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• 1600+ 'postfix-queue' processes - OK to have this many?

  - by atomicguava

  I have a Plesk 9.5.4 CentOS server running Postfix. I had been having massive problems with the mailq being full of 'double-bounce' email messages containing errors relating to 'Queue File Write Error', but I believe these are now fixed thanks to this thread. My new problem is that when I run top, I can see lots of processes called 'postfix-queue' and have fairly high load: top - 13:59:44 up 6 days, 21:14, 1 user, load average: 2.33, 2.19, 1.96 Tasks: 1743 total, 1 running, 1742 sleeping, 0 stopped, 0 zombie Cpu(s): 5.1%us, 8.8%sy, 0.0%ni, 85.3%id, 0.8%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 3145728k total, 1950640k used, 1195088k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1324 apache 16 0 344m 33m 5664 S 21.7 1.1 0:03.17 httpd 32443 apache 15 0 350m 36m 6864 S 14.4 1.2 0:13.83 httpd 1678 root 15 0 13948 2568 952 R 2.0 0.1 0:00.37 top 1890 mysql 15 0 689m 318m 7600 S 1.0 10.4 219:45.23 mysqld 1394 apache 15 0 352m 41m 5972 S 0.7 1.3 0:03.91 httpd 1369 apache 15 0 344m 33m 5444 S 0.3 1.1 0:02.03 httpd 1592 apache 15 0 349m 37m 5912 S 0.3 1.2 0:02.52 httpd 1633 apache 15 0 336m 20m 1828 S 0.3 0.7 0:00.01 httpd 1952 root 19 0 335m 28m 10m S 0.3 0.9 1:35.41 httpd 1 root 15 0 10304 732 612 S 0.0 0.0 0:04.41 init 1034 mhandler 15 0 11520 1160 884 S 0.0 0.0 0:00.00 postfix-queue 1036 mhandler 15 0 11516 1120 860 S 0.0 0.0 0:00.00 postfix-queue 1041 mhandler 17 0 11516 1156 884 S 0.0 0.0 0:00.00 postfix-queue 1043 mhandler 15 0 11512 1116 860 S 0.0 0.0 0:00.00 postfix-queue 1063 mhandler 16 0 11516 1160 884 S 0.0 0.0 0:00.00 postfix-queue 1068 mhandler 15 0 11516 1128 860 S 0.0 0.0 0:00.00 postfix-queue 1071 mhandler 17 0 11512 1152 884 S 0.0 0.0 0:00.00 postfix-queue 1072 mhandler 15 0 11512 1116 860 S 0.0 0.0 0:00.00 postfix-queue 1081 mhandler 16 0 11516 1156 884 S 0.0 0.0 0:00.00 postfix-queue 1082 mhandler 15 0 11512 1120 860 S 0.0 0.0 0:00.00 postfix-queue 1089 popuser 15 0 33892 1972 1200 S 0.0 0.1 0:00.02 pop3d 1116 mhandler 16 0 11516 1164 884 S 0.0 0.0 0:00.00 postfix-queue 1117 mhandler 15 0 11516 1124 860 S 0.0 0.0 0:00.00 postfix-queue 1120 mhandler 16 0 11516 1160 884 S 0.0 0.0 0:00.00 postfix-queue 1121 mhandler 15 0 11512 1120 860 S 0.0 0.0 0:00.00 postfix-queue 1130 mhandler 17 0 11516 1160 884 S 0.0 0.0 0:00.00 postfix-queue 1131 mhandler 15 0 11516 1120 860 S 0.0 0.0 0:00.00 postfix-queue 1149 root 17 -4 12572 680 356 S 0.0 0.0 0:00.00 udevd 1181 mhandler 16 0 11516 1160 884 S 0.0 0.0 0:00.00 postfix-queue 1183 mhandler 15 0 11512 1116 860 S 0.0 0.0 0:00.00 postfix-queue 1224 mhandler 16 0 11516 1160 884 S 0.0 0.0 0:00.00 postfix-queue 1225 mhandler 15 0 11516 1120 860 S 0.0 0.0 0:00.00 postfix-queue 1228 apache 15 0 345m 34m 5472 S 0.0 1.1 0:04.64 httpd 1241 mhandler 16 0 11516 1156 884 S 0.0 0.0 0:00.00 postfix-queue 1242 mhandler 15 0 11512 1120 860 S 0.0 0.0 0:00.00 postfix-queue 1251 mhandler 17 0 11516 1156 884 S 0.0 0.0 0:00.00 postfix-queue 1252 mhandler 15 0 11516 1120 860 S 0.0 0.0 0:00.00 postfix-queue 1258 apache 15 0 349m 37m 5444 S 0.0 1.2 0:01.28 httpd When I run ps -Al | grep -c postfix-queue it returns 1618! My question is this: is this normal or is there something else going wrong with Postfix? Right now, if I run mailq it is empty, and qshape deferred / qshape active are empty too. Thanks in advance for your help.

