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  • Copy to USB memory stick really slow?

    - by Eloff
    When I copy files to the USB device, it takes much longer than in windows (same usb device, same port) it's faster than USB 1.0 speeds (1MB/s) but much slower than USB 2.0 speeds (12MB/s). To copy 1.8GB takes me over 10 minutes (it should be < 3 min.) I have two identical SanDisk Cruzer 8GB sticks, and I have the same problem with both. I have a super talent 32GB USB SSD in the neighboring port and it works at expected speeds. The problem I seem to see in the GUI is that the progress bar goes to 90% almost instantly, completes to 100% a little slower and then hangs there for 10 minutes. Interrupting the copy at this point seems to result in corruption at the tail end of the file. If I wait for it to complete the copy is successful. Any ideas? dmesg output below: [64059.432309] usb 2-1.2: new high-speed USB device number 5 using ehci_hcd [64059.526419] scsi8 : usb-storage 2-1.2:1.0 [64060.529071] scsi 8:0:0:0: Direct-Access SanDisk Cruzer 1.14 PQ: 0 ANSI: 2 [64060.530834] sd 8:0:0:0: Attached scsi generic sg4 type 0 [64060.531925] sd 8:0:0:0: [sdd] 15633408 512-byte logical blocks: (8.00 GB/7.45 GiB) [64060.533419] sd 8:0:0:0: [sdd] Write Protect is off [64060.533428] sd 8:0:0:0: [sdd] Mode Sense: 03 00 00 00 [64060.534319] sd 8:0:0:0: [sdd] No Caching mode page present [64060.534327] sd 8:0:0:0: [sdd] Assuming drive cache: write through [64060.537988] sd 8:0:0:0: [sdd] No Caching mode page present [64060.537995] sd 8:0:0:0: [sdd] Assuming drive cache: write through [64060.541290] sdd: sdd1 [64060.544617] sd 8:0:0:0: [sdd] No Caching mode page present [64060.544619] sd 8:0:0:0: [sdd] Assuming drive cache: write through [64060.544621] sd 8:0:0:0: [sdd] Attached SCSI removable disk

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  • recommendations for efficient offsite remote backup solution of vm's

    - by senorsmile
    I am looking for recommendations for backing up my current 6 vm's(and soon to grow to up to 20). Currently I am running a two node proxmox cluster(which is a debian base using kvm for virtualization with a custom web front end to administer). I have two nearly identical boxes with amd phenom II x4's and asus motherboards. Each has 4 500 GB sata2 hdd's, 1 for the os and other data for the proxmox install, and 3 using mdadm+drbd+lvm to share the 1.5 TB's of storage between the two machines. I mount lvm images to kvm for all of the virtual machines. I currently have the ability to do live transfer from one machine to the other, typically within seconds(it takes about 2 minutes on the largest vm running win2008 with m$ sql server). I am using proxmox's built-in vzdump utility to take snapshots of the vm's and store those on an external harddrive on the network. I then have jungledisk service (using rackspace) to sync the vzdump folder for remote offsite backup. This is all fine and dandy, but it's not very scalable. For one, the backups themselves can take up to a few hours every night. With jungledisk's block level incremental transfers, the sync only transfers a small portion of the data offsite, but that still takes at least a half an hour. The much better solution would of course be something that allows me to instantly take the difference of two time points (say what was written from 6am to 7am), zip it, then send that difference file to the backup server which would instantly transfer to the remote storage on rackspace. I have looked a little into zfs and it's ability to do send/receive. That coupled with a pipe of the data in bzip or something would seem perfect. However, it seems that implementing a nexenta server with zfs would essentially require at least one or two more dedicated storage servers to serve iSCSI block volumes (via zvol's???) to the proxmox servers. I would prefer to keep the setup as minimal as possible (i.e. NOT having separate storage servers) if at all possible. I have also briefly read about zumastor. It looks like it could also do what I want, but it appears to have halted development in 2008. So, zfs, zumastor or other?

