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  • Get percentiles of data-set with group by month

    - by Cylindric
    Hello, I have a SQL table with a whole load of records that look like this: | Date | Score | + -----------+-------+ | 01/01/2010 | 4 | | 02/01/2010 | 6 | | 03/01/2010 | 10 | ... | 16/03/2010 | 2 | I'm plotting this on a chart, so I get a nice line across the graph indicating score-over-time. Lovely. Now, what I need to do is include the average score on the chart, so we can see how that changes over time, so I can simply add this to the mix: SELECT YEAR(SCOREDATE) 'Year', MONTH(SCOREDATE) 'Month', MIN(SCORE) MinScore, AVG(SCORE) AverageScore, MAX(SCORE) MaxScore FROM SCORES GROUP BY YEAR(SCOREDATE), MONTH(SCOREDATE) ORDER BY YEAR(SCOREDATE), MONTH(SCOREDATE) That's no problem so far. The problem is, how can I easily calculate the percentiles at each time-period? I'm not sure that's the correct phrase. What I need in total is: A line on the chart for the score (easy) A line on the chart for the average (easy) A line on the chart showing the band that 95% of the scores occupy (stumped) It's the third one that I don't get. I need to calculate the 5% percentile figures, which I can do singly: SELECT MAX(SubQ.SCORE) FROM (SELECT TOP 45 PERCENT SCORE FROM SCORES WHERE YEAR(SCOREDATE) = 2010 AND MONTH(SCOREDATE) = 1 ORDER BY SCORE ASC) AS SubQ SELECT MIN(SubQ.SCORE) FROM (SELECT TOP 45 PERCENT SCORE FROM SCORES WHERE YEAR(SCOREDATE) = 2010 AND MONTH(SCOREDATE) = 1 ORDER BY SCORE DESC) AS SubQ But I can't work out how to get a table of all the months. | Date | Average | 45% | 55% | + -----------+---------+-----+-----+ | 01/01/2010 | 13 | 11 | 15 | | 02/01/2010 | 10 | 8 | 12 | | 03/01/2010 | 5 | 4 | 10 | ... | 16/03/2010 | 7 | 7 | 9 | At the moment I'm going to have to load this lot up into my app, and calculate the figures myself. Or run a larger number of individual queries and collate the results.

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  • High Runtime for Dictionary.Add for a large amount of items

    - by aaginor
    Hi folks, I have a C#-Application that stores data from a TextFile in a Dictionary-Object. The amount of data to be stored can be rather large, so it takes a lot of time inserting the entries. With many items in the Dictionary it gets even worse, because of the resizing of internal array, that stores the data for the Dictionary. So I initialized the Dictionary with the amount of items that will be added, but this has no impact on speed. Here is my function: private Dictionary<IdPair, Edge> AddEdgesToExistingNodes(HashSet<NodeConnection> connections) { Dictionary<IdPair, Edge> resultSet = new Dictionary<IdPair, Edge>(connections.Count); foreach (NodeConnection con in connections) { ... resultSet.Add(nodeIdPair, newEdge); } return resultSet; } In my tests, I insert ~300k items. I checked the running time with ANTS Performance Profiler and found, that the Average time for resultSet.Add(...) doesn't change when I initialize the Dictionary with the needed size. It is the same as when I initialize the Dictionary with new Dictionary(); (about 0.256 ms on average for each Add). This is definitely caused by the amount of data in the Dictionary (ALTHOUGH I initialized it with the desired size). For the first 20k items, the average time for Add is 0.03 ms for each item. Any idea, how to make the add-operation faster? Thanks in advance, Frank

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  • MySQL Ratings From Two Tables

    - by DirtyBirdNJ
    I am using MySQL and PHP to build a data layer for a flash game. Retrieving lists of levels is pretty easy, but I've hit a roadblock in trying to fetch the level's average rating along with it's pointer information. Here is an example data set: levels Table: level_id | level_name 1 | Some Level 2 | Second Level 3 | Third Level ratings Table: rating_id | level_id | rating_value 1 | 1 | 3 2 | 1 | 4 3 | 1 | 1 4 | 2 | 3 5 | 2 | 4 6 | 2 | 1 7 | 3 | 3 8 | 3 | 4 9 | 3 | 1 I know this requires a join, but I cannot figure out how to get the average rating value based on the level_id when I request a list of levels. This is what I'm trying to do: SELECT levels.level_id, AVG(ratings.level_rating WHERE levels.level_id = ratings.level_id) FROM levels I know my SQL is flawed there, but I can't figure out how to get this concept across. The only thing I can get to work is returning a single average from the entire ratings table, which is not very useful. Ideal Output from the above conceptually valid but syntactically awry query would be: level_id | level_rating 1| 3.34 2| 1.00 3| 4.54 My main issue is I can't figure out how to use the level_id of each response row before the query has been returned. It's like I want to use a placeholder... or an alias... I really don't know and it's very frustrating. The solution I have in place now is an EPIC band-aid and will only cause me problems long term... please help!

