CN113961570A - Real-time acquisition method applied to MYSQL BINLog change data - Google Patents

Real-time acquisition method applied to MYSQL BINLog change data Download PDF

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CN113961570A
CN113961570A CN202111576355.1A CN202111576355A CN113961570A CN 113961570 A CN113961570 A CN 113961570A CN 202111576355 A CN202111576355 A CN 202111576355A CN 113961570 A CN113961570 A CN 113961570A
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周维
杨斌
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Sichuan XW Bank Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
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    • GPHYSICS
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/177Editing, e.g. inserting or deleting of tables; using ruled lines
    • G06F40/18Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/186Templates

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Abstract

The invention discloses a real-time acquisition method applied to MYSQL BINLog change data, and belongs to the technical field of big data. The invention comprises the following steps: 1. configuring database connection information and acquisition field information of a MYSQL database to be acquired in Excel, and configuring a configuration file for analyzing the Excel template position, Flink SQL script output file configuration information and execution environment configuration information; 2. executing a Flink _ mysql script tool, and automatically generating a Flink CDC acquisition script; 3. and uploading the Flink CDC acquisition script to each Flink client node to execute task release. According to the invention, the acquisition code is automatically generated through simple configuration and tools, the complex and frequent real-time acquisition and research tasks are realized, the acquisition tasks are integrated in the existing real-time application platform, the cluster resources are fully utilized, the unified operation and maintenance management is realized, and the maintenance cost is reduced.

