CN115145988A - ETL-based data blood margin analysis display method and device and electronic equipment - Google Patents

ETL-based data blood margin analysis display method and device and electronic equipment Download PDF

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Publication number
CN115145988A
CN115145988A CN202210762056.5A CN202210762056A CN115145988A CN 115145988 A CN115145988 A CN 115145988A CN 202210762056 A CN202210762056 A CN 202210762056A CN 115145988 A CN115145988 A CN 115145988A
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data
information
node
blood relationship
blood
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戴超凡
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National University of Defense Technology
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26—Visual data mining; Browsing structured data

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  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention provides an ETL-based data blood margin analysis display method, a device and electronic equipment, wherein the method comprises the following steps: acquiring task execution details of a data extraction and conversion task in real time, acquiring data blood relationship information including data source information and data circulation information according to the task execution details, and storing the data blood relationship information in a database; acquiring information of any table to be analyzed, and searching data blood relationship information of the table from a database according to the information of the table; obtaining data source information and data circulation information of each node by using a table as a central node according to data blood relationship information by applying a graph algorithm; and drawing and displaying a blood relationship graph of the table according to the data source information and the data flow information, wherein the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction. The invention monitors and analyzes the operation of the data extraction conversion task in real time in a point burying mode, does not influence the normal operation of the data extraction conversion task, and is stable, accurate, comprehensive and visual.

Description

ETL-based data blood margin analysis display method and device and electronic equipment
Technical Field
The invention belongs to the technical field of computers, in particular to a data blood margin analysis display method, a device and electronic equipment.
Background
Throughout the data life cycle, the data is processed continuously to generate various intermediate data or data products, and the association relationship between these data is called data consanguinity or data ancestry. For data acquired and generated in a business process, an Extract-Transform-Load (ETL) tool is generally required to perform processing of multiple steps on original data and generate new data, a plurality of interrelated data tables are generated in the process, a link relation of the data between the data tables is called a data blood margin, and a path of the data blood margin is identified and displayed, so that the flow logic and the interrelation of the data can be quickly cleared, and the normalized maintenance is facilitated.
With the rise of big data technology, the data volume is larger and larger, the relationship between data is more and more complex, and the data modification is usually to move the whole body by one movement, so the blood relationship analysis of the data is more and more important. The existing data tracing usually detects an original database, has huge workload, is not timely updated in blood relationship, and usually only can trace the blood relationship between database tables.
Disclosure of Invention
The invention provides a data blood relationship analysis display method, a data blood relationship analysis display device and electronic equipment, and aims to solve the problem that the existing data blood relationship is not updated timely.
Based on the above purpose, an embodiment of the present invention provides a data blood relationship analysis display method, including: acquiring task execution details of a data extraction conversion task in real time, analyzing and acquiring data blood relationship information including data source information and data circulation information according to the task execution details, and storing the data blood relationship information into a database; acquiring information of any table to be analyzed, and searching data blood relationship information of the table from the database according to the information of the table; according to the data blood relationship information, a graph algorithm is applied, and the data source information and the data circulation information of each node are obtained by taking the table as a central node; and drawing and displaying a blood relationship graph of the table according to the data source information and the data circulation information of each node, wherein the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction.
Optionally, the obtaining of the task execution details of the data extraction and conversion task in real time includes: monitoring an ETL tool program and a log in real time, and acquiring a task execution state of the data extraction conversion task executed by applying the ETL tool; acquiring a unique code and a data storage position of the data extraction conversion task; querying a database according to the unique code and the data storage position, and acquiring the task execution details of the data extraction and conversion task, wherein the task execution details comprise: the hierarchical relation of the database, the table and the field and the data operation information of extraction, conversion and loading.
Optionally, the analyzing and acquiring data blood relationship information including data source information and data conversion information according to the task execution details and storing the data blood relationship information in a database includes: analyzing and summarizing the task execution details in a full link, restoring a complete configuration link from the first step to the last step of the data extraction and conversion task, and acquiring the data blood margin information including the data source information and the data circulation information; and storing the acquired data blood relationship information to the database.
