CN113313435A - Transaction performance data statistical method, electronic device, medium, and program product - Google Patents
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Abstract
The embodiment of the disclosure discloses a transaction performance data statistical method, electronic equipment, medium and program product. The transaction performance data statistical method comprises the following steps: acquiring event data of a plurality of state nodes in a transaction performance process; assembling the event data according to a preset combination of the dimension value and the index, and calculating statistical data corresponding to the preset combination according to the assembled event data; determining a specified combination of the dimension value and the index according to the query request; and according to the specified combination of the dimension value and the index, using the statistical data corresponding to the preset combination to determine the statistical data corresponding to the specified combination.
Description
Technical Field
The present disclosure relates to the field of big data technologies, and in particular, to a transaction performance data statistics method, an electronic device, a medium, and a program product.
Background
In an e-commerce scenario, the process from the user's successful payment to the user's receipt of goods or services is referred to as a transaction fulfillment process. Taking a take-out scene as an example, according to the normal occurrence sequence of transaction performance, the normal flow is called a forward performance flow, namely order creation, user payment, order receiving of a merchant, delivery by a rider and normal completion of an order. In exceptional situations, such as merchant shortage/logistics/user contact failure, the user/rider/merchant/platform may initiate a cancel or return operation. Cancellation is initiated by a certain party, and consenting or refusing is performed by a subsequent node, so that a fulfillment reverse flow is formed.
The timeline (timeline) is a relatively complete recording system formed by connecting events in one or more aspects in series according to a time sequence. Timeline events refer to events that occur during the course of transaction performance that can affect the progress of transaction performance. Taking the transaction performance process of the take-away order as an example, such as user payment, merchant receipt, merchant call receipt, rider receipt and the like belong to timeline events, and the timeline events are sorted and recorded according to time, so that a transaction performance timeline is finally formed. The timeline event corresponds to a node of the transaction fulfillment process, e.g., if the user makes a payment, a timeline event is generated at the "user pays" node.
In order to ensure that the transaction is carried out smoothly, the states of all nodes in the fulfillment process need to be tracked in real time, abnormal events influencing fulfillment in the e-commerce system need to be processed in real time, and stable and efficient operation of the e-commerce system is achieved.
Disclosure of Invention
To solve the problems in the related art, embodiments of the present disclosure provide a transaction performance data statistics method, an electronic device, a medium, and a program product.
In a first aspect, a transaction performance data statistics method is provided in an embodiment of the present disclosure.
Specifically, the transaction performance data statistics method includes:
acquiring event data of a plurality of state nodes in a transaction performance process;
assembling the event data according to a preset combination of the dimension value and the index, and calculating statistical data corresponding to the preset combination according to the assembled event data;
determining a specified combination of the dimension value and the index according to the query request;
and according to the specified combination of the dimension value and the index, using the statistical data corresponding to the preset combination to determine the statistical data corresponding to the specified combination.
With reference to the first aspect, in a first implementation manner of the first aspect, the assembling the event data according to a preset combination of the dimension value and the index includes:
and generating a query index based on a preset combination of the dimension values in a table corresponding to the indexes, and storing event data corresponding to the dimension values and the indexes.
With reference to the first aspect, in a second implementation manner of the first aspect, the assembling the event data according to a preset combination of the dimension value and the index includes:
and generating a query index based on the preset combination of the dimension value and the index, and storing event data corresponding to the dimension value and the index.
With reference to the first aspect, in a third implementation manner of the first aspect, the determining, according to a specified combination of the dimension value and the index, statistical data corresponding to the specified combination using statistical data corresponding to the preset combination includes:
determining one or more preset combinations corresponding to the specified combinations;
and determining statistical data corresponding to the specified combination according to the statistical data corresponding to the one or more preset combinations.
With reference to the first aspect, in a fourth implementation manner of the first aspect, the present disclosure further includes:
after acquiring event data of a plurality of state nodes in a transaction performance process, acquiring associated data of the event data, wherein the associated data describes detail information related to the event;
and determining the statistical data of the associated data of the event corresponding to the specified combination according to the specified combination of the dimension value and the index.
A second aspect of the present disclosure provides a transaction performance data display method, including:
displaying a plurality of dimensions and indexes related to the transaction performance process;
displaying statistical data corresponding to a combination of the dimension value and the index according to a dimension value input by a user,
wherein the statistical data is obtained by counting event data of a plurality of state nodes in the transaction performance process.
With reference to the second aspect, in a first implementation manner of the second aspect, the method further includes:
and displaying the statistical data of the associated data of the event corresponding to the combination of the dimension value and the index according to the dimension value input by the user.
In a third aspect, a transaction performance data statistics apparatus is provided in the disclosed embodiments.
Specifically, the transaction performance data statistics device includes:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire event data of a plurality of state nodes in a transaction performance process;
a calculation module configured to assemble the event data according to a preset combination of the dimensional value and the index, and calculate statistical data corresponding to the preset combination according to the assembled event data;
a first determination module configured to determine a specified combination of the dimension value and the index from the query request;
a second determination module configured to determine statistical data corresponding to a specified combination of the dimension value and an index using statistical data corresponding to the preset combination.
With reference to the third aspect, in a first implementation manner of the third aspect, the assembling the event data according to a preset combination of the dimension value and the index includes:
and generating a query index based on a preset combination of the dimension values in a table corresponding to the indexes, and storing event data corresponding to the dimension values and the indexes.
