LINQ Mastery
Lesson 27 of 31 87% of course

AsParallel vs AsSequential: When to switch

19 · 8 min · 5/23/2026

Sign in to track progress and bookmarks.

Hybrid Parallelism

Not every part of your query should be parallel. Use AsSequential to drop back into single-threaded mode for specific operations.

1. Thread-Safe Sections

Imagine you are doing heavy math in parallel, but then you need to update a shared resource that isn't thread-safe (like a legacy COM object or a non-concurrent dictionary). You do the math with AsParallel and then switch to AsSequential for the final update.


var query = data.AsParallel()
                .Select(x => HeavyMath(x)) // Parallel
                .AsSequential()
                .Select(x => UpdateSingleThreadedResource(x)); // Sequential
    

2. Managing Concurrency

You can limit the number of threads PLINQ uses with WithDegreeOfParallelism(n). This is critical if your app is running on a server with 64 cores, but you don't want to starve other applications of CPU during a query.

3. Architect Insight

Q: "Can I use PLINQ with EF Core?"

Architect Answer: "NO. AsParallel() is for in-memory collections. Databases already handle parallelism internally using their own execution plans. If you try to use PLINQ on a DB context, you will likely cause thread-safety errors as multiple threads try to use the same database connection simultaneously."

Test your knowledge

Quizzes linked to this course—pass to earn certificates.

Browse all quizzes
LINQ Mastery

On this page

1. Thread-Safe Sections 2. Managing Concurrency 3. Architect Insight
General
Introduction to LINQ Mastery
1. Core Foundations
LINQ Fundamentals: Why LINQ? IQueryable vs IEnumerable: The Architect's choice Expression Trees: The power behind LINQ providers Method Syntax vs Query Syntax: Trade-offs
2. Filtering & Transformation
Where & Select: The bread and butter SelectMany: Flattening complex hierarchies OfType vs Cast: Handling heterogeneous collections Distinct & DistinctBy: Mastering unique sets
3. Aggregation & Quantifiers
Any, All, Contains: The boolean quantifiers Count, LongCount, Sum: Basic aggregations Min, Max, Average: Statistical operations Aggregate: The 'Fold' function of .NET
4. Ordering & Partitioning
OrderBy & OrderByDescending: Sorting data ThenBy: Multi-level sorting Take & Skip: Pagination strategies TakeWhile & SkipWhile: Dynamic partitioning
5. Sets & Lookups
Union, Intersect, Except: Set theory in C# Zip: Combining two streams ToDictionary vs ToLookup: One-to-One vs One-to-Many Chunk: Slicing data for batch processing
6. Join & Grouping
Inner Join: The standard match GroupJoin: Creating hierarchical results GroupBy: The SQL counterpart in LINQ Left Outer Join: The manual workaround in LINQ
7. Advanced Providers & Parallelism
PLINQ (Parallel LINQ): Speeding up CPU-bound queries AsParallel vs AsSequential: When to switch LINQ to XML: Processing documents with ease Custom LINQ Providers: How to build your own 'Queryable'
8. Real-world Performance & Patterns
Memory Leaks in LINQ: Capturing variables and closures Architect Case Study: Optimizing a multi-join dashboard query