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Before you start the workload replay, you must remap all external connections by executing the REMAP_CONNECTION procedure as shown here. SQL> exec dbms_workload_replay.remap_connection (connection_id =>999, replay_connection => 'prod1:1521/testdb'); Remapping connections ensures users can connect to all the external databases. If you leave the REPLAY_CONNECTION parameter out, all replay sessions will automatically try connecting to the default host.

Load Profile Per Second ~~~~~~~~~~~~ -----------------... Parses: 56.4 Hard parses: 12.2 ... Instance Efficiency Indicators ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Buffer Nowait %: 100.00 Buffer Hit %: 99.99 Library Hit %: 97.43 Execute to Parse %: 97.90 Parse CPU to Parse Elapsd %: 80.60

Recently, I was working with a customer running a large production application This application had been ported from SQL Server to Oracle I enclose the term ported in quotes simply because most ports I see are of the what is the minimal change we can make to have our SQL Server code compile and execute on Oracle variety To port an application from one database to another is a major undertaking The algorithms should be examined in detail to see if they work correctly in the target database; features such as concurrency controls and locking mechanisms work differently in different databases, and this in turn affects the way the application will function in different databases The algorithms should also be looked at to see if there is a sensible way to implement them in the target database.

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The next step is the setting of various workload replay options. You can select from one of the following four options: SYNCHRONIZATION: The default for this parameter is true. This option preserves the commit order of the workload during the replay. With this parameter set to true, you can eliminate data divergence caused by not following the commit order among dependent transactions. CONNECTION_TIME_SCALE: This parameter lets you adjust the time between the beginning of the workload capture and the time when a session connects with the specified value. By adjusting this parameter, you can control the number of concurrent users during the replay. THINK_TIME_SCALE: This parameter enables you to calibrate the elapsed time between user calls in the same session. The smaller the value, the faster the client requests are sent to the database.

Per Transaction Per Exec Per Call ----------------- ----------- ----------376.0 81.0

During a workload capture, elapsed time consists only of user time and user think time, whereas during a workload replay, elapsed time also includes the synchronization time component.

The applications that result from a minimal port are, frankly, the ones I see most often because they are the ones that need the most help Of course, the opposite is equally true: taking an Oracle application and just plopping it on top of SQL Server with as few changes as possible will result in a problematic and poorly performing application In any event, the goal of this port was to scale up the application to support a larger installed base of users However, the customer wanted to achieve this aim with as little work as humanly possible So, the customer kept the architecture basically the same in the client and database layers, the data was moved over from SQL Server to Oracle, and as few code changes as possible were made.

THINK_TIME_AUTO_CORRECT: If you set this parameter to true, the database automatically corrects the think time specified by the THINK_TIME_SCALE parameter. For example, if the replay is moving slowly, the database reduces the value of the THINK_TIME_SCALE parameter. By default, this parameter is set to false.

Redo NoWait %: Optimal W/A Exec %: Soft Parse %: Latch Hit %: % Non-Parse CPU:

Before replaying the captured workload, prepare the workload by executing the PREPARE_REPLAY procedure: SQL> dbms_workload_replay.prepare_replay (replay_name => 'replay1',replay_dir => 'test_dir', synchronization= FALSE); If the workload consists mostly of independent transactions, it s better to ignore the commit order by setting the SYNCHRONIZATION parameter to false, as shown in the example.

The decision to impose on Oracle the same application design as was used on SQL Server had grave consequences The two most critical ramifications of this decision were as follows: The connection architecture to the database was the same in Oracle as it was in SQL Server The developers used literal (nonbound) SQL These two ramifications resulted in a system that could not support the required user load (the database server simply ran out of available memory), and abysmal performance for the set of users that could log in and use the application..

Execute the START_REPLAY procedure to begin the workload replay, as shown here: SQL> exec dbms_workload_replay.start_replay();

99.99 100.00 78.46 99.44 96.19

If your database consists of large read-only tables, consider using the Oracle table compression feature to save storage space.

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