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When it comes to monitoring disks, you should look for two things. First, check to make sure you aren t running out of room applications add more data on a continuous basis, and it is inevitable that you will have to constantly add more storage space. Second, watch your disk performance are there any bottlenecks due to slow disk input/output performance Here are the basic things to look for: Check for free space: Using simple commands, a system administrator or a DBA can check the amount of free space left on the system. It s good, of course, to do this on a regular basis so you can head off a resource crunch before it s too late. Later in this chapter, I ll show you how to use the df and the du commands to check the free space on your system. Reads and writes: The read/write figures give you a good picture of how hot your disks are running. You can tell whether your system is handling its workload well, or if it s experiencing an extraordinary I/O load at any given time.

Misses in library cache during parse: 0 Optimizer mode: ALL_ROWS Parsing user id: 412 Rows Row Source Operation ------- --------------------------------------------------1 COUNT STOPKEY (cr=77 pr=0 pw=0 time=5767 us) 1 HASH JOIN (cr=77 pr=0 pw=0 time=5756 us) 1028 HASH JOIN (cr=70 pr=0 pw=0 time=8692 us) 9 TABLE ACCESS FULL TS$ (cr=15 pr=0 pw=0 time=335 us) 1028 TABLE ACCESS FULL USER$ (cr=55 pr=0 pw=0 time=2140 us) 4 TABLE ACCESS FULL TS$ (cr=7 pr=0 pw=0 time=56 us) ******************************************************************************** select /* TAG */ substr( username, :"SYS_B_0", :"SYS_B_1" ) from all_users au2 where rownum = :"SYS_B_2" call count ------- -----Parse 1 Execute 1 Fetch 2 ------- -----total 4 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 0.00 0.00 0 0 0 0.00 0.00 0 85 0 -------- ---------- ---------- ---------- ---------0.00 0.00 0 85 0 rows ---------0 0 1 ---------1

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To use this, we might have a control file like this: LOAD DATA INFILE demo.dat "str X'7C0A'" INTO TABLE DEPT REPLACE FIELDS TERMINATED BY ',' TRAILING NULLCOLS (DEPTNO, DNAME "upper(:dname)",

The ADDM bases most of its performance recommendations on time-model statistics, the most important of which is the new DB time statistic, explained in the earlier section The Purpose of the ADDM. Time-model statistics provide a uniform way to quantify various database operations. In addition to DB time, there are other time-model statistics, such as statistics that quantify the time taken by logon statistics and hard and soft parses. You can use the new V$SESS_TIME_MODEL and V$SYS_TIME_MODEL database views to look at the time-based performance statistics. The V$SYS_TIME_MODEL view provides the accumulated time statistics for various operations in the entire database and shows the number of microseconds the database has spent on specific operations. The query in Listing 17-1 demonstrates the kind of operations for which the V$SYS_TIME_MODEL view holds time-based statistics. Listing 17-1. A Query Using the V$SYS_TIME_MODEL View SQL> SELECT stat_name, value FROM v$sys_time_model; STAT_NAME ------------------------------------------------DB time DB CPU background elaps background cpu time sequence load elapsed ti parse time elapse hard parse elapsed time sql execute elapsed time connection management call elapsed time failed parse elapsed time failed parse (out of shared memory) elapsed time hard parse (sharing criteria) elapsed time hard parse (bind mismatch) elapsed time PL/SQL execution elapsed time inbound PL/SQL rpc elapsed time PL/SQL compilation elapsed time VALUE ---------3.8422E+13 9.2726E+12 2.7506E+12 1.3335E+11 6583934097 3.0984E+11 4.7280E+10 3.7533E+13 4.3565E+10 3350540297 0 1770964950 706518501 7.0339E+11 7.3869E+12 3667675394

The V$SESS_TIME_MODEL view is similar to the V$SYS_TIME_MODEL view and provides the same types of time statistics, but it shows a session s accumulated time for the various operations rather than information for the entire database. The AWR collects time-model statistics as part of its hourly snapshots. In addition, the AWR collects object statistics, including the usage statistics for objects, system and session statistics, statistics for high-load SQL statements, and a history of recent session activity, called the Active Session History (ASH). I discuss the AWR statistics, including ASH, in 18.

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Misses in library cache during parse: 0 Optimizer mode: ALL_ROWS Parsing user id: 412 Rows ------1 1 1028 1028 9 1028 9 Row Source Operation --------------------------------------------------COUNT (cr=85 pr=0 pw=0 time=3309 us) FILTER (cr=85 pr=0 pw=0 time=3301 us) HASH JOIN (cr=85 pr=0 pw=0 time=5343 us) HASH JOIN (cr=70 pr=0 pw=0 time=7398 us) TABLE ACCESS FULL TS$ (cr=15 pr=0 pw=0 time=148 us) TABLE ACCESS FULL USER$ (cr=55 pr=0 pw=0 time=1079 us) TABLE ACCESS FULL TS$ (cr=15 pr=0 pw=0 time=90 us)

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