CN114048188A - Cross-database data migration system and method - Google Patents
Cross-database data migration system and method Download PDFInfo
- Publication number
- CN114048188A CN114048188A CN202111351516.7A CN202111351516A CN114048188A CN 114048188 A CN114048188 A CN 114048188A CN 202111351516 A CN202111351516 A CN 202111351516A CN 114048188 A CN114048188 A CN 114048188A
- Authority
- CN
- China
- Prior art keywords
- data
- task
- data migration
- module
- migration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G06F16/21—Design, administration or maintenance of databases
- G06F16/214—Database migration support
-
- 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
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a cross-database data migration system and a cross-database data migration method, wherein the cross-database data migration system comprises a data acquisition configuration management module, a data acquisition configuration management module and a data acquisition configuration management module, wherein the data acquisition configuration management module is used for receiving a model construction instruction to construct a data acquisition model for a source database which is connected; the data migration configuration module is connected with the data acquisition configuration management module and used for receiving a data migration instruction, configuring field mapping, constraint and dictionary items of the data acquisition model and the target library and obtaining a configuration result; the component configuration management module is connected with the data migration configuration module and used for receiving the configuration result sent by the data migration module to obtain a component; the task configuration management module is connected with the component configuration management module and used for receiving the data migration task and establishing the association between the task and the component; and the task execution module is connected with the task configuration management module and used for executing the data migration task according to the data migration task and the associated component. And data acquisition and migration among different databases are realized.
Description
Technical Field
The invention relates to the technical field of data migration, in particular to a cross-database data migration system and a cross-database data migration method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Since most of the previous system development is based on international databases, such as mysql, oracle, db2, sqlserver and other databases, many enterprises now expect that the system can be based on localization databases, such as dreams, people enter a warehouse, south general and the like, and data collection, data migration and data governance are needed for both old system modification and new system development.
Therefore, data migration and differential conversion between different databases are required, for example, mysql arrives at dream, oracle arrives at dream, and mysql arrives at dream, but at present, there is no efficient system for online automatic adaptation and conversion between different databases, which prevents the current data model from driving enterprise digital transformation data governance.
Disclosure of Invention
In order to solve the problems, the invention provides a cross-database data migration system and a cross-database data migration method, which realize dynamic multi-data source expansion, data modeling management and maintenance, data acquisition model management, data conversion and mapping, data migration and recall, and data analysis and audit.
In order to achieve the purpose, the invention adopts the following technical scheme:
a first aspect of the present invention provides a system for data migration across databases, comprising:
the data acquisition configuration management module is used for receiving a model construction instruction to construct a data acquisition model for the source library which is connected;
the data migration configuration module is connected with the data acquisition configuration management module and used for receiving a data migration instruction, configuring field mapping, constraint and dictionary items of the data acquisition model and the target library and obtaining a configuration result;
the component configuration management module is connected with the data migration configuration module and used for receiving the configuration result sent by the data migration module to obtain a component;
the task configuration management module is connected with the component configuration management module and used for receiving the data migration task and establishing the association between the task and the component;
and the task execution module is connected with the task configuration management module and used for executing the data migration task according to the data migration task and the associated component.
Further, the task execution module is configured to:
acquiring a data migration task;
if the task execution time point and the task execution period are not set in the data migration task, executing the data migration task according to the associated component after receiving the task execution command;
if the data migration task is provided with a task execution time point, executing the data migration task according to the associated component at the set task execution time point;
and if the data migration task is provided with a task execution period, executing the data migration task regularly according to the associated component and the set task execution period.
Further, the system also comprises a data migration execution module and a migration data export module;
the data migration execution module is connected with the data migration configuration module and used for acquiring a data migration execution instruction and migrating data in the source library to the target library based on a configuration result;
the migration data export module is connected with the data migration execution module and used for obtaining a migration data export instruction, exporting the migration data to the local and sending the migration data to the target server through the FTP and the message queue.
Furthermore, the data acquisition configuration management module realizes the construction of a data acquisition model in a table dragging mode, an sql script mode or a java script mode and supports the data query of various constraint conditions, multiple connection conditions and a multi-level composite structure.
