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• how to restart a Thread?

  - by wizztjh

  It is a RMI Server object , so many sethumanActivity() might be run , how do i make sure the previous changeToFalse thread will be stop or halt before the new changeToFalse run? t. interrupt ? Basically when sethumanActivity() is invoke , the humanActivity will be set to true , but a thread will be run to set it back to false. But I am thinking for how to disable or kill the thread when another sethumanActivity() invoked? public class VitaminDEngine implements VitaminD { public boolean humanActivity = false; changeToFalse cf = new changeToFalse(); Thread t = new Thread(cf); private class changeToFalse implements Runnable{ @Override public void run() { try { Thread.sleep(4000); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } humanActivity = false; } } @Override public void sethumanActivity() throws RemoteException { // TODO Auto-generated method stub humanActivity = true; t.start(); } public boolean gethumanActivity() throws RemoteException { // TODO Auto-generated method stub return humanActivity; } } Edited after the help of SOer package smartOfficeJava; import java.rmi.RemoteException; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; public class VitaminDEngine implements VitaminD { public volatile boolean humanActivity = false; changeToFalse cf = new changeToFalse(); ExecutorService service = Executors.newSingleThreadExecutor(); private class changeToFalse implements Runnable{ @Override public void run() { try { Thread.sleep(4000); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } humanActivity = false; } } @Override public synchronized void sethumanActivity() throws RemoteException { humanActivity = true; service.submit(cf); } public synchronized boolean gethumanActivity() throws RemoteException { return humanActivity; } }

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• volatile keyword seems to be useless?

  - by Finbarr

  import java.util.concurrent.CountDownLatch; import java.util.concurrent.atomic.AtomicInteger; public class Main implements Runnable { private final CountDownLatch cdl1 = new CountDownLatch(NUM_THREADS); private volatile int bar = 0; private AtomicInteger count = new AtomicInteger(0); private static final int NUM_THREADS = 25; public static void main(String[] args) { Main main = new Main(); for(int i = 0; i < NUM_THREADS; i++) new Thread(main).start(); } public void run() { int i = count.incrementAndGet(); cdl1.countDown(); try { cdl1.await(); } catch (InterruptedException e1) { e1.printStackTrace(); } bar = i; if(bar != i) System.out.println("Bar not equal to i"); else System.out.println("Bar equal to i"); } } Each Thread enters the run method and acquires a unique, thread confined, int variable i by getting a value from the AtomicInteger called count. Each Thread then awaits the CountDownLatch called cdl1 (when the last Thread reaches the latch, all Threads are released). When the latch is released each thread attempts to assign their confined i value to the shared, volatile, int called bar. I would expect every Thread except one to print out "Bar not equal to i", but every Thread prints "Bar equal to i". Eh, wtf does volatile actually do if not this?

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• Create new or update existing entity at one go with JPA

  - by Alex R

  A have a JPA entity that has timestamp field and is distinguished by a complex identifier field. What I need is to update timestamp in an entity that has already been stored, otherwise create and store new entity with the current timestamp. As it turns out the task is not as simple as it seems from the first sight. The problem is that in concurrent environment I get nasty "Unique index or primary key violation" exception. Here's my code: // Load existing entity, if any. Entity e = entityManager.find(Entity.class, id); if (e == null) { // Could not find entity with the specified id in the database, so create new one. e = entityManager.merge(new Entity(id)); } // Set current time... e.setTimestamp(new Date()); // ...and finally save entity. entityManager.flush(); Please note that in this example entity identifier is not generated on insert, it is known in advance. When two or more of threads run this block of code in parallel, they may simultaneously get null from entityManager.find(Entity.class, id) method call, so they will attempt to save two or more entities at the same time, with the same identifier resulting in error. I think that there are few solutions to the problem. Sure I could synchronize this code block with a global lock to prevent concurrent access to the database, but would it be the most efficient way? Some databases support very handy MERGE statement that updates existing or creates new row if none exists. But I doubt that OpenJPA (JPA implementation of my choice) supports it. Event if JPA does not support SQL MERGE, I can always fall back to plain old JDBC and do whatever I want with the database. But I don't want to leave comfortable API and mess with hairy JDBC+SQL combination. There is a magic trick to fix it using standard JPA API only, but I don't know it yet. Please help.

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• What are some of the core principles needed to master Multi threading using Delphi?

  - by Gary Becks

  I am kind of new to programming in general (about 8 months with on and off in delphi and a little python here and there) and I am in the process of buying some books. I am interested in learning about concurrent programming and building multi threaded apps using Delphi. Whenever I do a search for "multithreading delphi" or "delphi multithreading tutorial" I seem to get conflicting results as some of the stuff is about using certain libraries (omnithread library) and other stuff seems to be more geared towards programmers with more experience. I have studied quite a few books on delphi and for the most part they seem to kind of skim the surface and not really go into depth on the subject. I have a friend who is a programmer (he uses c++) who recommends I learn what is actually going on with the underlying system when using threads as opposed to jumping into how to actually implement them in my programs first. On amazon.com there are quite a few books on concurrent programming but none of them seem to be made with Delphi in mind. Basically I need to know what are the main things I should be focused on learning before jumping into using threads, if I can/should attempt to learn them using books that are not specifically aimed at delphi developers (don't want to confuse myself reading books with a bunch of code examples in other languages right now) and if there are any reliable resources/books on the subject that anyone here could recommend. Thanks in advance.

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• Writing to a file in a servlet

  - by ankur verma

  I am working in a servlet and has this code : public void doPost(blah blah){ response.setContentType("text/html"); String datasent = request.getParameter("dataSent"); System.out.println(datasent); try{ FileWriter writer = new FileWriter("C:/xyz.txt"); writer.write("hello"); System.out.println("I wrote"); }catch(Exception ex){ ex.printStackTrace(); } response.getWriter().write("I am from server"); } But everytime it is throwing an error saying Access Denied.. Even when there is no lock on that file and there is no file whose name is C:/xyz.txt what should I do? ;( java.io.FileNotFoundException: C:\xyz.txt (Access is denied) at java.io.FileOutputStream.open(Native Method) at java.io.FileOutputStream.<init>(FileOutputStream.java:212) at java.io.FileOutputStream.<init>(FileOutputStream.java:104) at java.io.FileWriter.<init>(FileWriter.java:63) at test.TestServlet.doPost(TestServlet.java:49) at javax.servlet.http.HttpServlet.service(HttpServlet.java:641) at javax.servlet.http.HttpServlet.service(HttpServlet.java:722) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:306) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:210) at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:240) at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:161) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:164) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:108) at org.apache.catalina.valves.AccessLogValve.invoke(AccessLogValve.java:558) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:118) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:379) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:243) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:259) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:237) at org.apache.tomcat.util.net.JIoEndpoint$SocketProcessor.run(JIoEndpoint.java:281) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603) at java.lang.Thread.run(Thread.java:722)

