CN108665221B - Performance data processing method and device, computer equipment and readable medium - Google Patents
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Abstract
The invention provides a performance data processing method and device, computer equipment and a readable medium. The method comprises the following steps: receiving a performance data summarizing request carrying a target organization identifier and a specified time period; acquiring target organizations with different transfer identifications of at least two target organizations from a data organization structure corresponding to an operation system according to the target organization identifications; acquiring the identifications of all users and the transfer identifications of all users included in the target organization from the target organization corresponding to the transfer identifications of all the target organizations; and summarizing the performance data of the target organization in the specified time period according to the identifications of all users, the transfer identifications of all users and the specified time period which are included by the target organization. By adopting the technical scheme of the invention, the defects of the prior art can be overcome, and the accurate summarization of the performance data can be realized; moreover, the technical scheme of the invention can summarize the performance data of any specified time period, and is very flexible to use.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of computers, in particular to a performance data processing method and device, computer equipment and a readable medium.
[ background of the invention ]
The operation system in the prior art is a system widely used in the field of sales and the like. Obvious superior and inferior relations exist in the operation system, and in the same-level relation, a group of users in the same group can be combined into an organization, and each organization can also comprise a sub-organization or a plurality of users; the sub-organization may also include multiple users below, and so on. In order to facilitate the management of the performance data of each organization entity or user entity in the operation system with the stacked parent-child relationship, the operation system can be mapped in a data organization structure similar to a tree structure, and the data organization structure can truly simulate the relationship among organizations, users and organizations in the operation system.
For example, it is often necessary to operate systems that aggregate performance data for an organization or user over a historical period of time, such as number of visited stores, number of new stores, store runs, and so forth, by aggregating performance data for sales attributed to the organization over a specified period of time. The constant change in the organizational structure of the operating system presents certain difficulties to this task. For example, within a specified time period, a subordinate organization may be adjusted to another organization, and an organization may be adjusted to the organization, as well as users in the organization. In order to accurately represent the structural relationship in the operation system, no matter the organization entity or the user entity is transferred, the entity in the data organization structure corresponding to the operation system can be deleted from the position under the original parent node in time and added to the position under the new parent node, so that the entity can be transferred from the position under the original parent node to the position under the new parent node. In the data organization structure, the primary key for each organizational entity is the id field; the primary key of the user entity is also the id field. In order to facilitate the summarization, in the prior art, a snapshot of a data organization structure corresponding to the operation system is stored every day, performance data of an entity in a historical time period is summarized every day according to the id of the entity to be summarized, and the data organization structure of the entity in the current day is summarized every day.
However, in the existing method for summarizing the performance data of an entity according to the snapshot of the data organizational structure stored every day, the organizational structure change in one day is ignored, and if the statistical time period falls in the middle of one day, the summarizing result is very inaccurate.
[ summary of the invention ]
The invention provides a performance data processing method and device, computer equipment and a readable medium, which are used for improving the accuracy of performance data summarization.
The invention provides a performance data processing method, which comprises the following steps:
receiving a performance data summarizing request carrying a target organization identifier and a specified time period;
acquiring target organizations with different transfer identifications of at least two target organizations from a data organization structure corresponding to an operation system according to the target organization identifications;
acquiring the identifications of all users and the transfer identifications of all the users included in the target organization from the target organization corresponding to the transfer identifications of all the target organizations;
and summarizing the performance data of the target organization in the specified time period according to the identifications of all the users, the transfer identifications of all the users and the specified time period which are included by the target organization.
Further optionally, in the method as described above, the aggregating performance data of the target organization in the specified time period according to the identifications of all the users, the transfer identifications of all the users, and the specified time period, which are included in the target organization specifically includes:
acquiring all performance data of the target organization in the specified time period from a performance data database according to the identifications of all the users, the transfer identifications of all the users and the specified time period, which are included by the target organization;
summing all performance data for the target organization over the specified time period.
Further optionally, in the method as described above, acquiring, from a performance data database, all performance data of the target organization in the specified time period according to the identifications of all the users, the transfer identifications of each of the users, and the specified time period, specifically includes:
acquiring all performance data of all the users in the target organization from the performance data database according to the identifications of all the users in the target organization and the transfer identifications of all the users;
and acquiring all the performance data of all the users in the target organization in the specified time period from all the performance data of all the users in the target organization, wherein all the performance data of all the users in the target organization is included in the target organization, and the performance data is used as all the performance data of the target organization in the specified time period.
Further optionally, in the method as described above, before obtaining, according to the target tissue identifier, target tissues with different transfer identifiers of at least two target tissues from a data organization structure corresponding to an operating system, the method further includes:
when the target organization in the operation system is transferred, adding the target organization under a new father node transferred by the target organization on the basis of not deleting the target organization before the transfer in the corresponding data organization structure;
configuring transfer identifications for the added target organizations according to the latest transfer identifications of the target organizations recorded in the data organization structure;
further, after configuring the added transfer identifier for the target organization according to the latest transfer identifier of the target organization recorded in the data organization structure, the method further includes:
and updating the latest transfer identifier of the target organization recorded in the data organization structure according to the transfer identifier configured for the added target organization.
