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  • pdflush hanging on Amazon EBS drives when using multi-GB files - any workaround?

    - by rhh
    Hello, When I run gunzip on a 1.7GB file (which generates an 8GB file) on an EBS volume, pdflush freezes after gunzip runs and the CPU hangs indefinitely at 100% IO Wait. Here's the output from 'ps aux | grep pdflush'. Note the D status root 87 0.0 0.0 0 0 ? D 06:18 0:00 pdflush root 88 0.0 0.0 0 0 ? D 06:18 0:00 pdflush The only solution is to kill the pdflush processes. The processes don't die immediately either. This problem is repeatable and happens with new instances. I'm running 2xlarge instances and I have way more RAM free than is being used (i.e. /proc/meminfo shows 20+GB MemFree) Has anyone found a workaround to this problem in the past? Thanks for any thoughts. Robert

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  • Windows 7 mouse multi selection on windows explorer with CTRL and point to select / single click to open

    - by bortao
    This is something that have annoyed me since i changed to Windows 7. I don't do double click for a long time now since windows introduced 1 click selection (Folder Options Click items as follows Single click to open an item). The problem is, when i click Control and hover over the items, they select/deselect automatically every small amount of mouse movement i make. What i want is to select/deselect the items only when i enter/exit them. So to deselect an item im hovering, i have to move the mouse out of it, and then back in. I'm using Intellimouse Explorer official drivers. (edit) Here's another related annoyance: When you are hovering something and move the mouse inside other item (Holding Ctrl) The new item may or may not be selected. If you continue moving the mouse it gets selected/deselected as you move. (more edit) I have found that the parameter HKCU\Control Panel\Mouse\MouseHoverHeight / MouseHoverWidth have some influence here. If it's set to 2, the item select/deselect really quickly as you move the mouse. When set to larger numbers, its slower. But setting to 20 or 200 don't seem to be much different.

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  • Do you lose everything when you have a hard disk failure in a multi-hard disk LVM that does NOT use RAID?

    - by user72630
    I'm debating about using LVM for a media/file server because I would like to combine multiple physical hard disks into one volume. I do not wish to use any RAID in my LVM so my question is: If one of the multiple hard disks in my volume were to go down would I lose all my data or would I just lose the data that was stored on that individual disk? Also, if I were to just lose the data on the individual disk, would it be as simple as replacing that disk and restoring what was on it from a backup to recover? Thanks everyone.

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  • Linux virtual disk stripping or multi-path samba share?

    - by wachpwnski
    I am trying to build a file storage box for media. It needs to span two or more directories or partitions as one share. There are a few solutions but reasons why I want to avoid them, among these are: Using LVM2 for stripping. I don't really have the resources to back up everything on the volumes incase one HDD goes south. I would end up loosing everything. Maybe there is a better option for this to prevent data loss with hot swappable drives or some kind of raid. Using symbolic links in the share. This will get tedious every time a new sub-directory is added. Is there some kind of software raid I can use to merge two directories virtually? I am aware of the issue where /dev/hda1/media/file.1 and /dev/hdb1/media/file.1 both exist. But I'm sure there are some creative solutions for this.

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  • Force www. on multi domain site and retain http or https [closed]

    - by John Isaacks
    I am using CakePHP which already contains an .htaccess file that looks like: <IfModule mod_rewrite.c> RewriteEngine on RewriteRule ^$ app/webroot/ [L] RewriteRule (.*) app/webroot/$1 [L] </IfModule> I want to force www. (unless it is a subdomain) to avoid duplicate content penalties. It needs to retain http or https Also This application will have multiple domains pointing to it. So the code needs to be able to work with any domain.

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  • Is there a multi-user Remote Desktop app for Mac OS X?

    - by Peter Walke
    Is there a remote desktop app for the Mac that allows multiple people to be remoted in at the same time, similar to RDP in Windows? I've used VNC, but that only allows one person to control the computer. For some background: I'd like to set up a mac that many users can RDP into from PC's to do XCode development. I did some searching and didn't find anything, so I'm assuming it's just not possible, but I want to confirm. Thanks. Update: Thanks to a link in one of the answers, I found a reasonable solution: AquaConnect

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  • Set one background to stretch across multi-monitor display?

    - by John Isaacks
    I have two monitors and my coworker has three. We were wondering if there was a way to set a single background image to stretch across all the monitors. Right now it's the same image but repeated, so it looks like the same image three times in a row. I would like it to be so that the three images/screens combine to show one image if that makes sense. If I can't set one image to stretch across the screens like that, is there a way to set a different background for each screen? Edit: I just wanted to clarify: I am not talking about one image stretching from his monitors to mine, just stretching across our own monitors.

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  • How to set up a home SIP Server/Proxy for multi ring?

    - by zio
    I have a sip account which only allows one device to be registered. When i'm at home I want incoming calls to be able to ring on multiple devices. All of these devices are connected to the local network. I'm guessing the way to do this is using a local server/proxy that would allow multiple registrations which then forwards traffic to/from my sip provider. What a simple way to do this on either OS X, Ubuntu or using some low cost SIP router hardware?

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  • Is the XP VMM a bottleneck on a multi core machine?

    - by JeffV
    I have a dual Xeon hex core machine running an IO intensive application. (WinXP 32) I am seeing a hardware driver (1/2 user mode, 1/2 kernel, streaming data) that is using 6k delta page faults per second. When other applications load or allocate large amounts of memory the driver's hardware buffer gets an underrun (application not feeding it fast enough). Could this be because the kernel is only using one core to service page fault interrupts?

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  • Does multi-platter hard-drive use all of their heads to read simultaneously?

    - by WiSaGaN
    Suppose we have a harddisk with 2 platters with characteristics below: Rotational rate: 10, 000 RPM Avg sectors/track: 1000 Surfaces: 4 Sector size: 512 bytes I was reading "Computer Systems: A Programmer's Perspective 2ed" when I found that it calculates transfer time as if it only uses ONE head to read a sector. If that's the case, why not use 4 heads to write(read) on 4 surfaces? So when I write a 2K bytes file, each head should only need to wait for the platters to rotate just one sector length instead of 4, thus reducing the transfer time by a factor of 4. Or even redesign sector to make each sector on one cylinder but on 4 tracks residing same position respectively on 4 surfaces. Each one of (512/4) bytes. So when the hd needs to read a sector of 512 bytes, we only need the disk to rotate roughly 1/4 compare to original time. The idea looks like RAID 0.

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  • Linux 'top' utility widly inaccurate (more so for multi-CPU/core hardware)?

    - by amn
    Hi all. After using 'top' for long time, albeit basically, I have grown to distrust it's '% CPU' column reports. I have a 8-core (quad core Intel i7 920 with hyperthreading) hardware, and see some wild numbers when running a process that should not use more than 5% overall. top happily reports 50%, and I suspect it is not so. My question is, is it a known fact that it's inaccurate when several CPUs/cores are present? I used 'mpstat' from the 'sysstat' package, and it's showings are much more conservative, certainly within my expectations. I did press '1' for 'top' to switch it to show all the core and us/sy/io stats, but the numbers are substantially higher than with 'mpstat'... I know that my expectations can be unfound as well, but my gut feeling tells me 'top' is wrong! :-) The reason I need to know is because the process I am monitoring only guarantees quality of service with CPU usage "less than 80%" (however vague that sounds), and I need to know how much headroom I have left. It's a streaming server.

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  • How to reduce virtual memory by optimising my PHP code?

    - by iCeR
    My current code (see below) uses 147MB of virtual memory! My provider has allocated 100MB by default and the process is killed once run, causing an internal error. The code is utilising curl multi and must be able to loop with more than 150 iterations whilst still minimizing the virtual memory. The code below is only set at 150 iterations and still causes the internal server error. At 90 iterations the issue does not occur. How can I adjust my code to lower the resource use / virtual memory? Thanks! <?php function udate($format, $utimestamp = null) { if ($utimestamp === null) $utimestamp = microtime(true); $timestamp = floor($utimestamp); $milliseconds = round(($utimestamp - $timestamp) * 1000); return date(preg_replace('`(?<!\\\\)u`', $milliseconds, $format), $timestamp); } $url = 'https://www.testdomain.com/'; $curl_arr = array(); $master = curl_multi_init(); for($i=0; $i<150; $i++) { $curl_arr[$i] = curl_init(); curl_setopt($curl_arr[$i], CURLOPT_URL, $url); curl_setopt($curl_arr[$i], CURLOPT_RETURNTRANSFER, 1); curl_setopt($curl_arr[$i], CURLOPT_SSL_VERIFYHOST, FALSE); curl_setopt($curl_arr[$i], CURLOPT_SSL_VERIFYPEER, FALSE); curl_multi_add_handle($master, $curl_arr[$i]); } do { curl_multi_exec($master,$running); } while($running > 0); for($i=0; $i<150; $i++) { $results = curl_multi_getcontent ($curl_arr[$i]); $results = explode("<br>", $results); echo $results[0]; echo "<br>"; echo $results[1]; echo "<br>"; echo udate('H:i:s:u'); echo "<br><br>"; usleep(100000); } ?> Processor Information Total processors: 8 Processor #1 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #2 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #3 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #4 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #5 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #6 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #7 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #8 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Memory Information Memory for crash kernel (0x0 to 0x0) notwithin permissible range Memory: 8302344k/9175040k available (2176k kernel code, 80272k reserved, 901k data, 228k init, 7466304k highmem) System Information Linux server3.server.com 2.6.18-194.17.1.el5PAE #1 SMP Wed Sep 29 13:31:51 EDT 2010 i686 i686 i386 GNU/Linux Physical Disks SCSI device sda: 1952448512 512-byte hdwr sectors (999654 MB) sda: Write Protect is off sda: Mode Sense: 03 00 00 08 SCSI device sda: drive cache: write back SCSI device sda: 1952448512 512-byte hdwr sectors (999654 MB) sda: Write Protect is off sda: Mode Sense: 03 00 00 08 SCSI device sda: drive cache: write back sd 0:1:0:0: Attached scsi disk sda sd 4:0:0:0: Attached scsi removable disk sdb sd 0:1:0:0: Attached scsi generic sg4 type 0 sd 4:0:0:0: Attached scsi generic sg7 type 0 Current Memory Usage total used free shared buffers cached Mem: 8306672 7847384 459288 0 487912 6444548 -/+ buffers/cache: 914924 7391748 Swap: 4095992 496 4095496 Total: 12402664 7847880 4554784 Current Disk Usage Filesystem Size Used Avail Use% Mounted on /dev/mapper/VolGroup00-LogVol00 898G 307G 546G 36% / /dev/sda1 99M 19M 76M 20% /boot none 4.0G 0 4.0G 0% /dev/shm /var/tmpMnt 4.0G 1.8G 2.0G 48% /tmp

