CN117873359A - Data processing method and system - Google Patents
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Abstract
The invention provides a data processing method and a data processing system, wherein the data processing system comprises a data acquisition module, the data acquisition module comprises at least one acquisition plug-in, each acquisition plug-in comprises an acquisition rule, and the data processing system can display at least one plug-in option under the condition of receiving an input data acquisition instruction, and one plug-in option corresponds to one acquisition plug-in. And under the condition that the selected operation of the target plugin option in the at least one plugin option is received, acquiring the target data based on the acquisition rule included in the acquisition plugin corresponding to the target plugin option. The invention is suitable for collecting various types of data, and when the type of the collected data is increased or changed, the corresponding collecting plug-in unit is only required to be increased or changed, so that the collection of the data of the corresponding type can be completed, and the problem that the data cannot be collected because the type of the data to be collected cannot be identified can be avoided.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and system.
Background
The data comprises a plurality of types, and a file transmission protocol corresponding to the type of the data to be acquired is established between the acquired equipment and the acquired equipment in the data acquisition process. The collection device may collect the corresponding type of data from the collected device via a file transfer protocol established with the collected device.
However, since the data includes a plurality of types, the file transfer protocol may also include a plurality of types. In the process of data acquisition, if the type of the data to be acquired cannot be identified, the data cannot be acquired by the acquisition equipment by selecting a corresponding file transmission protocol.
Disclosure of Invention
The invention aims to solve the technical problem of providing a data processing method and a data processing system, which can avoid the problem that data cannot be acquired because the type of the data to be acquired cannot be identified.
The technical scheme for solving the technical problems is as follows:
in one aspect, the present invention provides a data processing method applied to a data processing system, where the data processing system includes a data acquisition module, where the data acquisition module includes at least one acquisition plug-in, and each of the acquisition plug-ins includes an acquisition rule. The method comprises the following steps: receiving an input data acquisition instruction; the data acquisition instruction is used for indicating acquisition of target data. Displaying at least one plug-in option in response to the data acquisition instruction; one of the plug-in options corresponds to one of the acquisition plug-ins. Under the condition that a selection operation of a target plugin option in the at least one plugin option is received, responding to the selection operation of the target plugin option, and acquiring the target data based on acquisition rules included by a target acquisition plugin; the target acquisition plug-in is an acquisition plug-in corresponding to the target plug-in option.
The beneficial effects of the invention are as follows: the method is suitable for collecting various types of data, and when the types of the collected data are increased or changed, the corresponding collecting plug-in units are only required to be increased or changed, so that the collection of the data of the corresponding types can be completed, and the problem that the data cannot be collected because the type of the data to be collected cannot be identified can be avoided.
On the basis of the technical scheme, the invention can be improved as follows.
Further, the collection rules included in different collection plug-ins are different; and the acquisition plugins corresponding to different plugin options are different.
The beneficial effects of adopting the further scheme are as follows: a plurality of acquisition rules for data acquisition are provided and presented to the user in a visual form for self-selection. The user may select the appropriate collection rules to collect the data.
Further, in response to a selection operation of the target plug-in option, loading the target acquisition plug-in a hot loading manner to acquire an acquisition rule included in the target acquisition plug-in; and acquiring the target data based on the acquisition rules included in the target acquisition plug-in.
The beneficial effects of adopting the further scheme are as follows: specific implementations of invoking a target acquisition plug-in are provided.
Further, the target data includes at least one sub-data defining a tag of the target data; and recording the acquired sub-data defined with the label into an index file. And under the condition that the acquisition is abnormal, acquiring the sub-data which is not acquired and defined with the label based on the index file.
The beneficial effects of adopting the further scheme are as follows: and after the acquisition operation is abnormal, the data is continuously acquired from the abnormal point, and the acquired data is not required to be repeatedly acquired.
Further, at least one processing option is displayed, one of the processing options corresponding to each processing rule. And under the condition that the selected operation of the target processing option in the at least one processing option is received, responding to the selected operation of the target processing option, and processing the acquired target data based on the processing rule corresponding to the target processing option.
The beneficial effects of adopting the further scheme are as follows: a plurality of processing rules for data processing are provided and presented to the user in a visual form for self-selection. The user may select an appropriate processing rule to process the acquired data.
