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  • Using BizTalk to bridge SQL Job and Human Intervention (Requesting Permission)

    - by Kevin Shyr
    I start off the process with either a BizTalk Scheduler (http://biztalkscheduledtask.codeplex.com/releases/view/50363) or a manual file drop of the XML message.  The manual file drop is to allow the SQL  Job to call a "File Copy" SSIS step to copy the trigger file for the next process and allows SQL  Job to be linked back into BizTalk processing. The Process Trigger XML looks like the following.  It is basically the configuration hub of the business process <ns0:MsgSchedulerTriggerSQLJobReceive xmlns:ns0="urn:com:something something">   <ns0:IsProcessAsync>YES</ns0:IsProcessAsync>   <ns0:IsPermissionRequired>YES</ns0:IsPermissionRequired>   <ns0:BusinessProcessName>Data Push</ns0:BusinessProcessName>   <ns0:EmailFrom>[email protected]</ns0:EmailFrom>   <ns0:EmailRecipientToList>[email protected]</ns0:EmailRecipientToList>   <ns0:EmailRecipientCCList>[email protected]</ns0:EmailRecipientCCList>   <ns0:EmailMessageBodyForPermissionRequest>This message was sent to request permission to start the Data Push process.  The SQL Job to be run is WeeklyProcessing_DataPush</ns0:EmailMessageBodyForPermissionRequest>   <ns0:SQLJobName>WeeklyProcessing_DataPush</ns0:SQLJobName>   <ns0:SQLJobStepName>Push_To_Production</ns0:SQLJobStepName>   <ns0:SQLJobMinToWait>1</ns0:SQLJobMinToWait>   <ns0:PermissionRequestTriggerPath>\\server\ETL-BizTalk\Automation\TriggerCreatedByBizTalk\</ns0:PermissionRequestTriggerPath>   <ns0:PermissionRequestApprovedPath>\\server\ETL-BizTalk\Automation\Approved\</ns0:PermissionRequestApprovedPath>   <ns0:PermissionRequestNotApprovedPath>\\server\ETL-BizTalk\Automation\NotApproved\</ns0:PermissionRequestNotApprovedPath> </ns0:MsgSchedulerTriggerSQLJobReceive>   Every node of this schema was promoted to a distinguished field so that the values can be used for decision making in the orchestration.  The first decision made is on the "IsPermissionRequired" field.     If permission is required (IsPermissionRequired=="YES"), BizTalk will use the configuration info in the XML trigger to format the email message.  Here is the snippet of how the email message is constructed. SQLJobEmailMessage.EmailBody     = new Eai.OrchestrationHelpers.XlangCustomFormatters.RawString(         MsgSchedulerTriggerSQLJobReceive.EmailMessageBodyForPermissionRequest +         "<br><br>" +         "By moving the file, you are either giving permission to the process, or disapprove of the process." +         "<br>" +         "This is the file to move: \"" + PermissionTriggerToBeGenereatedHere +         "\"<br>" +         "(You may find it easier to open the destination folder first, then navigate to the sibling folder to get to this file)" +         "<br><br>" +         "To approve, move(NOT copy) the file here: " + MsgSchedulerTriggerSQLJobReceive.PermissionRequestApprovedPath +         "<br><br>" +         "To disapprove, move(NOT copy) the file here: " + MsgSchedulerTriggerSQLJobReceive.PermissionRequestNotApprovedPath +         "<br><br>" +         "The file will be IMMEDIATELY picked up by the automated process.  This is normal.  You should receive a message soon that the file is processed." +         "<br>" +         "Thank you!"     ); SQLJobSendNotification(Microsoft.XLANGs.BaseTypes.Address) = "mailto:" + MsgSchedulerTriggerSQLJobReceive.EmailRecipientToList; SQLJobEmailMessage.EmailBody(Microsoft.XLANGs.BaseTypes.ContentType) = "text/html"; SQLJobEmailMessage(SMTP.Subject) = "Requesting Permission to Start the " + MsgSchedulerTriggerSQLJobReceive.BusinessProcessName; SQLJobEmailMessage(SMTP.From) = MsgSchedulerTriggerSQLJobReceive.EmailFrom; SQLJobEmailMessage(SMTP.CC) = MsgSchedulerTriggerSQLJobReceive.EmailRecipientCCList; SQLJobEmailMessage(SMTP.EmailBodyFileCharset) = "UTF-8"; SQLJobEmailMessage(SMTP.SMTPHost) = "localhost"; SQLJobEmailMessage(SMTP.MessagePartsAttachments) = 2;   After the Permission request email is sent, the next step is to generate the actual Permission Trigger file.  A correlation set is used here on SQLJobName and a newly generated GUID field. <?xml version="1.0" encoding="utf-8"?><ns0:SQLJobAuthorizationTrigger xmlns:ns0="somethingsomething"><SQLJobName>Data Push</SQLJobName><CorrelationGuid>9f7c6b46-0e62-46a7-b3a0-b5327ab03753</CorrelationGuid></ns0:SQLJobAuthorizationTrigger> The end user (the human intervention piece) will either grant permission for this process, or deny it, by moving the Permission Trigger file to either the "Approved" folder or the "NotApproved" folder.  A parallel Listen shape is waiting for either response.   The next set of steps decide how the SQL Job is to be called, or whether it is called at all.  If permission denied, it simply sends out a notification.  If permission is granted, then the flag (IsProcessAsync) in the original Process Trigger is used.  The synchonous part is not really synchronous, but a loop timer to check the status within the calling stored procedure (for more information, check out my previous post:  http://geekswithblogs.net/LifeLongTechie/archive/2010/11/01/execute-sql-job-synchronously-for-biztalk-via-a-stored-procedure.aspx)  If it's async, then the sp starts the job and BizTalk sends out an email.   And of course, some error notification:   Footnote: The next version of this orchestration will have an additional parallel line near the Listen shape with a Delay built in and a Loop to send out a daily reminder if no response has been received from the end user.  The synchronous part is used to gather results and execute a data clean up process so that the SQL Job can be re-tried.  There are manu possibilities here.

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  • Performance triage

    - by Dave
    Folks often ask me how to approach a suspected performance issue. My personal strategy is informed by the fact that I work on concurrency issues. (When you have a hammer everything looks like a nail, but I'll try to keep this general). A good starting point is to ask yourself if the observed performance matches your expectations. Expectations might be derived from known system performance limits, prototypes, and other software or environments that are comparable to your particular system-under-test. Some simple comparisons and microbenchmarks can be useful at this stage. It's also useful to write some very simple programs to validate some of the reported or expected system limits. Can that disk controller really tolerate and sustain 500 reads per second? To reduce the number of confounding factors it's better to try to answer that question with a very simple targeted program. And finally, nothing beats having familiarity with the technologies that underlying your particular layer. On the topic of confounding factors, as our technology stacks become deeper and less transparent, we often find our own technology working against us in some unexpected way to choke performance rather than simply running into some fundamental system limit. A good example is the warm-up time needed by just-in-time compilers in Java Virtual Machines. I won't delve too far into that particular hole except to say that it's rare to find good benchmarks and methodology for java code. Another example is power management on x86. Power management is great, but it can take a while for the CPUs to throttle up from low(er) frequencies to full throttle. And while I love "turbo" mode, it makes benchmarking applications with multiple threads a chore as you have to remember to turn it off and then back on otherwise short single-threaded runs may look abnormally fast compared to runs with higher thread counts. In general for performance characterization I disable turbo mode and fix the power governor at "performance" state. Another source of complexity is the scheduler, which I've discussed in prior blog entries. Lets say I have a running application and I want to better understand its behavior and performance. We'll presume it's warmed up, is under load, and is an execution mode representative of what we think the norm would be. It should be in steady-state, if a steady-state mode even exists. On Solaris the very first thing I'll do is take a set of "pstack" samples. Pstack briefly stops the process and walks each of the stacks, reporting symbolic information (if available) for each frame. For Java, pstack has been augmented to understand java frames, and even report inlining. A few pstack samples can provide powerful insight into what's actually going on inside the program. You'll be able to see calling patterns, which threads are blocked on what system calls or synchronization constructs, memory allocation, etc. If your code is CPU-bound then you'll get a good sense where the cycles are being spent. (I should caution that normal C/C++ inlining can diffuse an otherwise "hot" method into other methods. This is a rare instance where pstack sampling might not immediately point to the key problem). At this point you'll need to reconcile what you're seeing with pstack and your mental model of what you think the program should be doing. They're often rather different. And generally if there's a key performance issue, you'll spot it with a moderate number of samples. I'll also use OS-level observability tools to lock for the existence of bottlenecks where threads contend for locks; other situations where threads are blocked; and the distribution of threads over the system. On Solaris some good tools are mpstat and too a lesser degree, vmstat. Try running "mpstat -a 5" in one window while the application program runs concurrently. One key measure is the voluntary context switch rate "vctx" or "csw" which reflects threads descheduling themselves. It's also good to look at the user; system; and idle CPU percentages. This can give a broad but useful understanding if your threads are mostly parked or mostly running. For instance if your program makes heavy use of malloc/free, then it might be the case you're contending on the central malloc lock in the default allocator. In that case you'd see malloc calling lock in the stack traces, observe a high csw/vctx rate as threads block for the malloc lock, and your "usr" time would be less than expected. Solaris dtrace is a wonderful and invaluable performance tool as well, but in a sense you have to frame and articulate a meaningful and specific question to get a useful answer, so I tend not to use it for first-order screening of problems. It's also most effective for OS and software-level performance issues as opposed to HW-level issues. For that reason I recommend mpstat & pstack as my the 1st step in performance triage. If some other OS-level issue is evident then it's good to switch to dtrace to drill more deeply into the problem. Only after I've ruled out OS-level issues do I switch to using hardware performance counters to look for architectural impediments.

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  • Configuring MySQL Cluster Data Nodes

    - by Mat Keep
    0 0 1 692 3948 Homework 32 9 4631 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} In my previous blog post, I discussed the enhanced performance and scalability delivered by extensions to the multi-threaded data nodes in MySQL Cluster 7.2. In this post, I’ll share best practices on the configuration of data nodes to achieve optimum performance on the latest generations of multi-core, multi-thread CPU designs. Configuring the Data Nodes The configuration of data node threads can be managed in two ways via the config.ini file: - Simply set MaxNoOfExecutionThreads to the appropriate number of threads to be run in the data node, based on the number of threads presented by the processors used in the host or VM. - Use the new ThreadConfig variable that enables users to configure both the number of each thread type to use and also which CPUs to bind them too. The flexible configuration afforded by the multi-threaded data node enhancements means that it is possible to optimise data nodes to use anything from a single CPU/thread up to a 48 CPU/thread server. Co-locating the MySQL Server with a single data node can fully utilize servers with 64 – 80 CPU/threads. It is also possible to co-locate multiple data nodes per server, but this is now only required for very large servers with 4+ CPU sockets dense multi-core processors. 24 Threads and Beyond! An example of how to make best use of a 24 CPU/thread server box is to configure the following: - 8 ldm threads - 4 tc threads - 3 recv threads - 3 send threads - 1 rep thread for asynchronous replication. Each of those threads should be bound to a CPU. It is possible to bind the main thread (schema management domain) and the IO threads to the same CPU in most installations. In the configuration above, we have bound threads to 20 different CPUs. We should also protect these 20 CPUs from interrupts by using the IRQBALANCE_BANNED_CPUS configuration variable in /etc/sysconfig/irqbalance and setting it to 0x0FFFFF. The reason for doing this is that MySQL Cluster generates a lot of interrupt and OS kernel processing, and so it is recommended to separate activity across CPUs to ensure conflicts with the MySQL Cluster threads are eliminated. When booting a Linux kernel it is also possible to provide an option isolcpus=0-19 in grub.conf. The result is that the Linux scheduler won't use these CPUs for any task. Only by using CPU affinity syscalls can a process be made to run on those CPUs. By using this approach, together with binding MySQL Cluster threads to specific CPUs and banning CPUs IRQ processing on these tasks, a very stable performance environment is created for a MySQL Cluster data node. On a 32 CPU/Thread server: - Increase the number of ldm threads to 12 - Increase tc threads to 6 - Provide 2 more CPUs for the OS and interrupts. - The number of send and receive threads should, in most cases, still be sufficient. On a 40 CPU/Thread server, increase ldm threads to 16, tc threads to 8 and increment send and receive threads to 4. On a 48 CPU/Thread server it is possible to optimize further by using: - 12 tc threads - 2 more CPUs for the OS and interrupts - Avoid using IO threads and main thread on same CPU - Add 1 more receive thread. Summary As both this and the previous post seek to demonstrate, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs. A big thanks to Mikael Ronstrom, Senior MySQL Architect at Oracle, for his work in developing these enhancements and best practices. You can download MySQL Cluster 7.2 today and try out all of these enhancements. The Getting Started guides are an invaluable aid to quickly building a Proof of Concept Don’t forget to check out the MySQL Cluster 7.2 New Features whitepaper to discover everything that is new in the latest GA release