With reference to the third aspect, in a second implementation manner of the third aspect, the assembling the event data according to a preset combination of the dimension value and the index includes:
and generating a query index based on the preset combination of the dimension value and the index, and storing event data corresponding to the dimension value and the index.
With reference to the third aspect, in a third implementation manner of the third aspect, the determining, according to a specified combination of the dimension value and the index, statistical data corresponding to the specified combination using statistical data corresponding to the preset combination includes:
determining one or more preset combinations corresponding to the specified combinations;
and determining statistical data corresponding to the specified combination according to the statistical data corresponding to the one or more preset combinations.
With reference to the third aspect, in a fourth implementation manner of the third aspect, the apparatus further includes:
the second acquisition module is configured to acquire associated data of event data after acquiring the event data of a plurality of state nodes in the transaction fulfillment process, wherein the associated data describes detail information related to the event;
a third determination module configured to determine statistical data of associated data of events corresponding to a specified combination of the dimension value and the index according to the specified combination.
A fourth aspect of the present disclosure provides a transaction fulfillment data display apparatus, comprising:
a first presentation module configured to present a plurality of dimensions and indicators related to a transaction fulfillment process;
a second presentation module configured to present statistical data corresponding to a combination of the dimension value and the index according to a dimension value input by a user,
wherein the statistical data is obtained by counting event data of a plurality of state nodes in the transaction performance process.
With reference to the fourth aspect, in a first implementation manner of the fourth aspect, the apparatus further includes:
and the third display module is configured to display the statistical data of the associated data of the event corresponding to the combination of the dimension value and the index according to the dimension value input by the user.
In a fifth aspect, the present disclosure provides an electronic device, including a memory and a processor, where the memory is configured to store one or more computer instructions, where the one or more computer instructions are executed by the processor to implement the method according to any one of the first implementation manners of the first aspect to the second aspect.
In a sixth aspect, an embodiment of the present disclosure provides a computer-readable storage medium having stored thereon computer instructions, which, when executed by a processor, implement the method according to any one of the first implementation manners of the first aspect to the second aspect.
In a seventh aspect, an embodiment of the present disclosure provides a computer program product, which includes computer instructions that, when executed by a processor, implement the method steps according to any one of the first implementation manners of the first aspect to the second aspect.
According to the embodiment of the disclosure, event data of a plurality of state nodes in a transaction performance process are obtained and assembled according to the preset combination of the dimension values and the indexes, and events of the state nodes can be collected and summarized from the aspects of system operation and maintenance and the dimension and the index required by tracking, so that an operator of an electronic commerce can comprehensively master real-time performance data of a transaction performance whole link, and effective tracking of the whole link is realized. Meanwhile, the statistical data corresponding to the preset combination is calculated according to the assembled event data, the statistical data corresponding to the preset combination is determined according to the specified combination of the dimension value and the index in the query request, the statistical data corresponding to the specified combination is used, the query speed can be effectively improved, the rapid feedback and the real-time updating of the statistical data are realized, the operation and maintenance personnel of the e-commerce can be helped to master the operation condition of each state node in the transaction performance overall link in time, the abnormal events influencing the performance in the e-commerce system can be processed in time, and the stable and efficient operation of the e-commerce system is realized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
Other features, objects, and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments when taken in conjunction with the accompanying drawings. The following is a description of the drawings.
Fig. 1 illustrates a flow diagram of a transaction performance data statistics method according to an embodiment of the present disclosure.
FIG. 2 illustrates a system framework diagram of a transaction performance data statistics method according to an embodiment of the present disclosure.
FIG. 3 illustrates a data storage structure diagram according to an embodiment of the disclosure.
FIG. 4 illustrates a transaction fulfillment data presentation interface diagram, according to an embodiment of the disclosure.
Fig. 5A illustrates a block diagram of a transaction performance data statistics apparatus, according to an embodiment of the present disclosure.
Fig. 5B illustrates a block diagram of a transaction fulfillment data presentation device, according to an embodiment of the present disclosure.
Fig. 6 shows a block diagram of an electronic device according to an embodiment of the present disclosure.
FIG. 7 shows a schematic block diagram of a computer system suitable for use in implementing a method according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts not relevant to the description of the exemplary embodiments are omitted in the drawings.
In the present disclosure, it is to be understood that terms such as "including" or "having," etc., are intended to indicate the presence of the disclosed features, numbers, steps, behaviors, components, parts, or combinations thereof, and are not intended to preclude the possibility that one or more other features, numbers, steps, behaviors, components, parts, or combinations thereof may be present or added.
It should be further noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In the present disclosure, the acquisition of the user information or the user data is an operation that is authorized, confirmed, or actively selected by the user.
In the process of providing the present disclosure, the inventor finds that the transaction center responsible for the forward flow of performing, the waybill center responsible for the logistics transportation, and the reverse service center responsible for the reverse flow of performing are independent from each other, so that the e-commerce operation and maintenance personnel cannot check the real-time performing data of the whole link, and lack the real-time statistical data of the states of each node, which is not beneficial to grasp the operation condition of the whole link of performing transaction in real time and find abnormality.
The embodiment of the disclosure provides a transaction performance data statistical method, which comprises the following steps: acquiring event data of a plurality of state nodes in a transaction performance process; assembling the event data according to a preset combination of the dimension value and the index, and calculating statistical data corresponding to the preset combination according to the assembled event data; determining a specified combination of the dimension value and the index according to the query request; and according to the specified combination of the dimension value and the index, using the statistical data corresponding to the preset combination to determine the statistical data corresponding to the specified combination.