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  • Spawn a multi-threaded Java program from a Windows command line program, spawner won't end until spa

    - by Ross Patterson
    Short version: How can I prevent a spawned Java process in Windows from blocking the spawning process from ending? Long version: I'm trying to spawn a multi-threaded Java program (Selenium RC, not that it should matter) from a program launched from the Windows command line (NAnt's <exec> task, again, not that it should matter). I'm doing it using the Windows "start" command, and the spawned process is started and runs correctly. The spawning process receives control back and finishes (NAnt says "BUILD SUCCEEDED"), but doesn't actually exit to the command line. When the spawned process finally terminates (could be hours later), the command process returns and the command line prompt occurs. For example: <target name="start_rc"> <exec program="cmd" failonerror="false" workingdir="${ross.p5.dir}\Tools\selenium\selenium-server-1.0.1" verbose="true"> <arg value="/C"/> <arg value="start"/> <arg value="java"/> <arg value="-jar"/> <arg path="${ross.p5.dir}\Tools\selenium\selenium-server-1.0.1\selenium-server.jar"/> <arg value="-userExtensions"/> <arg path="${ross.p5.dir}\Tools\selenium\selenium-server-1.0.1\user-extensions.js"/> <arg value="-browserSideLog"/> <arg value="-log"/> <arg value="${ross.p5.dir}\artifacts\selenium.log"/> <arg value="-debug"/> </exec> </target> Produces: C :\Ross>nant start_rc NAnt 0.86 (Build 0.86.2898.0; beta1; 12/8/2007) Copyright (C) 2001-2007 Gerry Shaw http://nant.sourceforge.net Buildfile: file:///C:/Ross/ross.build Target framework: Microsoft .NET Framework 3.5 Target(s) specified: start_rc start_rc: [exec] Starting 'cmd (/C start java -jar C:\p5\Tools\selenium\selenium-server-1.0.1\selenium-server.jar -userExtensions C:\p5\Tools\selenium\selenium-server-1.0.1\user-extensions.js -browserSideLog -log C:\p5\artifacts\selenium.log -debug)' in 'C:\p5\Tools\selenium\selenium-server-1.0.1' BUILD SUCCEEDED Total time: 4.1 seconds. ... and then nothing until I close the window where Java is running, then ... C:\Ross> Obviously something is preventing the nant process from terminating, but shouldn't the Windows START command prevent that?

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  • How can I model the data in a multi-language data editor in WPF with MVVM?

    - by Patrick Szalapski
    Are there any good practices to follow when designing a model/ViewModel to represent data in an app that will view/edit that data in multiple languages? Our top-level class--let's call it Course--contains several collection properties, say Books and TopicsCovered, which each might have a collection property among its data. For example, the data needs to represent course1.Books.First().Title in different languages, and course1.TopicsCovered.First().Name in different languages. We want a app that can edit any of the data for one given course in any of the available languages--as well as edit non-language-specific data, perhaps the Author of a Book (i.e. course1.Books.First().Author). We are having trouble figuring out how best to set up the model to enable binding in the XAML view. For example, do we replace (in the single-language model) each String with a collection of LanguageSpecificString instances? So to get the author in the current language: course1.Books.First().Author.Where(Function(a) a.Language = CurrentLanguage).SingleOrDefault If we do that, we cannot easily bind to any value in one given language, only to the collection of language values such as in an ItemsControl. <TextBox Text={Binding Author.???} /> <!-- no way to bind to the current language author --> Do we replace the top-level Course class with a collection of language-specific Courses? So to get the author in the current language: course1.GetLanguage(CurrentLanguage).Books.First.Author If we do that, we can only easily work with one language at a time; we might want a view to show one language and let the user edit the other. <TextBox Text={Binding Author} /> <!-- good --> <TextBlock Text={Binding ??? } /> <!-- no way to bind to the other language author --> Also, that has the disadvantage of not representing language-neutral data as such; every property (such as Author) would seem to be in multiple languages. Even non-string properties would be in multiple languages. Is there an option in between those two? Is there another way that we aren't thinking of? I realize this is somewhat vague, but it would seem to be a somewhat common problem to design for. Note: This is not a question about providing a multilingual UI, but rather about actually editing multi-language data in a flexible way.

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  • Multi-threaded random_r is slower than single threaded version.

    - by Nixuz
    The following program is essentially the same the one described here. When I run and compile the program using two threads (NTHREADS == 2), I get the following run times: real 0m14.120s user 0m25.570s sys 0m0.050s When it is run with just one thread (NTHREADS == 1), I get run times significantly better even though it is only using one core. real 0m4.705s user 0m4.660s sys 0m0.010s My system is dual core, and I know random_r is thread safe and I am pretty sure it is non-blocking. When the same program is run without random_r and a calculation of cosines and sines is used as a replacement, the dual-threaded version runs in about 1/2 the time as expected. #include <pthread.h> #include <stdlib.h> #include <stdio.h> #define NTHREADS 2 #define PRNG_BUFSZ 8 #define ITERATIONS 1000000000 void* thread_run(void* arg) { int r1, i, totalIterations = ITERATIONS / NTHREADS; for (i = 0; i < totalIterations; i++){ random_r((struct random_data*)arg, &r1); } printf("%i\n", r1); } int main(int argc, char** argv) { struct random_data* rand_states = (struct random_data*)calloc(NTHREADS, sizeof(struct random_data)); char* rand_statebufs = (char*)calloc(NTHREADS, PRNG_BUFSZ); pthread_t* thread_ids; int t = 0; thread_ids = (pthread_t*)calloc(NTHREADS, sizeof(pthread_t)); /* create threads */ for (t = 0; t < NTHREADS; t++) { initstate_r(random(), &rand_statebufs[t], PRNG_BUFSZ, &rand_states[t]); pthread_create(&thread_ids[t], NULL, &thread_run, &rand_states[t]); } for (t = 0; t < NTHREADS; t++) { pthread_join(thread_ids[t], NULL); } free(thread_ids); free(rand_states); free(rand_statebufs); } I am confused why when generating random numbers the two threaded version performs much worse than the single threaded version, considering random_r is meant to be used in multi-threaded applications.

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  • What is the best approach in SQL to store multi-level descriptions?

    - by gime
    I need a new perspective on how to design a reliable and efficient SQL database to store multi-level arrays of data. This problem applies to many situations but I came up with this example: There are hundreds of products. Each product has an undefined number of parts. Each part is built from several elements. All products are described in the same way. All parts would require the same fields to describe them (let's say: price, weight, part name), all elements of all parts also have uniform design (for example: element code, manufacturer). Plain and simple. One element may be related to only part, and each part is related to one product only. I came up with idea of three tables: Products: -------------------------------------------- prod_id prod_name prod_price prod_desc 1 hoover 120 unused next Parts: ---------------------------------------------------- part_id part_name part_price part_weight prod_id 3 engine 10 20 1 and finally Elements: --------------------------------------- el_id el_code el_manufacturer part_id 1 BFG12 GE 3 Now, select a desired product, select all from PARTS where prod_id is the same, and then select all from ELEMENTS where part_id matches - after multiple queries you've got all data. I'm just not sure if this is the right approach. I've got also another idea, without ELEMENTS table. That would decrease queries but I'm a bit afraid it might be lame and bad practice. Instead of ELEMENTS table there are two more fields in the PARTS table, so it looks like this: part_id, part_name, part_price, part_weight, prod_id, part_el_code, part_el_manufacturer they would be text type, and for each part, information about elements would be stored as strings, this way: part_el_code | code_of_element1; code_of_element2; code_of_element3 part_el_manufacturer | manuf_of_element1; manuf_of_element2; manuf_of_element3 Then all we need is to explode() data from those fields, and we get arrays, easy to display. Of course this is not perfect and has some limitations, but is this idea ok? Or should I just go with the first idea? Or maybe there is a better approach to this problem? It's really hard to describe it in few words, and that means it's hard to search for answer. Also, understanding the principles of designing databases is not that easy as it seems.

