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CHAPTER 20 PERFOR MAN CE TUNING: TUNING THE INSTA NCE
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To the right of the Average Active Sessions screen, you can see the breakdown of the components that contribute to session time. For example, if you see user I/O as the main culprit for high waits, you can click this component to find out details about the wait. Figure 20-5 also shows the buttons you can click to run the ADDM or get an ASH report. You can also click the link for Top Activity to find out details about the sessions that are most responsible for waits in your instance right now. Figure 20-6 shows the Top Activity page of the Database Control. Database activity is ranked into Top SQL and Top Sessions. You can run the SQL Tuning Advisor from here to get tuning recommendations about the top SQL statements.
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Figure 20-6. The Top Activity page of the Database Control If you suspect that an individual session is wait bound or you get complaints from particular users that their sessions are running slowly, you can examine the Top Sessions page. You can go the Top Sessions page by clicking the Top Sessions link under the Additional Monitoring Links group on the Performance page. Once you get to the Top Sessions page, click the username and SID you re interested in. That takes you to the Session Details page for that session. By clicking the Wait Event History tab in the Session Details page, you can see the nature of the recent waits for that session. Figure 20-7 shows the Wait Event History for a session.
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Figure 20-7. The Wait Event History for a session
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The Performance Data Report Page
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You can get to the Performance Data Report page by clicking the Create ASH Report button in the Average Active Sessions screen on the Database Control s Performance home page. The AWR reports are good for analyzing instance performance, but they re usually collected at 30-minute or 1-hour intervals. What if you have a three-to-four-minute performance spike that s not shown in the aggregated AWR report ASH reports focus on session-sampling data over a recent period of time. When you click the Create ASH Report button, you re given a choice as to the time period over which you want to create your ASH report. You can choose a time period that lies within the last seven days, because that s how long the AWR saves its statistics. Remember that ASH statistics are saved in the AWR repository. Figure 20-8 shows the ASH report, which relies on the V$ACTIVE_ SESSION_HISTORY view. This is the same ASH report that you can produce by running the ashrpt.sql script. It contains information about the following items: Top Events Load Profile Top SQL Top Sessions, including Top Blocking Sessions Other entities causing contention in the instance, including Top Database Objects, Top Database Files, and Top Latches Activity Over Time
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CHAPTER 20 PERFOR MAN CE TUNING: TUNING THE INSTA NCE
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Figure 20-8. The ASH report
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Are There Any Long-Running Transactions
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You can use the V$SQL view, as shown in the following example, to find out which of the SQL statements in the instance are taking the most time to finish and are the most resource intensive. The query ranks the transactions by the total number of elapsed seconds. You can also rank the statements according to CPU seconds used. SQL> 2 3 4 5 SELECT hash_value, executions, ROUND (elapsed_time/1000000, 2) total_time, ROUND (cpu_time/1000000, 2) cpu_seconds FROM (SELECT * FROM V$SQL ORDER BY elapsed_time desc); TOTAL_TIME CPU_SECONDS ---------- ----------9.51 9.27 4.98 5.01
HASH_VALUE EXECUTIONS ---------- ---------238087931 168 1178035321 108 . . . SQL>
Once you have the value for the HASH_VALUE column from the query you just ran, it s a simple matter to find out the execution plan for this statement, which is in your library cache. The following query uses the V$SQL_PLAN view to get you the execution plan for your longest-running SQL statements: SQL> SELECT * FROM V$SQL_PLAN WHERE hash_value = 238087931;
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