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  • Invalid SSH key erron in juju

    - by Captain T
    This is the output of juju from a clean install with 2 nodes all running 12.04 Precise juju bootstrap - finishes with no errors and allocates the machine to the user but still no joy after juju environment-destroy and rebuild with different users and different nodes. root@cloudcontrol:/storage# juju -v status 2012-06-07 11:19:47,602 DEBUG Initializing juju status runtime 2012-06-07 11:19:47,621 INFO Connecting to environment... 2012-06-07 11:19:47,905 DEBUG Connecting to environment using node-386077143930... 2012-06-07 11:19:47,906 DEBUG Spawning SSH process with remote_user="ubuntu" remote_host="node-386077143930" remote_port="2181" local_port="57004". The authenticity of host 'node-386077143930 (10.5.5.113)' can't be established. ECDSA key fingerprint is 31:94:89:62:69:83:24:23:5f:02:70:53:93:54:b1:c5. Are you sure you want to continue connecting (yes/no)? yes 2012-06-07 11:19:52,102 ERROR Invalid SSH key 2012-06-07 11:19:52,426:18541(0x7feb13b58700):ZOO_INFO@log_env@658: Client environment:zookeeper.version=zookeeper C client 3.3.5 2012-06-07 11:19:52,426:18541(0x7feb13b58700):ZOO_INFO@log_env@662: Client environment:host.name=cloudcontrol 2012-06-07 11:19:52,426:18541(0x7feb13b58700):ZOO_INFO@log_env@669: Client environment:os.name=Linux 2012-06-07 11:19:52,426:18541(0x7feb13b58700):ZOO_INFO@log_env@670: Client environment:os.arch=3.2.0-23-generic 2012-06-07 11:19:52,426:18541(0x7feb13b58700):ZOO_INFO@log_env@671: Client environment:os.version=#36-Ubuntu SMP Tue Apr 10 20:39:51 UTC 2012 2012-06-07 11:19:52,428:18541(0x7feb13b58700):ZOO_INFO@log_env@679: Client environment:user.name=sysadmin 2012-06-07 11:19:52,428:18541(0x7feb13b58700):ZOO_INFO@log_env@687: Client environment:user.home=/root 2012-06-07 11:19:52,428:18541(0x7feb13b58700):ZOO_INFO@log_env@699: Client environment:user.dir=/storage 2012-06-07 11:19:52,428:18541(0x7feb13b58700):ZOO_INFO@zookeeper_init@727: Initiating client connection, host=localhost:57004 sessionTimeout=10000 watcher=0x7feb11afc6b0 sessionId=0 sessionPasswd=<null> context=0x2dc7d20 flags=0 2012-06-07 11:19:52,429:18541(0x7feb0e856700):ZOO_ERROR@handle_socket_error_msg@1579: Socket [127.0.0.1:57004] zk retcode=-4, errno=111(Connection refused): server refused to accept the client 2012-06-07 11:19:55,765:18541(0x7feb0e856700):ZOO_ERROR@handle_socket_error_msg@1579: Socket [127.0.0.1:57004] zk retcode=-4, errno=111(Connection refused): server refused to accept the client

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  • Makefile error: Unexpected end of line seen

    - by Winston C. Yang
    Trying to install Git, I ran configure and make, but got the following error message: make: Fatal error in reader: Makefile, line 221: Unexpected end of line seen The Makefile looks like: 218: GIT-VERSION-FILE: FORCE 219: @$(SHELL_PATH) ./GIT-VERSION-GEN 220: -include GIT-VERSION-FILE 221: 222: uname_S := $(shell sh -c 'uname -s 2>/dev/null øø echo not') What's causing the error? The following information may or may not be relevant: I tried to install Git 1.7.0.3 on SunOS 5.9 (Solaris 9) in a directory in my account. The gcc version is 3.4.2 (older then the version of 3.4.6 stated by sunfreeware.com). I don't have root privileges.