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• how to adjust the size of the root partition on live arch linux system (/dev/mapper/arch_root-image)

  - by leon

  Summary: I created a bootable usb drive with a live Bridge linux (ARCH based) on it. Everything works fine. The live system mounts a device called /dev/mapper/arch_root-image as its ext4 root partition (/ mount point). The problem is that I dont know how to control the size of this partition. This is not a Bridge specific issue (also happens with Archbang) Detail: My usb drive has a dos partition table with 2 ext2 partitions $ fdisk -l /dev/sdb Disk /dev/sdb: 29,8 GiB, 32006733824 bytes, 62513152 sectors Unités : secteur de 1 × 512 = 512 octets Taille de secteur (logique / physique) : 512 octets / 512 octets taille d'E/S (minimale / optimale) : 512 octets / 512 octets Type d'étiquette de disque : dos Identifiant de disque : 0x0007b7e2 Périphérique Amorçage Début Fin Blocs Id Système /dev/sdb1 * 2048 2002943 1000448 83 Linux /dev/sdb2 2002944 32258047 15127552 83 Linux sdb1 is approx 1GB and sdb2 is 14GB. The live system is on sdb1. sdb2 is empty. Now when I boot the live system, its filesystem looks like this: $ mount proc on /proc type proc (rw,nosuid,nodev,noexec,relatime) sys on /sys type sysfs (rw,nosuid,nodev,noexec,relatime) dev on /dev type devtmpfs (rw,nosuid,relatime,size=505272k,nr_inodes=126318,mode=755) run on /run type tmpfs (rw,nosuid,nodev,relatime,mode=755) /dev/sda1 on /run/archiso/bootmnt type ext2 (ro,relatime) cowspace on /run/archiso/cowspace type tmpfs (rw,relatime,size=772468k,mode=755) /dev/loop0 on /run/archiso/sfs/root-image type squashfs (ro,relatime) /dev/mapper/arch_root-image on / type ext4 (rw,relatime) securityfs on /sys/kernel/security type securityfs (rw,nosuid,nodev,noexec,relatime) tmpfs on /dev/shm type tmpfs (rw,nosuid,nodev) devpts on /dev/pts type devpts (rw,nosuid,noexec,relatime,gid=5,mode=620,ptmxmode=000) tmpfs on /sys/fs/cgroup type tmpfs (rw,nosuid,nodev,noexec,mode=755) cgroup on /sys/fs/cgroup/systemd type cgroup (rw,nosuid,nodev,noexec,relatime,xattr,release_agent=/usr/lib/systemd/systemd-cgroups-agent,name=systemd) pstore on /sys/fs/pstore type pstore (rw,nosuid,nodev,noexec,relatime) cgroup on /sys/fs/cgroup/cpuset type cgroup (rw,nosuid,nodev,noexec,relatime,cpuset) cgroup on /sys/fs/cgroup/cpu,cpuacct type cgroup (rw,nosuid,nodev,noexec,relatime,cpuacct,cpu) cgroup on /sys/fs/cgroup/memory type cgroup (rw,nosuid,nodev,noexec,relatime,memory) cgroup on /sys/fs/cgroup/devices type cgroup (rw,nosuid,nodev,noexec,relatime,devices) cgroup on /sys/fs/cgroup/freezer type cgroup (rw,nosuid,nodev,noexec,relatime,freezer) cgroup on /sys/fs/cgroup/net_cls type cgroup (rw,nosuid,nodev,noexec,relatime,net_cls) cgroup on /sys/fs/cgroup/blkio type cgroup (rw,nosuid,nodev,noexec,relatime,blkio) mqueue on /dev/mqueue type mqueue (rw,relatime) debugfs on /sys/kernel/debug type debugfs (rw,relatime) hugetlbfs on /dev/hugepages type hugetlbfs (rw,relatime) configfs on /sys/kernel/config type configfs (rw,relatime) systemd-1 on /proc/sys/fs/binfmt_misc type autofs (rw,relatime,fd=36,pgrp=1,timeout=300,minproto=5,maxproto=5,direct) tmpfs on /tmp type tmpfs (rw) tmpfs on /etc/pacman.d/gnupg type tmpfs (rw,relatime,mode=755) As we can see, the root partition is from the device /dev/mapper/arch_root-image and my problem is that the live system recognizes it as a 3.9GB drive $ df -h Filesystem Size Used Avail Use% Mounted on /dev/mapper/arch_root-image 3.9G 1.9G 2.1G 48% / dev 494M 0 494M 0% /dev run 503M 23M 481M 5% /run /dev/sda1 962M 590M 324M 65% /run/archiso/bootmnt cowspace 755M 32M 723M 5% /run/archiso/cowspace /dev/loop0 520M 520M 0 100% /run/archiso/sfs/root-image tmpfs 503M 132K 503M 1% /dev/shm tmpfs 503M 0 503M 0% /sys/fs/cgroup tmpfs 503M 360K 503M 1% /tmp tmpfs 503M 896K 503M 1% /etc/pacman.d/gnupg My question is how is this size controled? I suspect this is related to the content of the aitab file which is part of the Bridge iso image: $ cat aitab # <img> <mnt> <arch> <sfs_comp> <fs_type> <fs_size> root-image / i686 xz ext4 50% I have read https://wiki.archlinux.org/index.php/archiso#aitab but found no clue