Further, the system also comprises a data viewing module and a collected data exporting module;
the data viewing module is used for acquiring a data viewing instruction and outputting acquired data according to the data acquisition model;
the collected data export module is used for acquiring a data export instruction and exporting the collected data to the local.
Further, the system also comprises a database management module which is used for acquiring the database address and establishing connection with the database.
The system further comprises a data connection management module, which is used for acquiring database checking, modifying or deleting instructions and performing detailed information checking, modifying or deleting operation on the database with the established connection.
And the database table management module is used for acquiring database table operation instructions and operating the tables, the views and the virtual tables in the connected database.
And the task execution monitoring module is used for acquiring the execution result of the data migration task, and counting and displaying the number of success and failure of task execution, the success and failure rate and the task log.
A second aspect of the present invention provides a method of data migration across databases, comprising the steps of:
receiving a model construction instruction, and constructing a data acquisition model for the source library with the established connection;
receiving a data migration instruction, configuring field mapping, constraint and dictionary items of a data acquisition model and a target library to obtain a configuration result, and obtaining a component based on the configuration result;
receiving a data migration task and establishing association between the task and the component;
and executing the data migration task according to the data migration task and the associated component.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a data migration system across databases, which can form various constraint conditions, various connection conditions and a multi-level composite structure on a page in a manner of clicking a dragging table, realize the acquisition and migration of data through an automatic analysis engine internally provided with different databases, and get rid of the current situation that the acquired data needs to be edited manually by sql.
The invention provides a data migration system across databases, which supports real-time compiling development on java lines. For a table structure which is difficult to process and a relatively complex code logic, extra codes do not need to be developed in a background, and data can be acquired and migrated only by editing on a page according to prompts and compiling and executing in real time. The problem that logic codes need to be additionally developed in the current data migration is effectively solved, the codes on the line are compiled to take effect in real time, and the codes are called in real time, so that the traditional development mode of offline code compiling, compiling and deploying in the market at present is thoroughly changed. The problems that extra development codes are needed, efficiency is low, cost is high and the like in the current data migration are effectively solved.
The invention provides a cross-database data migration system, which adopts a B/S architecture, and compared with an ETL tool of a C/S architecture, the system performance is not limited by client hardware; secondly, the system adopts a high concurrency technology, and the hardware advantages of the server are greatly exerted, so that the system is higher in execution speed and higher in efficiency.
The invention provides a cross-database data migration system, which is suitable for various common application scenes, such as database replacement and data migration among different databases due to business requirements; data migration due to new and old system overlaps; data migration resulting from database data backup. The system supports not only migration of data, but also data export. The converted data may be exported to the local and target servers in the form of export files.
The invention provides a data migration system across databases, which can automatically select data acquisition types according to different application scenes. For example, different types of data migration with the same constraints can be achieved by modifying the parameters only through the placeholders, and without adding multiple configurations.
The invention provides a data migration system across databases, which supports timed task scheduling, and can automatically execute data migration according to configuration as long as the configuration finishes a starting task. Need not all manual execution at every turn, liberation both hands practice thrift the human cost, very big improvement work efficiency.
Drawings
The accompanying drawings, which form a part of the specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a system architecture diagram according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Without conflict, embodiments and features of the embodiments of the present invention may be combined with each other to further explain the present invention in conjunction with the figures and embodiments.
The first embodiment is as follows:
the first embodiment aims to provide a data migration system across databases, which includes a data connection module, a data acquisition module, a data migration module, an execution component module, a task management module, an operation overview module, and an operation monitoring module.
The data connection module is used for configuring data connection and can realize access to the database. The database can be an international database, such as MySQL, Oracle, and the like, and can also be a localization database of human big vault, south general, Dameng, and the like. The data connection module comprises a data connection list display module, a database management module, a data connection management module and a database table management module.
And the database management module is used for acquiring the database address filled or maintained by the user and establishing connection with the database.
The data connection list display module is used for displaying a list of existing data connections.