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  • wireless LAN soft blocked on Ubuntu 13.10

    - by iacopo
    I've troubles with bluetooth and with lan. When I digit: rfkill list all 0: hci0: Bluetooth Soft blocked: no Hard blocked: no 1: phy0: Wireless LAN Soft blocked: yes Hard blocked: no When I digit: lspci -v 00:00.0 Host bridge: Advanced Micro Devices, Inc. [AMD] Family 15h (Models 10h-1fh) Processor Root Complex Subsystem: Advanced Micro Devices, Inc. [AMD] Family 15h (Models 10h-1fh) Processor Root Complex Flags: bus master, 66MHz, medium devsel, latency 0 00:01.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Trinity [Radeon HD 7600G] (prog-if 00 [VGA controller]) Subsystem: Advanced Micro Devices, Inc. [AMD/ATI] Trinity [Radeon HD 7600G] Flags: bus master, fast devsel, latency 0, IRQ 48 Memory at c0000000 (32-bit, prefetchable) [size=256M] I/O ports at f000 [size=256] Memory at feb00000 (32-bit, non-prefetchable) [size=256K] Expansion ROM at [disabled] Capabilities: Kernel driver in use: radeon 00:01.1 Audio device: Advanced Micro Devices, Inc. [AMD/ATI] Trinity HDMI Audio Controller Subsystem: Advanced Micro Devices, Inc. [AMD/ATI] Trinity HDMI Audio Controller Flags: bus master, fast devsel, latency 0, IRQ 49 Memory at feb44000 (32-bit, non-prefetchable) [size=16K] Capabilities: Kernel driver in use: snd_hda_intel 00:10.0 USB controller: Advanced Micro Devices, Inc. [AMD] FCH USB XHCI Controller (rev 03) (prog-if 30 [XHCI]) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH USB XHCI Controller Flags: bus master, fast devsel, latency 0, IRQ 18 Memory at feb48000 (64-bit, non-prefetchable) [size=8K] Capabilities: Kernel driver in use: xhci_hcd 00:11.0 SATA controller: Advanced Micro Devices, Inc. [AMD] FCH SATA Controller [AHCI mode] (rev 40) (prog-if 01 [AHCI 1.0]) Subsystem: Advanced Micro Devices, Inc. [AMD] Device 7800 Flags: bus master, 66MHz, medium devsel, latency 32, IRQ 45 I/O ports at f190 [size=8] I/O ports at f180 [size=4] I/O ports at f170 [size=8] I/O ports at f160 [size=4] I/O ports at f150 [size=16] Memory at feb50000 (32-bit, non-prefetchable) [size=2K] Capabilities: Kernel driver in use: ahci 00:12.0 USB controller: Advanced Micro Devices, Inc. [AMD] FCH USB OHCI Controller (rev 11) (prog-if 10 [OHCI]) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH USB OHCI Controller Flags: bus master, 66MHz, medium devsel, latency 32, IRQ 18 Memory at feb4f000 (32-bit, non-prefetchable) [size=4K] Kernel driver in use: ohci-pci 00:12.2 USB controller: Advanced Micro Devices, Inc. [AMD] FCH USB EHCI Controller (rev 11) (prog-if 20 [EHCI]) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH USB EHCI Controller Flags: bus master, 66MHz, medium devsel, latency 32, IRQ 17 Memory at feb4e000 (32-bit, non-prefetchable) [size=256] Capabilities: Kernel driver in use: ehci-pci 00:13.0 USB controller: Advanced Micro Devices, Inc. [AMD] FCH USB OHCI Controller (rev 11) (prog-if 10 [OHCI]) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH USB OHCI Controller Flags: bus master, 66MHz, medium devsel, latency 32, IRQ 18 Memory at feb4d000 (32-bit, non-prefetchable) [size=4K] Kernel driver in use: ohci-pci 00:13.2 USB controller: Advanced Micro Devices, Inc. [AMD] FCH USB EHCI Controller (rev 11) (prog-if 20 [EHCI]) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH USB EHCI Controller Flags: bus master, 66MHz, medium devsel, latency 32, IRQ 17 Memory at feb4c000 (32-bit, non-prefetchable) [size=256] Capabilities: Kernel driver in use: ehci-pci 00:14.0 SMBus: Advanced Micro Devices, Inc. [AMD] FCH SMBus Controller (rev 14) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH SMBus Controller Flags: 66MHz, medium devsel Kernel driver in use: piix4_smbus 00:14.1 IDE interface: Advanced Micro Devices, Inc. [AMD] FCH IDE Controller (prog-if 8a [Master SecP PriP]) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH IDE Controller Flags: bus master, 66MHz, medium devsel, latency 32, IRQ 17 I/O ports at 01f0 [size=8] I/O ports at 03f4 [size=1] I/O ports at 0170 [size=8] I/O ports at 0374 [size=1] I/O ports at f100 [size=16] Kernel driver in use: pata_atiixp 00:14.2 Audio device: Advanced Micro Devices, Inc. [AMD] FCH Azalia Controller (rev 01) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH Azalia Controller Flags: bus master, slow devsel, latency 32, IRQ 16 Memory at feb40000 (64-bit, non-prefetchable) [size=16K] Capabilities: Kernel driver in use: snd_hda_intel 00:14.3 ISA bridge: Advanced Micro Devices, Inc. [AMD] FCH LPC Bridge (rev 11) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH LPC Bridge Flags: bus master, 66MHz, medium devsel, latency 0 00:14.4 PCI bridge: Advanced Micro Devices, Inc. [AMD] FCH PCI Bridge (rev 40) (prog-if 01 [Subtractive decode]) Flags: bus master, 66MHz, medium devsel, latency 64 Bus: primary=00, secondary=01, subordinate=01, sec-latency=64 00:14.5 USB controller: Advanced Micro Devices, Inc. [AMD] FCH USB OHCI Controller (rev 11) (prog-if 10 [OHCI]) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH USB OHCI Controller Flags: bus master, 66MHz, medium devsel, latency 32, IRQ 18 Memory at feb4b000 (32-bit, non-prefetchable) [size=4K] Kernel driver in use: ohci-pci 00:14.7 SD Host controller: Advanced Micro Devices, Inc. [AMD] FCH SD Flash Controller (prog-if 01) Subsystem: Advanced Micro Devices, Inc. [AMD] FCH SD Flash Controller Flags: bus master, 66MHz, medium devsel, latency 39, IRQ 16 Memory at feb4a000 (64-bit, non-prefetchable) [size=256] Kernel driver in use: sdhci-pci 00:15.0 PCI bridge: Advanced Micro Devices, Inc. [AMD] Hudson PCI to PCI bridge (PCIE port 0) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=02, subordinate=02, sec-latency=0 I/O behind bridge: 0000e000-0000efff Prefetchable memory behind bridge: 00000000d0000000-00000000d00fffff Capabilities: Kernel driver in use: pcieport 00:15.1 PCI bridge: Advanced Micro Devices, Inc. [AMD] Hudson PCI to PCI bridge (PCIE port 1) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=03, subordinate=03, sec-latency=0 Memory behind bridge: fe900000-feafffff Capabilities: Kernel driver in use: pcieport 00:18.0 Host bridge: Advanced Micro Devices, Inc. [AMD] Family 15h (Models 10h-1fh) Processor Function 0 Flags: fast devsel 00:18.1 Host bridge: Advanced Micro Devices, Inc. [AMD] Family 15h (Models 10h-1fh) Processor Function 1 Flags: fast devsel 00:18.2 Host bridge: Advanced Micro Devices, Inc. [AMD] Family 15h (Models 10h-1fh) Processor Function 2 Flags: fast devsel 00:18.3 Host bridge: Advanced Micro Devices, Inc. [AMD] Family 15h (Models 10h-1fh) Processor Function 3 Flags: fast devsel Capabilities: Kernel driver in use: k10temp 00:18.4 Host bridge: Advanced Micro Devices, Inc. [AMD] Family 15h (Models 10h-1fh) Processor Function 4 Flags: fast devsel 00:18.5 Host bridge: Advanced Micro Devices, Inc. [AMD] Family 15h (Models 10h-1fh) Processor Function 5 Flags: fast devsel 02:00.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL8111/8168/8411 PCI Express Gigabit Ethernet Controller (rev 07) Subsystem: PC Partner Limited / Sapphire Technology Device 0123 Flags: bus master, fast devsel, latency 0, IRQ 46 I/O ports at e000 [size=256] Memory at d0004000 (64-bit, prefetchable) [size=4K] Memory at d0000000 (64-bit, prefetchable) [size=16K] Capabilities: Kernel driver in use: r8169 03:00.0 Network controller: Ralink corp. RT3290 Wireless 802.11n 1T/1R PCIe Subsystem: AzureWave Device 2b87 Flags: bus master, fast devsel, latency 0, IRQ 47 Memory at fea40000 (32-bit, non-prefetchable) [size=64K] Memory at fea30000 (32-bit, non-prefetchable) [size=64K] Capabilities: Kernel driver in use: rt2800pci 03:00.1 Bluetooth: Ralink corp. RT3290 Bluetooth Subsystem: AzureWave Device 2787 Flags: bus master, fast devsel, latency 0, IRQ 11 Memory at fea20000 (32-bit, non-prefetchable) [size=64K] Memory at fea10000 (32-bit, non-prefetchable) [size=64K] Memory at fe900000 (32-bit, non-prefetchable) [size=1M] Expansion ROM at fea00000 [disabled] [size=64K] Capabilities: Thank you for all the help