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• Distributed and/or Parallel SSIS processing

  - by Jeff

  Background: Our company hosts SaaS DSS applications, where clients provide us data Daily and/or Weekly, which we process & merge into their existing database. During business hours, load in the servers are pretty minimal as it's mostly users running simple pre-defined queries via the website, or running drill-through reports that mostly hit the SSAS OLAP cube. I manage the IT Operations Team, and so far this has presented an interesting "scaling" issue for us. For our daily-refreshed clients, the server is only "busy" for about 4-6 hrs at night. For our weekly-refresh clients, the server is only "busy" for maybe 8-10 hrs per week! We've done our best to use some simple methods of distributing the load by spreading the daily clients evenly among the servers such that we're not trying to process daily clients back-to-back over night. But long-term this scaling strategy creates two notable issues. First, it's going to consume a pretty immense amount of hardware that sits idle for large periods of time. Second, it takes significant Production Support over-head to basically "schedule" the ETL such that they don't over-lap, and move clients/schedules around if they out-grow the resources on a particular server or allocated time-slot. As the title would imply, one option we've tried is running multiple SSIS packages in parallel, but in most cases this has yielded VERY inconsistent results. The most common failures are DTExec, SQL, and SSAS fighting for physical memory and throwing out-of-memory errors, and ETLs running 3,4,5x longer than expected. So from my practical experience thus far, it seems like running multiple ETL packages on the same hardware isn't a good idea, but I can't be the first person that doesn't want to scale multiple ETLs around manual scheduling, and sequential processing. One option we've considered is virtualizing the servers, which obviously doesn't give you any additional resources, but moves the resource contention onto the hypervisor, which (from my experience) seems to manage simultaneous CPU/RAM/Disk I/O a little more gracefully than letting DTExec, SQL, and SSAS battle it out within Windows. Question to the forum: So my question to the forum is, are we missing something obvious here? Are there tools out there that can help manage running multiple SSIS packages on the same hardware? Would it be more "efficient" in terms of parallel execution if instead of running DTExec, SQL, and SSAS same machine (with every machine running that configuration), we run in pairs of three machines with SSIS running on one machine, SQL on another, and SSAS on a third? Obviously that would only make sense if we could process more than the three ETL we were able to process on the machine independently. Another option we've considered is completely re-architecting our SSIS package to have one "master" package for all clients that attempts to intelligently chose a server based off how "busy" it already is in terms of CPU/Memory/Disk utilization, but that would be a herculean effort, and seems like we're trying to reinvent something that you would think someone would sell (although I haven't had any luck finding it). So in summary, are we missing an obvious solution for this, and does anyone know if any tools (for free or for purchase, doesn't matter) that facilitate running multiple SSIS ETL packages in parallel and on multiple servers? (What I would call a "queue & node based" system, but that's not an official term). Ultimately VMWare's Distributed Resource Scheduler addresses this as you simply run a consistent number of clients per VM that you know will never conflict scheduleing-wise, then leave it up to VMWare to move the VMs around to balance out hardware usage. I'm definitely not against using VMWare to do this, but since we're a 100% Microsoft app stack, it seems like -someone- out there would have solved this problem at the application layer instead of the hypervisor layer by checking on resource utilization at the OS, SQL, SSAS levels. I'm open to ANY discussion on this, and remember no suggestion is too crazy or radical! :-) Right now, VMWare is the only option we've found to get away from "manually" balancing our resources, so any suggestions that leave us on a pure Microsoft stack would be great. Thanks guys, Jeff

