CN112597121A - Logic script processing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application relates to the technical field of big data label processing, in particular to a method and a device for processing a logic script, electronic equipment and a storage medium. The processing method comprises the following steps: acquiring a logic script in an HQL control; creating a local parameter file, and transmitting the parameter file into a file system of the HDFS; the parameter file comprises a control variable name and a control variable value; reading the parameter file in the file system of the HDFS based on the path of the parameter file and the name of the control variable, and returning the value of the control variable to the HIVE; and modifying the logic script in the HQL control. According to the method and the device, on the basis of not modifying the program, the data of the existing label can be processed and calculated, the data of the part of the label needing to be modified can also be processed, historical partition data can be traced, convenience and flexibility are achieved, and the development efficiency and the maintenance efficiency can be improved.
Description
Technical Field
The application relates to the technical field of big data label processing, in particular to a method and a device for processing a logic script, electronic equipment and a storage medium.
Background
In the ETL batch development process of common offline data of labels or indexes, after a scheduling task is issued, due to the temporary requirement, data of certain labels or certain time periods are independently calculated, the workflow script content needs to be changed, the scheduling needs to be issued again, and the operation flow is complex.
At present, the data development process of ETL constructed by a plurality of open-source data processing platforms is to construct a process Job similar to a directed acyclic graph according to the existing data control, drag the control, use a directed arrow to connect, edit the content of a script in the control and construct the process Job. And then the flow calculation processing of the data is carried out through a scheduling program. Common tools on the market are DSS, keytle, Azkaban, etc.
After label logic is typically processed using HQL, the developed Job is scheduled by a scheduler to go to timed batch runs according to certain time rules (e.g., daily/weekly/monthly/yearly). For operations such as backtracking of historical partition data and tag updating types, management and control are difficult to conduct conveniently, and only scripts scheduled in a timing mode can be modified for multiple times, so that data can be run in batch in a clearing mode in a data inserting mode. On one hand, the method is not convenient and flexible enough, and on the other hand, the method also occupies cluster resources to a certain extent.
Disclosure of Invention
In view of this, an object of the present application is to provide a method and an apparatus for processing a logic script, which are more convenient and flexible to control the logic script in a parameter transferring manner.
In a first aspect, an embodiment of the present application provides a method for processing a logic script, including the following steps:
acquiring a logic script in an HQL control;
creating a local parameter file, and transmitting the parameter file into a file system of an HDFS (Hadoop distributed File System) to obtain a storage path of the parameter file; the parameter file comprises a control variable name and a control variable value;
reading a control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name, and returning the control variable value to the HIVE;
and modifying the logic script in the HQL control.
Preferably, the HQL control corresponds to at least one workflow of the DSS platform.
Preferably, after the step of creating a local parameter file, and transferring the parameter file into a file system of the HDFS to obtain a storage path of the parameter file, the method further includes the steps of:
and setting path parameters on at least one workflow of the DSS platform, so that each workflow corresponds to one parameter file respectively.
Preferably, after the step of modifying the logic script in the HQL control, the method further includes the steps of:
and releasing the modified logic script to a timing scheduling program, and operating according to a preset time parameter.
Preferably, in the step of reading the control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name, and returning the control variable value to the HIVE, the method further includes:
and customizing and operating a UDF function, and calling a related API (application programming interface) in the file system of the HDFS through the UDF function so as to read the parameter file in the file system of the HDFS.
In a second aspect, an embodiment of the present application provides a processing apparatus for a logic script, including:
the acquisition module is used for acquiring the logic script in the HQL control;
the editing module is used for creating a local parameter file and transmitting the parameter file into a file system of the HDFS to obtain a storage path of the parameter file; the parameter file comprises a control variable name and a control variable value;
the reading module is used for reading a control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name and returning the control variable value to the HIVE;
and the processing module is used for modifying the logic script in the HQL control.
Preferably, the processing device further includes a setting module, configured to set a path parameter on at least one workflow of the DSS platform, so that each workflow corresponds to one of the parameter files.