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  • Wireless networks are not detected at start up in Ubuntu 12.04

    - by Kanhaiya Mishra
    I have recently (three four days ago) installed Ubuntu 12.04 via windows installer i.e. wubi.exe. After the installation completed wireless and Ethernet were both working well. But after restart wireless networks didn't show up while in the network manager both networking and wireless were enabled. Though sometimes after boot it did show the networks available but very rarely. So I went through various posts regarding wireless issues in Ubuntu 12.04 and tried so many things but ended up in nothing satisfactory. I have Broadcom 4313 LAN network controller and brcmsmac driver. Then relying on some suggestions I tried to install bcm-wl driver but couldn't install due to some error in jockeyl.log file. Then i tried fresh installation of the same driver but still could resolve the startup issues with wireless. Then again I reinstalled Ubuntu inside windows using wubi installer. This time again same problem occurred after boot. But this time I successfully installed wl driver before disturbing file-system files of Ubuntu. But again the same issue. This time I noticed some new things: If I inserted Ethernet/LAN cable before startup then wireless networks are available and of course LAN(wired) networks also work. but if i don't plug in cable before startup and then plug it after startup then it didn't detect Ethernet network neither wireless. So I haven't noticed it before that LAN along with wifi also doesn't work after startup. But if i suspend the session and make it sleep and again login then it worked. I tried it every time that WLAN worked perfectly. But still i m unable to resolve that startup problem. Each time i boot first I have to suspend it once then only networks are available. It irritates me each time i reboot/boot my lappy. So please help out of this problem. Any ideas/help regarding this issue would be highly appreciated. Some of the commands that i run gave following results: # lspci 00:00.0 Host bridge: Intel Corporation Core Processor DRAM Controller (rev 12) 00:02.0 VGA compatible controller: Intel Corporation Core Processor Integrated Graphics Controller (rev 12) 00:16.0 Communication controller: Intel Corporation 5 Series/3400 Series Chipset HECI Controller (rev 06) 00:1a.0 USB controller: Intel Corporation 5 Series/3400 Series Chipset USB2 Enhanced Host Controller (rev 06) 00:1b.0 Audio device: Intel Corporation 5 Series/3400 Series Chipset High Definition Audio (rev 06) 00:1c.0 PCI bridge: Intel Corporation 5 Series/3400 Series Chipset PCI Express Root Port 1 (rev 06) 00:1c.1 PCI bridge: Intel Corporation 5 Series/3400 Series Chipset PCI Express Root Port 2 (rev 06) 00:1c.5 PCI bridge: Intel Corporation 5 Series/3400 Series Chipset PCI Express Root Port 6 (rev 06) 00:1d.0 USB controller: Intel Corporation 5 Series/3400 Series Chipset USB2 Enhanced Host Controller (rev 06) 00:1e.0 PCI bridge: Intel Corporation 82801 Mobile PCI Bridge (rev a6) 00:1f.0 ISA bridge: Intel Corporation Mobile 5 Series Chipset LPC Interface Controller (rev 06) 00:1f.2 SATA controller: Intel Corporation 5 Series/3400 Series Chipset 6 port SATA AHCI Controller (rev 06) 00:1f.3 SMBus: Intel Corporation 5 Series/3400 Series Chipset SMBus Controller (rev 06) 00:1f.6 Signal processing controller: Intel Corporation 5 Series/3400 Series Chipset Thermal Subsystem (rev 06) 03:00.0 Network controller: Broadcom Corporation BCM4313 802.11b/g/n Wireless LAN Controller (rev 01) 04:00.0 Ethernet controller: Atheros Communications Inc. AR8152 v1.1 Fast Ethernet (rev c1) ff:00.0 Host bridge: Intel Corporation Core Processor QuickPath Architecture Generic Non-core Registers (rev 02) ff:00.1 Host bridge: Intel Corporation Core Processor QuickPath Architecture System Address Decoder (rev 02) ff:02.0 Host bridge: Intel Corporation Core Processor QPI Link 0 (rev 02) ff:02.1 Host bridge: Intel Corporation Core Processor QPI Physical 0 (rev 02) ff:02.2 Host bridge: Intel Corporation Core Processor Reserved (rev 02) ff:02.3 Host bridge: Intel Corporation Core Processor Reserved (rev 02) # sudo lshw -C network *-network description: Wireless interface product: BCM4313 802.11b/g/n Wireless LAN Controller vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:03:00.0 logical name: eth1 version: 01 serial: 70:f1:a1:49:b6:ab width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list ethernet physical wireless configuration: broadcast=yes driver=wl0 driverversion=5.100.82.38 ip=192.168.1.7 latency=0 multicast=yes wireless=IEEE 802.11 resources: irq:17 memory:f0500000-f0503fff *-network description: Ethernet interface product: AR8152 v1.1 Fast Ethernet vendor: Atheros Communications Inc. physical id: 0 bus info: pci@0000:04:00.0 logical name: eth0 version: c1 serial: b8:ac:6f:6b:f7:4a capacity: 100Mbit/s width: 64 bits clock: 33MHz capabilities: pm msi pciexpress vpd bus_master cap_list ethernet physical tp 10bt 10bt-fd 100bt 100bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=atl1c driverversion=1.0.1.0-NAPI firmware=N/A latency=0 link=no multicast=yes port=twisted pair resources: irq:44 memory:f0400000-f043ffff ioport:2000(size=128) # lsmod | grep wl wl 2568210 0 lib80211 14381 2 lib80211_crypt_tkip,wl # sudo iwlist eth1 scanning eth1 Scan completed : Cell 01 - Address: 30:46:9A:85:DA:9A ESSID:"BH DASHIR 2" Mode:Managed Frequency:2.462 GHz (Channel 11) Quality:4/5 Signal level:-60 dBm Noise level:-98 dBm IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : CCMP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK IE: Unknown: DD7F0050F204104A00011010440001021041000100103B000103104700109AFE7D908F8E2D381860668BA2E8D8771021000D4E4554474541522C20496E632E10230009574752363134763130102400095747523631347631301042000538333235381054000800060050F204000110110009574752363134763130100800020084 Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 11 Mb/s; 18 Mb/s 24 Mb/s; 36 Mb/s; 54 Mb/s; 6 Mb/s; 9 Mb/s 12 Mb/s; 48 Mb/s Cell 02 - Address: C0:3F:0E:EB:45:14 ESSID:"BH DASHIR 3" Mode:Managed Frequency:2.462 GHz (Channel 11) Quality:2/5 Signal level:-71 dBm Noise level:-98 dBm IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : CCMP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK IE: Unknown: DD7F0050F204104A00011010440001021041000100103B00010310470010F3C9BBE499D140540F530E7EBEDE2F671021000D4E4554474541522C20496E632E10230009574752363134763130102400095747523631347631301042000538333235381054000800060050F204000110110009574752363134763130100800020084 Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 11 Mb/s; 18 Mb/s 24 Mb/s; 36 Mb/s; 54 Mb/s; 6 Mb/s; 9 Mb/s 12 Mb/s; 48 Mb/s Cell 03 - Address: A0:21:B7:A8:2F:C0 ESSID:"BH DASHIR 4" Mode:Managed Frequency:2.422 GHz (Channel 3) Quality:1/5 Signal level:-86 dBm Noise level:-98 dBm IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : CCMP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK IE: Unknown: DD8B0050F204104A0001101044000102103B0001031047001000000000000010000000A021B7A82FC01021000D4E6574676561722C20496E632E10230009574E523130303076321024000456324831104200046E6F6E651054000800060050F20400011011001B574E5231303030763228576972656C6573732041502D322E344729100800020086103C000103 Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 11 Mb/s; 6 Mb/s 9 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s

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  • C#/.NET Little Wonders: The Concurrent Collections (1 of 3)