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• WebLogic job scheduling

  - by XpiritO

  Hello, overflowers :) I'm trying to implement a WebLogic job scheduling example, to test my cluster capabilities of fail-over on scheduled tasks (to ensure that these tasks are executed on fail over scenario). With this in mind, I've been following this example and trying to configure everything accordingly. Here are the steps I've done so far: Configured a cluster with 1 admin server (AdminServer) and 2 managed instances (Noddy and Snoopy); Set up database tables (using Oracle XE): ACTIVE and WEBLOGIC_TIMERS; Set up data source to access DB and associated it to the scheduling tasks under "Settings for cluster" "Scheduling"; Implemented a job (TimerListener) and a servlet to initialize the job scheduling, as follows: . package timedexecution; import java.io.IOException; import java.io.PrintWriter; import java.io.Serializable; import java.text.SimpleDateFormat; import java.util.Date; import javax.naming.InitialContext; import javax.naming.NamingException; import javax.servlet.ServletException; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import commonj.timers.Timer; import commonj.timers.TimerListener; import commonj.timers.TimerManager; public class TimerServlet extends HttpServlet { private static final long serialVersionUID = 1L; protected static void logMessage(String message, PrintWriter out){ out.write("<p>"+ message +"</p>"); System.out.println(message); } @Override public void service(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { PrintWriter out = response.getWriter(); // out.println("<html>"); out.println("<head><title>TimerServlet</title></head>"); // try { // logMessage("service() entering try block to intialize the timer from JNDI", out); // InitialContext ic = new InitialContext(); TimerManager jobScheduler = (TimerManager)ic.lookup("weblogic.JobScheduler"); // logMessage("jobScheduler reference " + jobScheduler, out); // jobScheduler.schedule(new ExampleTimerListener(), 0, 30*1000); // logMessage("Timer scheduled!", out); // //execute this job every 30 seconds logMessage("service() started the timer", out); // logMessage("Started the timer - status:", out); // } catch (NamingException ne) { String msg = ne.getMessage(); logMessage("Timer schedule failed!", out); logMessage(msg, out); } catch (Throwable t) { logMessage("service() error initializing timer manager with JNDI name weblogic.JobScheduler " + t,out); } // out.println("</body></html>"); out.close(); } private static class ExampleTimerListener implements Serializable, TimerListener { private static final long serialVersionUID = 8313912206357147939L; public void timerExpired(Timer timer) { SimpleDateFormat sdf = new SimpleDateFormat(); System.out.println( "timerExpired() called at " + sdf.format( new Date() ) ); } } } Then I executed the servlet to start the scheduling on the first managed instance (Noddy server), which returned as expected: (Servlet execution output) service() entering try block to intialize the timer from JNDI jobScheduler reference weblogic.scheduler.TimerServiceImpl@43b4c7 Timer scheduled! service() started the timer Started the timer - status: Which resulted in the creation of 2 rows in my DB tables: WEBLOGIC_TIMERS table state after servlet execution: "EDIT"; "TIMER_ID"; "LISTENER"; "START_TIME"; "INTERVAL"; "TIMER_MANAGER_NAME"; "DOMAIN_NAME"; "CLUSTER_NAME"; ""; "Noddy_1268653040156"; "[datatype]"; "1268653040156"; "30000"; "weblogic.JobScheduler"; "myCluster"; "Cluster" ACTIVE table state after servlet execution: "EDIT"; "SERVER"; "INSTANCE"; "DOMAINNAME"; "CLUSTERNAME"; "TIMEOUT"; ""; "service.SINGLETON_MASTER"; "6382071947583985002/Noddy"; "QRENcluster"; "Cluster"; "10.03.15" Although, the job is not executed as scheduled. It should print a message on the server's log output (Noddy.out file) with a timestamp, saying that the timer had expired. It doesn't. My log files state as follows: Admin server log (myCluster.log file): ####<15/Mar/2010 10H45m GMT> <Warning> <Cluster> <test-ad> <Noddy> <[STANDBY] ExecuteThread: '1' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268649925727> <BEA-000192> <No currently living server was found that could host TimerMaster. The server will retry in a few seconds.> Noddy server log (Noddy.out file): service() entering try block to intialize the timer from JNDI jobScheduler reference weblogic.scheduler.TimerServiceImpl@43b4c7 Timer scheduled! service() started the timer Started the timer - status: <15/Mar/2010 10H45m GMT> <Warning> <Cluster> <BEA-000192> <No currently living server was found that could host TimerMaster. The server will retry in a few seconds.> (Noddy.log file): ####<15/Mar/2010 11H24m GMT> <Info> <Common> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268652270128> <BEA-000628> <Created "1" resources for pool "TxDataSourceOracle", out of which "1" are available and "0" are unavailable.> ####<15/Mar/2010 11H37m GMT> <Info> <Cluster> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<anonymous>> <> <> <1268653040226> <BEA-000182> <Job Scheduler created a job with ID Noddy_1268653040156 for TimerListener with description timedexecution.TimerServlet$ExampleTimerListener@2ce79a> ####<15/Mar/2010 11H39m GMT> <Info> <JDBC> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '3' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268653166307> <BEA-001128> <Connection for pool "TxDataSourceOracle" closed.> Can anyone help me out discovering what's wrong with my configuration? Thanks in advance for your help!