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  • Error premature end of file pops up when accessing a URL

    - by kayteen
    Hi, I am using Coldfsuion 8.0.1 and Solaris 10 and when i try to run this URL, http://IPADDRESS/flex2gateway/http I am receiving an error message "Premature end of file". Please help me out if i am missing any installation/fix. Error details: [Flex] Premature end of file. flex.messaging.MessageException: Premature end of file. at flex.messaging.io.amfx.AmfxMessageDeserializer.fatalError(AmfxMessageDeserializer.java:249) at org.apache.xerces.util.ErrorHandlerWrapper.fatalError(Unknown Source) at org.apache.xerces.impl.XMLErrorReporter.reportError(Unknown Source) at org.apache.xerces.impl.XMLErrorReporter.reportError(Unknown Source) at org.apache.xerces.impl.XMLVersionDetector.determineDocVersion(Unknown Source) at org.apache.xerces.parsers.XML11Configuration.parse(Unknown Source) at org.apache.xerces.parsers.XML11Configuration.parse(Unknown Source) at org.apache.xerces.parsers.XMLParser.parse(Unknown Source) at org.apache.xerces.parsers.AbstractSAXParser.parse(Unknown Source) at javax.xml.parsers.SAXParser.parse(SAXParser.java:395) at javax.xml.parsers.SAXParser.parse(SAXParser.java:198) at flex.messaging.io.amfx.AmfxMessageDeserializer.parse(AmfxMessageDeserializer.java:103) at flex.messaging.io.amfx.AmfxMessageDeserializer.readMessage(AmfxMessageDeserializer.java:90) at flex.messaging.endpoints.amf.SerializationFilter.invoke(SerializationFilter.java:113)

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  • Jrun Server crashes when a page has cfform,cfgrid,cflayout etc..

    - by kayteen
    Hi, I am having a weird problem. I have a application that works perfect in my development machine and UAT machine which is of windows 2003 server/cf8. When i uploaded the same application on Solaris box with CF8, and access the site it works perfect until i hit the page that has CFFORM, CFLAYOUT, CFGRID.. etc.. The Jrun Server just crashes[jrpp-2 unexpected constant#48...]. There is nothing available in any of the logs. Please help me how to resolve this thing...!! Thanks, Bittoo More Info: http://forums.adobe.com/thread/605411?tstart=0

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  • How can I temporarily redirect printf output to a c-string?

    - by Ben S
    I'm writing an assignment which involves adding some functionality to PostgreSQL on a Solaris box. As part of the assignment, we need to print some information on the client side (i.e.: using elog.) PostgreSQL already has lots of helper methods which print out the required information, however, the helper methods are packed with hundreds of printf calls, and the elog method only works with c-style strings. Is there I way that I could temporarily redirect printf calls to a buffer so I could easily send it over elog to the client? If that's not possible, what would be the simplest way to modify the helper methods to end up with a buffer as output?

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  • Minimizing Java Thread Context Switching Overhead

    - by binil
    I have a Java application running on Sun 1.6 32-bit VM/Solaris 10 (x86)/Nahelem 8-core(2 threads per core). A specific usecase in the application is to respond to some external message. In my performance test environment, when I prepare and send the response in the same thread that receives the external input, I get about 50 us advantage than when I hand off the message to a separate thread to send the response. I use a ThreadPoolExecutor with a SynchronousQueue to do the handoff. In your experience what is the acceptable delay between scheduling a task to a thread pool and it getting picked up for execution? What ideas had worked for you in the past to try improve this?

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  • String Manipulation in Bash

    - by user348000
    Hello- I am a newbie in Bash and I am doing some string manipulation. I have the following file among other files in my directory: jdk-6u20-solaris-i586.sh I am doing the following to get jdk-6u20 in my script: myvar=`ls -la | awk '{print $9}' | egrep "i586" | cut -c1-8` echo $myvar but now I want to convert jdk-6u20 to jdk1.6.0_20. I can't seem to figure out how to do it. It must be as generic as possible. For example if I had jdk-6u25, I should be able to convert it at the same way to jdk1.6.0_25 so on and so forth Any suggestions?