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  • C : files manipulation Can't figure out how to simplify this code with files manipulation.

    - by Bon_chan
    Hey guys, I have been working on this code but I can't find out what is wrong. This program does compile and run but it ends up having a fatal error. I have a file called myFile.txt, with the following content : James------ 07.50 Anthony--- 17.00 And here is the code : int main() { int n =2, valueTest=0,count=0; FILE* file = NULL; float temp= 00.00f, average= 00.00f, flTen = 10.00f; float *totalNote = (float*)malloc(n*sizeof(float)); int position = 0; char selectionNote[5+1], nameBuffer[10+1], noteBuffer[5+1]; file = fopen("c:\\myFile.txt","r"); fseek(file,10,SEEK_SET); while(valueTest<2) { fscanf(file,"%5s",&selectionNote); temp = atof(selectionNote); totalNote[position]= temp; position++; valeurTest++; } for(int counter=0;counter<2;counter++) { average += totalNote[counter]; } printf("The total is : %f \n",average); rewind(file); printf("here is the one with less than 10.00 :\n"); while(count<2) { fscanf(file,"%10s",&nameBuffer); fseek(file,10,SEEK_SET); fscanf(file,"%5s",&noteBuffer); temp = atof(noteBuffer); if(temp<flTen) { printf("%s who has %f\n",nameBuffer,temp); } fseek(file,1,SEEK_SET); count++; } fclose(file); } I am pretty new to c and find it more difficult than c# or java. And I woud like to get some suggestions to help me to get better. I think this code could be simplier. Do you think the same ?

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  • C++ new memory allocation fragmentation

    - by tamulj
    I was trying to look at the behavior of the new allocator and why it doesn't place data contiguously. My code: struct ci { char c; int i; } template <typename T> void memTest() { T * pLast = new T(); for(int i = 0; i < 20; ++i) { T * pNew = new T(); cout << (pNew - pLast) << " "; pLast = pNew; } } So I ran this with char, int, ci. Most allocations were a fixed length from the last, sometimes there were odd jumps from one available block to another. sizeof(char) : 1 Average Jump: 64 bytes sizeof(int): 4 Average Jump: 16 sizeof(ci): 8 (int has to be placed on a 4 byte align) Average Jump: 9 Can anyone explain why the allocator is fragmenting memory like this? Also why is the jump for char so much larger then ints and a structure that contains both an int and char.

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  • Array loading with doubles in C

    - by user2892120
    I am trying to load a 3x8 array of doubles but my code keeps outputting 0.00 for all of the values. The code should be outputting the array (same as the input) under the Read#1 Read#2 Read#3 lines, with the average under average. Here is my code: #include <stdio.h> double getAvg(double num1, double num2, double num3); int main() { int numJ,month,day,year,i,j; double arr[3][8]; scanf("%d %d %d %d",&numJ,&month,&day,&year); for (i = 0; i < 8; i++) { scanf("%f %f %f",&arr[i][0], &arr[i][1], &arr[i][2]); } printf("\nJob %d Date: %d/%d/%d",numJ,month,day,year); printf("\n\nLocation Read#1 Read#2 Read#3 Average"); for (j = 0; j < 8; j++) { printf("\n %d %.2f %.2f %.2f %.2f",j+1,arr[j][0],arr[j] [1],arr[j][2],getAvg(arr[j][0],arr[j][1],arr[j][2])); } return 0; } double getAvg(double num1, double num2, double num3) { double avg = (num1 + num2 + num3) / 3; return avg; } Input example: 157932 09 01 2013 0.00 0.00 0.00 0.36 0.27 0.23 0.18 0.16 0.26 0.27 0.00 0.34 0.24 0.00 0.31 0.16 0.33 0.36 0.29 0.36 0.00 0.21 0.36 0.00

