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  • fwbuilder/iptables manually scripted + autogenerated rules at startup?

    - by Jakobud
    Fedora 11 Our previous IT-guy setup iptable rules on our firewall in a way that is confusing me and he didn't document any of it. I was hoping someone could help me make some sense of it. The iptables service is obviously starting at startup, but the /etc/sysconfig/iptables file was untouched (default values). I found in /etc/rc.local he was doing this: # We have multiple ISP connections on our network. # The following is about 50+ rules to route incoming and outgoing # information. For example, certain internal hosts are specified here # to use ISP A connection while everyone else on the network uses # ISP B connection when access the internet. ip rule add from 99.99.99.99 table Whatever_0 ip rule add from 99.99.99.98 table Whatever_0 ip rule add from 99.99.99.97 table Whatever_0 ip rule add from 99.99.99.96 table Whatever_0 ip rule add from 99.99.99.95 table Whatever_0 ip rule add from 192.168.1.103 table ISB_A ip rule add from 192.168.1.105 table ISB_A ip route add 192.168.0.0/24 dev eth0 table ISB_B # etc... and then near the end of the file, AFTER all the ip rules he just declared, he has this: /root/fw/firewall-rules.fw He's executing the firewall rules file that was auto-generated by fwbuilder. Some questions Why is he declaring all these ip rules in rc.local instead of declaring them in fwbuilder like all the other rules? Any advantage or necessity to this? Or is this just a poorly organized way to implement firewall rules? Why is he declaring ip rules BEFORE executing the fwbuilder script? I would assume that one of the first things the fwbuilder script does it get rid of any existing rules before declaring all the new ones. Am I wrong about this? If that was the case, the fwbuilder script would basically just delete all the ip rules that were defined in rc.local. Does this make any sense? Why is he executing all this stuff at startup in rc.local instead of just using iptables-save to keep the firewall settings at /etc/sysconfig/iptables that will get implemented at runtime?

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  • HELP PLEASE!!!! External component has thrown an exception. ASP.NET ASPX PAGE POST

    - by Brandon
    I have an aspx page that communicates with a webservice I have. It connects to an SQL Server database on my virtual dedicated server. With just a little usage, I get this error External component has thrown an exception. Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: System.Runtime.InteropServices.SEHException: External component has thrown an exception. Source Error: An unhandled exception was generated during the execution of the current web request. Information regarding the origin and location of the exception can be identified using the exception stack trace below. Stack Trace: [SEHException (0x80004005): External component has thrown an exception.] Luxand.FSDK.Initialize(String DataFilesPath) +0 WebService.onLoad() +70 WebService..ctor() +91 facematch.btn_submit_Click(Object sender, EventArgs e) +218 System.Web.UI.WebControls.Button.OnClick(EventArgs e) +105 System.Web.UI.WebControls.Button.RaisePostBackEvent(String eventArgument) +107 System.Web.UI.WebControls.Button.System.Web.UI.IPostBackEventHandler.RaisePostBackEvent(String eventArgument) +7 System.Web.UI.Page.RaisePostBackEvent(IPostBackEventHandler sourceControl, String eventArgument) +11 System.Web.UI.Page.RaisePostBackEvent(NameValueCollection postData) +33 System.Web.UI.Page.ProcessRequestMain(Boolean includeStagesBeforeAsyncPoint, Boolean includeStagesAfterAsyncPoint) +1746

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  • Ubuntu 12.10, Unity, AMD 12.11 beta drivers, AMD APP SDK 2.7 and OpenCL detection of multiple gpus

    - by junkie
    I'm using Ubuntu 12.10, AMD 12.11 beta drivers, AMD APP SDK 2.7 and OpenCL. I have three amd radeon 7990s plugged in each of which are a dual 7970 so I have six gpus altogether. I plan to go up to eight in a few days. Windows couldn't use even 4 but linux works fine with 6 so far. The strange thing is that the six gpus are only detected by OpenCL in unity (the ubuntu default window manager). If I switch to e17, blackbox or fluxbox or anything else for that matter OpenCL only detects one. I'm using a simple OpenCL program to list all devices to check. I've also checked the output of aticonfig --list-adapters, fglxinfo and clinfo. The first two always show six in all window managers wheras clinfo shows 6 in unity but 1 gpu in all other WMs. I'm also using an X config generated by aticonfig --initial -f --adapter=all. I'm also only using one monitor. I've also checked using lsmod that the fglrx module is loaded in all WMs. So I have two questions. Why does OpenCL see six gpus only in unity? How can I enable six gpus on other lightweight WMs? Basically I'm getting at what determines how many gpus the OpenCL runtime sees? Thanks.

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  • Ubuntu 12.10 64bit host reboots when trying to install any guest system using VirtualBox

    - by gts123
    I am having a really nasty problem with VirtualBox as everytime I try to install any guest OS(using ISO file as CD for installation media), the installation starts normally but as soon as it is about to start either installing to virtual hard drive or loading(e.g. as LiveFS) it causes the host system to reboot abruptly. Config is as below: Host system: Ubuntu 12.10 64bit - Intel® Core i7-2640M CPU @ 2.80GHz × 4 Virtualbox version: 4.1.18_Ubuntu r78361 Guest OS systems tried: 32bit version of FreeBSD 9, Debian 6, Tails 0.14 VM setup Tried to have the minimal setup necessary just in case it would avoid for each system to make sure I'd avoid conflicts, but to no avail. I've tried different values and combinations of the below but the problem still persists: Shared Clipboard: Disabled Show in fullscreen/seamless: Disabled Remember runtime changes: DIsabled Base Memory: 2048 MB Chipset: PIIX3 IO APIC: Disabled EFI: Disabled Absolute Pointing device: Disabled Processor(s): 1 CPU PAE/NX: Disabled VT-x/AMD-V: Disabled Video Memory: 12 MB 3d/2d acceleration: Disabled Storage IDE COntroller: PIIX3 (same as chipset instead of PIIX4) Use host I/O cache: No Audio: disabled Network adapter: NAT USB controller: disabled No shared folder Also another sideeffect of the reboot is that it appears that it does not log any information in the error log files; not making things any easier. Please help.

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  • Hide/Replace Nginx Location Header?

    - by Steven Ou
    I am trying to pass a PCI compliance test, and I'm getting a single "high risk vulnerability". The problem is described as: Information on the machine which a web server is located is sometimes included in the header of a web page. Under certain circumstances that information may include local information from behind a firewall or proxy server such as the local IP address. It looks like Nginx is responding with: Service: https Received: HTTP/1.1 302 Found Cache-Control: no-cache Content-Type: text/html; charset=utf-8 Location: http://ip-10-194-73-254/ Server: nginx/1.0.4 + Phusion Passenger 3.0.7 (mod_rails/mod_rack) Status: 302 X-Powered-By: Phusion Passenger (mod_rails/mod_rack) 3.0.7 X-Runtime: 0 Content-Length: 90 Connection: Close <html><body>You are being <a href="http://ip-10-194-73-254/">redirect ed</a>.</body></html> I'm no expert, so please correct me if I'm wrong: but from what I gathered, I think the problem is that the Location header is returning http://ip-10-194-73-254/, which is a private address, when it should be returning our domain name (which is ravn.com). So, I'm guessing I need to either hide or replace the Location header somehow? I'm a programmer and not a server admin so I have no idea what to do... Any help would be greatly appreciated! Also, might I add that we're running more than 1 server, so the configuration would need to be transferable to any server with any private address.

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  • Stepmania + KDE4 = sound problem

    - by picca
    I cannot manage to get KDE4 + stepmania working. If I run StepMania I always get: StepMania 3.9 Log starting 2010-12-24 14:52:48 Loading window: gtk OS: Linux ver 020636 Crash backtrace component: x86 custom backtrace Crash lookup component: dladdr Crash demangle component: cxa_demangle Runtime library: glibc 2.11.2 Threads library: NPTL 2.11.2 TLS is available ALSA: Advanced Linux Sound Architecture Driver Version 1.0.23. ALSA Driver: 0: HDA ATI SB [SB], device 0: STAC92xx Analog [STAC92xx Analog], 0/1 subdevices avail ALSA Driver: 0: HDA ATI SB [SB], device 1: STAC92xx Digital [STAC92xx Digital], 1/1 subdevices avail Couldn't load driver ALSA: dsnd_pcm_open(hw:0): Device or resource busy Mixing 0.000000 ahead in 0 Mix() calls Couldn't load driver ALSA-sw: dsnd_pcm_open(hw:0): Device or resource busy Mixing 0.000000 ahead in 0 Mix() calls Couldn't load driver OSS: RageSound_OSS: Couldn't open /dev/dsp: Device or resource busy Language: english Theme: default Error: Couldn't find a sound driver that works I found that in StepMania/Data/StepMania.ini I should add following line: SoundDevice=default That enables me to run StepMania, but I don't have any sound. Which is pretty bad for an application like this one. I'm quite sure that the problem is in phonon that is blocking the audio device to which StepMania needs to access directly. I think that I can fix this if I run other (lighter) window-manager than KDE4. But that is not a solution occasional linux user. Do I have any chance to get StepMania under KDE4 completely working?

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  • Apache memory allocation error message

    - by la_f0ka
    I'm trying to set up a medium sized Drupal 7 website on my miniserver but I keep getting a 500 error message. This is what I found in Apache's error log: [Wed Sep 12 15:02:04 2012] [notice] SSL FIPS mode disabled [Wed Sep 12 15:02:04 2012] [warn] No JkShmFile defined in httpd.conf. Using default /usr/local/apache/logs/jk-runtime-status [Wed Sep 12 15:02:04 2012] [notice] Apache/2.2.22 (Unix) mod_ssl/2.2.22 OpenSSL/1.0.0-fips mod_auth_passthrough/2.1 mod_bwlimited/1.4 FrontPage/5.0.2.2635 mod_jk/1.2.35 configured -- resuming normal operations [Wed Sep 12 15:02:07 2012] [error] [client 89.16.136.28] /usr/bin/php: error while loading shared libraries: libkrb5support.so.0: failed to map segment from shared object: Cannot allocate memory [Wed Sep 12 15:02:07 2012] [error] [client 89.16.136.28] Premature end of script headers: index.php [Wed Sep 12 15:02:07 2012] [error] [client 89.16.136.28] /usr/bin/php: error while loading shared libraries: libkrb5support.so.0: failed to map segment from shared object: Cannot allocate memory [Wed Sep 12 15:02:07 2012] [error] [client 89.16.136.28] Premature end of script headers: index.php [Wed Sep 12 15:02:07 2012] [error] [client 89.16.136.28] File does not exist: /home/brighton/public_html/favicon.ico [Wed Sep 12 15:02:07 2012] [error] [client 89.16.136.28] /usr/bin/php: error while loading shared libraries: libkrb5support.so.0: failed to map segment from shared object: Cannot allocate memory [Wed Sep 12 15:02:07 2012] [error] [client 89.16.136.28] Premature end of script headers: index.php I contacted support and they just told me I should just upgrade my package (right not I have a 512Mb account), but I am not sure if I'm buying it... even if I'm trying to access a file which only contains phpinfo(); I still get the 500. Any help would be much appreciated, and if there's need of any other information please let me know and I'll update the question. I compiled apache with tomcat because I intend to use Solr... not sure if this is relevant or not.