Optionally, the data source information includes: the hierarchical relationship of the database, the table, the field and the file, wherein the data circulation information comprises: data traffic direction, data traffic, data operation type.
Optionally, the data blood relationship information obtained is stored in the database, the method comprises the following steps: and storing the data source information and the data circulation information into the database according to the data operation type and the hierarchical relationship.
Optionally, the obtaining the data source information and the data transfer information of each node by using the table as a central node according to the data blood relationship information by applying a graph algorithm includes: and traversing and searching the data source information and the data circulation information of each node in the data blood margin information by using a graph algorithm with the table as a central node, wherein the graph algorithm is one of a breadth-first algorithm or a depth-first algorithm.
Optionally, the drawing and displaying a blood relationship graph of the table according to the data source information and the data flow information of each node includes: taking the table as a central node, wherein the left side of the central node is a data inflow node of the central node, the right side of the central node is a data outflow node of the central node, an arrow between the two nodes is a data circulation direction, connecting line information shows a field name of data, and a blood relationship graph of the table is drawn; and visually displaying the blood relationship graph.
Based on the same inventive concept, the embodiment of the present invention further provides a data blood margin analysis display device, including: the task analysis unit is used for acquiring the task execution details of the data extraction conversion task in real time, analyzing and acquiring data consanguinity information including data source information and data circulation information according to the task execution details and storing the data consanguinity information into a database; the blood relationship searching unit is used for acquiring the information of any table to be analyzed and searching the data blood relationship information of the table from the database according to the information of the table; a blood margin obtaining unit, configured to apply a graph algorithm according to the data blood margin information and obtain the data source information and the data transfer information of each node by using the table as a central node; and the drawing display unit is used for drawing and displaying the blood relationship graph of the table according to the data source information and the data circulation information of each node, and the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction.
Based on the same inventive concept, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the foregoing method when executing the computer program.
Based on the same inventive concept, the embodiment of the present invention further provides a computer storage medium, in which at least one executable instruction is stored, and the executable instruction causes a processor to execute the foregoing method.
The invention has the beneficial effects that: as can be seen from the above, the data blood relationship analysis display method, device and electronic device provided in the embodiments of the present invention include: acquiring task execution details of a data extraction and conversion task in real time, analyzing and acquiring data blood relationship information including data source information and data circulation information according to the task execution details, and storing the data blood relationship information in a database; acquiring information of any table to be analyzed, and searching data blood relationship information of the table from the database according to the information of the table; according to the data blood relationship information, a graph algorithm is applied, and the data source information and the data circulation information of each node are obtained by taking the table as a central node; and drawing and displaying a blood relationship graph of the table according to the data source information and the data circulation information of each node, wherein the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction, and the operation of the data extraction and conversion task is monitored and analyzed in real time in a point burying mode, so that the normal operation of the data extraction and conversion task is not influenced, and the operation is stable, accurate, comprehensive and visualized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart illustrating a data blood-related analysis displaying method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a blood relationship graph of a data blood relationship analysis display method according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a data blood margin analysis display device according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an electronic device according to an embodiment of the invention.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It is to be noted that technical terms or scientific terms used in the embodiments of the present invention should have the ordinary meanings as understood by those having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar language in the embodiments of the present invention does not denote any order, quantity, or importance, but rather the terms "first," "second," and similar language are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item preceding the word comprises the element or item listed after the word and its equivalent, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
The embodiment of the invention provides a data blood relationship analysis display method. As shown in fig. 1, the data blood margin analysis display method comprises the following steps:
step S11: and acquiring the task execution details of the data extraction and conversion task in real time, analyzing and acquiring data blood relationship information including data source information and data circulation information according to the task execution details, and storing the data blood relationship information into a database.
