Create a project to synchronize data from an OceanBase database to a DataHub instance

This topic describes how to synchronize data from a MySQL or Oracle tenant of OceanBase Database to a DataHub instance.

Limits

• In the full synchronization scenario, leaderless key tables cannot be synchronized.

• The DDL operations for synchronization apply only to Blob topics.

• During data synchronization, OMS allows you to delete a table and then create a new one. In other words, you can first perform the drop table a operation and then the create table a_tmp operation without affecting the project. OMS does not allow you to create a table by renaming an existing table. After you perform the rename table a to a_tmp operation, the project cannot be carried out.

• When data transfer is resumed on a link, some data within the last minute may be duplicated in the DataHub instance, and deduplication is required in downstream systems.

• OMS supports synchronization of data of the UTF8 and GBK character sets.

• The name of a table to be synchronized, as well as the names of columns in the table, must not contain Chinese characters.

DataHub has the following limits:

• DataHub limits the size of a message based on the cloud environment, usually to 1 MB.

• DataHub sends messages in batches, with each batch sized no more than 4 MB. If a single message meets the conditions for sending, you can modify the batch.size parameter at the connector sink. By default, 20 messages are sent at a time within one second.

• For more information about the limits and naming conventions of DataHub, see Limits of DataHub.

When you synchronize incremental data from an OceanBase database to a DataHub instance, the MySQL schema is synchronized to the DataHub schema and then initialized. The following table lists data types supported by DataHub.

Notice

The following table applies only to tuple topics.

Supported DDL operations for synchronization

Notice

The DDL operations for synchronization apply only to Blob topics.

• ALTER TABLE

• CREATE INDEX

• DROP INDEX

• TRUNCATE

Data type mappings

At present, a project that synchronizes data to a DataHub instance supports only the following data types: INTEGER, BIGINT, TIMESTAMP, FLOAT, DOUBLE, DECIMAL, STRING, and BOOLEAN.

• If you create a topic of another type when you set topic mapping, the data synchronization will fail.

• The following table describes the default mapping rules, which are the most appropriate. If you change the mapping, an error may occur.

Data type mappings between MySQL tenants of OceanBase Database and DataHub instances

Data type mapping between an Oracle tenant of OceanBase Database and a DataHub database

Supplemental properties

If you manually create a topic, add the following properties to the DataHub schema before you start a data synchronization project. If OMS automatically creates a topic and synchronizes the schema, OMS automatically adds the following properties.

Notice

The following table applies only to tuple topics.

Procedure

1. Create a data synchronization project.

   1. Log on to the OMS console.

   2. In the left-side navigation pane, click Data Synchronization.

   3. On the Data Synchronization page, click Create Synchronization Project in the upper-right corner.

2. On the Select Source and Destination page, configure the parameters.

   Parameter	Description
   Synchronization Project Name	We recommend that you set it to a combination of Chinese characters, digits, and letters. It must not contain any spaces and cannot exceed 64 characters in length.
   Label	Click the field and select the target tag from the drop-down list. You can click Manage Tags to create, modify, and delete tags. For more information, see Manage data synchronization projects by using tags.
   Source	If you have created a physical OceanBase data source, select it from the drop-down list. If you have not created a data source, click Create Data Source in the drop-down list and create a data source in the dialog box that appears on the right. For more information, see Create a physical OceanBase data source.
   Destination	If you have created a DataHub data source, select it from the drop-down list. If you have not created a data source, click Create Data Source in the drop-down list and create a data source in the dialog box that appears on the right. For more information, see Create a DataHub data source.

3. Click Next. On the Select Synchronization Type page, specify Synchronization Type and Configuration for the current data synchronization project.

   Options for Synchronization Type and Configuration are Schema Synchronization, Full Synchronization, and Incremental Synchronization. Schema synchronization creates a topic. Options for Incremental Synchronization are DML Synchronization and DDL Synchronization.

   • Options for DML Synchronization are Insert, Delete, and Update. By default, all of them are selected.

   • DDL Synchronization can be selected only for Blob topics.