    - by James Michael Hare
    Once again we consider some of the lesser known classes and keywords of C#.  In the next few weeks, we will discuss the concurrent collections and how they have changed the face of concurrent programming. This week’s post will begin with a general introduction and discuss the ConcurrentStack<T> and ConcurrentQueue<T>.  Then in the following post we’ll discuss the ConcurrentDictionary<T> and ConcurrentBag<T>.  Finally, we shall close on the third post with a discussion of the BlockingCollection<T>. For more of the "Little Wonders" posts, see the index here. A brief history of collections In the beginning was the .NET 1.0 Framework.  And out of this framework emerged the System.Collections namespace, and it was good.  It contained all the basic things a growing programming language needs like the ArrayList and Hashtable collections.  The main problem, of course, with these original collections is that they held items of type object which means you had to be disciplined enough to use them correctly or you could end up with runtime errors if you got an object of a type you weren't expecting. Then came .NET 2.0 and generics and our world changed forever!  With generics the C# language finally got an equivalent of the very powerful C++ templates.  As such, the System.Collections.Generic was born and we got type-safe versions of all are favorite collections.  The List<T> succeeded the ArrayList and the Dictionary<TKey,TValue> succeeded the Hashtable and so on.  The new versions of the library were not only safer because they checked types at compile-time, in many cases they were more performant as well.  So much so that it's Microsoft's recommendation that the System.Collections original collections only be used for backwards compatibility. So we as developers came to know and love the generic collections and took them into our hearts and embraced them.  The problem is, thread safety in both the original collections and the generic collections can be problematic, for very different reasons. Now, if you are only doing single-threaded development you may not care – after all, no locking is required.  Even if you do have multiple threads, if a collection is “load-once, read-many” you don’t need to do anything to protect that container from multi-threaded access, as illustrated below: 1: public static class OrderTypeTranslator 2: { 3: // because this dictionary is loaded once before it is ever accessed, we don't need to synchronize 4: // multi-threaded read access 5: private static readonly Dictionary<string, char> _translator = new Dictionary<string, char> 6: { 7: {"New", 'N'}, 8: {"Update", 'U'}, 9: {"Cancel", 'X'} 10: }; 11:  12: // the only public interface into the dictionary is for reading, so inherently thread-safe 13: public static char? Translate(string orderType) 14: { 15: char charValue; 16: if (_translator.TryGetValue(orderType, out charValue)) 17: { 18: return charValue; 19: } 20:  21: return null; 22: } 23: } Unfortunately, most of our computer science problems cannot get by with just single-threaded applications or with multi-threading in a load-once manner.  Looking at  today's trends, it's clear to see that computers are not so much getting faster because of faster processor speeds -- we've nearly reached the limits we can push through with today's technologies -- but more because we're adding more cores to the boxes.  With this new hardware paradigm, it is even more important to use multi-threaded applications to take full advantage of parallel processing to achieve higher application speeds. So let's look at how to use collections in a thread-safe manner. Using historical collections in a concurrent fashion The early .NET collections (System.Collections) had a Synchronized() static method that could be used to wrap the early collections to make them completely thread-safe.  This paradigm was dropped in the generic collections (System.Collections.Generic) because having a synchronized wrapper resulted in atomic locks for all operations, which could prove overkill in many multithreading situations.  Thus the paradigm shifted to having the user of the collection specify their own locking, usually with an external object: 1: public class OrderAggregator 2: { 3: private static readonly Dictionary<string, List<Order>> _orders = new Dictionary<string, List<Order>>(); 4: private static readonly _orderLock = new object(); 5:  6: public void Add(string accountNumber, Order newOrder) 7: { 8: List<Order> ordersForAccount; 9:  10: // a complex operation like this should all be protected 11: lock (_orderLock) 12: { 13: if (!_orders.TryGetValue(accountNumber, out ordersForAccount)) 14: { 15: _orders.Add(accountNumber, ordersForAccount = new List<Order>()); 16: } 17:  18: ordersForAccount.Add(newOrder); 19: } 20: } 21: } Notice how we’re performing several operations on the dictionary under one lock.  With the Synchronized() static methods of the early collections, you wouldn’t be able to specify this level of locking (a more macro-level).  So in the generic collections, it was decided that if a user needed synchronization, they could implement their own locking scheme instead so that they could provide synchronization as needed. The need for better concurrent access to collections Here’s the problem: it’s relatively easy to write a collection that locks itself down completely for access, but anything more complex than that can be difficult and error-prone to write, and much less to make it perform efficiently!  For example, what if you have a Dictionary that has frequent reads but in-frequent updates?  Do you want to lock down the entire Dictionary for every access?  This would be overkill and would prevent concurrent reads.  In such cases you could use something like a ReaderWriterLockSlim which allows for multiple readers in a lock, and then once a writer grabs the lock it blocks all further readers until the writer is done (in a nutshell).  This is all very complex stuff to consider. Fortunately, this is where the Concurrent Collections come in.  The Parallel Computing Platform team at Microsoft went through great pains to determine how to make a set of concurrent collections that would have the best performance characteristics for general case multi-threaded use. Now, as in all things involving threading, you should always make sure you evaluate all your container options based on the particular usage scenario and the degree of parallelism you wish to acheive. This article should not be taken to understand that these collections are always supperior to the generic collections. Each fills a particular need for a particular situation. Understanding what each container is optimized for is key to the success of your application whether it be single-threaded or multi-threaded. General points to consider with the concurrent collections The MSDN points out that the concurrent collections all support the ICollection interface. However, since the collections are already synchronized, the IsSynchronized property always returns false, and SyncRoot always returns null.  Thus you should not attempt to use these properties for synchronization purposes. Note that since the concurrent collections also may have different operations than the traditional data structures you may be used to.  Now you may ask why they did this, but it was done out of necessity to keep operations safe and atomic.  For example, in order to do a Pop() on a stack you have to know the stack is non-empty, but between the time you check the stack’s IsEmpty property and then do the Pop() another thread may have come in and made the stack empty!  This is why some of the traditional operations have been changed to make them safe for concurrent use. In addition, some properties and methods in the concurrent collections achieve concurrency by creating a snapshot of the collection, which means that some operations that were traditionally O(1) may now be O(n) in the concurrent models.  I’ll try to point these out as we talk about each collection so you can be aware of any potential performance impacts.  Finally, all the concurrent containers are safe for enumeration even while being modified, but some of the containers support this in different ways (snapshot vs. dirty iteration).  Once again I’ll highlight how thread-safe enumeration works for each collection. ConcurrentStack<T>: The thread-safe LIFO container The ConcurrentStack<T> is the thread-safe counterpart to the System.Collections.Generic.Stack<T>, which as you may remember is your standard last-in-first-out container.  If you think of algorithms that favor stack usage (for example, depth-first searches of graphs and trees) then you can see how using a thread-safe stack would be of benefit. The ConcurrentStack<T> achieves thread-safe access by using System.Threading.Interlocked operations.  