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  • Database design for very large amount of data

    - by Hossein
    Hi, I am working on a project, involving large amount of data from the delicious website.The data available is at files are "Date,UserId,Url,Tags" (for each bookmark). I normalized my database to a 3NF, and because of the nature of the queries that we wanted to use In combination I came down to 6 tables....The design looks fine, however, now a large amount of data is in the database, most of the queries needs to "join" at least 2 tables together to get the answer, sometimes 3 or 4. At first, we didn't have any performance issues, because for testing matters we haven't had added too much data in the database. No that we have a lot of data, simply joining extremely large tables does take a lot of time and for our project which has to be real-time is a disaster.I was wondering how big companies solve these issues.Looks like normalizing tables just adds complexity, but how does the big company handle large amounts of data in their databases, don't they do the normalization? thanks

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  • Ubuntu Deluge shows errors when downloading large bit torrent files and keeps erroring out after try

    - by MikeN
    Ubuntu Deluge shows errors when downloading large bit torrent files and keeps erroring out after trying to resume. The error on details shows: "Invalid argument". This happens for many large torrents that are running for several days (trying to download.) I try to "resume" and "force rechceck" but it never works. Smaller torrents seem to work ok. What is causing these torrents to never complete? Is there a way to force Deluge to keep auto-resuming every few minutes after a failure instead of just giving up?

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  • Ubuntu 12.04 Samba File Server timeout on large file

    - by phileaton
    I am a beginner with servers. I checked the error logs for Samba and it appears that Samba is timing out when I transfer large files. I can successfully add pdfs for instance to my file server. However, I tried to add a large 1.2gb video file and it did not succeed. This is the error in the log: smbd/process.c:244(read_packet_remainder) read_fd_with_timeout failed for client 0.0.0.0 read error = NT_STATUS_CONNECT$ Is there a way I can stop it from timing out? Any pointers would be great! Thanks!

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  • How can I copy files with names containing spaces and UNICODE, when using a shell script?

    - by LOlliffe
    I have a list of files that I'm trying to copy and move (using cp and mv) in a bash shell script. The problem that I'm running into, is that I can't get either command to recognize a huge number of files, seemingly because the filenames contain spaces and/or unicode characters. I couldn't find any switches to decode/re-encode these characters. Instead, for example, if I copy "file name.xml", I get "*.xml" and a script error that the file wasn't found for my result. Does anyone know settings or commands that will deal with these files?

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  • Setup.exe files downloading without cab files over poor connections

    - by Colin
    We have customers who are trying to download a setup.exe file over mobile connections that appear to be very slow. They have reported that when they click on the downloaded setup.exe, the install wizard starts up, but part way through the wizard they get an error message indicating that a cab file is corrupt or missing. They couriered a problem tablet to us, and we downloaded the file without a problem but I could replicate the problem by using https to download the file (https is normally used to access the rest of the site, although it is not necessary for the download). When I did this the downloaded file was 2.8MB. It should be 8MB. I don't think that https is the root cause of the problem because I can see the download link in the browser history using http, so I know the customer tried to download using http. I think that the issue is that the poor connection is preventing a complete download, but the browser is acting as if it is complete. Is there a way to ensure the file is downloaded fully, or not at all? Why does the browser not indicate that the download is incomplete?

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  • Large public datasets?

    - by Jason
    I am looking for some large public datasets, in particular: Large sample web server logs that have been anonymized. Datasets used for database performance benchmarking. Any other links to large public datasets would be appreciated. I already know about Amazon's public datasets at: http://aws.amazon.com/publicdatasets/

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  • remuxing mpv files from h264 AVI files

    - by crankharder
    I have a bunch of, I think, x264 encoded AVIs that I'd like to convert to m4v so that I can play with Quicktime. Here's how I created them First I dump the vob from DVD with this: $ mplayer -dumpstream -dumpfile new.vob dvd://1 Then I compress it: $ mencoder -oac copy -o new.avi -ovc x264 -x264encopts crf=18 new.vob I tried doing this to convertthem to m4v, but it's blowing up... I tried dumping the h264/acc streams: $ mplayer new.avi -dumpvideo -dumpfile new.h264 $ mplayer new.avi -dumpaudio -dumpfile new.acc And remuxing(?) with MP4Box but I'm getting an error: $ MP4Box -add new.h264#video -add new.aac#audio new.m4v Cannot find H264 start code Error importing new.h264#video: BitStream Not Compliant So not sure what to do now...