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  • Google Chrome won't install via IE9/Windows7

    - by purir
    Using IE9, I've tried installing Google Chrome on Windows 7 from this url http://www.google.com/chrome/eula.html?hl=en-GB&platform=win But get the following error (apologies for uncouthly dumping this nonsense...) Any ideas dearly appreciated! PLATFORM VERSION INFO Windows : 6.1.7601.65536 (Win32NT) Common Language Runtime : 4.0.30319.235 System.Deployment.dll : 4.0.30319.1 (RTMRel.030319-0100) clr.dll : 4.0.30319.235 (RTMGDR.030319-2300) dfdll.dll : 4.0.30319.1 (RTMRel.030319-0100) dfshim.dll : 4.0.31106.0 (Main.031106-0000) SOURCES Deployment url : _http://dl.google.com/update2/1.3.21.57/GoogleInstaller_en-GB.application?appguid%3D%7B8A69D345-D564-463C-AFF1-A69D9E530F96%7D%26iid%3D%7B26C55C3A-B26A-0484-FEDD-78443D269DA1%7D%26lang%3Den-GB%26browser%3D2%26usagestats%3D0%26appname%3DGoogle%2520Chrome%26needsadmin%3Dfalse%26installdataindex%3Ddefaultbrowser ERROR SUMMARY Below is a summary of the errors, details of these errors are listed later in the log. * Activation of _http://dl.google.com/update2/1.3.21.57/GoogleInstaller_en-GB.application?appguid%3D%7B8A69D345-D564-463C-AFF1-A69D9E530F96%7D%26iid%3D%7B26C55C3A-B26A-0484-FEDD-78443D269DA1%7D%26lang%3Den-GB%26browser%3D2%26usagestats%3D0%26appname%3DGoogle%2520Chrome%26needsadmin%3Dfalse%26installdataindex%3Ddefaultbrowser resulted in exception. Following failure messages were detected: + The system cannot find the file specified. (Exception from HRESULT: 0x80070002) COMPONENT STORE TRANSACTION FAILURE SUMMARY No transaction error was detected. WARNINGS There were no warnings during this operation. OPERATION PROGRESS STATUS * [25/06/2011 11:41:04] : Activation of _http://dl.google.com/update2/1.3.21.57/GoogleInstaller_en-GB.application?appguid%3D%7B8A69D345-D564-463C-AFF1-A69D9E530F96%7D%26iid%3D%7B26C55C3A-B26A-0484-FEDD-78443D269DA1%7D%26lang%3Den-GB%26browser%3D2%26usagestats%3D0%26appname%3DGoogle%2520Chrome%26needsadmin%3Dfalse%26installdataindex%3Ddefaultbrowser has started. ERROR DETAILS Following errors were detected during this operation. * [25/06/2011 11:41:04] System.IO.FileNotFoundException - The system cannot find the file specified. (Exception from HRESULT: 0x80070002) - Source: System.Deployment - Stack trace: at System.Deployment.Internal.Isolation.IsolationInterop.GetUserStore(UInt32 Flags, IntPtr hToken, Guid& riid) at System.Deployment.Application.ComponentStore..ctor(ComponentStoreType storeType, SubscriptionStore subStore) at System.Deployment.Application.SubscriptionStore..ctor(String deployPath, String tempPath, ComponentStoreType storeType) at System.Deployment.Application.SubscriptionStore.get_CurrentUser() at System.Deployment.Application.ApplicationActivator.PerformDeploymentActivation(Uri activationUri, Boolean isShortcut, String textualSubId, String deploymentProviderUrlFromExtension, BrowserSettings browserSettings, String& errorPageUrl) at System.Deployment.Application.ApplicationActivator.ActivateDeploymentWorker(Object state) COMPONENT STORE TRANSACTION DETAILS No transaction information is available.

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  • External component has thrown an exception. ASP.NET ASPX PAGE POST

    - by Brandon
    I have an aspx page that communicates with a webservice I have. It connects to an SQL Server database on my virtual dedicated server. With just a little usage, I get this error External component has thrown an exception. Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: System.Runtime.InteropServices.SEHException: External component has thrown an exception. Source Error: An unhandled exception was generated during the execution of the current web request. Information regarding the origin and location of the exception can be identified using the exception stack trace below. Stack Trace: [SEHException (0x80004005): External component has thrown an exception.] Luxand.FSDK.Initialize(String DataFilesPath) +0 WebService.onLoad() +70 WebService..ctor() +91 facematch.btn_submit_Click(Object sender, EventArgs e) +218 System.Web.UI.WebControls.Button.OnClick(EventArgs e) +105 System.Web.UI.WebControls.Button.RaisePostBackEvent(String eventArgument) +107 System.Web.UI.WebControls.Button.System.Web.UI.IPostBackEventHandler.RaisePostBackEvent(String eventArgument) +7 System.Web.UI.Page.RaisePostBackEvent(IPostBackEventHandler sourceControl, String eventArgument) +11 System.Web.UI.Page.RaisePostBackEvent(NameValueCollection postData) +33 System.Web.UI.Page.ProcessRequestMain(Boolean includeStagesBeforeAsyncPoint, Boolean includeStagesAfterAsyncPoint) +1746

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  • Simulate a DFS share for a user not on domain with a folder in path

    - by user223655
    I have a consultant whose computer is not on the domain and needs to access various network resources. Unfortunately while adding a computer to the domain is a difficult bureaucratic process (and would disallow much of his development software from even running given the domain restrictions), we can allow him to have credentials to access network resources. As such, he accesses various network resources via NET USE etc. without using DFS. There is one piece of software which requires him to have the same hardcoded path as other domain users but that path is a DFS path which he can't map (i.e., the software checks the path at runtime and will only run if it matches the registered path and will reject it in the context of using a DFS versus conventional machine path) I was wondering if there's some method to simulate the DFS path without actually using DFS. e.g., the path the software needs to see is "\ABC\DFS\software\app.exe" whereas the non DFS path is "\DEF\Software\app.exe" while I could make his hosts file point DEF to ABC, I'm not sure if I can somehow make it point there with the DFS "folder" as well are there any methods for this short of making changes to the AD to allow him to use DFS or add him to the domain (both of which are politically/technically challenging sadly)? Thanks guys

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  • Apache APC (Windows) Can I optimize these APC settings more?

    - by ar099968
    I would like to optimize APC some more but I am not sure where I could do something. First here is the stats after 1 week of running with the current configuration: General Cache Information APC Version 3.1.9 PHP Version 5.4.4 APC Host XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Server Software Apache Shared Memory 1 Segment(s) with 128.0 MBytes (IPC shared memory, Windows Slim RWLOCK (native) locking) Start Time 2014/06/08 05:00:00 Uptime 6 days, 11 hours and 55 minutes File Upload Support 1 Host Status Diagrams Memory Usage Free: 99.7 MBytes (77.9%) Used: 28.3 MBytes (22.1%) Hits & Misses Hits: 510818 (99.9%) Misses: 608 (0.1%) Detailed Memory Usage and Fragmentation Fragmentation: 0.60% (609.8 KBytes out of 99.7 MBytes in 83 fragments) File Cache Information Cached Files 693 ( 35.4 MBytes) Hits 5143359 Misses 1087 Request Rate (hits, misses) 13.24 cache requests/second Hit Rate 13.24 cache requests/second Miss Rate 0.00 cache requests/second Insert Rate 0.01 cache requests/second Cache full count 0 User Cache Information Cached Variables 0 ( 0.0 Bytes) Hits 0 Misses 0 Request Rate (hits, misses) 0.00 cache requests/second Hit Rate 0.00 cache requests/second Miss Rate 0.00 cache requests/second Insert Rate 0.00 cache requests/second Cache full count 0 Runtime Settings apc.cache_by_default 1 apc.canonicalize 1 apc.coredump_unmap 0 apc.enable_cli 0 apc.enabled 1 apc.file_md5 0 apc.file_update_protection 2 apc.filters -/apc.php$, -/apc_clean.php$, -.tpl.cache.php$, -.tpl.php$, -.string.cache.php$, -.string.php$ apc.gc_ttl 3600 apc.include_once_override 0 apc.lazy_classes 0 apc.lazy_functions 0 apc.max_file_size 2M apc.num_files_hint 7000 apc.preload_path apc.report_autofilter 0 apc.rfc1867 0 apc.rfc1867_freq 0 apc.rfc1867_name APC_UPLOAD_PROGRESS apc.rfc1867_prefix upload_ apc.rfc1867_ttl 3600 apc.serializer default apc.shm_segments 1 apc.shm_size 128M apc.shm_strings_buffer 4M apc.slam_defense 0 apc.stat 1 apc.stat_ctime 0 apc.ttl 7200 apc.use_request_time 1 apc.user_entries_hint 4096 apc.user_ttl 7200 apc.write_lock 1

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  • Google Chrome won't install via IE9/Windows7

    - by purir
    Using IE9, I've tried installing Google Chrome on Windows 7 from this url http://www.google.com/chrome/eula.html?hl=en-GB&platform=win But get the following error (apologies for uncouthly dumping this nonsense...) Any ideas dearly appreciated! PLATFORM VERSION INFO Windows : 6.1.7601.65536 (Win32NT) Common Language Runtime : 4.0.30319.235 System.Deployment.dll : 4.0.30319.1 (RTMRel.030319-0100) clr.dll : 4.0.30319.235 (RTMGDR.030319-2300) dfdll.dll : 4.0.30319.1 (RTMRel.030319-0100) dfshim.dll : 4.0.31106.0 (Main.031106-0000) SOURCES Deployment url : _http://dl.google.com/update2/1.3.21.57/GoogleInstaller_en-GB.application?appguid%3D%7B8A69D345-D564-463C-AFF1-A69D9E530F96%7D%26iid%3D%7B26C55C3A-B26A-0484-FEDD-78443D269DA1%7D%26lang%3Den-GB%26browser%3D2%26usagestats%3D0%26appname%3DGoogle%2520Chrome%26needsadmin%3Dfalse%26installdataindex%3Ddefaultbrowser ERROR SUMMARY Below is a summary of the errors, details of these errors are listed later in the log. * Activation of _http://dl.google.com/update2/1.3.21.57/GoogleInstaller_en-GB.application?appguid%3D%7B8A69D345-D564-463C-AFF1-A69D9E530F96%7D%26iid%3D%7B26C55C3A-B26A-0484-FEDD-78443D269DA1%7D%26lang%3Den-GB%26browser%3D2%26usagestats%3D0%26appname%3DGoogle%2520Chrome%26needsadmin%3Dfalse%26installdataindex%3Ddefaultbrowser resulted in exception. Following failure messages were detected: + The system cannot find the file specified. (Exception from HRESULT: 0x80070002) COMPONENT STORE TRANSACTION FAILURE SUMMARY No transaction error was detected. WARNINGS There were no warnings during this operation. OPERATION PROGRESS STATUS * [25/06/2011 11:41:04] : Activation of _http://dl.google.com/update2/1.3.21.57/GoogleInstaller_en-GB.application?appguid%3D%7B8A69D345-D564-463C-AFF1-A69D9E530F96%7D%26iid%3D%7B26C55C3A-B26A-0484-FEDD-78443D269DA1%7D%26lang%3Den-GB%26browser%3D2%26usagestats%3D0%26appname%3DGoogle%2520Chrome%26needsadmin%3Dfalse%26installdataindex%3Ddefaultbrowser has started. ERROR DETAILS Following errors were detected during this operation. * [25/06/2011 11:41:04] System.IO.FileNotFoundException - The system cannot find the file specified. (Exception from HRESULT: 0x80070002) - Source: System.Deployment - Stack trace: at System.Deployment.Internal.Isolation.IsolationInterop.GetUserStore(UInt32 Flags, IntPtr hToken, Guid& riid) at System.Deployment.Application.ComponentStore..ctor(ComponentStoreType storeType, SubscriptionStore subStore) at System.Deployment.Application.SubscriptionStore..ctor(String deployPath, String tempPath, ComponentStoreType storeType) at System.Deployment.Application.SubscriptionStore.get_CurrentUser() at System.Deployment.Application.ApplicationActivator.PerformDeploymentActivation(Uri activationUri, Boolean isShortcut, String textualSubId, String deploymentProviderUrlFromExtension, BrowserSettings browserSettings, String& errorPageUrl) at System.Deployment.Application.ApplicationActivator.ActivateDeploymentWorker(Object state) COMPONENT STORE TRANSACTION DETAILS No transaction information is available.

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  • Random “Lost connection to MySQL server at 'reading initial communication packet', system error: 0”

    - by user1606545
    Sometimes I get the error from MYSQL server: Lost connection to MySQL server at 'reading initial communication packet', system error: 0 I cannot find the cause, since most of the time it works, but every week for some hours I get this error. I googled, but there seem to be only users which have this error permanently. But in this case, it only occurs sometimes. I checked hosts.allow and hosts.deny, but the host is allowed and not denied. Also sometimes I get the error: File './database/table.MYD' not found (Errcode: 24) It occurs very rarely. But it occurs for some hours once a week, sometimes on multiple days, but suddenly the problem disappears again. I have checked the open files limit. It's 2048 and should be absolutely enough. I also tried to increase the number of open files nevertheless, but no effect. I thought, perhaps the process does not close some tables. But this is impossible, because after a while everythings o.k. again and the process opens maximum 100 tables at once. I also checked the MySQL-runtime-environment, and there were 930 opened files. I cannot explain that. After a while it's 129. I am running a MySQL-Server on a SUSE-Linux machine. I connect to the MySQL-Server from another host by the command line tool "mysql" and by MySQL-C-connector. The MySQL-Server is version 5.0.67.

