How to calculate the number of TPS supported by any solaris server for example one server with below configuration .
Sun Blade X6270 with two 4-core processors
2 x 300 GB internal disk drives
I am trying to determine the number of times a value appears and display the count. However the value can only be counted once per 'trip' even though it may appear several times per trip.
for e.g.
Quote:trip table
-------
trip_id start_date end_date duration
445 01-jan-12 03-jan-12 3
Quote:pickup table
--------
pickup_id trip_id company
1 445 randomname
2 445 randomname
3 445 google.inc
4 878 randomname
with the above data the expected value would be two because the trip id appears twice so it was just the one trip - given a count of one. I am not sure how create a query to check this.
I have a table that holds the definition of schedules, a schedule defines when a document should be submitted to a specific party. The schedule definition contains a start date, and end date, a recurrence type (is this submitted one time, or on a recurring schedule) and the frequency at which the document should be submitted. The second table provides a history of the submissions, this stores when it was due and when it was received. At the beginning of the month we pre-populate the submittal table with a list of records that will be due for the month. For instance, on September 1 we look through all of the schedules and determine which ones would have a record due at some point in 9/12 and then create a record in the submittal table.
I am having issues getting the calculated list of submittal records to work properly.
The DDL and DML will be in a follow-up post
Here is the query that I am currently using and fails to work properly.
with schedules as (
-- generate a list of valid permit schedules
select s.schedule_id,s.submittal_frequency_months,s.recurrence_type,
s.first_due_date,s.requires_approval,
round(round(months_between(to_date('09/01/2012','mm/dd/yyyy'),s.first_due_date))/decode(s.submittal_frequency_months,0,1,s.submittal_frequency_months)) recurrence_number
[Code]....
-- create a list of all potential due dates for these schedules
select submittal_id_seq.nextval,schedule_Id,8,requires_approval,
case
when recurrence_type='One Time'
then first_due_date
when recurrence_type='Recurring' and trunc(first_due_date)=to_date('09/01/2012','mm/dd/yyyy')
[Code]....
-- exclude those that already have a submittal record ;
Basically I found all possible records in the schedule table that could have a record due in September, then generate a result for all possible instances and then look at only those whose calculated due date is 09/01/2012. I've determined that the root problem I have right now is this line:
(select level iteration from dual connect by level <= (select max(schedules.recurrence_number) from schedules)) d
Schedule ID 469907 has a start date of 05/15/1992 and a frequency of every 2 months. I calculate what I call the recurrence number, which is the number of times the schedule has happened since its start date to now. I use that to do an add_months calculation from the start date and then eventually compare these calculted start dates with my target month (09/12). In this one records case the calculated recurrence number is 122. So when I generate the connect by level is does 122 records for every schedule, so I end up with duplicate records in the submittal table for many of the schedules. This current query could probably work if I could figure out a way to make the level be schedule ID specific, but I've failed at that thus far.
Aside from the fact that this is returning the wrong results, I am thinking there must be a better more efficient method to determine which records are due for a given month. I was thinking there is probably some cool way to use the model clause here, but I haven't got a grasp on that one yet.
If you run the following insert statement you'll see that it inserts over 2400 records:
insert into submittal (submittal_id,schedule_id,submittal_status_type_id,requires_approval,due_date,created_by,created_date,modified_by,modified_Date)
with schedules as (
-- generate a list of valid permit schedules
select s.schedule_id,s.submittal_frequency_months,s.recurrence_type,
s.first_due_date,s.requires_approval,
[Code]....
-- only submittals whose last due date has not passed, null last date included
and trunc(s.first_due_date,'mm') <= to_date('09/01/2012','mm/dd/yyyy') -- only valid start dates
--and round(round(months_between(to_date('09/01/2012','mm/dd/yyyy'),s.first_due_date))/decode(s.submittal_frequency_months,0,1,s.submittal_frequency_months)) >0
)
-- create a list of all potential due dates for these schedules
select submittal_id_seq.nextval,schedule_Id,8,requires_approval,
case
when recurrence_type='One Time'
then first_due_date
when recurrence_type='Recurring' and trunc(first_due_date)=to_date('09/01/2012','mm/dd/yyyy')
[Code]...