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  • Quickly create large file on a windows system?

    - by Leigh Riffel
    In the same vein as http://stackoverflow.com/questions/257844/quickly-create-a-large-file-on-a-linux-system I'd like to quickly create a large file on a windows system. By large I'm thinking 5GB. The content doesn't matter. A built in command or short batch file would be preferable, but I'll accept an application if there are no other easy ways.

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  • Vbscript - Compare and copy files from folder if newer than destination files

    - by Kenny Bones
    Hi, I'm trying to design this script that's supposed to be used as a part of a logon script for alot of users. And this script is basically supposed to take a source folder and destination folder as basically just make sure that the destination folder has the exact same content as the source folder. But only copy if the datemodified stamp of the source file is newer than the destination file. I have been thinking out this basic pseudo code, just trying to make sure this is valid and solid basically. Dim strSourceFolder, strDestFolder strSourceFolder = "C:\Users\User\SourceFolder\" strDestFolder = "C:\Users\User\DestFolder\" For each file in StrSourceFolder ReplaceIfNewer (file, strDestFolder) Next Sub ReplaceIfNewer (SourceFile, DestFolder) Dim DateModifiedSourceFile, DateModifiedDestFile DateModifiedSourceFile = SourceFile.DateModified() DateModifiedDestFile = DestFolder & "\" & SourceFile.DateModified() If DateModifiedSourceFile < DateModifiedDestFile Copy SourceFile to SourceFolder End if End Sub Would this work? I'm not quite sure how it can be done, but I could probably spend all day figuring it out. But the people here are generally so amazingly smart that with your help it would take alot less time :)

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  • How to I serialize a large graph of .NET object into a SQL Server BLOB without creating a large bu

    - by Ian Ringrose
    We have code like: ms = New IO.MemoryStream bin = New System.Runtime.Serialization.Formatters.Binary.BinaryFormatter bin.Serialize(ms, largeGraphOfObjects) dataToSaveToDatabase = ms.ToArray() // put dataToSaveToDatabase in a Sql server BLOB But the memory steam allocates a large buffer from the large memory heap that is giving us problems. So how can we stream the data without needing enough free memory to hold the serialized objects. I am looking for a way to get a Stream from SQL server that can then be passed to bin.Serialize() so avoiding keeping all the data in my processes memory. Likewise for reading the data back... Some more background. This is part of a complex numerical processing system that processes data in near real time looking for equipment problems etc, the serialization is done to allow a restart when there is a problem with data quality from a data feed etc. (We store the data feeds and can rerun them after the operator has edited out bad values.) Therefore we serialize the object a lot more often then we de-serialize them. The objects we are serializing include very large arrays mostly of doubles as well as a lot of small “more normal” objects. We are pushing the memory limit on a 32 bit system and make the garage collector work very hard. (Effects are being made elsewhere in the system to improve this, e.g. reusing large arrays rather then create new arrays.) Often the serialization of the state is the last straw that courses an out of memory exception; our peak memory usage is while this serialization is being done. I think we get large memory pool fragmentation when we de-serialize the object, I expect there are also other problem with large memory pool fragmentation given the size of the arrays. (This has not yet been investigated, as the person that first looked at this is a numerical processing expert, not a memory management expert.) Are customers use a mix of Sql Server 2000, 2005 and 2008 and we would rather not have different code paths for each version of Sql Server if possible. We can have many active models at a time (in different process, across many machines), each model can have many saved states. Hence the saved state is stored in a database blob rather then a file. As the spread of saving the state is important, I would rather not serialize the object to a file, and then put the file in a BLOB one block at a time. Other related questions I have asked How to Stream data from/to SQL Server BLOB fields? Is there a SqlFileStream like class that works with Sql Server 2005?

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  • How can I read pcap files in a friendly format?