Further optionally, in the method as described above, before obtaining, according to the target tissue identifier, target tissues with different transfer identifiers of at least two target tissues from a data organization structure corresponding to an operating system, the method further includes:
when the user in the target organization in the operating system sends a transfer, adding the user in other organizations into which the user is transferred on the basis of not deleting the user in the target organization in the corresponding data organization structure;
configuring transfer identifications for the users added in other organizations according to the latest transfer identifications of the users recorded in the data organization structure;
further, after configuring a transfer identifier for the user added in the other organization according to the latest transfer identifier of the user recorded in the data organization structure, the method further includes:
and updating the latest transfer identifier of the user recorded in the data organization structure according to the transfer identifier configured for the user added in the other organizations.
Further optionally, in the method described above, the method further includes:
receiving a performance data summarizing request carrying a target user identifier and a specified time period;
acquiring all performance data corresponding to the target user identification from the performance data database according to the target user identification;
acquiring all performance data of a target user corresponding to the target user identifier in the specified time period from all performance data corresponding to the target user identifier;
and summing all performance data of the target user corresponding to the target user identification in the specified time period.
The present invention also provides a performance data processing apparatus, the apparatus comprising:
the receiving module is used for receiving a performance data summarizing request carrying a target organization identifier and a specified time period;
the acquisition module is used for acquiring target tissues with different transfer identifiers of at least two target tissues from a data organization structure corresponding to the operation system according to the target tissue identifiers;
the obtaining module is further configured to obtain, from a target tissue corresponding to the transfer identifier of each target tissue, identifiers of all users included in the target tissue and the transfer identifiers of each user;
and the summarizing module is used for summarizing the performance data of the target organization in the specified time period according to the identifications of all the users, the transfer identifications of all the users and the specified time period which are included by the target organization.
Further optionally, in the apparatus described above, the summarizing module is specifically configured to:
acquiring all performance data of the target organization in the specified time period from a performance data database according to the identifications of all the users, the transfer identifications of all the users and the specified time period, which are included by the target organization;
summing all performance data for the target organization over the specified time period.
Further optionally, in the apparatus described above, the summarizing module is specifically configured to:
acquiring all performance data of all the users in the target organization from the performance data database according to the identifications of all the users in the target organization and the transfer identifications of all the users;
and acquiring all the performance data of all the users in the target organization in the specified time period from all the performance data of all the users in the target organization, wherein all the performance data of all the users in the target organization is included in the target organization, and the performance data is used as all the performance data of the target organization in the specified time period.
Further optionally, in the apparatus described above, the apparatus further includes:
an adding module, configured to add the target organization under a new parent node to which the target organization is transferred, on the basis of not deleting the target organization before transfer in the corresponding data organization structure when the target organization in the operating system is transferred;
the configuration module is used for configuring transfer identifications for the added target organizations according to the latest transfer identifications of the target organizations recorded in the data organization structure;
further, the apparatus further comprises:
and the updating module is used for updating the latest transfer identifier of the target organization recorded in the data organization structure according to the transfer identifier configured for the added target organization.
Further optionally, in the apparatus as described above, the adding module is further configured to, when the user in the target organization in the operating system sends a transfer, add the user in another organization to which the user is transferred on the basis of not deleting the user in the target organization in the corresponding data organization structure;
the configuration module is further configured to configure a transfer identifier for the user added to the other organization according to the latest transfer identifier of the user recorded in the data organization structure;
further, the updating module is further configured to update the latest transfer identifier of the user recorded in the data organization structure according to the transfer identifier configured for the user added to the other organization.
Further optionally, in the apparatus as described above, the receiving module is further configured to receive a performance data summarization request carrying a target user identifier and a specified time period;
the acquisition module is further used for acquiring all performance data corresponding to the target user identification from the performance data database according to the target user identification;
the acquisition module is further configured to acquire all performance data of the target user in the specified time period, which corresponds to the target user identifier, from all performance data corresponding to the target user identifier;
and the summarizing module is also used for summarizing all the performance data of the target user corresponding to the target user identification in the specified time period.
The present invention also provides a computer apparatus, the apparatus comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of processing performance data as described above.
The present invention also provides a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method of processing performance data as described above.
The invention relates to a performance data processing method and device, a computer device and a readable medium, which receives a performance data summarizing request carrying a target organization identifier and a specified time period; acquiring target organizations with different transfer identifications of at least two target organizations from a data organization structure corresponding to an operation system according to the target organization identifications; acquiring the identifications of all users and the transfer identifications of all users included in the target organization from the target organization corresponding to the transfer identifications of all the target organizations; and summarizing the performance data of the target organization in the specified time period according to the identifications of all users, the transfer identifications of all users and the specified time period which are included by the target organization. By adopting the technical scheme of the invention, the defects of the prior art can be overcome, and the accurate summarization of the performance data can be realized; moreover, the technical scheme of the invention can summarize the performance data of any specified time period, and is very flexible to use.