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  • The most efficient way to calculate an integral in a dataset range

    - by Annalisa
    I have an array of 10 rows by 20 columns. Each columns corresponds to a data set that cannot be fitted with any sort of continuous mathematical function (it's a series of numbers derived experimentally). I would like to calculate the integral of each column between row 4 and row 8, then store the obtained result in a new array (20 rows x 1 column). I have tried using different scipy.integrate modules (e.g. quad, trpz,...). The problem is that, from what I understand, scipy.integrate must be applied to functions, and I am not sure how to convert each column of my initial array into a function. As an alternative, I thought of calculating the average of each column between row 4 and row 8, then multiply this number by 4 (i.e. 8-4=4, the x-interval) and then store this into my final 20x1 array. The problem is...ehm...that I don't know how to calculate the average over a given range. The question I am asking are: Which method is more efficient/straightforward? Can integrals be calculated over a data set like the one that I have described? How do I calculate the average over a range of rows?

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  • How to adjust and combine multiple lower quality photos into one better using FOSS?

    - by Vi
    I have multiple noisy photos (caputed without tripod) that needs to be adjusted (moved/rotated) and averaged. How it's better to do it in Linux with FOSS console-based programs? Current way is something like: mplayer mf://*.JPG -vo yuv4mpeg:file=qqq.yuv transcode -i qqq.yuv -y null -J stabilize=maxshift=500:fieldsize=100:fieldnum=6:stepsize=50:shakiness=10 transcode -i qqq.yuv -J transform=smoothing=100000:sharpen=0:optzoom=0 -y raw -o www.yuv mplayer www.yuv -vo pnm gm convert -average 0*.ppm q.ppm i.e.: Convert photos to video Apply Transcode's "Stabilize" filter Convert the video back to images Average the images. It works, but bad: photos still not perfectly adjusted and the whole sequence is very slow. What is better way of doing it?

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  • Brightness keeps changing in Windows 8.1 (on Macbook Pro Retina)

    - by gzak
    Before anyone gets too excited, it's not the "Adaptive Brightness" feature of the OS. I've already turned that off. Also it seems to have nothing to do with ambient light. It actually seems to do with the average "color" of the display. If I'm working in dark-themed Visual Studio, the brightness "pops" brighter. When I switch to the browser, it "pops" darker. So it's kind of adaptive brightness based on average pixel color (or something like that). What makes it rather annoying is that the brightness pops, rather than transitioning gradually. What is this feature, and how do I disable it (or at least make it smoother)?

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  • Ping computername - result format

    - by kamleshrao
    Hi, I am trying PING command on my Windows 7 PC after many months. While doing this, I notice the following result: Ping using computer name: D:\>ping amdwin764 Pinging AMDWIN764 [fe80::ac53:546f:a730:8bd6%11] with 32 bytes of data: Reply from fe80::ac53:546f:a730:8bd6%11: time=1ms Reply from fe80::ac53:546f:a730:8bd6%11: time=1ms Reply from fe80::ac53:546f:a730:8bd6%11: time=1ms Reply from fe80::ac53:546f:a730:8bd6%11: time=1ms Ping statistics for fe80::ac53:546f:a730:8bd6%11: Packets: Sent = 4, Received = 4, Lost = 0 (0% loss), Approximate round trip times in milli-seconds: Minimum = 1ms, Maximum = 1ms, Average = 1ms Ping using IP address: D:\>ping 192.168.1.2 Pinging 192.168.1.2 with 32 bytes of data: Reply from 192.168.1.2: bytes=32 time=75ms TTL=128 Reply from 192.168.1.2: bytes=32 time=1ms TTL=128 Reply from 192.168.1.2: bytes=32 time=1ms TTL=128 Reply from 192.168.1.2: bytes=32 time=1ms TTL=128 Ping statistics for 192.168.1.2: Packets: Sent = 4, Received = 4, Lost = 0 (0% loss), Approximate round trip times in milli-seconds: Minimum = 1ms, Maximum = 75ms, Average = 19ms Why am I not getting the Ping results with Numeric IP address in my first example? Thanks, Kamlesh

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  • How to monitor current output/receive queue length in Linux

    - by IZhen
    I want to check the capacity and performance of my network. Besides checking the txkB/s and rxkB/s via Sar, I'd also like to see the average queue length of the network interface(so that the average queueing time in the interface can be calculated). It seems that netstat can give a per socket queue length, is it possible to get a per interface statics(a bit like Network Interface\Output Queue Length in Windows)? A related and kind of reverse questions is How do I view the TCP Send and Receive Queue sizes on Windows? Thanks