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• How does the Cloud compare to Colocation? And development too

  - by David

  Currently I/we run a SaaS web application where each subscriber has their own physical instance of the application in addition to their own database. The setup has each web application instance deployed on two different IIS boxes both for load-balancing and redundancy (the machines have their Windows Update install times 12 hours apart, for example). Databases are mirrored on two different SQL Server 2012 machines with AlwaysOn for uptime. I don't make use of SQL Server clustering (as it doesn't provide storage-level failover: we don't have a shared storage box). Because it's a Windows setup it means there are two Domain Controllers (we cheat: they're both Mac Minis, 17W each, which keeps our colo power costs low). Finally there's also an Exchange server (Mailbox, Hub Transport and Client Access). One of the SQL Servers also doubles-up as an Exchange Hub Transport. Running costs are about $700 a month for our quarter-rack colocation (which includes power and peering/transfer), then there's about $150 a month for SPLA licensing, so $850 a month in total. Then there's the hard-to-quantify cost of administration, but I reckon I spend a couple of hours a week checking-in on the servers: reviewing event logs, etc. I keep getting bombarded by ads and manufactured news stories about how great "the cloud" is. Back in 2008 when the cloud was taking off I was reading up about the proper "cloud" services like Google AppEngine, where you write in Python against Google's API and that's how they scale your application across servers and also use their database provider for scaling storage. Simple enough to understand. Then came along Amazon, and I understand how Amazon Storage works, but I'm not sure how Amazon Compute works: web application pages don't take much CPU time to compute, how do you even quantify usage anyway? Finally, RackSpace gets in the act and now I'm really confused. RackSpace advertise "Cloud" SQL Server 2012 available for about "$0.70 per hour", going by how they advertise it I thought the "hour" meant the sum of CPU time, IO blocking time, maybe time spent transferring data, so for a low-intensity application that works out pretty cheap then? Nope. I went on to a Sales Chat window and spoke to one of their advisors. They told me the $0.70/hour was actually for every hour the SQL Server is running... but who wants a SQL Server for only a few hours? You're going to need it available 24 hours a day for months on end. $0.70 * 24 * 31 works out at $520 a month, which is rediculously expensive for SQL Server. An SPLA license for SQL Server is only $50 a month or so. That $520 a month does not include "fanatical support", and you also need to stack on top the costs of the host Windows server instance too. From what I can tell, Rackspace's "Cloud" products seem like like an cynical rebranding of an overpriced VPS service, but priced by the hour. I have the same confusion about Windows Azure which uses similar terms to describe the products available, but I think that's because Azure offers both traditional shared webhosting in addition to their own APIs you can target for scalable applications.

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• how to install 'version.h' in ubuntu ?

