, acquiring aggregation data corresponding to all the minimum query units in the query conditions, wherein the aggregation data are generated by performing first aggregation on a plurality of object execution strategies which meet the minimum query units and have inheritance relationships;
s3, conducting second aggregation on the aggregated data according to the query conditions to construct visual data, wherein the visual data is used for showing inheritance relationships among the object execution strategies.
Optionally, the specific example in this embodiment may refer to the example described in the above embodiment, which is not described again in this embodiment.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a U disk, a ROM, a RAM, a removable hard disk, a magnetic disk, or an optical disk.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, and may also 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 provided in the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (14)
1. A relation showing method of an object execution strategy is characterized by comprising the following steps:
acquiring a query condition, wherein the query condition comprises at least one minimum query unit;
acquiring aggregation data corresponding to all the minimum query units in the query conditions, wherein the aggregation data are generated by aggregating a plurality of object execution strategies which meet the minimum query units and have inheritance relationships;
and constructing the aggregated data into visual data according to the query condition, wherein the visual data is used for showing inheritance relationships among the object execution strategies.
2. The relationship exposure method of object execution policy according to claim 1, wherein aggregating a plurality of object execution policies having inheritance relationships that satisfy the minimum query unit comprises:
acquiring the priority returned by the result when the object execution strategy is inquired based on the minimum query unit;
sequencing the object execution strategies based on the priority to obtain an object strategy execution set, wherein the object execution strategy set corresponds to the minimum query unit one by one;
and taking at least one object strategy execution set as the aggregation data.
3. The method of relationship exposure of object execution policies according to claim 2, wherein said taking at least one of said object policy execution sets as said aggregated data comprises:
acquiring a plurality of object execution strategy sets;
establishing a sibling relationship for the object execution policies belonging to the same inheritance level in different object policy sets, wherein the inheritance relationship comprises a plurality of inheritance levels;
and taking a plurality of object execution policy sets as the aggregated data, wherein object execution policies belonging to the same inheritance level in different object execution policy sets in the aggregated data have sibling relationships.
4. The method for relationship representation of object execution policies according to any one of claims 1-3, wherein the constructing the aggregated data as visualized data according to the query conditions comprises:
and performing visual drawing on the object execution strategies in the aggregated data one by one along a first direction of a coordinate system according to the inheritance relationship to obtain the visual data.
5. The method for relational presentation of object execution policies according to claim 4, wherein the constructing the aggregated data into visualized data according to the query conditions further comprises:
and performing visual rendering aggregation one by one along a second direction of the coordinate system according to the sibling relationship to obtain the visual data, wherein the first direction is different from the second direction.
6. The method of relationship representation of object execution policies according to claim 2, wherein said aggregating a plurality of object execution policies having inheritance relationships that satisfy the minimal query unit further comprises:
counting the flow information of the object execution strategy set based on a preset rule;
and determining the occurrence frequency of the aggregated data corresponding to each minimum query unit in a preset time length based on the flow information, wherein the frequency is used for displaying the proportion information of the object execution strategy under the query condition.
7. The method for relationship exhibition of the object execution policy according to claim 6, wherein the counting the traffic information of the node data set based on the preset rule comprises:
aggregating the object execution strategy set according to a preset time granularity;
and counting the frequency of the object execution strategy set in the preset time granularity in aggregation to obtain the flow information.
8. The method for relational presentation of object execution policies according to claim 7, wherein the constructing the aggregated data into visualized data according to the query conditions further comprises:
determining sub-traffic information of each said object execution policy at its inheritance level based on said traffic information;
and showing the proportion information of each object execution strategy in various inheritance levels in the visual data based on the sub-flow information.
9. The method for relationship exhibition of an object execution policy according to claim 1, further comprising:
executing a policy based on the minimum query unit query object in the query condition;
detecting whether the inheritance relationship between the inquired object execution strategies is updated or not;
when the inheritance relationship is updated, acquiring the updated inheritance relationship;
updating the aggregated data and/or the visualization data based on the updated inheritance relationship.
10. The method for relationship representation of object execution policies according to claim 9, wherein the detecting whether the inheritance relationship between the queried object execution policies is updated comprises:
detecting whether the object execution strategy corresponding to the minimum query unit has at least one operation of modification, addition or deletion;
when at least one of modification, addition or deletion exists, updating the inheritance relationship based on at least one of modification, addition or deletion.
11. The object execution policy relationship exhibition method of claim 1, wherein the object execution policy includes an advertisement putting policy.
12. A relationship exhibition apparatus for an object execution policy, comprising:
the system comprises an acquisition module, a query module and a query module, wherein the acquisition module is used for acquiring query conditions which comprise a plurality of minimum query units;
the query module is used for acquiring aggregation data corresponding to all the minimum query units in the query condition, and the aggregation data is generated by performing first aggregation on a plurality of object execution strategies which meet the minimum query units and have inheritance relationships;
and the construction module is used for performing second polymerization on the polymerization data according to the query condition to construct visual data, and the visual data is used for displaying the inheritance relationship among the object execution strategies.
13. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein said processor, said communication interface and said memory communicate with each other via said communication bus,
the memory for storing a computer program;
the processor is configured to execute the steps of the relationship exposure method of the object execution policy of any one of claims 1 to 11 by running the computer program stored on the memory.
14. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the method steps of the relationship representation of the object execution policy according to any one of claims 1 to 11 when running.
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