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  • Configuring home wireless network

    - by dvanaria
    I'm new to setting up a home wireless network. I have Comcast tv/internet/phone service (modem included) as well as a wireless router. My question is pretty basic. How can I tell the performance of the following parts of the network? 1. incoming internet speed 2. speed of the modem 3. speed of the wireless router I basically want as fast an internet connection as possible, of course, but I'm not sure where to look for the bottleneck (and so, not sure where I can spend some money to speed things up). Right now I'm getting about 36 Mbps (as it shows in Windows). If I run an online speed test (xfinity has one) it shows Average download speed of 14.91 Mbps and Average upload speed of 5.72 Mbps. Thanks for your help.

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  • How to increase hard drive transfer speed

    - by atif089
    This is my motherboard GA-M61PME-S2 (SATA upto 3.0 Gbps) and This is my Hard Disk Samsung hd502hi Capacity 500 GB Cache 16MB Disks / Heads 1 / 2 Interface SATA 3Gb/s Spindle Speed 5400 RPM Sustained Data Rate OD 100 MB/s Average Seek 8.9 ms Average Latency 5.56 ms Data Transfer Rate 300 MB/sec Weight 470 grams Power: Idle / Seek / R-W / Spin-up 3.9W / 4.8W / 5.1W / ~24W Acoustics (sound power) 2.2 / 2.7 Bel (idle / quiet seek / performance seek) When I copy things from one partition to another they transfer at a maximum of 30 MBps. However the drive supports upto 300 MBps right ? How do I increase the transfer speeds? P.S - Using Windows XP, All partitions are NTFS.

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  • RAID Array performance on an HP Proliant ML350 G5 Smart Array E200i

    - by Nate Pinchot
    We have a client who is complaining about performance of an application which utilizes an MS SQL database. They do not believe the performance issues are the fault of the application itself. The Smart Array E200i RAID controller has 128MB cache and we have the cache set to 75% read/25% write. The disk array set to enable write caching. Recently we ran a disk performance test using SQLIO based on this guide. We used a 10 GB file for the test found that the average sequential read rate was ~60 MB/sec (megabytes/sec) and the average random read rate was ~30 MB/sec. Are these numbers on par for what the server should be performing? Better than on par? Horrible? Amazing?

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  • Sar data not collected for 10 minutes

    - by Ichorus
    We have a RedHat server whose only job is to run a JBoss server. Monitors said that memory usage spiked (we have the JVM limited to far less than the total memory on the system) and JBoss crashed. We restarted and everything seems ok now. Odd thing is that sar data for 10 min leading up to the crash is simply not there. Load average got up to the 50s. I have seen severely busy systems (350+ Load Average) still collect sar data. Does anyone have any idea what could cause sar to stop collecting data?

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  • Varnish 3.0.2 to Apache2 sometimes return error 503