In the embodiment of the invention, the data extraction conversion task is an ETL task. Monitoring an ETL tool program and a log in real time, and acquiring a task execution state of the data extraction conversion task executed by applying the ETL tool; acquiring a unique code and a data storage position of the data extraction conversion task; querying a database according to the unique code and the data storage position, and acquiring the task execution details of the data extraction conversion task, wherein the task execution details comprise: the hierarchical relation of the database, the table and the field and the data operation information of extraction, conversion and loading. The ETL tool includes but is not limited to one of the informatics, the button and the like. The task execution state of the ETL tool is obtained by monitoring an ETL tool program, a log and the like in real time, the information such as the unique code, the data storage position and the like of the data extraction conversion task is obtained, and all detail information of the data extraction conversion task is obtained by inquiring a database of the ETL tool and comprises the hierarchical relation of the database, a table, a field and a file and the data operation information of extraction, conversion, loading and the like.
After the task execution details of the data extraction conversion task are obtained, analyzing and summarizing the task execution details in a full link, restoring a complete configuration link from the first step to the last step of the data extraction conversion task, and obtaining the data blood margin information including the data source information and the data circulation information; and storing the acquired data blood relationship information to the database.
The data source information includes: the hierarchical relationship of databases, tables, fields, files and the like, and the data circulation information comprises: data traffic direction, data traffic, data operation type, etc. The data circulation direction can be data inflow or data outflow, the data circulation volume represents the size of the circulated data volume, and the data operation type can be data operation such as extraction, conversion, loading and the like. And when the data blood relationship information is stored, storing the data source information and the data circulation information into the database according to the data operation type and the hierarchical relationship. The complete configuration link comprises data source information and data circulation information of each node involved from the first step to the last step of the data extraction conversion task, and the data blood margin information comprising the data source information and the data circulation information can be obtained by analyzing the complete configuration link.
Step S12: and acquiring information of any table to be analyzed, and searching data blood relationship information of the table from the database according to the information of the table.
In the embodiment of the present invention, the information of any table to be analyzed includes, but is not limited to: the database address, port, instance name, user name, password, table name, etc. where the table is located. When the blood margin analysis needs to be carried out on any table, the data blood margin information of the table recorded in the database is uniquely located according to the information of the table, and the data blood margin information is transmitted to a graph algorithm for further processing. The data consanguinity information includes all relevant information of the table node, including information related to the table node, data source information of the table node, and data flow information.
Step S13: and according to the data blood relationship information, a graph algorithm is applied to acquire the data source information and the data circulation information of each node by taking the table as a central node.
Optionally, a graph algorithm is applied to search the data source information and the data flow information of each node in the data blood margin information in a traversal mode by using the graph algorithm with the table as a center node, and the graph algorithm is one of a breadth-first algorithm and a depth-first algorithm. The preferred method is a breadth-first algorithm, that is, the breadth-first algorithm is used for performing traversal search on data blood-related information and acquiring data source information and data flow information of each node, specifically including information of all nodes, connection information between nodes, data flow direction for data input or data output, and the like.
Step S14: and drawing and displaying a blood relationship graph of the table according to the data source information and the data circulation information of each node, wherein the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction.
Optionally, the table is used as a central node, the left side of the central node is a data inflow node of the central node, the right side of the central node is a data outflow node of the central node, an arrow between the two nodes is a data circulation direction, the information of a connecting line shows a field name of data, and a blood relationship graph of the table is drawn; and visually displaying the blood relationship graph. The blood relationship diagram is shown in fig. 2, a central node is a node SXT3, data inflow nodes are a node SXT1 and a node SXT2, and a data outflow node is a node EXT. The data inflow node SXT1 includes field names c1, c2, c3, and c4 of data, the data inflow node SXT2 includes field names c5 and c6 of data, and the data outflow node EXT includes field names c1, c2, c3, c4, c5, and c6 of data.