Description

Real-time acquisition method applied to MYSQL BINLog change data
Technical Field
The invention belongs to the technical field of big data, and particularly relates to a real-time acquisition method applied to MYSQL BINLog change data.
Background
The value of the data is reduced along with the time, and the value of the data can be timely and fully utilized only by promoting the real-time application of the data, so that the data can better enable the service, and the data value of the service is mined. In the prior art, the real-time architecture takes business data MYSQL and ORACLE as main data sources, and how to acquire real-time change data of a source system in real time becomes a difficult problem to be solved at the initial stage of real-time architecture construction.
The early framework is limited by the influence of the technical environment and the technical maturity of the market at that time, the real-time acquisition scheme is mostly a BINLog API interface based on MYSQL BINLog self-provided, and the self-developed real-time acquisition JAVA program is characterized in that the principle of the scheme is as follows: and developing a JAVA application applet to realize real-time Binlog log collection based on an API (application programming interface) provided by MYSQL BINLog and used for collecting the Binlog. However, this solution has the following drawbacks:
(1) the method is independent of a real-time computing platform, and the maintenance cost is high;
(2) based on the configuration file acquisition, the acquisition base tables are highly coupled, and a starting program can be started together with a normal acquisition base table, so that the temporary historical acquisition service data acquisition is interrupted, and the service continuity is influenced to a certain extent;
(3) the method comprises the following steps of (1) wasting resources, wherein a current acquisition program is deployed in 6 acquisition nodes, acquisition tasks are distributed unevenly, the resource utilization rate is low, and the wasting of resources is serious;
(4) the configuration file is long, complicated, manual configuration is easy to be mistaken or mismatched, short service acquisition interruption is caused when an acquisition task is started, and service continuity is influenced to a certain extent;
(5) the password is collected and can be reversibly configured to the configuration file, and the risk of password leakage of the database is achieved.
With the change of the architecture and the iteration of the technology, the stability of the current acquisition scheme and the performance disadvantage are more prominent, and the real-time acquisition support of the existing real-time architecture data is difficult to maintain. Therefore, the technical innovation of the acquisition scheme is imminent.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a real-time acquisition method applied to MYSQL BINLog change data, which aims to: through simple configuration and tool execution, the real-time acquisition task with complex difficulty can be realized, meanwhile, the real-time ecological framework is seamlessly combined with the existing real-time ecological framework, cluster resources are fully utilized, operation, maintenance and monitoring are unified, the acquisition task is integrated on a real-time computing service platform, and a plurality of unreasonable places of the original acquisition mode are solved.
The technical scheme adopted by the invention is as follows:
a real-time acquisition method applied to MYSQL BINLog change data comprises the following steps:
step 1: configuring database connection information and acquisition field information of a MYSQL database to be acquired in different sheets in Excel respectively, and configuring corresponding configuration files, wherein the configuration files are used for analyzing Excel template positions, Flink SQL script output file configuration information and required execution environment configuration information, and only once configuration is needed when the configuration files are packaged into an exe application program adaptive to a windows platform;
step 2: executing a Flink _ mysql script tool to realize automatic generation of a Flink CDC acquisition script;
and step 3: and uploading the automatically generated Flink CDC acquisition script to a Flink client node to execute task release.
After the technical scheme is adopted, the Flink CDC acquisition script acquires the configuration information of different sheets in the Excel in real time, research personnel only need to configure the configuration information in the Excel template, click the executable software exe file of the adaptive windows platform formed by packaging the execution template tool, and then generate the corresponding script file for real-time platform application release.
Preferably, step 1 specifically comprises the following steps:
step 1.1: configuring a table with the sheet name MYSQL _ binlog in an Excel template, and configuring database connection information of a MYSQL database to be acquired;
step 1.2: configuring a sheet with the name MYSQL _ column in an Excel template, and configuring acquisition field information of the sheet of the MYSQL database to be acquired;
step 1.3: configuring a config.ini file, specifying an Excel template position to be analyzed, Flink SQL script output file configuration information and required execution environment configuration information, and configuring once only when packaging the Excel template position, the Flink SQL script output file configuration information and the required execution environment configuration information into an exe application program adaptive to the windows platform.
After the optimal technical scheme is adopted, research personnel only need to configure the acquisition address, port, database name, table name, output flow table topic name and the like of MYSQL needing to be acquired in the MYSQL _ binlog template in the Excel template and field information needed by acquisition in the MYSQL _ column template, so that a real-time acquisition task with complex difficulty can be realized, and meanwhile, the optimal technical scheme is seamlessly combined with the existing real-time ecological architecture.
Preferably, step 2 specifically comprises the following steps:
step 2.1, packing tool codes into executable exe application programs which can be executed by the windows platform by using a pyinstteller-F flk _ mysql.
Step 2.2: operating an executable file, detecting a config.ini file under a program main directory through a back-end program, judging whether the file exists or not, prompting a popup box if the file does not exist, displaying that the config.ini configuration file does not exist, reading a path of an Excel template file configured in the configuration file and relevant attributes of an execution environment if the file exists, detecting the correctness of the template file and the relevant parameters under the configuration path, popping up a relevant abnormal prompt if the file is incorrect, reading a sheet with a sheet name of mysql _ binlog in the Excel template file normally, acquiring mysql acquisition address, table and other information required by the acquisition template generation, then reading mysql acquisition field information configured in the sheet name of mysql _ column in the Excel template file, introducing acquisition script and field information into a template function as entries, splicing the information into a Flink SQL flow table creation code and writing an INSERT entry number SQL code into a corresponding SQL file through the template function, and completing code generation.
Further preferably, step 3 specifically comprises the following steps:
step 3.1: uploading a Flink SQL created flow table generated by the tool and an input real-time bin access layer code script to a client of the Flink On Yarn;
step 3.2: calling a Flink Table API to start a jar packet program, using a Flink SQL script as an entry parameter to enter a jar packet, and completing the creation of a flow Table and the starting of a flow type entry task;
