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  1. DZone
  2. Data Engineering
  3. Databases
  4. Deadlock in Databases

Deadlock in Databases

Here's why you need to avoid database deadlock.

By 
Anghel Leonard user avatar
Anghel Leonard
DZone Core CORE ·
May. 28, 19 · Presentation
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From databases perspective, a deadlock is a phenomenon that occurs when two transactions are blocking each other.

Image title

In the figure above, we have a classic deadlock situation. Transaction A (old man transaction) holds a lock to resource A (Dogs), but it doesn't release it until it will acquire a lock to resource B (Cats) that is currently locked by transaction B (young man transaction). In the same time, transaction B (young man transaction) holds a lock to resource B (Cats), but it doesn't release it until it will acquire a lock to resource A (Dogs) that is currently locked by transaction A (old man transaction).

The application (data access layer) is responsible for managing the acquisition of the lock/release in order to avoid deadlocks, and implicitly performance issues. Without application support, you need to rely on the database capability of detecting and solving deadlocks (commonly, by aborting one of the transactions involved in a deadlock).

You may also like Java Persistence Performance Illustrated Guide.

Database Threading

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Related

  • The Curious Case of Dead-End-Lock(Deadlock) | MySql
  • Deadlock-Free Synchronization in Java
  • When Snowflake Lies to You: Understanding False Failures in dbt Pipelines
  • Master-Class: Understanding Database Replication (Single, Multi, and Leaderless)

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