    - by Tony
    a simple cat on the pcap file looks terrible: $cat tcp_dump.pcap ?ò????YVJ? JJ ?@@.?E<??@@ ?CA??qe?U?????h? .Ceh?YVJ?? JJ ?@@.?E<??@@ CA??qe?U?????z? .ChV?YVJ$?JJ ?@@.?E<-/@@A?CA??9????F???A&? .Ck??YVJgeJJ@@.??#3E<@3{n??9CA??P???F???<K? ??`.Ck??YVJgeBB ?@@.?E4-0@@AFCA??9????F?P????? .Ck???`?YVJ?""@@.??#3E?L@3?I??9CA??P???F????? ???.Ck?220-rly-da03.mx etc. I tried to make it prettier with: sudo tcpdump -ttttnnr tcp_dump.pcap reading from file tcp_dump.pcap, link-type EN10MB (Ethernet) 2009-07-09 20:57:40.819734 IP 67.23.28.65.49237 > 216.239.113.101.25: S 2535121895:2535121895(0) win 5840 <mss 1460,sackOK,timestamp 776168808 0,nop,wscale 5> 2009-07-09 20:57:43.819905 IP 67.23.28.65.49237 > 216.239.113.101.25: S 2535121895:2535121895(0) win 5840 <mss 1460,sackOK,timestamp 776169558 0,nop,wscale 5> 2009-07-09 20:57:47.248100 IP 67.23.28.65.42385 > 205.188.159.57.25: S 2644526720:2644526720(0) win 5840 <mss 1460,sackOK,timestamp 776170415 0,nop,wscale 5> 2009-07-09 20:57:47.288103 IP 205.188.159.57.25 > 67.23.28.65.42385: S 1358829769:1358829769(0) ack 2644526721 win 5792 <mss 1460,sackOK,timestamp 4292123488 776170415,nop,wscale 2> 2009-07-09 20:57:47.288103 IP 67.23.28.65.42385 > 205.188.159.57.25: . ack 1 win 183 <nop,nop,timestamp 776170425 4292123488> 2009-07-09 20:57:47.368107 IP 205.188.159.57.25 > 67.23.28.65.42385: P 1:481(480) ack 1 win 1448 <nop,nop,timestamp 4292123568 776170425> 2009-07-09 20:57:47.368107 IP 67.23.28.65.42385 > 205.188.159.57.25: . ack 481 win 216 <nop,nop,timestamp 776170445 4292123568> 2009-07-09 20:57:47.368107 IP 67.23.28.65.42385 > 205.188.159.57.25: P 1:18(17) ack 481 win 216 <nop,nop,timestamp 776170445 4292123568> 2009-07-09 20:57:47.404109 IP 205.188.159.57.25 > 67.23.28.65.42385: . ack 18 win 1448 <nop,nop,timestamp 4292123606 776170445> 2009-07-09 20:57:47.404109 IP 205.188.159.57.25 > 67.23.28.65.42385: P 481:536(55) ack 18 win 1448 <nop,nop,timestamp 4292123606 776170445> 2009-07-09 20:57:47.404109 IP 67.23.28.65.42385 > 205.188.159.57.25: P 18:44(26) ack 536 win 216 <nop,nop,timestamp 776170454 4292123606> 2009-07-09 20:57:47.444112 IP 205.188.159.57.25 > 67.23.28.65.42385: P 536:581(45) ack 44 win 1448 <nop,nop,timestamp 4292123644 776170454> 2009-07-09 20:57:47.484114 IP 67.23.28.65.42385 > 205.188.159.57.25: . ack 581 win 216 <nop,nop,timestamp 776170474 4292123644> 2009-07-09 20:57:47.616121 IP 67.23.28.65.42385 > 205.188.159.57.25: P 44:50(6) ack 581 win 216 <nop,nop,timestamp 776170507 4292123644> 2009-07-09 20:57:47.652123 IP 205.188.159.57.25 > 67.23.28.65.42385: P 581:589(8) ack 50 win 1448 <nop,nop,timestamp 4292123855 776170507> 2009-07-09 20:57:47.652123 IP 67.23.28.65.42385 > 205.188.159.57.25: . ack 589 win 216 <nop,nop,timestamp 776170516 4292123855> 2009-07-09 20:57:47.652123 IP 67.23.28.65.42385 > 205.188.159.57.25: P 50:56(6) ack 589 win 216 <nop,nop,timestamp 776170516 4292123855> 2009-07-09 20:57:47.652123 IP 67.23.28.65.42385 > 205.188.159.57.25: F 56:56(0) ack 589 win 216 <nop,nop,timestamp 776170516 4292123855> 2009-07-09 20:57:47.668124 IP 67.23.28.65.49239 > 216.239.113.101.25: S 2642380481:2642380481(0) win 5840 <mss 1460,sackOK,timestamp 776170520 0,nop,wscale 5> 2009-07-09 20:57:47.692126 IP 205.188.159.57.25 > 67.23.28.65.42385: P 589:618(29) ack 57 win 1448 <nop,nop,timestamp 4292123893 776170516> 2009-07-09 20:57:47.692126 IP 67.23.28.65.42385 > 205.188.159.57.25: R 2644526777:2644526777(0) win 0 2009-07-09 20:57:47.692126 IP 205.188.159.57.25 > 67.23.28.65.42385: F 618:618(0) ack 57 win 1448 <nop,nop,timestamp 4292123893 776170516> 2009-07-09 20:57:47.692126 IP 67.23.28.65.42385 > 205.188.159.57.25: R 2644526777:2644526777(0) win 0 Well...that is much prettier but it doesn't show the actual messages. I can actually extract more information just viewing the RAW file. What is the best ( and preferably easiest) way to just view all the contents of the pcap file? UPDATE Thanks to the responses below, I made some progress. Here is what it looks like now: tcpdump -qns 0 -A -r blah.pcap 20:57:47.368107 IP 205.188.159.57.25 > 67.23.28.65.42385: tcp 480 0x0000: 4500 0214 834c 4000 3306 f649 cdbc 9f39 [email protected] 0x0010: 4317 1c41 0019 a591 50fe 18ca 9da0 4681 C..A....P.....F. 0x0020: 8018 05a8 848f 0000 0101 080a ffd4 9bb0 ................ 0x0030: 2e43 6bb9 3232 302d 726c 792d 6461 3033 .Ck.220-rly-da03 0x0040: 2e6d 782e 616f 6c2e 636f 6d20 4553 4d54 .mx.aol.com.ESMT 0x0050: 5020 6d61 696c 5f72 656c 6179 5f69 6e2d P.mail_relay_in- 0x0060: 6461 3033 2e34 3b20 5468 752c 2030 3920 da03.4;.Thu,.09. 0x0070: 4a75 6c20 3230 3039 2031 363a 3537 3a34 Jul.2009.16:57:4 0x0080: 3720 2d30 3430 300d 0a32 3230 2d41 6d65 7.-0400..220-Ame 0x0090: 7269 6361 204f 6e6c 696e 6520 2841 4f4c rica.Online.(AOL 0x00a0: 2920 616e 6420 6974 7320 6166 6669 6c69 ).and.its.affili 0x00b0: 6174 6564 2063 6f6d 7061 6e69 6573 2064 ated.companies.d etc. This looks good, but it still makes the actual message on the right difficult to read. Is there a way to view those messages in a more friendly way? UPDATE This made it pretty: tcpick -C -yP -r tcp_dump.pcap Thanks!