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• JMS MQ Connection closed in JSF 2 SessionBean

  - by veote

  I use Websphere Application Server 8 with MQ Series as Messaging Queue. When I open close the connection in sessionbean in a "postConstruct" method and I use it in another method then its closed. My Code is: import java.io.Serializable; import javax.annotation.PostConstruct; import javax.annotation.PreDestroy; import javax.annotation.Resource; import javax.faces.application.FacesMessage; import javax.faces.bean.ManagedBean; import javax.faces.bean.SessionScoped; import javax.faces.context.FacesContext; import javax.jms.JMSException; import javax.jms.Queue; import javax.jms.QueueConnection; import javax.jms.QueueConnectionFactory; import javax.jms.QueueSender; import javax.jms.QueueSession; import javax.jms.Session; import javax.jms.TextMessage; @ManagedBean @SessionScoped public class MQRequest implements Serializable { private static final long serialVersionUID = 1L; @Resource(name = "jms/wasmqtest/wasmqtest_QCF") private QueueConnectionFactory connectionFactory; @Resource(name = "jms/wasmqtest/Request_Q") private Queue requestQueue; private QueueConnection connection; private String text = ""; public void sendMessage() { System.out.println("Connection in sendMessage: \n" + connection); TextMessage msg; try { QueueSession queueSession = connection.createQueueSession(false, Session.AUTO_ACKNOWLEDGE); QueueSender sender = queueSession.createSender(requestQueue); msg = queueSession.createTextMessage(text); sender.send(msg); queueSession.close(); sender.close(); } catch (JMSException e) { // TODO Auto-generated catch block e.printStackTrace(); } text = ""; } @PostConstruct public void openConenction() { System.out.println("Open Connection"); try { connection = connectionFactory.createQueueConnection(); connection.start(); System.out.println("Connection in OpenConnectioN: \n" + connection); } catch (JMSException e) { e.printStackTrace(); } } @PreDestroy public void closeConnection() { try { System.out.println("Closing Connection"); connection.close(); } catch (JMSException e) { e.printStackTrace(); } } public void setText(String text) { this.text = text; } public String getText() { return text; } } In PostConstruct method the connection is initialized: [21.10.13 07:36:05:574 CEST] 00000025 SystemOut O Connection in OpenConnectioN: com.ibm.ejs.jms.JMSQueueConnectionHandle@36c9b1a managed connection = com.ibm.ejs.jms.JMSManagedQueueConnection@3657e8b physical connection = com.ibm.mq.jms.MQXAQueueConnection@36618b6 closed = false invalid = false restricted methods enabled = false open session handles = [] temporary queues = [] But in sendMessage() method it isnt and I get a ConnectionClosed Problem: [21.10.13 07:36:12:493 CEST] 00000025 SystemOut O Connection in sendMessage: com.ibm.ejs.jms.JMSQueueConnectionHandle@36c9b1a managed connection = null physical connection = null closed = true invalid = false restricted methods enabled = false open session handles = [] temporary queues = [] 21.10.13 07:36:12:461 CEST] 00000025 SystemErr R 15 [WebContainer : 3] INFO org.apache.bval.jsr303.ConfigurationImpl - ignoreXmlConfiguration == true [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R javax.jms.IllegalStateException: Connection closed [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at com.ibm.ejs.jms.JMSConnectionHandle.checkOpen(JMSConnectionHandle.java:821) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at com.ibm.ejs.jms.JMSQueueConnectionHandle.createQueueSession(JMSQueueConnectionHandle.java:206) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at de.volkswagen.wasmqtest.queue.MQRequest.sendMessage(MQRequest.java:51) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:60) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:37) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at java.lang.reflect.Method.invoke(Method.java:611) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.el.parser.AstValue.invoke(AstValue.java:262) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.el.MethodExpressionImpl.invoke(MethodExpressionImpl.java:278) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.myfaces.view.facelets.el.TagMethodExpression.invoke(TagMethodExpression.java:83) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component._MethodExpressionToMethodBinding.invoke(_MethodExpressionToMethodBinding.java:88) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.myfaces.application.ActionListenerImpl.processAction(ActionListenerImpl.java:100) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UICommand.broadcast(UICommand.java:120) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UIViewRoot._broadcastAll(UIViewRoot.java:973) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UIViewRoot.broadcastEvents(UIViewRoot.java:275) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UIViewRoot._process(UIViewRoot.java:1285) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UIViewRoot.processApplication(UIViewRoot.java:711) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.myfaces.lifecycle.InvokeApplicationExecutor.execute(InvokeApplicationExecutor.java:34) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at org.apache.myfaces.lifecycle.LifecycleImpl.executePhase(LifecycleImpl.java:171) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at org.apache.myfaces.lifecycle.LifecycleImpl.execute(LifecycleImpl.java:118) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at javax.faces.webapp.FacesServlet.service(FacesServlet.java:189) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.service(ServletWrapper.java:1147) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.handleRequest(ServletWrapper.java:722) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.handleRequest(ServletWrapper.java:449) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapperImpl.handleRequest(ServletWrapperImpl.java:178) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.filter.WebAppFilterManager.invokeFilters(WebAppFilterManager.java:1020) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.webapp.WebApp.handleRequest(WebApp.java:3703) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.webapp.WebGroup.handleRequest(WebGroup.java:304) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.WebContainer.handleRequest(WebContainer.java:953) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.WSWebContainer.handleRequest(WSWebContainer.java:1655) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.channel.WCChannelLink.ready(WCChannelLink.java:195) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.handleDiscrimination(HttpInboundLink.java:452) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.handleNewRequest(HttpInboundLink.java:511) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.processRequest(HttpInboundLink.java:305) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpICLReadCallback.complete(HttpICLReadCallback.java:83) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.tcp.channel.impl.AioReadCompletionListener.futureCompleted(AioReadCompletionListener.java:165) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.AbstractAsyncFuture.invokeCallback(AbstractAsyncFuture.java:217) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.AsyncChannelFuture.fireCompletionActions(AsyncChannelFuture.java:161) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.AsyncFuture.completed(AsyncFuture.java:138) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.ResultHandler.complete(ResultHandler.java:204) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.ResultHandler.runEventProcessingLoop(ResultHandler.java:775) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.ResultHandler$2.run(ResultHandler.java:905) [21.10.13 07:36:12:605 CEST] 00000025 SystemErr R at com.ibm.ws.util.ThreadPool$Worker.run(ThreadPool.java:1650) Do you have an idea why the connection is closed?

