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n 7, you saw how to use data readers to access database data in a connected, forward-only, read-only fashion. Often, this is all you want to do, and a data reader suits your purposes perfectly. In this chapter, you ll look at a new object for accessing data the dataset. Unlike data readers, which are objects of data provider-specific classes that implement the System.Data.IDataReader interface, datasets are objects of the class System.Data.DataSet, a distinct ADO.NET component used by all data providers. Datasets are completely independent of and can be used either connected to or disconnected from data sources. Their fundamental purpose is to provide a relational view of data stored in an in-memory cache.



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The results of both full table scans BROADCAST to all Parallel Execution Servers, which means you don t need to distribute the results of the index scan against the index on the comparatively larger PARTSUPP table The operations that are the consumer of these rows are identified by table queue TQ1,02 This queue is also the producer of the index scan From the output of V$PQ_TQSTAT, it can be observed that the operating system processes P002 and P003 are the producers for this operation, as well as the consumers for the TQ1,00 and TQ1,01 Table Queue operations These Parallel Execution Servers then perform the JOIN on the PART and PARTSUPP rows and the ANTI JOIN for the NOT IN operation on the SUPPLIER rows before redistributing the results to another set of Parallel Execution Servers In this example, these servers are the operating system processes, P000 and P001.





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After Oracle gathers the necessary information it needs from your PC, it will provide a brief summary of the installation. You can begin the installation by clicking the Install button in the summary screen shown in Figure 2-9.

This form of redistribution continues for Table Queues ranging from TQ1,03 to TQ1,04 In this case, the operating system processes P000 and P001 and P002 and P003 alternate between producer and consumer roles, processing the GROUP BY operations in parallel For the output and Table Queue TQ1,04, the Parallel Execution Coordinator acts as the RANGER to determine which ranges the producers will send to the Consumers at TQ1,05 This enables the Parallel Execution Servers to sort the rows in parallel for the ORDER BY operation The results are returned to the Parallel Execution Coordinator serially, already in the sort order identified by QC (ORDER) Here, the Parallel Execution Coordinator returns the combined results shown previously to the user.

3. Enter the sqlcmd command quit to exit sqlcmd. See Figure 1-17.

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Figure 2-9. Installation progress screen After the installation is complete, Oracle will run the configuration assistants automatically (depending on your installation options). One of these configuration assistants, the Oracle Database Configuration Assistant (see Figure 2-10) is responsible for creating the NEWDB starter database you specified earlier.

The execution plan will show the number of rows and bytes used to calculate each operation, and the V$PQ_STAT view can also be used to show the actual number of rows and the bytes redistributed between processes after the statement has executed The following RAC example shows the same statement executed with a Degree of Parallelism of 14 It utilizes 14 Parallel Execution Servers per instance, distributing the producers and consumers across the cluster Therefore, some of this data is transferred across the private interconnect, as opposed to using interprocess communication (IPC) on the same instance:.

SQL> select DFO_NUMBER, TQ_ID, SERVER_TYPE, NUM_ROWS, BYTES, PROCESS, INSTANCE from v$PQ_TQSTAT where TQ_ID = 2;

Figure 2-10. The Database Configuration Assistant After the automated installation has completed, you will see the End of Installation screen shown in Figure 2-11.

s Note We don t cover sqlcmd further, since we submit SQL with SSMSE, but we recommend you play with it. It s the latest command-line tool for SQL Server, superseding the earlier osql and isql tools, and it s still a very valuable tool for database administrators and programmers.

DFO_NUMBER TQ_ID SERVER_TYP NUM_ROWS BYTES PROCESS INSTANCE ---------- ----- ---------- ---------- ---------- ---------- ---------1 2 Consumer 5716868 73913206 P011 1 1 2 Producer 6364469 82530761 P005 2 1 2 Consumer 5717580 73921160 P012 1

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

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