Simple .NET/ASP.NET PDF document editor web control SDK

99 ops$tkyte%ORA11GR2> column "temp write" format 9,999 ops$tkyte%ORA11GR2> column "tot writes temp" format 99,999,999 ops$tkyte%ORA11GR2> column writes_diff format 9,999,999 ops$tkyte%ORA11GR2> select active, 2 pga, 3 "tot PGA", 4 "tot PGA"-lag( "tot PGA" ) over (order by active) pga_diff, 5 "temp write", 6 "tot writes temp", 7 "tot writes temp"-lag( "tot writes temp" ) over (order by active) writes_diff 8 from ( 9 select * 10 from ( 11 select active, 12 name, 13 case when name like '%ga mem%' then round(value/1024/1024,1) else value end val 14 from sess_stats 15 where active < 275 16 ) 17 pivot ( max(val) for name in ( 18 'session pga memory' as "PGA", 19 'total: session pga memory' as "tot PGA", 20 'physical writes direct temporary tablespace' as "temp write", 21 'total: physical writes direct temporary tablespace' as "tot writes temp" 22 ) ) 23 ) 24 order by active 25 / ACTIVE PGA tot PGA PGA_DIFF temp write tot writes temp WRITES_DIFF ------ ------ ------- -------- ---------- --------------- ----------0 2.

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0 62 0 6,658 1 114 156 940 0 6,658 0 26 97 1030 8740 0 115,179 108,521 51 12 1643 6130 1,055 345,960 230,781 76 28 1962 3190 1,057 588,922 242,962 102 12 1778 -1840 1,715 727,835 138,913 127 11 1713 -650 3,699 1,206,949 479,114 151 10 1919 2060 5,724 1,864,445 657,496 177 10 2169 2500 6,677 2,736,554 872,109 201 10 2557 3880 6,686 3,994,030 1,257,476 227 10 2869 3120 6,683 5,723,449 1,729,419 253 10 3040 1710 6,669 7,992,572 2,269,123 10 rows selected..

workerMenu.MenuItems.Add(new MenuItem("Cancel",onClick=(fun _ args -> text.Text <- "Cancelling"; worker.CancelAsync()))) form.Closed.Add(fun _ -> worker.CancelAsync()) When run in F# Interactive, a window appears as in Figure 13-1.

Before we analyze the results, let s look at the query I used for reporting My query uses a new Oracle Database 11g Release 1 and above feature called pivot to pivot a resultset.

Here s an alternate way to write lines 11 through 22 of that SQL query that would work in 10g Release 2 and before: 11 select active, 12 max( decode(name,'session pga memory',val) ) pga, 13 max( decode(name,'total: session pga memory',val) ) as "tot PGA", 14 max( decode(name, 'physical writes direct temporary tablespace', val) ) as "temp write", 15 max( decode(name, 'total: physical writes direct temporary tablespace', val) ) as "tot writes temp" 16 from ( 17 select active, 18 name, 19 case when name like '%ga mem%' then round(value/1024/1024,1) else value end val 20 from sess_stats 21 where active < 275 22 ) 23 group by active 24 ) This part of the query retrieved the records from the table of metrics when there were less than 225 active sessions, converted the metrics for memory (UGA/PGA memory) from bytes into megabytes, and then pivoted turned rows into columns on the four interesting metrics.

Note Forcibly aborting computations uncooperatively is not recommended in .NET programming. You can attempt to do this using System.Threading.Thread.Abort(), but the use of this method may have many unintended consequences, discussed later in this chapter.

Once we got those four metrics in a single record, we used analytics (the LAG() function specifically) to add to each row the prior rows total observed PGA and total observed IO to temp so we could easily see the incremental differences in these values Back to the data as you can see, when I had a few active sessions, my sorts were performed entirely in memory For an active session count of 1 to somewhere less than 50, I could sort entirely in memory However, by the time I had 50 users logged in and actively sorting, the database started reining in the amount of memory I was allowed to use at a time It would have taken a couple of minutes before the amount of PGA being used fell back within acceptable limits (the 256MB request), but eventually it would at these low concurrent user levels.

The amount of PGA memory allocated to the session we were watching dropped from 114MB to 97MB to 12MB (and popped back up a bit and then went back down again), and eventually went down to around 11 to 10MB (remember, parts of that PGA are not for sorting, but are for other operations; just the act of logging in created a 5MB PGA allocation) The total PGA in use by the system remained within tolerable limits until somewhere around 225 users At that point, I started to exceed on a regular basis the PGA_AGGREGATE_TARGET, and continued to do so until the end of the test.