This topic describes the features that are supported for common users in Data Management (DMS).
Operations in the DMS console
- Log on to the DMS console. Submit tickets to apply for permissions on the instance, the database, and the table that you want to manage. For more information, see Permission management.
- After your tickets are approved, go to the SQLConsole of the database. In the code editor, write an SQL statement and click Execute. The returned data is displayed as a table below the code editor. You can edit the returned data in the table. For more information, see Data query and Cross-database query.
- Submit tickets to perform operations on data, such as change, import, or export operations. For more information, see Common data change and Data export.
Features that are supported for common users
|Permissions||Permission management||You can apply for permissions on instances, databases, tables, and sensitive fields. You can also view permissions that you have.|
|SQLConsole||Single database query||You can write SQL statements to query data in a single database. This feature can be used to verify business code, analyze product effects, and identify issues in an online environment.|
|Cross-database query||You can perform join queries across online heterogeneous data sources that are deployed in different environments.|
|Schemas||Schema design||When you develop or optimize a project or process a new business requirement, you often need to change schemas. For example, you can use this feature when you create a table or modify an existing table.|
|Database and table synchronization||You can use this feature to compare and synchronize the schemas of tables that are stored in different environments, such as online and offline environments. This feature helps ensure the consistency of schemas.|
|Optimization||SQL review||You can use this feature to avoid publishing SQL statements that do not use indexes or do not conform to database development standards. This feature helps protect against SQL injection attacks.|
|Data plans||Data changes||You can submit data change tickets to initialize data for a newly published project, clean up historical data, fix bugs, or run a test.|
|Data import||You can submit data import tickets to import a large amount of data to your databases at a time.|
|Data export||You can submit data export tickets to extract a large amount of data for analysis.|
|Data tracking||If specific data fails to meet your requirement due to reasons such as misoperation, you can use this feature to trace historical data changes. Then, you can execute rollback statements to restore data to the normal state.|
|Test data generation||Some business scenarios may require you to frequently prepare data. In this case, you can generate test data to ensure data security and discreteness and improve production efficiency.|
|Data warehouse development||DMS uses databases as the main computing engine and integrates various tools and services in the database ecosystem, such as Data Transmission Service (DTS) and Data Lake Analytics (DLA), for data warehouse development. Therefore, you can develop and manage data warehouses in DMS.|
|Data service||You can use this feature to export data at the field or row level, display data in a visualized manner, and publish API operations to Alibaba Cloud Marketplace for sale.|
|Database cloning||You can use this feature to clone MySQL databases.|
|Tickets||Ticket management||You can use this feature to configure notifications about the approval or execution status of tickets. This way, DMS can send you notifications by DingTalk or email.|