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  • Memory allocation strategy for the vertex buffers (DirectX 10/11)

    - by Alex
    I have the following question. I write CAD system. So I have a 3D scene and there are many different objects (walls, doors, windows and so on). User can add or delete some objects. The question is: how can I organise the keeping of vertices for all my objects. I can create vertex buffer for every object. But I think drawing/switching from one buffer to another would have performance penalty. Another way - I can create several big buffers for every object type. But I don't understand how to update such buffers. It is too big to update whole buffer (for example buffer for all walls). What I need to do if I want to delete the object from the middle of the buffer? Actually I have the similar question: http://stackoverflow.com/questions/5515700/how-to-properly-update-vertex-buffers-in-directx-10 Most examples I've found work with very static models. Therefore, they tend to create a single vertex buffer with their list of points, and then are just manipulated by matrix transformations. I, on the other hand, will be updating the scene very often.

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  • Efficient way to secure tomcat database connections

    - by Greymeister
    Our customer has a problem with database information in plaintext within a server.xml or context.xml file on the Tomcat server. I've looked at several sites like OWASP and it seems like there's no obvious solution. I've also seen things like this wordpress blog which describe implementing a custom Tomcat extension to do this. There must exist some standard implementation(s) already without having to roll your own. Does anyone have experience with such a solution?

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  • How to tune system settings for mongoDB on Linux?

    - by jsh
    Trying to squeeze a lot out of one question here -- please bear with me. Although the MongoDB man pages make several useful recommendations about system settings like ulimit (http://docs.mongodb.org/manual/reference/ulimit/), and other production factors (http://docs.mongodb.org/manual/administration/production-notes/) they seem mysteriously silent on things like virtual memory and swap settings. The closest we get to a hint is that "...the operating system’s virtual memory subsystem manages MongoDB’s memory..." (http://docs.mongodb.org/manual/faq/fundamentals/#does-mongodb-require-a-lot-of-ram). Running the same job - high writes and high reads on about 10,000,000 records in a single collection -- on my 4-processor, 4GB RAM macbook and an 8-core ubuntu box with 64GB RAM I saw dramatically WORSE read performance on the linux box with factory settings, and could hear the disk constantly spinning, indicating high I/O and presumably swapping. Yes, other things were happening on the box, but there was plenty of free RAM, disk space, etc.; furthermore, I did not see evidence that Mongo was expanding to take advantage of all that free RAM as it is touted to do. Linux box default settings were as follows: vm.swappiness =60 vm.dirty_background_ratio = 10 vm.dirty_ratio = 20 vm.dirty_expire_centisecs =3000 vm.dirty_writeback_centisecs=500 I hazarded some guesses looking at docs and blogs for other types of databases (Oracle, MYSQL, etc.), experimented, and adjusted as below. vm.swappiness=10 vm.dirty_background_ratio=5 vm.dirty_ratio=5 vm.dirty_writeback_centisecs=250 vm.dirty_expire_centisecs=500 I saw some immediate apparent improvements in read time. However, when I ran my test jobs again, read performance continued to be painfully sluggish during heavy writes. Then, I REBUILT the collection from an available data source - and suddenly I can read at 1ms or less per record WHILE doing the write job! So the question is really two-fold: 1) What are appropriate VM settings for MongoDB on Linux? 2) (bonus) Does Mongo do some checking or optimization with the OS while data is being built? In other words, if I have built a large data set with suboptimal VM or I/O settings, does Mongo make assumptions during the memory-mapping process that will fail to take advantage of optimizations down the road? Obviously I don't fully grok memory mapping under the hood (I was hoping I wouldn't have to). Any help appreciated...thanks! -j

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  • NK2 files doesn't keep the email addresses in memory

    - by r0ca
    When I send an email to someone outside the firm, when I only type the first letters of its name (Contact), I get the auto-suggest of the "Already-sent" users. So now, since a few days, the emails are not kept in memory by Outlook (NK2 file). I see that that file is only 2kb and on my old machine, it's almost 200kb (So a lot more email addresses kept in memory) Should I just rebuilt the Outlook profile or the whole Windows Profile? A simple Outlook reinstall or to build a new PC?