The data connection management module is used for acquiring database checking, modifying or deleting instructions and performing operations such as detailed information checking, modifying or deleting on the existing database establishing connection.
The database table management module is used for acquiring database table operation instructions and managing tables, views and virtual tables in the connected database. The table management refers to the operation of the table of the database connected with the current data connection, and comprises the functions of table data viewing, table adding, table editing and the like; the view management refers to the operation of views of a database connected with the current data connection, including the operations of view viewing, newly adding, editing and the like; the virtual table management means that the sql of the current data connection executable can be stored as a virtual table, the function is similar to a view, but a view is not generated in a database, and the function can realize the operations of editing, modifying, deleting and the like of the virtual table.
The data acquisition module is used for realizing data acquisition configuration of the database and is preparation work before data migration; the data acquisition module supports three acquisition modes of table dragging, sql script and java script; the data acquisition module comprises a data acquisition list display module, a data acquisition management module, a data acquisition configuration management module, a data viewing module and an acquired data export module.
The data acquisition list display module is used for displaying the information list of the existing data acquisition.
The data acquisition management module is used for operations of adding, modifying, editing, deleting and the like of data acquisition.
The data acquisition configuration management module is used for receiving a model construction instruction, constructing a data acquisition model for the connected source library, and carrying out operations such as constraint, data structure adjustment and the like on data acquired by different source libraries. And the data acquisition configuration management module realizes the construction of a data acquisition model in a table dragging mode, an sql script mode or a java script mode. The method comprises the following steps that a user drags a table on a display interface, a data acquisition configuration management module obtains a user dragging instruction, a complex table connection relation model is formed according to a user-defined constraint condition, data acquisition is achieved, specifically, sql does not need to be manually input, the table and the table can be connected, the sql can be dynamically spliced through simple operation of dragging the table by a mouse, and then follow-up operations such as data query and the like are completed; the Sql script mode is specifically that data acquisition can be configured in a mode of inputting an Sql script by a user, corresponding Sql is executed to realize data acquisition, Sql script compiling can support not only manual input of the Sql, but also configuration of the Sql of placeholders of different types of data, and when data migration is executed, data screening can be realized according to dynamic input values of requirements; the Java script mode is specifically that when the table is dragged and the sql script is not satisfied, for example, the table structures of the source and the target library are different, data migration cannot be realized only through sql, or complex logic needs to be processed, user Java script compiling and configuration data acquisition can be used, the Java script supports no-stop online coding of a browser, real-time compiling and execution are performed, the Java script is suitable for more complex application scenarios, and complex processing can be performed on data to meet the requirement of data migration. The data acquisition configuration management module supports data query of various constraint conditions, multi-connection conditions and multi-hierarchy composite structures. It should be noted that the collected data is not adapted, cleaned, and processed, and the main function is to generate a file from the collected original data or preview the source data before migration execution (to verify whether the data is correct so as to modify the source data model definition).
The data viewing module is used for acquiring a data viewing instruction, the data viewing instruction can be obtained by clicking a user button, the acquired data can be output according to the data acquisition model, and the integrity of the data to be acquired is verified.
The collected data export module is used for acquiring a data export instruction, the data export instruction can be obtained by clicking a user button, and the collected data is exported to the local.
And the data migration module can realize data migration from the source library to the target library through associated data acquisition. The data migration module comprises a data migration list display module, a data migration management module, a data migration configuration module, a data migration execution module, a migration data export module and a data migration log module.
And the data migration list display module is used for displaying the existing data migration list.
The data migration management module is used for operations of adding, modifying, deleting and the like of data migration;
the data migration configuration module is used for connecting the data acquisition configuration management module, receiving a data migration instruction, selecting a data acquisition model, designating a source database and a target database, and configuring field mapping, constraint and dictionary items of the data acquisition model and the target database to obtain a configuration result;
the data migration adaptation module comprises a data migration adaptation module and a dictionary management module, the data migration adaptation module is used for configuring field mapping, constraint and the like of data acquisition and a target database, and the data migration adaptation module mainly comprises two modes, namely 1) same-name and same-type automatic matching and 2) different-name and different-type manual appointed adaptation. Data migration can be executed after configuration is completed; the dictionary management module is used for configuring dictionary items and can be used for converting data migration fields, such as 0-female and 1-male;
the data migration execution module is used for connecting the data migration configuration module and the data migration adaptation module, and is used for acquiring a data migration execution instruction and migrating data in the source library to the target library based on a configuration result; the migration data export module is used for being connected with the data migration execution module and used for obtaining a migration data export instruction, exporting the migration data to the local and sending the migration data to the target server through the FTP and the message queue.