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  • C# SMTP virtual server doesn't send mail [closed]

    - by ragaei
    I have got the following Exception : System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. - System.Runtime.InteropServices.COMException (0x8004020F): The server rejected one or more recipient addresses. The server response was: 550 5.7.1 Unable to relay for [email protected] --- End of inner exception stack trace --- at System.RuntimeType.InvokeDispMethod(String name, BindingFlags invokeAttr, Object target, Object[] args, Boolean[] byrefModifiers, Int32 culture, String[] namedParameters) at System.RuntimeType.InvokeMember(String name, BindingFlags bindingFlags, Binder binder, Object target, Object[] providedArgs, ParameterModifier[] modifiers, CultureInfo culture, String[] namedParams) at System.Type.InvokeMember(String name, BindingFlags, invokeAttr, Binder binder, Object target, Object[] args, CultureInfo culture) at System.Web.Mail.SmtpMail.LateBoundAccessHelper.CallMethod(Type type, Object obj, String methodName, Object[] args) at System.Web.Mail.SmtpMail.LateBoundAccessHelper.CallMethod(Object obj, String methodName, Object[] args) public static void SendEmail(string _FromEmail, string _ToEmail, string _Subject, string _EmailBody) { // setup email header . SmtpMail.SmtpServer = "127.0.0.1"; MailMessage _MailMessage = new MailMessage(); _MailMessage.From = _FromEmail; _MailMessage.To = _ToEmail; _MailMessage.Subject = _Subject; _MailMessage.Body = _EmailBody; try { SmtpMail.Send(_MailMessage); } catch (Exception ex) { if (ex.InnerException != null) { String str = ex.InnerException.ToString(); } } }

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  • sql server uninstallation issue

    - by angel
    I'm unable to remove SQL Server 2008 sp1 completely from my system. I'm using windows 7 ultimate. Everytime I try uninstalling it i get the following error. How can I remove it? here is the log: Overall summary: Final result: Failed: see details below Exit code (Decimal): -2068643839 Exit facility code: 1203 Exit error code: 1 Exit message: Failed: see details below Start time: 2013-06-24 21:10:38 End time: 2013-06-24 21:21:17 Requested action: Uninstall Log with failure: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20130624_210908\sql_rs_Cpu64_1.log Exception help link: http://go.microsoft.com/fwlink?LinkId=20476&ProdName=Microsoft+SQL+Server&EvtSrc=setup.rll&EvtID=50000&ProdVer=10.0.1600.22 Machine Properties: Machine name: ABHI-PC Machine processor count: 4 OS version: Windows Vista OS service pack: Service Pack 1 OS region: United States OS language: English (United States) OS architecture: x64 Process architecture: 64 Bit OS clustered: No Product features discovered: Product Instance Instance ID Feature Language Edition Version Clustered Sql Server 2008 MSSQLSERVER MSRS10.MSSQLSERVER Reporting Services 1033 Enterprise Edition 10.0.1600.22 No Sql Server 2008 Management Tools - Basic 10.0.1600.22 No Package properties: Description: SQL Server Database Services 2008 SQLProductFamilyCode: {628F8F38-600E-493D-9946-F4178F20A8A9} ProductName: SQL2008 Type: RTM Version: 10 SPLevel: 0 Installation edition: ENTERPRISE User Input Settings: ACTION: Uninstall CONFIGURATIONFILE: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20130624_210908\ConfigurationFile.ini FEATURES: RS,SSMS,SNAC_SDK,CE_RUNTIME,CE_TOOLS,SNAC HELP: False INDICATEPROGRESS: False INSTANCEID: INSTANCENAME: MSSQLSERVER MEDIASOURCE: QUIET: False QUIETSIMPLE: False X86: False Configuration file: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20130624_210908\ConfigurationFile.ini Detailed results: Feature: SQL Client Connectivity Status: Skipped MSI status: Passed Configuration status: Passed Feature: SQL Client Connectivity SDK Status: Skipped MSI status: Passed Configuration status: Passed Feature: Reporting Services Status: Failed: see logs for details MSI status: Passed Configuration status: Failed: see details below Configuration error code: 0xFFD65603 Configuration error description: Input string was not in a correct format. Configuration log: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20130624_210908\Detail.txt Feature: SQL Compact Edition Tools Status: Passed MSI status: Passed Configuration status: Passed Feature: SQL Compact Edition Runtime Status: Skipped MSI status: Passed Configuration status: Passed Feature: Management Tools - Basic Status: Failed: see logs for details MSI status: Passed Configuration status: Passed Rules with failures: Global rules: There are no scenario-specific rules. Rules report file: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20130624_210908\SystemConfigurationCheck_Report.htm

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  • Cisco 7206vxr cpu reducing

    - by naimson
    I have a 7206VXR (NPE-G2) . At the rate of 140 kpps i gain 80% of cpu . So i looking for ways how to reduce it? So i want to turn off netflow(but don't want to this,monitoring is highly important for me), but it will give me only 10-20% ? At this moment with 84kpps i have 58% sh processes cpu sorted give me this. PID Runtime(ms) Invoked uSecs 5Sec 1Min 5Min TTY Process 109 163534600 537236763 304 35.38% 32.83% 16.85% 0 IP Input 67 829396 52280 15864 0.15% 0.01% 0.00% 0 Per-minute Jobs 68 5542736 3053476 1815 0.15% 0.18% 0.16% 0 Per-Second Jobs 51 635852 1116315 569 0.07% 0.03% 0.02% 0 Net Background 329 120396 4607274 26 0.07% 0.00% 0.00% 0 EIGRP-IPv4 Hello 105 50508 95032488 0 0.07% 0.05% 0.05% 0 IPAM Manager 6 4068580 476916 8531 0.00% 0.07% 0.05% 0 Check heaps 7 7768 3634 2137 0.00% 0.00% 0.00% 0 Pool Manager 8 0 1 0 0.00% 0.00% 0.00% 0 DiscardQ Backgro 10 8 708 11 0.00% 0.00% 0.00% 0 WATCH_AFS 5 0 1 0 0.00% 0.00% 0.00% 0 RO Notify Timers 12 0 2 0 0.00% 0.00% 0.00% 0 ATM VC Auto Crea 9 0 2 0 0.00% 0.00% 0.00% 0 Timers 11 0 2 0 0.00% 0.00% 0.00% 0 ATM AutoVC Perio 13 296 610532 0 0.00% 0.00% 0.00% 0 IPC Event Notifi 16 0 1 0 0.00% 0.00% 0.00% 0 IPC Zone Manager 17 3584 2980311 1 0.00% 0.00% 0.00% 0 IPC Periodic Tim 4 0 1 0 0.00% 0.00% 0.00% 0 EDDRI_MAIN 19 0 1 0 0.00% 0.00% 0.00% 0 IPC Process leve 20 0 1 0 0.00% 0.00% 0.00% 0 IPC Seat Manager 21 96 174453 0 0.00% 0.00% 0.00% 0 IPC Check Queue 14 4 50890 0 0.00% 0.00% 0.00% 0 IPC Dynamic Cach 3 0 1 0 0.00% 0.00% 0.00% 0 cpf_process_tpQ 24 756 305371 2 0.00% 0.00% 0.00% 0 IPC Keep Alive M 25 2340 610561 3 0.00% 0.00% 0.00% 0 IPC Loadometer 22 0 1 0 0.00% 0.00% 0.00% 0 IPC Seat RX Cont 15 0 1 0 0.00% 0.00% 0.00% 0 IPC Session Serv 18 1620 2980310 0 0.00% 0.00% 0.00% 0 IPC Deferred Por 29 0 1 0 0.00% 0.00% 0.00% 0 Exception contro sh run(greped): http://pastie.org/5483194 Hardware: c7200p-adventerprisek9-mz.151-4.M1.bin Cisco 7206VXR (NPE-G2) processor (revision A) with 917504K/65536K bytes of memory. Processor board ID 2xxxxxxx MPC7448 CPU at 1666Mhz, Implementation 0, Rev 2.2 6 slot VXR midplane, Version 2.1

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  • Windows OS level file open event trigger

    - by john
    Colleagues, I have need to run a script/program on certain basic OS level events. In particular when a file in Windows is opened. The open may be read-only or to edit, and may be initiated by a number of means, either from windows explorer (open or ), be selected from a viewing or editing application from the native file chooser, or drag-n-drop into an editing or viewing application. Further, i need the trigger to "hold" the event from completing the action until the runtime on the program has completed. The event handler program may return a pass state, or fail state. If fail state has been returned, then the event must disallow the initially requested action. Lastly, I need to add to the file in question a property or attribute that will contain metadata that will be used by the above event trigger handler program to make a determination as to the pass/fail condition that will ultimately determine if the user is permitted to open the file. Please note that this is NOT a windows event log situation, but one at the OS level file open event. thanks very much for your help. regards, j

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  • Can't login to Windows server 2008 (as any user, not even locally, not in safe mode but I have right credentials)

    - by Saix
    Just from nowhere I can't login to my Windows server 2008 machine. All the services like FTP server or webserver (which I'm actually not using, just remote desktop and FTP) are running. Whatever credentials I try (even/especialy administrator), it always says Unknown Username or bad password. I have already tried hard turn off/on and safe mode without luck. Also I already tried type in login name as SERVER NAME\user or Workgroup\user (every case sensitive scenario), still says I have wrong login. Usually we are using remote desktop to access the machine but local access over KVM doesn't work either. Now I'm lock out of any control or any way to do something. There's just logon screen preceding by ctrl+alt+del to login alert. Without me able to login I can't actually try to fix anything. Can't find much more on Internet except the SERVER NAME\user thing. Reinstall would be the last resort but I can't let things this way for much longer anyway. This server is vital. If it would be any help, I think automatic Windows updates are turned off and there were no updates or newly installed software for last couple years and just few soft restarts, non of them recently. It happened during it's runtime while all other services were still up and running, so this couldn't be just some Windows nasty screw up during boot or something. What could have possibly changed? What are my options now?

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  • Problem with hadoop start-dfs.sh

    - by user288501
    I installed and configured hadoop on my Ubuntu 14.04 server, virtualized inside of hyper-v, however I am getting an issue when i run start-dfs.sh root@sUbuntu01:/var/log# start-dfs.sh 14/06/04 15:27:08 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Starting namenodes on [OpenJDK 64-Bit Server VM warning: You have loaded library /usr/local/hadoop/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now. It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'. localhost] sed: -e expression #1, char 6: unknown option to `s' -c: Unknown cipher type 'cd' localhost: Ubuntu 14.04 LTS localhost: starting namenode, logging to /usr/local/hadoop/logs/hadoop-root-namenode-sUbuntu01.out noexecstack'.: ssh: Could not resolve hostname noexecstack'.: Name or service not known '-z: ssh: Could not resolve hostname '-z: Name or service not known 'execstack: ssh: Could not resolve hostname 'execstack: Name or service not known disabled: ssh: Could not resolve hostname disabled: Name or service not known with: ssh: Could not resolve hostname with: Name or service not known have: ssh: Could not resolve hostname have: Name or service not known VM: ssh: Could not resolve hostname vm: Name or service not known stack: ssh: Could not resolve hostname stack: Name or service not known guard: ssh: Could not resolve hostname guard: Name or service not known fix: ssh: Could not resolve hostname fix: Name or service not known VM: ssh: Could not resolve hostname vm: Name or service not known the: ssh: Could not resolve hostname the: Name or service not known to: ssh: Could not resolve hostname to: Name or service not known warning:: ssh: Could not resolve hostname warning:: Name or service not known it: ssh: Could not resolve hostname it: Name or service not known now.: ssh: Could not resolve hostname now.: Name or service not known library: ssh: Could not resolve hostname library: Name or service not known will: ssh: Could not resolve hostname will: Name or service not known link: ssh: Could not resolve hostname link: Name or service not known or: ssh: Could not resolve hostname or: Name or service not known It's: ssh: Could not resolve hostname it's: Name or service not known <libfile>',: ssh: Could not resolve hostname <libfile>',: Name or service not known which: ssh: connect to host which port 22: Connection timed out have: ssh: connect to host have port 22: Connection timed out you: ssh: connect to host you port 22: Connection timed out try: ssh: connect to host try port 22: Connection timed out the: ssh: connect to host the port 22: Connection timed out highly: ssh: connect to host highly port 22: Connection timed out might: ssh: connect to host might port 22: Connection timed out loaded: ssh: connect to host loaded port 22: Connection timed out You: ssh: connect to host you port 22: Connection timed out guard.: ssh: connect to host guard. port 22: Connection timed out library: ssh: connect to host library port 22: Connection timed out Server: ssh: connect to host server port 22: Connection timed out fix: ssh: connect to host fix port 22: Connection timed out The: ssh: connect to host the port 22: Connection timed out recommended: ssh: connect to host recommended port 22: Connection timed out that: ssh: connect to host that port 22: Connection timed out stack: ssh: connect to host stack port 22: Connection timed out OpenJDK: ssh: connect to host openjdk port 22: Connection timed out 64-Bit: ssh: connect to host 64-bit port 22: Connection timed out with: ssh: connect to host with port 22: Connection timed out localhost: Ubuntu 14.04 LTS localhost: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-sUbuntu01.out localhost: OpenJDK 64-Bit Server VM warning: You have loaded library /usr/local/hadoop/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now. localhost: It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'. Starting secondary namenodes [OpenJDK 64-Bit Server VM warning: You have loaded library /usr/local/hadoop/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now. It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'. 0.0.0.0] sed: -e expression #1, char 6: unknown option to `s' warning:: ssh: Could not resolve hostname warning:: Name or service not known -c: Unknown cipher type 'cd' It's: ssh: Could not resolve hostname it's: Name or service not known 'execstack: ssh: Could not resolve hostname 'execstack: Name or service not known '-z: ssh: Could not resolve hostname '-z: Name or service not known 0.0.0.0: Ubuntu 14.04 LTS 0.0.0.0: starting secondarynamenode, logging to /usr/local/hadoop/logs/hadoop-root-secondarynamenode-sUbuntu01.out 0.0.0.0: OpenJDK 64-Bit Server VM warning: You have loaded library /usr/local/hadoop/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now. 0.0.0.0: It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'. noexecstack'.: ssh: Could not resolve hostname noexecstack'.: Name or service not known <libfile>',: ssh: Could not resolve hostname <libfile>',: Name or service not known link: ssh: Could not resolve hostname link: No address associated with hostname it: ssh: Could not resolve hostname it: No address associated with hostname to: ssh: connect to host to port 22: Connection timed out or: ssh: connect to host or port 22: Connection timed out you: ssh: connect to host you port 22: Connection timed out guard.: ssh: connect to host guard. port 22: Connection timed out VM: ssh: connect to host vm port 22: Connection timed out stack: ssh: connect to host stack port 22: Connection timed out library: ssh: connect to host library port 22: Connection timed out Server: ssh: connect to host server port 22: Connection timed out might: ssh: connect to host might port 22: Connection timed out stack: ssh: connect to host stack port 22: Connection timed out You: ssh: connect to host you port 22: Connection timed out now.: ssh: connect to host now. port 22: Connection timed out disabled: ssh: connect to host disabled port 22: Connection timed out have: ssh: connect to host have port 22: Connection timed out will: ssh: connect to host will port 22: Connection timed out The: ssh: connect to host the port 22: Connection timed out have: ssh: connect to host have port 22: Connection timed out try: ssh: connect to host try port 22: Connection timed out the: ssh: connect to host the port 22: Connection timed out guard: ssh: connect to host guard port 22: Connection timed out the: ssh: connect to host the port 22: Connection timed out recommended: ssh: connect to host recommended port 22: Connection timed out with: ssh: connect to host with port 22: Connection timed out library: ssh: connect to host library port 22: Connection timed out 64-Bit: ssh: connect to host 64-bit port 22: Connection timed out fix: ssh: connect to host fix port 22: Connection timed out which: ssh: connect to host which port 22: Connection timed out VM: ssh: connect to host vm port 22: Connection timed out OpenJDK: ssh: connect to host openjdk port 22: Connection timed out fix: ssh: connect to host fix port 22: Connection timed out highly: ssh: connect to host highly port 22: Connection timed out that: ssh: connect to host that port 22: Connection timed out with: ssh: connect to host with port 22: Connection timed out loaded: ssh: connect to host loaded port 22: Connection timed out 14/06/04 15:36:02 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Any advice?