According to the embodiment of the disclosure, event data of a plurality of state nodes in a transaction performance process are obtained and assembled according to the preset combination of the dimension values and the indexes, and events of the state nodes can be collected and summarized from the aspects of system operation and maintenance and the dimension and the index required by tracking, so that an operator of an electronic commerce can comprehensively master real-time performance data of a transaction performance whole link, and effective tracking of the whole link is realized. Meanwhile, the statistical data corresponding to the preset combination is calculated according to the assembled event data, the statistical data corresponding to the preset combination is determined according to the specified combination of the dimension value and the index in the query request, the statistical data corresponding to the specified combination is used, the query speed can be effectively improved, the rapid feedback and the real-time updating of the statistical data are realized, the operation and maintenance personnel of the e-commerce can be helped to master the operation condition of each state node in the transaction performance overall link in time, the abnormal events influencing the performance in the e-commerce system can be processed in time, and the stable and efficient operation of the e-commerce system is realized.
Fig. 1 illustrates a flow diagram of a transaction performance data statistics method according to an embodiment of the present disclosure. As shown in fig. 1, the transaction performance data statistics method includes the following steps S101-S104:
in step S101, event data of a plurality of state nodes in the transaction fulfillment process is acquired;
in step S102, assembling the event data according to a preset combination of the dimension value and the index, and calculating statistical data corresponding to the preset combination according to the assembled event data;
in step S103, a specified combination of the dimension value and the index is determined according to the query request;
in step S104, according to a specified combination of the dimension value and the index, statistical data corresponding to the specified combination is determined using statistical data corresponding to the preset combination.
FIG. 2 illustrates a system framework diagram of a transaction performance data statistics method according to an embodiment of the present disclosure.
As shown in FIG. 2, the fulfillment forward database records timeline events corresponding to nodes in the fulfillment forward flow. The nodes in the fulfillment forward flow include, for example, any one or more of the following nodes: order creation, user payment, order validation, merchant order taking, order finalization, wind control interception, payment failure, order invalidation, and the like. Taking the node "order creation" as an example, in an outsourcing scene, after a user selects a dish and clicks a "settle" button, a timeline event of "order creation" is generated in the system. Similarly, a "user pays" timeline event is generated in the system after the user completes payment based on the payment amount of the order.
The waybill information database records timeline events corresponding to nodes in the platform delivery process, and the nodes in the platform delivery process include any one or more of the following nodes: waybill generation, distributor order taking, rider assignment, rider to store, rider pickup, distribution completion, distribution failure, etc. Taking the node "waybill generation" as an example, in an outsourcing scene, after a user finishes paying for an order, the system automatically generates a waybill for the order, thereby generating a "waybill generation" timeline event.
The delivery information database records timeline events corresponding to nodes in the merchant self-provisioning process, including, for example, any one or more of the following: drop-in self-provisioning (i.e., change from platform delivery to merchant self-delivery), start self-provisioning, self-provisioning rider pick-up, self-provisioning rider to store, self-provisioning complete, cancel self-provisioning, and so forth. Taking the node "self-matching rider order taking" as an example, in an outsourcing scene, after the self-matching rider receives a distribution order from a merchant, a timeline event of "self-matching rider order taking" is generated.
The fulfillment reversal database records timeline events corresponding to nodes in the fulfillment reversal flow, where the nodes in the fulfillment reversal flow include any one or more of the following nodes: user application cancellation, customer service agreement, customer service rejection, user withdrawal application, merchant agreement, merchant rejection, and the like. Taking the node "user applies for cancellation" as an example, in an outsourcing scene, after a user submits an application for canceling an order, a timeline event of "user applies for cancellation" is generated.
According to the embodiment of the disclosure, obtaining event data of a plurality of state nodes in a transaction performance process includes, for example, obtaining timeline event data of the plurality of state nodes from one or more of a performance forward database, a delivery information database, an waybill information database, and a performance reverse database shown in fig. 2, where the timeline event data may include, for example, one or more items of description information such as an event name, an occurrence time of an event, and a related amount. The event name may be the same as the corresponding state node name. For example, one timeline event data corresponding to the state node "order creation" may include the event name "order creation", the time of occurrence of the event "2021-6-30-17: 09", the amount of money involved is 32 yuan, and so on.
According to the embodiment of the disclosure, after the timeline event is acquired, data cleaning is performed to clean out needed target data. For example, the target data may be set according to actual needs, such as removing unnecessary data from the event data acquired from the transaction forward, delivery information, motion information, and reverse information databases. Alternatively, if the target data further includes other data not included in the event data acquired from the transaction forward, delivery, movement and reverse information databases, the other data may be acquired from the original database of the e-commerce platform system, such as a database of a transaction center, a waybill center, a reverse service center, etc., or may be acquired from a dimension table database. According to an embodiment of the present disclosure, the dimension table database may include a merchant dimension table for recording merchant information, a brand dimension table for recording brand information, a region dimension table for recording region information, and the like.
According to an embodiment of the present disclosure, the target is stored in an OLAP (On-Line Transaction Processing) data mart. The OLAP type database supports mass data fast query and is suitable for real-time statistics of transaction performance data.
And then, assembling the event data in the OLAP data mart according to a preset combination of the dimension value and the index, and calculating statistical data corresponding to the preset combination according to the assembled event data.
According to an embodiment of the present disclosure, the indicator corresponds to a status node in the transaction fulfillment process, and the preset combination of dimensional values and indicators includes a preset combination of multiple dimensional values and a single indicator.