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  • VB6 app not executing as scheduled task unless user is logged on

    - by Tedd Hansen
    Hi Would greatly apprechiate some help on this one! It may be a tricky one. :) Problem I have an VB6 application which is set up as scheduled task. It starts every time, but when executing CreateObject it fails if user is not logged on to computer. I am looking for information on what could cause this. Primary suspicion is that some Windows API fails. Key points Behaviour confirmed on Windows 2000, 2003, 2008 and Vista. The application executes as user X at scheduled time, executed by Windows Task Scheduler. It executes every time. Application does start! -- If user X is logged on via RDP it runs perfectly. (Note that user doesn't need to be connected, only logged on) -- If user X is not logged on to computer the application fails. Failure point Application fails when using CreateObject() to instansiate a DCOM object which is also part of the application. The DCOM objects declare .dll-references at startup (globally/on top of .bas-file) and run a small startup function. Failure must be during startup, possibly in one of the .dll-declarations. Thoughts After some Googling my initial suspicion was directed at MAPI. From what I could see MAPI required user to be logged on. The application has MAPI references. But even with all MAPI references removed it still does not work. What is the difference if an user is logged on? Registry mapping? Environment? explorer.exe is running. Isn't the user logged on when application executes as the user? What info would help? A definitive answer would be truly great. Any information regarding any VB6 feature/Windows API that could act differently depending on wether user is logged on or not would definitively help. Similar experiences may lead me in the right direction. Tips on debuggin this. Thanks! :)

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  • How to break a Hibernate session?

    - by Péter Török
    In the Hibernate reference, it is stated several times that All exceptions thrown by Hibernate are fatal. This means you have to roll back the database transaction and close the current Session. You aren’t allowed to continue working with a Session that threw an exception. One of our legacy apps uses a single session to update/insert many records from files into a DB table. Each recourd update/insert is done in a separate transaction, which is then duly committed (or rolled back in case an error occurred). Then for the next record a new transaction is opened etc. But the same session is used throughout the whole process, even if a HibernateException was caught in the middle. We are using Oracle 9i btw with Hibernate 3.24.sp1 on JBoss 4.2. Reading the above in the book, I realized that this design may fail. So I refactored the app to use a separate session for each record update. In a unit test with a mock session factory, I could prove that it is now requesting a new session for each record update. So far, so good. However, we found no way to reproduce the session failure while testing the whole app (would this be a stress test btw, or ...?). We thought of shutting down the listener of the DB but we realized that the app is keeping a bunch of connections open to the DB, and the listener would not affect those connections. (This is a web app, activated once every night by a scheduler, but it can also be activated via the browser.) Then we tried to kill some of those connections in the DB while the app was processing updates - this resulted in some failed updates, but then the app happily continued. Apparently Hibernate is clever enough to reopen broken connections under the hood without breaking the whole session. So this might not be a critical issue, as our app seems to be robust enough even in its original form. However, the issue keeps bugging me. I would like to know: Under what circumstances does the Hibernate session really become unusable after a HibernateException was thrown? How to reproduce this in a test? (What's the proper term for such a test?)

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  • Fairness: Where can it be better handled?

    - by Srinivas Nayak
    Hi, I would like to share one of my practical experience with multiprogramming here. Yesterday I had written a multiprogram. Modifications to sharable resources were put under critical sections protected by P(mutex) and V(mutex) and those critical section code were put in a common library. The library will be used by concurrent applications (of my own). I had three applications that will use the common code from library and do their stuff independently. my library --------- work_on_shared_resource { P(mutex) get_shared_resource work_with_it V(mutex) } --------- my application ----------- application1 { *[ work_on_shared_resource do_something_else_non_ctitical ] } application2 { *[ work_on_shared_resource do_something_else_non_ctitical ] } application3 { *[ work_on_shared_resource ] } *[...] denote a loop. ------------ I had to run the applications on Linux OS. I had a thought in my mind, hanging over years, that, OS shall schedule all the processes running under him with all fairness. In other words, it will give all the processes, their pie of resource-usage equally well. When first two applications were put to work, they run perfectly well without deadlock. But when the third application started running, always the third one got the resources, but since it is not doing anything in its non-critical region, it gets the shared resource more often when other tasks are doing something else. So the other two applications were found almost totally halted. When the third application got terminated forcefully, the previous two applications resumed their work as before. I think, this is a case of starvation, first two applications had to starve. Now how can we ensure fairness? Now I started believing that OS scheduler is innocent and blind. It depends upon who won the race; he got the largest pie of CPU and resource. Shall we attempt to ensure fairness of resource users in the critical-section code in library? Or shall we leave it up to the applications to ensure fairness by being liberal, not greedy? To my knowledge, adding code to ensure fairness to the common library shall be an overwhelming task. On the other hand, believing on the applications will also never ensure 100% fairness. The application which does a very little task after working with shared resources shall win the race where as the application which does heavy processing after their work with shared resources shall always starve. What is the best practice in this case? Where we ensure fairness and how? Sincerely, Srinivas Nayak

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  • I'm cloning a table row that contains an input that's being set to jQuery TimeEntry that errors when

    - by Kendall Crouch
    I'm adding a TimeEntry to a page where the user can add a row (clone) to a table. The row that is cloned is hidden (display:none). The user clicks a button and javascript is run to clone the row which renames all of the fields and then appends the new row to the table. <tr id="blankRowShift"> <td> <input type="text" id="timeStart" name="timeStart" /> </td> <td> <input type="text" id="timeEnd" name="timeEnd" /> </td> <td> <select id="userLevel"> <option value="0">Please Select One</option> <option value="2">Admin</option> <option value="1">Employee</option> <option value="3">Scheduler</option> </select> </td> </tr> var r = $("#tbl #blankRowShift").clone().removeAttr("id"); $("#timeStart", r).attr("name", "timeStart" + nn).attr("id", "timeStart" + nn); $("#timeEnd", r).attr("name", "timeEnd" + nn).attr("id", "timeEnd" + nn); $("#userLevel option:nth(0)", r).attr("selected", "selected"); $("#userLevel", r).attr("name", "userLevel" + nn).attr("id", "userLevel" + nn).attr("value", 0); $("#tbl").append(r); $("#timeStart" + nn).timeEntry({ show24Hours: false, showSeconds: false, timeSteps: [1, 15, 0], spinnerImage: 'includes/js/spinnerOrange.png', beforeShow: customRangeStart }); $("#timeStart" + nn).timeEntry('setTime', new Date()); $("#timeEnd" + nn).timeEntry({ show24Hours: false, showSeconds: false, timeSteps: [1, 15, 0], spinnerImage: 'includes/js/spinnerOrange.png', beforeShow: customRangeEnd }); $("#timeEnd" + nn).timeEntry('setTime', new Date()); The spinner works just fine and the times can be changed. Then when submitting the form, I validate the time. The getTime errors in jQuery with the message "elem is undefined var id = elem[ expando ];". I've placed the statement 'console.dir(input)' in the _getTimeTimeEntry: function and it returns nothing for the cloned fields. el = $("#timeStart" + i); if (el.timeEntry("getTime") == null) {

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  • Startup in Windows 7

    - by iira
    Hi, I am trying to add my program run in Windows 7 startup, but it does'nt works. My program has embedded uac manifest. My current way is by adding String Value at HKCU..\Run I found a manual solution for Vista from http://social.technet.microsoft.com/Forums/en/w7itprosecurity/thread/81c3c1f2-0169-493a-8f87-d300ea708ecf 1. Click Start, right click on Computer and choose “Manage”. 2. Click “Task Scheduler” on the left panel. 3. Click “Create Task” on the right panel. 4. Type a name for the task. 5. Check “Run with highest privileges”. 6. Click Actions tab. 7. Click “New…”. 8. Browse to the program in the “Program/script” box. Click OK. 9. On desktop, right click, choose New and click “Shortcut”. 10. In the box type: schtasks.exe /run /tn TaskName where TaskName is the name of task you put in on the basics tab and click next. 11. Type a name for the shortcut and click Finish. Additionally, you need to run the saved scheduled task shortcut to run the program instead of running the application shortcut to ignore the IAC prompt. When startup the system will run the program via the original shortcut. Therefore you need to change the location to run the saved task. Please: 1. Open Regedit. 2. Find the entry of the startup item in Registry. It will be stored in one of the following branches. HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Run HKEY_USERS\.DEFAULT\Software\Microsoft\Windows\CurrentVersion\Run HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run 3. Double-click on the correct key, change the path to the saved scheduled task you created. Is there any free code to add item with privileges option in scheduled task? I havent found the free one in torry.net Thanks a lot.

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  • Directly Jump to another C++ function

    - by maligree
    I'm porting a small academic OS from TriCore to ARM Cortex (Thumb-2 instruction set). For the scheduler to work, I sometimes need to JUMP directly to another function without modifying the stack nor the link register. On TriCore (or, rather, on tricore-g++), this wrapper template (for any three-argument-function) works: template< class A1, class A2, class A3 > inline void __attribute__((always_inline)) JUMP3( void (*func)( A1, A2, A3), A1 a1, A2 a2, A3 a3 ) { typedef void (* __attribute__((interrupt_handler)) Jump3)( A1, A2, A3); ( (Jump3)func )( a1, a2, a3 ); } //example for using the template: JUMP3( superDispatch, this, me, next ); This would generate the assembler instruction J (a.k.a. JUMP) instead of CALL, leaving the stack and CSAs unchanged when jumping to the (otherwise normal) C++ function superDispatch(SchedulerImplementation* obj, Task::Id from, Task::Id to). Now I need an equivalent behaviour on ARM Cortex (or, rather, for arm-none-linux-gnueabi-g++), i.e. generate a B (a.k.a. BRANCH) instruction instead of BLX (a.k.a. BRANCH with link and exchange). But there is no interrupt_handler attribute for arm-g++ and I could not find any equivalent attribute. So I tried to resort to asm volatile and writing the asm code directly: template< class A1, class A2, class A3 > inline void __attribute__((always_inline)) JUMP3( void (*func)( A1, A2, A3), A1 a1, A2 a2, A3 a3 ) { asm volatile ( "mov.w r0, %1;" "mov.w r1, %2;" "mov.w r2, %3;" "b %0;" : : "r"(func), "r"(a1), "r"(a2), "r"(a3) : "r0", "r1", "r2" ); } So far, so good, in my theory, at least. Thumb-2 requires function arguments to be passed in the registers, i.e. r0..r2 in this case, so it should work. But then the linker dies with undefined reference to `r6' on the closing bracket of the asm statement ... and I don't know what to make of it. OK, I'm not the expert in C++, and the asm syntax is not very straightforward... so has anybody got a hint for me? A hint to the correct __attribute__ for arm-g++ would be one way, a hint to fix the asm code would be another. Another way maybe would be to tell the compiler that a1..a3 should already be in the registers r0..r2 when the asm statement is entered (I looked into that a bit, but did not find any hint).