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  • Node.js Adventure - When Node Flying in Wind

    - by Shaun
    In the first post of this series I mentioned some popular modules in the community, such as underscore, async, etc.. I also listed a module named “Wind (zh-CN)”, which is created by one of my friend, Jeff Zhao (zh-CN). Now I would like to use a separated post to introduce this module since I feel it brings a new async programming style in not only Node.js but JavaScript world. If you know or heard about the new feature in C# 5.0 called “async and await”, or you learnt F#, you will find the “Wind” brings the similar async programming experience in JavaScript. By using “Wind”, we can write async code that looks like the sync code. The callbacks, async stats and exceptions will be handled by “Wind” automatically and transparently.   What’s the Problem: Dense “Callback” Phobia Let’s firstly back to my second post in this series. As I mentioned in that post, when we wanted to read some records from SQL Server we need to open the database connection, and then execute the query. In Node.js all IO operation are designed as async callback pattern which means when the operation was done, it will invoke a function which was taken from the last parameter. For example the database connection opening code would be like this. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: } 8: }); And then if we need to query the database the code would be like this. It nested in the previous function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: } 14: }; 15: } 16: }); Assuming if we need to copy some data from this database to another then we need to open another connection and execute the command within the function under the query function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: target.open(targetConnectionString, function(error, t_conn) { 14: if(error) { 15: // connect failed 16: } 17: else { 18: t_conn.queryRaw(copy_command, function(error, results) { 19: if(error) { 20: // copy failed 21: } 22: else { 23: // and then, what do you want to do now... 24: } 25: }; 26: } 27: }; 28: } 29: }; 30: } 31: }); This is just an example. In the real project the logic would be more complicated. This means our application might be messed up and the business process will be fragged by many callback functions. I would like call this “Dense Callback Phobia”. This might be a challenge how to make code straightforward and easy to read, something like below. 1: try 2: { 3: // open source connection 4: var s_conn = sqlConnect(s_connectionString); 5: // retrieve data 6: var results = sqlExecuteCommand(s_conn, s_command); 7: 8: // open target connection 9: var t_conn = sqlConnect(t_connectionString); 10: // prepare the copy command 11: var t_command = getCopyCommand(results); 12: // execute the copy command 13: sqlExecuteCommand(s_conn, t_command); 14: } 15: catch (ex) 16: { 17: // error handling 18: }   What’s the Problem: Sync-styled Async Programming Similar as the previous problem, the callback-styled async programming model makes the upcoming operation as a part of the current operation, and mixed with the error handling code. So it’s very hard to understand what on earth this code will do. And since Node.js utilizes non-blocking IO mode, we cannot invoke those operations one by one, as they will be executed concurrently. For example, in this post when I tried to copy the records from Windows Azure SQL Database (a.k.a. WASD) to Windows Azure Table Storage, if I just insert the data into table storage one by one and then print the “Finished” message, I will see the message shown before the data had been copied. This is because all operations were executed at the same time. In order to make the copy operation and print operation executed synchronously I introduced a module named “async” and the code was changed as below. 1: async.forEach(results.rows, 2: function (row, callback) { 3: var resource = { 4: "PartitionKey": row[1], 5: "RowKey": row[0], 6: "Value": row[2] 7: }; 8: client.insertEntity(tableName, resource, function (error) { 9: if (error) { 10: callback(error); 11: } 12: else { 13: console.log("entity inserted."); 14: callback(null); 15: } 16: }); 17: }, 18: function (error) { 19: if (error) { 20: error["target"] = "insertEntity"; 21: res.send(500, error); 22: } 23: else { 24: console.log("all done."); 25: res.send(200, "Done!"); 26: } 27: }); It ensured that the “Finished” message will be printed when all table entities had been inserted. But it cannot promise that the records will be inserted in sequence. It might be another challenge to make the code looks like in sync-style? 1: try 2: { 3: forEach(row in rows) { 4: var entity = { /* ... */ }; 5: tableClient.insert(tableName, entity); 6: } 7:  8: console.log("Finished"); 9: } 10: catch (ex) { 11: console.log(ex); 12: }   How “Wind” Helps “Wind” is a JavaScript library which provides the control flow with plain JavaScript for asynchronous programming (and more) without additional pre-compiling steps. It’s available in NPM so that we can install it through “npm install wind”. Now let’s create a very simple Node.js application as the example. This application will take some website URLs from the command arguments and tried to retrieve the body length and print them in console. Then at the end print “Finish”. I’m going to use “request” module to make the HTTP call simple so I also need to install by the command “npm install request”. The code would be like this. 1: var request = require("request"); 2:  3: // get the urls from arguments, the first two arguments are `node.exe` and `fetch.js` 4: var args = process.argv.splice(2); 5:  6: // main function 7: var main = function() { 8: for(var i = 0; i < args.length; i++) { 9: // get the url 10: var url = args[i]; 11: // send the http request and try to get the response and body 12: request(url, function(error, response, body) { 13: if(!error && response.statusCode == 200) { 14: // log the url and the body length 15: console.log( 16: "%s: %d.", 17: response.request.uri.href, 18: body.length); 19: } 20: else { 21: // log error 22: console.log(error); 23: } 24: }); 25: } 26: 27: // finished 28: console.log("Finished"); 29: }; 30:  31: // execute the main function 32: main(); Let’s execute this application. (I made them in multi-lines for better reading.) 1: node fetch.js 2: "http://www.igt.com/us-en.aspx" 3: "http://www.igt.com/us-en/games.aspx" 4: "http://www.igt.com/us-en/cabinets.aspx" 5: "http://www.igt.com/us-en/systems.aspx" 6: "http://www.igt.com/us-en/interactive.aspx" 7: "http://www.igt.com/us-en/social-gaming.aspx" 8: "http://www.igt.com/support.aspx" Below is the output. As you can see the finish message was printed at the beginning, and the pages’ length retrieved in a different order than we specified. This is because in this code the request command, console logging command are executed asynchronously and concurrently. Now let’s introduce “Wind” to make them executed in order, which means it will request the websites one by one, and print the message at the end.   First of all we need to import the “Wind” package and make sure the there’s only one global variant named “Wind”, and ensure it’s “Wind” instead of “wind”. 1: var Wind = require("wind");   Next, we need to tell “Wind” which code will be executed asynchronously so that “Wind” can control the execution process. In this case the “request” operation executed asynchronously so we will create a “Task” by using a build-in helps function in “Wind” named Wind.Async.Task.create. 1: var requestBodyLengthAsync = function(url) { 2: return Wind.Async.Task.create(function(t) { 3: request(url, function(error, response, body) { 4: if(error || response.statusCode != 200) { 5: t.complete("failure", error); 6: } 7: else { 8: var data = 9: { 10: uri: response.request.uri.href, 11: length: body.length 12: }; 13: t.complete("success", data); 14: } 15: }); 16: }); 17: }; The code above created a “Task” from the original request calling code. In “Wind” a “Task” means an operation will be finished in some time in the future. A “Task” can be started by invoke its start() method, but no one knows when it actually will be finished. The Wind.Async.Task.create helped us to create a task. The only parameter is a function where we can put the actual operation in, and then notify the task object it’s finished successfully or failed by using the complete() method. In the code above I invoked the request method. If it retrieved the response successfully I set the status of this task as “success” with the URL and body length. If it failed I set this task as “failure” and pass the error out.   Next, we will change the main() function. In “Wind” if we want a function can be controlled by Wind we need to mark it as “async”. This should be done by using the code below. 1: var main = eval(Wind.compile("async", function() { 2: })); When the application is running, Wind will detect “eval(Wind.compile(“async”, function” and generate an anonymous code from the body of this original function. Then the application will run the anonymous code instead of the original one. In our example the main function will be like this. 1: var main = eval(Wind.compile("async", function() { 2: for(var i = 0; i < args.length; i++) { 3: try 4: { 5: var result = $await(requestBodyLengthAsync(args[i])); 6: console.log( 7: "%s: %d.", 8: result.uri, 9: result.length); 10: } 11: catch (ex) { 12: console.log(ex); 13: } 14: } 15: 16: console.log("Finished"); 17: })); As you can see, when I tried to request the URL I use a new command named “$await”. It tells Wind, the operation next to $await will be executed asynchronously, and the main thread should be paused until it finished (or failed). So in this case, my application will be pause when the first response was received, and then print its body length, then try the next one. At the end, print the finish message.   Finally, execute the main function. The full code would be like this. 1: var request = require("request"); 2: var Wind = require("wind"); 3:  4: var args = process.argv.splice(2); 5:  6: var requestBodyLengthAsync = function(url) { 7: return Wind.Async.Task.create(function(t) { 8: request(url, function(error, response, body) { 9: if(error || response.statusCode != 200) { 10: t.complete("failure", error); 11: } 12: else { 13: var data = 14: { 15: uri: response.request.uri.href, 16: length: body.length 17: }; 18: t.complete("success", data); 19: } 20: }); 21: }); 22: }; 23:  24: var main = eval(Wind.compile("async", function() { 25: for(var i = 0; i < args.length; i++) { 26: try 27: { 28: var result = $await(requestBodyLengthAsync(args[i])); 29: console.log( 30: "%s: %d.", 31: result.uri, 32: result.length); 33: } 34: catch (ex) { 35: console.log(ex); 36: } 37: } 38: 39: console.log("Finished"); 40: })); 41:  42: main().start();   Run our new application. At the beginning we will see the compiled and generated code by Wind. Then we can see the pages were requested one by one, and at the end the finish message was printed. Below is the code Wind generated for us. As you can see the original code, the output code were shown. 1: // Original: 2: function () { 3: for(var i = 0; i < args.length; i++) { 4: try 5: { 6: var result = $await(requestBodyLengthAsync(args[i])); 7: console.log( 8: "%s: %d.", 9: result.uri, 10: result.length); 11: } 12: catch (ex) { 13: console.log(ex); 14: } 15: } 16: 17: console.log("Finished"); 18: } 19:  20: // Compiled: 21: /* async << function () { */ (function () { 22: var _builder_$0 = Wind.builders["async"]; 23: return _builder_$0.Start(this, 24: _builder_$0.Combine( 25: _builder_$0.Delay(function () { 26: /* var i = 0; */ var i = 0; 27: /* for ( */ return _builder_$0.For(function () { 28: /* ; i < args.length */ return i < args.length; 29: }, function () { 30: /* ; i ++) { */ i ++; 31: }, 32: /* try { */ _builder_$0.Try( 33: _builder_$0.Delay(function () { 34: /* var result = $await(requestBodyLengthAsync(args[i])); */ return _builder_$0.Bind(requestBodyLengthAsync(args[i]), function (result) { 35: /* console.log("%s: %d.", result.uri, result.length); */ console.log("%s: %d.", result.uri, result.length); 36: return _builder_$0.Normal(); 37: }); 38: }), 39: /* } catch (ex) { */ function (ex) { 40: /* console.log(ex); */ console.log(ex); 41: return _builder_$0.Normal(); 42: /* } */ }, 43: null 44: ) 45: /* } */ ); 46: }), 47: _builder_$0.Delay(function () { 48: /* console.log("Finished"); */ console.log("Finished"); 49: return _builder_$0.Normal(); 50: }) 51: ) 52: ); 53: /* } */ })   How Wind Works Someone may raise a big concern when you find I utilized “eval” in my code. Someone may assume that Wind utilizes “eval” to execute some code dynamically while “eval” is very low performance. But I would say, Wind does NOT use “eval” to run the code. It only use “eval” as a flag to know which code should be compiled at runtime. When the code was firstly been executed, Wind will check and find “eval(Wind.compile(“async”, function”. So that it knows this function should be compiled. Then it utilized parse-js to analyze the inner JavaScript and generated the anonymous code in memory. Then it rewrite the original code so that when the application was running it will use the anonymous one instead of the original one. Since the code generation was done at the beginning of the application was started, in the future no matter how long our application runs and how many times the async function was invoked, it will use the generated code, no need to generate again. So there’s no significant performance hurt when using Wind.   Wind in My Previous Demo Let’s adopt Wind into one of my previous demonstration and to see how it helps us to make our code simple, straightforward and easy to read and understand. In this post when I implemented the functionality that copied the records from my WASD to table storage, the logic would be like this. 1, Open database connection. 2, Execute a query to select all records from the table. 3, Recreate the table in Windows Azure table storage. 4, Create entities from each of the records retrieved previously, and then insert them into table storage. 5, Finally, show message as the HTTP response. But as the image below, since there are so many callbacks and async operations, it’s very hard to understand my logic from the code. Now let’s use Wind to rewrite our code. First of all, of course, we need the Wind package. Then we need to include the package files into project and mark them as “Copy always”. Add the Wind package into the source code. Pay attention to the variant name, you must use “Wind” instead of “wind”. 1: var express = require("express"); 2: var async = require("async"); 3: var sql = require("node-sqlserver"); 4: var azure = require("azure"); 5: var Wind = require("wind"); Now we need to create some async functions by using Wind. All async functions should be wrapped so that it can be controlled by Wind which are open database, retrieve records, recreate table (delete and create) and insert entity in table. Below are these new functions. All of them are created by using Wind.Async.Task.create. 1: sql.openAsync = function (connectionString) { 2: return Wind.Async.Task.create(function (t) { 3: sql.open(connectionString, function (error, conn) { 4: if (error) { 5: t.complete("failure", error); 6: } 7: else { 8: t.complete("success", conn); 9: } 10: }); 11: }); 12: }; 13:  14: sql.queryAsync = function (conn, query) { 15: return Wind.Async.Task.create(function (t) { 16: conn.queryRaw(query, function (error, results) { 17: if (error) { 18: t.complete("failure", error); 19: } 20: else { 21: t.complete("success", results); 22: } 23: }); 24: }); 25: }; 26:  27: azure.recreateTableAsync = function (tableName) { 28: return Wind.Async.Task.create(function (t) { 29: client.deleteTable(tableName, function (error, successful, response) { 30: console.log("delete table finished"); 31: client.createTableIfNotExists(tableName, function (error, successful, response) { 32: console.log("create table finished"); 33: if (error) { 34: t.complete("failure", error); 35: } 36: else { 37: t.complete("success", null); 38: } 39: }); 40: }); 41: }); 42: }; 43:  44: azure.insertEntityAsync = function (tableName, entity) { 45: return Wind.Async.Task.create(function (t) { 46: client.insertEntity(tableName, entity, function (error, entity, response) { 47: if (error) { 48: t.complete("failure", error); 49: } 50: else { 51: t.complete("success", null); 52: } 53: }); 54: }); 55: }; Then in order to use these functions we will create a new function which contains all steps for data copying. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: } 4: catch (ex) { 5: console.log(ex); 6: res.send(500, "Internal error."); 7: } 8: })); Let’s execute steps one by one with the “$await” keyword introduced by Wind so that it will be invoked in sequence. First is to open the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: } 7: catch (ex) { 8: console.log(ex); 9: res.send(500, "Internal error."); 10: } 11: })); Then retrieve all records from the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: } 10: catch (ex) { 11: console.log(ex); 12: res.send(500, "Internal error."); 13: } 14: })); After recreated the table, we need to create the entities and insert them into table storage. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: } 24: } 25: catch (ex) { 26: console.log(ex); 27: res.send(500, "Internal error."); 28: } 29: })); Finally, send response back to the browser. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: // send response 24: console.log("all done"); 25: res.send(200, "All done!"); 26: } 27: } 28: catch (ex) { 29: console.log(ex); 30: res.send(500, "Internal error."); 31: } 32: })); If we compared with the previous code we will find now it became more readable and much easy to understand. It’s very easy to know what this function does even though without any comments. When user go to URL “/was/copyRecords” we will execute the function above. The code would be like this. 1: app.get("/was/copyRecords", function (req, res) { 2: copyRecords(req, res).start(); 3: }); And below is the logs printed in local compute emulator console. As we can see the functions executed one by one and then finally the response back to me browser.   Scaffold Functions in Wind Wind provides not only the async flow control and compile functions, but many scaffold methods as well. We can build our async code more easily by using them. I’m going to introduce some basic scaffold functions here. In the code above I created some functions which wrapped from the original async function such as open database, create table, etc.. All of them are very similar, created a task by using Wind.Async.Task.create, return error or result object through Task.complete function. In fact, Wind provides some functions for us to create task object from the original async functions. If the original async function only has a callback parameter, we can use Wind.Async.Binding.fromCallback method to get the task object directly. For example the code below returned the task object which wrapped the file exist check function. 1: var Wind = require("wind"); 2: var fs = require("fs"); 3:  4: fs.existsAsync = Wind.Async.Binding.fromCallback(fs.exists); In Node.js a very popular async function pattern is that, the first parameter in the callback function represent the error object, and the other parameters is the return values. In this case we can use another build-in function in Wind named Wind.Async.Binding.fromStandard. For example, the open database function can be created from the code below. 1: sql.openAsync = Wind.Async.Binding.fromStandard(sql.open); 2:  3: /* 4: sql.openAsync = function (connectionString) { 5: return Wind.Async.Task.create(function (t) { 6: sql.open(connectionString, function (error, conn) { 7: if (error) { 8: t.complete("failure", error); 9: } 10: else { 11: t.complete("success", conn); 12: } 13: }); 14: }); 15: }; 16: */ When I was testing the scaffold functions under Wind.Async.Binding I found for some functions, such as the Azure SDK insert entity function, cannot be processed correctly. So I personally suggest writing the wrapped method manually.   Another scaffold method in Wind is the parallel tasks coordination. In this example, the steps of open database, retrieve records and recreated table should be invoked one by one, but it can be executed in parallel when copying data from database to table storage. In Wind there’s a scaffold function named Task.whenAll which can be used here. Task.whenAll accepts a list of tasks and creates a new task. It will be returned only when all tasks had been completed, or any errors occurred. For example in the code below I used the Task.whenAll to make all copy operation executed at the same time. 1: var copyRecordsInParallel = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage in parallal 14: var tasks = new Array(results.rows.length); 15: for (var i = 0; i < results.rows.length; i++) { 16: var entity = { 17: "PartitionKey": results.rows[i][1], 18: "RowKey": results.rows[i][0], 19: "Value": results.rows[i][2] 20: }; 21: tasks[i] = azure.insertEntityAsync(tableName, entity); 22: } 23: $await(Wind.Async.Task.whenAll(tasks)); 24: // send response 25: console.log("all done"); 26: res.send(200, "All done!"); 27: } 28: } 29: catch (ex) { 30: console.log(ex); 31: res.send(500, "Internal error."); 32: } 33: })); 34:  35: app.get("/was/copyRecordsInParallel", function (req, res) { 36: copyRecordsInParallel(req, res).start(); 37: });   Besides the task creation and coordination, Wind supports the cancellation solution so that we can send the cancellation signal to the tasks. It also includes exception solution which means any exceptions will be reported to the caller function.   Summary In this post I introduced a Node.js module named Wind, which created by my friend Jeff Zhao. As you can see, different from other async library and framework, adopted the idea from F# and C#, Wind utilizes runtime code generation technology to make it more easily to write async, callback-based functions in a sync-style way. By using Wind there will be almost no callback, and the code will be very easy to understand. Currently Wind is still under developed and improved. There might be some problems but the author, Jeff, should be very happy and enthusiastic to learn your problems, feedback, suggestion and comments. You can contact Jeff by - Email: [email protected] - Group: https://groups.google.com/d/forum/windjs - GitHub: https://github.com/JeffreyZhao/wind/issues   Source code can be download here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • Twitter traffic might not be what it seems

