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What are the typical problems and failures that can occur when executing multiple transactions simultaneously in a system?

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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.

What are the typical problems and failures that can… - sobes.tech