- In the local query examples,…the purchases for a property of the Customer class.…I want to form a similar relationship here…between the tables.…Since both tables have a last name property…for each customer, I could perform a joint query…to combine them by matching the last name in each table.…But linked to SQL has some additional functionality…to define this relationship in the class definition…to make this a little easier.…To set that up, I'll introduce an EntitySet…in the Customer class which acts like a where query…to find the associate data.…
Here, I'm specifying that the associated entity…is the purchase entity and in my customer constructor,…I'll have access to the purchase entity.…I'll also add an association attribute,…which gives LINQ to SQL information…on how the two entities and tables are related.…In our example, I'm specifying that the customer entity…is associated with the purchases entity…and the two map to one another using the key CLast.…And finally, I'll add to the Purchase property…to our class.…
Author
Released
11/30/2015In LINQ with C# Essential Training, engineer Olivia Chiu introduces techniques for querying, updating, and transforming data with LINQ. She covers standard queries—such as finding overlaps in two datasets and creating hierarchies—as well as complex chained queries. She also shows how to group and join LINQ queries with lambda expressions, and use LINQ to query SQL databases and XML documents. Last but not least, Olivia provides tips for optimizing the performance of your queries.
- Creating and executing a LINQ query
- Returning results
- Changing the data source type
- Performing standard queries
- Working with lambda expressions
- Chaining and complex queries
- Querying SQL and XML
- Performing tree queries
- Using sequences, elements, and scalars
- Allocating memory
Skill Level Intermediate
Duration
Views
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Introduction
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Welcome51s
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Use the exercise files1m 6s
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1. Introduction to LINQ
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Common use cases1m 45s
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2. Basic LINQ Queries
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Select a data source3m 6s
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Create a query1m 33s
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Execute a query1m 56s
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3. Data Transformation
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Return results as a new type1m 39s
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4. Type Relationships
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5. Standard Queries
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Parse basic groups4m 30s
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Create hierachy in a dataset3m 50s
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6. Lambda Expressions
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Lambda expressions3m 25s
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Index and distinct operators2m 22s
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Take and skip operators2m 47s
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7. Complex Queries
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Chaining2m 9s
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Use the into keyword3m 45s
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Use the let keyword3m 4s
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8. LINQ to SQL
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Database setup3m 58s
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Database query1m 48s
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Database updates2m 56s
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9. LINQ to XML
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Tree creation4m 10s
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Tree queries1m 43s
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10. Other Operators
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11. Performance
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Memory allocation1m 54s
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Best practices1m 40s
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Conclusion
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Next steps44s
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Video: Database updates