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  • Please help to clean up my RoR development environment

    - by PeterWong
    I started RoR development a few months ago, and being new to Mac... Time flies and now I have a lot different ruby versions, rails versions and gems versions located everywhere......And currently I installed rvm and things got even worst, all things messed! And so I started want to clean all things and use rvm again! I want to uninstall all gems, all rails, and all ruby versions, except the system's default one (the very old one born with the mac). Or any other better solutions or suggestions!? Please help! there is some info that I think will be useful: which -a ruby /opt/local/bin/ruby /opt/local/bin/ruby /usr/local/bin/ruby /usr/bin/ruby /usr/local/bin/ruby which -a rails /usr/local/bin/rails /usr/bin/rails /usr/local/bin/rails which -a compass # simliar for rspec and many other gems /usr/local/bin/compass /usr/local/bin/compass gem list *** LOCAL GEMS *** abstract (1.0.0) actionmailer (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) actionpack (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) activemodel (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2) activerecord (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) activeresource (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) activesupport (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) addressable (2.2.2) arel (2.0.6, 1.0.1, 1.0.0.rc1) authlogic (2.1.6, 2.1.3) aws-s3 (0.6.2) base32 (0.1.2) block_helpers (0.3.3) bluecloth (2.0.9) bowline (0.9.4) bowline-bundler (0.0.4) bson (1.1.2) builder (2.1.2) bundler (1.0.2, 1.0.0) compass (0.10.6) crack (0.1.7) devise (1.1.3) diff-lcs (1.1.2) differ (0.1.1) dynamic_form (1.1.3) engineyard (1.3.1) engineyard-serverside-adapter (1.3.3) erubis (2.6.6) escape (0.0.4) extlib (0.9.15) facebooker (1.0.75) faker (0.3.1) faraday (0.5.3, 0.5.2) fast_gettext (0.5.10, 0.4.17) fastercsv (1.5.3) fastthread (1.0.7) ffi (0.6.3) formatize (1.0.1) formtastic (1.1.0, 1.0.1) gemcutter (0.5.0) gettext (2.1.0) git (1.2.5) gosu (0.7.25 universal-darwin) haml (3.0.24, 3.0.23, 3.0.22, 3.0.21, 3.0.18) haml-rails (0.3.4) heroku (1.10.13, 1.9.13) highline (1.5.2) hirb (0.3.4, 0.3.3) hpricot (0.8.2) i18n (0.5.0, 0.4.2, 0.4.1, 0.3.7) jeweler (1.4.0) json (1.4.6) json_pure (1.4.3) linkedin (0.1.8) locale (2.0.5) mail (2.2.12, 2.2.11, 2.2.10, 2.2.9, 2.2.7, 2.2.6.1) memcache-client (1.8.5) meta_search (0.9.8, 0.9.7.2, 0.9.7.1, 0.9.6, 0.9.4) mime-types (1.16) mongo (1.1.2) mongoid (2.0.0.beta.20) multi_json (0.0.5) multipart-post (1.0.1) mysql (2.8.1) mysql2 (0.2.6, 0.2.4, 0.2.3) net-ldap (0.1.1) nice-ffi (0.4) nokogiri (1.4.4, 1.4.2) oa-basic (0.1.6) oa-core (0.1.6) oa-enterprise (0.1.6) oa-oauth (0.1.6) oa-openid (0.1.6) oauth (0.4.4, 0.4.3, 0.4.1) oauth-plugin (0.4.0.pre1) oauth2 (0.1.0) omniauth (0.1.6) paperclip (2.3.6, 2.3.4, 2.3.1.1) passenger (2.2.12) polyglot (0.3.1) pyu-ruby-sasl (0.0.3.2) querybuilder (0.9.2, 0.5.9) rack (1.2.1, 1.1.0, 1.0.1) rack-cache (0.5.3) rack-cache-purge (0.0.2, 0.0.1) rack-mount (0.6.13) rack-openid (1.2.0) rack-test (0.5.6, 0.5.4) railroady (0.11.2) rails (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2, 2.3.9, 2.3.5, 2.3.4) railties (3.0.3, 3.0.1, 3.0.0, 3.0.0.rc2) rake (0.8.7) RedCloth (3.0.4) rest-client (1.6.1) roxml (3.1.5) rscribd (1.2.0) rspec (2.3.0, 2.2.0, 2.1.0, 2.0.1) rspec-core (2.3.0, 2.2.1, 2.1.0, 2.0.1) rspec-expectations (2.3.0, 2.2.0, 2.1.0, 2.0.1) rspec-mocks (2.3.0, 2.2.0, 2.1.0, 2.0.1) rspec-rails (2.3.0, 2.2.0, 2.1.0, 2.0.1) ruby-hmac (0.4.0) ruby-mysql (2.9.3) ruby-ole (1.2.10.1) ruby-openid (2.1.8) ruby-openid-apps-discovery (1.2.0) ruby-recaptcha (1.0.2, 1.0.0) ruby-sdl-ffi (0.3) ruby-termios (0.9.6) ruby_parser (2.0.5) rubyforge (2.0.4) rubygame (2.6.4) rubygems-update (1.3.7) rubyless (0.7.0, 0.6.0, 0.3.5) rubyntlm (0.1.1) rubyzip2 (2.0.1) scribd_fu (2.0.6) searchlogic (2.4.27, 2.4.23) sequel (3.16.0, 3.15.0, 3.13.0) sexp_processor (3.0.5) shoulda (2.11.3) sinatra (1.0) slim (0.8.0) slim-rails (0.1.2) spreadsheet (0.6.4.1) sqlite3-ruby (1.3.2, 1.3.1) ssl_requirement (0.1.0) subdomain-fu (1.0.0.beta2, 0.5.4) supermodel (0.1.4) syntax (1.0.0) taps (0.3.13, 0.3.11) templater (1.0.0) temple (0.1.6) text-format (1.0.0) text-hyphen (1.0.0) thor (0.14.6, 0.14.4, 0.14.3, 0.14.1, 0.14.0) tilt (1.1) treetop (1.4.9, 1.4.8) tzinfo (0.3.23) uuidtools (2.1.1, 2.0.0) validates_timeliness (3.0.0.beta.4, 2.3.1) warden (0.10.7) will_paginate (3.0.pre2, 2.3.15, 2.3.14) xml-simple (1.0.12) ya2yaml (0.30) yajl-ruby (0.7.8, 0.7.7) yamltest (0.7.0) zena (0.16.9, 0.16.8) ====== I have ran sudo rvm implode and sudo rm -rf ~/.rvm, so no rvm now. gem env RubyGems Environment: - RUBYGEMS VERSION: 1.3.7 - RUBY VERSION: 1.8.7 (2009-06-12 patchlevel 174) [i686-darwin10.2.0] - INSTALLATION DIRECTORY: /usr/local/lib/ruby/gems/1.8 - RUBY EXECUTABLE: /usr/local/bin/ruby - EXECUTABLE DIRECTORY: /usr/local/bin - RUBYGEMS PLATFORMS: - ruby - x86-darwin-10 - GEM PATHS: - /usr/local/lib/ruby/gems/1.8 - /Users/peter/.gem/ruby/1.8 - GEM CONFIGURATION: - :update_sources => true - :verbose => true - :benchmark => false - :backtrace => false - :bulk_threshold => 1000 - :sources => ["http://rubygems.org/", "http://gems.github.com"] - REMOTE SOURCES: - http://rubygems.org/ - http://gems.github.com === ls -al /usr/local/lib/ total 5704 drwxr-xr-x 7 root wheel 238 Jun 1 2010 . drwxr-xr-x 9 root wheel 306 Dec 15 16:20 .. -rw-r--r-- 1 root wheel 1717208 Jun 1 2010 libruby-static.a -rwxr-xr-x 1 root wheel 1191880 Jun 1 2010 libruby.1.8.7.dylib lrwxrwxrwx 1 root wheel 19 Jun 1 2010 libruby.1.8.dylib -> libruby.1.8.7.dylib lrwxrwxrwx 1 root wheel 19 Jun 1 2010 libruby.dylib -> libruby.1.8.7.dylib drwxr-xr-x 6 root wheel 204 Jun 1 2010 ruby