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  • Fail2ban memory usage

    - by ltsstar
    Since my server is under a sustain DNS amplification attack (DDOS), I configured fail2ban and initially my outgoing traffic dropped markedly. Anyway, after a few hours (mostly +10), fail2ban uses about 75% ram and seems to be crashed in some way, because the outgoing traffic raises imediatly after. When I searched the web for the memory problem, I found some people complaining about high fail2ban memory usages as well. But the recommended solution, to insert an ulimit command into a fail2ban config file, did not change that much for me.

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  • How can virtualization be efficient?

    - by pestaa
    As I understand, the virtual machine and the guest OS doubles the amount of abstraction layers (that are computationally relevant) between the user interface and the pure power of the hardware. Some of the said abstraction layers are (emulated) hardware, drivers, IO interfaces, etc. Top-notch virtualization solutions like Xen probably eliminate a few of these complexities, but I still wonder how efficiency is achieved in these environments; and whether manageable cloud servers are really worth the performance price.

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  • Memory upgrade for Toshiba P20 S203?

    - by pjc50
    I've had an offer of a 256MB PC2700 SODIMM, apparently from an iBook, to upgrade a Toshiba laptop. Is that suitable? I've seen "DDR 266 SODIMM" on sale as the official upgrade memory. How in general should I work this out? I've long since lost track of what memory goes with what system.

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  • Enabling Squid delay pool eats up the entire memory

    - by Supratik
    I am using "squid-3.1.8-1.el5" in my CentOS 5 32 bit system. In normal condition Squid uses 85m - 90m, but when I enable the delay pool parameters the memory usage suddenly rise up 2GB. The memory keeps on increasing until the system is out of resource. The following are my delay pool settings: delay_pools 1 delay_class 1 1 delay_access 1 allow all delay_parameters 1 192000/192000 Is there anything I am missing here or is it a bug with Squid ?

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  • Efficient mirroring of directories using hardlinks

    - by zoqaeski
    I'm backing up my music collection on to a number of NTFS-formatted external hard-drives; however, as I store my main collection in FLAC and have my library on my laptop as MP3s to save space, I want to be able to back up both sets, because mass conversion between formats is time-consuming. The "music" directory can contain any format; the "mp3s" directory contains only MP3s converted from files in the "music" directory. The music collection on the laptop contains only MP3s, but they come from both sources. When I backup my laptop's library to the "mp3s" directory, I want to only copy across MP3 files that don't exist in the "music" directory; those that do should be hard-linked to the "music" directory. All directories have an identical hierarchy, sorted by artist, album, date, discnumber if applicable, etc, and I use a tagging editor to ensure consistency across all these locations. I'm also using a Linux computer, but keeping the music collections on NTFS-formatted partitions so that they are readable by both Linux and Windows. At the moment, I use the following command to perform the backups, but this is time-consuming due to the expensive nature of finding hard links. rsync -avu --progress --relative --ignore-existing --link-dest=../music/ **/*.mp3 /media/ntfspocket/mp3s Is there a way to perform this backup more efficiently, taking advantage of the directory hierarchy?

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  • Shared memory multiprocesses

    - by poly
    I'm building an multi processes application and I need to save session ID, the sessions ID is 32 bit, and of course it can't be used twice in its lifetime, I'm currently using DB that saves all the ID in a table, and I do the following, ID table is (int key, char used(1)) //1 is used, 0 is not 1. lock table 2. get one key for one sessions 3. update used field in it to used 4. unlock After the session is finished the process use below to free key, 1. lock table 2. update used field in it to not used 4. unlock I'm really wondering whether this is a good/fast implementation. and please note it's multi processes application.

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  • Most efficient hard drive configuration for multitasking system

    - by user99391
    I hope I didn’t screw up the tile. Currently I’m using for my system 2x500g Raid0 system. I’m thinking about an upgrade but I got hold up by few questions. I need at least 100-120 gb for my system and apps and looking for a technological upgrade also. I've end up with 3 choices. Single 120 ssd (sata 6 drive) 2x60 ssd drives, but I've heard it's not possible. PCI ssd drive (~120gb). They all have very similar read/write values and prices but I was wondering if anyone could give some tips on which way to go. I run win7x64 and do a lot of multitasking(especially adobe stuff).