  - by user252098

  Just now , I try to install the Jungo WinDriver in the Ubuntu 13.10 . But I am puzzled by the its manual of how to Install version.h : Install version.h: The file version.h is created when you first compile the Linux kernel source code. Some distributions provide a compiled kernel without the file version.h. Look under /usr/src/linux/include/linux to see whether you have this file. If you do not, follow these steps: Become super user: $ su Change directory to the Linux source directory: # cd /usr/src/linux Type: # make xconfig Save the configuration by choosing Save and Exit. Type: # make dep Exit super user mode: # exit But the shell says: warning: make dep is unnecessary now. Then, I found out there is a version.h in /usr/src/linux-headers-3.11.0.12-generic, so I type: /usr/src/windriver/redist# ./configure --with-kernel-source=/usr/src/linux-headers-3.11.0.12-generic But, the windriver run fails: USE_KBUILD = yes checking for cpu architecture... x86_64 checking for WinDriver root directory... /usr/src/WinDriver checking for linux kernel source... found at /usr/src/linux checking for lib directory... ln -sf $(ROOT_DIR)/lib/$(SHARED_OBJECT)_32.so /usr/lib/$(SHARED_OBJECT).so; ln -s /usr/lib /usr/lib64; ln -sf $(ROOT_DIR)/lib/$(SHARED_OBJECT).so /usr/lib64/$(SHARED_OBJECT).so checking which directories to include... -I/usr/src/linux/include checking linux kernel version... 3.11.10.6 checking for modules installation directory... /lib/modules/3.11.0-12-generic/kernel/drivers/misc checking output directory... LINUX.3.11.0-12-generic.x86_64 checking target... LINUX.3.11.0-12-generic.x86_64/windrvr6_usb.ko checking for regparm kernel option... find: `/usr/src/WinDriver/redist/.tmp_driver/.tmp_versions': No such file or directory 0 checking for modpost location... /usr/src/linux/scripts/mod/modpost configure.usb: creating ./config.status config.status: creating makefile.usb.kbuild checking for cpu architecture... x86_64 checking for WinDriver root directory... /usr/src/WinDriver checking for linux kernel source... found at /usr/src/linux checking for lib directory... ln -sf $(ROOT_DIR)/lib/$(SHARED_OBJECT)_32.so /usr/lib/$(SHARED_OBJECT).so; ln -s /usr/lib /usr/lib64; ln -sf $(ROOT_DIR)/lib/$(SHARED_OBJECT).so /usr/lib64/$(SHARED_OBJECT).so checking which directories to include... -I/usr/src/linux/include checking linux kernel version... 3.11.10.6 checking for modules installation directory... /lib/modules/3.11.0-12-generic/kernel/drivers/misc checking output directory... LINUX.3.11.0-12-generic.x86_64 checking target... LINUX.3.11.0-12-generic.x86_64/windrvr6.ko checking for regparm kernel option... find: `/usr/src/WinDriver/redist/.tmp_driver/.tmp_versions': No such file or directory 0 checking for right linked object... windrvr_gcc_v3.a checking for modpost location... /usr/src/linux/scripts/mod/modpost configure.wd: creating ./config.status config.status: creating makefile.wd.kbuild What is the problem?

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• Comparison of the multiprocessing module and pyro?

  - by fivebells

  I use pyro for basic management of parallel jobs on a compute cluster. I just moved to a cluster where I will be responsible for using all the cores on each compute node. (On previous clusters, each core has been a separate node.) The python multiprocessing module seems like a good fit for this. I notice it can also be used for remote-process communication. If anyone has used both frameworks for remote-process communication, I'd be grateful to hear how they stack up against each other. The obvious benefit of the multiprocessing module is that it's built-in from 2.6. Apart from that, it's hard for me to tell which is better.

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• Choosing between Berkeley DB Core and Berkeley DB JE

  - by zokier

  I'm designing a Java based web-app and I need a key-value store. Berkeley DB seems fitting enough for me, but there appears to be TWO Berkeley DBs to choose from: Berkeley DB Core which is implemented in C, and Berkeley DB Java Edition which is implemented in pure Java. The question is, how to choose which one to use? With web-apps scalability and performance is quite important (who knows, maybe my idea will become the next Youtube), and I couldn't find easily any meaningful benchmarks between the two. I have yet to familiarize with Cores Java API, but I find it hard to believe that it could be much worse than Java Editions, which seems to be quite nice. If some other key-value store would be much better, feel free to recommend that too. I'm storing smallish binary blobs, and keys probably will be hashes of the data, or some other unique id.