Further, the processing rules corresponding to different processing options are different; the processing rules are determined based on at least one of field conversion, data cleansing, data nulling, and data filtering.
The beneficial effects of adopting the further scheme are as follows: specific content of the processing rules is provided.
Further, at least one inspection option is displayed, one of the inspection options corresponding to one inspection rule. And under the condition that the selected operation of the target inspection option in the at least one inspection option is received, responding to the selected operation of the target inspection option, and inspecting the collected target data based on the inspection rule corresponding to the target inspection option.
The beneficial effects of adopting the further scheme are as follows: a variety of inspection rules for conducting data inspection are provided and presented to the user in a visual form for self-selection. The user may select an appropriate inspection rule to inspect the processed data.
Further, the inspection rules corresponding to different inspection options are different. The inspection rule is determined based on at least one of a null value inspection, a non-null value inspection, an enumeration inspection, a regular match inspection.
The beneficial effects of adopting the further scheme are as follows: specific content of the inspection rule is provided.
Further, if the target data does not accord with the inspection rule corresponding to the target inspection option, filtering the target data, and recording the target data into an inspection log.
In another aspect, the present invention provides a data processing system comprising:
the data acquisition module comprises at least one acquisition plug-in, and each acquisition plug-in comprises an acquisition rule; the data acquisition module is used for responding to the data acquisition instruction under the condition of receiving the input data acquisition instruction, and displaying at least one plug-in option; and under the condition that the selection operation of the target plugin option in the at least one plugin option is received, responding to the selection operation of the target plugin option, and acquiring the target data based on acquisition rules included by a target acquisition plugin; the data acquisition instruction is used for indicating acquisition of target data; one of the plug-in options corresponds to one of the acquisition plug-ins; the target acquisition plug-in is an acquisition plug-in corresponding to the target plug-in option. The data processing module is used for displaying at least one processing option, and one processing option corresponds to one processing rule; and under the condition that the selected operation of the target processing option in the at least one processing option is received, responding to the selected operation of the target processing option, and processing the acquired target data based on the processing rule corresponding to the target processing option. And a data quality analysis module: for displaying at least one inspection option, one of said inspection options corresponding to one inspection rule; and under the condition that the selected operation of the target inspection option in the at least one inspection option is received, responding to the selected operation of the target inspection option, and inspecting the collected target data based on the inspection rule corresponding to the target inspection option.
The beneficial effects of the invention are as follows: the method is suitable for collecting various types of data, and when the types of the collected data are increased or changed, the corresponding collecting plug-in units are only required to be increased or changed, so that the collection of the data of the corresponding types can be completed, and the problem that the data cannot be collected because the type of the data to be collected cannot be identified can be avoided.
Drawings
FIG. 1 is a schematic diagram of a data processing system according to the present invention;
fig. 2 is a schematic structural diagram of an acquisition module according to the present invention;
FIG. 3 is a schematic flow chart of a data processing method according to the present invention;
FIG. 4 is a schematic diagram of a first interactive interface provided by the present invention;
FIG. 5 is a schematic diagram of a second interactive interface provided by the present invention;
fig. 6 is a schematic diagram of a third interactive interface provided by the present invention.
Detailed Description
The principles and features of the present invention are described below with examples given for the purpose of illustration only and are not intended to limit the scope of the invention.
The data processing method provided by the invention can be applied to a data processing system shown in fig. 1, wherein the data processing system comprises an acquisition module. The acquisition module comprises at least one interface and acquisition plug-ins which are arranged on the interfaces in a pluggable manner. The acquisition rules included in different acquisition plug-ins may be different.
For example, referring to fig. 2, the acquisition module 200 includes an interface 211, an interface 212, an interface 213, and an interface 214. Each interface may be connected to one of the acquisition plug-ins, e.g., acquisition plug-in 221 may be plugged into interface 211 to connect with interface 211. For another example, the acquisition plug-in 222 may be plugged into the interface 212 to connect with the interface 212.
The collecting plug-in is arranged on the corresponding interface in a pluggable manner, so that the collecting plug-in can be expanded in the collecting module at any time, or the existing collecting plug-in can be replaced to increase or change the collecting rule.
In some embodiments, each acquisition plug-in includes an acquisition rule, and the acquisition module may acquire the target data based on the acquisition rule included in the acquisition plug-in.