FIG. 3 illustrates a data storage structure diagram according to an embodiment of the disclosure.
According to embodiments of the present disclosure, dimensions may include, for example, any one or more of: city, brand, guest unit price, store type, restaurant name. The dimension value of the dimension "city" may include, for example, beijing, shanghai, tianjin, etc., the dimension value of the dimension "brand" may include, for example, "big safflower", "small green leaf", etc., the dimension value of the dimension "guest unit price" may include, for example, "high guest unit price", "low guest unit price", etc., the dimension value of the dimension "store type" may include, for example, "large retail store", "regional store", "large brand store", etc., and the dimension value of the dimension "restaurant name" may include, for example, a specific restaurant name, such as "big safflower chongmen store", "small green leaf stable store", etc.
For ease of illustration, only three dimensions and their corresponding exemplary dimension values are illustrated in fig. 3. However, it will be appreciated by those skilled in the art that dimensions and dimensional values other than those shown in the figures may be provided according to actual needs.
According to embodiments of the present disclosure, the metrics may correspond to status nodes, for example, the metrics may include one or more of payment completion, merchant pending order, merchant order, programmed cancellation, order invalidation, order completion, merchant self-delivery, distributor order, knight to store, knight pick up, knight distribution, delivery failure, delivery success. Fig. 3 illustrates an example of the index "payment completed".
According to an embodiment of the present disclosure, assembling the event data according to a preset combination of the dimension value and the index includes: and generating a query index based on a preset combination of the dimension values in a table corresponding to the indexes, and storing event data corresponding to the dimension values and the indexes.
According to the embodiment of the disclosure, the query index is obtained by splicing identifiers corresponding to the dimension values respectively.
Fig. 3 shows an example of preset combinations of dimensional values. As shown in fig. 3, the preset combination of the dimension values includes: shanghai-x brand-high waybill, Shanghai-y brand-high waybill, Shanghai-x brand-low waybill, Beijing-x brand-high waybill, Beijing-y brand-high waybill, and Beijing-x brand-low waybill.
According to an embodiment of the present disclosure, the dimension values are assigned corresponding identifiers, for example, the identifier of shanghai is 1, the identifier of beijing is 2, the identifier of x brand is 3, the identifier of y brand is 4, the identifier of high customer order is 5, the identifier of low customer order is 6, and the query index is obtained by concatenating the identifiers of the dimension values: 135. 145, 146, 235, 245, 236, respectively corresponding to preset combinations of dimensional values: shanghai-x brand-high waybill, Shanghai-y brand-high waybill, Shanghai-x brand-low waybill, Beijing-x brand-high waybill, Beijing-y brand-high waybill, and Beijing-x brand-low waybill.
According to an embodiment of the present disclosure, each index corresponds to a different table, for example, fig. 3 shows table 1 corresponding to the index "payment completed". In table 1, the secondary ID is a sequence number of the stored timeline event, the storage ID is a query index, and the timeline event is a timeline event corresponding to the query index. For example, in table 1, the timeline event with the secondary ID of 1 is timeline event data of a combination of dimension values "shanghai-x brand-high order", which may record, for example, the time when the payment completion event occurs, the amount of money involved, and the like. In this way, in table 1 corresponding to the index "payment completed", records relating to events corresponding to the dimension values and the index may be stored with a preset combination of dimension values as a query index.
When retrieving the timeline event corresponding to the preset combination of the dimension value and the index, the corresponding table is positioned according to the index, and then the timeline event in the table is positioned through the inverted index. Taking table 1 as an example, timeline data corresponding to the dimension values or the combination of the dimension values can be retrieved by inverted indexing, for example, the auxiliary IDs of the timeline data corresponding to the dimension value "shanghai" are 1, 2, and 3, the auxiliary IDs of the timeline data corresponding to the dimension value "x brand" are 1, 4, and 6, the auxiliary IDs of the timeline data corresponding to the dimension value "low customer order" are 3 and 6, the auxiliary IDs of the timeline data corresponding to the dimension value "beijing" are 4, 5, and 6, the auxiliary IDs of the timeline data corresponding to the dimension value "y brand" are 2, 3, and 5, and the auxiliary IDs of the timeline data corresponding to the dimension value "high customer order" are 1, 2, 4, and 5. Similarly, the secondary IDs of the timeline data corresponding to the dimension value combination "shanghai-gao ticket" are 1, 2.
Table 1 is subjected to reverse index lookup according to the preset combination of the dimension values, and table 2 in fig. 3 can be obtained. In table 2, a key is a query index corresponding to a preset combination of dimensional values, and a stored record corresponding to the key "135" is event data of an index "payment completed" corresponding to a preset combination of dimensional values "shanghai-x brand-high order", including a payment amount (i.e., "value" in table 2) and a payment time (i.e., "time" in table 2). Specifically, as shown in table 2, the predetermined combination of dimension values "shanghai-x brand-high order" has a 128-dollar order payment completion at 10:57, a 99-dollar order payment completion at 10:58, a 1024-dollar order payment completion at 10:59, and a 512-dollar order payment completion at 11: 00.
In this way, the assembly of event data by preset combinations of dimensional values and indices may be achieved.
According to an embodiment of the present disclosure, assembling the event data according to a preset combination of the dimension value and the index includes: and generating a query index based on the preset combination of the dimension value and the index, and storing event data corresponding to the dimension value and the index.
According to the embodiment of the disclosure, the query index is obtained by splicing the identifiers corresponding to the dimension value and the index.