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• iPhone Simulator locks up immediately upon Build / Run

  - by Steve

  I'm having a problem getting my MacBook set up to build iPhone *apps* in xCode. The iPhone Simulator locks up and shows the "spinning circle" busy icon. I've tried everything I can think of, including resetting the simulator tried all of the different hardware options tried the two debug build choices in xCode. uninstalling the SDK and completely reinstalling I downloaded the SDK today - "xcode_3.2.2_and_iphone_sdk_3.2_final" I'm just upgraded from Leopard to Snow Leopard (10.6.3). I've run all the software updates. xCode version says 3.2.2 (1650) If it matters, my MacBook is 3-4 years old, 13 inch, dual 2.16 ghz intel cores, 2 gig RAM. I've never had a single problem with it. I would be so grateful if anyone can help me thanks so much,

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• Is it possible to tell IIS 7 to process the request queue in parallel?

  - by Uwe Keim

  Currently we are developing an ASMX, ASP 2.0, IIS 7 web service that does some calculations (and return a dynamically generated document) and will take approx. 60 seconds to run. Since whe have a big machine with multiple cores and lots of RAM, I expected that IIS tries its best to route the requests that arrive in its requests queue to all available threads of the app pool's thread pool. But we experience quiet the opposite: When we issue requests to the ASMX web service URL from multiple different clients, the IIS seems to serially process these requests. I.e. request 1 arrives, is being processed, then request 2 is being processed, then request 3, etc. Question: Is it possible (without changing the C# code of the web service) to configure IIS to process requests in parallel, if enough threads are available? If yes: how should I do it? It no: any workarounds/tips? Thanks Uwe

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• Do Scala and Erlang use green threads?

  - by CHAPa

  I've been reading a lot about how Scala and Erlang does lightweight threads and their concurrency model (actors). However, I have my doubts. Do Scala and Erlang use an approach similar to the old thread model used by Java (green threads) ? For example, suppose that there is a machine with 2 cores, so the Scala/Erlang environment will fork one thread per processor? The other threads will be scheduled by user-space (Scala VM / Erlang VM ) environment. Is this correct? Under the hood, how does this really work?

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• How about the Asp.net processes and threads and apppools?

  - by Michel

  Hi, as i understand, when i load a asp.net .aspx page on the (iis)server, it's processed via the w3p.exe process. But when iis gets multiple requests, are they all processed by the same w3p process? And does this process automaticly use all my processors and cores? And after that: when i start i new thread in my page, this thread still works when the pages is already served to the client. Where does this thread live? also in the w3p.exe process? And what if i assign another apppool to my site, what does that do? Michel

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• rails using jruby 1.5 - slow!!

  - by gucki

  Hi! I'm currently using passenger with ree 1.8.7 in production for a rails 2.3.5 project using postgresql as a database. ab -n 10000 -c 100: 285.69 [#/sec] (mean) I read jruby should be the fastest solution, so I installed jruby-1.5.0.rc2 together with jdbc postgres adapter and glassfish. As the performance is really poor, I also started running my application using "jruby --server -J-Druby.jit.threshold=0 script/server -e production". Anyway, I only get ab -n 10000 -c 100: 43.88 [#/sec] (mean) Thread_safe! is activated in my rails config. Java seems to use all cores, cpu usage is around 350% (top). ruby -v: jruby 1.5.0.RC2 (ruby 1.8.7 patchlevel 249) (2010-04-28 7c245f3) (Java HotSpot(TM) 64-Bit Server VM 1.6.0_16) [amd64-java] I wonder what I'm doing wrong and how to get better performancre with jruby than with ree? Thanks, Corin

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• Scala/Erlang use something like greenThread or not ?