[ description of the drawings ]
Fig. 1 is a flowchart of a first embodiment of a performance data processing method according to the present invention.
Fig. 2 is a flowchart of a second embodiment of the performance data processing method of the present invention.
Fig. 3 is a block diagram of a first embodiment of a performance data processing apparatus according to the present invention.
Fig. 4 is a block diagram of a second embodiment of the performance data processing apparatus according to the present invention.
FIG. 5 is a block diagram of an embodiment of a computer device of the present invention.
Fig. 6 is an exemplary diagram of a computer device provided by the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a flowchart of a first embodiment of a performance data processing method according to the present invention. As shown in fig. 1, the performance data processing method of this embodiment may specifically include:
100. receiving a performance data summarizing request carrying a target organization identifier and a specified time period;
101. acquiring target organizations with different transfer identifications of at least two target organizations from a data organization structure corresponding to an operation system according to the target organization identifications;
102. acquiring the identifications of all users and the transfer identifications of all users included in the target organization from the target organization corresponding to the transfer identifications of all the target organizations;
103. and summarizing the performance data of the target organization in the specified time period according to the identifications of all users, the transfer identifications of all users and the specified time period which are included by the target organization.
The performance data processing method of the present embodiment may be a performance data processing device, and the performance data processing device may be an electronic entity device or a device integrated by software. The performance data processing device can access a data organization structure corresponding to the operation system and a performance database storing performance data of each user in the operation system.
The data organization structure of the embodiment is a structure similar to a tree, and is used for clearly representing the organization structure relationship of the operation system. From this data organization structure, it is clear which organization is under which organization, which users are included in which organization, and so on. Moreover, the data organization structure of the embodiment is still different from the existing data organization structure: the existing data organization structure is a tree structure established according to the relationship between organizations and the relationship between users in an operation system. When an organization or user is transferred, the organization or user is deleted from under its original parent node and added under its transferred new parent node. In the data organization structure of the embodiment, the relationship between the organizations and the user in the existing data organization structure are maintained; when the organization or the user is transferred, the organization or the user below the original parent node is not deleted, and a transferred new organization or user is added below the transferred new parent node; the data organization structure of this embodiment is capable of presenting the organization and the locations that the user has stayed in before the current location, and all historical transfers. Thus, in the data organization structure of this embodiment, the organization of the same organization identifier may include at least two organizations, and the users of the same user identifier may also include at least two users; in order to identify organizations with the same organization identification located under different parent nodes, different transfer identifications can be configured for the organizations with the same organization identification under different parent nodes; such that the organization identifier and the corresponding transition identifier may collectively uniquely identify an organization in the data organization structure. Similarly, in order to identify users with the same user identifier under different father nodes, different transfer identifiers can be configured for users with the same user identifier under different father nodes; such that the user identification and the corresponding transition identification may collectively uniquely identify a user in the data organization structure.
In the performance data processing method according to the present embodiment, business data is processed based on the latest data organization structure in the context of the data organization structure. When a user wants to query performance data summarization of a certain target organization in a specified time period, a performance data summarization request carrying a target organization identifier and the specified time period can be sent to a processing device of the performance data so as to request the performance data summarization of the target organization in the specified time period. Correspondingly, the performance data processing device receives the performance data summarizing request carrying the target organization identifier and the designated time period. In the data organization structure corresponding to the operating system in this embodiment, when the organization is transferred, the original organization is not deleted, so that at least two target organizations corresponding to the target organization identifier in the data organization structure in this embodiment may be included; but the metastasis signatures of at least two target tissues are not the same. Therefore, the target tissues with different transfer identifications of at least two target tissues can be obtained from the data organization structure according to the target tissue identifications; each transition identifies a different target organization as an entity of the target organization at a different time period. Then, further, the identifiers of all users included in each target organization and the transfer identifiers of the users can be acquired from the target organization corresponding to the transfer identifier of each target organization; in this way, the identities of all users that were and are now belonging to the target organization and the transfer identities of the users can be known. Finally, the performance data of the target organization in the specified time period can be summarized by combining the identifications of all the users included in the target organization, the transfer identifications of all the users and the specified time period. The specified time period of the present embodiment may be any time period for which the user wants to know the performance data summary. For example, the specified time period may include a start time and an end time, with the accuracy of the specified time period being consistent with the accuracy of the time at which performance data is stored in the performance data repository. For example, when the performance data stored in the performance data repository is accurate in time to date, the corresponding designated time period may be represented in a form of X years Y month Z day to M years N month P day. If the time of the performance data stored in the performance data repository is accurate to the time of arrival, minutes, and seconds, the start time and the end time of the corresponding specified time period may also be accurate to the time of arrival, minutes, and seconds.