Preferably, the processing apparatus further includes a timing scheduling module, configured to issue the modified logic script to a timing scheduler, and operate according to a preset time parameter.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a storage medium, and a bus,
the storage medium stores machine-readable instructions executable by the processor, the processor and the storage medium communicate through a bus when the electronic device runs, and the processor executes the machine-readable instructions to execute the steps of the processing method of the logic script.
In a fourth aspect, embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, performs the steps of the processing method of the logic script.
The invention has the beneficial effects that:
the method comprises the steps of creating a local parameter file, modifying a logic script by reading parameter variable values in the parameter file, and scheduling by the modified logic script, so that on the basis of not modifying a program, not only can data of an existing label be processed and calculated, but also part of data of the label needing to be modified can be processed, historical partition data can be traced back, convenience and flexibility are realized, and the development and maintenance efficiency can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a first flowchart illustrating a method for processing a logic script according to an embodiment of the present application;
fig. 2 is a second flowchart illustrating a method for processing a logic script according to an embodiment of the present application;
fig. 3 is a third flowchart illustrating a method for processing a logic script according to an embodiment of the present application;
FIG. 4 is a first structural diagram of a processing apparatus for logic scripts according to an embodiment of the present application;
FIG. 5 is a second structural diagram of a logic script processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected examples of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.
The technical terms and abbreviations appearing in the present document are explained as follows:
DSS: datasphere Studio (data processing platform sourced by Oershan Bank);
ETL: Extract-Transform-Load, which is a process of extracting, converting and loading data from a source end to a destination end;
hadoop: a distributed system infrastructure;
HIVE: the data warehouse tool is based on Hadoop and is used for extracting, converting and loading data;
HQL: HIVE is an object-oriented query language, and is similar to SQL language;
sqoop: a data import and export tool from the relational database to the HIVE;
waterdrop: a product capable of real-time data processing, built on the Apache Spark, and used for exporting data from the HIVE to the clickwouse;
UDF: a user-defined function of HIVE;
HDFS (Hadoop distributed File System): and a component of the open-source big data frame Hadoop is used for distributed storage.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
The method and the device can be applied to the ETL batch development process of the offline data of the labels or indexes. In the process, after the scheduling task is issued, due to the temporary requirement for separately calculating data (not all data) of some tags or some time periods, the content of the workflow script needs to be changed, and the scheduling is reissued, so that the operation flow is relatively complicated.
Based on this, the embodiment of the application provides a processing method of a logic script, which controls the logic script in a parameter transmission mode, and is more convenient and flexible.
Referring to fig. 1, fig. 1 is a first flowchart illustrating a method for processing a logic script according to an embodiment of the present application. As shown in fig. 1, the method for processing a logic script provided in this embodiment includes:
s101, acquiring a logic script in an HQL control;
in this step, the logical script in the HQL control is the program for processing and computing the data tags.
In this embodiment, a basic data processing platform based on a DSS open source is used for description. The general process development process is that a corresponding HQL control is dragged on at least one workflow on the DSS platform, the written logic script is written into the HQL control, and development is carried out according to the corresponding naming specification. And dragging the qualites control before or after the HQL control to check the data quality, so as to ensure the correctness of the input data of the target table. Exporting to the target table using a Shell control (in the form of a Shell script) to call Sqoop, Waterdrop, and other tools is started after the data quality check is completed.
In the method of the embodiment, the development process of the HQL control is not involved, and the logic script in the developed HQL control can be directly obtained.
S102, creating a local parameter file, and transmitting the parameter file into a file system of the HDFS to obtain a storage path of the parameter file; the parameter file comprises a control variable name and a control variable value;
in this step, a parameter file, such as a shell control, needs to be created locally on the server to control the control variable key value of the entire project, specifically including the control variable name and the control variable value. And then uploading the local parameter files to a file system of the HDFS through a Hadoop command, and uniformly storing the parameter files.
For example, to control the partition field of the partition table, a control parameter "current _ xxx" may be set in a local parameter file, and the parameter file is transferred into the file system of the HDFS. The partition data to be run is controlled in the "where" condition by taking the value of the variable "current" in the HQL control.
