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If you simply want to read and display data, then you need to use only a data reader, as you saw in the previous chapter, particularly if you re working with large quantities of data. In situations where you need to loop through thousands or millions of rows, you want a fast sequential reader (reading rows from the result set one at a time), and the data reader does this job in an efficient way. If you need to manipulate the data in any way and then update the database, then you need to use a dataset. A data adapter fills a dataset by using a data reader; additional resources are needed to save data for disconnected use. You need to think about whether you really need a dataset; otherwise, you ll just be wasting resources. Unless you need to update the data source or use other dataset features such as reading and writing to XML files, exporting database schemas, and creating XML views of a database, you should use a data reader.

0 192.168.1.33:53 0.0.0.0:* LISTEN 104\ 3737/named 0 127.0.0.1:53 0.0.0.0:* LISTEN 104\ 3737/named 0 127.0.0.1:953 0.0.0.0:* LISTEN 104\ 3737/named 0 :::53 :::* LISTEN\ 104 12816 3737/named 0 0 :::22 :::* LISTEN\ 0 13585 4150/sshd 0 0 ::1:953 :::* LISTEN\ 104 12825 3737/named 0 0 ::ffff:192.168.1.33:22 ::ffff:192.168.1.6:4197 ESTABLISHED0\ 13761 4229/1 0 164 ::ffff:192.168.1.33:22 ::ffff:192.168.1.7:9688 ESTABLISHED0\ 13609 4158/0 0 0 0.0.0.0:1024 0.0.0.0:* 104\ 12822 3737/named 0 0 10.0.0.20:53 0.0.0.0:* 104\ 13736 3737/named 0 0 10.0.0.30:53 0.0.0.0:* 104\ 13734 3737/named 0 0 10.0.0.10:53 0.0.0.0:* 104\ 13732 3737/named 0 0 192.168.1.33:53 0.0.0.0:* 104\ 12820 3737/named 0 0 127.0.0.1:53 0.0.0.0:* 104\ 12818 3737/named 0 0 :::1025 :::* 104\ 12823 3737/named 0 0 :::53 :::* 104\ 12815 3737/named

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The notion of a dataset in ADO.NET is a big step in the world of multi-tiered database application development. When retrieving or modifying large amounts of data, maintaining an open connection to a data source while waiting for users to make requests is an enormous waste of precious resources. Datasets help tremendously here, because they enable you to store and modify large amounts of data in a local cache, view the data as tables, and process the data in an offline mode (in other words, disconnected from the database).

Transactions represent real-world events such as bank transactions, airline reservations, remittance of funds, and so forth. The purpose of transaction design is to define and document the high-level characteristics of transactions required on the database system, including the following: Data to be used by the transaction Functional characteristics of the transaction Output of the transaction Importance to users Expected rate of usage

0 12821 0 12819 0 12824 0

Let s look at an example. Imagine you re trying to connect to a remote database server over the Internet for detailed information about some business transactions. You search on a particular date for all available transactions, and the results are displayed. Behind the scenes, your application creates a connection with the data source, joins a couple of tables, and retrieves the results. Suppose you now want to edit this information and add or remove details. Whatever the reason, your application will go through the same cycle over and over again: creating a new connection, joining tables, and retrieving data. Not only is there overhead in creating a new connection each time, but you may be doing a lot of other redundant work, especially if you re dealing with the same data. Wouldn t it be better if you could connect to the data source once, store the data locally in a structure that resembles a relational database, close the connection, modify the local data, and then propagate the changes to the data source when the time is right This is exactly what the dataset is designed to do. A dataset stores relational data as collections of data tables. You met data tables briefly in the previous chapter when a System.Data.DataTable object was to hold schema information. In that instance, however, the data table contained only schema information, but in a dataset, the data tables contain both metadata describing the structure of the data and the data itself. Figure 8-1 shows the dataset architecture.

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