Further optionally, the step 103 "summarizing the performance data of the target organization in the specified time period according to the identifications of all users, the transfer identifications of each user, and the specified time period included in the target organization" in the foregoing embodiment may specifically include the following steps:
(a1) acquiring all performance data of the target organization in a specified time period from a performance data database according to the identifications of all users, the transfer identifications of all users and the specified time period which are included by the target organization;
(a2) all performance data for the target organization over the specified time period is summed.
In the performance database of this embodiment, performance data of all users in the data organization structure is stored, and since the user identifier and the transfer identifier can only uniquely identify a user at one location in this embodiment, the performance data of the user is also stored according to the user identifier and the transfer identifier when the performance data is stored in the performance database. For example, table 1 is a segment of performance data stored in a performance database.
TABLE 1
According to step 102 of the foregoing embodiment, the identifiers of all users included in the target organization and the transfer identifiers of each user may be acquired. For example, when a target organization has been transferred twice, there are 3 transfer identifiers, such as 0, 1 and 2, in the data organization structure. The target tissue with the transfer identifier 0, the target tissue with the transfer identifier 1 and the target tissue with the transfer identifier 2 can be obtained in the data organization structure according to the identifier of the target tissue.
Then, acquiring the identifiers of all the included users and the transfer identifier of each user from the target organization with the transfer identifier of 0; similarly, the identifiers of all users and the transfer identifiers of all users are respectively acquired from the target organization with the transfer identifier 1 and the transfer identifier 2; when summarizing the performance data of the target organization, it is necessary to acquire the identifiers of all users and the transfer identifiers of each user included in the 3 target organizations corresponding to the three different transfer identifiers. Then, combining the specified time period to be summarized, acquiring all performance data of the target organization in the specified time period from a performance data database; and summarizing.
Further optionally, after step 103, the method may further include: and returning the performance data summary of the target organization in the specified time period so as to return the result of the business data summary request to the requester.
Further optionally, the step (a1) "obtaining all performance data of the target organization in a specified time period from the performance data database according to the identifications of all users included in the target organization, the transfer identification of each user, and the specified time period", specifically may include the following steps:
(b1) acquiring all performance data of all users in the target organization from a performance data database according to the identifications of all users in the target organization and the transfer identifications of all users;
(b2) and acquiring all the performance data of all the users in the target organization in a specified time period from all the performance data of all the users in the target organization, wherein all the performance data is used as all the performance data of the target organization in the specified time period.
For example, when the target organization includes three transfer identifiers, the identifiers of all users and the transfer identifiers of each user included in the target organization, and the three target organizations corresponding to the three transfer identifiers collectively include the identifiers of all users and the transfer identifiers of each user. Since the performance data in the performance database is stored according to the user identifier and the transfer identifier of the user, the performance data of each user in the corresponding target organization included in the target organization can be acquired from the performance data database according to the identifier of each user and the transfer identifier of each user included in the target organization. Since the performance data stored in the performance database records the time for generating the performance data, the performance data occurring in the specified time period can be filtered from the acquired performance data of each user in the corresponding target organization included in the target organization in combination with the specified time period, so as to obtain all the performance data of all the users in the target organization included in the target organization in the specified time period, that is, all the performance data of the target organization in the specified time period. And finally, summing all the performance data of the obtained target organization in a specified time period.
In the performance data processing method of this embodiment, the method for summarizing the performance data in the specified time period by using the above scheme is relatively simple, and according to the user identifiers and the transfer identifiers of the users included in the target organization, and in combination with the specified time period, the corresponding performance data sum can be obtained from the performance database. In the prior art, by means of snapshot of a data organization structure every day, when performance data of a target organization in a specified time period needs to be summarized, due to organization and user transfer, a current data organization structure may have a great change relative to the data organization structure in the specified time period, and at this time, according to the snapshot of the data organization structure every day, a snapshot of the data organization structure every day in the specified time period needs to be obtained, and all users included in the target organization in the specified time period need to be searched; when a user has now been transferred, it is also necessary to search the information of the user from the organization where the user is currently located to obtain the performance data of the user in the target organization within a specified time period, and the summarizing manner is very complicated. Moreover, since the snapshot of the data organization structure is obtained according to a certain time of day, if the specified statistical time period falls in the middle of the day, the summary result is very inaccurate. By adopting the technical scheme, the processing method of the performance data of the embodiment can overcome the defects of the prior art and realize the accurate summarization of the performance data; moreover, the technical scheme of the embodiment can summarize performance data of any specified time period, and is very flexible to use.
Further optionally, on the basis of the technical solution of the foregoing embodiment, before step 101 "obtaining, according to the target organization identifier, a target organization with different transfer identifiers of at least two target organizations from a data organization structure corresponding to the operating system", the method may further include the following steps:
(c1) when a target organization in an operation system is transferred, on the basis of not deleting the target organization before the transfer in the corresponding data organization structure, adding the target organization under a new father node transferred by the target organization;
(c2) configuring transfer marks for the added target organizations according to the latest transfer marks of the target organizations recorded in the data organization structure;
for example, in this embodiment, the transition identifier of the target tissue at the most original position in the data organization structure may be marked as 0, and every time the target tissue is transitioned 1 time, the transition identifiers of the target tissue after the transition may be accumulated by 1, and so on, and a transition identifier different from the previous target tissue may be allocated to the target tissue after each transition.
