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BlockingCollection, ConcurrentBag, or List: Which Thread-Safe Collection Should I Choose?

Barbara Streisand
Release: 2025-01-24 22:42:09
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BlockingCollection, ConcurrentBag, or List: Which Thread-Safe Collection Should I Choose?

Selecting the Best Thread-Safe Collection: BlockingCollection, ConcurrentBag, or List<T>

Recent discussions regarding frozen Parallel.ForEach loops in WPF applications highlight the importance of choosing the right thread-safe collection. This article compares BlockingCollection, ConcurrentBag, and List<T>, clarifying their differences and guiding developers toward optimal usage.

Understanding BlockingCollection

BlockingCollection wraps a collection implementing IProducerConsumerCollection<T>, introducing blocking for removals and a maximum capacity. Key features include:

  • Blocking removal until data is available.
  • Enforcing a maximum collection size.

ConcurrentBag vs. BlockingCollection

ConcurrentBag<T> also implements IProducerConsumerCollection<T>, offering thread-safe concurrent access without blocking or capacity limits. Additions and removals happen concurrently without thread blocking.

In scenarios like the linked question, where neither blocking nor capacity is needed, BlockingCollection adds unnecessary complexity.

BlockingCollection vs. ConcurrentBag: Decision Criteria

The choice hinges on application needs:

  • Use BlockingCollection when blocking removals or capacity limits are essential.
  • Use ConcurrentBag for thread-safe concurrent access without blocking or capacity constraints.

List<T> vs. ConcurrentBag

List<T> lacks thread safety. Using it in multithreaded contexts risks race conditions and data corruption. Always prioritize ConcurrentBag or BlockingCollection for thread safety in multithreaded applications.

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