For example, the preset combination of the dimension value and the index "payment completed" includes: payment completion-shanghai-x brand-high waybill, payment completion-shanghai-y brand-high waybill, payment completion-shanghai-x brand-low waybill, payment completion-beijing-y brand-high waybill, payment completion-beijing-x brand-low waybill.
According to an embodiment of the present disclosure, the dimension value and the index are assigned respective identifiers, for example, identifier of shanghai is 1, identifier of beijing is 2, identifier of x brand is 3, identifier of y brand is 4, identifier of high customer order is 5, identifier of low customer order is 6, identifier of index "payment completed" is 7, and then the query index is obtained: 7135. 7145, 7146, 7235, 7245, 7236, respectively, corresponding to a preset combination of dimensional values and the index "payment completed": payment completion-shanghai-x brand-high waybill, payment completion-shanghai-y brand-high waybill, payment completion-shanghai-x brand-low waybill, payment completion-beijing-y brand-high waybill, payment completion-beijing-x brand-low waybill.
The timeline event data is stored according to a query index, for example, the query index "7135" is used for storing timeline event data corresponding to a preset combination of "payment completed-shanghai-x brand-high order", and the query index "7145" is used for storing timeline event data corresponding to a preset combination of "payment completed-shanghai-y brand-high order".
When retrieving timeline events corresponding to preset combinations of the dimension values and the indicators, the timeline events in the table can be directly located through the inverted index.
Stored timeline events may be aggregated by inverted index lookup, for example, the stored record corresponding to key "7135" is event data corresponding to a preset combination of dimensional values and metrics "Payment complete-Shanghai-brand-high order", including, for example, payment amount and payment time.
According to the embodiment of the disclosure, the query index is obtained by splicing identifiers corresponding to the dimension values with the index as a prefix.
For example, if the index "payment completion" is used as a prefix of the dimension values "shanghai" and "x brand", the identifier corresponding to payment completion-shanghai is 8, and the identifier corresponding to payment completion-x brand is 9, the query index "89" is used to store the timeline event corresponding to the preset combination "payment completion-shanghai-x brand". In this way, quick query of target data can be realized. Specifically, if a city is used as a dimension for query, taking the sea as an example, a mobile merchant probably has X ten thousand homes every day, if each state node corresponds to one index, the number of the timelines is about the number of mobile merchants (X ten thousand) × guest type (3) × state nodes (23), nearly ten million timelines need to be queried once, so many records are queried in batch and then calculated, and the requirements on a memory and a processor are extremely high. By adding index prefixes to the dimension values, only 1/23 are left in the timeline events found in the reverse index search, and the data can be searched quickly.
After acquiring a timeline event corresponding to a preset combination, statistics corresponding to the preset combination may be calculated. For example, corresponding statistical data may be calculated for each preset combination of the dimension value and the index. According to the embodiment of the present disclosure, the statistical data is, for example, the number of orders or waybills within the preset time window, and may also be other statistical data, such as the ratio of normal orders or waybills to the number of orders with abnormality within the preset time window, or the accumulated number of normal orders or waybills and orders with abnormality, and the like.
For example, as shown in FIG. 3, assume that the predetermined combination includes Payment complete-Shanghai-x Brand-high Bill, Payment complete-Shanghai-y Brand-high Bill, Payment complete-Shanghai-x Brand-low Bill, Payment complete-Beijing-x Brand-high Bill, Payment complete-Beijing-y Brand-high Bill, Payment complete-Beijing-x Brand-low Bill, order complete-Shanghai-x Brand-high Bill, order complete-Shanghai-y Brand-high Bill, order complete-Shanghai-x Brand-low Bill, order complete-Beijing-x Brand-high Bill, order complete-Beijing-y Brand-high Bill, Order finalization-beijing-x brand-low order, statistics of the preset combinations within a preset time window (e.g., 1 minute in length of the time window) may be calculated for each preset combination, such as the number of orders within the preset time window.
After calculating the statistical data of the preset combination in the preset time window, the statistical data can be saved. After receiving the query request, determining a specified combination of the dimension value and the index according to the query request, and determining statistical data corresponding to the specified combination by using the statistical data corresponding to the preset combination according to the specified combination of the dimension value and the index.
According to an embodiment of the present disclosure, the determining, according to the specified combination of the dimension value and the index, the statistical data corresponding to the specified combination using the statistical data corresponding to the preset combination includes:
determining one or more preset combinations corresponding to the specified combinations;
and determining statistical data corresponding to the specified combination according to the statistical data corresponding to the one or more preset combinations.
For example, if the specified combination of the dimension value and the index includes "payment completed-shanghai", the plurality of preset combinations corresponding to the specified combination are payment completed-shanghai-x brand-high order, payment completed-shanghai-y brand-high order, payment completed-shanghai-x brand-low order, and the statistical data of the specified combination "payment completed-shanghai" can be obtained based on the statistical data corresponding to the plurality of preset combinations. For example, assuming that the statistical data is the number of orders in a specified time period, the statistical data of the specified combination may be obtained by adding the number of orders in the specified time period corresponding to the plurality of preset combinations.
By pre-calculating and storing the statistical data corresponding to the plurality of preset combinations, the stored statistical data can be quickly utilized to obtain the query result when the query request is received, and the query real-time performance is effectively improved.
According to an embodiment of the present disclosure, the transaction performance data statistics method further includes:
after acquiring event data of a plurality of state nodes in a transaction performance process, acquiring associated data of the event data, wherein the associated data describes detail information related to the event;
and determining the statistical data of the associated data of the event corresponding to the specified combination according to the specified combination of the dimension value and the index.