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  • Wireless traffic stops when downloading large files at high speed: packets lost (Linksys WRT120N router)

    - by Torious
    The problem Note: First I'd like to understand WHY this is happening. Ofcourse, a solution would be nice too. :) When downloading a large file over HTTP at high-speeds, my wireless traffic basically stops: I can't open webpages and the download itself pauses. It pauses pretty much immediately after starting it; sometimes at 800 KB, sometimes at a few MB. After some time, the download (and other traffic) resumes, but the problem keeps reoccurring during the same download. The problem does not occur when using a wired connection through the same router (Linskys WRT120N). Also note that the connection is not dropped when this happens. It's just that the traffic stops and I can't browse to web pages, etc. (SYN packets are sent but nothing is received, etc.) Inspection with Wireshark shows that the following happens: Server sends data packets which are acknowledged by client Server sends a packet, but SEQ indicates some packets were lost (6 packets in one occurrence). Server sends a few more packets and client acknowledges these using "selective acknowledgement" Server stops sending data for a while (since the lost packets were not acknowledged or the router stops forwarding them?) Eventually, server does a "retransmission" and traffic resumes as normal. This all seems normal behavior to me when packet loss occurs. It's the consistent packet loss throughout a large, high-speed download that puzzles me. What might cause this? My own idea is the following: My internet is pretty fast (100 mbps), so when starting a large-file download, the router buffers the incoming data (since wireless introduces some slight delay / lower speed, in part due to other networks), but the buffer overflows and the router drops packets to regulate traffic (and because it has no choice). But how could that happen? Doesn't the TCP window size limit the amount of data that can go unacknowledged? So how can the router's buffer overflow if there can only be like 64 KB waiting to be acknowledged? Note: I've disabled TCP window scaling and dynamic window size through netsh options, in an attempt to fix this, but it doesn't seem to matter. Also, Wireshark shows a pattern of the server sending 2 packets (of 1514 bytes) and the client sending an ACK, so does that rule out a possible buffer overflow? And a few more subsequent packets are received... I'm at a loss here. Thanks for any insights. Things that are (probably) NOT the cause / I have experimented with The browser Various TCP options in Windows 7 (netsh etc.) Router settings such as MTU, beacon interval, UPnP, ...