step 3.3: and checking the task starting condition through a Flink UI interface, and observing the data acquisition condition through a Kafka consumption flow table.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. according to the invention, based on the Excel configuration automatic generation acquisition script tool, the analyzed Excel acquisition configuration information is taken as input parameters through analyzing the configuration information such as database addresses, ports, databases, tables and output flow table topic names acquired by the Excel configuration database, and the SQL template of the tool, so that the automatic generation of the MYSQL BINLog acquisition script is realized, the process of manually writing the acquisition script is reduced, the research and development efficiency is improved, and the time for developing a task is shortened to a minute level from the previous day.
2. The tool codes are packaged into executable software adapted to the windows platform, so that the tool codes can be used for data research and development colleagues which are not familiar with the python language without depending on a research and development tool pycharm, and complex execution environment configuration is not needed.
3. The invention overcomes the problems of serious task coupling, long configuration and resource waste in the prior art and the defects of reversible password configuration, does not influence the continuity of service, improves the utilization rate of resources and has higher safety.
4. The invention utilizes cluster resources, saves 6 servers which are separately deployed and used, integrates unified task management and ecological monitoring, does not need to separately deploy monitoring and development script management, realizes the unification and integration of real-time architecture, and reduces the dissociation of ecological components.
5. The invention can realize the real-time acquisition task with complex difficulty through simple configuration and tool execution, and is seamlessly combined with the existing real-time ecological architecture, thereby fully utilizing cluster resources and realizing the integration of the acquisition task in the real-time application ecology.
6. The invention can be integrated into a real-time computing service platform to form a uniform data acquisition function and has the potential of functional service.
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The invention will now be described, by way of example, with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart of the present invention.
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 embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
In the description of the embodiments of the present application, it should be noted that the terms "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings or orientations or positional relationships that the products of the present invention are usually placed in when used, and are only used for convenience of description and simplicity of description, but do not indicate or imply that the devices or elements that are referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present application. Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
The present invention will be described in detail with reference to fig. 1.
A real-time acquisition method applied to MYSQL BINLog change data comprises the following steps:
step 1: configuring database information and field information of a MYSQL database to be acquired in different sheets in Excel respectively, configuring corresponding configuration files, wherein the configuration files are used for analyzing Excel template positions, Flink SQL script output file configuration information and required execution environment configuration information, and configuring the configuration files once when the configuration files are only packaged into an exe application program adaptive to a windows platform;
the method specifically comprises the following steps:
step 1.1: and configuring a table with the sheet name MYSQL _ binlog in the Excel template, and configuring database information of the MYSQL database to be collected. For example: whether to generate, real-time stream English name, system abbreviation, source table English name, source table business meaning, source table Chinese name, topic, collection type, collection server, database type, IP, port, library name, owner, configuration file, state, remark and other information.
Step 1.2: configuring a sheet with the name MYSQL _ column in the Excel template, and configuring field information of the sheet of the MYSQL database to be acquired. For example: the source table English name, the sequence number, the source field English name, the source field type, the source field Chinese name, the key identification, whether the key is effective or not, the remark and other information.
Step 1.3: configuring a config.ini file, and specifying an Excel template position to be analyzed, Flink SQL script output file configuration information and required execution environment configuration information. For example: and configuring information of Kafka, Zookeper, Elasticissearch and the like of the real-time cluster operating environment.
Step 2: executing a tool of the Flink _ mysql script to realize the automatic generation of the Flink CDC acquisition script, wherein tool codes are packaged into an executable file which can be adapted to the execution of a Windows platform;
the method specifically comprises the following steps:
step 2.1 uses the pyinstteller-F flk _ mysql. py command to package the tool code into an executable file that can be adapted to be executed by the windows platform. The advantages of using this scheme are: the executable software packaged into the windows platform adaptation can be used for data research and development colleagues who are not familiar with the python language without depending on a research and development tool pycharm, and exe executable file icons can be customized and sent to desktop shortcut keys without complicated execution environment configuration.
Step 2.2: operating an executable file, detecting a config.ini file under a program main directory through a back-end program, judging whether the file exists or not, prompting a popup box if the file does not exist, displaying that the config.ini configuration file does not exist, reading a path of an Excel template file configured in the configuration file and relevant attributes of an execution environment if the file exists, detecting the correctness of the template file and the relevant parameters under the configuration path, popping up a relevant abnormal prompt if the file is incorrect, reading a sheet with a sheet name of mysql _ binlog in the Excel template file normally, acquiring mysql acquisition address, table and other information required by the acquisition template generation, then reading mysql acquisition field information configured in the sheet name of mysql _ column in the Excel template file, introducing acquisition script and field information into a template function as entries, splicing the information into a Flink SQL flow table creation code and writing an INSERT entry number SQL code into a corresponding SQL file through the template function, and completing code generation.
And step 3: and respectively uploading the automatically generated Flink CDC acquisition scripts to each Flink execution node for operation.
The method specifically comprises the following steps:
step 3.1: uploading a Flink SQL created flow table generated by the tool and an input real time bin O layer code script to a client of the Flink On Yarn;
step 3.2: calling a Flink Table API to start a jar packet program, using a Flink SQL script as an entry parameter to enter a jar packet, and completing the creation of a flow Table and the starting of a flow type entry task;
step 3.3: and checking the task starting condition through a Flink UI interface, and observing the data acquisition condition through a Kafka consumption flow table.
The invention can realize the real-time acquisition task with complex difficulty through simple configuration and tool execution, and is seamlessly combined with the existing real-time ecological architecture, thereby fully utilizing cluster resources and realizing the integration of the acquisition task in the real-time application ecology.
The above-mentioned embodiments only express the specific embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for those skilled in the art, without departing from the technical idea of the present application, several changes and modifications can be made, which are all within the protection scope of the present application.