Further, after the step (c2) "configuring the branch identifier for the added target organization according to the latest branch identifier of the target organization recorded in the data organization structure", the method may further include: and updating the latest transfer identifier of the target organization recorded in the data organization structure according to the transfer identifiers configured for the added target organization.
Further optionally, on the basis of the technical solution of the foregoing embodiment, before step 101 "obtaining, according to the target organization identifier, a target organization with different transfer identifiers of at least two target organizations from a data organization structure corresponding to the operating system", the method may further include the following steps:
(d1) when a user in a target organization in an operation system sends a transfer, on the basis of not deleting the user in the target organization in a corresponding data organization structure, adding users in other organizations into which the user is transferred;
(d2) configuring transfer identifications for the users added in other organizations according to the latest transfer identifications of the users recorded in the data organization structure;
similar to the configuration of the transfer identifier of the target organization, in this embodiment, the transfer identifier of the most original position of the user in the data organization structure may be marked as 0, and the transfer identifier of the user after transfer may be accumulated by 1 every time the user transfers 1 time, and so on, and a transfer identifier different from the previous user may be allocated to the user after transfer each time.
Further optionally, after the step (d2) "configuring a transfer identifier for a user added in another organization according to the latest transfer identifier of the user recorded in the data organization structure", the method may further include: and updating the latest transfer identifications of the users recorded in the data organization structure according to the transfer identifications configured for the users added in other organizations.
That is to say, in this embodiment, in addition to the tree structure that stores the relationships between organizations and organizations in the operation system, the data organization structure may also maintain a transfer identifier table in the data organization structure, where the table may record the latest transfer identifier of each organization and user, so that when the organization or user is transferred, a new transfer identifier is configured for the transferred organization or user according to the latest transfer identifier of the organization or user recorded in the transfer identifier table. For example, the transfer identifier of the most initial organization or user may be marked as 0, and 1 is accumulated every time of transfer to obtain a new transfer identifier; in this embodiment, the latest transfer identifier of the organization or the user needs to be updated in the transfer identifier table in the data organization structure in time, so that the organization or the user can configure an accurate transfer identifier for the organization or the user when transferring next time.
According to the method of the embodiment, the performance data of any target organization in any specified time period can be counted, and the method is very convenient to use. In addition, in this embodiment, the performance data of the target user may be summarized according to the data organization structure and the performance database, and for example, the method may specifically include the following steps:
(e1) receiving a performance data summarizing request carrying a target user identifier and a specified time period;
(e2) acquiring all performance data corresponding to the target user identification from a performance data database according to the target user identification;
(e3) acquiring all performance data of a target user corresponding to the target user identification in a specified time period from all performance data corresponding to the target user identification;
(e4) and summing all the performance data of the target users corresponding to the target user identification in the specified time period.
In this embodiment, the performance data of a certain target user may also be summarized, and at this time, the processing device of the performance data receives a performance data summarizing request carrying a target user identifier and a specified time period, and then acquires all the performance data corresponding to the target user from the performance data database according to the target user identifier. In this case, the performance data in the performance data database is based on the user identifier and the transfer identifier of the user, but in the present embodiment, all the performance data of the target user identifier is collected, so that it is not necessary to consider which parent node the target user is generated at, and therefore, all the performance data generated by the target user is acquired from the performance data database based on only the target user identifier without considering the transfer identifier of the corresponding target user. Then, in combination with a specified time period, acquiring all performance data of the target user in the specified time period from all performance data generated by the target user; and finally, summing all the performance data of the target user in the specified time period, and recording to obtain the performance data summary of the target user identification in the specified time period.
FIG. 2 is an exemplary diagram of a data organization structure provided by the present invention. The data organization structure as shown in fig. 2 may be a partial section of the data organization structure of the operating system. As shown in FIG. 2, A, B, C, D and E in the data organization structure are organization identifiers, respectively, and numerals 1 and 2 represent transition identifiers, respectively, e.g., organization D-1 represents that the transition identifier of organization D is 1. Tissue C-2 indicates that the metastasis signature of tissue C is 2. In the data organization structure, the organization D-1 is transferred from the position below the organization B-1 to the position below the organization C-2, and the corresponding organization mark is changed into 2, namely the organization D-2 is obtained. Because the tissue D is transferred integrally, the Zhang III and the Li IV of the user in the tissue D are transferred along with the tissue, the transfer identifications of the Zhang III and the Li IV are also changed successively, and after the transfer, the tissue D-2 can include the Zhang III-2 and the Li IV-2.
