Oracle Migration Synchronization to Hive

NineData data replication supports data synchronization from Oracle to Hive data sources, supporting both structure and full data.

Feature Introduction

NineData data replication supports high-performance replication of structure, full data, and incremental data between data sources. For MySQL data sources, it also provides bidirectional replication, enabling the quick construction of geo-distributed active-active business architectures.

• Structure: Supports the replication of object structures between homogeneous and heterogeneous data sources, greatly reducing the barrier to data replication between two sources.
• Full Data: Achieves row-level concurrent batch replication through intelligent data sharding, effectively ensuring replication performance. The independently developed novel breakpoint resume technology ensures the accuracy of data in tables without primary keys.
• Incremental Data: Supports incremental data replication of full object types DML|DDL, combined with transaction-level concurrency, hotspot merging, and other technologies to provide robust replication performance while ensuring transaction consistency.
• Bidirectional Real-time Data Replication (only between MySQL instances): Direct bidirectional replication of data between multiple nodes ensures that all node data remains up-to-date.

With the above features, it is easy and efficient to achieve scenarios such as full|incremental data replication, full|incremental data migration, full|incremental data synchronization, data integration, and seamless migration without downtime, providing enterprises with flexible and reliable data replication solutions.

Prerequisites

• The source and target data sources have been added to NineData. For instructions on how to add them, please refer to Adding Data Sources.

• The source data source is Oracle, with a version of 23ai, 21c, 19c, 18c, 12c, or 11g.

• The target data source is Hive.

• You must have the following permissions for both the source and target data sources:

  Replication Type	Source Data Source	Target Data Source
  Structure Replication	select connect select any dictionary select any table select_catalog_role	HDFS file upload and cleanup permissions
  Full Replication	select connect select any dictionary select any table select_catalog_role	HDFS file upload and cleanup permissions

• If the source and target data sources are registered with NineData in different regions, you also need to add the IP addresses of the respective NineData servers to each other's data source whitelist. You can view the IP addresses of both when creating a replication task, on the node page.

Usage Limitations

• Before performing data synchronization, it is necessary to assess the performance of the source and target data sources, and it is recommended to perform data synchronization during off-peak business hours. Otherwise, the initial full data synchronization will occupy a certain amount of read and write resources of the source and target data sources, leading to increased database load.
• It is necessary to ensure that each table in the synchronization object has a primary key or unique constraint, and the column names are unique, otherwise, the same data may be synchronized repeatedly.

Operation Steps

Commercialization Notice

NineData’s data replication product has been commercialized. You can still use 10 replication tasks for free, with the following considerations:

• Among the 10 replication tasks, you can include 1 task, with a specification of Micro.

• Tasks with a status of do not count towards the 10-task limit. If you have already created 10 replication tasks and want to create more, you can terminate previous replication tasks and then create new ones.

• When creating replication tasks, you can only select the you have purchased. Specifications that have not been purchased will be grayed out and cannot be selected. If you need to purchase additional specifications, please contact us through the customer service icon at the bottom right of the page.

1. Log in to the NineData console.

2. Click on in the left navigation pane.

3. On the page, click on the button in the upper right corner.

4. On the tab, configure according to the table below, and click .

   Parameter	Description
   	Enter the name of the data synchronization task. For easy retrieval and management later, please use a meaningful name. Up to 64 characters are supported.
   	The data source where the synchronization object resides.
   	The data source that receives the synchronized object.
   	Choose the content to be copied to the target data source. : Only synchronize the database table structure of the source data source, without synchronizing data. : Synchronize all objects and data of the source data source, i.e., full data replication. The switch on the right side is for periodic full replication. For more information, please refer to Periodic Full Replication.
   (Select when is selected)	: Stop the task when a table with the same name is detected during the pre-check stage. : When a table with the same name is detected during the pre-check stage, a prompt is sent, and the task continues. During structural replication, ignore this table with the same name. If you are also performing data replication, the data will be appended to the table with the same name without overwriting the existing data. : When a table with the same name is detected during the pre-check stage, a prompt is sent, and the task continues. During structural replication, the table with the same name in the target database is deleted, and the table structure is re-copied based on the source database. If you are also performing data replication, the data will be written after the table structure replication is completed. (Optional when performing both structural and data replication): When a table with the same name is detected during the pre-check stage, a prompt is sent, and the task continues. During structural replication, the table structure in the target database is retained, and the data in the table with the same name is cleared when data replication starts, then copied again from the original table.
   (Select when is not selected)	: Stop the task when data exists in the target table during the pre-check stage. : When data exists in the target table during the pre-check stage, ignore this part of the data and append other data. : When data exists in the target table during the pre-check stage, delete this part of the data and rewrite it.

5. On the tab, configure the following parameters, then click .

   Parameter	Description
   	Choose the content to be copied. You can choose to copy all contents of the source database, or . In the list, select the content you want to copy, and click > to add it to the list on the right.

   If you need to create multiple identical replication links, you can create a configuration file and import it when creating a new task. Click at the top right corner, then click Download Template to download the configuration file template to your local machine. After editing, click to upload the configuration file for batch import.

