Spring Data Deadlock: org.springframework.dao.DeadlockLoserDataAccessException

This exception occurs when a deadlock happens during a batch insert operation using the 'insert' method of the 'FundHistoryDataMapper' class in the 'vip.xiaonuo.fund.modular.historydata.mapper' package. The root cause is a 'java.sql.BatchUpdateException', indicating a deadlock when acquiring a database lock.

A deadlock happens when two or more transactions wait indefinitely for each other to release resources, resulting in a standstill. In this case, the deadlock occurs while attempting to acquire a database lock, and restarting the transaction is recommended.

Here's how to address this issue:

1. Retry the transaction: Catch the 'DeadlockLoserDataAccessException' and retry the transaction. Implement a retry loop with a delay between retries.

2. Optimize database queries: Inefficient or conflicting queries can lead to deadlocks. Analyze and optimize queries to minimize deadlock possibilities.

3. Use appropriate locking strategy: Deadlocks can arise when multiple transactions attempt to acquire locks on the same resources. Review the locking strategy and consider alternatives like row-level locking or optimistic locking.

4. Review transaction isolation level: The transaction isolation level dictates how concurrent transactions interact. Evaluate the current level and consider switching to 'READ COMMITTED' or 'REPEATABLE READ' to prevent deadlocks.

5. Check for long-running transactions: Long-running transactions increase the risk of deadlocks. Ensure transactions are kept brief to minimize deadlock chances.

By following these steps, you should be able to resolve the deadlock and successfully insert data into the database.