The performance data processing of the present invention is described below by way of example of the data organization structure of the embodiment shown in fig. 2. In the data organization structure, when a user needs to know the performance data summarization of an organization D in a specified time period, a performance data processing device receives a performance data summarization request carrying an identification of the organization, such as the organization D and the specified time period; then, based on the tissue id such as tissue D, tissue D-1 having a transfer id of 1 for tissue D and tissue D-2 having a transfer id of 2 for tissue D are obtained from the data organization structure shown in fig. 2. Then, the user Zhang III and the transfer mark 1 of the user Zhang III, which are included in each tissue D-1, are obtained from each tissue D-1, namely, the user Zhang III-1 and the user Lile IV and the transfer mark 1 of the user Lile IV, namely, the Lile IV-1 are represented. Similarly, Zhang three-2 and Liquan-2 can also be obtained from the tissue D-2. It can now be known that all users and user identities included in the organization D can be represented as zhang san-1, zhang san-2, lie tetra-1 and lie tetra-2. In this way, performance data for the organization D for a specified time period may be aggregated based on Zhang three-1, Zhang three-2, Lile four-1, and Lile four-2 in the organization D and the specified time period.
In addition, according to the data organization structure shown in fig. 2, summary of performance data of zhang san or lie san in a specific time period can be counted.
When the technical scheme of the embodiment is adopted to summarize the performance data, the defects of the prior art can be overcome, and the performance data can be accurately summarized; moreover, the technical scheme of the embodiment can summarize performance data of any specified time period, and is very flexible to use.
Fig. 3 is a block diagram of a first embodiment of a performance data processing apparatus according to the present invention. As shown in fig. 3, the performance data processing apparatus according to this embodiment may specifically include: a receiving module 10, and obtaining modules 11 and 12.
The receiving module 10 is configured to receive a performance data summarization request carrying a target organization identifier and a specified time period;
the obtaining module 11 is configured to obtain, according to the target organization identifier in the performance data summarization request received by the receiving module 10, target organizations with different transfer identifiers from a data organization structure corresponding to the operating system;
the obtaining module 11 is further configured to obtain, from a target organization corresponding to the transfer identifier of each target organization, identifiers of all users included in the target organization and the transfer identifiers of each user;
the summarizing module 12 is configured to summarize performance data of the target organization in a specified time period according to the identifiers of all users, the transfer identifiers of the users, and the specified time period, which are included in the target organization and acquired by the acquiring module 11.
The implementation principle and technical effect of the performance data processing device in this embodiment by using the modules are the same as those of the related method embodiments, and reference may be made to the description of the related method embodiments in detail, which is not repeated herein.
Fig. 4 is a block diagram of a second embodiment of the performance data processing apparatus according to the present invention. As shown in fig. 4, the performance data processing device of the present embodiment further describes the technical solution of the present invention in more detail on the basis of the technical solution of the embodiment shown in fig. 3.
In the performance data processing apparatus of the present embodiment, the summarizing module 12 is specifically configured to:
acquiring all performance data of the target organization in a specified time period from a performance data database according to the identifications of all users, the transfer identifications of all users and the specified time period, which are included in the target organization and acquired by the acquisition module 11;
all performance data for the target organization over the specified time period is summed.
Further optionally, in the performance data processing apparatus of this embodiment, the summarizing module 12 is specifically configured to:
acquiring all performance data of all users in the target organization from a performance data database according to the identifications of all users in the target organization and the transfer identifications of all users;
and acquiring all the performance data of all the users in the target organization in a specified time period from all the performance data of all the users in the target organization, wherein all the performance data is used as all the performance data of the target organization in the specified time period.
Further optionally, as shown in fig. 4, the performance data processing apparatus according to this embodiment further includes:
an adding module 13, configured to add, when a target organization in the operation system is transferred, the target organization under a new parent node to which the target organization is transferred, on the basis of not deleting the target organization before transfer in the corresponding data organization structure;
a configuration module 14, configured to configure the transfer identifier for the target organization added by the adding module 13 according to the latest transfer identifier of the target organization recorded in the data organization structure.
Further, the performance data processing device according to this embodiment further includes:
and an updating module 15, configured to update the latest transfer identifier of the target organization recorded in the data organization structure according to the transfer identifier configured by the configuration module 14 for the added target organization.
Correspondingly, the obtaining module 11 is configured to obtain target organizations with different transfer identifications of at least two target organizations from the data organization structure corresponding to the operating system configured by the configuration module 14 according to the target organization identifications in the performance data summarization request received by the receiving module 10. That is, the acquisition module 11 is guaranteed that the target organizations with different branch identifications of at least two target organizations are acquired in the latest data organization structure.
Further optionally, in the performance data processing apparatus of this embodiment, the adding module 13 is further configured to, when a user in a target organization in the operation system sends a transfer, add the user in another organization to which the user transfers without deleting the user in the target organization in the corresponding data organization structure;
the configuration module 14 is further configured to configure a transfer identifier for the user added by the adding module 13 in other organizations according to the latest transfer identifier of the user recorded in the data organization structure;
further, the updating module 15 is further configured to update the latest transfer identifier of the user recorded in the data organization structure according to the transfer identifier configured by the configuration module 14 for the user added in the other organization.