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  • Optimizing processing and management of large Java data arrays

    - by mikera
    I'm writing some pretty CPU-intensive, concurrent numerical code that will process large amounts of data stored in Java arrays (e.g. lots of double[100000]s). Some of the algorithms might run millions of times over several days so getting maximum steady-state performance is a high priority. In essence, each algorithm is a Java object that has an method API something like: public double[] runMyAlgorithm(double[] inputData); or alternatively a reference could be passed to the array to store the output data: public runMyAlgorithm(double[] inputData, double[] outputData); Given this requirement, I'm trying to determine the optimal strategy for allocating / managing array space. Frequently the algorithms will need large amounts of temporary storage space. They will also take large arrays as input and create large arrays as output. Among the options I am considering are: Always allocate new arrays as local variables whenever they are needed (e.g. new double[100000]). Probably the simplest approach, but will produce a lot of garbage. Pre-allocate temporary arrays and store them as final fields in the algorithm object - big downside would be that this would mean that only one thread could run the algorithm at any one time. Keep pre-allocated temporary arrays in ThreadLocal storage, so that a thread can use a fixed amount of temporary array space whenever it needs it. ThreadLocal would be required since multiple threads will be running the same algorithm simultaneously. Pass around lots of arrays as parameters (including the temporary arrays for the algorithm to use). Not good since it will make the algorithm API extremely ugly if the caller has to be responsible for providing temporary array space.... Allocate extremely large arrays (e.g. double[10000000]) but also provide the algorithm with offsets into the array so that different threads will use a different area of the array independently. Will obviously require some code to manage the offsets and allocation of the array ranges. Any thoughts on which approach would be best (and why)?

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  • Divide and conquer of large objects for GC performance

    - by Aperion
    At my work we're discussing different approaches to cleaning up a large amount of managed ~50-100MB memory.There are two approaches on the table (read: two senior devs can't agree) and not having the experience the rest of the team is unsure of what approach is more desirable, performance or maintainability. The data being collected is many small items, ~30000 which in turn contains other items, all objects are managed. There is a lot of references between these objects including event handlers but not to outside objects. We'll call this large group of objects and references as a single entity called a blob. Approach #1: Make sure all references to objects in the blob are severed and let the GC handle the blob and all the connections. Approach #2: Implement IDisposable on these objects then call dispose on these objects and set references to Nothing and remove handlers. The theory behind the second approach is since the large longer lived objects take longer to cleanup in the GC. So, by cutting the large objects into smaller bite size morsels the garbage collector will processes them faster, thus a performance gain. So I think the basic question is this: Does breaking apart large groups of interconnected objects optimize data for garbage collection or is better to keep them together and rely on the garbage collection algorithms to processes the data for you? I feel this is a case of pre-optimization, but I do not know enough of the GC to know what does help or hinder it.

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  • Dealing with development and large javascript files?

    - by maxp
    When dealing with websites with large amount of javascript, i see that these are still usually served to the client as one large javascript file. In the development phase, are the javascript files usually split up (say there are 300 lines of js) to make things abit more manageable, and then merged when the website is 'put live'? Or do the developers just put up with working in one long large file?

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  • Do large folder sizes slow down IO performance?