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  • Most efficient RAID configuration with 6 disks?

    - by Bob King
    I have a hand-me-down server that I'm setting up at home and it's got 6 72Gb hard disks (as well as 2 18Gb drives that I'm using for the OS). What is the best way to configure those 6 drives? Should I RAID 5 or 6, or go with something simpler, like mirroring? I'm planning to use it to hold a source control repository, and possibly data for a development SQL server. The machine has a hardware raid controller. It is an old IBM server.

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  • Apache with mod_php high memory utilization

    - by Raj
    We have Magento application deployed on Apache with mod_php and mysql. I have observed that sometime apache server starts consuming high memory which causes memory swapping and results in high load on servers. whenever there is high load on apache server, the apache processes which are causing the high load were in sleep mode at mysql end and CLOSE_WAIT state at client side. Any help is appreciated to resolve this issue.

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  • Efficient mirroring of directories using hard links [closed]

    - by zoqaeski
    I'm backing up my music collection on to a number of NTFS-formatted external hard-drives; however, as I store my main collection in FLAC and have my library on my laptop as MP3s to save space, I want to be able to back up both sets, because mass conversion between formats is time-consuming. The "music" directory can contain any format; the "mp3s" directory contains only MP3s converted from files in the "music" directory. The music collection on the laptop contains only MP3s, but they come from both sources. When I backup my laptop's library to the "mp3s" directory, I want to only copy across MP3 files that don't exist in the "music" directory; those that do should be hard-linked to the "music" directory. All directories have an identical hierarchy, sorted by artist, album, date, discnumber if applicable, etc, and I use a tagging editor to ensure consistency across all these locations. I'm also using a Linux computer, but keeping the music collections on NTFS-formatted partitions so that they are readable by both Linux and Windows. At the moment, I use the following command to perform the backups, but this is time-consuming due to the expensive nature of finding hard links. rsync -avu --progress --relative --ignore-existing --link-dest=../music/ **/*.mp3 /media/ntfspocket/mp3s Is there a way to perform this backup more efficiently, taking advantage of the directory hierarchy?

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  • Oracle présente sa solution « in-memory » pour concurrencer SAP et Microsoft, l'option sera disponible avec Oracle Database 12c dans un mois

    Oracle présente sa solution « in-memory » pour concurrencer SAP et Microsoft l'option sera disponible avec Oracle Database 12c dans un moisDans le secteur des bases de données, la tendance est à la course aux performances avec la nouvelle option « in-Memory », un concept qui consiste à mettre en cache les données traitées par les applications plutôt que, par exemple, de faire des appels à un serveur.SAP a été le pionnier des solutions in-memory avec sa solution « SAP in-memory » incluse dans la...

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  • The amount of memory used by each process

    - by tuxsmouf
    I have a mysql server running debian with 2GO of RAM. I would like to know the amount of memory used by each process. I thought ps -aux was the command and options for it. But I only see 90 MO used by several processes and free -m tells me that 1400 MO are used. Is there a way to have a better view with the processes and the memory used by them ?

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  • Indy Write Buffering / Efficient TCP communication

    - by Smasher
    I know, I'm asking a lot of questions...but as a new delphi developer I keep falling over all these questions :) This one deals with TCP communication using indy 10. To make communication efficient, I code a client operation request as a single byte (in most scenarios followed by other data bytes of course, but in this case only one single byte). Problem is that var Bytes : TBytes; ... SetLength (Bytes, 1); Bytes [0] := OpCode; FConnection.IOHandler.Write (Bytes, 1); ErrorCode := Connection.IOHandler.ReadByte; does not send that byte immediately (at least the servers execute handler is not invoked). If I change the '1' to a '9' for example everything works fine. I assumed that Indy buffers the outgoing bytes and tried to disable write buffering with FConnection.IOHandler.WriteBufferClose; but it did not help. How can I send a single byte and make sure that it is immediatly sent? And - I add another little question here - what is the best way to send an integer using indy? Unfortunately I can't find function like WriteInteger in the IOHandler of TIdTCPServer...and WriteLn (IntToStr (SomeIntVal)) seems not very efficient to me. Does it make a difference whether I use multiple write commands in a row or pack things together in a byte array and send that once? Thanks for any answers! EDIT: I added a hint that I'm using Indy 10 since there seem to be major changes concerning the read and write procedures.