Referring to fig. 3, the data processing method provided by the present invention may include the following steps S301 to S303
S301: and receiving an input data acquisition instruction.
The data acquisition instruction is used for indicating acquisition of target data. The target data may be data stored in a corresponding database, may be data transmitted in an API interface, or may be data in a certain file, which is not limited in the embodiment of the present application.
S302: at least one plug-in option is displayed in response to the data acquisition instruction.
Wherein one plug-in option corresponds to one acquisition plug-in. The acquisition plugins corresponding to different plugin options are different.
In some embodiments, the add-in option may be a button control, an icon control, or a link control, and embodiments of the present application are not limited.
Illustratively, referring to FIG. 4, a first interactive interface is provided that includes at least one plug-in option. The first interactive interface 400 includes a plug-in option 411, a plug-in option 412, a plug-in option 413, and a plug-in option 414. The user can click on any plug-in option to select the corresponding plug-in option.
That is, the present invention can provide a variety of acquisition rules for data acquisition and present to the user in a visual form for self-selection. The user may select the appropriate collection rules to collect the data.
S303: and under the condition that the selected operation of the target plugin option is received, responding to the selected operation of the target plugin option, and acquiring the target data based on the acquisition rule included by the target acquisition plugin.
The target plug-in option is the plug-in option selected by the user. The target acquisition plug-in is an acquisition plug-in corresponding to the target plug-in option.
In some embodiments, after the user performs the selecting operation on the target plugin option, in response to the selecting operation on the target plugin option, the target acquisition plugin may be loaded in a multithreaded real-time thermal loading manner to obtain an acquisition rule included in the target acquisition plugin. Thereafter, the target data may be collected based on the collection rules included in the target collection plug-in.
In some embodiments, the target data includes at least one sub-data, a tag of the target data may be defined during the process of collecting the target data, and the collected sub-data with the defined tag may be recorded in the index file. And under the condition that the acquisition is abnormal, acquiring the sub-data which is not acquired and defined with the label based on the index file. And after the acquisition operation is abnormal, the data is continuously acquired from the abnormal point, and the acquired data is not required to be repeatedly acquired. Namely, the invention supports fault tolerant mechanisms such as breakpoint continuous transmission and the like in the data acquisition process.
For example, if the target data to be collected is a json file, a tag for the json file may be defined. After the target acquisition plug-in is determined, the acquisition of the file field can be realized after the field name to be acquired is defined, and meanwhile, for the acquisition task, an index file for storing the abnormal point of the acquisition task can be maintained, so that the data can be continuously acquired from the original abnormal point after the acquisition operation is in error.
In some embodiments, the abnormal condition of the collection is a condition that can cause interruption of the collection.
In some embodiments, after the target data is acquired, the target data may also be processed and inspected to ensure availability of the target data. The method of processing and checking the target data will be described in detail below.
In some embodiments, after the target data is collected, at least one processing option may be displayed, one processing option corresponding to each processing rule. And under the condition that the selected operation of the target processing option in the at least one processing option is received, responding to the selected operation of the target processing option, and processing the acquired target data based on the processing rule corresponding to the target processing option.
Illustratively, referring to FIG. 5, a second interactive interface is provided that includes at least one processing option. The second interactive interface 500 includes a processing option 511, a processing option 512, a processing option 513, and a processing option 514. The user may click on any of the processing options to select the corresponding processing option. The processing option selected by the user is the target processing option, and the collected target data can be processed based on the processing rule corresponding to the target processing option.
That is, the present invention provides a variety of processing rules for data processing and presents the user with a visual form of self-selection. The user may select an appropriate processing rule to process the acquired data.
In some embodiments, the processing rules corresponding to different processing options are different; the processing rules are determined based on at least one of field conversion, data cleansing, data nulling, and data filtering. The invention is not limited to the specific content of the processing rules.