The data migration log module is used for logging each time migration is executed, and performing operations such as reissuing on failed data.
The execution component module comprises an execution component list display module, a component management module and a component configuration management module.
And the execution component list display module is used for displaying the existing component information list.
The component management module is used for operations of adding, modifying, deleting and the like of the components;
the component configuration management module is connected with the data migration configuration module and used for receiving the configuration result sent by the data migration module to obtain a component; the assembly comprises: 1) source database to target database, 2) source data to local server, 3) source data to target server. The component configuration management module is used for configuring preparation work before component associated data migration and task configuration.
The task management module comprises a task management list display module, a task management module, a task configuration management module and a task execution module.
And the task management list display module is used for displaying the existing task information list.
The task management module is used for operations of adding, modifying, deleting and the like of tasks.
The task configuration management module is connected with the component configuration management module and used for receiving the data migration task and establishing the association between the task and the component; the task configuration management module configures the task association execution component, and can realize control on data migration, so that automatic execution and migration of the timed task can be realized.
And the task execution module is connected with the task configuration management module and is used for executing the data migration task according to the data migration task and the associated component. There are three execution modes for task execution: manual, periodic and periodic execution; manually executing: if the task execution time point and the task execution period are not set in the data migration task, a user can manually operate the task on a system interface, click a task execution button, and execute the data migration task according to the associated component after receiving a task execution command of the user to realize data migration; the regular tasks can display the timed migration of the data, if the data migration tasks are provided with task execution time points, the data migration is executed at fixed time according to the configured time, namely, the data migration tasks are executed according to the associated components at the set task execution time points; the periodic execution can realize the execution of data migration according to a certain periodic rule, and if a task execution period is set in the data migration task, the data migration task is executed periodically according to the associated component and the set task execution period.
The operation overview module comprises a task overview module and a task execution monitoring module; the task overview module is used for counting and displaying data such as the number of tasks, the number of start-up and shut-down tasks and the like; and the task execution monitoring module is used for counting and displaying the number of success and failure of task execution, the success and failure rate and the task log.
The operation monitoring module comprises a monitoring log list display module and a log positioning module.
The monitoring log list display module is used for displaying a log information list; the log positioning module is used for tracking and positioning the success log and the failure log through the log positioning module, and can operate the logs according to actual scenes.
As shown in fig. 1, a data migration system across databases of the present embodiment employs a B/S architecture, which specifically includes:
data source layer: the universal access of various data sources including mysql, mssql, db2, oracle, dreams, treasury and southern university of the main stream in the market is supported, and a service address can be added in real time through a browser so as to establish a new data connection channel.
A data asset management layer comprising:
basic data management: the method comprises the steps of maintaining a table structure, maintaining view, maintaining a virtual table, managing an E-R model and maintaining table data;
data acquisition model configuration: the types and ranges of the collected data are configured in three ways: 1) creating a data model and model dragging association 2) compiling SQL scripts 3) compiling JAVA codes through a browser under the condition of no shutdown, and enabling the JAVA codes to take effect in real time and be called in real time;
data migration: the data migration is carried out in a one-to-one, one-to-many and many-to-many mode among different databases, and compatible adaptation of types, names and the like between an internationalized database and a domestic database is supported;
task scheduling: the method comprises a multi-task parallel timing extraction service, a periodic cycle task, and a task overview analysis task execution condition such as execution times, success rate, failure rate and the like. The component configuration can realize the migration between databases, extract data to a local server, extract data to a target server and the like.
Data monitoring: log tracking for data acquisition, data adaptation, data migration, task scheduling, problem analysis, error remediation, data recall, and the like.
