Junior — Middle
What are the typical problems and failures that can occur when executing multiple transactions simultaneously in a system?
sobes.tech AI
Answer from AI
When executing multiple transactions simultaneously in a system, the following typical problems and failures may occur:
- Race conditions: when several transactions try to modify the same data at the same time, leading to unpredictable results.
- Deadlocks: a situation where two or more transactions are waiting for resources held by each other, and none can proceed.
- Isolation violations: reading "dirty" data, non-repeatable reads, or phantom reads, which lead to inconsistency.
- Lost updates: when changes made by one transaction are overwritten by another without consideration.
To prevent these issues, mechanisms such as:
- Transaction isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable).
- Locks at the row, table, or object level.
- Timeouts and deadlock detection and resolution algorithms.
In Go, when working with databases and concurrent processes, it is important to use transactions and synchronization (e.g., mutex) to avoid such problems.