MySQL error 1205: The core reason for Lock wait timeout exceeding is that the time when the transaction waits for the lock exceeds the set threshold (default 50 seconds), which is common in situations such as fierce resource competition, transaction execution too long or not committing, and lack of appropriate indexes, resulting in excessive lock range. Troubleshooting methods include: 1. Use SHOW ENGINE INNODB STATUS\G and information_schema.innodb_trx to view active transactions and lock waiting conditions; 2. Use PROCESSLIST to locate stuck SQL; 3. Adjust the innodb_lock_wait_timeout parameter as a temporary mitigation measure; 4. Optimize SQL and transaction design, such as shortening transaction time, adding indexes, splitting large transactions, using optimistic locks or retry mechanisms, etc. The solution should give priority to the source of the bottleneck rather than simply adjusting parameters.
MySQL error 1205: Lock wait timeout exceeded is a common error in concurrent operations. Simply put, the time when a transaction waits for a line lock exceeds the threshold set by the system (default is 50 seconds), so it is actively interrupted.

This error does not necessarily mean that there is a problem with your SQL, but it may also mean that the database resources are highly competitive, or that some statements are executed too slowly and transactions are too large, resulting in the lock holding time being too long.
Why does this error occur?
The core reason for this error is that transaction A is waiting for transaction B to release the lock, but has waited too long .

Common scenarios include:
- Multiple transactions modify the same table or row of data at the same time
- Long-running transaction not committed
- There is no suitable index resulting in too many rows scanning and too large lock range
- The deadlock has occurred but has not been detected (sometimes it appears as Lock Wait Timeout)
How to troubleshoot and solve it?
1. Check the currently executing transactions and locks
You can see which transactions are occupying the lock in the following ways:

SHOW ENGINE INNODB STATUS\G
There is a "TRANSACTIONS" paragraph in this part of the output, where you can see the currently active transactions, as well as the locks they hold and the locks they wait for.
You can also use the following SQL to find the thread waiting for the lock:
SELECT * FROM information_schema.innodb_trx WHERE trx_state = 'LOCK WAIT';
Combined with PROCESSLIST
to view the specific SQL:
SHOW FULL PROCESSLIST;
If you find which SQL is stuck, you can optimize it in a targeted manner.
2. Adjust the innodb_lock_wait_timeout parameter
If you confirm that the system does need to wait for the lock longer, you can appropriately increase this parameter:
SET innodb_lock_wait_timeout = 100;
It can also be set permanently in the configuration file:
[mysqld] innodb_lock_wait_timeout=100
?? Note: This is not the fundamental solution, it is just a relief method. If timeouts frequently, you still need to find out which SQL or transaction is slowing down the entire process.
3. Optimize SQL and transaction design
This is the most effective long-term strategy. You can start from the following aspects:
- Minimize transaction execution time and submit transactions as early as possible
- Avoid doing a lot of computation or network requests in a transaction
- Add indexes to WHERE conditional fields to avoid row locks caused by full table scanning to upgrade to table locks
- Reasonably split big transactions and don’t handle too much logic in one transaction
- Use optimistic locking or retry mechanisms , especially in high concurrency update scenarios
For example:
Suppose you have an order table and multiple users place orders at the same time and update the inventory. If there is no appropriate index, or if there is too much data updated at once, lock conflicts are likely to occur. At this time, you can retry the failed operation at the code level instead of letting the database wait.
Not complicated but easy to ignore
This problem seems to be a simple timeout error, but there are often performance bottlenecks hidden behind it. When encountering this kind of problem, don’t rush to change the parameters first. First, see who is "occupying the pit and not pooping", and then decide how to deal with it.
Basically that's it.
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