For example, the associated data of the event data may include the peripheral system or the dimensional table data from fig. 2, the associated data obtained by data reverse-checking, for example, the associated data of the event "user cancels the order" may include the reason why the user cancels the order, the associated data of the event "delivery failure" may include the reason why the delivery failed, the associated data of the event "merchant accepts" may include the merchant location, and so on.
Then, according to a specified combination of the dimension value and the index, statistical data of associated data of the event corresponding to the specified combination can be determined. For example, for the designated combination "order cancel-shanghai", statistics may be performed according to the associated data corresponding to the designated combination "order cancel-shanghai", and the proportion and specific reason of user cancel, merchant cancel, system cancel, and customer service cancel may be determined.
According to an embodiment of the present disclosure, the statistical data amount of the event data is small, but may be frequently queried and updated, and thus may be stored in a real-time database. On the other hand, the data volume of the associated data is large, but the updating frequency can be lower than the statistical data of the event data, so that the data can be stored in a database such as OLAP (on-line analytical processing) which supports fast query of massive data but has slightly poor high-frequency updating performance.
According to the embodiment of the disclosure, in addition to acquiring the statistical data of the event data so as to track the system operation state in real time, the system operation details corresponding to the current statistical data can be displayed through the associated data, so that the factors causing the system operation abnormity can be more accurately positioned.
The embodiment of the disclosure also provides a transaction performance data display method, which includes:
displaying a plurality of dimensions and indexes related to the transaction performance process;
displaying statistical data corresponding to a combination of the dimension value and the index according to a dimension value input by a user,
wherein the statistical data is obtained by counting event data of a plurality of state nodes in the transaction performance process.
According to an embodiment of the disclosure, the transaction fulfillment data presentation method further comprises:
and displaying the statistical data of the associated data of the event corresponding to the combination of the dimension value and the index according to the dimension value input by the user.
A transaction fulfillment data presentation method according to an embodiment of the present disclosure is described below with reference to fig. 4.
FIG. 4 illustrates a transaction fulfillment data presentation interface diagram, according to an embodiment of the disclosure.
As shown in fig. 4, the transaction performance data display interface may display a plurality of drop-down boxes corresponding to a plurality of dimensions, and when a user clicks a drop-down button, corresponding dimension values may be respectively displayed. For example, when a pull-down button of dimension "city" is clicked, beijing, shanghai, etc. can be displayed, when a pull-down button of dimension "shop type" is clicked, large retail shop "," regional shop "," large brand shop ", etc. can be displayed, when a pull-down button of dimension" guest unit price "is clicked, high guest unit price", "low guest unit price", etc. can be displayed, when a pull-down button of dimension "brand name" is clicked, large safflower "," small green leaf ", etc. can be displayed, when a pull-down button of dimension" restaurant name "is clicked, specific restaurant names, such as" large safflower article shop "," small green leaf stable shop ", etc. can be displayed. The user may enter the desired dimension value by selecting in a drop down menu.
The transaction fulfillment data display interface may also display a plurality of indicators, such as one or more of payment completion, merchant pending order taking, merchant order taking, wind cancel, order invalidation, order completion, merchant self-delivery, distributor order taking, knight to store, knight meal taking, knight delivery, delivery failure, delivery success.
The user may use these default indicators, may enter the desired indicators themselves, or may delete indicators or add new indicators from these default indicators, etc.
Then, according to the dimension value input by the user, statistical data corresponding to the combination of the dimension value and the index is displayed, and the statistical data is obtained by counting the event data of a plurality of state nodes in the transaction performance process by using the method described above.
For example, the user may input a statistical time period, such as 2021-4-0717: 45-2021-4-0717: 46 shown in the figure, and the interface may show statistical data related to the user-input dimension value for the time period of each index. Assuming that the dimension value input by the user is Shanghai-brand business-high order, the interface may show the statistical values of each index, such as order quantity, of the high-order unit price orders of the Shanghai brand business in the time period of 2021-4-0717: 45-2021-4-0717: 46. The interface can also show the processing delay condition of the state node corresponding to each index, such as the average delay time. For example, in this example, for the "order close" indicator, the average delay time of the order close time of the high-customer unit price orders of the large-brand merchants in Shanghai in the time period of 2021-4-0717: 45 to 2021-4-0717: 46 compared with the expected close time can be shown. Summary statistics calculated from the index statistics, such as total order amount, order cancellation amount, cancellation rate, etc., may also be displayed on the interface.
According to an embodiment of the present disclosure, the transaction performance data display interface may further display statistical data of associated data of events corresponding to a specified combination of the dimension value and the index input by the user, for example, for an order cancellation event, a cancellation role duty, a user cancellation reason, a merchant cancellation reason, a system cancellation reason, and the like may be displayed.
According to an embodiment of the disclosure, data displayed on the transaction performance data display interface may be automatically refreshed, for example, obtaining real-time statistical data and updating corresponding content on the interface at a frequency consistent with a calculation time window of the statistical data.
According to the embodiment of the disclosure, the statistical data of each transaction performance node can be displayed in an intuitive and efficient manner, and the operation and maintenance personnel of the e-commerce can be helped to master the operation condition of each state node in the transaction performance overall link in time, so that abnormal events influencing performance in the e-commerce system can be processed in time, and the stable and efficient operation of the e-commerce system is realized.