This means that the multi-threaded access to the stack requires no traditional locking and is very, very fast! For the most part, the ConcurrentStack<T> behaves like it’s Stack<T> counterpart with a few differences: Pop() was removed in favor of TryPop() Returns true if an item existed and was popped and false if empty. PushRange() and TryPopRange() were added Allows you to push multiple items and pop multiple items atomically. Count takes a snapshot of the stack and then counts the items. This means it is a O(n) operation, if you just want to check for an empty stack, call IsEmpty instead which is O(1). ToArray() and GetEnumerator() both also take snapshots. This means that iteration over a stack will give you a static view at the time of the call and will not reflect updates. Pushing on a ConcurrentStack<T> works just like you’d expect except for the aforementioned PushRange() method that was added to allow you to push a range of items concurrently. 1: var stack = new ConcurrentStack<string>(); 2:  3: // adding to stack is much the same as before 4: stack.Push("First"); 5:  6: // but you can also push multiple items in one atomic operation (no interleaves) 7: stack.PushRange(new [] { "Second", "Third", "Fourth" }); For looking at the top item of the stack (without removing it) the Peek() method has been removed in favor of a TryPeek().  This is because in order to do a peek the stack must be non-empty, but between the time you check for empty and the time you execute the peek the stack contents may have changed.  Thus the TryPeek() was created to be an atomic check for empty, and then peek if not empty: 1: // to look at top item of stack without removing it, can use TryPeek. 2: // Note that there is no Peek(), this is because you need to check for empty first. TryPeek does. 3: string item; 4: if (stack.TryPeek(out item)) 5: { 6: Console.WriteLine("Top item was " + item); 7: } 8: else 9: { 10: Console.WriteLine("Stack was empty."); 11: } Finally, to remove items from the stack, we have the TryPop() for single, and TryPopRange() for multiple items.  Just like the TryPeek(), these operations replace Pop() since we need to ensure atomically that the stack is non-empty before we pop from it: 1: // to remove items, use TryPop or TryPopRange to get multiple items atomically (no interleaves) 2: if (stack.TryPop(out item)) 3: { 4: Console.WriteLine("Popped " + item); 5: } 6:  7: // TryPopRange will only pop up to the number of spaces in the array, the actual number popped is returned. 8: var poppedItems = new string[2]; 9: int numPopped = stack.TryPopRange(poppedItems); 10:  11: foreach (var theItem in poppedItems.Take(numPopped)) 12: { 13: Console.WriteLine("Popped " + theItem); 14: } Finally, note that as stated before, GetEnumerator() and ToArray() gets a snapshot of the data at the time of the call.  That means if you are enumerating the stack you will get a snapshot of the stack at the time of the call.  This is illustrated below: 1: var stack = new ConcurrentStack<string>(); 2:  3: // adding to stack is much the same as before 4: stack.Push("First"); 5:  6: var results = stack.GetEnumerator(); 7:  8: // but you can also push multiple items in one atomic operation (no interleaves) 9: stack.PushRange(new [] { "Second", "Third", "Fourth" }); 10:  11: while(results.MoveNext()) 12: { 13: Console.WriteLine("Stack only has: " + results.Current); 14: } The only item that will be printed out in the above code is "First" because the snapshot was taken before the other items were added. This may sound like an issue, but it’s really for safety and is more correct.  You don’t want to enumerate a stack and have half a view of the stack before an update and half a view of the stack after an update, after all.  In addition, note that this is still thread-safe, whereas iterating through a non-concurrent collection while updating it in the old collections would cause an exception. ConcurrentQueue<T>: The thread-safe FIFO container The ConcurrentQueue<T> is the thread-safe counterpart of the System.Collections.Generic.Queue<T> class.  The concurrent queue uses an underlying list of small arrays and lock-free System.Threading.Interlocked operations on the head and tail arrays.  Once again, this allows us to do thread-safe operations without the need for heavy locks! The ConcurrentQueue<T> (like the ConcurrentStack<T>) has some departures from the non-concurrent counterpart.  Most notably: Dequeue() was removed in favor of TryDequeue(). Returns true if an item existed and was dequeued and false if empty. Count does not take a snapshot It subtracts the head and tail index to get the count.  This results overall in a O(1) complexity which is quite good.  It’s still recommended, however, that for empty checks you call IsEmpty instead of comparing Count to zero. ToArray() and GetEnumerator() both take snapshots. This means that iteration over a queue will give you a static view at the time of the call and will not reflect updates. The Enqueue() method on the ConcurrentQueue<T> works much the same as the generic Queue<T>: 1: var queue = new ConcurrentQueue<string>(); 2:  3: // adding to queue is much the same as before 4: queue.Enqueue("First"); 5: queue.Enqueue("Second"); 6: queue.Enqueue("Third"); For front item access, the TryPeek() method must be used to attempt to see the first item if the queue.  There is no Peek() method since, as you’ll remember, we can only peek on a non-empty queue, so we must have an atomic TryPeek() that checks for empty and then returns the first item if the queue is non-empty. 1: // to look at first item in queue without removing it, can use TryPeek. 2: // Note that there is no Peek(), this is because you need to check for empty first. TryPeek does. 3: string item; 4: if (queue.TryPeek(out item)) 5: { 6: Console.WriteLine("First item was " + item); 7: } 8: else 9: { 10: Console.WriteLine("Queue was empty."); 11: } Then, to remove items you use TryDequeue().  Once again this is for the same reason we have TryPeek() and not Peek(): 1: // to remove items, use TryDequeue. If queue is empty returns false. 2: if (queue.TryDequeue(out item)) 3: { 4: Console.WriteLine("Dequeued first item " + item); 5: } Just like the concurrent stack, the ConcurrentQueue<T> takes a snapshot when you call ToArray() or GetEnumerator() which means that subsequent updates to the queue will not be seen when you iterate over the results.  Thus once again the code below will only show the first item, since the other items were added after the snapshot. 1: var queue = new ConcurrentQueue<string>(); 2:  3: // adding to queue is much the same as before 4: queue.Enqueue("First"); 5:  6: var iterator = queue.GetEnumerator(); 7:  8: queue.Enqueue("Second"); 9: queue.Enqueue("Third"); 10:  11: // only shows First 12: while (iterator.MoveNext()) 13: { 14: Console.WriteLine("Dequeued item " + iterator.Current); 15: } Using collections concurrently You’ll notice in the examples above I stuck to using single-threaded examples so as to make them deterministic and the results obvious.  Of course, if we used these collections in a truly multi-threaded way the results would be less deterministic, but would still be thread-safe and with no locking on your part required! For example, say you have an order processor that takes an IEnumerable<Order> and handles each other in a multi-threaded fashion, then groups the responses together in a concurrent collection for aggregation.  This can be done easily with the TPL’s Parallel.ForEach(): 1: public static IEnumerable<OrderResult> ProcessOrders(IEnumerable<Order> orderList) 2: { 3: var proxy = new OrderProxy(); 4: var results = new ConcurrentQueue<OrderResult>(); 5:  6: // notice that we can process all these in parallel and put the results 7: // into our concurrent collection without needing any external locking! 8: Parallel.ForEach(orderList, 9: order => 10: { 11: var result = proxy.PlaceOrder(order); 12:  13: results.Enqueue(result); 14: }); 15:  16: return results; 17: } Summary Obviously, if you do not need multi-threaded safety, you don’t need to use these collections, but when you do need multi-threaded collections these are just the ticket! The plethora of features (I always think of the movie The Three Amigos when I say plethora) built into these containers and the amazing way they acheive thread-safe access in an efficient manner is wonderful to behold. Stay tuned next week where we’ll continue our discussion with the ConcurrentBag<T> and the ConcurrentDictionary<TKey,TValue>. For some excellent information on the performance of the concurrent collections and how they perform compared to a traditional brute-force locking strategy, see this wonderful whitepaper by the Microsoft Parallel Computing Platform team here.   Tweet Technorati Tags: C#,.NET,Concurrent Collections,Collections,Multi-Threading,Little Wonders,BlackRabbitCoder,James Michael Hare