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  • TS-7800 Hangs on bootup

    - by Reid
    I have a TS-7800, and it typically boots from the SD card inserted in it. When I tried to boot it up today, it hung on the syslog line. I am now having "Read only file system" problems. What has gone wrong? Bootup console: >> Copyright (c) 2008, Technologic Systems >> Booting from SD card... . . . . >> Booting to SD Card... INIT: version 2.86 booting Starting the hotplug events dispatcher: udevd. Synthesizing the initial hotplug events...done. Waiting for /dev to be fully populated...done. mount: can't find / in /etc/fstab or /etc/mtab Cleaning up ifupdown...rm: cannot remove `/etc/network/run/ifstate': Read-only file system Loading kernel modules...done. Checking all file systems... fsck 1.37 (21-Mar-2005) ... done. none on /dev/pts type devpts (rw,gid=5,mode=620) /etc/init.d/rcS: line 39: /tmp/.clean: Read-only file system Setting up networking...done. Setting up IP spoofing protection: rp_filter. Enabling packet forwarding...done. Configuring network interfaces...ifup: failed to open statefile /etc/network/run/ifstate: Read-only file system done. Starting portmap daemon: portmap. /etc/init.d/rcS: line 39: /tmp/.clean: Read-only file system /etc/init.d/rcS: line 24: /var/run/utmp: Read-only file system rm: cannot remove `/var/lib/urandom/random-seed': Read-only file system urandom start: failed. Recovering nvi editor sessions... done. INIT: Entering runlevel: 3 Starting system log daemon: syslogd . Starting kernel log daemon: klogd. Starting MTA: open: Read-only file system touch: cannot touch `/var/lib/exim4/config.autogenerated.tmp': Read-only file system chown: cannot access `/var/lib/exim4/config.autogenerated.tmp': No such file or directory chmod: cannot access `/var/lib/exim4/config.autogenerated.tmp': No such file or directory chmod: changing permissions of `/var/lib/exim4/config.autogenerated': Read-only file system /usr/sbin/update-exim4.conf: line 260: cannot create temp file for here document: Read-only file system /usr/sbin/update-exim4.conf: line 387: /var/lib/exim4/config.autogenerated.tmp: Read-only file system 2002-01-01 01:31:36 Cannot open main log file "/var/log/exim4/mainlog": Read-only file system: euid=0 egid=0 2002-01-01 01:31:36 non-existent configuration file(s): /var/lib/exim4/config.autogenerated.tmp 2002-01-01 01:31:36 Cannot open main log file "/var/log/exim4/mainlog": Read-only file system: euid=0 egid=0 exim: could not open panic log - aborting: see message(s) above Invalid new configfile /var/lib/exim4/config.autogenerated.tmp not installing /var/lib/exim4/config.autogenerated.tmp to /var/lib/exim4/config.autogenerated Starting internet superserver: inetd. Starting OpenBSD Secure Shell server: sshd. Starting NFS common utilities: statdStarting periodic command scheduler: cron/usr/sbin/cron: can't open or create /var/run/crond.pid: Read-only file system . Starting web server (apache2)...(30)Read-only file system: apache2: could not open error log file /var/log/apache2/error.log. Unable to open logs failed! Debian GNU/Linux 3.1 ts7800 ttyS0 ts7800 login:

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  • How to configure emacs by using this file?

    - by Andy Leman
    From http://public.halogen-dg.com/browser/alex-emacs-settings/.emacs?rev=1346 I got: (setq load-path (cons "/home/alex/.emacs.d/" load-path)) (setq load-path (cons "/home/alex/.emacs.d/configs/" load-path)) (defconst emacs-config-dir "~/.emacs.d/configs/" "") (defun load-cfg-files (filelist) (dolist (file filelist) (load (expand-file-name (concat emacs-config-dir file))) (message "Loaded config file:%s" file) )) (load-cfg-files '("cfg_initsplit" "cfg_variables_and_faces" "cfg_keybindings" "cfg_site_gentoo" "cfg_conf-mode" "cfg_mail-mode" "cfg_region_hooks" "cfg_apache-mode" "cfg_crontab-mode" "cfg_gnuserv" "cfg_subversion" "cfg_css-mode" "cfg_php-mode" "cfg_tramp" "cfg_killbuffer" "cfg_color-theme" "cfg_uniquify" "cfg_tabbar" "cfg_python" "cfg_ack" "cfg_scpaste" "cfg_ido-mode" "cfg_javascript" "cfg_ange_ftp" "cfg_font-lock" "cfg_default_face" "cfg_ecb" "cfg_browser" "cfg_orgmode" ; "cfg_gnus" ; "cfg_cyrillic" )) ; enable disabled advanced features (put 'downcase-region 'disabled nil) (put 'scroll-left 'disabled nil) (put 'upcase-region 'disabled nil) ; narrow cursor ;(setq-default cursor-type 'hbar) (cua-mode) ; highlight current line (global-hl-line-mode 1) ; AV: non-aggressive scrolling (setq scroll-conservatively 100) (setq scroll-preserve-screen-position 't) (setq scroll-margin 0) (custom-set-variables ;; custom-set-variables was added by Custom. ;; If you edit it by hand, you could mess it up, so be careful. ;; Your init file should contain only one such instance. ;; If there is more than one, they won't work right. '(ange-ftp-passive-host-alist (quote (("redbus2.chalkface.com" . "on") ("zope.halogen-dg.com" . "on") ("85.119.217.50" . "on")))) '(blink-cursor-mode nil) '(browse-url-browser-function (quote browse-url-firefox)) '(browse-url-new-window-flag t) '(buffers-menu-max-size 30) '(buffers-menu-show-directories t) '(buffers-menu-show-status nil) '(case-fold-search t) '(column-number-mode t) '(cua-enable-cua-keys nil) '(user-mail-address "[email protected]") '(cua-mode t nil (cua-base)) '(current-language-environment "UTF-8") '(file-name-shadow-mode t) '(fill-column 79) '(grep-command "grep --color=never -nHr -e * | grep -v .svn --color=never") '(grep-use-null-device nil) '(inhibit-startup-screen t) '(initial-frame-alist (quote ((width . 80) (height . 40)))) '(initsplit-customizations-alist (quote (("tabbar" "configs/cfg_tabbar.el" t) ("ecb" "configs/cfg_ecb.el" t) ("ange\\-ftp" "configs/cfg_ange_ftp.el" t) ("planner" "configs/cfg_planner.el" t) ("dired" "configs/cfg_dired.el" t) ("font\\-lock" "configs/cfg_font-lock.el" t) ("speedbar" "configs/cfg_ecb.el" t) ("muse" "configs/cfg_muse.el" t) ("tramp" "configs/cfg_tramp.el" t) ("uniquify" "configs/cfg_uniquify.el" t) ("default" "configs/cfg_font-lock.el" t) ("ido" "configs/cfg_ido-mode.el" t) ("org" "configs/cfg_orgmode.el" t) ("gnus" "configs/cfg_gnus.el" t) ("nnmail" "configs/cfg_gnus.el" t)))) '(ispell-program-name "aspell") '(jabber-account-list (quote (("[email protected]")))) '(jabber-nickname "AVK") '(jabber-password nil) '(jabber-server "halogen-dg.com") '(jabber-username "alex") '(remember-data-file "~/Plans/remember.org") '(safe-local-variable-values (quote ((dtml-top-element . "body")))) '(save-place t nil (saveplace)) '(scroll-bar-mode (quote right)) '(semantic-idle-scheduler-idle-time 432000) '(show-paren-mode t) '(svn-status-hide-unmodified t) '(tool-bar-mode nil nil (tool-bar)) '(transient-mark-mode t) '(truncate-lines f) '(woman-use-own-frame nil)) ; ?? ????? ??????? y ??? n? (fset 'yes-or-no-p 'y-or-n-p) (custom-set-faces ;; custom-set-faces was added by Custom. ;; If you edit it by hand, you could mess it up, so be careful. ;; Your init file should contain only one such instance. ;; If there is more than one, they won't work right. '(compilation-error ((t (:foreground "tomato" :weight bold)))) '(cursor ((t (:background "red1")))) '(custom-variable-tag ((((class color) (background dark)) (:inherit variable-pitch :foreground "DarkOrange" :weight bold)))) '(hl-line ((t (:background "grey24")))) '(isearch ((t (:background "orange" :foreground "black")))) '(message-cited-text ((((class color) (background dark)) (:foreground "SandyBrown")))) '(message-header-name ((((class color) (background dark)) (:foreground "DarkGrey")))) '(message-header-other ((((class color) (background dark)) (:foreground "LightPink2")))) '(message-header-subject ((((class color) (background dark)) (:foreground "yellow2")))) '(message-separator ((((class color) (background dark)) (:foreground "thistle")))) '(region ((t (:background "brown")))) '(tooltip ((((class color)) (:inherit variable-pitch :background "IndianRed1" :foreground "black"))))) The above is a python emacs configure file. Where should I put it to use it? And, are there any other changes I need to make?

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  • Broken cups installation on a ubuntu server 64

    - by user67046
    Hi, I am having trouble with an cups installation. It seems to be in a broken state. When i try to reinstall it it stalls, the same if i try to remove it completely. I am running the server version 64 bit of Ubuntu 10.10 with kernel Linux version 2.6.35-22-server. When i try to start the cups daemon with the following command sudo service cups start It just stays there and nothing happens. I have tried to remove it, to be able to reinstall it, with the following command sudo apt-get purge cups It finally stalls with the following message Removing cups ... After that nothing happens. The process tree for the apt-get command looks like this. 1404 1404 1404 ? 00:00:00 sshd 26495 26495 26495 ? 00:00:00 sshd 26581 26495 26495 ? 00:00:00 sshd 26582 26582 26582 pts/4 00:00:00 bash 27158 27158 26582 pts/4 00:00:00 apt-get 27172 27172 27172 pts/2 00:00:00 dpkg 27176 27172 27172 pts/2 00:00:00 cups.prerm 27178 27172 27172 pts/2 00:00:00 stop I have tried to leave the process running for a while to see if i get any error messages but without success. To get out of it I have to kill the processes. sudo dpkg --configure cups dpkg: error processing cups (--configure): package cups is already installed and configured Errors were encountered while processing: cups sudo dpkg --status cups Package: cups Status: purge ok installed Priority: optional Section: net Installed-Size: 8292 Maintainer: Ubuntu Developers <[email protected]> Architecture: amd64 Version: 1.4.4-6ubuntu2.3 Replaces: cupsddk-drivers (<< 1.4.0) Provides: cupsddk-drivers Depends: libavahi-client3 (>= 0.6.16), libavahi-common3 (>= 0.6.16), libc6 (>= 2.7), libcups2 (>= 1.4.4-3~), libcupscgi1 (>= 1.4.2), libcupsdriver1 (>= 1.4.0), libcupsimage2 (>= 1.4.0), libcupsmime1 (>= 1.4.0), libcupsppdc1 (>= 1.4.0), libdbus-1-3 (>= 1.0.2), libgcc1 (>= 1:4.1.1), libgnutls26 (>= 2.7.14-0), libgssapi-krb5-2 (>= 1.8+dfsg), libijs-0.35, libkrb5-3 (>= 1.6.dfsg.2), libldap-2.4-2 (>= 2.4.7), libpam0g (>= 0.99.7.1), libpaper1, libpoppler7, libslp1, libstdc++6 (>= 4.1.1), libusb-0.1-4 (>= 2:0.1.12), zlib1g (>= 1:1.1.4), debconf (>= 1.2.9) | debconf-2.0, upstart-job, poppler-utils (>= 0.12), procps, ghostscript, lsb-base (>= 3), cups-common (>= 1.4.4), cups-client (>= 1.4.4-6ubuntu2.3), ssl-cert (>= 1.0.11), adduser, bc, ttf-freefont, cups-ppdc Recommends: foomatic-filters (>= 4.0), cups-driver-gutenprint, ghostscript-cups Suggests: cups-bsd, foomatic-db-compressed-ppds | foomatic-db, hplip, xpdf-korean | xpdf-japanese | xpdf-chinese-traditional | xpdf-chinese-simplified, cups-pdf, smbclient (>= 3.0.9), udev Breaks: foomatic-filters (<< 4.0) Conflicts: cupsddk-drivers (<< 1.4.0) Conffiles: /etc/fonts/conf.d/99pdftoopvp.conf a5221cfad70a981c80864229ef56586d /etc/logrotate.d/cups 5bb41fa9900f0d1c565954405a2bd7c4 /etc/default/cups 2b436fbb1a32b82b6aba45a76a1d7e40 /etc/pam.d/cups ff2488324854f7b1e892bb0df062d5f0 /etc/init/cups.conf 1a3cd022e8474e3d2b44640f33ce68e3 /etc/ufw/applications.d/cups 29e98a6d850da251e180c3d68dec2bd3 /etc/apparmor.d/usr.sbin.cupsd 60c4b26bfd5c033baa3dd48a3b2e9911 /etc/cups/cupsd.conf e2c7ec15835ea0939e5e86f7c6efcc03 /etc/cups/snmp.conf 2326a8af1e112676d55245bc5eb459ca /etc/cups/cupsd.conf.default a68d54d76021e857dd1d64edf57d36c5 Description: Common UNIX Printing System(tm) - server The Common UNIX Printing System (or CUPS(tm)) is a printing system and general replacement for lpd and the like. It supports the Internet Printing Protocol (IPP), and has its own filtering driver model for handling various document types. . This package provides the CUPS scheduler/daemon and related files. Original-Maintainer: Debian CUPS Maintainers <[email protected]> Would be greatful if someone could provide some help on how to solve this issue.