A data application layer: interface APIs providing different protocols (e.g., Restful, Webservice, Kafka) provide data services (e.g., data retrieval, data visualization report analysis, BI, data analysis recommendations, content management systems, information management systems).
A data access layer: and the B/S framework is accessed and operated through a browser and a mobile phone APP.
Example two:
a second objective of the present embodiment is to provide a data migration method across databases, as shown in fig. 2, including the following steps:
newly establishing data connection: both the source and target databases need to be created at this point.
Configuration data acquisition: the associated data connection is used as a source database for configuring data acquisition. And receiving a data acquisition instruction, and acquiring data of the source library.
And (3) configuration data migration: and (4) data migration is configured for associated data acquisition, and all preparation work before migration is completed. And receiving a data migration instruction, configuring field mapping, constraint and dictionary items of the acquired data and the target library to obtain a configuration result, and obtaining the component based on the configuration result.
And (3) executing migration: receiving a data migration task and establishing association between the task and the component; and executing the data migration task according to the data migration task and the associated component.
The migration is executed in two ways, namely, manually executing the migration on a data migration page; and secondly, the timing task is automatically executed through configuration.
(1) And manually executing to realize single transmission of data.
(2) And performing timed execution, wherein the timed task is configured to perform data migration. Building a new component, wherein the newly built component is associated with data migration and becomes a bridge for task and connection data migration; and (4) newly building a task, namely associating the time task with the data connection by using the newly built task association component. The migration of data is achieved by initiating a task.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. A system for data migration across databases, comprising: the method comprises the following steps:
the data acquisition configuration management module is used for receiving a model construction instruction to construct a data acquisition model for the source library which is connected;
the data migration configuration module is connected with the data acquisition configuration management module and used for receiving a data migration instruction, configuring field mapping, constraint and dictionary items of the data acquisition model and the target library and obtaining a configuration result;
the component configuration management module is connected with the data migration configuration module and used for receiving the configuration result sent by the data migration module to obtain a component;
the task configuration management module is connected with the component configuration management module and used for receiving the data migration task and establishing the association between the task and the component;
and the task execution module is connected with the task configuration management module and used for executing the data migration task according to the data migration task and the associated component.
2. A system for data migration across databases as claimed in claim 1, wherein: the task execution module is configured to:
acquiring a data migration task;
if the task execution time point and the task execution period are not set in the data migration task, executing the data migration task according to the associated component after receiving the task execution command;
if the data migration task is provided with a task execution time point, executing the data migration task according to the associated component at the set task execution time point;
and if the data migration task is provided with a task execution period, executing the data migration task regularly according to the associated component and the set task execution period.
3. A system for data migration across databases as claimed in claim 1, wherein: the system also comprises a data migration execution module and a migration data export module;
the data migration execution module is connected with the data migration configuration module and used for acquiring a data migration execution instruction and migrating data in the source library to the target library based on a configuration result;
the migration data export module is connected with the data migration execution module and used for obtaining a migration data export instruction, exporting the migration data to the local and sending the migration data to the target server through the FTP and the message queue.
4. A system for data migration across databases as claimed in claim 1, wherein: the data acquisition configuration management module realizes the construction of a data acquisition model in a table dragging mode, an sql script mode or a java script mode and supports the data query of various constraint conditions, multi-connection conditions and multi-level composite structures.
5. A system for data migration across databases as claimed in claim 1, wherein: the device also comprises a data viewing module and a collected data exporting module;
the data viewing module is used for acquiring a data viewing instruction and outputting acquired data according to the data acquisition model;
the collected data export module is used for acquiring a data export instruction and exporting the collected data to the local.
6. A system for data migration across databases as claimed in claim 1, wherein: the system also comprises a database management module used for acquiring the database address and establishing connection with the database.
7. A system for data migration across databases as claimed in claim 1, wherein: the system also comprises a data connection management module which is used for acquiring database checking, modifying or deleting instructions and carrying out detailed information checking, modifying or deleting operation on the database which is connected.