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

  - by ScottGu

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

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• CodePlex Daily Summary for Monday, November 26, 2012

  CodePlex Daily Summary for Monday, November 26, 2012Popular ReleasesRedmine Reports: Redmine Reports V 1.0.7: added new sample report added new DateRange feature for report generation (see issue Tracker ID 15372) updated to latest MySql (6.6.4.0)sb0t v.5: sb0t 5.00 alpha 4: First public alpha release. Don't be surprised if it crashes. :)datajs - JavaScript Library for data-centric web applications: datajs version 1.1.0: datajs is a cross-browser and UI agnostic JavaScript library that enables data-centric web applications with the following features: OData client that enables CRUD operations including batching and metadata support using both ATOM and JSON payloads. Single store abstraction that provides a common API on top of HTML5 local storage technologies. Data cache component that allows reading data ranges from a collection and storing them locally to reduce the number of network requests. Changes...VFPX: Code Analyst 1.0.3: Code Analyst 1.0.3 addresses a bug discovered with FoxCodePlus where the initialization code does not properly recognize the location of the folder as well as some of the open issues in the Issue Tracker.Team Foundation Server Administration Tool: 2.2: TFS Administration Tool 2.2 supports the Team Foundation Server 2012 Object Model. Visual Studio 2012 or Team Explorer 2012 must be installed before you can install this tool. You can download and install Team Explorer 2012 from http://aka.ms/TeamExplorer2012. There are no functional changes between the previous release (2.1) and this release.XrmServiceToolkit - A CRM 2011 JavaScript Library: XrmServiceToolkit 1.3.1: Version: 1.3.1 Date: November, 2012 Dependency: JSON2, jQuery (latest or 1.7.2 above) New Feature - A change of logic to increase peroformance when returning large number of records New Function - XrmServiceToolkit.Soap.QueryAll: Return all available records by query options (>5k+) New Fix - XrmServiceToolkit.Rest.RetrieveMultiple not returning records more than 50 New Fix - XrmServiceToolkit.Soap.Business error when refering number fields like (int, double, float) New ...Coding Guidelines for C# 3.0, C# 4.0 and C# 5.0: Coding Guidelines for CSharp 3.0, 4.0 and 5.0: See Change History for a detailed list of modifications.Math.NET Numerics: Math.NET Numerics v2.3.0: Portable Library Build: Adds support for WP8 (.Net 4.0 and higher, SL5, WP8 and .NET for Windows Store apps) New: portable build also for F# extensions (.Net 4.5, SL5 and .NET for Windows Store apps) NuGet: portable builds are now included in the main packages, no more need for special portable packages Linear Algebra: Continued major storage rework, in this release focusing on vectors (previous release was on matrices) Thin QR decomposition (in addition to existing full QR) Static Cr...ExtJS based ASP.NET 2.0 Controls: FineUI v3.2.1: +2012-11-25 v3.2.1 +????????。 -MenuCheckBox?CheckedChanged??????，??????????。 -???????window.IDS??????????????。 -?????（??TabCollection，ControlBaseCollection）???，????????????????。 +Grid??。 -??SelectAllRows??。 -??PageItems??，?????????????，?????、??、?????。 -????grid/gridpageitems.aspx、grid/gridpageitemsrowexpander.aspx、grid/gridpageitems_pagesize.aspx。 -???????????????????。 -??ExpandAllRowExpanders??，?????????????????（grid/gridrowexpanderexpandall2.aspx）。 -??????ExpandRowExpande...VidCoder: 1.4.9 Beta: Updated HandBrake core to SVN 5079. Fixed crashes when encoding DVDs with title gaps.ZXing.Net: ZXing.Net 0.10.0.0: On the way to a release 1.0 the API should be stable now with this version. sync with rev. 2521 of the java version windows phone 8 assemblies improvements and fixesCharmBar: Windows 8 Charm Bar for Windows 7: Windows 8 Charm Bar for Windows 7BlackJumboDog: Ver5.7.3: 2012.11.24 Ver5.7.3 (1)SMTP???????、?????????、??????????????????????? (2)?????????、?????????????????????????? (3)DNS???????CNAME????CNAME????????????????? (4)DNS????????????TTL???????? (5)???????????????????????、?????????????????? (6)???????????????????????????????Liberty: v3.4.3.0 Release 23rd November 2012: Change Log -Added -H4 A dialog which gives further instructions when attempting to open a "Halo 4 Data" file -H4 Added a short note to the weapon editor stating that dropping your weapons will cap their ammo -Reach Edit the world's gravity -Reach Fine invincibility controls in the object editor -Reach Edit object velocity -Reach Change the teams of AI bipeds and vehicles -Reach Enable/disable fall damage on the biped editor screen -Reach Make AIs deaf and/or blind in the objec...Umbraco CMS: Umbraco 4.11.0: NugetNuGet BlogRead the release blog post for 4.11.0. Whats new50 bugfixes (see the issue tracker for a complete list) Read the documentation for the MVC bits. Breaking changesGetPropertyValue now returns an object, not a string (only affects upgrades from 4.10.x to 4.11.0) NoteIf you need Courier use the release candidate (as of build 26). The code editor has been greatly improved, but is sometimes problematic in Internet Explorer 9 and lower. Previously it was just disabled for IE and...Audio Pitch & Shift: Audio Pitch And Shift 5.1.0.3: Fixed supported files list on open dialog (added .pls and .m3u) Impulse Media Player splash message (can be disabled anyway)WiX Toolset: WiX v3.7 RC: WiX v3.7 RC (3.7.1119.0) provides feature complete Bundle update and reference tracking plus several bug fixes. For more information see Rob's blog post about the release: http://robmensching.com/blog/posts/2012/11/20/WiX-v3.7-Release-Candidate-availablePicturethrill: Version 2.11.20.0: Fixed up Bing image provider on Windows 8Excel AddIn to reset the last worksheet cell: XSFormatCleaner.xla: Modified the commandbar code to use CommandBar IDs instead of English names.Json.NET: Json.NET 4.5 Release 11: New feature - Added ITraceWriter, MemoryTraceWriter, DiagnosticsTraceWriter New feature - Added StringEscapeHandling with options