Fig. 5A illustrates a block diagram of a transaction performance data statistics apparatus, according to an embodiment of the present disclosure. The apparatus may be implemented as part or all of an electronic device through software, hardware, or a combination of both.
As shown in fig. 5A, the transaction performance statistics apparatus 510 includes a first obtaining module 511, a calculating module 512, a first determining module 513, and a second determining module 514.
The first obtaining module 511 is configured to obtain event data of a plurality of state nodes in the transaction fulfillment process;
the calculation module 512 is configured to assemble the event data according to a preset combination of the dimension value and the index, and calculate statistical data corresponding to the preset combination according to the assembled event data;
the first determination module 513 is configured to determine a specified combination of the dimension value and the metric from the query request;
the second determination module 514 is configured to determine statistical data corresponding to the specified combination of the dimension value and the index using statistical data corresponding to the preset combination according to the specified combination.
According to an embodiment of the present disclosure, assembling the event data according to a preset combination of the dimension value and the index includes:
and generating a query index based on a preset combination of the dimension values in a table corresponding to the indexes, and storing event data corresponding to the dimension values and the indexes.
According to an embodiment of the present disclosure, assembling the event data according to a preset combination of the dimension value and the index includes:
and generating a query index based on the preset combination of the dimension value and the index, and storing event data corresponding to the dimension value and the index.
According to an embodiment of the present disclosure, the determining, according to the specified combination of the dimension value and the index, the statistical data corresponding to the specified combination using the statistical data corresponding to the preset combination includes:
determining one or more preset combinations corresponding to the specified combinations;
and determining statistical data corresponding to the specified combination according to the statistical data corresponding to the one or more preset combinations.
According to an embodiment of the present disclosure, the apparatus 510 further comprises:
a second obtaining module 515, configured to, after obtaining event data of a plurality of state nodes in the transaction performing process, obtain associated data of the event data, where the associated data describes detail information related to the event;
a third determining module 516 configured to determine statistical data of associated data of the event corresponding to the specified combination according to the specified combination of the dimension value and the index.
Fig. 5B illustrates a block diagram of a transaction fulfillment data presentation device, according to an embodiment of the present disclosure. The apparatus may be implemented as part or all of an electronic device through software, hardware, or a combination of both.
As shown in fig. 5B, the transaction performance display device 520 includes a first display module 521 and a second display module 522.
The first presentation module 521 is configured to present a plurality of dimensions and indicators related to the transaction fulfillment process;
the second presentation module 522 is configured to present statistical data corresponding to a combination of the dimension value and the index according to the dimension value input by the user,
wherein the statistical data is obtained by counting event data of a plurality of state nodes in the transaction performance process.
According to an embodiment of the present disclosure, the apparatus 520 further comprises:
a third presentation module 523 configured to present statistical data of the associated data of the event corresponding to the combination of the dimension value and the index according to the dimension value input by the user.
The present disclosure also discloses an electronic device, and fig. 6 shows a block diagram of the electronic device according to an embodiment of the present disclosure.
As shown in fig. 6, the electronic device 600 includes a memory 601 and a processor 602, wherein the memory 601 is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor 602 to implement a method according to an embodiment of the disclosure.
The embodiment of the disclosure provides a transaction performance data statistical method, which comprises the following steps:
acquiring event data of a plurality of state nodes in a transaction performance process;
assembling the event data according to a preset combination of the dimension value and the index, and calculating statistical data corresponding to the preset combination according to the assembled event data;
determining a specified combination of the dimension value and the index according to the query request;
and according to the specified combination of the dimension value and the index, using the statistical data corresponding to the preset combination to determine the statistical data corresponding to the specified combination.
According to an embodiment of the present disclosure, assembling the event data according to a preset combination of the dimension value and the index includes:
and generating a query index based on a preset combination of the dimension values in a table corresponding to the indexes, and storing event data corresponding to the dimension values and the indexes.
According to an embodiment of the present disclosure, assembling the event data according to a preset combination of the dimension value and the index includes:
and generating a query index based on the preset combination of the dimension value and the index, and storing event data corresponding to the dimension value and the index.
According to an embodiment of the present disclosure, the determining, according to the specified combination of the dimension value and the index, the statistical data corresponding to the specified combination using the statistical data corresponding to the preset combination includes:
determining one or more preset combinations corresponding to the specified combinations;
and determining statistical data corresponding to the specified combination according to the statistical data corresponding to the one or more preset combinations.
According to an embodiment of the present disclosure, the transaction performance data statistics method further includes:
after acquiring event data of a plurality of state nodes in a transaction performance process, acquiring associated data of the event data, wherein the associated data describes detail information related to the event;
and determining the statistical data of the associated data of the event corresponding to the specified combination according to the specified combination of the dimension value and the index.
The embodiment of the disclosure also provides a transaction performance data display method, which includes:
displaying a plurality of dimensions and indexes related to the transaction performance process;
displaying statistical data corresponding to a combination of the dimension value and the index according to a dimension value input by a user,
wherein the statistical data is obtained by counting event data of a plurality of state nodes in the transaction performance process.
According to an embodiment of the present disclosure, the transaction fulfillment data presentation method further includes:
and displaying the statistical data of the associated data of the event corresponding to the combination of the dimension value and the index according to the dimension value input by the user.
FIG. 7 shows a schematic block diagram of a computer system suitable for use in implementing a method according to an embodiment of the present disclosure.
As shown in fig. 7, the computer system 700 includes a processing unit 701 that can execute various processes in the above-described embodiments according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The processing unit 701, the ROM 702, and the RAM 703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary. The processing unit 701 may be implemented as a CPU, a GPU, a TPU, an FPGA, an NPU, or other processing units.