For another example, a plurality of labels are simultaneously run in a workflow, and the computation logic of each label is separately stored by using an HQL control to call computation. In this case, it is inconvenient to specify which tabs of the HQL control execute and which do not execute in the scheduling of the workflow. In this case, a control parameter such as "tag _ list ═ xxx, yyy, …" may be set in a local parameter file, and it may be determined whether or not to run the data in the HQL control.
S103, reading a control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name, and returning the control variable value to the HIVE;
in this step, a UDF function needs to be customized and run, and a relevant API interface in the file system of the HDFS is called through the UDF function, so as to read a parameter file in the file system of the HDFS. And (4) processing the control variable value and returning the processed control variable value to the HIVE by calling the parameter path and the control variable name in the user-defined UDF function.
S104, modifying the logic script in the HQL control;
in the step, the logic script in the HQL control is modified correspondingly based on the control variable value obtained by the HIVE.
When a user needs to change tags of batch runs or other conditions such as service time, control variable information can be written into the parameter file through the step S102, the logic script is modified by reading parameter variable values in the parameter file, and scheduling is performed through the modified logic script, so that control over certain process conditions is achieved, and therefore on the basis of not modifying a program, data of the existing tags can be processed and calculated, part of data of the tags needing to be modified can be processed, historical partition data can be traced, convenience and flexibility are achieved, and development and maintenance efficiency can be improved.
Referring to fig. 2, fig. 2 is a second flowchart illustrating a method for processing a logic script according to an embodiment of the present application. As shown in fig. 2, the method for processing a logic script provided in this embodiment includes:
s201, acquiring a logic script in the HQL control; wherein the HQL control corresponds to at least one workflow of a DSS platform;
s202, creating a local parameter file, and transmitting the parameter file into a file system of the HDFS to obtain a storage path of the parameter file; the parameter file comprises a control variable name and a control variable value;
s203, setting path parameters on at least one workflow of the DSS platform, so that each workflow corresponds to one parameter file;
in this step, path parameters are respectively set on each workflow, each workflow corresponds to one parameter file, and data isolation of control variables is performed to a certain extent, so that data confusion can be avoided, and read-write pressure is relieved to a certain extent.
S204, reading a control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name, and returning the control variable value to the HIVE;
s205, modifying the logic script in the HQL control.
The contents and effects of the other steps are the same as those of the previous embodiment, and are not described herein again.
Referring to fig. 3, fig. 3 is a third flowchart illustrating a method for processing a logic script according to an embodiment of the present application. As shown in fig. 3, the method for processing a logic script provided in this embodiment includes:
s301, acquiring a logic script in the HQL control; wherein the HQL control corresponds to at least one workflow of a DSS platform;
s302, creating a local parameter file, and transmitting the parameter file into a file system of the HDFS to obtain a storage path of the parameter file; the parameter file comprises a control variable name and a control variable value;
s303, setting path parameters on at least one workflow of the DSS platform, so that each workflow corresponds to one parameter file respectively;
s304, reading a control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name, and returning the control variable value to the HIVE;
s305, modifying the logic script in the HQL control;
s306, the modified logic script is issued to a timing scheduling program and runs according to a preset time parameter.
In this step, the preset time parameter may be periodic, such as by day, week, month, year, etc., or aperiodic, and may be set by the user as needed.
The contents and effects of the other steps are the same as those of the previous embodiment, and are not described herein again.
Based on the same inventive concept, a processing apparatus of a logic script corresponding to a processing method of the logic script is further provided in the embodiments of the present application, and since the principle of the apparatus in the embodiments of the present application for solving the problem is similar to the processing method of the logic script described above in the embodiments of the present application, the implementation of the apparatus may refer to the implementation of the method, and repeated details are not described again.
Referring to fig. 4, fig. 4 is a schematic diagram illustrating a first structure of a processing device for logic scripts according to an embodiment of the present application. As shown in fig. 4, the processing device 400 includes:
an obtaining module 410, configured to obtain a logic script in the HQL control;
the editing module 420 is configured to create a local parameter file, and transmit the parameter file to a file system of the HDFS, so as to obtain a storage path of the parameter file; the parameter file comprises a control variable name and a control variable value;
the reading module 430 is configured to read a control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name, and return the control variable value to the HIVE;
a processing module 440, configured to modify the logic script in the HQL control.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating a second structure of a processing device for logic scripts according to an embodiment of the present application.