Further optionally, in the performance data processing apparatus of this embodiment, the receiving module 10 is further configured to receive a performance data summarizing request carrying a target user identifier and a specified time period;
the obtaining module 11 is further configured to obtain all performance data corresponding to the target user identifier from the performance data database according to the target user identifier;
the obtaining module 11 is further configured to obtain all performance data of the target user in a specified time period, which corresponds to the target user identifier, from all performance data corresponding to the target user identifier;
the aggregation module 12 is further configured to sum all performance data for the target user over a specified time period corresponding to the target user identification.
The implementation principle and technical effect of the performance data processing device in this embodiment by using the modules are the same as those of the related method embodiments, and reference may be made to the description of the related method embodiments in detail, which is not repeated herein.
FIG. 5 is a block diagram of an embodiment of a computer device of the present invention. As shown in fig. 5, the computer device of the present embodiment includes: one or more processors 30, and a memory 40, the memory 40 for storing one or more programs, when the one or more programs stored in the memory 40 are executed by the one or more processors 30, cause the one or more processors 30 to implement the method of processing performance data of the embodiment shown in fig. 1-2 above. The embodiment shown in fig. 5 is exemplified by including a plurality of processors 30.
For example, fig. 6 is an exemplary diagram of a computer device provided by the present invention. FIG. 6 illustrates a block diagram of an exemplary computer device 12a suitable for use in implementing embodiments of the present invention. The computer device 12a shown in FIG. 6 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 6, computer device 12a is in the form of a general purpose computing device. The components of computer device 12a may include, but are not limited to: one or more processors 16a, a system memory 28a, and a bus 18a that connects the various system components (including the system memory 28a and the processors 16 a).
The system memory 28a may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30a and/or cache memory 32 a. Computer device 12a may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34a may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, and commonly referred to as a "hard drive"). Although not shown in FIG. 6, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18a by one or more data media interfaces. System memory 28a may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of the various embodiments of the invention described above in fig. 1-4.
A program/utility 40a having a set (at least one) of program modules 42a may be stored, for example, in system memory 28a, such program modules 42a including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may include an implementation of a network environment. Program modules 42a generally perform the functions and/or methodologies described above in connection with the various embodiments of fig. 1-4 of the present invention.
The processor 16a executes various functional applications and data processing by executing programs stored in the system memory 28a, for example, to implement the processing method of performance data shown in the above-described embodiment.
The present invention also provides a computer-readable medium on which a computer program is stored, which program, when executed by a processor, implements the processing method of performance data as shown in the above embodiments.
The computer-readable media of this embodiment may include RAM30a, and/or cache memory 32a, and/or storage system 34a in system memory 28a in the embodiment illustrated in fig. 6 described above.
With the development of technology, the propagation path of computer programs is no longer limited to tangible media, and the computer programs can be directly downloaded from a network or acquired by other methods. Accordingly, the computer-readable medium in the present embodiment may include not only tangible media but also intangible media.
The computer-readable medium of the present embodiments may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice.
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, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention 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, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (14)
1. A method of processing performance data, the method comprising:
receiving a performance data summarizing request carrying a target organization identifier and a specified time period;
acquiring target organizations with different transfer identifications of at least two target organizations from a data organization structure corresponding to an operation system according to the target organization identifications, wherein when the target organizations or users in the data organization structure are transferred, the transfer identifications are configured for the target organizations or users added under a new father node into which the target organizations or users are transferred on the basis of not deleting the target organizations or users before the transfer in the corresponding data organization structure;
acquiring the identifications of all users and the transfer identifications of all the users included in the target organization from the target organization corresponding to the transfer identifications of all the target organizations;
and summarizing the performance data of the target organization in the specified time period according to the identifications of all the users, the transfer identifications of all the users and the specified time period which are included by the target organization.
2. The method according to claim 1, wherein aggregating performance data of the target organization over the specified time period according to the identities of all the users, the transfer identities of each of the users, and the specified time period, which are included in the target organization, specifically comprises:
acquiring all performance data of the target organization in the specified time period from a performance data database according to the identifications of all the users, the transfer identifications of all the users and the specified time period, which are included by the target organization;
summing all performance data for the target organization over the specified time period.
3. The method according to claim 2, wherein acquiring all performance data of the target organization in the specified time period from a performance data database according to the identifications of all the users, the transfer identifications of each of the users, and the specified time period included in the target organization specifically comprises:
acquiring all performance data of all the users in the target organization from the performance data database according to the identifications of all the users in the target organization and the transfer identifications of all the users;
and acquiring all the performance data of all the users in the target organization in the specified time period from all the performance data of all the users in the target organization, wherein all the performance data of all the users in the target organization is included in the target organization, and the performance data is used as all the performance data of the target organization in the specified time period.