to escape HTML and non-ASCII characters New feature - Added non-generic JToken.ToObject methods New feature - Deserialize ISet<T> properties as HashSet<T> New feature - Added implicit conversions for Uri, TimeSpan, Guid New feature - Missing byte, char, Guid, TimeSpan and Uri explicit conversion operators added to JToken New feature - Special case...New ProjectsAirlocker: Airlocker is a lightweight yet effective backup software. Right-click your folder, select "Send To -> Airlocker", and that's all! Next time you do it, only new & changed files will be copied.Architecture Lab: Domain as XML: Domain as XML - Driven Development: Visual Studio Code SamplesBase de datos 2 Farmacia distribuida: This is my summaryBullfrog project 2k11: This project was our entry for the XNA challenge 2011 at Games Fleadh. This is currently being used for a college project.CedarLogic SharePoint Utilities and Extensions: Various utilities, tools, features that provide cross cutting capabilities in support of Windows SharePoint Services 3.0 and Microsoft Office SharePoint Server 2007.Concurrent Extensions Library (CEL): Concurrent Extensions Library (CEL) provides functionality and implementations commonly useful in concurrent programming. CookieChipper - Tasty treats!: Explore your IE cookie cache dispaying forensic information, lock favorite cookies, delete all unlocked, search, manage, enjoy!CqRS Event Sourcing Sample: CqRS SampleCrivo de Erastóteles: Simples programa que devolve à você todos os números primos entre 1 e 1 bilhão em um arquivo de saída chamado "primos.txt" Simply program returns all prime numbers from 1 to 1 bi into a "primos.txt" out file.DonNicky.Common: A set of helpers for everyday coding: extensions for common purpose classes like Type, IEnumerable or Assembly, reflection routines, xml parsing and validation.DotNetDevNet iPhone App: Now you can find out what meetings are being held at DotNetDevNet through your iPhone. Information on the meeting and the speakersEuro for Windows XP: A simple tool and sample to change Estonian currency from Estonian Krone (kr) to Euro (€). Applies to all versions of Windows and from .NET 2.0 which is default build. The sample creates a custom locale and updates existing users through Registry.Floridum: Project for a XML Database.FsSignals: FsSignals is a push reactive library. Fuse8.CMF: Free Content Management System based on Microsoft ASP.NET MVC 3Fuse8.DF.Practicies: Domain Framework Best practicesFuse8.GlobalisationFramework: GlobalizationHatena Netfx Library: .NET Library for Hatena Services.Ideopuzzle: A puzzle gameinohigo: a programming language that was developed by inohiro.jasBetaApplication: Beta place for the JAS-applicationJasmine - Community Management Infrastructure: "Jasmine" is a XML based Community Management Infrastructure.Jupiter Toolkit: Jupiter Toolkit was a temporary name used for WinRT XAML Toolkit. If you clicked a link to get here - replace jupitertoolkit with winrtxamltoolkit in the URL.Kiwi Repo: Il modo più semplice per creare e gestire i tuoi repository cydia su windowsKnak: .NET APIs for CLR Type Mapping and Micro-ORM. Fast and intuitive, convention based, delivered in small C# source files.Micajah Mindtouch Deki Wiki Copier: Small C# application to move data between 2 Deki Wiki installs or, more importantly, from a wik.is account to a locally installed systemmisframework: misframeworkMulyareksa Jayasakti Accounting: Sistem Informasi Akunting Penjualan Jasa PT Mulyareksa Jayasakti SemarangMutualGuaranteeOnlineServices: MutualGuaranteeOnlineServicesMySQL PowerShell Extensions: MySQL PowerShell Extensions Provides a set of PowerShell Cmdlets to manipulate remote or local MySQL Database Server.Old Book Transaction: Website trao d?i sách cu.OneFineDay: ???Paymill Wrapper .NET: Paymill Wrapper. NET is an API for easy integration for recurring billings and payments online through the product https://www.paymill.comPoliceHealth: Police Health SystemRbac_Eshoping: Rbac Std ProjectRhombus: Rhombus is a suite of applications to make it easier for small software teams to document what they and others are doing with a minimum of effort. It is developed on the .NET 4.0 framework, primarily in C# and ASP.NET.Rollout Sharepoint Solutions - ROSS: ROSS performs the following actions: - Delete sitecollection and restart services - 'Get Latest Version' from SourceSafe - Rebuild Solution - Install all wsp solutions - Create SiteCollections - Check for build en provisioning errors - Send email to developers if errors occurredRooBooks: RooBooks - Books management tool for students and such. (circa 2004)SEI_Parkour: “Project ParkOUR” is the codename for the product being developed by members of the Software Engineering Incorporated team.Simple Memory: A simple Memory. You can define the dimension x*y. Also there are two playing modes possible. - Pairs with the same cards (classical memory) - Pairs with different cards (find the same meaning)Simples: A dot-net-a-ma-bob eco-system designed to be 'simples' to use.Slatebox.js: Real-time mind-mapping and concept drawing.Sychevs: ?????????? ?????Tambourine.NUnit: Provides pivot report creating from NUnit combinatorial test result xml files. Also supports viewing of pivot data and its exporting to xlsx.TheAssassin's OpenSource Software: Open source software for everyone's use. Mostly written in Python 3 (3.2, 3.3).Titan: a lightweight object-relational mapping framework TT: Awesome TT appUkázkové projekty: Obsahuje ukázkové projekty uživatele TenCoKaciStromy.Unified Cloud API: This API aims to provide a single interface for different cloud-based services and their corresponding providers.VolgaTransTelecomClient: VolgaTransTelecomClient makes it easier for clients of "Volga TransTelecom" company to get info about account. It's developed in C#.Windows Phone Shortcuts: This a windows phone app project. Shortcuts for Bluetooth, Wi-Fi, Cellular, Airplane Mode from the Start Screen.WPFResumeVideo: Play video on any computer, and resume where you left offWyvern's Depot: Personal code repository.?????????: ??????????，???。