   Parameter	Description
   source_table_name	Name of the source table containing the objects to be synchronized.
   destination_table_name	Name of the target table receiving the synchronized objects.
   source_schema_name	Name of the source schema containing the objects to be synchronized.
   destination_schema_name	Name of the target schema receiving the synchronized objects.
   source_database_name	Name of the source database containing the objects to be synchronized.
   target_database_name	Name of the target database receiving the synchronized objects.
   column_list	List of columns to be synchronized.
   extra_configuration	Additional configuration information, where you can configure the following: Column Mapping: column_name, destination_column_name Column Value: column_value Data Filtering: filter_condition

   tip

   • An example of the extra_configuration content is as follows:

     {
         "column_name": "created_time", // Original column name to be mapped
         "destination_column_name": "migrated_time", // Target column name mapped to "migrated_time"
         "column_value": "current_timestamp()", // Change the column value to the current timestamp
         "filter_condition": "id != 0" // Only synchronize rows where ID is not 0.
     }

   • For a complete example of the configuration file, refer to the downloaded template.

6. On the tab, select different operations based on the selected replication type, then click . If there are updates in the source and target data sources during the configuration mapping stage, you can click the button in the upper right corner of the page to retrieve the information of the source and target data sources again.

   • Includes : Configure the table name after synchronization to the target data source.

   • Excludes : The system automatically selects the same-name database in the target data source. If it does not exist, you need to manually select the target database. The table names and column names in the target database need to be consistent with the synchronization objects. If they are not consistent, you can manually map the table names and column names.

   You can click on on the right side of the page to customize the name of the columns after synchronization to the target data source. In addition, you can set to configure filter conditions through comparison expressions. Only data that meets the filter conditions will be synchronized to the target data source. For example, setting the filter condition to emp_no>=10005 means that data with emp_no less than 10005 will not be synchronized to the target data source.

7. On the tab, wait for the system to complete the pre-check. After the pre-check passes, click .

   tip

   • You can check . After the synchronization task is completed, automatically start data consistency comparison based on the source data source to ensure consistency of data on both ends. Depending on your selection of , the timing of starting is as follows:
     • : Start after structural replication is completed.
     • + , : Start after full replication is completed.
   • If the pre-check fails, you need to click on the right side of the target check item in the column, troubleshoot the reason for the failure, manually fix it, then click to re-perform the pre-check until it passes.
   • For check items with as , you can repair or ignore them according to the specific situation.

8. On the page, when prompted with , the synchronization task starts running. At this point, you can:

   • Click to view the execution status of each stage of the synchronization task.
   • Click to return to the task list page.

View Synchronization Results

1. Log in to the NineData console.

2. Click on > in the left navigation pane.

3. On the page, click on the of the target synchronization task, and the page description is as follows.

   

   Number	Function	Description
   1	Configure Alerts	After configuring alerts, the system will notify you in the selected way when the task fails. For more information, please refer to Operational Monitoring Overview.
   2	More	: Pause the task. Only tasks with the status Running are selectable. : Create a new replication task with the same configuration as the current task. : End tasks that are incomplete or in listening (i.e., in incremental synchronization). After terminating the task, it cannot be restarted, so please proceed with caution. If triggers are included in the synchronization object, trigger replication options will pop up, please choose as needed. : Delete the task. Once the task is deleted, it cannot be recovered, so please proceed with caution.
   3	Structural Replication (Displayed in scenarios involving structural replication)	Display the progress and details of structural replication. Click on on the right side of the page: View the execution log of structural replication. Click on on the right side of the page: View the latest information. Click on in the column on the right side of the target object in the list: View SQL playback.
   4	Full Replication (Displayed in scenarios involving full replication)	Display the progress and details of full replication. Click on on the right side of the page: View various monitoring indicators during full replication. During full replication, you can also click on on the right side of the monitoring indicator page to limit the rate of data written to the target data source per second. The unit is rows/second. Click on on the right side of the page: View the execution log of full replication. Click on on the right side of the page: View the latest information.
   5	Data Comparison	Display the comparison results between the source data source and the target data source. If you have not enabled data comparison, click on the page. Click on on the right side of the page: Re-initiate the comparison of data between the current source and target ends. Click on on the right side of the page: After starting the comparison task, you can click this button to stop the comparison task immediately. Click on on the right side of the page: View the execution log of consistency comparison. Click on (only displayed in data comparison): View the trend chart of RPS (records per second compared) for comparison. Click on to view records from earlier times. Click on in the column on the right side of the comparison list (displayed only under the tab when there is inconsistency): View detailed comparison between the source and target ends. Click on in the column on the right side of the comparison list (displayed only in case of inconsistency): Generate change SQL, which you can directly copy to the target data source to execute and modify the inconsistent content.
   6	Expand	Display detailed information of the current replication task. Common Options: : Export the current task's database and table configuration, allowing for quick import when creating a new replication task. This helps rapidly establish multiple replication links with the same replication objects. : Configure the alarm strategy for the current task.

Related Documentation

Introduction to Data Replication