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  • KVM guest io is much slower than host io: is that normal?

    - by Evolver
    I have a Qemu-KVM host system setup on CentOS 6.3. Four 1TB SATA HDDs working in Software RAID10. Guest CentOS 6.3 is installed on separate LVM. People say that they see guest performance almost equal to host performance, but I don't see that. My i/o tests are showing 30-70% slower performance on guest than on host system. I tried to change scheduler (set elevator=deadline on host and elevator=noop on guest), set blkio.weight to 1000 in cgroup, change io to virtio... But none of these changes gave me any significant results. This is a guest .xml config part: <disk type='file' device='disk'> <driver name='qemu' type='raw'/> <source file='/dev/vgkvmnode/lv2'/> <target dev='vda' bus='virtio'/> <address type='pci' domain='0x0000' bus='0x00' slot='0x05' function='0x0'/> </disk> There are my tests: Host system: iozone test # iozone -a -i0 -i1 -i2 -s8G -r64k random random KB reclen write rewrite read reread read write 8388608 64 189930 197436 266786 267254 28644 66642 dd read test: one process and then four simultaneous processes # dd if=/dev/vgkvmnode/lv2 of=/dev/null bs=1M count=1024 iflag=direct 1073741824 bytes (1.1 GB) copied, 4.23044 s, 254 MB/s # dd if=/dev/vgkvmnode/lv2 of=/dev/null bs=1M count=1024 iflag=direct skip=1024 & dd if=/dev/vgkvmnode/lv2 of=/dev/null bs=1M count=1024 iflag=direct skip=2048 & dd if=/dev/vgkvmnode/lv2 of=/dev/null bs=1M count=1024 iflag=direct skip=3072 & dd if=/dev/vgkvmnode/lv2 of=/dev/null bs=1M count=1024 iflag=direct skip=4096 1073741824 bytes (1.1 GB) copied, 14.4528 s, 74.3 MB/s 1073741824 bytes (1.1 GB) copied, 14.562 s, 73.7 MB/s 1073741824 bytes (1.1 GB) copied, 14.6341 s, 73.4 MB/s 1073741824 bytes (1.1 GB) copied, 14.7006 s, 73.0 MB/s dd write test: one process and then four simultaneous processes # dd if=/dev/zero of=test bs=1M count=1024 oflag=direct 1073741824 bytes (1.1 GB) copied, 6.2039 s, 173 MB/s # dd if=/dev/zero of=test bs=1M count=1024 oflag=direct & dd if=/dev/zero of=test2 bs=1M count=1024 oflag=direct & dd if=/dev/zero of=test3 bs=1M count=1024 oflag=direct & dd if=/dev/zero of=test4 bs=1M count=1024 oflag=direct 1073741824 bytes (1.1 GB) copied, 32.7173 s, 32.8 MB/s 1073741824 bytes (1.1 GB) copied, 32.8868 s, 32.6 MB/s 1073741824 bytes (1.1 GB) copied, 32.9097 s, 32.6 MB/s 1073741824 bytes (1.1 GB) copied, 32.9688 s, 32.6 MB/s Guest system: iozone test # iozone -a -i0 -i1 -i2 -s512M -r64k random random KB reclen write rewrite read reread read write 524288 64 93374 154596 141193 149865 21394 46264 dd read test: one process and then four simultaneous processes # dd if=/dev/mapper/VolGroup-lv_home of=/dev/null bs=1M count=1024 iflag=direct skip=1024 1073741824 bytes (1.1 GB) copied, 5.04356 s, 213 MB/s # dd if=/dev/mapper/VolGroup-lv_home of=/dev/null bs=1M count=1024 iflag=direct skip=1024 & dd if=/dev/mapper/VolGroup-lv_home of=/dev/null bs=1M count=1024 iflag=direct skip=2048 & dd if=/dev/mapper/VolGroup-lv_home of=/dev/null bs=1M count=1024 iflag=direct skip=3072 & dd if=/dev/mapper/VolGroup-lv_home of=/dev/null bs=1M count=1024 iflag=direct skip=4096 1073741824 bytes (1.1 GB) copied, 24.7348 s, 43.4 MB/s 1073741824 bytes (1.1 GB) copied, 24.7378 s, 43.4 MB/s 1073741824 bytes (1.1 GB) copied, 24.7408 s, 43.4 MB/s 1073741824 bytes (1.1 GB) copied, 24.744 s, 43.4 MB/s dd write test: one process and then four simultaneous processes # dd if=/dev/zero of=test bs=1M count=1024 oflag=direct 1073741824 bytes (1.1 GB) copied, 10.415 s, 103 MB/s # dd if=/dev/zero of=test bs=1M count=1024 oflag=direct & dd if=/dev/zero of=test2 bs=1M count=1024 oflag=direct & dd if=/dev/zero of=test3 bs=1M count=1024 oflag=direct & dd if=/dev/zero of=test4 bs=1M count=1024 oflag=direct 1073741824 bytes (1.1 GB) copied, 49.8874 s, 21.5 MB/s 1073741824 bytes (1.1 GB) copied, 49.8608 s, 21.5 MB/s 1073741824 bytes (1.1 GB) copied, 49.8693 s, 21.5 MB/s 1073741824 bytes (1.1 GB) copied, 49.9427 s, 21.5 MB/s I wonder is that normal situation or did I missed something?

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  • vlans on openvz, centos 6

    - by arheops
    i have centos 6 with openvz installed on it, switch with vlan support. I need following setup: 1) eth0 on openvz have be tagged multiple vlans. 2) each virtualhost have to be in single vlan. yes,i already read wiki on openvz, but it is just not work. I have on main server interface eth0.108 and able ping address on that interface(using nootbook on untagged port vlan 108), but i not able ping address inside container. Main node: [root@box1 conf]# ifconfig eth0 Link encap:Ethernet HWaddr D0:67:E5:F4:11:60 inet6 addr: fe80::d267:e5ff:fef4:1160/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:506 errors:0 dropped:0 overruns:0 frame:0 TX packets:25 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:68939 (67.3 KiB) TX bytes:1780 (1.7 KiB) Interrupt:16 Memory:c0000000-c0012800 eth0.108 Link encap:Ethernet HWaddr D0:67:E5:F4:11:60 inet addr:10.11.108.3 Bcast:10.11.111.255 Mask:255.255.252.0 inet6 addr: fe80::d267:e5ff:fef4:1160/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:238 errors:0 dropped:0 overruns:0 frame:0 TX packets:19 errors:0 dropped:12 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:25890 (25.2 KiB) TX bytes:926 (926.0 b) eth1 Link encap:Ethernet HWaddr D0:67:E5:F4:11:61 inet addr:192.168.23.233 Bcast:192.168.23.255 Mask:255.255.255.0 inet6 addr: fe80::d267:e5ff:fef4:1161/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:1967 errors:0 dropped:0 overruns:0 frame:0 TX packets:356 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:365298 (356.7 KiB) TX bytes:115007 (112.3 KiB) Interrupt:17 Memory:c2000000-c2012800 lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:16436 Metric:1 RX packets:7 errors:0 dropped:0 overruns:0 frame:0 TX packets:7 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:784 (784.0 b) TX bytes:784 (784.0 b) venet0 Link encap:UNSPEC HWaddr 00-00-00-00-00-00-00-00-00-00-00-00-00-00-00-00 inet6 addr: fe80::1/128 Scope:Link UP BROADCAST POINTOPOINT RUNNING NOARP MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:3 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:0 (0.0 b) TX bytes:0 (0.0 b) veth108.0 Link encap:Ethernet HWaddr 00:18:51:DA:94:D5 inet6 addr: fe80::218:51ff:feda:94d5/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:639 errors:0 dropped:0 overruns:0 frame:0 TX packets:5 errors:0 dropped:1 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:17996 (17.5 KiB) TX bytes:308 (308.0 b) virtual node [root@pbx108 /]# ifconfig eth0.108 Link encap:Ethernet HWaddr 00:18:51:CA:B5:C5 inet addr:10.11.108.1 Bcast:10.11.111.255 Mask:255.255.252.0 inet6 addr: fe80::218:51ff:feca:b5c5/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:5 errors:0 dropped:0 overruns:0 frame:0 TX packets:685 errors:0 dropped:2 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:308 (308.0 b) TX bytes:19284 (18.8 KiB) lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:16436 Metric:1 RX packets:683 errors:0 dropped:0 overruns:0 frame:0 TX packets:683 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:76288 (74.5 KiB) TX bytes:76288 (74.5 KiB) /etc/vz/conf/108.conf # RAM PHYSPAGES="0:4000M" # Swap SWAPPAGES="0:512M" # Disk quota parameters (in form of softlimit:hardlimit) DISKSPACE="200G:200G" DISKINODES="20000000:22000000" QUOTATIME="0" # CPU fair scheduler parameter CPUUNITS="4000" VE_ROOT="/vz/root/$VEID" VE_PRIVATE="/vz/private/$VEID" OSTEMPLATE="centos-6-x86_64" ORIGIN_SAMPLE="vswap-256m" NETIF="ifname=eth0.108,mac=00:18:51:CA:B5:C5,host_ifname=veth108.0,host_mac=00:18:51:DA:94:D5" NAMESERVER="8.8.8.8" HOSTNAME="pbx108.localhost" IP_ADDRESS=""

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  • Distributed and/or Parallel SSIS processing

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

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  • MySQL crash. Unknown cause. Signal 11

    - by fortmac
    This is a database that I installed ~6 months ago and had been running fine. This is currently running in Ubuntu 12.04. Attempting to connect to MySQL causes this error: ERROR 2002 (HY000): Can't connect to local MySQL server through socket '/var/run/mysqld/mysqld.sock' (111) Then theres: $ sudo mysqld which returns: 130702 15:38:54 [Note] Plugin 'FEDERATED' is disabled. 130702 15:38:54 InnoDB: The InnoDB memory heap is disabled 130702 15:38:54 InnoDB: Mutexes and rw_locks use GCC atomic builtins 130702 15:38:54 InnoDB: Compressed tables use zlib 1.2.3.4 130702 15:38:54 InnoDB: Initializing buffer pool, size = 128.0M 130702 15:38:54 InnoDB: Completed initialization of buffer pool 130702 15:38:54 InnoDB: highest supported file format is Barracuda. InnoDB: The log sequence number in ibdata files does not match InnoDB: the log sequence number in the ib_logfiles! 130702 15:38:54 InnoDB: Database was not shut down normally! InnoDB: Starting crash recovery. InnoDB: Reading tablespace information from the .ibd files... InnoDB: Restoring possible half-written data pages from the doublewrite InnoDB: buffer... 130702 15:38:55 InnoDB: Waiting for the background threads to start 130702 15:38:56 InnoDB: 1.1.8 started; log sequence number 5201901917 130702 15:38:56 [Note] Server hostname (bind-address): '127.0.0.1'; port: 3306 130702 15:38:56 [Note] - '127.0.0.1' resolves to '127.0.0.1'; 130702 15:38:56 [Note] Server socket created on IP: '127.0.0.1'. 130702 15:38:56 [Note] Event Scheduler: Loaded 0 events 130702 15:38:56 [Note] mysqld: ready for connections. Version: '5.5.28-0ubuntu0.12.04.3' socket: '/var/run/mysqld/mysqld.sock' port: 3306 (Ubuntu) 19:39:02 UTC - mysqld got signal 11 ; This could be because you hit a bug. It is also possible that this binary or one of the libraries it was linked against is corrupt, improperly built, or misconfigured. This error can also be caused by malfunctioning hardware. We will try our best to scrape up some info that will hopefully help diagnose the problem, but since we have already crashed, something is definitely wrong and this may fail. key_buffer_size=16777216 read_buffer_size=131072 max_used_connections=1 max_threads=151 thread_count=1 connection_count=1 It is possible that mysqld could use up to key_buffer_size + (read_buffer_size + sort_buffer_size)*max_threads = 346681 K bytes of memory Hope that's ok; if not, decrease some variables in the equation. Thread pointer: 0x7f9509e51530 Attempting backtrace. You can use the following information to find out where mysqld died. If you see no messages after this, something went terribly wrong... stack_bottom = 7f94f1d3de60 thread_stack 0x30000 mysqld(my_print_stacktrace+0x29)[0x7f95083427b9] mysqld(handle_fatal_signal+0x483)[0x7f9508209b43] /lib/x86_64-linux-gnu/libpthread.so.0(+0xfcb0)[0x7f9506f5bcb0] mysqld(+0x320e1c)[0x7f9508113e1c] mysqld(_ZN4JOIN15alloc_func_listEv+0x9c)[0x7f950812391c] mysqld(_ZN4JOIN7prepareEPPP4ItemP10TABLE_LISTjS1_jP8st_orderS7_S1_S7_P13st_select_lexP18st_select_lex_unit+0x918)[0x7f9508124658] mysqld(_Z12mysql_selectP3THDPPP4ItemP10TABLE_LISTjR4ListIS1_ES2_jP8st_orderSB_S2_SB_yP13select_resultP18st_select_lex_unitP13st_select_lex+0x130)[0x7f950812d060] mysqld(_Z13handle_selectP3THDP3LEXP13select_resultm+0x17c)[0x7f9508132fbc] mysqld(+0x2f6714)[0x7f95080e9714] mysqld(_Z21mysql_execute_commandP3THD+0x16d8)[0x7f95080f1178] mysqld(_Z11mysql_parseP3THDPcjP12Parser_state+0x10f)[0x7f95080f5e0f] mysqld(_Z16dispatch_command19enum_server_commandP3THDPcj+0x1380)[0x7f95080f7260] mysqld(_Z24do_handle_one_connectionP3THD+0x1bd)[0x7f950819b80d] mysqld(handle_one_connection+0x50)[0x7f950819b870] /lib/x86_64-linux-gnu/libpthread.so.0(+0x7e9a)[0x7f9506f53e9a] /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d)[0x7f9506684cbd] Trying to get some variables. Some pointers may be invalid and cause the dump to abort. Query (7f94e0004b80): is an invalid pointer Connection ID (thread ID): 1 Status: NOT_KILLED The manual page at http://dev.mysql.com/doc/mysql/en/crashing.html contains information that should help you find out what is causing the crash. I'm at a loss. What other reports would be useful in diagnosing this? /var/log/mysql.err & /var/log/mysql.log are empty.