4. (Optional) Click Next.

   If the source database is an OceanBase database, you must configure the obconfig_url parameter, username, and password for incremental synchronization.

   If you have selected Incremental Synchronization without configuring the required parameters for the source database, the More About Data Sources dialog box appears to prompt you to configure the parameters. For more information, see Create a physical OceanBase data source.

   After you configure the parameters, click Test Connectivity. After the test succeeds, click Save.

5. Click Next. On the Select Synchronization Objects page, select the type and range of topics to be synchronized.

   Available topic types are Tuple and Blob. Tuple topics contain records that are similar to data records in databases. Each record contains multiple columns. You can only write a block of binary data as a record to a Blob topic. The data are Base64 encoded for transmission. For more information, visit the documentation center of DataHub.

   Select the type of topics to be synchronized and perform the following steps:

   1. In the left-side pane, select the objects to be synchronized.

   2. Click >.

   3. Select a mapping method.

      • To synchronize a single table, select the mapping method as needed in the Map Object to Topic dialog box and click OK.

        If you do not select Schema Synchronization when you set the synchronization type and configuration, you can select only Existing Topics here. If you have selected Schema Synchronization when you set the synchronization type and configuration, you can select only one mapping method to create or select a topic.

        For example, if you have selected Schema Synchronization, when you use both the Create Topic and Select Topic mapping methods or rename the topic, a precheck error will be returned due to option conflicts.

        Parameter	Description
        Create Topic	Enter the name of the new topic in the text box. The topic name can contain letters, digits, and underscores (_) and must start with a letter. It must not exceed 128 characters in length.
        Select Topic	OMS allows you to query DataHub topics. You can click Select Topic, and then find and select the topics to be synchronized from the Existing Topics drop-down list. You can also enter the name of an existing topic and select it after it appears.
        Batch Generate Topics	The format for generating topics in batches is: Topic_${Database Name}_${Table Name}.

        If you select Create Topic or Batch Generate Topics, you can query the newly created topics in the DataHub instance after schema synchronization is completed. By default, each DataHub topic has two partitions and the data expiration period is 7 days, which cannot be modified.

      • To synchronize multiple tables, click OK in the dialog box that appears.

        If you have selected a tuple topic and multiple tables without selecting Schema Synchronization, after you select a topic and click OK in the Map Object to Topic dialog box, multiple tables are displayed under the topic in the right pane, but only one table can be synchronized. Click Next. A prompt appears, indicating that only one-to-one mapping is supported between tuple topics and tables.

   4. Click OK.

   When you synchronize data from an OceanBase database to a DataHub instance, OMS allows you to import objects from text and perform the following operations on the objects in the destination database: set row filtering conditions, sharding columns, and column filtering conditions, and remove a single object or all objects. Objects in the destination database are listed in the structure of Topic > Database > Table.