    - by Piet
    Are you using bit.ly stats to measure interest in the links you post on twitter? I’ve been hearing for a while about people claiming to get the majority of their traffic originating from twitter these days. Now, I’ve been playing with the twitter ruby gem recently, doing various experiments which I’ll not go into detail here because they could be regarded as spamming… if I’d conduct them on a large scale, that is. It’s scary to see people actually engaging with @replies crafted with some regular expressions and eliza-like trickery on status updates found using the twitter api. I’m wondering how Twitter is going to contain the coming spam-flood. When posting links I used bit.ly as url shortener, since this one seems to be the de-facto standard on twitter. A nice thing about bit.ly is that it shows some basic stats about the redirects it performs for your shortened links. To my surprise, most links posted almost immediately resulted in several visitors. Now, seeing that I was posting the links together with some information concerning what the link is about, I concluded that the people who were actually clicking the links should be very targeted visitors. This felt a bit like free adwords, and I suddenly started to understand why everyone was raving about getting traffic from twitter. How wrong I was! (and I think several 1000 online marketers with me) On the destination site I used a traffic logging solution that works by including a little javascript snippet in your pages. It seemed that somehow all visitors disappeared after the bit.ly redirect and before getting to the site, because I was hardly seeing any visitors there. So I started investigating what was happening: by looking at the logfiles of the destination site, and by making my own ’shortened’ urls by doing redirects using a very short domain name I own. This way, I could check the apache access_log before the redirects. Most user agents turned out to be bots without a doubt. Here’s an excerpt of user-agents awk’ed from apache’s access_log for a time period of about one hour, right after posting some links: AideRSS 2.0 (postrank.com) Java/1.6.0_13 Java/1.6.0_14 libwww-perl/5.816 MLBot (www.metadatalabs.com/mlbot) Mozilla/4.0 (compatible;MSIE 5.01; Windows -NT 5.0 - real-url.org) Mozilla/5.0 (compatible; Twitturls; +http://twitturls.com) Mozilla/5.0 (compatible; Viralheat Bot/1.0; +http://www.viralheat.com/) Mozilla/5.0 (Danger hiptop 4.6; U; rv:1.7.12) Gecko/20050920 Mozilla/5.0 (X11; U; Linux i686; en-us; rv:1.9.0.2) Gecko/2008092313 Ubuntu/9.04 (jaunty) Firefox/3.5 OpenCalaisSemanticProxy PycURL/7.18.2 PycURL/7.19.3 Python-urllib/1.17 Twingly Recon twitmatic Twitturly / v0.6 Wget/1.10.2 (Red Hat modified) Wget/1.11.1 (Red Hat modified) Of the few user-agents that seem ‘real’ at first, half are originating from an ip-address used by Amazon EC2. And I doubt people are setting op proxies on there. Oh yeah, Googlebot (the real deal, from a legit google owned address) is sucking up posted links like fresh oysters. I guess google is trying to make sure in advance to never be beaten by twitter in the ‘realtime search’ department. Actually, I think it’d be almost stupid NOT to post any new pages/posts/websites on Twitter, it must be one of the fastest ways to get a Googlebot visit. Same experiment with a real, established twitter account Now, because I was posting the url’s either as ’status’ messages or directed @people, on a test-account with hardly any (human) followers, I checked again using the twitter accounts from a commercial site I’m involved with. These accounts all have between 500 and 1000 targeted (I think) followers. I checked the destination access_logs and also added ‘my’ redirect after the bit.ly redirect: same results, although seemingly a bit higher real visitor/bot ratio. Btw: one of these account was ‘punished’ with a 1 week lock recently because the same (1 one!) status update was sent that was sent right before using another account. They got an email explaining the lock because the account didn’t act according to their TOS. I can’t find anything in their TOS about it, can you? I don’t think Twitter is on the right track punishing a legit account, knowing the trickery I had been doing with it’s api went totally unpunished. I might be wrong though, I often am. On the other hand: this commercial site reported targeted traffic and actual signups from visitors coming from Twitter. The ones that are really real visitors are also very targeted. I’m just not sure if the amount of work involved could hold up against an adwords campaign. Reposting the same link over and over again helps On thing I noticed: It helps to keep on reposting the same links with regular intervals. I guess most people only look at their first page when checking out recent posts of the ones they’re following, or don’t look too far back when performing a search. Now, this probably isn’t according to the twitter TOS. Actually, it might be spamming but no-one is obligated to follow anyone else of course. This way, I was getting more real visitors and less bots. To my surprise (when my programmer’s hat is on) there were still repeated visits from the same bots coming from the same ip-addresses. Did they expect to find something else when visiting for a 2nd or 3rd time? (actually,this gave me an idea: you can’t change a link once it’s posted, but you can change where it redirects to) Most bots were smart enough not to follow the same link again though. Are you successful in getting real visitors from Twitter? Are you only relying on bit.ly to provide traffic stats?