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  • Parallelism in .NET – Part 5, Partitioning of Work

    - by Reed
    When parallelizing any routine, we start by decomposing the problem.  Once the problem is understood, we need to break our work into separate tasks, so each task can be run on a different processing element.  This process is called partitioning. Partitioning our tasks is a challenging feat.  There are opposing forces at work here: too many partitions adds overhead, too few partitions leaves processors idle.  Trying to work the perfect balance between the two extremes is the goal for which we should aim.  Luckily, the Task Parallel Library automatically handles much of this process.  However, there are situations where the default partitioning may not be appropriate, and knowledge of our routines may allow us to guide the framework to making better decisions. First off, I’d like to say that this is a more advanced topic.  It is perfectly acceptable to use the parallel constructs in the framework without considering the partitioning taking place.  The default behavior in the Task Parallel Library is very well-behaved, even for unusual work loads, and should rarely be adjusted.  I have found few situations where the default partitioning behavior in the TPL is not as good or better than my own hand-written partitioning routines, and recommend using the defaults unless there is a strong, measured, and profiled reason to avoid using them.  However, understanding partitioning, and how the TPL partitions your data, helps in understanding the proper usage of the TPL. I indirectly mentioned partitioning while discussing aggregation.  Typically, our systems will have a limited number of Processing Elements (PE), which is the terminology used for hardware capable of processing a stream of instructions.  For example, in a standard Intel i7 system, there are four processor cores, each of which has two potential hardware threads due to Hyperthreading.  This gives us a total of 8 PEs – theoretically, we can have up to eight operations occurring concurrently within our system. In order to fully exploit this power, we need to partition our work into Tasks.  A task is a simple set of instructions that can be run on a PE.  Ideally, we want to have at least one task per PE in the system, since fewer tasks means that some of our processing power will be sitting idle.  A naive implementation would be to just take our data, and partition it with one element in our collection being treated as one task.  When we loop through our collection in parallel, using this approach, we’d just process one item at a time, then reuse that thread to process the next, etc.  There’s a flaw in this approach, however.  It will tend to be slower than necessary, often slower than processing the data serially. The problem is that there is overhead associated with each task.  When we take a simple foreach loop body and implement it using the TPL, we add overhead.  First, we change the body from a simple statement to a delegate, which must be invoked.  In order to invoke the delegate on a separate thread, the delegate gets added to the ThreadPool’s current work queue, and the ThreadPool must pull this off the queue, assign it to a free thread, then execute it.  If our collection had one million elements, the overhead of trying to spawn one million tasks would destroy our performance. The answer, here, is to partition our collection into groups, and have each group of elements treated as a single task.  By adding a partitioning step, we can break our total work into small enough tasks to keep our processors busy, but large enough tasks to avoid overburdening the ThreadPool.  There are two clear, opposing goals here: Always try to keep each processor working, but also try to keep the individual partitions as large as possible. When using Parallel.For, the partitioning is always handled automatically.  At first, partitioning here seems simple.  A naive implementation would merely split the total element count up by the number of PEs in the system, and assign a chunk of data to each processor.  Many hand-written partitioning schemes work in this exactly manner.  This perfectly balanced, static partitioning scheme works very well if the amount of work is constant for each element.  However, this is rarely the case.  Often, the length of time required to process an element grows as we progress through the collection, especially if we’re doing numerical computations.  In this case, the first PEs will finish early, and sit idle waiting on the last chunks to finish.  Sometimes, work can decrease as we progress, since previous computations may be used to speed up later computations.  In this situation, the first chunks will be working far longer than the last chunks.  In order to balance the workload, many implementations create many small chunks, and reuse threads.  This adds overhead, but does provide better load balancing, which in turn improves performance. The Task Parallel Library handles this more elaborately.  Chunks are determined at runtime, and start small.  They grow slowly over time, getting larger and larger.  This tends to lead to a near optimum load balancing, even in odd cases such as increasing or decreasing workloads.  Parallel.ForEach is a bit more complicated, however. When working with a generic IEnumerable<T>, the number of items required for processing is not known in advance, and must be discovered at runtime.  In addition, since we don’t have direct access to each element, the scheduler must enumerate the collection to process it.  Since IEnumerable<T> is not thread safe, it must lock on elements as it enumerates, create temporary collections for each chunk to process, and schedule this out.  By default, it uses a partitioning method similar to the one described above.  We can see this directly by looking at the Visual Partitioning sample shipped by the Task Parallel Library team, and available as part of the Samples for Parallel Programming.  When we run the sample, with four cores and the default, Load Balancing partitioning scheme, we see this: The colored bands represent each processing core.  You can see that, when we started (at the top), we begin with very small bands of color.  As the routine progresses through the Parallel.ForEach, the chunks get larger and larger (seen by larger and larger stripes). Most of the time, this is fantastic behavior, and most likely will out perform any custom written partitioning.  However, if your routine is not scaling well, it may be due to a failure in the default partitioning to handle your specific case.  With prior knowledge about your work, it may be possible to partition data more meaningfully than the default Partitioner. There is the option to use an overload of Parallel.ForEach which takes a Partitioner<T> instance.  The Partitioner<T> class is an abstract class which allows for both static and dynamic partitioning.  By overriding Partitioner<T>.SupportsDynamicPartitions, you can specify whether a dynamic approach is available.  If not, your custom Partitioner<T> subclass would override GetPartitions(int), which returns a list of IEnumerator<T> instances.  These are then used by the Parallel class to split work up amongst processors.  When dynamic partitioning is available, GetDynamicPartitions() is used, which returns an IEnumerable<T> for each partition.  If you do decide to implement your own Partitioner<T>, keep in mind the goals and tradeoffs of different partitioning strategies, and design appropriately. The Samples for Parallel Programming project includes a ChunkPartitioner class in the ParallelExtensionsExtras project.  This provides example code for implementing your own, custom allocation strategies, including a static allocator of a given chunk size.  Although implementing your own Partitioner<T> is possible, as I mentioned above, this is rarely required or useful in practice.  The default behavior of the TPL is very good, often better than any hand written partitioning strategy.

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  • Introducing Oracle VM Server for SPARC

    - by Honglin Su
    As you are watching Oracle's Virtualization Strategy Webcast and exploring the great virtualization offerings of Oracle VM product line, I'd like to introduce Oracle VM Server for SPARC --  highly efficient, enterprise-class virtualization solution for Sun SPARC Enterprise Systems with Chip Multithreading (CMT) technology. Oracle VM Server for SPARC, previously called Sun Logical Domains, leverages the built-in SPARC hypervisor to subdivide supported platforms' resources (CPUs, memory, network, and storage) by creating partitions called logical (or virtual) domains. Each logical domain can run an independent operating system. Oracle VM Server for SPARC provides the flexibility to deploy multiple Oracle Solaris operating systems simultaneously on a single platform. Oracle VM Server also allows you to create up to 128 virtual servers on one system to take advantage of the massive thread scale offered by the CMT architecture. Oracle VM Server for SPARC integrates both the industry-leading CMT capability of the UltraSPARC T1, T2 and T2 Plus processors and the Oracle Solaris operating system. This combination helps to increase flexibility, isolate workload processing, and improve the potential for maximum server utilization. Oracle VM Server for SPARC delivers the following: Leading Price/Performance - The low-overhead architecture provides scalable performance under increasing workloads without additional license cost. This enables you to meet the most aggressive price/performance requirement Advanced RAS - Each logical domain is an entirely independent virtual machine with its own OS. It supports virtual disk mutipathing and failover as well as faster network failover with link-based IP multipathing (IPMP) support. Moreover, it's fully integrated with Solaris FMA (Fault Management Architecture), which enables predictive self healing. CPU Dynamic Resource Management (DRM) - Enable your resource management policy and domain workload to trigger the automatic addition and removal of CPUs. This ability helps you to better align with your IT and business priorities. Enhanced Domain Migrations - Perform domain migrations interactively and non-interactively to bring more flexibility to the management of your virtualized environment. Improve active domain migration performance by compressing memory transfers and taking advantage of cryptographic acceleration hardware. These methods provide faster migration for load balancing, power saving, and planned maintenance. Dynamic Crypto Control - Dynamically add and remove cryptographic units (aka MAU) to and from active domains. Also, migrate active domains that have cryptographic units. Physical-to-virtual (P2V) Conversion - Quickly convert an existing SPARC server running the Oracle Solaris 8, 9 or 10 OS into a virtualized Oracle Solaris 10 image. Use this image to facilitate OS migration into the virtualized environment. Virtual I/O Dynamic Reconfiguration (DR) - Add and remove virtual I/O services and devices without needing to reboot the system. CPU Power Management - Implement power saving by disabling each core on a Sun UltraSPARC T2 or T2 Plus processor that has all of its CPU threads idle. Advanced Network Configuration - Configure the following network features to obtain more flexible network configurations, higher performance, and scalability: Jumbo frames, VLANs, virtual switches for link aggregations, and network interface unit (NIU) hybrid I/O. Official Certification Based On Real-World Testing - Use Oracle VM Server for SPARC with the most sophisticated enterprise workloads under real-world conditions, including Oracle Real Application Clusters (RAC). Affordable, Full-Stack Enterprise Class Support - Obtain worldwide support from Oracle for the entire virtualization environment and workloads together. The support covers hardware, firmware, OS, virtualization, and the software stack. SPARC Server Virtualization Oracle offers a full portfolio of virtualization solutions to address your needs. SPARC is the leading platform to have the hard partitioning capability that provides the physical isolation needed to run independent operating systems. Many customers have already used Oracle Solaris Containers for application isolation. Oracle VM Server for SPARC provides another important feature with OS isolation. This gives you the flexibility to deploy multiple operating systems simultaneously on a single Sun SPARC T-Series server with finer granularity for computing resources.  For SPARC CMT processors, the natural level of granularity is an execution thread, not a time-sliced microsecond of execution resources. Each CPU thread can be treated as an independent virtual processor. The scheduler is naturally built into the CPU for lower overhead and higher performance. Your organizations can couple Oracle Solaris Containers and Oracle VM Server for SPARC with the breakthrough space and energy savings afforded by Sun SPARC Enterprise systems with CMT technology to deliver a more agile, responsive, and low-cost environment. Management with Oracle Enterprise Manager Ops Center The Oracle Enterprise Manager Ops Center Virtualization Management Pack provides full lifecycle management of virtual guests, including Oracle VM Server for SPARC and Oracle Solaris Containers. It helps you streamline operations and reduce downtime. Together, the Virtualization Management Pack and the Ops Center Provisioning and Patch Automation Pack provide an end-to-end management solution for physical and virtual systems through a single web-based console. This solution automates the lifecycle management of physical and virtual systems and is the most effective systems management solution for Oracle's Sun infrastructure. Ease of Deployment with Configuration Assistant The Oracle VM Server for SPARC Configuration Assistant can help you easily create logical domains. After gathering the configuration data, the Configuration Assistant determines the best way to create a deployment to suit your requirements. The Configuration Assistant is available as both a graphical user interface (GUI) and terminal-based tool. Oracle Solaris Cluster HA Support The Oracle Solaris Cluster HA for Oracle VM Server for SPARC data service provides a mechanism for orderly startup and shutdown, fault monitoring and automatic failover of the Oracle VM Server guest domain service. In addition, applications that run on a logical domain, as well as its resources and dependencies can be controlled and managed independently. These are managed as if they were running in a classical Solaris Cluster hardware node. Supported Systems Oracle VM Server for SPARC is supported on all Sun SPARC Enterprise Systems with CMT technology. UltraSPARC T2 Plus Systems ·   Sun SPARC Enterprise T5140 Server ·   Sun SPARC Enterprise T5240 Server ·   Sun SPARC Enterprise T5440 Server ·   Sun Netra T5440 Server ·   Sun Blade T6340 Server Module ·   Sun Netra T6340 Server Module UltraSPARC T2 Systems ·   Sun SPARC Enterprise T5120 Server ·   Sun SPARC Enterprise T5220 Server ·   Sun Netra T5220 Server ·   Sun Blade T6320 Server Module ·   Sun Netra CP3260 ATCA Blade Server Note that UltraSPARC T1 systems are supported on earlier versions of the software.Sun SPARC Enterprise Systems with CMT technology come with the right to use (RTU) of Oracle VM Server, and the software is pre-installed. If you have the systems under warranty or with support, you can download the software and system firmware as well as their updates. Oracle Premier Support for Systems provides fully-integrated support for your server hardware, firmware, OS, and virtualization software. Visit oracle.com/support for information about Oracle's support offerings for Sun systems. For more information about Oracle's virtualization offerings, visit oracle.com/virtualization.