   Operation	Steps
   Import Objects	In the list on the right, click Import Objects in the upper-right corner. In the dialog box that appears, click OK. Notice This operation will overwrite previous selections. Proceed with caution. In the Import Synchronization Objects dialog box, import the objects to be synchronized. You can import CSV files to rename databases/tables and set row filtering conditions. For more information, see Download and import the settings of synchronization objects. Click Validate. After the validation succeeds, click OK.
   Change Topic	When the topic type is set to Blob, you can change topics for objects in the destination database. In the list on the right, move the pointer over the object that you want to change. Click Change Topic. In the Map Object to Topic dialog box, change the topics to be synchronized. Click OK. Notice The selected topics and tables will be merged into the selected topic. Proceed with caution.
   Settings	You can execute the WHERE clause in OMS to implement row filters and select sharding columns and columns to synchronize. In the list on the right, move the pointer over the object that you want to change. Click Settings. In the Settings dialog box, you can perform the following operations: In the Row Filters section, specify a standard SQL WHERE clause to filter data by row. The setting takes effect for both full synchronization and incremental synchronization. Only the data meeting the WHERE condition is synchronized to the destination data source, thereby filtering data by row. If the statement contains a reserved SQL keyword, add an escape character (`). Select the sharding columns that you want to use from the Sharding Columns drop-down list. You can select multiple fields as sharding columns. This parameter is optional. Unless otherwise specified, select the primary keys as sharding columns. If the primary keys are not load-balanced, select fields with unique identifiers and whose load is balanced as sharding columns. Ensure that the selected sharding columns are correct. An incorrect sharding column will cause data synchronization to fail. Sharding columns can be used for the following purposes: Load balancing: Threads used for sending messages can be recognized based on the sharding columns if the destination table supports concurrent writes. Orderliness: OMS ensures that messages are received in order if the values of the sharding columns are the same. The orderliness specifies the sequence of executing DML statements for a column. In the Select Columns section, select the columns to be synchronized. If you select all or no columns, OMS will synchronize all columns. Click OK.
   Remove/Remove All	OMS allows you to remove one or more objects from the destination database during data mapping. Remove a single synchronization object In the list on the right of the selection section, hover the pointer over the target object, and click Remove. The synchronization object is removed. Remove all synchronization objects In the list on the right of the selection section, click Remove All in the upper-right corner. In the dialog box that appears, click OK to remove all synchronization objects.

6. Click Next. On the Synchronization Options page, specify the following parameters.

   Parameter	Description
   Incremental Synchronization Start Timestamp	If you have selected Full Synchronization when you set the synchronization type and configuration, the value here is the project start time by default and cannot be modified. If you do not select Full Synchronization when you set the synchronization type and configuration, specify a point in time after which the data is to be synchronized. The default value is the current system time. You can select a point in time or enter a timestamp. Notice You can select the current time or a point in time earlier than the current time. This parameter is closely related to the retention period of archived logs. Generally, you can start data synchronization from the current timestamp.
   Serialization Method	The message format for synchronizing data to a DataHub instance. Valid values: Default, Canal, Dataworks (version 2.0 supported), SharePlex, and DefaultExtendColumnType. For more information, see Data formats. Notice This parameter is available only when the topic type is set to Blob on the Select Synchronization Type page.
   Enable Intra-Transaction Sequence	Specifies whether to maintain order within a transaction. If this feature is enabled, OMS marks the sequence number for a transaction to be sent to a downstream node. Notice This parameter is valid only for the SharePlex format and is intended for you to obtain the sequence numbers of the DML statements that form a transaction. For example, if a transaction contains 10 DML statements numbered from 1 to 10, OMS will deliver these statements to the destination database in the same order. If this option is enabled, the system performance may be affected. Choose whether to enable it based on the business characteristics.
   Partitioning Rules	The rule for synchronizing data from the source database to a DataHub topic. Valid values: Hash and Table. We recommend that you select Table to ensure DDL and DML consumption consistency when downstream applications are consuming messages. Hash indicates that OMS uses a hash algorithm to select the shard of a DataHub topic based on the value of the primary key or sharding column. Table indicates that OMS delivers all data in a table to the same partition and uses the table name as the hash key. Notice If you select DDL Synchronization on the Select Synchronization Type page, the partitioning rule can be set only to Table.

7. Click Precheck.

   During the precheck, OMS checks the column name and column type, and checks whether the values are null. OMS does not check the value length or default value. If an error is returned:

   • You can troubleshoot the error and run the precheck again.

   • You can also click Skip in the Actions column of the precheck item that returns the error. Then, a dialog box appears, indicating the impact that may be caused if you choose to skip this check item. If you want to continue, click OK in the dialog box.

8. Click Start Project. If you do not need to start the project now, click Save to go to the details page of the data synchronization project. You can start the project later as needed.

   OMS allows you to modify synchronization objects when a data synchronization project is running. For more information, see View and modify synchronization objects. After a data synchronization project is started, the synchronization objects will be executed based on the selected synchronization type. For more information, see the "View synchronization details" section in the View details of a data synchronization project topic.

   If data access fails due to a network failure or the slow startup of processes, go to the project list or the project details page and click Restore.