In particular, the above described methods may be implemented as computer software programs according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising computer instructions that, when executed by a processor, implement the method steps described above. In such an embodiment, the computer program product may be downloaded and installed from a network via the communication section 709, and/or installed from the removable medium 711.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present disclosure may be implemented by software or by programmable hardware. The units or modules described may also be provided in a processor, and the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.
As another aspect, the present disclosure also provides a computer-readable storage medium, which may be a computer-readable storage medium included in the electronic device or the computer system in the above embodiments; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the present disclosure.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the inventive concept. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Claims (17)
1. A transaction performance data statistics method, comprising:
acquiring event data of a plurality of state nodes in a transaction performance process;
assembling the event data according to a preset combination of the dimension value and the index, and calculating statistical data corresponding to the preset combination according to the assembled event data;
determining a specified combination of the dimension value and the index according to the query request;
and according to the specified combination of the dimension value and the index, using the statistical data corresponding to the preset combination to determine the statistical data corresponding to the specified combination.
2. The method of claim 1, wherein said assembling said event data according to a preset combination of dimensional values and metrics comprises:
and generating a query index based on a preset combination of the dimension values in a table corresponding to the indexes, and storing event data corresponding to the dimension values and the indexes.
3. The method of claim 1, wherein said assembling said event data according to a preset combination of dimensional values and metrics comprises:
and generating a query index based on the preset combination of the dimension value and the index, and storing event data corresponding to the dimension value and the index.
4. The method of claim 1, wherein the determining, from a specified combination of the dimension value and an index, statistical data corresponding to the specified combination using statistical data corresponding to the preset combination comprises:
determining one or more preset combinations corresponding to the specified combinations;
and determining statistical data corresponding to the specified combination according to the statistical data corresponding to the one or more preset combinations.
5. The method of claim 1, further comprising:
after acquiring event data of a plurality of state nodes in a transaction performance process, acquiring associated data of the event data, wherein the associated data describes detail information related to the event;
and determining the statistical data of the associated data of the event corresponding to the specified combination according to the specified combination of the dimension value and the index.
6. A transaction fulfillment data display method, comprising:
displaying a plurality of dimensions and indexes related to the transaction performance process;
displaying statistical data corresponding to a combination of the dimension value and the index according to a dimension value input by a user,
wherein the statistical data is obtained by counting event data of a plurality of state nodes in the transaction performance process.
7. The method of claim 6, further comprising:
and displaying the statistical data of the associated data of the event corresponding to the combination of the dimension value and the index according to the dimension value input by the user.
8. A transaction fulfillment data statistics apparatus, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire event data of a plurality of state nodes in a transaction performance process;
a calculation module configured to assemble the event data according to a preset combination of the dimensional value and the index, and calculate statistical data corresponding to the preset combination according to the assembled event data;
a first determination module configured to determine a specified combination of the dimension value and the index from the query request;
a second determination module configured to determine statistical data corresponding to a specified combination of the dimension value and an index using statistical data corresponding to the preset combination.
9. The apparatus of claim 8, wherein said assembling the event data according to a preset combination of dimensional values and metrics comprises:
and generating a query index based on a preset combination of the dimension values in a table corresponding to the indexes, and storing event data corresponding to the dimension values and the indexes.
10. The apparatus of claim 8, wherein said assembling the event data according to a preset combination of dimensional values and metrics comprises:
and generating a query index based on the preset combination of the dimension value and the index, and storing event data corresponding to the dimension value and the index.
11. The apparatus of claim 8, wherein the determining, from a specified combination of the dimension value and an index, statistical data corresponding to the specified combination using statistical data corresponding to the preset combination comprises:
determining one or more preset combinations corresponding to the specified combinations;
and determining statistical data corresponding to the specified combination according to the statistical data corresponding to the one or more preset combinations.
12. The apparatus of claim 8, further comprising:
the second acquisition module is configured to acquire associated data of event data after acquiring the event data of a plurality of state nodes in the transaction fulfillment process, wherein the associated data describes detail information related to the event;
a third determination module configured to determine statistical data of associated data of events corresponding to a specified combination of the dimension value and the index according to the specified combination.
13. A transaction fulfillment data display device, comprising:
a first presentation module configured to present a plurality of dimensions and indicators related to a transaction fulfillment process;
a second presentation module configured to present statistical data corresponding to a combination of the dimension value and the index according to a dimension value input by a user,
wherein the statistical data is obtained by counting event data of a plurality of state nodes in the transaction performance process.
14. The apparatus of claim 13, further comprising:
and the third display module is configured to display the statistical data of the associated data of the event corresponding to the combination of the dimension value and the index according to the dimension value input by the user.
15. An electronic device comprising a memory and a processor; wherein the memory is to store one or more computer instructions, wherein the one or more computer instructions are to be executed by the processor to implement the method steps of any one of claims 1-7.
16. A readable storage medium having stored thereon computer instructions which, when executed by a processor, carry out the method steps of any of claims 1-7.
17. A computer program product comprising computer instructions which, when executed by a processor, carry out the method steps of any of claims 1 to 7.
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| CN106933893A (en) * | 2015-12-31 | 2017-07-07 | 北京国双科技有限公司 | The querying method and device of multi-dimensional data |
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| CN106933893A (en) * | 2015-12-31 | 2017-07-07 | 北京国双科技有限公司 | The querying method and device of multi-dimensional data |
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