    - by Ronnie Jespersen
    Hey guys I hope you can help me out here. I have an Ngingx parsing http and https to a varnish cache(3.0.2). From the varnish it is sent to apache2. Now I have for some time been tracking some strange 503 errors. But I cant seem to find the silver bullet. Currently I am logging the 503 errors through varnish this way: sudo varnishlog -c -m TxStatus:503 >> /home/rj/varnishlog503.log and then referring to the apache access log to see if any 503 requests have been handled. Today I had a health check from the firewall that failed: 20 SessionOpen c 127.0.0.1 34319 :8081 20 ReqStart c 127.0.0.1 34319 607335635 20 RxRequest c HEAD 20 RxURL c /health-check 20 RxProtocol c HTTP/1.0 20 RxHeader c X-Real-IP: 192.168.3.254 20 RxHeader c Host: 192.168.3.189 20 RxHeader c X-Forwarded-For: 192.168.3.254 20 RxHeader c Connection: close 20 RxHeader c User-Agent: Astaro Service Monitor 0.9 20 RxHeader c Accept: */* 20 VCL_call c recv lookup 20 VCL_call c hash 20 Hash c /health-check 20 VCL_return c hash 20 VCL_call c miss fetch 20 Backend c 33 aurum aurum 20 FetchError c http first read error: -1 11 (No error recorded) 20 VCL_call c error deliver 20 VCL_call c deliver deliver 20 TxProtocol c HTTP/1.1 20 TxStatus c 503 20 TxResponse c Service Unavailable 20 TxHeader c Server: Varnish 20 TxHeader c Content-Type: text/html; charset=utf-8 20 TxHeader c Retry-After: 5 20 TxHeader c Content-Length: 879 20 TxHeader c Accept-Ranges: bytes 20 TxHeader c Date: Wed, 06 Jun 2012 12:35:12 GMT 20 TxHeader c X-Varnish: 607335635 20 TxHeader c Age: 60 20 TxHeader c Via: 1.1 varnish 20 TxHeader c Connection: close 20 Length c 879 20 ReqEnd c 607335635 1338986052.649786949 1338986112.648169994 0.000160217 59.997980356 0.000402689 Now the backend server (apache) does not have any 503 error in the access log at this point. So I am confused. Is this varnish throwing a 503 because it thinks apache is to slow? There is a lot traffic coming through at this point so I know the server is up and running. I do have other 503 error codes with posts and gets so there is really no pattern. It seems to be at random times and random requests. Even in the morning when the server dosen't seem to be doing anything. I do see another pattern in the log: 4 VCL_call c recv pass 4 VCL_call c hash 4 Hash c /?id=412 4 VCL_return c hash 4 VCL_call c pass pass 4 FetchError c no backend connection 4 VCL_call c error deliver 4 VCL_call c deliver deliver Here fetcherror says "no backend connection". A summery of the FetchErrors in todays log: 16 FetchError c http first read error: -1 11 (No error recorded) 5 FetchError c http first read error: -1 11 (No error recorded) 4 FetchError c http first read error: -1 11 (No error recorded) 19 FetchError c http first read error: -1 11 (No error recorded) 5 FetchError c http first read error: -1 11 (No error recorded) 23 FetchError c http first read error: -1 11 (No error recorded) 24 FetchError c http first read error: -1 11 (No error recorded) 16 FetchError c http first read error: -1 11 (No error recorded) 6 FetchError c http first read error: -1 11 (No error recorded) 4 FetchError c http first read error: -1 11 (No error recorded) 5 FetchError c http first read error: -1 11 (No error recorded) 4 FetchError c http first read error: -1 11 (No error recorded) 4 FetchError c http first read error: -1 11 (No error recorded) 22 FetchError c http first read error: -1 11 (No error recorded) 6 FetchError c http first read error: -1 11 (No error recorded) 21 FetchError c http first read error: -1 11 (No error recorded) 26 FetchError c no backend connection 4 FetchError c no backend connection 20 FetchError c http first read error: -1 11 (No error recorded) 39 FetchError c http first read error: -1 11 (No error recorded) I haven't changed the default timeout values for varnish. This is my configuration for one of the backend servers. backend xenon { .host = "192.168.3.187"; .port = "80"; .probe = { .url = "/health-check/"; .interval = 3s; .window = 5; .threshold = 2; } } I'm running prefork module on apache2 with this configuration <IfModule mpm_prefork_module> StartServers 1 MinSpareServers 2 MaxSpareServers 5 MaxClients 200 MaxRequestsPerChild 75 </IfModule> and only PHP files is sent to the server. Every other static file is handled by Nginx. Any ideas? ------- EDIT -------------- Some more debuging information I have run a varnishadm debug.health Backend radon is Healthy Current states good: 5 threshold: 2 window: 5 Average responsetime of good probes: 0.002560 Oldest Newest ================================================================ 4444444444444444444444444444444444444444444444444444444444444444 Good IPv4 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Good Xmit RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR Good Recv HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH Happy Backend xenon is Healthy Current states good: 5 threshold: 2 window: 5 Average responsetime of good probes: 0.002760 Oldest Newest ================================================================ 4444444444444444444444444444444444444444444444444444444444444444 Good IPv4 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Good Xmit RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR Good Recv HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH Happy Backend iridium is Healthy Current states good: 5 threshold: 2 window: 5 Average responsetime of good probes: 0.000849 Oldest Newest ================================================================ 4444444444444444444444444444444444444444444444444444444444444444 Good IPv4 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Good Xmit RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR Good Recv HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH Happy Backend aurum is Healthy Current states good: 5 threshold: 2 window: 5 Average responsetime of good probes: 0.002100 Oldest Newest ================================================================ 4444444444444444444444444444444444444444444444444444444444444444 Good IPv4 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Good Xmit RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR Good Recv HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH Happy And I have been monitoring varnishstat from the two load balancers 3224774 3.99 2.61 backend_conn - Backend conn. success 27 0.00 0.00 backend_unhealthy - Backend conn. not attempted 63 0.00 0.00 backend_fail - Backend conn. failures 358798 0.00 0.29 backend_reuse - Backend conn. reuses 21035 0.00 0.02 backend_toolate - Backend conn. was closed 379834 0.00 0.31 backend_recycle - Backend conn. recycles 26 0.00 0.00 backend_retry - Backend conn. retry 3217751 5.99 2.61 backend_conn - Backend conn. success 32 0.00 0.00 backend_fail - Backend conn. failures 364185 0.00 0.30 backend_reuse - Backend conn. reuses 27077 0.00 0.02 backend_toolate - Backend conn. was closed 391263 0.00 0.32 backend_recycle - Backend conn. recycles 36 0.00 0.00 backend_retry - Backend conn. retry Notice that none of them have reported backend_fail. /Ronnie