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• Postfix Submission port issue

  - by RevSpot

  I have setup postfix+mailman on my debian server and i have an issue with postfix submission port. My ISP blocks SMTP on port 25 to prevent *spams and i must to use submission port (587). I have uncomment the following line from master.cf (/etc/postfix/) but nothing happens. submission inet n - - - - smtpd This is my mail logs file when i try to invite a user to mailman list Nov 6 00:35:34 myhostname postfix/qmgr[1763]: C90BF1060D: from=<[email protected]>, size=1743, nrcpt=1 (queue active) Nov 6 00:35:34 myhostname postfix/qmgr[1763]: DF54B10608: from=<[email protected]>, size=488, nrcpt=1 (queue active) Nov 6 00:35:34 myhostname postfix/qmgr[1763]: 80F0D10609: from=<[email protected]>, size=483, nrcpt=1 (queue active) Nov 6 00:35:55 myhostname postfix/smtp[2269]: connect to gmail-smtp-in.l.google.com[173.194.70.27]:25: Connection timed out Nov 6 00:35:55 myhostname postfix/smtp[2270]: connect to gmail-smtp-in.l.google.com[173.194.70.27]:25: Connection timed out Nov 6 00:35:55 myhostname postfix/smtp[2271]: connect to gmail-smtp-in.l.google.com[173.194.70.27]:25: Connection timed out Nov 6 00:36:16 myhostname postfix/smtp[2269]: connect to alt1.gmail-smtp-in.l.google.com[74.125.143.26]:25: Connection timed out Nov 6 00:36:16 myhostname postfix/smtp[2270]: connect to alt1.gmail-smtp-in.l.google.com[74.125.143.26]:25: Connection timed out Nov 6 00:36:16 myhostname postfix/smtp[2271]: connect to alt1.gmail-smtp-in.l.google.com[74.125.143.26]:25: Connection timed out Nov 6 00:36:37 myhostname postfix/smtp[2269]: connect to alt2.gmail-smtp-in.l.google.com[74.125.141.26]:25: Connection timed out Nov 6 00:36:37 myhostname postfix/smtp[2270]: connect to alt2.gmail-smtp-in.l.google.com[74.125.141.26]:25: Connection timed out Nov 6 00:36:37 myhostname4 postfix/smtp[2271]: connect to alt2.gmail-smtp-in.l.google.com[74.125.141.26]:25: Connection timed out Nov 6 00:36:58 myhostname postfix/smtp[2269]: connect to alt3.gmail-smtp-in.l.google.com[173.194.64.26]:25: Connection timed out Nov 6 00:36:58 myhostname postfix/smtp[2270]: connect to alt3.gmail-smtp-in.l.google.com[173.194.64.26]:25: Connection timed out Nov 6 00:36:58 myhostname postfix/smtp[2271]: connect to alt3.gmail-smtp-in.l.google.com[173.194.64.26]:25: Connection timed out Nov 6 00:37:19 myhostname postfix/smtp[2269]: connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out Nov 6 00:37:19 myhostname postfix/smtp[2270]: connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out Nov 6 00:37:19 myhostname postfix/smtp[2269]: C90BF1060D: to=<[email protected]>, relay=none, delay=23711, delays=23606/0.03/105/0, dsn=4.4.1, status=deferred (connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out) Nov 6 00:37:19 myhostname postfix/smtp[2271]: connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out Nov 6 00:37:19 myhostname postfix/smtp[2270]: DF54B10608: to=<[email protected]>, relay=none, delay=23882, delays=23777/0.03/105/0, dsn=4.4.1, status=deferred (connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out) Nov 6 00:37:19 myhostname postfix/smtp[2271]: 80F0D10609: to=<[email protected]>, relay=none, delay=23875, delays=23770/0.04/105/0, dsn=4.4.1, status=deferred (connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out) main.cf smtpd_banner = $myhostname ESMTP $mail_name (Debian/GNU) biff = no append_dot_mydomain = no readme_directory = no smtpd_tls_cert_file=/etc/ssl/certs/ssl-cert-snakeoil.pem smtpd_tls_key_file=/etc/ssl/private/ssl-cert-snakeoil.key smtpd_use_tls=yes smtpd_tls_session_cache_database = btree:${data_directory}/smtpd_scache smtp_tls_session_cache_database = btree:${data_directory}/smtp_scache myhostname = mail.mydomain.com alias_maps = hash:/etc/aliases alias_database = hash:/etc/aliases myorigin = /etc/mailname mydestination = mail.mydomain.com, localhost.mydomain.com,localhost relayhost = relay_domains = $mydestination, mail.mydomain.com relay_recipient_maps = hash:/var/lib/mailman/data/virtual-mailman transport_maps = hash:/etc/postfix/transport mailman_destination_recipient_limit = 1 mynetworks = 127.0.0.0/8 [::ffff:127.0.0.0]/104 [::1]/128 mailbox_command = procmail -a "$EXTENSION" mailbox_size_limit = 0 recipient_delimiter = + inet_interfaces = all local_recipient_maps = master.cf smtp inet n - - - - smtpd submission inet n - - - - smtpd # -o smtpd_tls_security_level=encrypt # -o smtpd_sasl_auth_enable=yes # -o smtpd_client_restrictions=permit_sasl_authenticated,reject # -o milter_macro_daemon_name=ORIGINATING #smtps inet n - - - - smtpd # -o smtpd_tls_wrappermode=yes # -o smtpd_sasl_auth_enable=yes # -o smtpd_client_restrictions=permit_sasl_authenticated,reject # -o milter_macro_daemon_name=ORIGINATING #628 inet n - - - - qmqpd pickup fifo n - - 60 1 pickup cleanup unix n - - - 0 cleanup qmgr fifo n - n 300 1 qmgr #qmgr fifo n - - 300 1 oqmgr tlsmgr unix - - - 1000? 1 tlsmgr rewrite unix - - - - - trivial-rewrite bounce unix - - - - 0 bounce defer unix - - - - 0 bounce trace unix - - - - 0 bounce verify unix - - - - 1 verify flush unix n - - 1000? 0 flush proxymap unix - - n - - proxymap proxywrite unix - - n - 1 proxymap smtp unix - - - - - smtp # When relaying mail as backup MX, disable fallback_relay to avoid MX loops relay unix - - - - - smtp -o smtp_fallback_relay= # -o smtp_helo_timeout=5 -o smtp_connect_timeout=5 showq unix n - - - - showq error unix - - - - - error retry unix - - - - - error discard unix - - - - - discard local unix - n n - - local virtual unix - n n - - virtual lmtp unix - - - - - lmtp anvil unix - - - - 1 anvil scache unix - - - - 1 scache # # ==================================================================== # # maildrop. See the Postfix MAILDROP_README file for details. # Also specify in main.cf: maildrop_destination_recipient_limit=1 # maildrop unix - n n - - pipe flags=DRhu user=vmail argv=/usr/bin/maildrop -d ${recipient} # # ==================================================================== # # See the Postfix UUCP_README file for configuration details. # uucp unix - n n - - pipe flags=Fqhu user=uucp argv=uux -r -n -z -a$sender - $nexthop!rmail ($recipient) # # Other external delivery methods. # ifmail unix - n n - - pipe flags=F user=ftn argv=/usr/lib/ifmail/ifmail -r $nexthop ($recipient) bsmtp unix - n n - - pipe flags=Fq. user=bsmtp argv=/usr/lib/bsmtp/bsmtp -t$nexthop -f$sender $recipient scalemail-backend unix - n n - 2 pipe flags=R user=scalemail argv=/usr/lib/scalemail/bin/scalemail-store ${nexthop} ${user} ${extension} mailman unix - n n - - pipe flags=FR user=list argv=/usr/lib/mailman/bin/postfix-to-mailman.py ${nexthop} ${user}

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• Apache2 benchmarks - very poor performance