In some embodiments, the processing rules may directly select the corresponding operation buttons (processing options in the embodiments of the present application) through the interface based on the structured query language (Structured query language, abbreviated as SQL) standard. For example, after the original field data information corresponding to the target data is obtained, whether the original field data information is a query field or a condition field may be marked, and if the original field data information is the condition field, a specific condition value needs to be input for filtering. If the packet processing is required after the filtering, the packet processing is required to be performed by adding a packet mark after the corresponding original field, and the packet screening condition is selected. And screening the grouped data, and if the data is the query field, optionally performing other operations such as field segmentation, field splicing, field mapping and the like. The operations can be assembled and executed in an SQL (structured query language) form, and can be directly processed in an SQL statement form for complex processing, or can be defined by using a custom jar packet and registered on a platform for direct application in a data processing process. The sentence obtained by assembling in the form of SQL can form the processing rule in the embodiment of the application.
In some embodiments, after processing the target data, at least one inspection option may also be displayed, one inspection option corresponding to one inspection rule. And under the condition that the selected operation of the target inspection option in the at least one inspection option is received, responding to the selected operation of the target inspection option, and inspecting the collected target data based on the inspection rule corresponding to the target inspection option.
Exemplary, see fig. 6, for a third interactive interface comprising at least one inspection option. The third interactive interface 600 includes a check option 611, a check option 612, a check option 613, and a check option 614. The user may click on any one of the inspection options to select the corresponding inspection option. The checking option selected by the user is the target checking option, and the collected target data can be checked based on the checking rule corresponding to the target checking option.
That is, the present invention provides a variety of inspection rules for performing data inspection and presents the user with a self-selection in a visual form. The user may select an appropriate inspection rule to inspect the processed data.
In some embodiments, the inspection rules corresponding to different inspection options are different. The inspection rules are determined based on at least one of a null value inspection, a non-null value inspection, an enumeration inspection, a regular match inspection. The invention is not limited to the specific content of the inspection rules.
For example, checking the target data based on the checking rule corresponding to the target checking option may include: determining the content of the inspection rule corresponding to the target inspection option, if the content of the inspection rule corresponding to the target inspection option is minimum value inspection, and the expected value type is selected as a range value, selecting a corresponding comparer, setting the expected range value, then confirming the subtask, carrying out the definition selection of the next detection subtask of the field, setting different Metric rule types for the same field, setting different detection subtasks of multiple types, finally submitting the detection result values of the detection field after executing the task, and determining whether the target data accords with the corresponding inspection rule or not based on the obtained detection result values.
In some embodiments, if the target data meets the inspection rule corresponding to the target inspection option, the subsequent acquisition task may continue to be performed.
In some embodiments, if the target data does not meet the inspection rule corresponding to the target inspection option, filtering the target data which does not meet the inspection rule, and recording the target data which does not meet the inspection rule into an inspection log, so as to store and retain the target data which does not meet the inspection rule, and waiting for subsequent processing.
The invention also provides a data processing system, and continuing to refer to fig. 1, the system comprises a data acquisition module, a data processing module and a data quality analysis module.
The data acquisition module comprises at least one acquisition plug-in, and each acquisition plug-in comprises an acquisition rule.
The data acquisition module is used for responding to the data acquisition instruction, displaying at least one plug-in option under the condition of receiving the input data acquisition instruction, and acquiring target data based on acquisition rules included by the target acquisition plug-in response to the selected operation of the target plug-in option under the condition of receiving the selected operation of the target plug-in option in the at least one plug-in option.
The data acquisition instruction is used for indicating acquisition of target data. One plug-in option corresponds to one acquisition plug-in. The target acquisition plug-in is an acquisition plug-in corresponding to the target plug-in option.
The data processing module is used for displaying at least one processing option, and one processing option corresponds to one processing rule. And under the condition that the selected operation of the target processing option in the at least one processing option is received, responding to the selected operation of the target processing option, and processing the acquired target data based on the processing rule corresponding to the target processing option.
The data quality analysis module is used for displaying at least one checking option, wherein one checking option corresponds to one checking rule. And under the condition that the selected operation of the target inspection option in the at least one inspection option is received, responding to the selected operation of the target inspection option, and inspecting the collected target data based on the inspection rule corresponding to the target inspection option.
The system provided by the invention can realize the purpose of increasing or changing the acquisition of the corresponding type of data by increasing or changing the corresponding acquisition plug-in. The method can avoid the problem that the data cannot be acquired because the type of the data to be acquired cannot be identified. And after the data acquisition is completed, the system provided by the invention can process and check the data so as to ensure the usability of the data.