You can see the problem after words:
select schedule_id,count(0)
from submittal
where trunc(due_date,'mm')=to_date('09/01/2012','mm/dd/yyyy')
and submittal_status_type_id=8
having count(0) >1
group by schedule_id;Tony
How to find out who has dropped and when was the index created in database?
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1)
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View 4 Replies View RelatedOk assume there is a table (TableA) in this format
col1col2 col3col4col5col6
--------------------------------------------------------------
R1route1route1Description1AABBCC
R1route1route1Description1AACC
R1route1route1Description1CCBB
R2route2route1Description2GGKKLL
R2route2route1Description2GGLL
R2route2route1Description2LLKK
[Code]..
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What is the best way to do this?
Here is what i have come up with but it doesnt quite returned the correct result.
select * from tableA a
Where not exists(
select 1 from tableA b
where instr(col6,col4,1)>0 and instr(col6,col1,1)>0)
And a.col1=b.col1
And a.col2=b.col2
And a.col3=b.col3
)
Is there an easier way to achieve this?
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The application configruation is invisible to me.Do I need to do some calculations based on statistic metrics from v$statname?
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The following is from manual, but the application configuration is invisible to me.
[URL]
Setting the Fetch Size
The following methods are available in all Statement, PreparedStatement, CallableStatement, and ResultSet objects for setting and getting the fetch size:
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•int getFetchSize() throws SQLException
I'm trying to determine if/when a possible Hierarchical circular reference will occur in my data
Sample Hierarchical structure that I have
Emp -> Supv
A
BA
CB
DC
EC
[Code]....
Finally, to my question. It seems that I can detect the problem After it happens but do I need a trigger on the update statement to detect if/when a possible circular reference will occur?? or can I run a sql statement prior to update to detect possible circular reference?
Is this the right query to determine index fragmentation ?
SELECT AVG (tfrag)
FROM (SELECT /*+ ORDERED USE_NL(i) INDEX(i DR$TEXT_IDX$X) */
i.token_text,
(1
[code]...
The reason I am asking that before index rebuild it returned 86% but after rebuild (ALTER INDEX .. REBUILD) it returned
96% which does not make sense.
I did try ctx_report.index_stats but it takes more time to run.
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Or, would the easiest thing be to create two copies of the script - one for Windows and one for Linux? :)
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when not matched then
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with reference to
[URL]......
Quote:
A.2.2 Writing Backup Scripts for Disk and Tape Scenarios
As in the disk-only scenarios, the backup scripts in this section are categorized based on database workload. as stated very clearly it depends on the workload, more precisely the rate of block change. The size of the database can be found out based on formula from
[URL]....
so how would I know the rate of block change in order to know which script is suitable for me? I try to find out the rate of block change for the database based on change tracking file but based on
[URL].....
Quote:
The size of the change tracking file is proportional to the size of the database and the number of enabled threads of redo. The size is not related to the frequency of updates to the database. So how do I determine the rate of change? can the rate of block change based on size of archive logs?
I have the following information with me:
starting from 5/10/2011 0101
ending 5/18/2011 1114
this constitute to 9.5 days
F:
ecover_area>dir/w
1644 File(s) 27,942,770,176 bytes
2 Dir(s) 10,019,270,656 bytes free
average size of each file 27,942,770,176/1644
=16996818.841849148418491484184915
average size of each day's log = 27,942,770,176/9.5
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about 3G
If I have a database size of 92G, based on the archive log size of about 3G per day, can I conclude that a change of 3G/92G is considered as few block change?
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...
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[code]....
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Listener is OK.
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