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  • Access Monit on PHP

    - by xian
    i have a remote server (Centos 5.8) and i have installed monit on it as my monitoring tool. monit installation yum install monit now, on my local machine (still Centos5.8), i want to get the system status (shown below) of the said server provided by monit --------------------------------------------------- | Parameter | Value | --------------------------------------------------- | Name | serverHostname | | Status | Running | | Monitoring mode | active | | Monitoring status | Monitored | | Data collected | Fri, 22 Jun 2012 16:47:01 | | Load average | [0.32] [0.37] [0.43] | | CPU usage | 3.3%us 0.2%sy 0.0%wa | | Memory usage | 2005212 kB [53.9%] | | Swap usage | 893256 kB [21.8%] | --------------------------------------------------- This information is shown when you clicked on the system name link found on the your monit's home page http://localhost:2812 How can I do that in php? How can I retrieve those information? i was thinking of executing this linux command in php: /usr/bin/monit status Output of this is The Monit daemon 5.4 uptime: 2h 55m System 'system_asi454' status Running monitoring status Monitored load average [0.22] [0.34] [0.42] cpu 3.3%us 0.2%sy 0.0%wa memory usage 2005212 kB [53.9%] swap usage 892928 kB [21.8%] data collected Fri, 22 Jun 2012 16:47:01 which is similar to the table content show above.

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  • Disk IO causing high load on Xen/CentOS guest

    - by Peter Lindqvist
    I'm having serious issues with a xen based server, this is on the guest partition. It's a paravirtualized CentOS 5.5. The following numbers are taken from top while copying a large file over the network. If i copy the file another time the speed decreases in relation to load average. So the second time it's half the speed of the first time. It needs some time to cool off after this. Load average slowly decreases until it's once again usable. ls / takes about 30 seconds. top - 13:26:44 up 13 days, 21:44, 2 users, load average: 7.03, 5.08, 3.15 Tasks: 134 total, 2 running, 132 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.1%sy, 0.0%ni, 25.3%id, 74.5%wa, 0.0%hi, 0.0%si, 0.1%st Mem: 1048752k total, 1041460k used, 7292k free, 3116k buffers Swap: 2129912k total, 40k used, 2129872k free, 904740k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1506 root 10 -5 0 0 0 S 0.3 0.0 0:03.94 cifsd 1 root 15 0 2172 644 556 S 0.0 0.1 0:00.08 init Meanwhile the host is ~0.5 load avg and steady over time. ~50% wait Server hardware is dual xeon, 3gb ram, 170gb scsi 320 10k rpm, and shouldn't have any problems with copying files over the network. disk = [ "tap:aio:/vm/dev01.img,xvda,w" ] I also get these in the log INFO: task syslogd:1350 blocked for more than 120 seconds. "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. syslogd D 00062E4F 2208 1350 1 1353 1312 (NOTLB) c0ef0ed0 00000286 6e71a411 00062e4f c0ef0f18 00000009 c0f20000 6e738bfd 00062e4f 0001e7ec c0f2010c c181a724 c1abd200 00000000 ffffffff c0ef0ecc c041a180 00000000 c0ef0ed8 c03d6a50 00000000 00000000 c03d6a00 00000000 Call Trace: [<c041a180>] __wake_up+0x2a/0x3d [<ee06a1ea>] log_wait_commit+0x80/0xc7 [jbd] [<c043128b>] autoremove_wake_function+0x0/0x2d [<ee065661>] journal_stop+0x195/0x1ba [jbd] [<c0490a32>] __writeback_single_inode+0x1a3/0x2af [<c04568ea>] do_writepages+0x2b/0x32 [<c045239b>] __filemap_fdatawrite_range+0x66/0x72 [<c04910ce>] sync_inode+0x19/0x24 [<ee09b007>] ext3_sync_file+0xaf/0xc4 [ext3] [<c047426f>] do_fsync+0x41/0x83 [<c04742ce>] __do_fsync+0x1d/0x2b [<c0405413>] syscall_call+0x7/0xb ======================= I have tried disabling irqbalanced as suggested here but it does not seem to make any difference.