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  • Windows Azure: Import/Export Hard Drives, VM ACLs, Web Sockets, Remote Debugging, Continuous Delivery, New Relic, Billing Alerts and More

    - by ScottGu
    Two weeks ago we released a giant set of improvements to Windows Azure, as well as a significant update of the Windows Azure SDK. This morning we released another massive set of enhancements to Windows Azure.  Today’s new capabilities include: Storage: Import/Export Hard Disk Drives to your Storage Accounts HDInsight: General Availability of our Hadoop Service in the cloud Virtual Machines: New VM Gallery, ACL support for VIPs Web Sites: WebSocket and Remote Debugging Support Notification Hubs: Segmented customer push notification support with tag expressions TFS & GIT: Continuous Delivery Support for Web Sites + Cloud Services Developer Analytics: New Relic support for Web Sites + Mobile Services Service Bus: Support for partitioned queues and topics Billing: New Billing Alert Service that sends emails notifications when your bill hits a threshold you define All of these improvements are now available to use immediately (note that some features are still in preview).  Below are more details about them. Storage: Import/Export Hard Disk Drives to Windows Azure I am excited to announce the preview of our new Windows Azure Import/Export Service! The Windows Azure Import/Export Service enables you to move large amounts of on-premises data into and out of your Windows Azure Storage accounts. It does this by enabling you to securely ship hard disk drives directly to our Windows Azure data centers. Once we receive the drives we’ll automatically transfer the data to or from your Windows Azure Storage account.  This enables you to import or export massive amounts of data more quickly and cost effectively (and not be constrained by available network bandwidth). Encrypted Transport Our Import/Export service provides built-in support for BitLocker disk encryption – which enables you to securely encrypt data on the hard drives before you send it, and not have to worry about it being compromised even if the disk is lost/stolen in transit (since the content on the transported hard drives is completely encrypted and you are the only one who has the key to it).  The drive preparation tool we are shipping today makes setting up bitlocker encryption on these hard drives easy. How to Import/Export your first Hard Drive of Data You can read our Getting Started Guide to learn more about how to begin using the import/export service.  You can create import and export jobs via the Windows Azure Management Portal as well as programmatically using our Server Management APIs. It is really easy to create a new import or export job using the Windows Azure Management Portal.  Simply navigate to a Windows Azure storage account, and then click the new Import/Export tab now available within it (note: if you don’t have this tab make sure to sign-up for the Import/Export preview): Then click the “Create Import Job” or “Create Export Job” commands at the bottom of it.  This will launch a wizard that easily walks you through the steps required: For more comprehensive information about Import/Export, refer to Windows Azure Storage team blog.  You can also send questions and comments to the [email protected] email address. We think you’ll find this new service makes it much easier to move data into and out of Windows Azure, and it will dramatically cut down the network bandwidth required when working on large data migration projects.  We hope you like it. HDInsight: 100% Compatible Hadoop Service in the Cloud Last week we announced the general availability release of Windows Azure HDInsight. HDInsight is a 100% compatible Hadoop service that allows you to easily provision and manage Hadoop clusters for big data processing in Windows Azure.  This release is now live in production, backed by an enterprise SLA, supported 24x7 by Microsoft Support, and is ready to use for production scenarios. HDInsight allows you to use Apache Hadoop tools, such as Pig and Hive, to process large amounts of data in Windows Azure Blob Storage. Because data is stored in Windows Azure Blob Storage, you can choose to dynamically create Hadoop clusters only when you need them, and then shut them down when they are no longer required (since you pay only for the time the Hadoop cluster instances are running this provides a super cost effective way to use them).  You can create Hadoop clusters using either the Windows Azure Management Portal (see below) or using our PowerShell and Cross Platform Command line tools: The import/export hard drive support that came out today is a perfect companion service to use with HDInsight – the combination allows you to easily ingest, process and optionally export a limitless amount of data.  We’ve also integrated HDInsight with our Business Intelligence tools, so users can leverage familiar tools like Excel in order to analyze the output of jobs.  You can find out more about how to get started with HDInsight here. Virtual Machines: VM Gallery Enhancements Today’s update of Windows Azure brings with it a new Virtual Machine gallery that you can use to create new VMs in the cloud.  You can launch the gallery by doing New->Compute->Virtual Machine->From Gallery within the Windows Azure Management Portal: The new Virtual Machine Gallery includes some nice enhancements that make it even easier to use: Search: You can now easily search and filter images using the search box in the top-right of the dialog.  For example, simply type “SQL” and we’ll filter to show those images in the gallery that contain that substring. Category Tree-view: Each month we add more built-in VM images to the gallery.  You can continue to browse these using the “All” view within the VM Gallery – or now quickly filter them using the category tree-view on the left-hand side of the dialog.  For example, by selecting “Oracle” in the tree-view you can now quickly filter to see the official Oracle supplied images. MSDN and Supported checkboxes: With today’s update we are also introducing filters that makes it easy to filter out types of images that you may not be interested in. The first checkbox is MSDN: using this filter you can exclude any image that is not part of the Windows Azure benefits for MSDN subscribers (which have highly discounted pricing - you can learn more about the MSDN pricing here). The second checkbox is Supported: this filter will exclude any image that contains prerelease software, so you can feel confident that the software you choose to deploy is fully supported by Windows Azure and our partners. Sort options: We sort gallery images by what we think customers are most interested in, but sometimes you might want to sort using different views. So we’re providing some additional sort options, like “Newest,” to customize the image list for what suits you best. Pricing information: We now provide additional pricing information about images and options on how to cost effectively run them directly within the VM Gallery. The above improvements make it even easier to use the VM Gallery and quickly create launch and run Virtual Machines in the cloud. Virtual Machines: ACL Support for VIPs A few months ago we exposed the ability to configure Access Control Lists (ACLs) for Virtual Machines using Windows PowerShell cmdlets and our Service Management API. With today’s release, you can now configure VM ACLs using the Windows Azure Management Portal as well. You can now do this by clicking the new Manage ACL command in the Endpoints tab of a virtual machine instance: This will enable you to configure an ordered list of permit and deny rules to scope the traffic that can access your VM’s network endpoints. For example, if you were on a virtual network, you could limit RDP access to a Windows Azure virtual machine to only a few computers attached to your enterprise. Or if you weren’t on a virtual network you could alternatively limit traffic from public IPs that can access your workloads: Here is the default behaviors for ACLs in Windows Azure: By default (i.e. no rules specified), all traffic is permitted. When using only Permit rules, all other traffic is denied. When using only Deny rules, all other traffic is permitted. When there is a combination of Permit and Deny rules, all other traffic is denied. Lastly, remember that configuring endpoints does not automatically configure them within the VM if it also has firewall rules enabled at the OS level.  So if you create an endpoint using the Windows Azure Management Portal, Windows PowerShell, or REST API, be sure to also configure your guest VM firewall appropriately as well. Web Sites: Web Sockets Support With today’s release you can now use Web Sockets with Windows Azure Web Sites.  This feature enables you to easily integrate real-time communication scenarios within your web based applications, and is available at no extra charge (it even works with the free tier).  Higher level programming libraries like SignalR and socket.io are also now supported with it. You can enable Web Sockets support on a web site by navigating to the Configure tab of a Web Site, and by toggling Web Sockets support to “on”: Once Web Sockets is enabled you can start to integrate some really cool scenarios into your web applications.  Check out the new SignalR documentation hub on www.asp.net to learn more about some of the awesome scenarios you can do with it. Web Sites: Remote Debugging Support The Windows Azure SDK 2.2 we released two weeks ago introduced remote debugging support for Windows Azure Cloud Services. With today’s Windows Azure release we are extending this remote debugging support to also work with Windows Azure Web Sites. With live, remote debugging support inside of Visual Studio, you are able to have more visibility than ever before into how your code is operating live in Windows Azure. It is now super easy to attach the debugger and quickly see what is going on with your application in the cloud. Remote Debugging of a Windows Azure Web Site using VS 2013 Enabling the remote debugging of a Windows Azure Web Site using VS 2013 is really easy.  Start by opening up your web application’s project within Visual Studio. Then navigate to the “Server Explorer” tab within Visual Studio, and click on the deployed web-site you want to debug that is running within Windows Azure using the Windows Azure->Web Sites node in the Server Explorer.  Then right-click and choose the “Attach Debugger” option on it: When you do this Visual Studio will remotely attach the debugger to the Web Site running within Windows Azure.  The debugger will then stop the web site’s execution when it hits any break points that you have set within your web application’s project inside Visual Studio.  For example, below I set a breakpoint on the “ViewBag.Message” assignment statement within the HomeController of the standard ASP.NET MVC project template.  When I hit refresh on the “About” page of the web site within the browser, the breakpoint was triggered and I am now able to debug the app remotely using Visual Studio: Note above how we can debug variables (including autos/watchlist/etc), as well as use the Immediate and Command Windows. In the debug session above I used the Immediate Window to explore some of the request object state, as well as to dynamically change the ViewBag.Message property.  When we click the the “Continue” button (or press F5) the app will continue execution and the Web Site will render the content back to the browser.  This makes it super easy to debug web apps remotely. Tips for Better Debugging To get the best experience while debugging, we recommend publishing your site using the Debug configuration within Visual Studio’s Web Publish dialog. This will ensure that debug symbol information is uploaded to the Web Site which will enable a richer debug experience within Visual Studio.  You can find this option on the Web Publish dialog on the Settings tab: When you ultimately deploy/run the application in production we recommend using the “Release” configuration setting – the release configuration is memory optimized and will provide the best production performance.  To learn more about diagnosing and debugging Windows Azure Web Sites read our new Troubleshooting Windows Azure Web Sites in Visual Studio guide. Notification Hubs: Segmented Push Notification support with tag expressions In August we announced the General Availability of Windows Azure Notification Hubs - a powerful Mobile Push Notifications service that makes it easy to send high volume push notifications with low latency from any mobile app back-end.  Notification hubs can be used with any mobile app back-end (including ones built using our Mobile Services capability) and can also be used with back-ends that run in the cloud as well as on-premises. Beginning with the initial release, Notification Hubs allowed developers to send personalized push notifications to both individual users as well as groups of users by interest, by associating their devices with tags representing the logical target of the notification. For example, by registering all devices of customers interested in a favorite MLB team with a corresponding tag, it is possible to broadcast one message to millions of Boston Red Sox fans and another message to millions of St. Louis Cardinals fans with a single API call respectively. New support for using tag expressions to enable advanced customer segmentation With today’s release we are adding support for even more advanced customer targeting.  You can now identify customers that you want to send push notifications to by defining rich tag expressions. With tag expressions, you can now not only broadcast notifications to Boston Red Sox fans, but take that segmenting a step farther and reach more granular segments. This opens up a variety of scenarios, for example: Offers based on multiple preferences—e.g. send a game day vegetarian special to users tagged as both a Boston Red Sox fan AND a vegetarian Push content to multiple segments in a single message—e.g. rain delay information only to users who are tagged as either a Boston Red Sox fan OR a St. Louis Cardinal fan Avoid presenting subsets of a segment with irrelevant content—e.g. season ticket availability reminder to users who are tagged as a Boston Red Sox fan but NOT also a season ticket holder To illustrate with code, consider a restaurant chain app that sends an offer related to a Red Sox vs Cardinals game for users in Boston. Devices can be tagged by your app with location tags (e.g. “Loc:Boston”) and interest tags (e.g. “Follows:RedSox”, “Follows:Cardinals”), and then a notification can be sent by your back-end to “(Follows:RedSox || Follows:Cardinals) && Loc:Boston” in order to deliver an offer to all devices in Boston that follow either the RedSox or the Cardinals. This can be done directly in your server backend send logic using the code below: var notification = new WindowsNotification(messagePayload); hub.SendNotificationAsync(notification, "(Follows:RedSox || Follows:Cardinals) && Loc:Boston"); In your expressions you can use all Boolean operators: AND (&&), OR (||), and NOT (!).  Some other cool use cases for tag expressions that are now supported include: Social: To “all my group except me” - group:id && !user:id Events: Touchdown event is sent to everybody following either team or any of the players involved in the action: Followteam:A || Followteam:B || followplayer:1 || followplayer:2 … Hours: Send notifications at specific times. E.g. Tag devices with time zone and when it is 12pm in Seattle send to: GMT8 && follows:thaifood Versions and platforms: Send a reminder to people still using your first version for Android - version:1.0 && platform:Android For help on getting started with Notification Hubs, visit the Notification Hub documentation center.  Then download the latest NuGet package (or use the Notification Hubs REST APIs directly) to start sending push notifications using tag expressions.  They are really powerful and enable a bunch of great new scenarios. TFS & GIT: Continuous Delivery Support for Web Sites + Cloud Services With today’s Windows Azure release we are making it really easy to enable continuous delivery support with Windows Azure and Team Foundation Services.  Team Foundation Services is a cloud based offering from Microsoft that provides integrated source control (with both TFS and Git support), build server, test execution, collaboration tools, and agile planning support.  It makes it really easy to setup a team project (complete with automated builds and test runners) in the cloud, and it has really rich integration with Visual Studio. With today’s Windows Azure release it is now really easy to enable continuous delivery support with both TFS and Git based repositories hosted using Team Foundation Services.  This enables a workflow where when code is checked in, built successfully on an automated build server, and all tests pass on it – I can automatically have the app deployed on Windows Azure with zero manual intervention or work required. The below screen-shots demonstrate how to quickly setup a continuous delivery workflow to Windows Azure with a Git-based ASP.NET MVC project hosted using Team Foundation Services. Enabling Continuous Delivery to Windows Azure with Team Foundation Services The project I’m going to enable continuous delivery with is a simple ASP.NET MVC project whose source code I’m hosting using Team Foundation Services.  I did this by creating a “SimpleContinuousDeploymentTest” repository there using Git – and then used the new built-in Git tooling support within Visual Studio 2013 to push the source code to it.  Below is a screen-shot of the Git repository hosted within Team Foundation Services: I can access the repository within Visual Studio 2013 and easily make commits with it (as well as branch, merge and do other tasks).  Using VS 2013 I can also setup automated builds to take place in the cloud using Team Foundation Services every time someone checks in code to the repository: The cool thing about this is that I don’t have to buy or rent my own build server – Team Foundation Services automatically maintains its own build server farm and can automatically queue up a build for me (for free) every time someone checks in code using the above settings.  This build server (and automated testing) support now works with both TFS and Git based source control repositories. Connecting a Team Foundation Services project to Windows Azure Once I have a source repository hosted in Team Foundation Services with Automated Builds and Testing set up, I can then go even further and set it up so that it will be automatically deployed to Windows Azure when a source code commit is made to the repository (assuming the Build + Tests pass).  Enabling this is now really easy.  To set this up with a Windows Azure Web Site simply use the New->Compute->Web Site->Custom Create command inside the Windows Azure Management Portal.  This will create a dialog like below.  I gave the web site a name and then made sure the “Publish from source control” checkbox was selected: When we click next we’ll be prompted for the location of the source repository.  We’ll select “Team Foundation Services”: Once we do this we’ll be prompted for our Team Foundation Services account that our source repository is hosted under (in this case my TFS account is “scottguthrie”): When we click the “Authorize Now” button we’ll be prompted to give Windows Azure permissions to connect to the Team Foundation Services account.  Once we do this we’ll be prompted to pick the source repository we want to connect to.  Starting with today’s Windows Azure release you can now connect to both TFS and Git based source repositories.  This new support allows me to connect to the “SimpleContinuousDeploymentTest” respository we created earlier: Clicking the finish button will then create the Web Site with the continuous delivery hooks setup with Team Foundation Services.  Now every time someone pushes source control to the repository in Team Foundation Services, it will kick off an automated build, run all of the unit tests in the solution , and if they pass the app will be automatically deployed to our Web Site in Windows Azure.  You can monitor the history and status of these automated deployments using the Deployments tab within the Web Site: This enables a really slick continuous delivery workflow, and enables you to build and deploy apps in a really nice way. Developer Analytics: New Relic support for Web Sites + Mobile Services With today’s Windows Azure release we are making it really easy to enable Developer Analytics and Monitoring support with both Windows Azure Web Site and Windows Azure Mobile Services.  We are partnering with New Relic, who provide a great dev analytics and app performance monitoring offering, to enable this - and we have updated the Windows Azure Management Portal to make it really easy to configure. Enabling New Relic with a Windows Azure Web Site Enabling New Relic support with a Windows Azure Web Site is now really easy.  Simply navigate to the Configure tab of a Web Site and scroll down to the “developer analytics” section that is now within it: Clicking the “add-on” button will display some additional UI.  If you don’t already have a New Relic subscription, you can click the “view windows azure store” button to obtain a subscription (note: New Relic has a perpetually free tier so you can enable it even without paying anything): Clicking the “view windows azure store” button will launch the integrated Windows Azure Store experience we have within the Windows Azure Management Portal.  You can use this to browse from a variety of great add-on services – including New Relic: Select “New Relic” within the dialog above, then click the next button, and you’ll be able to choose which type of New Relic subscription you wish to purchase.  For this demo we’ll simply select the “Free Standard Version” – which does not cost anything and can be used forever:  Once we’ve signed-up for our New Relic subscription and added it to our Windows Azure account, we can go back to the Web Site’s configuration tab and choose to use the New Relic add-on with our Windows Azure Web Site.  We can do this by simply selecting it from the “add-on” dropdown (it is automatically populated within it once we have a New Relic subscription in our account): Clicking the “Save” button will then cause the Windows Azure Management Portal to automatically populate all of the needed New Relic configuration settings to our Web Site: Deploying the New Relic Agent as part of a Web Site The final step to enable developer analytics using New Relic is to add the New Relic runtime agent to our web app.  We can do this within Visual Studio by right-clicking on our web project and selecting the “Manage NuGet Packages” context menu: This will bring up the NuGet package manager.  You can search for “New Relic” within it to find the New Relic agent.  Note that there is both a 32-bit and 64-bit edition of it – make sure to install the version that matches how your Web Site is running within Windows Azure (note: you can configure your Web Site to run in either 32-bit or 64-bit mode using the Web Site’s “Configuration” tab within the Windows Azure Management Portal): Once we install the NuGet package we are all set to go.  We’ll simply re-publish the web site again to Windows Azure and New Relic will now automatically start monitoring the application Monitoring a Web Site using New Relic Now that the application has developer analytics support with New Relic enabled, we can launch the New Relic monitoring portal to start monitoring the health of it.  We can do this by clicking on the “Add Ons” tab in the left-hand side of the Windows Azure Management Portal.  Then select the New Relic add-on we signed-up for within it.  The Windows Azure Management Portal will provide some default information about the add-on when we do this.  Clicking the “Manage” button in the tray at the bottom will launch a new browser tab and single-sign us into the New Relic monitoring portal associated with our account: When we do this a new browser tab will launch with the New Relic admin tool loaded within it: We can now see insights into how our app is performing – without having to have written a single line of monitoring code.  The New Relic service provides a ton of great built-in monitoring features allowing us to quickly see: Performance times (including browser rendering speed) for the overall site and individual pages.  You can optionally set alert thresholds to trigger if the speed does not meet a threshold you specify. Information about where in the world your customers are hitting the site from (and how performance varies by region) Details on the latency performance of external services your web apps are using (for example: SQL, Storage, Twitter, etc) Error information including call stack details for exceptions that have occurred at runtime SQL Server profiling information – including which queries executed against your database and what their performance was And a whole bunch more… The cool thing about New Relic is that you don’t need to write monitoring code within your application to get all of the above reports (plus a lot more).  The New Relic agent automatically enables the CLR profiler within applications and automatically captures the information necessary to identify these.  This makes it super easy to get started and immediately have a rich developer analytics view for your solutions with very little effort. If you haven’t tried New Relic out yet with Windows Azure I recommend you do so – I think you’ll find it helps you build even better cloud applications.  Following the above steps will help you get started and deliver you a really good application monitoring solution in only minutes. Service Bus: Support for partitioned queues and topics With today’s release, we are enabling support within Service Bus for partitioned queues and topics. Enabling partitioning enables you to achieve a higher message throughput and better availability from your queues and topics. Higher message throughput is achieved by implementing multiple message brokers for each partitioned queue and topic.  The  multiple messaging stores will also provide higher availability. You can create a partitioned queue or topic by simply checking the Enable Partitioning option in the custom create wizard for a Queue or Topic: Read this article to learn more about partitioned queues and topics and how to take advantage of them today. Billing: New Billing Alert Service Today’s Windows Azure update enables a new Billing Alert Service Preview that enables you to get proactive email notifications when your Windows Azure bill goes above a certain monetary threshold that you configure.  This makes it easier to manage your bill and avoid potential surprises at the end of the month. With the Billing Alert Service Preview, you can now create email alerts to monitor and manage your monetary credits or your current bill total.  To set up an alert first sign-up for the free Billing Alert Service Preview.  Then visit the account management page, click on a subscription you have setup, and then navigate to the new Alerts tab that is available: The alerts tab allows you to setup email alerts that will be sent automatically once a certain threshold is hit.  For example, by clicking the “add alert” button above I can setup a rule to send myself email anytime my Windows Azure bill goes above $100 for the month: The Billing Alert Service will evolve to support additional aspects of your bill as well as support multiple forms of alerts such as SMS.  Try out the new Billing Alert Service Preview today and give us feedback. Summary Today’s Windows Azure release enables a ton of great new scenarios, and makes building applications hosted in the cloud even easier. If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using all of the above features today.  Then visit the Windows Azure Developer Center to learn more about how to build apps with it. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • Using a "white list" for extracting terms for Text Mining