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  • CodePlex Daily Summary for Saturday, March 20, 2010

    CodePlex Daily Summary for Saturday, March 20, 2010New ProjectsaMaze Mapa Generator: Parte do Projeto aMazeASP.Net RIA Controls: Simple ASP.Net server controls to integrate Flash and Silverlight controls into your web applications. Included controls don't use any JavaScript,...BMap.NET: BMaps.NET is a .NET application written in C#, for access Bing Maps from your computer without web browsers. With it you can access to Bing Maps an...DaliNet: A .NET API for the Tridonic.Atco DALI USB device.Fabrica7: This is the main project of Fabrica 7 Corp.Image Ripper: A Winform application parse & fetch various HD pictures in specific photo galleries.IoCWrap: Provides interfaces which wrap various IoC container implementations so that it is possible to switch to a different provider without changing any ...NetSockets: NetSockets is a .NET class library that provides easy-to-use, multi-threaded, event-based, client and server network communication.Network Backup: Network Backup is a home and small company backup solution for workstations and a backup server. It incorporates a backup service, scheduler, data ...NUnit.Specs: Specification extensions for NUnit.Nutrivida: Sistema para avaliação de especialização.OHTB Snake: OHTB Snake is a multiplayer game. In this incarnation, snakes may eat 3 types of powerups: standard berries, causing them to grow; sawberries, caus...Playground TDrouen: Tjerk's PlaygroundPower Plan Chooser: This is my first endeavor into a C# Windows application with XAML. The program sits in the notification area (task bar) and lets you quickly activa...Search IMDB in C#: In lack of an IMDB API most of us resort to screen scraping utilities to query the Internet Movie Database. This one is written in C# (.NET 2.0 sta...SIGPRO Desktop: FUNCERNSql2008 PerfMonCounter Fix: Small console application to Fix the SQL 2008 Express Edition installation error: Pequena aplicação para Corrigir o seguinte erro de Instalação do...TwiztedTracker: TwiztedTracker designed to make your bug tracking easy.UmbracoXsltLogHelper: I needed a way to easily add log rows from my xslt macros, and added a single-line-extension for that reason. Then I played around with the umbraco...VisualStock: VisualStock is stock data visualization, analysis application build on the Micorsoft Composite Application Library.WHS File Mover: A Windows Home Server Plugin to move files from a local directory ("drop" or "staging" directory to a folder share)XML based Content Deployment in SharePoint: XML based Content Deployment in Sharepoint helps you to easy deploy content into SharePoint, including webs, lists, items, files and folder. You wi...New ReleasesASP.Net RIA Controls: Version 1.0 Beta: The first functionnal version.BMap.NET: BMap.NET 1: This is the 1st version of BMap.NETDigital Media Processing Project 1: Image Processor: Image Processor 1.0: All features implemented. Added: clipping imageFamily Tree Analyzer: Version 1.3.1.0: Version 1.3.1.0 Added a cancel button to marriage and children IGI Searches Opening Results window now automatically shows first record Updated IGI...Free Silverlight & WPF Chart Control - Visifire: Visifire SL and WPF Charts 3.0.5 Released: Hi, This release contains fix for the following bug: * Chart threw exception if ZoomingEnabled property was set to True at real-time. You ca...Homework Helper: Homework Helper v.1.1: Sorry but the latest release didn't seem to be the latest. This should be the right one!Image Ripper: Image Ripper: Image Ripper based on HtmlAgilityPack and GData library.ManPowerEngine: 0.1: UpdatesSound System added. Bitmap Collider in Physics System works now. Improved the performance of HTTP download in images Physics Framework...NIPO Data Processing Component Framework: NIPO 1.0: The first release of NIPO. Includes the NIPO binary dll and documentation. This release does not include a starter application since it is still in...patterns & practices SharePoint Guidance: SPG2010 Drop7: SharePoint Guidance Drop Notes Microsoft patterns and practices ****************************************** ***************************************...Photosynth Point Cloud Exporter: Photosynth Point Cloud Exporter 1.0.2: Photosynth webservice reference updated to work with the new site OBJ file format support added (Note: this format doesn't support vertex colors)Power Plan Chooser: Power Plan Chooser 1.0.0: Power Plan Chooser is a small utility that sits in the notification area (task bar) in Windows 7 and allows the user to quickly activate one of the...Restart Explorer: RestartExplorer Release 1.00.0001: Initial release: Start, stop and restart Windows Explorer with this utility.Search IMDB in C#: Search IMDB 1.0: Source code included with compiled example.SIMD Detector: 3rd Release: Added Intel AES instruction check Added a CSharp Winform NetSIMDDetector application. Changes the red ball and green ball images to red cross a...Sql2008 PerfMonCounter Fix: Sql2008FIx_PerfMonCounter.zip: Small console application to Fix the SQL 2008 Express Edition installation error: http://support.microsoft.com/kb/300956 Rule Name PerfMonCounter...UmbracoXsltLogHelper: 0.9 Working Beta: First version. XsltLogHelper09 is the installable package.VCC: Latest build, v2.1.30319.0: Automatic drop of latest buildWCF RIA Services Contrib: RIA Services Contrib RC Release: This version is recompiled against the RC release of WCF RIA Services.XML based Content Deployment in SharePoint: SPContentDeployment 1.0.0.0: The first link contains the resources and a sample project. The second link contains everything included in the first package and an additional fo...Yet Another GPS: YAGPS Alfa.2: Yet another GPS tracker is a very powerful GPS track application for Windows Mobile Speed Guage, Sat Count number, KML for google map file formatZGuideTV.NET: ZGuideTV.NET 0.92: Vendredi 19 mars 2010 (ZGuideTV.NET bêta 9 build 0.92) - English below Corrections : - Gestion de certains contrôles dans l'écran principal. - Div...Most Popular ProjectsMetaSharpRawrWBFS ManagerSilverlight ToolkitASP.NET Ajax LibraryMicrosoft SQL Server Product Samples: DatabaseAJAX Control ToolkitLiveUpload to FacebookWindows Presentation Foundation (WPF)ASP.NETMost Active ProjectsLINQ to TwitterRawrOData SDK for PHPjQuery Library for SharePoint Web ServicesDirectQPHPExcelpatterns & practices – Enterprise LibraryBlogEngine.NETFarseer Physics EngineNB_Store - Free DotNetNuke Ecommerce Catalog Module

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  • Thread placement policies on NUMA systems - update

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

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  • Massive Silverlight Giveaway! DevExpress , Syncfusion, Crypto Obfuscator and SL Spy!

    - by mbcrump
    Oh my, have we grown! Maybe I should change the name to Multiple Silverlight Giveaways. So far, my Silverlight giveaways have been such a success that I’m going to be able to give away more than one Silverlight product every month. Last month, we gave away 3 great products. 1) ComponentOne Silverlight Controls 2)  ComponentOne XAP Optimizer (with obfuscation) and 3) Silverlight Spy. This month, we will give away 4 great Silverlight products and have 4 different winners. This way the Silverlight community can grow with more than just one person winning all the prizes. This month we will be giving away: DevExpress Silverlight Controls – Over 50+ Silverlight Controls Syncfusion User Interface Edition - Create stunning line of business silverlight applications with a wide range of components including a high performance grid, docking manager, chart, gauge, scheduler and much more. Crypto Obfuscator – Works for all .NET including Silverlight/Windows Phone 7. Silverlight Spy – provides a license EVERY month for this giveaway. ----------------------------------------------------------------------------------------------------------------------------------------------------------- Win a FREE developer’s license of one of the products listed above! 4 winners will be announced on April 1st, 2011! To be entered into the contest do the following things: Subscribe to my feed. – Use Google Reader, email or whatever is best for you.  Leave a comment below with a valid email account (I WILL NOT share this info with anyone.) Retweet the following : I just entered to win free #Silverlight controls from @mbcrump . Register here: http://mcrump.me/fTSmB8 ! Don’t change the URL because this will allow me to track the users that Tweet this page. Don’t forget to visit each of the vendors sites because they made this possible. MichaelCrump.Net provides Silverlight Giveaways every month. You can also see the latest giveaway by bookmarking http://giveaways.michaelcrump.net . ---------------------------------------------------------------------------------------------------------------------------------------------------------- DevExpress Silverlight Controls Let’s take a quick look at some of the software that is provided in this giveaway. Before we get started with the Silverlight Controls, here is a couple of links to bookmark for the DevExpress Silverlight Controls: The Live Demos of the Silverlight Controls is located here. Great Video Tutorials of the Silverlight Controls are here. One thing that I liked about the DevExpress is how easy it was to find demos of each control. After you install the controls the following Program Group appears complete with “demos” that include full-source.   So, the first question that you may ask is, “What is included?” Here is the official list below. I wanted to show several of the controls that I think developers will use the most. The Book – Very rich animation between switching pages. Very easy to add your own images and custom text. The Menu – This is another control that just looked great. You can easily add images to the menu items with a few lines of XAML. The Window / Dialog Box – You can use this control to make a very beautiful “Wizard” to help your users navigate between pages. This is useful in setup or installation. Calculator – This would be useful for any type of Banking app. Also a first that I’ve seen from a 3rd party Control company. DatePicker – This controls feels a lot smoother than the one provided by Microsoft. It also provides the ability to “Clear” the selection. Overall the DevExpress Silverlight Controls feature a lot of quality controls that you should check out. You can go ahead and download a trial version of it right now by clicking here. If you win the contest you can simply enter your registration key and continue using the product without reinstalling. Syncfusion User Interface Edition Before we get started with the Syncfusion User Interface Edition, here is a couple of links to bookmark. The Live Demos can be found here. You can download a demo of it now at http://www.syncfusion.com/downloads/evalstart. After you install the Syncfusion, you can view the dashboard to run locally installed samples. You may also download the documentation to your local machine if needed. Since the name of the package is “User Interface Edition”, I decided to share several samples that struck me as “awesome”. Dashboard Gauges – I was very impressed with the various gauges they have included. The digital clock also looks very impressive. Diagram – The diagrams are also very easy to build. In the sample project below you can drag/drop the shapes onto the content pane. More complex lines like the Bezier lines are also easy to create using Syncfusion. Scheduling – Another strong component was the Scheduling with built-in support for Themes. Tools – If all of that wasn’t enough, it also comes with a nice pack of essential tools. Syncfusion has a nice variety of Silverlight Controls that you should check out. You can go ahead and download a trial version of it right now by clicking here. Crypto Obfuscator The following feature set is what is important to me in an Obfuscator since I am a Silverlight/WP7 Developer: And thankfully this is what you get in Crypto Obfuscator. You can download a trial version right now if you want to go ahead and play with it. Let’s spend a few moments taking a look at the application. After you have installed Crypto Obfuscator you will see the following screen: After you click on Assemblies you have the option to add your .XAP file in: I went ahead and loaded my .xap file from a Silverlight Application. At this point, you can simply save your project and hit “Obfuscate” and your done. You don’t have to mess with any of the other settings if you don’t want too. Of course, you can change the settings and add obfuscation rules, watermarks and signing if you wish.  After Obfuscation, it looks like this in .NET Reflector: I was trying to browse through methods and it actually crashed Reflector. This confirms the level of protection the obfuscator is providing. If this were a commercial application that my team built, I would have a huge smile on my face right now. Crypto Obfuscator is a great product and I hope you will spend the time learning more about it. Silverlight Spy Silverlight Spy is a runtime inspector tool that will tell you pretty much everything that is going on with the application. Basically, you give it a URL that contains a Silverlight application and you can explore the element tree, events, xaml and so much more. This has already been reviewed on MichaelCrump.net. _________________________________________________________________________________________ Thanks for reading and don’t forget to leave a comment below in order to win one of the four prizes available! Subscribe to my feed

