The primary purpose of PLINQ is to speed up query execution by splitting the task and executing it in parallel. However, there are a lot of factors that can impact the performance of PLINQ. These include synchronization overheads to do with chunking and partitioning, as well as scheduling and collecting results from threads. PLINQ performs best in delightfully parallel scenarios, where threads don't have to share a state and don't have to worry about the order of execution. Being delightfully parallel is ideal but not always achievable due to the nature of work. Let's try to understand the factors that can impact the performance of PLINQ.
Germany
Slovakia
Canada
Brazil
Singapore
Hungary
Philippines
Mexico
Thailand
Ukraine
Luxembourg
Estonia
Lithuania
Norway
Chile
United States
Great Britain
India
Spain
South Korea
Ecuador
Colombia
Taiwan
Switzerland
Indonesia
Cyprus
Denmark
Finland
Poland
Malta
Czechia
New Zealand
Austria
Turkey
France
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Malaysia
South Africa
Netherlands
Bulgaria
Latvia
Australia
Japan
Russia