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  • Resque Runtime Error at /workers: wrong number of arguments for 'exists' command

    - by Superflux
    I'm having a runtime errror when i'm looking at the "workers" tab on resque-web (localhost). Everything else works. Edit: when this error occurs, i also have some (3 or 4) unknown workers 'not working'. I think they are responsible for the error but i don't understand how they got here Can you help me on this ? Did i do something wrong ? Config: Resque 1.8.5 as a gem in a rails 2.3.8 app on Snow Leopard redis 1.0.7 / rack 1.1 / sinatra 1.0 / vegas 0.1.7 file: client.rb location: format_error_reply line: 558 BACKTRACE: * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in format_error_reply * 551. when DOLLAR then format_bulk_reply(line) 552. when ASTERISK then format_multi_bulk_reply(line) 553. else raise ProtocolError.new(reply_type) 554. end 555. end 556. 557. def format_error_reply(line) 558. raise "-" + line.strip 559. end 560. 561. def format_status_reply(line) 562. line.strip 563. end 564. 565. def format_integer_reply(line) * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in format_reply * 541. 542. def reconnect 543. disconnect && connect_to_server 544. end 545. 546. def format_reply(reply_type, line) 547. case reply_type 548. when MINUS then format_error_reply(line) 549. when PLUS then format_status_reply(line) 550. when COLON then format_integer_reply(line) 551. when DOLLAR then format_bulk_reply(line) 552. when ASTERISK then format_multi_bulk_reply(line) 553. else raise ProtocolError.new(reply_type) 554. end 555. end * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in read_reply * 478. disconnect 479. 480. raise Errno::EAGAIN, "Timeout reading from the socket" 481. end 482. 483. raise Errno::ECONNRESET, "Connection lost" unless reply_type 484. 485. format_reply(reply_type, @sock.gets) 486. end 487. 488. 489. if "".respond_to?(:bytesize) 490. def get_size(string) 491. string.bytesize 492. end * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in process_command * 448. return pipeline ? results : results[0] 449. end 450. 451. def process_command(command, argvv) 452. @sock.write(command) 453. argvv.map do |argv| 454. processor = REPLY_PROCESSOR[argv[0].to_s] 455. processor ? processor.call(read_reply) : read_reply 456. end 457. end 458. 459. def maybe_lock(&block) 460. if @thread_safe 461. @mutex.synchronize(&block) 462. else * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in map * 446. end 447. 448. return pipeline ? results : results[0] 449. end 450. 451. def process_command(command, argvv) 452. @sock.write(command) 453. argvv.map do |argv| 454. processor = REPLY_PROCESSOR[argv[0].to_s] 455. processor ? processor.call(read_reply) : read_reply 456. end 457. end 458. 459. def maybe_lock(&block) 460. if @thread_safe * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in process_command * 446. end 447. 448. return pipeline ? results : results[0] 449. end 450. 451. def process_command(command, argvv) 452. @sock.write(command) 453. argvv.map do |argv| 454. processor = REPLY_PROCESSOR[argv[0].to_s] 455. processor ? processor.call(read_reply) : read_reply 456. end 457. end 458. 459. def maybe_lock(&block) 460. if @thread_safe * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in raw_call_command * 435. @sock.write(command) 436. return true 437. end 438. # The normal command execution is reading and processing the reply. 439. results = maybe_lock do 440. begin 441. set_socket_timeout!(0) if requires_timeout_reset?(argvv[0][0].to_s) 442. process_command(command, argvv) 443. ensure 444. set_socket_timeout!(@timeout) if requires_timeout_reset?(argvv[0][0].to_s) 445. end 446. end 447. 448. return pipeline ? results : results[0] 449. end * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in synchronize * 454. processor = REPLY_PROCESSOR[argv[0].to_s] 455. processor ? processor.call(read_reply) : read_reply 456. end 457. end 458. 459. def maybe_lock(&block) 460. if @thread_safe 461. @mutex.synchronize(&block) 462. else 463. block.call 464. end 465. end 466. 467. def read_reply 468. * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in maybe_lock * 454. processor = REPLY_PROCESSOR[argv[0].to_s] 455. processor ? processor.call(read_reply) : read_reply 456. end 457. end 458. 459. def maybe_lock(&block) 460. if @thread_safe 461. @mutex.synchronize(&block) 462. else 463. block.call 464. end 465. end 466. 467. def read_reply 468. * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in raw_call_command * 432. end 433. # When in Pub/Sub mode we don't read replies synchronously. 434. if @pubsub 435. @sock.write(command) 436. return true 437. end 438. # The normal command execution is reading and processing the reply. 439. results = maybe_lock do 440. begin 441. set_socket_timeout!(0) if requires_timeout_reset?(argvv[0][0].to_s) 442. process_command(command, argvv) 443. ensure 444. set_socket_timeout!(@timeout) if requires_timeout_reset?(argvv[0][0].to_s) 445. end 446. end * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in call_command * 336. # try to reconnect just one time, otherwise let the error araise. 337. def call_command(argv) 338. log(argv.inspect, :debug) 339. 340. connect_to_server unless connected? 341. 342. begin 343. raw_call_command(argv.dup) 344. rescue Errno::ECONNRESET, Errno::EPIPE, Errno::ECONNABORTED 345. if reconnect 346. raw_call_command(argv.dup) 347. else 348. raise Errno::ECONNRESET 349. end 350. end * /Library/Ruby/Gems/1.8/gems/redis-1.0.7/lib/redis/client.rb in method_missing * 385. connect_to(@host, @port) 386. call_command([:auth, @password]) if @password 387. call_command([:select, @db]) if @db != 0 388. @sock 389. end 390. 391. def method_missing(*argv) 392. call_command(argv) 393. end 394. 395. def raw_call_command(argvp) 396. if argvp[0].is_a?(Array) 397. argvv = argvp 398. pipeline = true 399. else * /Library/Ruby/Gems/1.8/gems/redis-namespace-0.4.4/lib/redis/namespace.rb in send * 159. args = add_namespace(args) 160. args.push(last) if last 161. when :alternate 162. args = [ add_namespace(Hash[*args]) ] 163. end 164. 165. # Dispatch the command to Redis and store the result. 166. result = @redis.send(command, *args, &block) 167. 168. # Remove the namespace from results that are keys. 169. result = rem_namespace(result) if after == :all 170. 171. result 172. end 173. * /Library/Ruby/Gems/1.8/gems/redis-namespace-0.4.4/lib/redis/namespace.rb in method_missing * 159. args = add_namespace(args) 160. args.push(last) if last 161. when :alternate 162. args = [ add_namespace(Hash[*args]) ] 163. end 164. 165. # Dispatch the command to Redis and store the result. 166. result = @redis.send(command, *args, &block) 167. 168. # Remove the namespace from results that are keys. 169. result = rem_namespace(result) if after == :all 170. 171. result 172. end 173. * /Library/Ruby/Gems/1.8/gems/resque-1.8.5/lib/resque/worker.rb in state * 416. def idle? 417. state == :idle 418. end 419. 420. # Returns a symbol representing the current worker state, 421. # which can be either :working or :idle 422. def state 423. redis.exists("worker:#{self}") ? :working : :idle 424. end 425. 426. # Is this worker the same as another worker? 427. def ==(other) 428. to_s == other.to_s 429. end 430. * /Library/Ruby/Gems/1.8/gems/resque-1.8.5/lib/resque/server/views/workers.erb in __tilt_a2112543c5200dbe0635da5124b47311 * 46. <tr> 47. <th>&nbsp;</th> 48. <th>Where</th> 49. <th>Queues</th> 50. <th>Processing</th> 51. </tr> 52. <% for worker in (workers = resque.workers.sort_by { |w| w.to_s }) %> 53. <tr class="<%=state = worker.state%>"> 54. <td class='icon'><img src="<%=u state %>.png" alt="<%= state %>" title="<%= state %>"></td> 55. 56. <% host, pid, queues = worker.to_s.split(':') %> 57. <td class='where'><a href="<%=u "workers/#{worker}"%>"><%= host %>:<%= pid %></a></td> 58. <td class='queues'><%= queues.split(',').map { |q| '<a class="queue-tag" href="' + u("/queues/#{q}") + '">' + q + '</a>'}.join('') %></td> 59. 60. <td class='process'> * /Library/Ruby/Gems/1.8/gems/resque-1.8.5/lib/resque/server/views/workers.erb in each * /Library/Ruby/Gems/1.8/gems/resque-1.8.5/lib/resque/server/views/workers.erb in __tilt_a2112543c5200dbe0635da5124b47311 * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/tilt.rb in send * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/tilt.rb in evaluate * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/tilt.rb in render * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in render * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in erb * /Library/Ruby/Gems/1.8/gems/resque-1.8.5/lib/resque/server.rb in show * /Library/Ruby/Gems/1.8/gems/resque-1.8.5/lib/resque/server.rb in GET /workers * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in call * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in route * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in instance_eval * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in route_eval * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in route! * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in catch * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in route! * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in each * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in route! * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in dispatch! * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in call! * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in instance_eval * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in invoke * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in catch * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in invoke * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in call! * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in call * /Volumes/Donnees/Users/**/.gem/ruby/1.8/gems/rack-1.1.0/lib/rack/showexceptions.rb in call * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in call * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in synchronize * /Library/Ruby/Gems/1.8/gems/sinatra-1.0/lib/sinatra/base.rb in call * /Volumes/Donnees/Users/**/.gem/ruby/1.8/gems/rack-1.1.0/lib/rack/content_length.rb in call * /Volumes/Donnees/Users/**/.gem/ruby/1.8/gems/rack-1.1.0/lib/rack/chunked.rb in call * /Volumes/Donnees/Users/**/.gem/ruby/1.8/gems/rack-1.1.0/lib/rack/handler/mongrel.rb in process * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in process_client * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in each * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in process_client * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in run * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in initialize * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in new * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in run * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in initialize * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in new * /System/Library/Frameworks/Ruby.framework/Versions/1.8/usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb in run * /Volumes/Donnees/Users/**/.gem/ruby/1.8/gems/rack-1.1.0/lib/rack/handler/mongrel.rb in run * /Library/Ruby/Gems/1.8/gems/vegas-0.1.7/lib/vegas/runner.rb in run! * /Library/Ruby/Gems/1.8/gems/vegas-0.1.7/lib/vegas/runner.rb in start * /Library/Ruby/Gems/1.8/gems/resque-1.8.5/bin/resque-web in new * /Library/Ruby/Gems/1.8/gems/resque-1.8.5/bin/resque-web in nil * /usr/bin/resque-web in load

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  • Configure PERL DBI and DBD in Linux