Claims (4)

1. A real-time acquisition method applied to MYSQL BINLog change data is characterized by comprising the following steps:
step 1: respectively configuring database connection information and acquisition field information of a MYSQL database to be acquired in different sheets in Excel, and configuring corresponding configuration files, wherein the configuration files are used for analyzing Excel template positions, Flink SQL script output file configuration information and required execution environment configuration information;
step 2: executing a Flink _ mysql script tool to realize automatic generation of a Flink CDC acquisition script;
and step 3: and respectively uploading the automatically generated Flink CDC acquisition scripts to the Flink client nodes and issuing the Flink CDC acquisition scripts to a real-time computing service platform.
2. The real-time collection method applied to MYSQL BINLog change data according to claim 1, wherein the step 1 specifically comprises the following steps:
step 1.1: configuring a table with the sheet name MYSQL _ binlog in an Excel template, and configuring database connection information of a MYSQL database to be acquired;
step 1.2: configuring a sheet with the name MYSQL _ column in an Excel template, and configuring acquisition field information of the sheet of the MYSQL database to be acquired;
step 1.3: configuring a config.ini file, and specifying an Excel template position to be analyzed, Flink SQL script output file configuration information and required execution environment configuration information.
3. The real-time collection method applied to MYSQL BINLog change data according to claim 2, wherein the step 2 specifically comprises the following steps:
step 2.1, packaging tool codes into an exe application program which can be adapted to be executed by a windows platform by using a pyinstteller-F flk _ mysql.
Step 2.2: running an exe application program, detecting a config.ini file under a program main directory through a back-end program, judging whether the file exists or not, prompting a popup box if the file does not exist, displaying that the config.ini configuration file does not exist, reading a path of an Excel template file configured in the configuration file and relevant attributes of an execution environment if the file exists, detecting the correctness of the template file and relevant parameters under the configuration path, popping up a relevant abnormal prompt if the file is incorrect, reading a table with a sheet name of mysql _ binlog in the Excel template file normally, acquiring a mysql acquisition address and table information required by the acquisition template generation, reading mysql acquisition field information configured in the sheet name of mysql _ column in the Excel template file, transmitting the acquisition information and the field information into a template function as parameters, splicing the information into a Flink SQL flow table creation code and writing an INSERT entry number SQL code into a corresponding SQL file by the template function, and completing code generation.
4. The real-time collection method applied to MYSQL BINLog change data according to claim 2, wherein the step 3 specifically comprises the following steps:
step 3.1: uploading a Flink SQL created flow table generated by the tool and an input real-time bin access layer code script to a client of the Flink On Yarn;
step 3.2: calling a Flink Table API to start a jar packet program, using a Flink SQL script as an entry parameter to enter a jar packet, and completing the creation of a flow Table and the starting of a flow type entry task;
step 3.3: and checking the task starting condition through a Flink UI interface, and observing the data acquisition condition through a Kafka consumption flow table.
CN202111576355.1A 2021-12-22 2021-12-22 Real-time acquisition method applied to MYSQL BINLog change data Pending CN113961570A (en)

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