Scanning for Incremental Metadata

Prerequisites

• A source connection has been created.
• Target connections have been created.
• At least a full metadata migration has been completed.

Preparations

• Gain whitelist access to the Spark 3.3.1 feature.

  Contact technical support to whitelist you to use the Spark 3.3.1 feature.

• Configure a DLI job bucket.

  You need to purchase a bucket or parallel file system on OBS. The bucket is used to store temporary data generated by DLI. For details, see Configuring a DLI Job Bucket.

Procedure

1. Sign in to the MgC console.
2. In the navigation pane on the left, choose Migrate > Big Data Migration. In the upper left corner of the page, select the migration project created in Preparations.
3. In the upper right corner of the page, click Create Migration Task.

   

4. Select MaxCompute for Source Component, Data Lake Insight (DLI) for Target Component, Incremental metadata scan for Task Type, and click Next.

   

5. Configure parameters required for creating an incremental metadata scan based on Table 1.

   Table 1 Parameters required for creating an incremental metadata scan

   Area	Parameter	Configuration
   Basic Settings	Task Name	The default name is Incremental-data-scan-of-MaxCompute-and-DLI-4 random characters (including letters and numbers). You can also customize a name.
   	Edge Device	Select the Edge device you connected to MgC in Preparations.
   Source Settings	Source Connection	Select the source connection you created.
   	MaxCompute Parameters	The parameters are optional and usually left blank. If needed, you can configure the parameters by referring to MaxCompute Documentation.
   Migration Scope	By database	Enter the names of databases (projects) to be migrated in the Include Databases text box. If there are tables you do not want to migrate, download the template in CSV format, add information about these tables to the template, and upload the template to MgC. For details, see steps 2 to 5.
   	By table	Download the template in CSV format. Open the downloaded CSV template file with Notepad. CAUTION: Do not use Excel to edit the CSV template file. The template file edited and saved in Excel cannot be identified by MgC. Retain the first line in the CSV template file. From the second line onwards, enter the information about tables to be migrated in each line in the format of {MaxComute project name},{Table name}. MaxComute project name refers to the name of the MaxCompute project to be migrated. Table name refers to the data table to be migrated. NOTICE: Use commas (,) to separate the MaxCompute project name and the table name in each line. Do not use spaces or other separators. After adding the information about a table, press Enter to start a new line. After all table information is added, save the changes to the CSV file. Upload the edited and saved CSV file to MgC.
   Target Settings	Target Connection	Select the DLI connection with a SQL queue created in Creating a Target Connection. CAUTION: Do not select the connection with a general queue configured.
   	Custom Parameters	Configure the parameters as needed. For details, see Configuration parameter description and Custom Parameters.
   Migration Settings	Concurrency	Set the number of concurrent migration subtasks. The default value is 3. The value ranges from 1 to 10.

6. After the configuration is complete, execute the task.
   

   • A migration task can be executed repeatedly. Each time a migration task is executed, a task execution is generated.
   • You can click the task name to modify the task configuration.
   • You can select Run immediately and click Save to create the task and execute it immediately. You can view the created task on the Tasks page.

     

   • You can also click Save to just create the task. You can view the created task on the Tasks page. To execute the task, click Execute in the Operation column.

     

7. After the migration task is executed, click View Executions in the Operation column. On the displayed Task Executions tab page, you can view the details of the running task execution and all historical executions.

   

   Click View in the Progress column. On the displayed Progress Details page, you can view the scan results and the list of incremental data tables extracted from the metadata.

   

   

8. In the upper right corner of the progress details page, click Open DDL Editor to compare and edit the structures of incremental tables.