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Also, the user running the software should have permission to read and write to those devices, none of which should not be in use for any software or contain data that requires preserving Set the names of your disks in a file with the extension lun, as in this example: [root@london1 bin]# cat prodlun /dev/sdd When running Orion, you should ensure that the LD_LIBRARY_PATH environment variable is set to include either $ORACLE_HOME/lib or the equivalent directory in the Grid Infrastructure software home You can find details for how to do this in 6 This snippet shows how to run the Orion tool with the help argument: [oracle@london1 bin]$ /orion -help ORION: ORacle IO Numbers -- Version 112010 ORION runs IO performance tests that model Oracle RDBMS IO workloads It measures the performance of small (2-32K) IOs and large (128K+) IOs at various load levels ...



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Figure 5-11. Choosing the deployment option The next window (shown in Figure 5-12) allows you to specify the name of the assembly and library. You can use the defaults provided in this window.





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There are a number of options for configuring the type of I/O workload; however, the initial preliminary set of data can be collected, as follows: [root@london1 bin]# /orion -run simple -testname prod ORION: ORacle IO Numbers -- Version 112010 prod_20091113_1511 Calibration will take approximately 9 minutes Using a large value for -cache_size may take longer Within the working directory, a number of data files are produced, including a summary of performance data that corresponds to the storage-related values discussed previously in this chapter, including megabytes per second throughput, IOPS, and latency: Maximum Large MBPS=9109 @ Small=0 and Large=1 Maximum Small IOPS=1454 @ Small=5 and Large=0 Minimum Small Latency=290670 usecs @ Small=1 and Large=0 Other workloads in addition to simple include normal, oltp, dss with oltp reporting, IOPS, and latency and dss focusing on megabytes per second.

from orders o inner join employees e on o.employeeid = e.employeeid inner join customers c on o.customerid = c.customerid

The subsequent step allows you to choose the assemblies to copy over to the Oracle database and also to specify an alternate destination folder for these assemblies. Figure 5-13 shows the window involved. Use the defaults provided in this window.

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Also, some advanced configurations give more opportunity to fine-tune the I/O workload, such as specifying different block sizes from the default..

I/O Calibration is also available within the Oracle 11g database in its DBMS_RESOURCE_MANAGER package. This procedure implements a read-only workload and is run as follows by specifying the input parameters of the number of physical disks on which the Oracle Database is installed, as well as the maximum tolerated latency in milliseconds: SQL> set serveroutput on declare max_iops integer; max_mbps integer; actual_latency integer; begin dbms_resource_manager.calibrate_io ( num_physical_disks => 15, max_latency => 10, max_iops => max_iops, max_mbps => max_mbps, actual_latency => actual_latency); dbms_output.put_line ('IOPS = ' || max_iops); dbms_output.put_line ('MBPS = ' || max_mbps); dbms_output.put_line ('Latency = ' || actual_latency); end; / The procedure may take up to 10 minutes to complete, and the status of the calibration process can be viewed as follows: SQL> select inst_id, status from gv$io_calibration_status; INST_ID ---------1 2 STATUS ------------IN PROGRESS IN PROGRESS

The result of the first join, which matches orders to employees, is matched against the Customers table from which the appropriate customer name is retrieved for each matching row from the first join. Since referential integrity exists between Orders and both Employees and Customers, all Orders rows have matching rows in the other two tables. How the database actually satisfies such a query depends on a number of things, but joins are such an integral part of relational database operations that query optimizers are themselves optimized to find efficient access paths among multiple tables to perform multiple joins. However, the fewer joins needed, the more efficient the query, so plan your queries carefully. Usually, you have several ways to code a query to get the same data, but almost always only one of them is the most efficient. Now you know how to retrieve data from two or more tables when the rows match. What about rows that don t match That s where outer joins come in.

Figure 5-13. Specifying copy options As a last step, the wizard allows you to selectively specify the methods that you wish to deploy to the database. See Figure 5-14 for an example.

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