Oracle to Kafka
BladePipe supports data replication from Oracle to Kafka. View supported migration, sync, verification, and connector capabilities.
| Function | Description |
|---|---|
Full Data Migration | Migrate data by sequentially scanning data in tables and writing it in batches to the message-oriented middleware. |
Incremental Data Sync | Sync of common DML like INSERT, UPDATE, DELETE is supported. |
Subscription Modification | Add, delete, or modify the subscribed tables with support for historical data migration. For more information, see Modify Subscription. |
Position Resetting | Reset the position by timestamp or Scn to consume Oracle Redo Log in a past period again. |
Metadata Retrieval | Retrieve the target metadata with filtering conditions from the source table. |
Advanced Functions
| Function | Description |
|---|---|
Automatic Dictionary Creation | When using offline dictionaries to parse Oracle Redo files, the dictionary is automatically created during DataJob creation. |
Message Format | The following message formats are supported. See Message Format.
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Topic Mapping Rules | By default, Topic is formed by connecting source instance id, database, and table with . in between (e.g., ora-vgpq6q097174t6t.ORCL.dingtax.app_key). Also, it supports the mapping rules, namely, keeping the name the same as that in Source, converting the text to lowercase, converting the text to uppercase. |
Table-level Topic | Create Topics corresponding to the tables in the Source, and the table partitions can be obtained automatically. |
DDL Dedicated Topic | Allow specifying a Topic for DDL. If not specified, DDL time is placed in partition 0 of the Topic created from the corresponding table. |
Scheduled Full Data Migration | For more information, see Create Scheduled Full Data DataJob. |
Custom Code | For more information, see Custom Code Processing, Debug Custom Code and Logging in Custom Code. |
Data Filtering Conditions | Support data filtering using WHERE conditions, with SQL-92 as the SQL language. For more information, see Data Filtering. |
Setting Target Primary Key | Change the primary key to another field. |
Limits
| Limit | Description |
|---|---|
Incremental Data Sync Performance | Due to LogMiner performance limits and BladePipe's lack of parallel analysis, the performance benchmark is set at 3000 records per second. |
Data Types | Do not support BLOB and derived types. |