Entity Framework Core and LINQ to Entities in Depth (4) Query Methods (Operators)
2019-10-07
This part discusses how to query SQL database with the defined mapping entities. In EF Core, LINQ to Entities supports most of the standard queries provided by Queryable:
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32 minutes
Entity Framework Core and LINQ to Entities in Depth (3) Logging and Tracing Queries
2019-10-05
As fore mentioned, LINQ to Entities queries are translated to database queries. To understand how EF Core work with databases, it is important to uncover the actual underlying operations to the SQL da
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4 minutes
Entity Framework Core and LINQ to Entities in Depth (2) Modeling Database: Object-Relational Mapping
2019-10-04
In LINQ to Entities, the queries are based on Object-relational mapping. .NET and SQL database and have 2 different data type systems. For example, .NET has System.Int64 and System.String, while SQL d
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28 minutes
Entity Framework Core and LINQ to Entities in Depth (1) Remote Query
2019-10-01
The previous chapters discussed LINQ to Objects, LINQ to XML, and Parallel LINQ. All of these LINQ technologies query local in-memory objects managed by .NET. This chapter discusses a different kind o
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11 minutes
Parallel LINQ in Depth (4) Performance
2019-09-24
The purpose of PLINQ is to utilize multiple CPUs for better performance than LINQ to Objects However, PLINQ can also introduces performance overhead, like source partitioning and result merging. There
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5 minutes
Parallel LINQ in Depth (3) Query Methods (Operators)
2019-09-23
Most of the PLINQ standard queries are the parities with LINQ to Objects standard queries, with the same syntax and functionality. For the additional queries in PLINQ, AsParallel, AsSequential and For
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10 minutes
Parallel LINQ in Depth (2) Partitioning
2019-09-22
The previous chapter discussed what is PLINQ and how to use PLINQ. This chapter looks into PLINQ’s internals and execution, including data processing and query performance.
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11 minutes
Parallel LINQ in Depth (1) Local Parallel Query and Visualization
2019-09-20
LINQ to Objects and LINQ to XML queries are designed to work sequentially, and do not involve multi-threading, concurrency, or parallel computing. To scale LINQ query in multi-processor environment, .
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