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Oracle maintains a massive collection of dynamic performance views that track and accumulate metrics of database performance. For example, if you run the following query, you ll notice that for Oracle Database 11g, there are over 400 dynamic performance views: select count(*) from dictionary where table_name like 'V$%'; COUNT(*) ---------481 The Oracle performance utilities rely on periodic snapshots gathered from these internal performance views. Two of the most useful views with regard to performance statistics are the V$SYSSTAT and V$SESSTAT views. The V$SYSSTAT view contains over 400 types of database statistics. This V$SYSSTAT view contains information about the entire database, whereas the V$SESSTAT view contains statistics for individual sessions. A few of the values in the V$SYSSTAT and V$SESSTAT views contain the current usage of the resource. These values are: opened cursors current logons current session cursor cache current workarea memory allocated

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Even if they don t do so, there is also the AWT event dispatch thread, the finalizer thread, and so on You need to count on some amount of nondeterminism Sometimes the garbage collector simply kicks in and removes unneeded objects from memory, which can change the application s behavior We used to have a never-ending loop, which could be simulated only if two Mozilla browsers and an Evolution client were running, because then the memory was small enough to invoke the garbage collector This kind of coverage is immeasurable..

The rest of the values are cumulative. The values in V$SYSSTAT are cumulative for the entire database from the time the instance was started. The values in V$SESSTAT are cumulative per session from the time the session was started. Some of the more important performance-related cumulative values are: CPU used consistent gets physical reads physical writes

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the user of the class to iterate through its members; I ve highlighted in bold this method for clarity. As you can see in the Test class, you can instantiate an instance of the class and iterate through its members using the foreach keyword, outputting the values. The results are code that is fast, easy to read, and elegant.

That is why we suggest that people use code coverage tools as a sanity check that something is not under-tested. However, you need to remind yourself that there might still be bugs in an application, no matter how high the code coverage is. To help fight the strange shifts of an application s amoeba shape, we suggest writing a test whenever something breaks. When there is a bug report, write a test to verify it and prevent regressions. That way, coverage will be focused on the code that matters: the parts that were actually broken.

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For the cumulative statistics, the way to measure periodic usage is to note the value of a statistic at a starting point, and then note the value at a later point in time and capture the delta. This is the approach used by the Oracle performance utilities such as AWR and Statspack. Periodically Oracle will take a snapshot of the dynamic wait interface views and store them in a repository. You can access statistics regarding top-resource consuming SQL statements in the DBA_HIST_SQLSTAT AWR view. There is another related view, DBA_HIST_SNAPSHOT, which shows a record for each AWR snapshot. Similarly, the Statspack historical performance statistical data is stored in the STATS$SQL_SUMMARY table and the STATS$SNAPSHOT table contains a record for each Statspack snapshot.

Summary

In addition to these regular tests, your library needs a lot of special care. It s likely that you want to publish a Javadoc with each build and make sure it doesn t contain broken links. Moreover, you might be influenced by this book s opinion that the Javadoc is not enough. In such cases, you probably want to find a way to describe other APIs and annotate them in a way that will be easily recognizable to your API s users. Potentially, you also want to assign your API stability categories, as discussed in the section Life Cycle of an API in 4. Last but not least, you want to notify users of your API about the latest changes that have been made. For all these reasons, you might want to employ the NetBeans Javadoc extensions.

You have multiple Oracle, MySQL, and PostgreSQL databases running on a single server. The performance of the box seems sluggish. You want to pinpoint which operating system session is consuming the most resources and determine if that session is associated with a database and ultimately a specific SQL query.

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