MacBooster3 (and mini macbooster)
I can't even remember when it happened, but I found something called MacBooster3 on the upper right side of my menu, where the noise, the date and the time are. When I clicked it, it turns out be something that looks like a sign of dashboard with instruments on this subject. I did some reading on it and a few posters on the internet said to be careful with it, because it could have malicious software on it and that is not really necessary. So, until I throw out, can someone tell me if I need this app? As I mentioned before, I don't have any idea where it came from, but it's in my applications folder. I would be grateful for any feedback. Thanks in advance for any help. ~ K
can someone tell me if I need this app?
N ° any software that is supposed to automatically "clean up" or "accelerate" a Mac is a scam.
Tags: Mac OS & System Software
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Grouping data with dates of Max and Min problem
Ladies and gentlemen,
I have a problem that I have tried from different angles. It's probably very easy for some of you, or some of you may have met before, so any help on this is greatly appreciated. I will describe below.
I have the following data:
User station site code dstamp ref Qty
-------- --------- ---------- ------------- --------------------------------------------- ------- -------
Site_1 user_1 RPT104 Activity_1 16 May 11 13.43.06.566193000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.49.31.364224000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.49.47.413252000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.51.48.906793000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.51.56.947312000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.54.29.396052000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.54.37.444307000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.57.00.237546000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.57.04.285148000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.59.24.745162000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 13.59.44.774318000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 14.01.22.434940000 ref_1 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 14.01.51.291059000 ref_1 1125
Site_1 user_1 RPT104 Activity_2 16 May 11 14.05.23.572211000 ref_2 1125
Site_1 user_1 RPT104 Activity_1 16 May 11 14.06.01.058978000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.41.341612000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.375972000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.388699000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.401287000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.413361000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.425675000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.437360000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.449079000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.460697000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.472606000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.484031000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.495551000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.513645000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.530405000 ref_1 1125
and I'm looking for it in this format:
Site user station code start end ref Qty
-------- --------- ---------- ------------- --------------------------------------------- --------------------------------------------- ---------- -------
Site_1 user_1 RPT104 Activity_1 13.43.06.566193000 16 May 11 May 16, 11 14.05.23.572211000 ref_1 1125
Site_1 user_1 RPT104 Activity_2 14.05.23.572211000 16 May 11 May 16, 11 14.06.01.058978000 ref_2 1125
Site_1 user_1 RPT104 Activity_1 14.06.01.058978000 16 May 11 May 16, 11 14.06.41.341612000 ref_1 1125
Site_1 user_1 RPT104 Activity_3 14.06.41.341612000 16 May 11 (May 16, 11 14.06.49.530405000 + 4secs ref_1 1125)
either may 16, 11 14.06.53.530405000)
I can get the hours start and end without problem using data intial twice and it compensation by a rownum is but using the functions max and min based on the data that I get:
Site user station code start end ref Qty
-------- --------- ---------- ------------- --------------------------------------------- --------------------------------------------- ---------- -------
Site_1 user_1 RPT104 Activity_1 16 May 11 13.43.06.566193000 * May 16, 11 14.06.41.341612000 * ref_1 1125
Site_1 user_1 RPT104 Activity_2 14.05.23.572211000 16 May 11 May 16, 11 14.06.01.058978000 ref_2 1125
Site_1 user_1 RPT104 Activity_3 * 14.06.41.341612000 * 16 May 11 (May 16, 11 14.06.49.530405000 + 4secs ref_1 1125)
either may 16, 11 14.06.53.530405000)
who is missing on the 3rd line of the previous dataset (if everything goes well in fat after validation) and assigns the wrong time end.
I think the solution may have soemthing to do using the function dense_rank() (any ORDER by code, start) but I'm not too familiar with it and I think that the facts in the Start column data is unique it affects its functioning.
If anyone can offer any help or point me in the right direction I'll offer eternal grace and rest a drink we should never meet!