    - by [email protected]
    In Part 1 of my post on "Generating cluster names from a document clustering model" (part 1, part 2, part 3), I showed how to build a clustering model from text documents using Oracle Data Miner, which automates preparing data for text mining. In this process we specified a custom stoplist and lexer and relied on Oracle Text to identify important terms.  However, there is an alternative approach, the white list, which uses a thesaurus object with the Oracle Text CTXRULE index to allow you to specify the important terms. INTRODUCTIONA stoplist is used to exclude, i.e., black list, specific words in your documents from being indexed. For example, words like a, if, and, or, and but normally add no value when text mining. Other words can also be excluded if they do not help to differentiate documents, e.g., the word Oracle is ubiquitous in the Oracle product literature. One problem with stoplists is determining which words to specify. This usually requires inspecting the terms that are extracted, manually identifying which ones you don't want, and then re-indexing the documents to determine if you missed any. Since a corpus of documents could contain thousands of words, this could be a tedious exercise. Moreover, since every word is considered as an individual token, a term excluded in one context may be needed to help identify a term in another context. For example, in our Oracle product literature example, the words "Oracle Data Mining" taken individually are not particular helpful. The term "Oracle" may be found in nearly all documents, as with the term "Data." The term "Mining" is more unique, but could also refer to the Mining industry. If we exclude "Oracle" and "Data" by specifying them in the stoplist, we lose valuable information. But it we include them, they may introduce too much noise. Still, when you have a broad vocabulary or don't have a list of specific terms of interest, you rely on the text engine to identify important terms, often by computing the term frequency - inverse document frequency metric. (This is effectively a weight associated with each term indicating its relative importance in a document within a collection of documents. We'll revisit this later.) The results using this technique is often quite valuable. As noted above, an alternative to the subtractive nature of the stoplist is to specify a white list, or a list of terms--perhaps multi-word--that we want to extract and use for data mining. The obvious downside to this approach is the need to specify the set of terms of interest. However, this may not be as daunting a task as it seems. For example, in a given domain (Oracle product literature), there is often a recognized glossary, or a list of keywords and phrases (Oracle product names, industry names, product categories, etc.). Being able to identify multi-word terms, e.g., "Oracle Data Mining" or "Customer Relationship Management" as a single token can greatly increase the quality of the data mining results. The remainder of this post and subsequent posts will focus on how to produce a dataset that contains white list terms, suitable for mining. CREATING A WHITE LIST We'll leverage the thesaurus capability of Oracle Text. Using a thesaurus, we create a set of rules that are in effect our mapping from single and multi-word terms to the tokens used to represent those terms. For example, "Oracle Data Mining" becomes "ORACLEDATAMINING." First, we'll create and populate a mapping table called my_term_token_map. All text has been converted to upper case and values in the TERM column are intended to be mapped to the token in the TOKEN column. TERM                                TOKEN DATA MINING                         DATAMINING ORACLE DATA MINING                  ORACLEDATAMINING 11G                                 ORACLE11G JAVA                                JAVA CRM                                 CRM CUSTOMER RELATIONSHIP MANAGEMENT    CRM ... Next, we'll create a thesaurus object my_thesaurus and a rules table my_thesaurus_rules: CTX_THES.CREATE_THESAURUS('my_thesaurus', FALSE); CREATE TABLE my_thesaurus_rules (main_term     VARCHAR2(100),                                  query_string  VARCHAR2(400)); We next populate the thesaurus object and rules table using the term token map. A cursor is defined over my_term_token_map. As we iterate over  the rows, we insert a synonym relationship 'SYN' into the thesaurus. We also insert into the table my_thesaurus_rules the main term, and the corresponding query string, which specifies synonyms for the token in the thesaurus. DECLARE   cursor c2 is     select token, term     from my_term_token_map; BEGIN   for r_c2 in c2 loop     CTX_THES.CREATE_RELATION('my_thesaurus',r_c2.token,'SYN',r_c2.term);     EXECUTE IMMEDIATE 'insert into my_thesaurus_rules values                        (:1,''SYN(' || r_c2.token || ', my_thesaurus)'')'     using r_c2.token;   end loop; END; We are effectively inserting the token to return and the corresponding query that will look up synonyms in our thesaurus into the my_thesaurus_rules table, for example:     'ORACLEDATAMINING'        SYN ('ORACLEDATAMINING', my_thesaurus)At this point, we create a CTXRULE index on the my_thesaurus_rules table: create index my_thesaurus_rules_idx on        my_thesaurus_rules(query_string)        indextype is ctxsys.ctxrule; In my next post, this index will be used to extract the tokens that match each of the rules specified. We'll then compute the tf-idf weights for each of the terms and create a nested table suitable for mining.