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  • Thread placement policies on NUMA systems - update

    - by Dave
    In a prior blog entry I noted that Solaris used a "maximum dispersal" placement policy to assign nascent threads to their initial processors. The general idea is that threads should be placed as far away from each other as possible in the resource topology in order to reduce resource contention between concurrently running threads. This policy assumes that resource contention -- pipelines, memory channel contention, destructive interference in the shared caches, etc -- will likely outweigh (a) any potential communication benefits we might achieve by packing our threads more densely onto a subset of the NUMA nodes, and (b) benefits of NUMA affinity between memory allocated by one thread and accessed by other threads. We want our threads spread widely over the system and not packed together. Conceptually, when placing a new thread, the kernel picks the least loaded node NUMA node (the node with lowest aggregate load average), and then the least loaded core on that node, etc. Furthermore, the kernel places threads onto resources -- sockets, cores, pipelines, etc -- without regard to the thread's process membership. That is, initial placement is process-agnostic. Keep reading, though. This description is incorrect. On Solaris 10 on a SPARC T5440 with 4 x T2+ NUMA nodes, if the system is otherwise unloaded and we launch a process that creates 20 compute-bound concurrent threads, then typically we'll see a perfect balance with 5 threads on each node. We see similar behavior on an 8-node x86 x4800 system, where each node has 8 cores and each core is 2-way hyperthreaded. So far so good; this behavior seems in agreement with the policy I described in the 1st paragraph. I recently tried the same experiment on a 4-node T4-4 running Solaris 11. Both the T5440 and T4-4 are 4-node systems that expose 256 logical thread contexts. To my surprise, all 20 threads were placed onto just one NUMA node while the other 3 nodes remained completely idle. I checked the usual suspects such as processor sets inadvertently left around by colleagues, processors left offline, and power management policies, but the system was configured normally. I then launched multiple concurrent instances of the process, and, interestingly, all the threads from the 1st process landed on one node, all the threads from the 2nd process landed on another node, and so on. This happened even if I interleaved thread creating between the processes, so I was relatively sure the effect didn't related to thread creation time, but rather that placement was a function of process membership. I this point I consulted the Solaris sources and talked with folks in the Solaris group. The new Solaris 11 behavior is intentional. The kernel is no longer using a simple maximum dispersal policy, and thread placement is process membership-aware. Now, even if other nodes are completely unloaded, the kernel will still try to pack new threads onto the home lgroup (socket) of the primordial thread until the load average of that node reaches 50%, after which it will pick the next least loaded node as the process's new favorite node for placement. On the T4-4 we have 64 logical thread contexts (strands) per socket (lgroup), so if we launch 48 concurrent threads we will find 32 placed on one node and 16 on some other node. If we launch 64 threads we'll find 32 and 32. That means we can end up with our threads clustered on a small subset of the nodes in a way that's quite different that what we've seen on Solaris 10. So we have a policy that allows process-aware packing but reverts to spreading threads onto other nodes if a node becomes too saturated. It turns out this policy was enabled in Solaris 10, but certain bugs suppressed the mixed packing/spreading behavior. There are configuration variables in /etc/system that allow us to dial the affinity between nascent threads and their primordial thread up and down: see lgrp_expand_proc_thresh, specifically. In the OpenSolaris source code the key routine is mpo_update_tunables(). This method reads the /etc/system variables and sets up some global variables that will subsequently be used by the dispatcher, which calls lgrp_choose() in lgrp.c to place nascent threads. Lgrp_expand_proc_thresh controls how loaded an lgroup must be before we'll consider homing a process's threads to another lgroup. Tune this value lower to have it spread your process's