  - by andrzejp

  I have two servers on which I test the configuration of apache2. The first server: 4GB of RAM, AMD Athlon (tm) 64 X2 Dual Core Processor 5600 + Apache 2.2.3, mod_php, mpm prefork: Settings: Timeout 100 KeepAlive On MaxKeepAliveRequests 150 KeepAliveTimeout 4 <IfModule Mpm_prefork_module> StartServers 7 MinSpareServers 15 MaxSpareServers 30 MaxClients 250 MaxRequestsPerChild 2000 </ IfModule> Compiled in modules: core.c mod_log_config.c mod_logio.c prefork.c http_core.c mod_so.c Second server: 8GB of RAM, Intel (R) Core (TM) i7 CPU [email protected] Apache 2.2.9, **fcgid, mpm worker, suexec** PHP scripts are running via fcgi-wrapper Settings: Timeout 100 KeepAlive On MaxKeepAliveRequests 100 KeepAliveTimeout 4 <IfModule Mpm_worker_module> StartServers 10 MaxClients 200 MinSpareThreads 25 MaxSpareThreads 75 ThreadsPerChild 25 MaxRequestsPerChild 1000 </ IfModule> Compiled in modules: core.c mod_log_config.c mod_logio.c worker.c http_core.c mod_so.c The following test results, which are very strange! New server (dynamic content - php via fcgid+suexec): Server Software: Apache/2.2.9 Server Hostname: XXXXXXXX Server Port: 80 Document Path: XXXXXXX Document Length: 179512 bytes Concurrency Level: 10 Time taken for tests: 0.26276 seconds Complete requests: 1000 Failed requests: 0 Total transferred: 179935000 bytes HTML transferred: 179512000 bytes Requests per second: 38.06 Transfer rate: 6847.88 kb/s received Connnection Times (ms) min avg max Connect: 2 4 54 Processing: 161 257 449 Total: 163 261 503 Old server (dynamic content - mod_php): Server Software: Apache/2.2.3 Server Hostname: XXXXXX Server Port: 80 Document Path: XXXXXX Document Length: 187537 bytes Concurrency Level: 10 Time taken for tests: 173.073 seconds Complete requests: 1000 Failed requests: 22 (Connect: 0, Length: 22, Exceptions: 0) Total transferred: 188003372 bytes HTML transferred: 187546372 bytes Requests per second: 5777.91 Transfer rate: 1086267.40 kb/s received Connnection Times (ms) min avg max Connect: 3 3 28 Processing: 298 1724 26615 Total: 301 1727 26643 Old server: Static content (jpg file) Server Software: Apache/2.2.3 Server Hostname: xxxxxxxxx Server Port: 80 Document Path: /images/top2.gif Document Length: 40486 bytes Concurrency Level: 100 Time taken for tests: 3.558 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 Total transferred: 40864400 bytes HTML transferred: 40557482 bytes Requests per second: 281.09 [#/sec] (mean) Time per request: 355.753 [ms] (mean) Time per request: 3.558 [ms] (mean, across all concurrent requests) Transfer rate: 11217.51 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 3 11 4.5 12 23 Processing: 40 329 61.4 339 1009 Waiting: 6 282 55.2 293 737 Total: 43 340 63.0 351 1020 New server - static content (jpg file) Server Software: Apache/2.2.9 Server Hostname: XXXXX Server Port: 80 Document Path: /images/top2.gif Document Length: 40486 bytes Concurrency Level: 100 Time taken for tests: 3.571531 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 Total transferred: 41282792 bytes HTML transferred: 41030080 bytes Requests per second: 279.99 [#/sec] (mean) Time per request: 357.153 [ms] (mean) Time per request: 3.572 [ms] (mean, across all concurrent requests) Transfer rate: 11287.88 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 2 63 24.8 66 119 Processing: 124 278 31.8 282 391 Waiting: 3 70 28.5 66 164 Total: 126 341 35.9 350 443 I noticed that in the apache error.log is a lot of entries: [notice] mod_fcgid: call /www/XXXXX/public_html/forum/index.php with wrapper /www/php-fcgi-scripts/XXXXXX/php-fcgi-starter What I have omitted, or do not understand? Such a difference in requests per second? Is it possible? What could be the cause?

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• Create user in Oracle 11g with same priviledges as in Oracle 10g XE