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  • Is Berkeley DB a NoSQL solution?

    - by Gregory Burd
    Berkeley DB is a library. To use it to store data you must link the library into your application. You can use most programming languages to access the API, the calls across these APIs generally mimic the Berkeley DB C-API which makes perfect sense because Berkeley DB is written in C. The inspiration for Berkeley DB was the DBM library, a part of the earliest versions of UNIX written by AT&T's Ken Thompson in 1979. DBM was a simple key/value hashtable-based storage library. In the early 1990s as BSD UNIX was transitioning from version 4.3 to 4.4 and retrofitting commercial code owned by AT&T with unencumbered code, it was the future founders of Sleepycat Software who wrote libdb (aka Berkeley DB) as the replacement for DBM. The problem it addressed was fast, reliable local key/value storage. At that time databases almost always lived on a single node, even the most sophisticated databases only had simple fail-over two node solutions. If you had a lot of data to store you would choose between the few commercial RDBMS solutions or to write your own custom solution. Berkeley DB took the headache out of the custom approach. These basic market forces inspired other DBM implementations. There was the "New DBM" (ndbm) and the "GNU DBM" (GDBM) and a few others, but the theme was the same. Even today TokyoCabinet calls itself "a modern implementation of DBM" mimicking, and improving on, something first created over thirty years ago. In the mid-1990s, DBM was the name for what you needed if you were looking for fast, reliable local storage. Fast forward to today. What's changed? Systems are connected over fast, very reliable networks. Disks are cheep, fast, and capable of storing huge amounts of data. CPUs continued to follow Moore's Law, processing power that filled a room in 1990 now fits in your pocket. PCs, servers, and other computers proliferated both in business and the personal markets. In addition to the new hardware entire markets, social systems, and new modes of interpersonal communication moved onto the web and started evolving rapidly. These changes cause a massive explosion of data and a need to analyze and understand that data. Taken together this resulted in an entirely different landscape for database storage, new solutions were needed. A number of novel solutions stepped up and eventually a category called NoSQL emerged. The new market forces inspired the CAP theorem and the heated debate of BASE vs. ACID. But in essence this was simply the market looking at what to trade off to meet these new demands. These new database systems shared many qualities in common. There were designed to address massive amounts of data, millions of requests per second, and scale out across multiple systems. The first large-scale and successful solution was Dynamo, Amazon's distributed key/value database. Dynamo essentially took the next logical step and added a twist. Dynamo was to be the database of record, it would be distributed, data would be partitioned across many nodes, and it would tolerate failure by avoiding single points of failure. Amazon did this because they recognized that the majority of the dynamic content they provided to customers visiting their web store front didn't require the services of an RDBMS. The queries were simple, key/value look-ups or simple range queries with only a few queries that required more complex joins. They set about to use relational technology only in places where it was the best solution for the task, places like accounting and order fulfillment, but not in the myriad of other situations. The success of Dynamo, and it's design, inspired the next generation of Non-SQL, distributed database solutions including Cassandra, Riak and Voldemort. The problem their designers set out to solve was, "reliability at massive scale" so the first focal point was distributed database algorithms. Underneath Dynamo there is a local transactional database; either Berkeley DB, Berkeley DB Java Edition, MySQL or an in-memory key/value data structure. Dynamo was an evolution of local key/value storage onto networks. Cassandra, Riak, and Voldemort all faced similar design decisions and one, Voldemort, choose Berkeley DB Java Edition for it's node-local storage. Riak at first was entirely in-memory, but has recently added write-once, append-only log-based on-disk storage similar type of storage as Berkeley DB except that it is based on a hash table which must reside entirely in-memory rather than a btree which can live in-memory or on disk. Berkeley DB evolved too, we added high availability (HA) and a replication manager that makes it easy to setup replica groups. Berkeley DB's replication doesn't partitioned the data, every node keeps an entire copy of the database. For consistency, there is a single node where writes are committed first - a master - then those changes are delivered to the replica nodes as log records. Applications can choose to wait until all nodes are consistent, or fire and forget allowing Berkeley DB to eventually become consistent. Berkeley DB's HA scales-out quite well for read-intensive applications and also effectively eliminates the central point of failure by allowing replica nodes to be elected (using a PAXOS algorithm) to mastership if the master should fail. This implementation covers a wide variety of use cases. MemcacheDB is a server that implements the Memcache network protocol but uses Berkeley DB for storage and HA to replicate the cache state across all the nodes in the cache group. Google Accounts, the user authentication layer for all Google properties, was until recently running Berkeley DB HA. That scaled to a globally distributed system. That said, most NoSQL solutions try to partition (shard) data across nodes in the replication group and some allow writes as well as reads at any node, Berkeley DB HA does not. So, is Berkeley DB a "NoSQL" solution? Not really, but it certainly is a component of many of the existing NoSQL solutions out there. Forgetting all the noise about how NoSQL solutions are complex distributed databases when you boil them down to a single node you still have to store the data to some form of stable local storage. DBMs solved that problem a long time ago. NoSQL has more to do with the layers on top of the DBM; the distributed, sometimes-consistent, partitioned, scale-out storage that manage key/value or document sets and generally have some form of simple HTTP/REST-style network API. Does Berkeley DB do that? Not really. Is Berkeley DB a "NoSQL" solution today? Nope, but it's the most robust solution on which to build such a system. Re-inventing the node-local data storage isn't easy. A lot of people are starting to come to appreciate the sophisticated features found in Berkeley DB, even mimic them in some cases. Could Berkeley DB grow into a NoSQL solution? Absolutely. Our key/value API could be extended over the net using any of a number of existing network protocols such as memcache or HTTP/REST. We could adapt our node-local data partitioning out over replicated nodes. We even have a nice query language and cost-based query optimizer in our BDB XML product that we could reuse were we to build out a document-based NoSQL-style product. XML and JSON are not so different that we couldn't adapt one to work with the other interchangeably. Without too much effort we could add what's missing, we could jump into this No SQL market withing a single product development cycle. Why isn't Berkeley DB already a NoSQL solution? Why aren't we working on it? Why indeed...

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  • Partial Page Rendering in OAF Page

    - by PRajkumar
    Let us try to implement partial page rendering for a text item. If value of TextItem1 is null then TextItem2 will not be appreared on UI. If value of TextItem1 is not null then TextItem2 will be appreared on UI.   1. Create a New OA Workspace and Empty OA Project File> New > General> Workspace Configured for Oracle Applications File Name -- PPRProj Project Name – PPRDemoProj Default Package -- prajkumar.oracle.apps.fnd.pprdemo   2. Create Application Module AM PPRDemoProj right click > New > ADF Business Components > Application Module Name -- PPRAM Package -- prajkumar.oracle.apps.fnd.pprdemo.server   Check Application Module Class: PPRAMImpl Generate JavaFile(s)   3. Create a PPRVO View Object PPRDemoProj> New > ADF Business Components > View Objects Name – PPRVO Package – prajkumar.oracle.apps.fnd.pprdemo.server   In Attribute Page Click on New button and create transient primary key attribute with the following properties:   Attribute Property Name RowKey Type Number Updateable Always Key Attribute (Checked)   Click New button again and create transient attribute with the following properties:   Attribute Property Name TextItem2Render Type Boolean Updateable Always   Note – No Need to generate any JAVA files for PPRVO   4. Add Your View Object to Root UI Application Module Right click on PPRAM > Edit PPRAM > Data Model > Select PPRVO in Available View Objects list and shuttle to Data Model list   5. Create a OA components Page PPRDemoProj right click > New > OA Components > Page Name – PPRPG Package -- prajkumar.oracle.apps.fnd.pprdemo.webui   6. Modify the Page Layout (Top-level) Region   Attribute Property ID PageLayoutRN Region Style pageLayout Form Property True Auto Footer True Window Title PPR Demo Window Title True Title PPR Demo Page Header AM Definition prajkumar.oracle.apps.fnd.pprdemo.server.PPRAM   7. Create the Second Region (Main Content Region) Right click on PageLayoutRN > New > Region   Attribute Property ID MainRN Region Style messageComponentLayout   8. Create Two Text Items   Create First messageTextItem -- Right click on MainRN > New > messageTextInput   Attribute Property ID TextItem1 Region Style messageTextInput Prompt Text Item1 Length 20 Disable Server Side Validation True Disable Client Side Validation True Action Type firePartialAction Event TextItem1Change Submit True   Note -- Disable Client Side Validation and Event property appears after you set the Action Type property to firePartialAction   Create Second messageTextItem -- Select MainRN right click > New > messageTextInput   Attribute Property ID TextItem2 Region Style messageTextInput Prompt Text Item2 Length 20 Rendered ${oa.PPRVO1.TextItem2Render}   9. Add Following code in PPRAMImpl.java   import oracle.apps.fnd.framework.OARow; import oracle.apps.fnd.framework.OAViewObject; import oracle.apps.fnd.framework.server.OAApplicationModuleImpl; import oracle.apps.fnd.framework.server.OAViewObjectImpl; public void handlePPRAction()  {   Number val = 1;  OAViewObject vo = (OAViewObject)findViewObject("PPRVO1");  if (vo != null)   {    if (vo.getFetchedRowCount() == 0)    {     vo.setMaxFetchSize(0);     vo.executeQuery();     vo.insertRow(vo.createRow());     OARow row = (OARow)vo.first();            row.setAttribute("RowKey", val);    row.setAttribute("TextItem2Render", Boolean.FALSE);      }  } }   10. Implement Controller for Page Select PageLayoutRN in Structure pane right click > Set New Controller Package Name -- prajkumar.oracle.apps.fnd.pprdemo.webui Class Name – PPRCO   Write following code in processFormRequest function of PPRCO Controller   import oracle.apps.fnd.framework.OARow; import oracle.apps.fnd.framework.OAViewObject; public void processRequest(OAPageContext pageContext, OAWebBean webBean) {  super.processRequest(pageContext, webBean);  PPRAMImpl am = (PPRAMImpl)pageContext.getApplicationModule(webBean);      am.invokeMethod("handlePPRAction"); } public void processFormRequest(OAPageContext pageContext, OAWebBean webBean) {  super.processFormRequest(pageContext, webBean);        PPRAMImpl am = (PPRAMImpl)pageContext.getApplicationModule(webBean);  OAViewObject vo = (OAViewObject)am.findViewObject("PPRVO1");  OARow row = (OARow)vo.getCurrentRow();        if ("TextItem1Change".equals(pageContext.getParameter(EVENT_PARAM)))  {   if (pageContext.getParameter("TextItem1").equals(""))   {    row.setAttribute("TextItem2Render", Boolean.FALSE);   }   else   {    row.setAttribute("TextItem2Render", Boolean.TRUE);   }  } }   11. Congratulation you have successfully finished. Run Your PPRPG page and Test Your Work          

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