  - by CHAPa

  Hi all, Im reading a lot about how scala/Erlang does lightweight threads and your concurrency model ( Actor Model ). Off course, some doubts appear in my head. Scala/Erlang use a approach similar to the old thread model used by java (greenThread) ? for example, suppose that there is a machine with 2 cores, so the scala/erlang environment will fork one thread per processor ? The other threads will be scheduled by user-space( scala VM / erlang vm ) environment. is it correct ? how under the hood that really work ? thanks a lot.

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• Why does my server hang when I call a page over files_get_content?

  - by Marc

  I am trying to get content from a wordpress installation on a subdomain of my server. I tried that with file_get_content and also with Zend_Http_Client. $client = new Zend_Http_Client(Zend_Registry::get('CONFIG')->static->$name->$lang); $content = $client->request()->getBody(); As long as I run in on my localhost, it works fine. As soon as it runs on the same server as the subdomain, it hangs forever (timeout). Specs: Zend Framework Application trying to get HTML from a Wordpress Page Server running on lighttpd Several cores, much ram Do you guys have an idea on how this problem can be resolved? Cheerio

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• Which number of processes will give me the best performance ?

  - by Maarten

  I am doing some expensive caluations right now. It is one programm, which I run several instances of at the same time. I am running them under linux on a machine with 4 cpus with 6 cores each. The cpus are Intel Xeon X5660, which support hyper thearting. (That's some insane hardware, huh?) Right now I am running 24 processes at once. Would it be better to run more, b/c of HT ?

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• How do I get Java to use my multi-core processor?

  - by Rudiger

  I'm using a GZIPInputStream in my program, and I know that the performance would be helped if I could get Java running my program in parallel. In general, is there a command-line option for the standard VM to run on many cores? It's running on just one as it is. Thanks! Edit I'm running plain ol' Java SE 6 update 17 on Windows XP. Would putting the GZIPInputStream on a separate thread explicitly help? No! Do not put the GZIPInputStream on a separate thread! Do NOT multithread I/O! Edit 2 I suppose I/O is the bottleneck, as I'm reading and writing to the same disk... In general, though, is there a way to make GZIPInputStream faster? Or a replacement for GZIPInputStream that runs parallel? Edit 3 Code snippet I used: GZIPInputStream gzip = new GZIPInputStream(new FileInputStream(INPUT_FILENAME)); DataInputStream in = new DataInputStream(new BufferedInputStream(gzip));

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• MySQL - How To Avoid Repair With Keycache?

  - by dvancouver

  I have had some experience with optimizing the my.cnf file but my database has around 4 million records (MyISAM). I am trying to restore from a mysqldump but every time I do I eventually get the dreaded "Repair With Keycache", that may take days. Is there anyway to get past this and let it roll as "Repair By Sorting"? I have 2GB RAM, Dual Cores, lots of extra hard-drive space. Snip out of my.cnf: set-variable = max_connections=650 set-variable = key_buffer=256M set-variable = myisam_sort_buffer_size=64M set-variable = join_buffer=1M set-variable = record_buffer=1M set-variable = sort_buffer_size=2M set-variable = read_buffer_size=2M set-variable = query_cache_size=32M set-variable = table_cache=1024 set-variable = thread_cache_size=256 set-variable = wait_timeout=7200 set-variable = connect_timeout=10 set-variable = max_allowed_packet=16M set-variable = max_connect_errors=10 set-variable = thread_concurrency=8

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• Using a "local" S3 emulation layer as a replacement for HDFS?

  - by user183394

  I have been testing out the most recent Cloudera CDH4 hadoop-conf-pseudo (i.e. MRv2 or YARN) on a notebook, which has 4 cores, 8GB RAM, an Intel X25MG2 SSD, and runs a S3 emulation layer my colleagues and I wrote in C++. The OS is Ubuntu 12.04LTS 64bit. So far so good. Looking at Setting up hadoop to use S3 as a replacement for HDFS, I would like to do it on my notebook. Nevertheless, I can't find where I can change the jets3t.properties for setting the end point to localhost. I downloaded the hadoop-2.0.1-alpha.tar.gz and searched the source without finding out a clue. There is a similar Q on SO Using s3 as fs.default.name or HDFS?, but I want to use our own lightweight and fast S3 emulation layer, instead of AWS S3, for our experiments. I would appreciate a hint as to how I can change the end point to a different hostname. Regards, --Zack

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• HPC (mainly on Java)

  - by Insectatorious

  I'm looking for some way of using the number-crunching ability of a GPU (with Java perhaps?) in addition to using the multiple cores that the target machine has. I will be working on implementing (at present) the A* Algorithm but in the future I hope to replace it with a Genetic Algorithm of sorts. I've looked at Project Fortress but as I'm building my GUI in JavaFX, I'd prefer not to stray too far from a JVM. Of course, should no feasible solution be available, I will migrate to the easiest solution to implement.