4. The method according to any of claims 1-3, wherein before obtaining the target organization with different transfer identities of at least two target organizations from the data organization structure corresponding to the operating system according to the target organization identity, the method further comprises:
when the target organization in the operation system is transferred, adding the target organization under a new father node transferred by the target organization on the basis of not deleting the target organization before the transfer in the corresponding data organization structure;
configuring transfer identifications for the added target organizations according to the latest transfer identifications of the target organizations recorded in the data organization structure;
further, after configuring the added transfer identifier for the target organization according to the latest transfer identifier of the target organization recorded in the data organization structure, the method further includes:
and updating the latest transfer identifier of the target organization recorded in the data organization structure according to the transfer identifier configured for the added target organization.
5. The method according to any of claims 1-3, wherein before obtaining the target organization with different transfer identities of at least two target organizations from the data organization structure corresponding to the operating system according to the target organization identity, the method further comprises:
when the user in the target organization in the operation system is transferred, adding the user in other organizations into which the user is transferred on the basis of not deleting the user in the target organization in the corresponding data organization structure;
configuring transfer identifications for the users added in other organizations according to the latest transfer identifications of the users recorded in the data organization structure;
further, after configuring a transfer identifier for the user added in the other organization according to the latest transfer identifier of the user recorded in the data organization structure, the method further includes:
and updating the latest transfer identifier of the user recorded in the data organization structure according to the transfer identifier configured for the user added in the other organizations.
6. The method according to any one of claims 1-3, further comprising:
receiving a performance data summarizing request carrying a target user identifier and a specified time period;
acquiring all performance data corresponding to the target user identification from the performance data database according to the target user identification;
acquiring all performance data of a target user corresponding to the target user identifier in the specified time period from all performance data corresponding to the target user identifier;
and summing all performance data of the target user corresponding to the target user identification in the specified time period.
7. An apparatus for processing performance data, the apparatus comprising:
the receiving module is used for receiving a performance data summarizing request carrying a target organization identifier and a specified time period;
an obtaining module, configured to obtain, according to the target organization identifier, target organizations with different transfer identifiers of at least two target organizations from a data organization structure corresponding to an operating system, where, when the target organization or a user in the data organization structure is transferred, a transfer identifier is configured for the target organization or the user added under a new parent node to which the target organization or the user is transferred, on the basis of not deleting the target organization or the user before the transfer in the corresponding data organization structure;
the obtaining module is further configured to obtain, from a target tissue corresponding to the transfer identifier of each target tissue, identifiers of all users included in the target tissue and the transfer identifiers of each user;
and the summarizing module is used for summarizing the performance data of the target organization in the specified time period according to the identifications of all the users, the transfer identifications of all the users and the specified time period which are included by the target organization.
8. The apparatus of claim 7, wherein the aggregation module is specifically configured to:
acquiring all performance data of the target organization in the specified time period from a performance data database according to the identifications of all the users, the transfer identifications of all the users and the specified time period, which are included by the target organization;
summing all performance data for the target organization over the specified time period.
9. The apparatus of claim 8, wherein the aggregation module is specifically configured to:
acquiring all performance data of all the users in the target organization from the performance data database according to the identifications of all the users in the target organization and the transfer identifications of all the users;
and acquiring all the performance data of all the users in the target organization in the specified time period from all the performance data of all the users in the target organization, wherein all the performance data of all the users in the target organization is included in the target organization, and the performance data is used as all the performance data of the target organization in the specified time period.
10. The apparatus of any of claims 7-9, further comprising:
an adding module, configured to add the target organization under a new parent node to which the target organization is transferred, on the basis of not deleting the target organization before transfer in the corresponding data organization structure when the target organization in the operating system is transferred;
the configuration module is used for configuring transfer identifications for the added target organizations according to the latest transfer identifications of the target organizations recorded in the data organization structure;
further, the apparatus further comprises:
and the updating module is used for updating the latest transfer identifier of the target organization recorded in the data organization structure according to the transfer identifier configured for the added target organization.
11. The apparatus of claim 10, wherein:
the adding module is further configured to add the user to another organization to which the user is transferred, on the basis of not deleting the user in the target organization in the corresponding data organization structure, when the user in the target organization in the operating system is transferred;
the configuration module is further configured to configure a transfer identifier for the user added to the other organization according to the latest transfer identifier of the user recorded in the data organization structure;
further, the updating module is further configured to update the latest transfer identifier of the user recorded in the data organization structure according to the transfer identifier configured for the user added to the other organization.
12. The apparatus according to any one of claims 7-9, wherein:
the receiving module is also used for receiving a performance data summarizing request carrying a target user identifier and a specified time period;
the acquisition module is further used for acquiring all performance data corresponding to the target user identification from the performance data database according to the target user identification;
the acquisition module is further configured to acquire all performance data of the target user in the specified time period, which corresponds to the target user identifier, from all performance data corresponding to the target user identifier;
and the summarizing module is also used for summarizing all the performance data of the target user corresponding to the target user identification in the specified time period.
13. A computer device, the device comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
14. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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