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00 HEAD "CLASS AS|% OF WHOLE" col "EVENT AS % OF CLASS" like "CLASS AS % OF WHOLE" HEAD "EVENT AS|% OF CLASS" col "EVENT AS % OF WHOLE" like "CLASS AS % OF WHOLE" HEAD "EVENT AS|% OF WHOLE" set pagesize 30 break on wait_class on "CLASS AS % OF WHOLE" -select wait_class, round(100 * time_class / total_waits, 2) "CLASS AS % OF WHOLE", event, round(100 * time_waited / time_class, 2) "EVENT AS % OF CLASS", round(100 * time_waited / total_waits, 2) "EVENT AS % OF WHOLE" from (select wait_class ,event ,time_waited ,sum(time_waited) over (partition by wait_class) time_class ,rank() over (partition by wait_class order by time_waited desc) rank_within_class ,sum(time_waited) over () total_waits from v$system_event where wait_class <> 'Idle') where rank_within_class <= 3 order by time_class desc, rank_within_class; Here is a snippet of the output: CLASS AS EVENT AS EVENT AS WAIT_CLASS % OF WHOLE EVENT % OF CLASS % OF WHOLE ------------ ---------- -------------------------------- ---------- ---------System I/O 15.
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What s good about this kind of API is that unless you distribute your application to other parties that run the server independently, you can count and analyze access frequency and communication, as it all happens on your server This can help you analyze possible misuses of your socket You know what others do when using it, you can analyze their requests, and you can make sure your responses are sane You can adjust your responses over time, but you still have to ensure that you can deal with any connection, as there is no way to restrict those who can connect to your port Your port, which is now your API, is open for everyone The other issue amplified by the use of network protocols is the widespread proliferation of various clients and protocol versions that are used to talk to your application.
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50 log file parallel write 6014 932 db file parallel write 1859 288 control file parallel write 1780 276 Commit 1434 log file sync 10000 1434 User I/O 1240 db file scattered read 5947 737 db file sequential read 2611 324 direct path read 599 074 From the System I/O section of the report, the log file parallel write event could indicate contention in the online redo log files Similarly, from the User I/O section, the db file scattered read wait event could indicate that excessive full table scans are being performed by SQL queries If you think your problem is with SQL performance, see 19 for details on how to isolate poorly performing SQL Table 20-1 lists some common wait events that affect performance.
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This is by no stretch of the imagination an exhaustive list It is just a sample of the many types of wait events, with descriptions and possible courses of action There are currently over 900 different types of wait events (this varies by the version of Oracle you re using) For a complete list and description of all wait events, refer to Oracle s Database Reference Guide at otnoraclecom..
Note You may notice that in the example shown in Listing 9-8, you are outputting two elements that, although they are members of the ChannelItemEntity class, they are optional within the feed and so have been omitted from the feed. This is normal; it just means that the values displayed will be blank.
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