The embodiment of the invention performs data blood margin analysis based on the ETL, is used for data blood margin tracing and influence analysis, particularly acquires the data circulation relation among a database, a table and fields by monitoring the operation of the ETL on data and performing visual display in a large data scene with various data types, complex data relation and large data volume, monitors and analyzes the operation of an ETL task in real time in a point burying mode, does not influence the normal operation of the ETL task, and has the advantages of stability, accuracy, comprehensiveness and visualization.
According to the data blood margin analysis and display method, the task execution details of the data extraction and conversion task are obtained in real time, and the data blood margin information including data source information and data circulation information is obtained through analysis according to the task execution details and stored in a database; acquiring information of any table to be analyzed, and searching data blood relationship information of the table from the database according to the information of the table; according to the data blood relationship information, a graph algorithm is applied, and the data source information and the data circulation information of each node are obtained by taking the table as a central node; and drawing and displaying a blood relationship graph of the table according to the data source information and the data circulation information of each node, wherein the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction, and can monitor and analyze the operation of a data extraction and conversion task in real time in a point burying mode without influencing the normal operation of the data extraction and conversion task, and is stable, accurate, comprehensive and visual.
The foregoing description of specific embodiments of the present invention has been presented. In some cases, acts or steps recited in embodiments of the invention may be performed in an order different than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same conception, the embodiment of the invention also provides a data blood relationship analysis and display device. The automatic driving device or the auxiliary driving device is applied. As shown in fig. 3, the data blood margin analysis display device comprises: the system comprises a task analysis unit, a blood relationship searching unit, a blood relationship obtaining unit and a drawing display unit. Wherein, the first and the second end of the pipe are connected with each other,
the task analysis unit is used for acquiring task execution details of the data extraction and conversion task in real time, analyzing and acquiring data blood relationship information including data source information and data circulation information according to the task execution details and storing the data blood relationship information into a database;
the blood relationship searching unit is used for acquiring the information of any table to be analyzed and searching the data blood relationship information of the table from the database according to the information of the table;
a blood margin obtaining unit, configured to apply a graph algorithm according to the data blood margin information and obtain the data source information and the data transfer information of each node by using the table as a central node;
and the drawing display unit is used for drawing and displaying the blood relationship graph of the table according to the data source information and the data circulation information of each node, and the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction.
For convenience of description, the above devices are described as being divided into various modules by functions, which are described separately. Of course, the functions of the modules may be implemented in the same or multiple software and/or hardware in implementing embodiments of the invention.
The apparatuses of the foregoing embodiments are applied to the corresponding methods in the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which are not described herein again.
Based on the same inventive concept, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method according to any of the above embodiments is implemented.
An embodiment of the present invention provides a non-volatile computer storage medium, where at least one executable instruction is stored in the computer storage medium, and the computer executable instruction may execute the method described in any of the above embodiments.
Fig. 4 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 401, a memory 402, an input/output interface 403, a communication interface 404, and a bus 405. Wherein the processor 401, the memory 402, the input/output interface 403 and the communication interface 404 are communicatively connected to each other within the device via a bus 405.
The processor 401 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solution provided by the embodiment of the present invention.
The Memory 402 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random access Memory), a static storage device, a dynamic storage device, or the like. The memory 402 may store an operating system and other application programs, and when the technical solution provided by the method embodiment of the present invention is implemented by software or firmware, the relevant program codes are stored in the memory 402 and called to be executed by the processor 401.
The input/output interface 403 is used for connecting an input/output module to realize information input and output. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 404 is used to connect a communication module (not shown in the figure) to implement communication interaction between the present device and other devices. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, bluetooth and the like).
The bus 405 includes a path to transfer information between various components of the device, such as the processor 401, memory 402, input/output interface 403, and communication interface 404.
It should be noted that although the above-mentioned device only shows the processor 401, the memory 402, the input/output interface 403, the communication interface 404 and the bus 405, in a specific implementation, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement embodiments of the present invention, and need not include all of the components shown in the figures.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure is limited to these examples; within the context of the present application, technical features in the above embodiments or in different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the present application described above, which are not provided in detail for the sake of brevity.
