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Batch Processing: Instead of updating all rows at once, break the updates into smaller batches. This can help reduce the load on the database and improve performance.
Index Optimization: Ensure that your tables are properly indexed. Indexes can significantly speed up the synchronization process by allowing the database to quickly locate the rows that need to be updated.
Parallel Processing: If possible, use parallel processing to handle multiple synchronization tasks simultaneously. This can help distribute the load and speed up the overall process.
Incremental Updates: Instead of truncating and reloading the entire table, consider using incremental updates. This involves only updating the rows that have changed since the last synchronization.
Database Configuration: Optimize your database configuration settings. For example, increasing the buffer pool size in MySQL can help improve performance for large tables.
Network Optimization: Ensure that your network connection between the Oracle and MySQL servers is optimized. A slow network can significantly impact the synchronization speed. MyCenturaHealth Org
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