In this embodiment, the processing apparatus further includes a setting module 450, configured to set path parameters on at least one workflow of the DSS platform, so that each workflow corresponds to one of the parameter files.
In addition, in this embodiment, the processing apparatus further includes a timing scheduling module 460, configured to issue the modified logic script to the timing scheduler, and operate according to a preset time parameter.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 6, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.
The memory 520 stores machine-readable instructions executable by the processor 510, when the electronic device 500 runs, the processor 510 communicates with the memory 520 through the bus 530, and when the machine-readable instructions are executed by the processor 510, the steps of the method for processing the logic script in the method embodiment shown in fig. 1 to fig. 3 may be executed.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program may perform the steps of the method for processing the logic script in the method embodiment shown in fig. 1 to fig. 3.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for processing a logic script is characterized by comprising the following steps:
acquiring a logic script in an HQL control;
creating a local parameter file, and transmitting the parameter file into a file system of an HDFS (Hadoop distributed File System) to obtain a storage path of the parameter file; the parameter file comprises a control variable name and a control variable value;
reading a control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name, and returning the control variable value to the HIVE;
and modifying the logic script in the HQL control.
2. The process of claim 1, wherein said HQL control corresponds to at least one workflow of a DSS platform.
3. The processing method according to claim 2, wherein after the step of creating a local parameter file, and transferring the parameter file into a file system of an HDFS to obtain a storage path of the parameter file, the processing method further comprises the steps of:
and setting path parameters on at least one workflow of the DSS platform, so that each workflow corresponds to one parameter file respectively.
4. The process of claim 1, further comprising, after said step of modifying the logical script in the HQL control, the step of:
and releasing the modified logic script to a timing scheduling program, and operating according to a preset time parameter.
5. The processing method according to claim 1, wherein in the step of reading the control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name, and returning the control variable value to the high, the processing method further comprises:
and customizing and operating a UDF function, and calling a related API (application programming interface) in the file system of the HDFS through the UDF function so as to read the parameter file in the file system of the HDFS.
6. An apparatus for processing a logic script, comprising:
the acquisition module is used for acquiring the logic script in the HQL control;
the editing module is used for creating a local parameter file and transmitting the parameter file into a file system of the HDFS to obtain a storage path of the parameter file; the parameter file comprises a control variable name and a control variable value;
the reading module is used for reading a control variable value corresponding to the control variable name based on the storage path of the parameter file and the control variable name and returning the control variable value to the HIVE;
and the processing module is used for modifying the logic script in the HQL control.
7. The processing apparatus according to claim 6, further comprising a setting module, configured to set path parameters on at least one workflow of the DSS platform, so that each workflow corresponds to one of the parameter files.
8. The processing apparatus as claimed in claim 6, further comprising a timing scheduler module, configured to issue the modified logic script to the timing scheduler, and to run according to a preset time parameter.
9. An electronic device, comprising: a processor, a storage medium, and a bus,
the storage medium stores machine-readable instructions executable by the processor, the processor and the storage medium communicate via a bus when the electronic device is operated, and the processor executes the machine-readable instructions to perform the steps of the method for processing the logic script according to any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that the readable storage medium has stored thereon a computer program which, when being executed by a processor, performs the steps of the method for processing a logic script according to one of claims 1 to 5.
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| CN109241019A (en) * | 2018-08-02 | 2019-01-18 | 中国建设银行股份有限公司 | Data exchange system, method, apparatus and storage medium between different storage mediums |
| CN110502579A (en) * | 2019-08-26 | 2019-11-26 | 第四范式（北京）技术有限公司 | The system and method calculated for batch and real-time characteristic |
| CN111651121A (en) * | 2020-04-29 | 2020-09-11 | 中国平安财产保险股份有限公司 | Data logic calculation method and device, electronic equipment and storage medium |
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