This application is intended to embrace all such alternatives, modifications and variances that fall within the broad scope of embodiments of the present invention. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present invention are intended to be included within the scope of the present application.

Claims (10)

1. A data blood relationship analysis display method based on ETL is characterized by comprising the following steps:
acquiring task execution details of a data extraction and conversion task in real time, analyzing and acquiring data blood relationship information including data source information and data circulation information according to the task execution details, and storing the data blood relationship information in a database;
acquiring information of any table to be analyzed, and searching data blood relationship information of the table from the database according to the information of the table;
according to the data blood relationship information, a graph algorithm is applied, and the data source information and the data circulation information of each node are obtained by taking the table as a central node;
and drawing and displaying a blood relationship graph of the table according to the data source information and the data circulation information of each node, wherein the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction.
2. The method as claimed in claim 1, wherein the obtaining of task execution details of the data extraction conversion task in real time comprises:
monitoring an ETL tool program and a log in real time, and acquiring a task execution state of the data extraction conversion task executed by applying the ETL tool;
acquiring a unique code and a data storage position of the data extraction conversion task;
querying a database according to the unique code and the data storage position, and acquiring the task execution details of the data extraction and conversion task, wherein the task execution details comprise: the hierarchical relation of the database, the table and the field and the data operation information of extraction, conversion and loading.
3. The method as claimed in claim 2, wherein said performing detail analysis according to said task to obtain and store data blood vessel information including data source information and data transformation information into a database comprises:
analyzing and summarizing the task execution details in a full link, restoring a complete configuration link from the first step to the last step of the data extraction and conversion task, and acquiring the data blood relationship information including the data source information and the data circulation information;
and storing the acquired data blood relationship information to the database.
4. The method of claim 3, wherein the data source information comprises: the hierarchical relationship of the database, the table, the field and the file, and the data circulation information comprises the following components: data traffic direction, data traffic, data operation type.
5. The method of claim 4, wherein said storing the acquired data consanguinity information to the database comprises:
and storing the data source information and the data circulation information into the database according to the data operation type and the hierarchical relationship.
6. The method of claim 1, wherein said applying a graph algorithm based on said data consanguinity information to obtain said data source information and said data flow information for each node using said table as a central node comprises:
and traversing and searching the data source information and the data circulation information of each node in the data blood margin information by using a graph algorithm with the table as a central node, wherein the graph algorithm is one of a breadth-first algorithm or a depth-first algorithm.
7. The method as claimed in claim 1, wherein said plotting and presenting a blood-related graph of said table based on said data source information and said data flow information for each node comprises:
taking the table as a central node, wherein the left side of the central node is a data inflow node of the central node, and the right side of the central node is a data outflow node of the central node, an arrow between two nodes is a data flow direction, the information of the connecting line shows the field name of the data, and a blood relationship graph of the table is drawn;
and visually displaying the blood relationship graph.
8. A data blood margin analysis display device, the device comprising:
the task analysis unit is used for acquiring task execution details of the data extraction and conversion task in real time, analyzing and acquiring data blood relationship information including data source information and data circulation information according to the task execution details and storing the data blood relationship information into a database;
the blood relationship searching unit is used for acquiring the information of any table to be analyzed and searching the data blood relationship information of the table from the database according to the information of the table;
a blood margin obtaining unit, configured to apply a graph algorithm according to the data blood margin information and obtain the data source information and the data transfer information of each node by using the table as a central node;
and the drawing display unit is used for drawing and displaying the blood relationship graph of the table according to the data source information and the data circulation information of each node, and the blood relationship graph at least comprises a data inflow node and a data outflow node which take the table as a central node and a data circulation direction.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of the claims 1-7 when executing the program.
10. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform the method of any one of claims 1-7.
CN202210762056.5A 2022-06-30 2022-06-30 ETL-based data blood margin analysis display method and device and electronic equipment Pending CN115145988A (en)

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