What is the DataAdapter?
The DataAdapter serves as a bridge between a DataSet and a data source for retrieving and saving data. The DataAdapter provides this bridge by mapping Fill, which changes the data in the DataSet to match the data in the data source, and Update, which changes the data in the data source to match the data in the DataSet.
What is DataAdapter in dotnet?
In ADO.NET, a DataAdapter functions as a bridge between a data source, and a disconnected data class, such as a DataSet. (In addition to adapters, managed providers include connection objects, data reader objects, and command objects.) Adapters are used to exchange data between a data source and a dataset.
What is DataAdapter methods?
Data Adapter Methods The DataAdapter class provides many useful methods. For instance, the FILL method of the DataAdapter fills data from a data adapter to the DataSet object, and the Update method stores data from a DataSet object to the data source.
How use SQL DataAdapter in C#?
In order to execute a stored procedure using SqlDataAdapter in C#, we just need to specify the name of the stored procedure instead of the in-line SQL statement and then we have to specify the command type as StoredProcedure using the command type property of the SqlDataAdapter object as shown in the below image.
What is DataSet and DataAdapter in C#?
DataSet is mainly used to fetch and hold the records for one or more tables into memory. A DataAdapter is used to populate DataSet from records returned from an SQL statement and also a DataSet can be created in memory and tables and data can be added to it.
What is difference between DataSet and DataAdapter?
Which is faster DataReader or DataSet?
DataReader provides faster performance, but has read-only and forward-only access. DataSet, on the other hand, is high resource-consuming, but offers more control and a disconnected nature. If you want random access and do not need to worry about having a constant connection with the database, go with DataSet.
Why is DataReader useful?
The DataReader provides an unbuffered stream of data that allows procedural logic to efficiently process results from a data source sequentially. The DataReader is a good choice when retrieving large amounts of data because the data is not cached in memory.