threads out more. To recap, the 'new' policy is as follows. Threads from the same process are packed onto a subset of the strands of a socket (50% for T-series). Once that socket reaches the 50% threshold the kernel then picks another preferred socket for that process. Threads from unrelated processes are spread across sockets. More precisely, different processes may have different preferred sockets (lgroups). Beware that I've simplified and elided details for the purposes of explication. The truth is in the code. Remarks: It's worth noting that initial thread placement is just that. If there's a gross imbalance between the load on different nodes then the kernel will migrate threads to achieve a better and more even distribution over the set of available nodes. Once a thread runs and gains some affinity for a node, however, it becomes "stickier" under the assumption that the thread has residual cache residency on that node, and that memory allocated by that thread resides on that node given the default "first-touch" page-level NUMA allocation policy. Exactly how the various policies interact and which have precedence under what circumstances could the topic of a future blog entry. The scheduler is work-conserving. The x4800 mentioned above is an interesting system. Each of the 8 sockets houses an Intel 7500-series processor. Each processor has 3 coherent QPI links and the system is arranged as a glueless 8-socket twisted ladder "mobius" topology. Nodes are either 1 or 2 hops distant over the QPI links. As an aside the mapping of logical CPUIDs to physical resources is rather interesting on Solaris/x4800. On SPARC/Solaris the CPUID layout is strictly geographic, with the highest order bits identifying the socket, the next lower bits identifying the core within that socket, following by the pipeline (if present) and finally the logical thread context ("strand") on the core. But on Solaris on the x4800 the CPUID layout is as follows. [6:6] identifies the hyperthread on a core; bits [5:3] identify the socket, or package in Intel terminology; bits [2:0] identify the core within a socket. Such low-level details should be of interest only if you're binding threads -- a bad idea, the kernel typically handles placement best -- or if you're writing NUMA-aware code that's aware of the ambient placement and makes decisions accordingly. Solaris introduced the so-called critical-threads mechanism, which is expressed by putting a thread into the FX scheduling class at priority 60. The critical-threads mechanism applies to placement on cores, not on sockets, however. That is, it's an intra-socket policy, not an inter-socket policy. Solaris 11 introduces the Power Aware Dispatcher (PAD) which packs threads instead of spreading them out in an attempt to be able to keep sockets or cores at lower power levels. Maximum dispersal may be good for performance but is anathema to power management. PAD is off by default, but power management polices constitute yet another confounding factor with respect to scheduling and dispatching. If your threads communicate heavily -- one thread reads cache lines last written by some other thread -- then the new dense packing policy may improve performance by reducing traffic on the coherent interconnect. On the other hand if your threads in your process communicate rarely, then it's possible the new packing policy might result on contention on shared computing resources. Unfortunately there's no simple litmus test that says whether packing or spreading is optimal in a given situation. The answer varies by system load, application, number of threads, and platform hardware characteristics. Currently we don't have the necessary tools and sensoria to decide at runtime, so we're reduced to an empirical approach where we run trials and try to decide on a placement policy. The situation is quite frustrating. Relatedly, it's often hard to determine just the right level of concurrency to optimize throughput. (Understanding constructive vs destructive interference in the shared caches would be a good start. We could augment the lines with a small tag field indicating which strand last installed or accessed a line. Given that, we could augment the CPU with performance counters for misses where a thread evicts a line it installed vs misses where a thread displaces a line installed by some other thread.)

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  • What is difference between install desktop-environment and run directly distro?