    - by Aaron
    We have a Linux server process that writes a few thousand files to a directory, deletes the files, and then writes a few thousand more files to the same directory without deleting the directory. What I'm starting to see is that the process doing the writing is getting slower and slower. My question is this: The directory size of the folder has grown from 4096 to over 200000 as see by this output of ls -l. root@ad57rs0b# ls -l 15000PN5AIA3I6_B total 232 drwxr-xr-x 2 chef chef 233472 May 30 21:35 barcodes On ext3, can these large directory sizes slow down performance? Thanks. Aaron

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  • Dreamweaver creating temp php files instead of working direct from the local test server files

    - by Dan382
    Trying to get MAMP running with Dreamweaver. When I preview a php file inside Dreamweavers 'Live View' mode instead of working direct from my file: http://localhost/php_test/timetest.php it creates its own temp file which looks like: http:// 127.0.0.1/php_test/ TMPWY5ZEM.php (I've added the additional spaces as stockoverflow assumed I was spamming) I know the localhost runs correctly as if I type the URL directly into a browser it runs fine. I've set up the Dreamweaver site correctly to the best of my knowledge, the details are below: Local site folder: /Applications/MAMP/htdocs/php_test Server Folder: /Applications/MAMP/htdocs/php_test Web URL: http://localhost/php_test/ Testing Server: PHP MySQL Any help?

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  • Installing software at large organisation

    - by CJ7
    I have to give an MSI to a large organisation for it to install (presumably via GPO) on to some of their workstations that are running XP. I already know that my application is not allowed to write to the application folder. I realise it should be writing to the AppData folder. The organisation has allocated a folder on a server for the database files and other configuration files. This folder is referenced by UNC naming and not by mapped drives. My question is: based on normal practices, is my app likely to have the rights to create a sub-folder on this server? Is my app likely to have the rights to create files on this server?

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  • Optimal way to make MySQL backups for fairly large databases (MyISAM / InnoDB)

    - by WinkyWolly
    Currently we have one beefy MySQL database that runs a couple of high traffic Django based websites as well as some e-commerce websites of decent size. As a result we have a fair amount of large databases using both InnoDB and MyISAM tables. Unfortunately we've recently hit a wall due to the amount of traffic so I've setup another master server to help alleviate reads / backups. Now at the moment I simply use mysqldump with a few arguments and it's proven to be fine.. until now. Obviously mysqldump is a slow quick method however I believe we've outgrown its use. I now need a good alternative and have been looking into utilizing Maatkits mk-parallel-dump utility or an LVM snapshot solution. Succinct short version: I have a fairly large MySQL databases I need to backup Current method using mysqldump is inefficient and slow (causing issues) Looking into something such as mk-parallel-dump or LVM snapshots Any recommendations or ideas would be appreciated - since I have to re-do how we're doing things I rather have it done properly / most efficient :).

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  • how to get files from one PC to another using c#.net?

    - by shruti
    im using c#.net..i want to get the files that are on the server PC to my PC..both the PCs are connected through network.. i have given IP address of that PC in the path...but its not copying the files to my folder. im using the following code ...but its not working..kindly help me out.. File.Copy(Path.GetFileName(sourceFile), Path.GetDirectoryName(targetpath)); in sourceFile i have given IP address + folder path of the server PC and in the targetpath i have given the path of the folder of my PC to which i want to copy the files..

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  • Copy large files to multiple machines on a LAN

    - by Jonathan Callen
    I have a few large files that I need to copy from one Linux machine to about 20 other Linux machines, all on the same LAN as quickly as is feasible. What tools/methods would be best for copying these files, noting that this is not going to be a one-time copy. These machines will never be connected to the Internet, and security is not an issue. Update: The reason for my asking this is because (as I understand it) we are currently using scp in serial to copy the files to each of the machines and I have been informed that this is "too slow" and a faster alternative is being sought. According to what I have been told, attempting to parallelize the scp calls simply slows it down further due to hard drive seeks.

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  • Where do I put the links to my Javascript/jQuery files in my html file?

    - by Qlidnaque
    I recently noticed that some (not all) of my javascript and jQuery scripts wouldn't work unless I put the link for the .js files nearer towards the bottom of the page instead of the head area where I put my links for my .css files. From what I understand, javascript can go in either places and it is recommended to not be put in the header as it slows down the page loading process as well. At the same time, if I put it in the body tag of the html file, it looks somewhat messy and was wondering what the best practice is for putting .js files in a cleanly place. Should I always put it at the very bottom right before the ending body tag? How do professional web developers handle this?

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