Safety Trustworthy. Microsoft-Toolkit.png' alt='Microsoft Office 2013 Toolkit 2.4.3' title='Microsoft Office 2013 Toolkit 2.4.3' />Performance Considerations for EF 4, 5, and 6 Updated October 2. By David Obando, Eric Dettinger and others. Published April 2. Last updated May 2. Object Relational Mapping frameworks are a convenient way to provide an abstraction for data access in an object oriented application. For. NET applications, Microsofts recommended ORM is the Entity Framework. HudX1E/Ut3wFLk5CgI/AAAAAAAAAfQ/fa_mgjrFthw/s1600/activate-office-2013-with-toolkit.png' alt='Microsoft Office 2013 Toolkit 2.4.3' title='Microsoft Office 2013 Toolkit 2.4.3' />FREE Download 100 WORKING Microsoft Toolkit 2. Final Version By KMS. Activate any version of Windows 7, 8, 10 any Microsoft Office suite. The Microsoft toolkit 2. Microsoft office 2016 activator. National professional association for CPAs in the United States. Hot spots Hot spots Hot spots Hot spots. ObjectRelational Mapping frameworks are a convenient way to provide an abstraction for data access in an objectoriented application. For. NET. Kilauea Mount Etna Mount Yasur Mount Nyiragongo and Nyamuragira Piton de la Fournaise Erta Ale. With any abstraction though, performance can become a concern. This whitepaper was written to show the performance considerations when developing applications using the Entity Framework, to give developers an idea of the Entity Framework internal algorithms that can affect performance, and to provide tips for investigation and improving performance in their applications that use the Entity Framework. There are a number of good topics on performance already available on the web, and weve also tried pointing to these resources where possible. Performance is a tricky topic. This whitepaper is intended as a resource to help you make performance related decisions for your applications that use the Entity Framework. We have included some test metrics to demonstrate performance, but these metrics arent intended as absolute indicators of the performance you will see in your application. For practical purposes, this document assumes Entity Framework 4 is run under. NET 4. 0 and Entity Framework 5 and 6 are run under. P38DmtuiY/UZgXwiOawwI/AAAAAAAABvA/1_J0eaLzEIg/s1600/noveno.bmp' alt='Microsoft Office 2013 Toolkit 2.4.3' title='Microsoft Office 2013 Toolkit 2.4.3' />NET 4. Many of the performance improvements made for Entity Framework 5 reside within the core components that ship with. NET 4. 5. Entity Framework 6 is an out of band release and does not depend on the Entity Framework components that ship with. NET. Entity Framework 6 work on both. NET 4. 0 and. NET 4. NET 4. 0 but want the latest Entity Framework bits in their application. When this document mentions Entity Framework 6, it refers to the latest version available at the time of this writing version 6. The very first time any query is made against a given model, the Entity Framework does a lot of work behind the scenes to load and validate the model. We frequently refer to this first query as a cold query. Further queries against an already loaded model are known as warm queries, and are much faster. Lets take a high level view of where time is spent when executing a query using Entity Framework, and see where things are improving in Entity Framework 6. First Query Execution cold query. Code User Writes. Action. EF4 Performance Impact. EF5 Performance Impact. EF6 Performance Impactusingvar db new My. Context Context creation. Medium. Medium. Lowvar q. Customers where c. Id id. 1 select c Query expression creation. Low. Low. Lowvar c. First LINQ query execution Metadata loading High but cached View generation Potentially very high but cached Parameter evaluation Medium Query translation Medium Materializer generation Medium but cached Database query execution Potentially high Connection. Open Command. Execute. Brother 7820N more. Reader Data. Reader. WbdObp514Ig/UcA5RaREtuI/AAAAAAAAC5Q/S5mAAFSo5Gc/s1600/3.png' alt='Microsoft Office 2013 Toolkit 2.4.3' title='Microsoft Office 2013 Toolkit 2.4.3' />Read Object materialization Medium Identity lookup Medium Metadata loading High but cached View generation Potentially very high but cached Parameter evaluation Low Query translation Medium but cached Materializer generation Medium but cached Database query execution Potentially high Better queries in some situations Connection. Open Command. Execute. Reader Data. Reader. Read Object materialization Medium Identity lookup Medium Metadata loading High but cached View generation Medium but cached Parameter evaluation Low Query translation Medium but cached Materializer generation Medium but cached Database query execution Potentially high Better queries in some situations Connection. Open Command. Execute. Reader Data. Reader. Read Object materialization Medium Faster than EF5 Identity lookup MediumConnection. Close. Low. Low. Low. Second Query Execution warm query. Code User Writes. Action. EF4 Performance Impact. EF5 Performance Impact. EF6 Performance Impactusingvar db new My. Context Context creation. Medium. Medium. Lowvar q. Customers where c. Id id. 1 select c Query expression creation. Low. Low. Lowvar c. First LINQ query execution Metadata loading lookup High but cached Low View generation lookup Potentially very high but cached Low Parameter evaluation Medium Query translation lookup Medium Materializer generation lookup Medium but cached Low Database query execution Potentially high Connection. Open Command. Execute. Reader Data. Reader. Read Object materialization Medium Identity lookup Medium Metadata loading lookup High but cached Low View generation lookup Potentially very high but cached Low Parameter evaluation Low Query translation lookup Medium but cached Low Materializer generation lookup Medium but cached Low Database query execution Potentially high Better queries in some situations Connection. Open Command. Execute. Reader Data. Reader. Read Object materialization Medium Identity lookup Medium Metadata loading lookup High but cached Low View generation lookup Medium but cached Low Parameter evaluation Low Query translation lookup Medium but cached Low Materializer generation lookup Medium but cached Low Database query execution Potentially high Better queries in some situations Connection. Open Command. Execute. Reader Data. Reader. Read Object materialization Medium Faster than EF5 Identity lookup MediumConnection. Close. Low. Low. Low. There are several ways to reduce the performance cost of both cold and warm queries, and well take a look at these in the following section. Specifically, well look at reducing the cost of model loading in cold queries by using pre generated views, which should help alleviate performance pains experienced during view generation. For warm queries, well cover query plan caching, no tracking queries, and different query execution options. What is View Generation In order to understand what view generation is, we must first understand what Mapping Views are. Mapping Views are executable representations of the transformations specified in the mapping for each entity set and association. Internally, these mapping views take the shape of CQTs canonical query trees. There are two types of mapping views Query views these represent the transformation necessary to go from the database schema to the conceptual model. Update views these represent the transformation necessary to go from the conceptual model to the database schema. Keep in mind that the conceptual model might differ from the database schema in various ways. For example, one single table might be used to store the data for two different entity types. Inheritance and non trivial mappings play a role in the complexity of the mapping views. The process of computing these views based on the specification of the mapping is what we call view generation. View generation can either take place dynamically when a model is loaded, or at build time, by using pre generated views the latter are serialized in the form of Entity SQL statements to a C or VB file. When views are generated, they are also validated. From a performance standpoint, the vast majority of the cost of view generation is actually the validation of the views which ensures that the connections between the entities make sense and have the correct cardinality for all the supported operations.