    - by Pandya
    My question is what is difference between installing perticular desktop environment on Ubuntu And Using directly that (Default -environmented) distro/flavour of Ubuntu? Example: Two options: Install ubuntu-gnome-desktop or kubuntu-desktop or xubuntu-desktopetc. (official & recognized derivatives) alternatively on Ubuntu (Default -Unity Desktop) Use (Run) perticular distro/flavour Ubuntu-Gnome or Kubuntu or Xubuntu etc. I want to know is both method working same performance? and which is proper method to use Desktop Environment.

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  • DLL search on windows

    - by Luís Guilherme
    On linux, we have LIBRARY_PATH and LD_LIBRARY_PATH environment variables in order for programs to search for libraries. Do we have similar thing on windows? Particularly Windows 7? Also, I would like to know best practices for DLL use (where to put them, use envs or not, etc.), since I want to work on windows like everyone does, and not to sloth myself on workarounds :)

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  • Free Application Lifecycle Management Tools for .NET Development

    - by pablocastilla
    I would like to achieve the following: I want a free Application Lifecycle Management (ALM) environment surrounding vs2008 sp1. (My company is short of cash). I want all the stuff: CI, BugTracking, task panel, Wiki, Source control... all integrating themselves. If I could have some kind of scrum managing tools it would be better. Any recommendation? Thanks in advance.

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  • os.environ() giving errors while setting for Hudson

    - by Arnab Sen Gupta
    I want a small python script to set the HUDSON_HOME environment variable. When using the shell, I can easily do this using set HUDSON_HOME=http://localhost:8080 But how can I do the same directly through python?? I don't want to do it by passing the command line to os.system().. can os.environ() be of any help?? I had in my script: import os os.environ('HUDSON_HOME')='http://localhost:8080' but it's probably setting it for the subprocss and not the parent shell..any way around this??

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  • Which graphical enviroment?

    - by Knowing me knowing you
    Which graphical environment (MFC, ATL, QT etc.) should I concentrate on, in order to be more employable? I don't want to spend months learning something only to discover that "no one" really use this or this really sucks, and "all" pros are using only such and such.

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  • Where do you extend classes in your rails application?

    - by ro
    Just about to extend the Array class with the following extension: class Array def shuffle! size.downto(1) { |n| push delete_at(rand(n)) } self end end However, I was wondering where a good place to keep these sort of extensions. I was thinking environment.rb or putting in its own file in the initializers directory.

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  • Debug CGI by simulation

    - by Jonathan
    I basically want to debug a cgi programm with gdb by emulating the environment variables and stdin stream. How do I set the variables and stdin? I am using lampp and gdb. Thanks!

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  • Perl ENV variable contains newline and tab

    - by Michael
    Say I have an environment variable myvar myvar=\tapple\n when the following command will print out this variable perl -e 'print "$ENV{myvar}"' I will literally have \tapple\n, however, I want those control chars to be evaluated and not escaped. How would I achieve it? In the real world $ENV residing in substitution, but I hope the answer will cover that.

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  • The Growing Importance of Network Virtualization