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  • CodePlex Daily Summary for Saturday, June 16, 2012

    CodePlex Daily Summary for Saturday, June 16, 2012Popular ReleasesCosmos (C# Open Source Managed Operating System): Release 92560: Prerequisites Visual Studio 2010 - Any version including Express. Express users must also install Visual Studio 2010 Integrated Shell runtime VMWare - Cosmos can run on real hardware as well as other virtualization environments but our default debug setup is configured for VMWare. VMWare Player (Free). or Workstation VMWare VIX API 1.11AutoUpdaterdotNET : Autoupdate for VB.NET and C# Developer: AutoUpdater.NET 1.1: Release Notes *New feature added that allows user to select remind later interval.Sumzlib: API document: API documentMicrosoft SQL Server Product Samples: Database: AdventureWorks 2008 OLTP Script: Install AdventureWorks2008 OLTP database from script The AdventureWorks database can be created by running the instawdb.sql DDL script contained in the AdventureWorks 2008 OLTP Script.zip file. The instawdb.sql script depends on two path environment variables: SqlSamplesDatabasePath and SqlSamplesSourceDataPath. The SqlSamplesDatabasePath environment variable is set to the default Microsoft ® SQL Server 2008 path. You will need to change the SqlSamplesSourceDataPath environment variable to th...HigLabo: HigLabo_20120613: Bug fix HigLabo.Mail Decode header encoded by CP1252Jasc (just another script compressor): 1.3.1: Updated Ajax Minifier to 4.55.WipeTouch, a jQuery touch plugin: 1.2.0: Changes since 1.1.0: New: wipeMove event, triggered while moving the mouse/finger. New: added "source" to the result object. Bug fix: sometimes vertical wipe events would not trigger correctly. Bug fix: improved tapToClick handler. General code refactoring. Windows Phone 7 is not supported, yet! Its behaviour is completely broken and would require some special tricks to make it work. Maybe in the future...Phalanger - The PHP Language Compiler for the .NET Framework: 3.0.0.3026 (June 2012): Fixes: round( 0.0 ) local TimeZone name TimeZone search compiling multi-script-assemblies PhpString serialization DocDocument::loadHTMLFile() token_get_all() parse_url()BlackJumboDog: Ver5.6.4: 2012.06.13 Ver5.6.4  (1) Web???????、???POST??????????????????Yahoo! UI Library: YUI Compressor for .Net: Version 2.0.0.0 - Ferret: - Merging both 3.5 and 2.0 codebases to a single .NET 2.0 assembly. - MSBuild Task. - NAnt Task.Bumblebee: Version 0.3.1: Changed default config values to decent ones. Restricted visibility of Hive.fs to internal. Added some XML documentation. Added Array.shuffle utility. The dll is also available on NuGet My apologies, the initial source code referenced was missing one file which prevented it from building The source code contains two examples, one in C#, one in F#, illustrating the usage of the framework on the Travelling Salesman Problem: Source CodeSharePoint XSL Templates: SPXSLT 0.0.9: Added new template FixAmpersands. Fixed the contents of the MultiSelectValueCheck.xsl file, which was missing the stylesheet wrapper.ExcelFileEditor: .CS File: nothingBizTalk Scheduled Task Adapter: Release 4.0: Works with BizTalk Server 2010. Compiled in .NET Framework 4.0. In this new version are available small improvements compared to the current version (3.0). We can highlight the following improvements or changes: 24 hours support in “start time” property. Previous versions had an issue with setting the start time, as it shown 12 hours watch but no AM/PM. Daily scheduler review. Solved a small bug on Daily Properties: unable to switch between “Every day” and “on these days” Installation e...Weapsy - ASP.NET MVC CMS: 1.0.0 RC: - Upgrade to Entity Framework 4.3.1 - Added AutoMapper custom version (by nopCommerce Team) - Added missed model properties and localization resources of Plugin Definitions - Minor changes - Fixed some bugsXenta Framework - extensible enterprise n-tier application framework: Xenta Framework 1.8.0 Beta: Catalog and Publication reviews and ratings Store language packs in data base Improve reporting system Improve Import/Export system A lot of WebAdmin app UI improvements Initial implementation of the WebForum app DB indexes Improve and simplify architecture Less abstractions Modernize architecture Improve, simplify and unify API Simplify and improve testing A lot of new unit tests Codebase refactoring and ReSharpering Utilize Castle Windsor Utilize NHibernate ORM ...Microsoft Ajax Minifier: Microsoft Ajax Minifier 4.55: Properly handle IE extension to CSS3 grammar that allows for multiple parameters to functional pseudo-class selectors. add new switch -braces:(new|same) that affects where opening braces are placed in multi-line output. The default, "new" puts them on their own new line; "same" outputs them at the end of the previous line. add new optional values to the -inline switch: -inline:(force|noforce), which can be combined with the existing boolean value via comma-separators; value "force" (which...Microsoft Media Platform: Player Framework: MMP Player Framework 2.7 (Silverlight and WP7): Additional DownloadsSMFv2.7 Full Installer (MSI) - This will install everything you need in order to develop your own SMF player application, including the IIS Smooth Streaming Client. It only includes the assemblies. If you want the source code please follow the link above. Smooth Streaming Sample Player - This is a pre-built player that includes support for IIS Smooth Streaming. You can configure the player to playback your content by simplying editing a configuration file - no need to co...Liberty: v3.2.1.0 Release 10th June 2012: Change Log -Added -Liberty is now digitally signed! If the certificate on Liberty.exe is missing, invalid, or does not state that it was developed by "Xbox Chaos, Open Source Developer," your copy of Liberty may have been altered in some (possibly malicious) way. -Reach Mass biped max health and shield changer -Fixed -H3/ODST Fixed all of the glitches that users kept reporting (also reverted the changes made in 3.2.0.2) -Reach Made some tag names clearer and more consistent between m...Media Companion: Media Companion 3.503b: It has been a while, so it's about time we release another build! Major effort has been for fixing trailer downloads, plus a little bit of work for episode guide tag in TV show NFOs.New Projects.NinJa (dotNinja): An extensive JavaScript Framework revolving around principles found in .NET and aiming to integrate full Intellisense support. bab-rizg: solve unemployment problemBizTalk Multi-part Message Attachments Zipper Pipeline Component: This pipeline component replaces all attachments of a multi-part message, in a send pipeline, for its zipped equivalent.Boggle.Net: A basic implementation of Boggle for WPF.CFScript: CFScript is an ANT-like scripting system for Compact Framework. Tasks like copying files, setting registry values o install CAB files can be done with CFScript.Diablo3: Diablo3Dygraphs.NET: Dygraphs.NETDynamics CRM plugin for nopCommerce: This plugins is a bridge between nopCommerce and Dynamics CRM. nms.gaming: Place holderProject Bright Star: Project Bright Star. Deal with it.RDFSharp: RDFSharp is a library designed to ease the development of .NET applications based on the RDF and Semantic Web data model.SlamCMS: An application framework that allows you to build content managed sites leveraging SharePoint 2010 for publishing with tools to query and manifest your data.test02: no

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  • Building an OpenStack Cloud for Solaris Engineering, Part 1

    - by Dave Miner
    One of the signature features of the recently-released Solaris 11.2 is the OpenStack cloud computing platform.  Over on the Solaris OpenStack blog the development team is publishing lots of details about our version of OpenStack Havana as well as some tips on specific features, and I highly recommend reading those to get a feel for how we've leveraged Solaris's features to build a top-notch cloud platform.  In this and some subsequent posts I'm going to look at it from a different perspective, which is that of the enterprise administrator deploying an OpenStack cloud.  But this won't be just a theoretical perspective: I've spent the past several months putting together a deployment of OpenStack for use by the Solaris engineering organization, and now that it's in production we'll share how we built it and what we've learned so far.In the Solaris engineering organization we've long had dedicated lab systems dispersed among our various sites and a home-grown reservation tool for developers to reserve those systems; various teams also have private systems for specific testing purposes.  But as a developer, it can still be difficult to find systems you need, especially since most Solaris changes require testing on both SPARC and x86 systems before they can be integrated.  We've added virtual resources over the years as well in the form of LDOMs and zones (both traditional non-global zones and the new kernel zones).  Fundamentally, though, these were all still deployed in the same model: our overworked lab administrators set up pre-configured resources and we then reserve them.  Sounds like pretty much every traditional IT shop, right?  Which means that there's a lot of opportunity for efficiencies from greater use of virtualization and the self-service style of cloud computing.  As we were well into development of OpenStack on Solaris, I was recruited to figure out how we could deploy it to both provide more (and more efficient) development and test resources for the organization as well as a test environment for Solaris OpenStack.At this point, let's acknowledge one fact: deploying OpenStack is hard.  It's a very complex piece of software that makes use of sophisticated networking features and runs as a ton of service daemons with myriad configuration files.  The web UI, Horizon, doesn't often do a good job of providing detailed errors.  Even the command-line clients are not as transparent as you'd like, though at least you can turn on verbose and debug messaging and often get some clues as to what to look for, though it helps if you're good at reading JSON structure dumps.  I'd already learned all of this in doing a single-system Grizzly-on-Linux deployment for the development team to reference when they were getting started so I at least came to this job with some appreciation for what I was taking on.  The good news is that both we and the community have done a lot to make deployment much easier in the last year; probably the easiest approach is to download the OpenStack Unified Archive from OTN to get your hands on a single-system demonstration environment.  I highly recommend getting started with something like it to get some understanding of OpenStack before you embark on a more complex deployment.  For some situations, it may in fact be all you ever need.  If so, you don't need to read the rest of this series of posts!In the Solaris engineering case, we need a lot more horsepower than a single-system cloud can provide.  We need to support both SPARC and x86 VM's, and we have hundreds of developers so we want to be able to scale to support thousands of VM's, though we're going to build to that scale over time, not immediately.  We also want to be able to test both Solaris 11 updates and a release such as Solaris 12 that's under development so that we can work out any upgrade issues before release.  One thing we don't have is a requirement for extremely high availability, at least at this point.  We surely don't want a lot of down time, but we can tolerate scheduled outages and brief (as in an hour or so) unscheduled ones.  Thus I didn't need to spend effort on trying to get high availability everywhere.The diagram below shows our initial deployment design.  We're using six systems, most of which are x86 because we had more of those immediately available.  All of those systems reside on a management VLAN and are connected with a two-way link aggregation of 1 Gb links (we don't yet have 10 Gb switching infrastructure in place, but we'll get there).  A separate VLAN provides "public" (as in connected to the rest of Oracle's internal network) addresses, while we use VxLANs for the tenant networks. One system is more or less the control node, providing the MySQL database, RabbitMQ, Keystone, and the Nova API and scheduler as well as the Horizon console.  We're curious how this will perform and I anticipate eventually splitting at least the database off to another node to help simplify upgrades, but at our present scale this works.I had a couple of systems with lots of disk space, one of which was already configured as the Automated Installation server for the lab, so it's just providing the Glance image repository for OpenStack.  The other node with lots of disks provides Cinder block storage service; we also have a ZFS Storage Appliance that will help back-end Cinder in the near future, I just haven't had time to get it configured in yet.There's a separate system for Neutron, which is our Elastic Virtual Switch controller and handles the routing and NAT for the guests.  We don't have any need for firewalling in this deployment so we're not doing so.  We presently have only two tenants defined, one for the Solaris organization that's funding this cloud, and a separate tenant for other Oracle organizations that would like to try out OpenStack on Solaris.  Each tenant has one VxLAN defined initially, but we can of course add more.  Right now we have just a single /24 network for the floating IP's, once we get demand up to where we need more then we'll add them.Finally, we have started with just two compute nodes; one is an x86 system, the other is an LDOM on a SPARC T5-2.  We'll be adding more when demand reaches the level where we need them, but as we're still ramping up the user base it's less work to manage fewer nodes until then.My next post will delve into the details of building this OpenStack cloud's infrastructure, including how we're using various Solaris features such as Automated Installation, IPS packaging, SMF, and Puppet to deploy and manage the nodes.  After that we'll get into the specifics of configuring and running OpenStack itself.