see you soon
Published by: MickyMick on June 7, 2011 03:21BobLilly wrote:
Tabibitosan of Aketi method can be applied here (see {: identifier of the thread = 1005478})Site_1 user_1 RPT104 Activity_1 2011-05-16 13.43.06.566193000 2011-05-16 14.05.23.572211000 ref_1 1125
Site_1 user_1 RPT104 Activity_2 2011-05-16 14.05.23.572211000 2011-05-16 14.06.01.058978000 ref_2 1125
Site_1 user_1 RPT104 Activity_1 2011-05-16 14.06.01.058978000 2011-05-16 14.06.41.341612000 ref_1 1125
Site_1 RPT104 Activity_3 2011-05-16 14.06.41.341612000 user_1 ref_1 14.06.45.341612000 2011-05-16 1125According to OP we may 16, 11 14.06.49.530405000 + 4secs. In any case, use method start_of_group:
With t as ( Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.43.06.566193000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.49.31.364224000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.49.47.413252000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.51.48.906793000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.51.56.947312000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.54.29.396052000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.54.37.444307000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.57.00.237546000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 13.57.04.285148000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as 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HH24:MI:SS.FF') as DTStamp, 'ref_2' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code , to_timestamp('16-MAY-11 14.06.01.058978000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.41.341612000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.375972000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.388699000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.401287000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.413361000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.425675000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.437360000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.449079000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.460697000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.472606000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.484031000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.495551000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.513645000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code , to_timestamp('16-MAY-11 14.06.49.530405000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual ), t1 as ( select t.*, lead(DTStamp,1,DTStamp + interval '4' second) over(order by DTStamp) ENDTS, case when lag(Site) over(order by DTStamp) = Site and lag(Usr) over(order by DTStamp) = Usr and lag(Station) over(order by DTStamp) = Station and lag(Code) over(order by DTStamp) = Code and lag(Ref) over(order by DTStamp) = Ref and lag(Qty) over(order by DTStamp) = Qty then 0 else 1 end start_of_group from t ), t2 as ( select t1.*, sum(start_of_group) over(order by DTStamp) grp from t1 ) select Site, Usr, Station, Code, min(DTStamp) STARTTS, max(ENDTS) ENDTS, Ref, Qty from t2 group by grp, Site, Usr, Station, Code, Ref, Qty order by STARTTS / SITE USR STATIO CODE STARTTS ENDTS REF QTY ------ ------ ------ ---------- ----------------------------------- ----------------------------------- ----- ---------- Site_1 user_1 RPT104 Activity_1 16-MAY-11 01.43.06.566193000 PM 16-MAY-11 02.05.23.572211000 PM ref_1 1125 Site_1 user_1 RPT104 Activity_2 16-MAY-11 02.05.23.572211000 PM 16-MAY-11 02.06.01.058978000 PM ref_2 1125 Site_1 user_1 RPT104 Activity_1 16-MAY-11 02.06.01.058978000 PM 16-MAY-11 02.06.41.341612000 PM ref_1 1125 Site_1 user_1 RPT104 Activity_3 16-MAY-11 02.06.41.341612000 PM 16-MAY-11 02.06.53.530405000 PM ref_1 1125 SQL>
SY.
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What is Server MT Max and min MT serve
Hi all
What is MT Max and Min MT servers means in Siebel?
Why we need to use it. ?
Please give me an idea on this
Concerning
RemyHere is an excerpt:
Our basic recommendation is to have 20 tasks by server of MT. (A server (Multi-Threaded) MT is equivalent to an operating system process).
Consider the expected number of concurrent users for the application in the application design phase. Although there may be a large number of potential users, a smaller number will be connected at one time. For the purposes of the following discussion, assume that there are 100 to 200 concurrent users.
There are a lot of variables to consider when you grant an object manager. This development should be discussed with Siebel Expert Services in the Production readiness review. Here are some variables to consider.
The number of concurrent users.
The duration of each user spends on the system during a session.
The session timeout.
The use of scripts.
Complexity of the application.
High usage time. (80% of users are online from 11:00 to 03:00)...
The parameters used for this component object Siebel Manager are as follows:
Maximum task = 300
Maximum MT servers = 15
Minimum MT servers = 5Maximum task represents the total number of concurrent users. Given that the expected number of concurrent users is between 100-200, that the parameter has been set to allow extra room for manoeuvre. This is important in order to allow the sessions which do not disconnect properly and so drag until the session timeout is reached. Session timeout can be set in the Web server and is usually set by default to 20 minutes.
Maximum MT servers is the total number of processes that can be run for this component. It is also used to calculate how many tasks can be performed on each process. The calculation is as follows:
Maximum task / Server MT = Maximum number of tasks per MT Server
300 / 15 = 20
As mentioned earlier, our basic recommendation is that the maximum task to MT Maximum servers report is 20. A widely configured or scripted application may require a smaller report.
Minimum server MT is used only when the Siebel server or component is started. This allows to determine how many process starting for this component. The only advantage it gives, it is that it reduces the initialization of the process time when a new MT server is required. In this example, 5 MT servers have been used because 100 users are expected. In this way, the system can handle 100 concurrent users before you have so that it starts a new process.
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