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MySQL lock waits and deadlocks

In MySQL, locking is a crucial concept for maintaining data integrity while allowing concurrency control. Sometimes, though, issues such as lock waits and deadlocks can occur. Let's go through each of these.

Lock Waits: A lock wait occurs when one transaction (Transaction A) has locked a specific resource (like a row or a table), and another transaction (Transaction B) tries to access the same resource but can't because it's locked. In this case, Transaction B will wait until Transaction A releases the lock.
To avoid long lock waits, make sure your transactions are as short as possible so that locks are held for the minimum amount of time. Also, try to access resources in the same order in all transactions to prevent them from waiting for each other.
Deadlocks: A deadlock happens when two (or more) transactions mutually wait for each other to release resources. For example, if Transaction A locks resource 1 and tries to access resource 2, and simultaneously, Transaction B locks resource 2 and tries to access resource 1, neither can proceed, causing a deadlock.
MySQL automatically detects deadlocks and resolves them by rolling back one of the transactions, allowing the other to proceed.
To avoid deadlocks, follow these practices:
- Keep transactions as short as possible.
- Try to avoid user interactions in the middle of transactions.
- Access tables in the same order in all transactions.
- Use SELECT ... FOR UPDATE wisely and only when necessary.

To analyze lock waits and deadlocks, MySQL provides several tools and techniques:

The SHOW ENGINE INNODB STATUS command gives a wealth of information, including recent deadlocks.
The performance_schema in MySQL 5.6 and later can be used to collect data about locks.
innodb_print_all_deadlocks configuration option, when enabled (SET GLOBAL innodb_print_all_deadlocks = 1;), logs all deadlocks to the MySQL error log which can be useful for post-mortem analysis.

Remember, understanding and handling locks, lock waits, and deadlocks is an important part of database administration and can greatly impact the performance and reliability of your applications.

Preventing deadlocks in MySQL:
- Prevent deadlocks in MySQL by carefully designing transactions, avoiding long-held locks, and using appropriate isolation levels.
```
SET TRANSACTION ISOLATION LEVEL READ COMMITTED;
```
Handling concurrent transactions in MySQL:
- Handle concurrent transactions in MySQL by setting appropriate isolation levels, optimizing queries, and using efficient indexing.
```
SET TRANSACTION ISOLATION LEVEL READ COMMITTED;
```
MySQL deadlock detection and resolution:
- Detect and resolve deadlocks in MySQL by using tools like the SHOW ENGINE INNODB STATUS command to identify the conflicting transactions.
```
-- Check for deadlocks
SHOW ENGINE INNODB STATUS;
```
Strategies for avoiding lock waits in MySQL:
- Avoid lock waits in MySQL by optimizing queries, using appropriate indexes, and choosing the right isolation levels.
```
SET TRANSACTION ISOLATION LEVEL READ COMMITTED;
```