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  • SQL Server and Hyper-V Dynamic Memory Part 2

    - by SQLOS Team
    Part 1 of this series was an introduction and overview of Hyper-V Dynamic Memory. This part looks at SQL Server memory management and how the SQL engine responds to changing OS memory conditions.   Part 2: SQL Server Memory Management As with any Windows process, sqlserver.exe has a virtual address space (VAS) of 4GB on 32-bit and 8TB in 64-bit editions. Pages in its VAS are mapped to pages in physical memory when the memory is committed and referenced for the first time. The collection of VAS pages that have been recently referenced is known as the Working Set. How and when SQL Server allocates virtual memory and grows its working set depends on the memory model it uses. SQL Server supports three basic memory models:   1. Conventional Memory Model   The Conventional model is the default SQL Server memory model and has the following properties: - Dynamic - can grow or shrink its working set in response to load and external (operating system) memory conditions. - OS uses 4K pages – (not to be confused with SQL Server “pages” which are 8K regions of committed memory).- Pageable - Can be paged out to disk by the operating system.   2. Locked Page Model The locked page memory model is set when SQL Server is started with "Lock Pages in Memory" privilege*. It has the following characteristics: - Dynamic - can grow or shrink its working set in the same way as the Conventional model.- OS uses 4K pages - Non-Pageable – When memory is committed it is locked in memory, meaning that it will remain backed by physical memory and will not be paged out by the operating system. A common misconception is to interpret "locked" as non-dynamic. A SQL Server instance using the locked page memory model will grow and shrink (allocate memory and release memory) in response to changing workload and OS memory conditions in the same way as it does with the conventional model.   This is an important consideration when we look at Hyper-V Dynamic Memory – “locked” memory works perfectly well with “dynamic” memory.   * Note in “Denali” (Standard Edition and above), and in SQL 2008 R2 64-bit (Enterprise and above editions) the Lock Pages in Memory privilege is all that is required to set this model. In 2008 R2 64-Bit standard edition it also requires trace flag 845 to be set, in 2008 R2 32-bit editions it requires sp_configure 'awe enabled' 1.   3. Large Page Model The Large page model is set using trace flag 834 and potentially offers a small performance boost for systems that are configured with large pages. It is characterized by: - Static - memory is allocated at startup and does not change. - OS uses large (>2MB) pages - Non-Pageable The large page model is supported with Hyper-V Dynamic Memory (and Hyper-V also supports large pages), but you get no benefit from using Dynamic Memory with this model since SQL Server memory does not grow or shrink. The rest of this article will focus on the locked and conventional SQL Server memory models.   When does SQL Server grow? For “dynamic” configurations (Conventional and Locked memory models), the sqlservr.exe process grows – allocates and commits memory from the OS – in response to a workload. As much memory is allocated as is required to optimally run the query and buffer data for future queries, subject to limitations imposed by:   - SQL Server max server memory setting. If this configuration option is set, the buffer pool is not allowed to grow to more than this value. In SQL Server 2008 this value represents single page allocations, and in “Denali” it represents any size page allocations and also managed CLR procedure allocations.   - Memory signals from OS. The operating system sets a signal on memory resource notification objects to indicate whether it has memory available or whether it is low on available memory. If there is only 32MB free for every 4GB of memory a low memory signal is set, which continues until 64MB/4GB is free. If there is 96MB/4GB free the operating system sets a high memory signal. SQL Server only allocates memory when the high memory signal is set.   To summarize, for SQL Server to grow you need three conditions: a workload, max server memory setting higher than the current allocation, high memory signals from the OS.    When does SQL Server shrink caches? SQL Server as a rule does not like to return memory to the OS, but it will shrink its caches in response to memory pressure. Memory pressure can be divided into “internal” and “external”.   - External memory pressure occurs when the operating system is running low on memory and low memory signals are set. The SQL Server Resource Monitor checks for low memory signals approximately every 5 seconds and it will attempt to free memory until the signals stop.   To free memory SQL Server does the following: ·         Frees unused memory. ·         Notifies Memory Manager Clients to release memory o   Caches – Free unreferenced cache objects. o   Buffer pool - Based on oldest access times.   The freed memory is released back to the operating system. This process continues until the low memory resource notifications stop.    - Internal memory pressure occurs when the size of different caches and allocations increase but the SQL Server process needs to keep its total memory within a target value. For example if max server memory is set and certain caches are growing large, it will cause SQL to free memory for re-use internally, but not to release memory back to the OS. If you lower the value of max server memory you will generate internal memory pressure that will cause SQL to release memory back to the OS.    Memory pressure handling has not changed much since SQL 2005 and it was described in detail in a blog post by Slava Oks.   Note that SQL Server Express is an exception to the above behavior. Unlike other editions it does not assume it is the most important process running on the system but tries to be more “desktop” friendly. It will empty its working set after a period of inactivity.   How does SQL Server respond to changing OS memory?    In SQL Server 2005 support for Hot-Add memory was introduced. This feature, available in Enterprise and above editions, allows the server to make use of any extra physical memory that was added after SQL Server started. Being able to add physical memory when the system is running is limited to specialized hardware, but with the Hyper-V Dynamic Memory feature, when new memory is allocated to a guest virtual machine, it looks like hot-add physical memory to the guest. What this means is that thanks to the hot-add memory feature, SQL Server 2005 and higher can dynamically grow if more “physical” memory is granted to a guest VM by Hyper-V dynamic memory.   SQL Server checks OS memory every second and dynamically adjusts its “target” (based on available OS memory and max server memory) accordingly.   In “Denali” Standard Edition will also have sqlserver.exe support for hot-add memory when running virtualized (i.e. detecting and acting on Hyper-V Dynamic Memory allocations).   How does a SQL Server workload in a guest VM impact Hyper-V dynamic memory scheduling?   When a SQL workload causes the sqlserver.exe process to grow its working set, the Hyper-V memory scheduler will detect memory pressure in the guest VM and add memory to it. SQL Server will then detect the extra memory and grow according to workload demand. In our tests we have seen this feedback process cause a guest VM to grow quickly in response to SQL workload - we are still working on characterizing this ramp-up.    How does SQL Server respond when Hyper-V removes memory from a guest VM through ballooning?   If pressure from other VM's cause Hyper-V Dynamic Memory to take memory away from a VM through ballooning (allocating memory with a virtual device driver and returning it to the host OS), Windows Memory Manager will page out unlocked portions of memory and signal low resource notification events. When SQL Server detects these events it will shrink memory until the low memory notifications stop (see cache shrinking description above).    This raises another question. Can we make SQL Server release memory more readily and hence behave more "dynamically" without compromising performance? In certain circumstances where the application workload is predictable it may be possible to have a job which varies "max server memory" according to need, lowering it when the engine is inactive and raising it before a period of activity. This would have limited applicaability but it is something we're looking into.   What Memory Management changes are there in SQL Server “Denali”?   In SQL Server “Denali” (aka SQL11) the Memory Manager has been re-written to be more efficient. The main changes are summarized in this post. An important change with respect to Hyper-V Dynamic Memory support is that now the max server memory setting includes any size page allocations and managed CLR procedure allocations it now represents a closer approximation to total sqlserver.exe memory usage. This makes it easier to calculate a value for max server memory, which becomes important when configuring virtual machines to work well with Hyper-V Dynamic Memory Startup and Maximum RAM settings.   Another important change is no more AWE or hot-add support for 32-bit edition. This means if you're running a 32-bit edition of Denali you're limited to a 4GB address space and will not be able to take advantage of dynamically added OS memory that wasn't present when SQL Server started (though Hyper-V Dynamic Memory is still a supported configuration).   In part 3 we’ll develop some best practices for configuring and using SQL Server with Dynamic Memory. Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • CodePlex Daily Summary for Tuesday, March 02, 2010

    CodePlex Daily Summary for Tuesday, March 02, 2010New ProjectsAcceptance Test Excel Addin: Acceptance Test Excel Addin is a tool to author, execute and analyze acceptance tests in Excel. The tester write tests using Given-When-Then (Gherk...Adrastus: Related to manage Issue/Item of any type. To be defined later TBDAn opportunity of upgrading Linux operating system: Want to add a new software in Linux operating system? Here is an opportunity. UFS (User Friendly Scheduler) has been designed to make the operating...AspNetPager: AspNetPager is a free custom paging control for ASP.NET web form application. It's one of the most popular ASP.NET third party controls used by chi...AzureRunMe: Run Java, Ruby, Python, [insert language of your choice] applications in Windows Azure. You provide a self contained ZIP file with a runme.bat f...DiffPlex - a .NET Diff Generator: DiffPlex is a combination of a .NET Diffing Library with both a Silverlight and HTML diff viewer.GPA WebClient: GPA project web client.Maintenance Service: A lot of projects need to have a windows service that execute different tasks. If am tired of creating the same service for all this project, so He...Marager Component Framework: Marager Component Framework (mcf)Pod Thrower: An application that gives a simple way to create podcast rss feeds from local computer folders.Rapidshare Episode Downloader: Rapidshare Episode Downloader is a software that enables you (yes, you!) to organize your many episodes of different TV shows in a nice list, prese...Resxus - Total .net string resource management tool: RESXUS is a resource file management tool which is being created under my job-experience of managing multilingual resx files. The first goal of th...SLFX: SLFXTheWhiteAmbit: Hybrid Scanline-Raytracing Engine. VisitorPattern based Scenegraph written in C++. DirectX9 or DirectX10 rendering is used for PrimaryRays and CUDA...TSqlMigrations: Yet another migrations platform right? This is purely sql based (tsql as it is only for Sql Server at this time). This tool is meant to help mana...WAFFLE: Windows Authentication Functional Framework (LE): WAFFLE - Windows Authentication Functional Framework (Light Edition) is a .NET library with a COM interface and a Java bridge that provides a worki...web lib api: This project aim, to pull together the major, web api/webservices for each relervant categorie.WSDLGenerator: A tool to generate a WSDL file from a c# dll which contains one more Microsoft WebServices. The project is build using VS2010RC and uses .net Fram...XNA Re-usable UI Components: The aim of this project is to create a re-usable set of UI game components helping reduce production time for your game. 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It can be used is many business scenarios allowing end-user to configure or interact with the sy...Deblector: Deblector 1.1: This build fixes compatibility with .NET Reflector 6.Desktop Dimmer: March 2010: First release, March 2010EasyDump: EasyDump 1.0.1: Easy Dump 1.0.1 fix duplicate output when execute twiceExtensia: Extensia: Extensia is a very large list of extension methods and a few helper types. Many methods have practical utility (e.g. console parsing) whilst some ...Fluent Assertions: Fluent Assertions release 1.0: The first release of the Fluent Assertions. It contains assertions for the most common types and has several extension points.FolderSize: FolderSize.Win32.1.0.6.0: FolderSize.Win32.1.0.6.0 A simple utility intended to be used to scan harddrives for the folders that take most place and display this to the user...GamerShots.com Screenshot Capture: GamerShots.com Screenshot Capture: Windows Form application written in C# ASP.Net. 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