Troubleshooting MySQL Error Code 1213 and Error Code 1205: Resolving Deadlock Situations

MySQL Error Code 1213 and Error Code 1205 – Troubleshooting Deadlock Situations

MySQL Error Code 1213 and Error Code 1205 both indicate deadlock situations where transactions are waiting for each other to release resources, creating a circular dependency. Resolving these deadlocks requires understanding the involved transactions, analyzing dependencies, and implementing strategies to mitigate conflicts. This guide provides troubleshooting steps to address these deadlock errors effectively.

  1. Understand the Deadlock Scenario:
    • Error Code 1213: Signifies a deadlock detected during a deadlock detection process.
    • Error Code 1205: Indicates a deadlock situation caused by conflicting transactions waiting for each other.
  2. Identify the Involved Transactions:
    • Review error messages and logs to determine the transactions causing the deadlock.
    • Note transaction IDs, queries, and tables involved in the deadlock for further analysis.

Utilizing ‘SHOW ENGINE InnoDB STATUS\G’ for Troubleshooting MySQL Error Code 1213 and Error Code 1205: Analyzing Deadlock Situations

  1. Execute “SHOW ENGINE InnoDB STATUS\G”:
    • Run the query “SHOW ENGINE InnoDB STATUS\G” in the MySQL client or MySQL command-line interface to obtain the detailed InnoDB status.
  2. Locate the “LATEST DETECTED DEADLOCK” section:
    • In the output, search for the “LATEST DETECTED DEADLOCK” section. It contains information about the most recent deadlock occurrence.
  3. Identify the Transactions Involved:
    • Look for the “*** (1) TRANSACTION” and “*** (2) TRANSACTION” sections within the deadlock information.
    • Note the transaction IDs, queries, and tables associated with each transaction involved in the deadlock.
  4. Analyze “WAITING FOR THIS LOCK” and “HOLDS THE LOCK(S)” sections:
    • Examine the “WAITING FOR THIS LOCK” section to identify the specific locks that each transaction is waiting for.
    • Check the “HOLDS THE LOCK(S)” section to determine which locks each transaction currently holds.
  5. Analyze “TRANSACTIONS” and “INNODB STATUS OUTPUT” sections:
    • Study the “TRANSACTIONS” section to understand the order in which transactions were started and their dependencies.
    • Review the “INNODB STATUS OUTPUT” section for detailed information about the transactions, locks, and resource conflicts.
  6. Look for “PENDING LOCKS” and “PENDING RESOLVES” sections:
    • Check the “PENDING LOCKS” section to identify any pending locks that may contribute to the deadlock situation.
    • Analyze the “PENDING RESOLVES” section to understand any unresolved resource conflicts.
  7. Identify the Root Cause:
    • Based on the information gathered from the output, pinpoint the resources or locks causing the deadlock.
    • Determine which transactions are conflicting and causing the circular dependency.
  8. Apply Resolution Strategies:
    • Implement strategies like query optimization, adjusting isolation levels, or refining lock granularity to mitigate the conflict.
    • Rerun transactions or modify code logic to avoid the deadlock scenario.
  9. Retest and Monitor:
    • After implementing changes, retest the scenario to ensure that the deadlock is resolved.
    • Continuously monitor the system for any recurrence of the deadlock or adverse effects caused by the resolution strategies.

In conclusion, when faced with MySQL Error Code 1213 and Error Code 1205, which indicate deadlock situations, analyzing the output of the “SHOW ENGINE InnoDB STATUS\G” query is a crucial step in troubleshooting. By carefully examining the information provided in the output, such as the transactions involved, waiting and holding locks, pending resolves, and transaction dependencies, you can gain valuable insights into the deadlock scenario. Armed with this knowledge, you can then apply appropriate resolution strategies, such as query optimization, isolation level adjustments, or refining lock granularity, to mitigate conflicts and resolve the deadlock. Continuous monitoring and retesting ensure the effectiveness of the implemented changes and help maintain a stable and high-performing MySQL database. By utilizing the “SHOW ENGINE InnoDB STATUS\G” output, you can effectively troubleshoot and address deadlock situations, contributing to improved performance and reliability in your MySQL environment.

About Shiv Iyer 455 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.