Overview
Loading data into the read-only analysis engine involves two different phases. The first is a full data loading phase and the second is a real-time data loading phase. When data is loaded into the read-only analysis engine, data queries can be performed only after the data object is built. You can use the following methods to view the status of the data table loading.
Prerequisites
You have prepared a cluster in the provisioned resource instance mode. See Creating Cluster. The cluster is in the running status.
Directions
Method 1: Viewing the Data Loading Status in the Console
1. Log in to the TDSQL-C MySQL console and click the target cluster in the cluster list on the left to enter the cluster management page. 2. On the cluster details page, locate the read-only analysis engine instance for which you need to modify the loaded objects, and then click Details to enter the details page of the read-only analysis engine instance.
3. On the details page of the read-only analysis engine instance, you can view the object information including the data loading status.
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Database name | Indicates the name of the database to which this object belongs. |
Object name | Indicates the name of this table. |
Status | The statuses include data loading, real-time increment, and synchronization exception. |
Data loading status | If the object is in the process of data loading, the loading progress of the current table is shown in the data loading status. |
Incremental phase latency | If the object is in the process of real-time increment, the synchronization delay information of this object is shown. |
Other information | If an exception occurs in data loading, the relevant information about the loading exception of this object is shown in other information. |
Method 2: Viewing the Data Loading Status through SQL Statements
select * from information_schema.libra_table_status;
In the read-only analysis engine, you can view the status of all data objects currently in the loading process by executing this command. It supports filtering with a WHERE condition.
The displayed field information is as shown in the figure below:
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