8. A system for data migration across databases as claimed in claim 1, wherein: the database table management module is used for acquiring database table operation instructions and operating tables, views and virtual tables in the connected database.
9. A system for data migration across databases as claimed in claim 1, wherein: the system also comprises a task execution monitoring module which is used for acquiring the execution result of the data migration task, and counting and displaying the number of success and failure of task execution, the success and failure rate and the task log.
10. A data migration method across databases is characterized in that: the method comprises the following steps:
receiving a model construction instruction, and constructing a data acquisition model for the source library with the established connection;
receiving a data migration instruction, configuring field mapping, constraint and dictionary items of a data acquisition model and a target library to obtain a configuration result, and obtaining a component based on the configuration result;
receiving a data migration task and establishing association between the task and the component;
and executing the data migration task according to the data migration task and the associated component.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111351516.7A CN114048188A (en) | 2021-11-16 | 2021-11-16 | Cross-database data migration system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111351516.7A CN114048188A (en) | 2021-11-16 | 2021-11-16 | Cross-database data migration system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114048188A true CN114048188A (en) | 2022-02-15 |
Family
ID=80209646
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111351516.7A Pending CN114048188A (en) | 2021-11-16 | 2021-11-16 | Cross-database data migration system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114048188A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115185930A (en) * | 2022-09-13 | 2022-10-14 | 中国人寿保险股份有限公司上海数据中心 | IT monitoring system migration method |
| CN116339822A (en) * | 2023-05-29 | 2023-06-27 | 安元科技股份有限公司 | Method for simplifying migration of data docking task |
-
2021
- 2021-11-16 CN CN202111351516.7A patent/CN114048188A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115185930A (en) * | 2022-09-13 | 2022-10-14 | 中国人寿保险股份有限公司上海数据中心 | IT monitoring system migration method |
| CN115185930B (en) * | 2022-09-13 | 2022-12-06 | 中国人寿保险股份有限公司上海数据中心 | IT monitoring system migration method |
| CN116339822A (en) * | 2023-05-29 | 2023-06-27 | 安元科技股份有限公司 | Method for simplifying migration of data docking task |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102375731B (en) | Coding-free integrated application platform system | |
| US8572575B2 (en) | Debugging a map reduce application on a cluster | |
| CN114048188A (en) | Cross-database data migration system and method | |
| CN112579625A (en) | Multi-source heterogeneous data treatment method and device | |
| US20090287643A1 (en) | Context based script generation | |
| CN111324610A (en) | Data synchronization method and device | |
| CN112347071B (en) | Power distribution network cloud platform data fusion method and power distribution network cloud platform | |
| CN101477485B (en) | MySQL database remote backup and reduction method based on ASP.net | |
| US20220245168A1 (en) | Generation and graphical display of data transform provenance metadata | |
| CN113741883B (en) | RPA lightweight data middling station system | |
| CN110442620A (en) | A kind of big data is explored and cognitive approach, device, equipment and computer storage medium | |
| Thanekar et al. | Big Data and MapReduce Challenges, Opportunities and Trends. | |
| CN114036183A (en) | Data ETL processing method, device, equipment and medium | |
| Cai et al. | A pattern-based code transformation approach for cloud application migration | |
| CN115480810A (en) | Low-code platform based on cloud protogenesis | |
| CN114066394A (en) | Implementation method of multi-tenant workflow engine and multi-tenant workflow engine system | |
| Ivanov et al. | A hot decomposition procedure: Operational monolith system to microservices | |
| CN112882696B (en) | Full-element model training system based on supercomputer | |
| CN116011943A (en) | Robot automation flow service system, method and medium based on low codes | |
| CN102393820A (en) | Logical implementation method for controlling building monitoring system | |
| CN104731900A (en) | Hive scheduling method and device | |
| CN114676152A (en) | Work order management method and device and electronic equipment | |
| CN111369116A (en) | Project early-stage and project early-stage management system based on visualization technology | |
| CN114168110B (en) | Application development transaction management system and method for lightweight class Hongmon operating system | |
| CN114218114B (en) | Full-automatic test data generation method based on interface flow arrangement |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |