Once you know your dataset you need to figure out what information you are looking for. The query specifies what to retrieve from the sequence or what transformations to apply to each element in the sequence. In the example program the range variable cust is used to reference each element in the sequence that will be looked at. In the first query the where clause or operator looks over a list of customers. For each customer in the list I want to know if the state property value is equal to OR.
If the element fits the criteria LINQ holds on to it and moves to the next query operator. The next operator, the select clause specifies that I want to select the result of the previous query as one of the data elements to return. An important thing to realize is that the query isn't being executed at this point in the program. No data is being returned yet.
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Notify me of new posts by email. Skip to content. LINQ is the answer. LINQ makes big data doable. She covers standard queries—such as finding overlaps in two datasets and creating hierarchies—as well as complex chained queries. Last but not least, Olivia provides tips for optimizing the performance of your queries.
Introduction to LINQ 1. Introduction to LINQ. Data Transformation 3. Data Transformation. Type Relationships 4. Type Relationships. Standard Queries 5. Standard Queries. Lambda Expressions 6. Lambda Expressions. Complex Queries 7. Get a high-level review of the entire family of products, so you can understand if SharePoint Online is right for your organization.
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