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  • Efficient way to create a large number of SharePoint folders

    - by BeraCim
    Hi all: I'm currently creating a large number of SharePoint folders within a list (e.g. ~800 folders), with each folder containing a different number of items. The way it is currently done is that it programmatically reads off the content types, items, event listeners and the likes off the same folder from another web, then creates the same folder in the current web. That ran reasonably fine and fast on a dev environment. However when it goes to an environment with WFEs and farms, it slowed down a lot. I have checked that there are no leaks in the code, and that the code follows SharePoint coding best practices. At the moment I'm looking at it at the code level. From your experience, are there any efficient ways of creating a large number of SharePoint folders, lists and items? EDIT: I'm currently using SharePoint API, but will be looking at moving to using Web Service in the future. I'm interested in looking at both options though. Code wise, its just the general reading of a folder and its content types plus items and their details, then create the same folder in the same list with the same content types, then copy over the items using patch update. I want to know whether there are more efficient ways of doing the above. Thanks.

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  • Efficient method to calculate the rank vector of a list in Python

    - by Tamás
    I'm looking for an efficient way to calculate the rank vector of a list in Python, similar to R's rank function. In a simple list with no ties between the elements, element i of the rank vector of a list l should be x if and only if l[i] is the x-th element in the sorted list. This is simple so far, the following code snippet does the trick: def rank_simple(vector): return [rank for rank in sorted(range(n), key=vector.__getitem__)] Things get complicated, however, if the original list has ties (i.e. multiple elements with the same value). In that case, all the elements having the same value should have the same rank, which is the average of their ranks obtained using the naive method above. So, for instance, if I have [1, 2, 3, 3, 3, 4, 5], the naive ranking gives me [0, 1, 2, 3, 4, 5, 6], but what I would like to have is [0, 1, 3, 3, 3, 5, 6]. Which one would be the most efficient way to do this in Python? Footnote: I don't know if NumPy already has a method to achieve this or not; if it does, please let me know, but I would be interested in a pure Python solution anyway as I'm developing a tool which should work without NumPy as well.

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  • To have efficient many-to-many relation in Java

    - by Masi
    How can you make the efficient many-to-many -relation from fileID to Words and from word to fileIDs without database -tools like Postgres in Java? I have the following classes. The relation from fileID to words is cheap, but not the reverse, since I need three for -loops for it. My solution is not apparently efficient. Other options may be to create an extra class that have word as an ID with the ArrayList of fileIDs. Reply to JacobM's answer The relevant part of MyFile's constructors is: /** * Synopsis of data in wordToWordConutInFile.txt: * fileID|wordID|wordCount * * Synopsis of the data in the file wordToWordID.txt: * word|wordID **/ /** * Getting words by getting first wordIDs from wordToWordCountInFile.txt and then words in wordToWordID.txt. */ InputStream in2 = new FileInputStream("/home/dev/wordToWordCountInFile.txt"); BufferedReader fi2 = new BufferedReader(new InputStreamReader(in2)); ArrayList<Integer> wordIDs = new ArrayList<Integer>(); String line = null; while ((line = fi2.readLine()) != null) { if ((new Integer(line.split("|")[0]) == currentFileID)) { wordIDs.add(new Integer(line.split("|")[6])); } } in2.close(); // Getting now the words by wordIDs. InputStream in3 = new FileInputStream("/home/dev/wordToWordID.txt"); BufferedReader fi3 = new BufferedReader(new InputStreamReader(in3)); line = null; while ((line = fi3.readLine()) != null) { for (Integer wordID : wordIDs) { if (wordID == (new Integer(line.split("|")[1]))) { this.words.add(new Word(new String(line.split("|")[0]), fileID)); break; } } } in3.close(); this.words.addAll(words); The constructor of Word is at the paste.

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