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• nginx-tornado-django request timeout

  - by Xie

  We are using nginx-tornado-django to provide web services. That is, no web page frontend. The nginx server serves as a load-balancer. The server has 8 cores, so we launched 8 tornado-django processes on every server. Memcached is also deployed to gain better performance. The requests per day is about 1 million per server. We use MySQL as backend DB. The code is tested and correct. Our profiling shows that normally every request are processed within 100ms. The problem is, we find that about 10 percent of the requests suffers from time-out issue. Many requests didn't even reach tornado. I really don't have much experience on tuning of nginx/tornado/MySQL. Right now I don't have a clue on what is going wrong. Any advise is appreiciated.

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• Can Ruby Fibers be Concurrent?

  - by Jesse J

  I'm trying to get some speed up in my program and I've been told that Ruby Fibers are faster than threads and can take advantage of multiple cores. I've looked around, but I just can't find how to actually run different fibers concurrently. With threads you can dO this: threads = [] threads << Thread.new {Do something} threads << Thread.new {Do something} threads.each {|thread| thread.join} I can't see how to do something like this with fibers. All I can find is yield and resume which seems like just a bunch of starting and stopping between the fibers. Is there a way to do true concurrency with fibers?

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• What parallel programming model do you recommend today to take advantage of the manycore processors

  - by Doctor J

  If you were writing a new application from scratch today, and wanted it to scale to all the cores you could throw at it tomorrow, what parallel programming model/system/language/library would you choose? Why? I am particularly interested in answers along these axes: Programmer productivity / ease of use (can mortals successfully use it?) Target application domain (what problems is it (not) good at?) Concurrency style (does it support tasks, pipelines, data parallelism, messages...?) Maintainability / future-proofing (will anybody still be using it in 20 years?) Performance (how does it scale on what kinds of hardware?) I am being deliberately vauge on the nature of the application in anticipation of getting good general answers useful for a variety of applications.

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• Python threads all executing on a single core

  - by Rob Lourens

  I have a Python program that spawns many threads, runs 4 at a time, and each performs an expensive operation. Pseudocode: for object in list: t = Thread(target=process, args=(object)) # if fewer than 4 threads are currently running, t.start(). Otherwise, add t to queue But when the program is run, Activity Monitor in OS X shows that 1 of the 4 logical cores is at 100% and the others are at nearly 0. Obviously I can't force the OS to do anything but I've never had to pay attention to performance in multi-threaded code like this before so I was wondering if I'm just missing or misunderstanding something. Thanks.

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• Shared Variable Among Ruby Processes

  - by Jesse J

  I have a Ruby program that loads up two very large yaml files, so I can get some speed-up by taking advantage of the multiple cores by forking off some processes. I've tried looking, but I'm having trouble figuring how, or even if, I can share variables in different processes. The following code is what I currently have: @proteins = "" @decoyProteins = "" fork do @proteins = YAML.load_file(database) exit end fork do @decoyProteins = YAML.load_file(database) exit end p @proteins["LVDK"] P displays nil though because of the fork. So is it possible to have the forked processes share the variables? And if so, how?

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• Will Multi threading increase the speed of the calculation on Single Processor

  - by Harsha

  On a single processor, Will multi-threading increse the speed of the calculation. As we all know that, multi-threading is used for Increasing the User responsiveness and achieved by sepating UI thread and calculation thread. But lets talk about only console application. Will multi-threading increases the speed of the calculation. Do we get culculation result faster when we calculate through multi-threading. what about on multi cores, will multi threading increse the speed or not. Please help me. If you have any material to learn more about threading. please post. Thanks in advance, Harsha

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