    - by Balualways
    I am new to Perl and I work in a Linux OEL 5x server. I am trying to configure the Perl DB modules for Oracle connectivity (DBD and DBI modules). Can anyone help me out in the installation procedure? I had tried CPAN didn't really worked out. Any help would be appreciated. I am not quite sure I need to initialize any variables other than $LD_LIBRARY_PATH and $ORACLE_HOME These are my observations: ISSUE:: I am getting the following issue while using the DBI module to connect to Oracle: install_driver(Oracle) failed: Can't locate loadable object for module DBD::Oracle in @INC (@INC contains: /usr/lib64/perl5/site_perl/5.8.8/x86_64-linux-thread-multi /usr/lib/perl5/site_perl/5.8.8 /usr/lib/perl5/site_perl /usr/lib64/perl5/vendor_perl/5.8.8/x86_64-linux-thread-multi /usr/lib/perl5/vendor_perl/5.8.8 /usr/lib/perl5/vendor_perl /usr/lib64/perl5/5.8.8/x86_64-linux-thread-multi /usr/lib/perl5/5.8.8 .) at (eval 3) line 3 Compilation failed in require at (eval 3) line 3. Perhaps a module that DBD::Oracle requires hasn't been fully installed at connectdb.pl line 57 I had installed the DBD for oracle from /usr/lib64/perl5/5.8.8/x86_64-linux-thread-multi/DBD/DBD-Oracle-1.50 Could you please take a look into the steps and correct me if I am wrong: Observations: $ echo $LD_LIBRARY_PATH /opt/CA/UnicenterAutoSysJM/autosys/lib:/opt/CA/SharedComponents/Csam/SockAdapter/lib:/opt/CA/SharedComponents/ETPKI/lib:/opt/CA/CAlib $ echo $ORACLE_HOME /usr/local/oracle/ORA This is how I tried to install the DBD module: Download the file DBD 1.50 for Oracle Copy to /usr/lib64/perl5/5.8.8/x86_64-linux-thread-multi/DBD Untar and Makefile.PL . Message: Using DBI 1.52 (for perl 5.008008 on x86_64-linux-thread-multi) installed in /usr/lib64/perl5/vendor_perl/5.8.8/x86_64-linux-thread-multi/auto/DBI/ Configuring DBD::Oracle for perl 5.008008 on linux (x86_64-linux-thread-multi) Remember to actually *READ* the README file! Especially if you have any problems. Installing on a linux, Ver#2.6 Using Oracle in /opt/oracle/product/10.2 DEFINE _SQLPLUS_RELEASE = "1002000400" (CHAR) Oracle version 10.2.0.4 (10.2) Found /opt/oracle/product/10.2/rdbms/demo/demo_rdbms.mk Found /opt/oracle/product/10.2/rdbms/demo/demo_rdbms64.mk Found /opt/oracle/product/10.2/rdbms/lib/ins_rdbms.mk Using /opt/oracle/product/10.2/rdbms/demo/demo_rdbms.mk Your LD_LIBRARY_PATH env var is set to '/usr/local/oracle/ORA/lib:/usr/dt/lib:/usr/openwin/lib:/usr/local/oracle/ORA/ows/cartx/wodbc/1.0/util/lib:/usr/local/oracle/ORA/lib:/usr/local/sybase/OCS-12_0/lib:/usr/local/sybase/lib:/home/oracle/jdbc/jdbcoci73/lib:./' WARNING: Your LD_LIBRARY_PATH env var doesn't include '/opt/oracle/product/10.2/lib' but probably needs to. Reading /opt/oracle/product/10.2/rdbms/demo/demo_rdbms.mk Reading /usr/local/oracle/ORA/rdbms/lib/env_rdbms.mk Attempting to discover Oracle OCI build rules sh: make: command not found by executing: [make -f /opt/oracle/product/10.2/rdbms/demo/demo_rdbms.mk build ECHODO=echo ECHO=echo GENCLNTSH='echo genclntsh' CC=true OPTIMIZE= CCFLAGS= EXE=DBD_ORA_EXE OBJS=DBD_ORA_OBJ.o] WARNING: Oracle build rule discovery failed (32512) Add path to make command into your PATH environment variable. Oracle oci build prolog: [sh: make: command not found] Oracle oci build command: [] WARNING: Unable to interpret Oracle build commands from /opt/oracle/product/10.2/rdbms/demo/demo_rdbms.mk. (Will continue by using fallback approach.) Please report this to [email protected]. See README for what to include. Found header files in /opt/oracle/product/10.2/rdbms/public. client_version=10.2 DEFINE= -Wall -Wno-comment -DUTF8_SUPPORT -DORA_OCI_VERSION=\"10.2.0.4\" -DORA_OCI_102 Checking for functioning wait.ph System: perl5.008008 linux ca-build9.us.oracle.com 2.6.20-1.3002.fc6xen #1 smp thu apr 30 18:08:39 pdt 2009 x86_64 x86_64 x86_64 gnulinux Compiler: gcc -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_REENTRANT -D_GNU_SOURCE -fno-strict-aliasing -pipe -Wdeclaration-after-statement -I/usr/local/include -D_LARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64 -I/usr/include/gdbm Linker: not found Sysliblist: -ldl -lm -lpthread -lnsl -lirc Oracle makefiles would have used these definitions but we override them: CC: cc CFLAGS: $(GFLAG) $(OPTIMIZE) $(CDEBUG) $(CCFLAGS) $(PFLAGS)\ $(SHARED_CFLAG) $(USRFLAGS) [$(GFLAG) -O3 $(CDEBUG) -m32 $(TRIGRAPHS_CCFLAGS) -fPIC -I/usr/local/oracle/ORA/rdbms/demo -I/usr/local/oracle/ORA/rdbms/public -I/usr/local/oracle/ORA/plsql/public -I/usr/local/oracle/ORA/network/public -DLINUX -D_GNU_SOURCE -D_LARGEFILE64_SOURCE=1 -D_LARGEFILE_SOURCE=1 -DSLTS_ENABLE -DSLMXMX_ENABLE -D_REENTRANT -DNS_THREADS -fno-strict-aliasing $(LPFLAGS) $(USRFLAGS)] build: $(CC) $(ORALIBPATH) -o $(EXE) $(OBJS) $(OCISHAREDLIBS) [ cc -L$(LIBHOME) -L/usr/local/oracle/ORA/rdbms/lib/ -o $(EXE) $(OBJS) -lclntsh $(EXPDLIBS) $(EXOSLIBS) -ldl -lm -lpthread -lnsl -lirc -ldl -lm $(USRLIBS) -lpthread] LDFLAGS: $(LDFLAGS32) [-m32 -o $@ -L/usr/local/oracle/ORA/rdbms//lib32/ -L/usr/local/oracle/ORA/lib32/ -L/usr/local/oracle/ORA/lib32/stubs/] Linking with /usr/local/oracle/ORA/rdbms/lib/defopt.o -lclntsh -ldl -lm -lpthread -lnsl -lirc -ldl -lm -lpthread [from $(DEF_OPT) $(OCISHAREDLIBS)] Checking if your kit is complete... Looks good LD_RUN_PATH=/usr/local/oracle/ORA/lib Using DBD::Oracle 1.50. Using DBD::Oracle 1.50. Using DBI 1.52 (for perl 5.008008 on x86_64-linux-thread-multi) installed in /usr/lib64/perl5/vendor_perl/5.8.8/x86_64-linux-thread-multi/auto/DBI/ Writing Makefile for DBD::Oracle Writing MYMETA.yml and MYMETA.json *** If you have problems... read all the log printed above, and the README and README.help.txt files. (Of course, you have read README by now anyway, haven't you?)

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  • Reading email address from contacts fails with weird memory issue - Solved

    - by CapsicumDreams
    Hi all, I'm stumped. I'm trying to get a list of all the email address a person has. I'm using the ABPeoplePickerNavigationController to select the person, which all seems fine. I'm setting my ABRecordRef personDealingWith; from the person argument to - (BOOL)peoplePickerNavigationController:(ABPeoplePickerNavigationController *)peoplePicker shouldContinueAfterSelectingPerson:(ABRecordRef)person property:(ABPropertyID)property identifier:(ABMultiValueIdentifier)identifier { and everything seems fine up till this point. The first time the following code executes, all is well. When subsequently run, I can get issues. First, the code: // following line seems to make the difference (issue 1) // NSLog(@"%d", ABMultiValueGetCount(ABRecordCopyValue(personDealingWith, kABPersonEmailProperty))); // construct array of emails ABMultiValueRef multi = ABRecordCopyValue(personDealingWith, kABPersonEmailProperty); CFIndex emailCount = ABMultiValueGetCount(multi); if (emailCount > 0) { // collect all emails in array for (CFIndex i = 0; i < emailCount; i++) { CFStringRef emailRef = ABMultiValueCopyValueAtIndex(multi, i); [emailArray addObject:(NSString *)emailRef]; CFRelease(emailRef); } } // following line also matters (issue 2) CFRelease(multi); If compiled as written, the are no errors or static analysis problems. This crashes with a *** -[Not A Type retain]: message sent to deallocated instance 0x4e9dc60 error. But wait, there's more! I can fix it in either of two ways. Firstly, I can uncomment the NSLog at the top of the function. I get a leak from the NSLog's ABRecordCopyValue every time through, but the code seems to run fine. Also, I can comment out the CFRelease(multi); at the end, which does exactly the same thing. Static compilation errors, but running code. So without a leak, this function crashes. To prevent a crash, I need to haemorrhage memory. Neither is a great solution. Can anyone point out what's going on? Solution: It turned out that I wasn't storing the ABRecordRef personDealingWith var correctly. I'm still not sure how to do that properly, but instead of having the functionality in another routine (performed later), I'm now doing the grunt-work in the delegate method, and using the derived results at my leisure. The new (working) routine: - (BOOL)peoplePickerNavigationController:(ABPeoplePickerNavigationController *)peoplePicker shouldContinueAfterSelectingPerson:(ABRecordRef)person { // as soon as they select someone, return personDealingWithFullName = (NSString *)ABRecordCopyCompositeName(person); personDealingWithFirstName = (NSString *)ABRecordCopyValue(person, kABPersonFirstNameProperty); // construct array of emails [personDealingWithEmails removeAllObjects]; ABMutableMultiValueRef multi = ABRecordCopyValue(person, kABPersonEmailProperty); if (ABMultiValueGetCount(multi) > 0) { // collect all emails in array for (CFIndex i = 0; i < ABMultiValueGetCount(multi); i++) { CFStringRef emailRef = ABMultiValueCopyValueAtIndex(multi, i); [personDealingWithEmails addObject:(NSString *)emailRef]; CFRelease(emailRef); } } CFRelease(multi); return NO; }

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  • Parallelism implies concurrency but not the other way round right?

    - by Cedric Martin
    I often read that parallelism and concurrency are different things. Very often the answerers/commenters go as far as writing that they're two entirely different things. Yet in my view they're related but I'd like some clarification on that. For example if I'm on a multi-core CPU and manage to divide the computation into x smaller computation (say using fork/join) each running in its own thread, I'll have a program that is both doing parallel computation (because supposedly at any point in time several threads are going to run on several cores) and being concurrent right? While if I'm simply using, say, Java and dealing with UI events and repaints on the Event Dispatch Thread plus running the only thread I created myself, I'll have a program that is concurrent (EDT + GC thread + my main thread etc.) but not parallel. I'd like to know if I'm getting this right and if parallelism (on a "single but multi-cores" system) always implies concurrency or not? Also, are multi-threaded programs running on multi-cores CPU but where the different threads are doing totally different computation considered to be using "parallelism"?

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