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  • IIS/ASP.NET performance incident - Perfmon Current Annonymous Users going through roof but Requests/sec low

    - by Laurence
    Setup: ASP.NET 4.0 website on IIS 6.0 on Win 2003 64 bit, 8xCPUs, 16GB memory, separate SQL 2005 DB server. Had a serious slowdown today with any otherwise fairly well performing ASP.NET site. For a period of a couple of hours all page requests were taking a very long time to be served - e.g. 30-60s compared to usual 2s. The w3wp.exe's CPU and memory usage on the webserver was not much higher than normal. The application pool was not in the middle of recycling (and it hadn't recycled for several hours). Bottlenecks in the database were ruled out - no blocks occurring and query results were being returned quickly. I couldn't make any sense of it and set up the following Perfmon counters: Current Anonymous Users (for site in question) Get requests/sec (ditto) Requests/sec for the ASP.NET application running the site Get requests/sec was averaging 100-150. Requests/sec for ASP.NET was averaging 5-10. However Current Anonymous Users was around 200. And then as I was watching, the Current Anonymous Users began to climb steeply going up to about 500 within a few minutes. All this time Get requests/sec & Requests/sec for ASP.NET was if anything going down. I did a whole load of things (in a panic!) to try to get the site working, like shutting it down, recycling the app pool, and adding another worker process to the pool. I also extended the expiration time for content (in IIS under HTTP Headers) in an attempt to lower the number of requests for static files (there are a lot of images on the site). The site is now back to normal, and the counters are fairly steady and reading (added Current Connections counter): Current Anonymous Users : average 30 Get requests/sec : average 100 Requests/sec for ASP.NET : 5 Current Connections : average 300 I have also observed an inverse relationship between Get requests/sec & Current Anonymous Users. Usually both are fairly steady but there will be short periods when Get requests/sec will go down dramatically and Current Anonymous Users will go up in a perfect mirror image. Then they will flip back to their usual levels. So, my questions are: Thinking of the original performance issue - if w3wp.exe CPU, memory usage were normal and there was no DB bottleneck, what could explain page requests taking 20 times longer to be served than usual? What other counters should I be looking at if this happens again? What explains the inverse relationship between Get requests/sec & Current Anonymous Users? What could explain Current Anonymous Users going from 200 to 500 within a few minutes? Many thanks for any insight into this.

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  • excel rows,find if include,low and high

    - by Malin Pedersen
    Link to full-size image For what is marked in orange: As mentioned in the example in the picture it says "headphones". I would like it to search through all the lines in column A, to find something that has that name in it, then it should count the number of people, and come out with the number (in how many) the "middle price" I want it to take the price of B (depending on where it found it called headphones) and take the average price of it. In secured, as I would like it to count how many of them (from the number, or from the beginning) that have "secured" as "no" and "yes." I would like to use this on several things. For what is marked in pink: Where would I find the average price of all the goods, and what the name of the particular item is? Same with the highest and lowest price. How can I do this?

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  • AWS Elastic load balancer doesn't decrease instances from Alarm Trigger

    - by jchysk
    I have a load balancer that I created an auto-scaling-group and launch-config for. I created the auto-scaling-group with a min-size of 1 and max size of 20. I have a scaledown policy: as-put-scaling-policy SBMScaleDownPolicy --auto-scaling-group SBMAutoScaleGroup --adjustment=-1 --type ChangeInCapacity --cooldown 300 Then I set up an alarm: mon-put-metric-alarm SBMLowCPUAlarm --comparison-operator LessThanThreshold --evaluation-periods 1 --metric-name CPUUtilization --namespace "AWS/EC2" --period 600 --statistic Average --threshold 35 --alarm-actions arn:aws:autoscaling:us-east-1:policystuffhere:autoScalingGroupName/SBMAutoScaleGroup:policyName/SBMScaleDownPolicy --dimensions "AutoScalingGroupName=SBMAutoScaleGroup" When average CPU usage over 10 minutes is under 35, in CloudFront the alarm shows up as "In Alarm State" but doesn't decrease the number of instances. Also, if there's only one instance running it'll spin up another to 2 even if a scale up alarm isn't hit. It seems like the default value is just set to 2 somehow. How can I change this?