    - by user12608550
    The Growing Importance of Network Virtualization We often focus on server virtualization when we discuss cloud computing, but just as often we neglect to consider some of the critical implications of that technology. The ability to create virtual environments (or VEs [1]) means that we can create, destroy, activate and deactivate, and more importantly, MOVE them around within the cloud infrastructure. This elasticity and mobility has profound implications for how network services are defined, managed, and used to provide cloud services. It's not just servers that benefit from virtualization, it's the network as well. Network virtualization is becoming a hot topic, and not just for discussion but for companies like Oracle and others who have recently acquired net virtualization companies [2,3]. But even before this topic became so prominent, Solaris engineers were working on technologies in Solaris 11 to virtualize network services, known as Project Crossbow [4]. And why is network virtualization so important? Because old assumptions about network devices, topology, and management must be re-examined in light of the self-service, elasticity, and resource sharing requirements of cloud computing infrastructures. Static, hierarchical network designs, and inter-system traffic flows, need to be reconsidered and quite likely re-architected to take advantage of new features like virtual NICs and switches, bandwidth control, load balancing, and traffic isolation. For example, traditional multi-tier Web services (Web server, App server, DB server) that share net traffic over Ethernet wires can now be virtualized and hosted on shared-resource systems that communicate within a larger server at system bus speeds, increasing performance and reducing wired network traffic. And virtualized traffic flows can be monitored and adjusted as needed to optimize network performance for dynamically changing cloud workloads. Additionally, as VEs come and go and move around in the cloud, static network configuration methods cannot easily accommodate the routing and addressing flexibility that VE mobility implies; virtualizing the network itself is a requirement. Oracle Solaris 11 [5] includes key network virtualization technologies needed to implement cloud computing infrastructures. It includes features for the creation and management of virtual NICs and switches, and for the allocation and control of the traffic flows among VEs [6]. Additionally it allows for both sharing and dedication of hardware components to network tasks, such as allocating specific CPUs and vNICs to VEs, and even protocol-specific management of traffic. So, have a look at your current network topology and management practices in view of evolving cloud computing technologies. And don't simply duplicate the physical architecture of servers and connections in a virtualized environment…rethink the traffic flows among VEs and how they can be optimized using Oracle Solaris 11 and other Oracle products and services. [1] I use the term "virtual environment" or VE here instead of the more commonly used "virtual machine" or VM, because not all virtualized operating system environments are full OS kernels under the control of a hypervisor…in other words, not all VEs are VMs. In particular, VEs include Oracle Solaris zones, as well as SPARC VMs (previously called LDoms), and x86-based Solaris and Linux VMs running under hypervisors such as OEL, Xen, KVM, or VMware. [2] Oracle follows VMware into network virtualization space with Xsigo purchase; http://www.mercurynews.com/business/ci_21191001/oracle-follows-vmware-into-network-virtualization-space-xsigo [3] Oracle Buys Xsigo; http://www.oracle.com/us/corporate/press/1721421 [4] Oracle Solaris 11 Networking Virtualization Technology, http://www.oracle.com/technetwork/server-storage/solaris11/technologies/networkvirtualization-312278.html [5] Oracle Solaris 11; http://www.oracle.com/us/products/servers-storage/solaris/solaris11/overview/index.html [6] For example, the Solaris 11 'dladm' command can be used to limit the bandwidth of a virtual NIC, as follows: dladm create-vnic -l net0 -p maxbw=100M vnic0

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  • How to make gcc on SUN calculate floating points the same way as in Linux

    - by Marina
    I have a project where I have to perform some mathematics calculations with double variables. The problem is that I get different results on SUN Solaris 9 and Linux. There are a lot of ways (explained here and other forums) how to make Linux work as Sun, but not the other way around. I cannot touch the Linux code, so it is only SUN I can change. Is there any way to make SUN to behave as Linux? The code I run(compile with gcc on both systems): int hash_func(char *long_id) { double product, lnum, gold; while (*long_id) lnum = lnum * 10.0 + (*long_id++ - '0'); printf("lnum => %20.20f\n", lnum); lnum = lnum * 10.0E-8; printf("lnum => %20.20f\n", lnum); gold = 0.6125423371582974; product = lnum * gold; printf("product => %20.20f\n", product); ... } if the input is 339886769243483 the output in Linux: lnum => 339886769243**483**.00000000000000000000 lnum => 33988676.9243**4829473495483398** product => 20819503.600158**59827399253845** When on SUN: lnum => 339886769243483.00000000000000000000 lnum => 33988676.92434830218553543091 product = 20819503.600158**60199928283691** Note: The result is not always different, moreover most of the times it is the same. Just 10 15-digit numbers out of 60000 have this problem. Please help!!!

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