In the description of the present invention, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (10)
1. A data processing method, characterized in that it is applied to a data processing system, said data processing system comprising a data acquisition module, said data acquisition module comprising at least one acquisition plug-in, each of said acquisition plug-ins comprising an acquisition rule; the method comprises the following steps:
receiving an input data acquisition instruction; the data acquisition instruction is used for indicating acquisition of target data;
displaying at least one plug-in option in response to the data acquisition instruction; one of the plug-in options corresponds to one of the acquisition plug-ins;
under the condition that a selection operation of a target plugin option in the at least one plugin option is received, responding to the selection operation of the target plugin option, and acquiring the target data based on acquisition rules included by a target acquisition plugin; the target acquisition plug-in is an acquisition plug-in corresponding to the target plug-in option.
2. The method of claim 1, wherein the acquisition rules included in different of the acquisition plugins are different; and the acquisition plugins corresponding to different plugin options are different.
3. The method of claim 2, wherein the collecting the target data based on the collection rules included by the target collection plug-in response to the selecting the target plug-in option comprises:
loading the target acquisition plug-in a hot loading mode in response to the selection operation of the target plug-in option so as to acquire acquisition rules included in the target acquisition plug-in;
and acquiring the target data based on the acquisition rules included in the target acquisition plug-in.
4. The method of claim 3, wherein the target data comprises at least one sub-data, the target data being collected based on collection rules included by a target collection plug-in response to a selected operation of the target plug-in option, further comprising:
defining a tag of the target data;
recording the acquired sub-data defined with the label into an index file;
and under the condition that the acquisition is abnormal, acquiring the sub-data which is not acquired and defined with the label based on the index file.
5. The method of claim 1, wherein in response to the selecting the target plug-in option, after collecting the target data based on a collection rule included in a target collection plug-in, the method further comprises:
displaying at least one processing option, wherein one processing option corresponds to one processing rule;
and under the condition that the selected operation of the target processing option in the at least one processing option is received, responding to the selected operation of the target processing option, and processing the acquired target data based on the processing rule corresponding to the target processing option.
6. The method of claim 5, wherein the processing rules corresponding to different ones of the processing options are different; the processing rules are determined based on at least one of field conversion, data cleansing, data nulling, and data filtering.
7. The method of claim 6, wherein in response to the selecting the target processing option, after processing the collected target data based on the processing rule corresponding to the target processing option, the method further comprises:
displaying at least one checking option, wherein one checking option corresponds to one checking rule;
and under the condition that the selected operation of the target inspection option in the at least one inspection option is received, responding to the selected operation of the target inspection option, and inspecting the collected target data based on the inspection rule corresponding to the target inspection option.
8. The method of claim 7, wherein the inspection rules corresponding to different ones of the inspection options are different; the inspection rule is determined based on at least one of a null value inspection, a non-null value inspection, an enumeration inspection, a regular match inspection.
9. The method of claim 8, wherein the inspecting the collected target data based on the inspection rule corresponding to the target inspection option in response to the selecting of the target inspection option, further comprises:
and if the target data does not accord with the inspection rule corresponding to the target inspection option, filtering the target data, and recording the target data into an inspection log.
10. A data processing system, comprising:
the data acquisition module comprises at least one acquisition plug-in, and each acquisition plug-in comprises an acquisition rule; the data acquisition module is used for responding to the data acquisition instruction under the condition of receiving the input data acquisition instruction, and displaying at least one plug-in option; and under the condition that the selection operation of the target plugin option in the at least one plugin option is received, responding to the selection operation of the target plugin option, and acquiring the target data based on acquisition rules included by a target acquisition plugin; the data acquisition instruction is used for indicating acquisition of target data; one of the plug-in options corresponds to one of the acquisition plug-ins; the target acquisition plug-in is an acquisition plug-in corresponding to the target plug-in option;
the data processing module is used for displaying at least one processing option, and one processing option corresponds to one processing rule; under the condition that a selection operation of a target processing option in the at least one processing option is received, responding to the selection operation of the target processing option, and processing the acquired target data based on a processing rule corresponding to the target processing option;
and a data quality analysis module: for displaying at least one inspection option, one of said inspection options corresponding to one inspection rule; and under the condition that the selected operation of the target inspection option in the at least one inspection option is received, responding to the selected operation of the target inspection option, and inspecting the collected target data based on the inspection rule corresponding to the target inspection option.
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