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  • SOLR high CPU usage in amazon EC2

    - by user644745
    I installed solr-3.6 in my local windows box and it worked fine. I installed solr-4.0 in amazon ec2 linux large instance and the cpu usage shot upto 100%. It maintained at 80-90% average cpu power. I thought it could be because of 4.0, So I installed 3.6 in EC2 again. But again the CPU usage was 80-90% average. With both the versions, solr works in EC2. dont know why CPU usage is so high. i started the solr server using "sudo nohup java -jar start.jar &" In my local box java 1.7 is installed and in EC2 it is 1.6.0_24. I have mapped solr dir to an EBS volume. /dev/mapper/vg1-solr 8361916 1935928 6342128 24% /home/ec2-user/SOLR/solr/example/solr Is there any known issue ?

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  • Troubleshoot odd large transaction log backups...

    - by Tim
    I have a SQL Server 2005 SP2 system with a single database that is 42gigs in size. It is a modestly active database that sees on average 25 transactions per second. The database is configured in Full recovery model and we perform transaction log backups every hour. However it seems to be pretty random at some point during the day the log backup will go from it's average size of 15megs all the way up to 40gigs. There are only 4 jobs that are scheduled to run on the SQL server and they are all typical backup jobs which occur on a daily/weekly basis. I'm not entirely sure of what client activity takes place as the application servers are maintained by a different department. Is there any good way to track down the cause of these log file growths and pinpoint them to a particular application, or client? Thanks in advance.

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  • perfmon reporting higher IOPs than possible?

    - by BlueToast
    We created a monitoring report for IOPs on performance counters using Disk reads/sec and Disk writes/sec on four servers (physical boxes, no virtualization) that have 4x 15k 146GB SAS drives in RAID10 per server, set to check and record data every 1 second, and logged for 24 hours before stopping reports. These are the results we got: Server1 Maximum disk reads/sec: 4249.437 Maximum disk writes/sec: 4178.946 Server2 Maximum disk reads/sec: 2550.140 Maximum disk writes/sec: 5177.821 Server3 Maximum disk reads/sec: 1903.300 Maximum disk writes/sec: 5299.036 Server4 Maximum disk reads/sec: 8453.572 Maximum disk writes/sec: 11584.653 The average disk reads and writes per second were generally low. I.e. for one particular server it was like average 33 writes/sec, but when monitoring in real-time it would often spike up to several hundreds and also sometimes into the thousands. Could someone explain to me why these numbers are significantly higher than theoretical calculations assuming each drive can do 180 IOPs? Additional details (RAID card): HP Smart Array P410i, Total cache size of 1GB, Write cache is disabled, Array accelerator cache ratio is 25% read and 75% write

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  • Calculating IOPS for a single HDD - what am I doing wrong?

    - by red888
    So I know there is no standardized way of calculating IOPS for a HDD, but from everything I have read it appears one of the most accurate formulas is the following: IOP/ms = + {rotational latency} + ({block size} / {data transfer rate}) Which is IOs per millisecond or what the book I've been reading calls "Disk Service Time". Also rotational latency is calculated as half of one rotation in milliseconds. This was taken from the EMC book "Information Storage and Management" -arguably a pretty reliable source right\wrong? Putting this formula into practice consider this Seagate data sheet. I am going to calculate IOPS for the ST3000DM001 model for a block size of 4kb: Seek Average (Write) = 9.5 -I'll measuring IOPS for writes Spindle speed = 7200rpm Average Data Rate = 156MB/s So my variables are: Seek Time = 9.5ms Rotational latency = (.5 / (7200rpm / 60)) = 0.004s = 4ms Data Rate = 156MB/s = (0.156MB/ms / 0.004MB) = 39 9.5ms + 4ms + 39 = IO/ms 52.5 1 / (52.5 * 0.001) = 19 IOPS 19 IOPS for this drive clearly is not right so what am I doing wrong?

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