  - by Álvaro G. Vicario

  I'm a PHP developer (not a DBA) and I've been working with Oracle 10g XE for a while. I'm used to XE's simplified user management: Go to Administration/ Users/ Create user Assign user name and password Roles: leave the default ones (connect and resource) Privileges: click on "Enable all" to select the 11 possible ones Create This way I get a user that has full access to its data and no access to everything else. This is fine since I only need it to develop my app. When the app is to be deployed, the client's DBAs configure the environment. Now I have to create users in a full Oracle 11g server and I'm completely lost. I have a new concept (profiles) and there're like 20 roles and hundreds of privileges in various categories. What steps do I need to complete in Oracle Enterprise Manager in order to obtain a user with the same privileges I used to assign in XE? ==== UPDATE ==== I think I'd better provide a detailed explanation so I make myself clearer. This is how I create a user in 10g XE: Roles: [X] CONNECT [X] RESOURCE [ ] DBA Direct Asignment System Privileges: [ ] CREATE DATABASE LINK [ ] CREATE MATERIALIZED VIEW [ ] CREATE PROCEDURE [ ] CREATE PUBLIC SYNONYM [ ] CREATE ROLE [ ] CREATE SEQUENCE [ ] CREATE SYNONYM [ ] CREATE TABLE [ ] CREATE TRIGGER [ ] CREATE TYPE [ ] CREATE VIEW I click on Enable All and I'm done. This is what I'm asked when doing the same in 11g: Profile: (*) DEFAULT ( ) WKSYS_PROF ( ) MONITORING_PROFILE Roles: CONNECT: [ ] Admin option [X] Default value Edit List: AQ_ADMINISTRATOR_ROLE AQ_USER_ROLE AUTHENTICATEDUSER CSW_USR_ROLE CTXAPP CWM_USER DATAPUMP_EXP_FULL_DATABASE DATAPUMP_IMP_FULL_DATABASE DBA DELETE_CATALOG_ROLE EJBCLIENT EXECUTE_CATALOG_ROLE EXP_FULL_DATABASE GATHER_SYSTEM_STATISTICS GLOBAL_AQ_USER_ROLE HS_ADMIN_ROLE IMP_FULL_DATABASE JAVADEBUGPRIV JAVAIDPRIV JAVASYSPRIV JAVAUSERPRIV JAVA_ADMIN JAVA_DEPLOY JMXSERVER LOGSTDBY_ADMINISTRATOR MGMT_USER OEM_ADVISOR OEM_MONITOR OLAPI_TRACE_USER OLAP_DBA OLAP_USER OLAP_XS_ADMIN ORDADMIN OWB$CLIENT OWB_DESIGNCENTER_VIEW OWB_USER RECOVERY_CATALOG_OWNER RESOURCE SCHEDULER_ADMIN SELECT_CATALOG_ROLE SPATIAL_CSW_ADMIN SPATIAL_WFS_ADMIN WFS_USR_ROLE WKUSER WM_ADMIN_ROLE XDBADMIN XDB_SET_INVOKER XDB_WEBSERVICES XDB_WEBSERVICES_OVER_HTTP XDB_WEBSERVICES_WITH_PUBLIC System Privileges: <Empty> Edit List: ACCESS_ANY_WORKSPACE ADMINISTER ANY SQL TUNING SET ADMINISTER DATABASE TRIGGER ADMINISTER RESOURCE MANAGER ADMINISTER SQL MANAGEMENT OBJECT ADMINISTER SQL TUNING SET ADVISOR ALTER ANY ASSEMBLY ALTER ANY CLUSTER ALTER ANY CUBE ALTER ANY CUBE DIMENSION ALTER ANY DIMENSION ALTER ANY EDITION ALTER ANY EVALUATION CONTEXT ALTER ANY INDEX ALTER ANY INDEXTYPE ALTER ANY LIBRARY ALTER ANY MATERIALIZED VIEW ALTER ANY MINING MODEL ALTER ANY OPERATOR ALTER ANY OUTLINE ALTER ANY PROCEDURE ALTER ANY ROLE ALTER ANY RULE ALTER ANY RULE SET ALTER ANY SEQUENCE ALTER ANY SQL PROFILE ALTER ANY TABLE ALTER ANY TRIGGER ALTER ANY TYPE ALTER DATABASE ALTER PROFILE ALTER RESOURCE COST ALTER ROLLBACK SEGMENT ALTER SESSION ALTER SYSTEM ALTER TABLESPACE ALTER USER ANALYZE ANY ANALYZE ANY DICTIONARY AUDIT ANY AUDIT SYSTEM BACKUP ANY TABLE BECOME USER CHANGE NOTIFICATION COMMENT ANY MINING MODEL COMMENT ANY TABLE CREATE ANY ASSEMBLY CREATE ANY CLUSTER CREATE ANY CONTEXT CREATE ANY CUBE CREATE ANY CUBE BUILD PROCESS CREATE ANY CUBE DIMENSION CREATE ANY DIMENSION CREATE ANY DIRECTORY CREATE ANY EDITION CREATE ANY EVALUATION CONTEXT CREATE ANY INDEX CREATE ANY INDEXTYPE CREATE ANY JOB CREATE ANY LIBRARY CREATE ANY MATERIALIZED VIEW CREATE ANY MEASURE FOLDER CREATE ANY MINING MODEL CREATE ANY OPERATOR CREATE ANY OUTLINE CREATE ANY PROCEDURE CREATE ANY RULE CREATE ANY RULE SET CREATE ANY SEQUENCE CREATE ANY SQL PROFILE CREATE ANY SYNONYM CREATE ANY TABLE CREATE ANY TRIGGER CREATE ANY TYPE CREATE ANY VIEW CREATE ASSEMBLY CREATE CLUSTER CREATE CUBE CREATE CUBE BUILD PROCESS CREATE CUBE DIMENSION CREATE DATABASE LINK CREATE DIMENSION CREATE EVALUATION CONTEXT CREATE EXTERNAL JOB CREATE INDEXTYPE CREATE JOB CREATE LIBRARY CREATE MATERIALIZED VIEW CREATE MEASURE FOLDER CREATE MINING MODEL CREATE OPERATOR CREATE PROCEDURE CREATE PROFILE CREATE PUBLIC DATABASE LINK CREATE PUBLIC SYNONYM CREATE ROLE CREATE ROLLBACK SEGMENT CREATE RULE CREATE RULE SET CREATE SEQUENCE CREATE SESSION CREATE SYNONYM CREATE TABLE CREATE TABLESPACE CREATE TRIGGER CREATE TYPE CREATE USER CREATE VIEW CREATE_ANY_WORKSPACE DEBUG ANY PROCEDURE DEBUG CONNECT SESSION DELETE ANY CUBE DIMENSION DELETE ANY MEASURE FOLDER DELETE ANY TABLE DEQUEUE ANY QUEUE DROP ANY ASSEMBLY DROP ANY CLUSTER DROP ANY CONTEXT DROP ANY CUBE DROP ANY CUBE BUILD PROCESS DROP ANY CUBE DIMENSION DROP ANY DIMENSION DROP ANY DIRECTORY DROP ANY EDITION DROP ANY EVALUATION CONTEXT DROP ANY INDEX DROP ANY INDEXTYPE DROP ANY LIBRARY DROP ANY MATERIALIZED VIEW DROP ANY MEASURE FOLDER DROP ANY MINING MODEL DROP ANY OPERATOR DROP ANY OUTLINE DROP ANY PROCEDURE DROP ANY ROLE DROP ANY RULE DROP ANY RULE SET DROP ANY SEQUENCE DROP ANY SQL PROFILE DROP ANY SYNONYM DROP ANY TABLE DROP ANY TRIGGER DROP ANY TYPE DROP ANY VIEW DROP PROFILE DROP PUBLIC DATABASE LINK DROP PUBLIC SYNONYM DROP ROLLBACK SEGMENT DROP TABLESPACE DROP USER ENQUEUE ANY QUEUE EXECUTE ANY ASSEMBLY EXECUTE ANY CLASS EXECUTE ANY EVALUATION CONTEXT EXECUTE ANY INDEXTYPE EXECUTE ANY LIBRARY EXECUTE ANY OPERATOR EXECUTE ANY PROCEDURE EXECUTE ANY PROGRAM EXECUTE ANY RULE EXECUTE ANY RULE SET EXECUTE ANY TYPE EXECUTE ASSEMBLY EXPORT FULL DATABASE FLASHBACK ANY TABLE FLASHBACK ARCHIVE ADMINISTER FORCE ANY TRANSACTION FORCE TRANSACTION FREEZE_ANY_WORKSPACE GLOBAL QUERY REWRITE GRANT ANY OBJECT PRIVILEGE GRANT ANY PRIVILEGE GRANT ANY ROLE IMPORT FULL DATABASE INSERT ANY CUBE DIMENSION INSERT ANY MEASURE FOLDER INSERT ANY TABLE LOCK ANY TABLE MANAGE ANY FILE GROUP MANAGE ANY QUEUE MANAGE FILE GROUP MANAGE SCHEDULER MANAGE TABLESPACE MERGE ANY VIEW MERGE_ANY_WORKSPACE ON COMMIT REFRESH QUERY REWRITE READ ANY FILE GROUP REMOVE_ANY_WORKSPACE RESTRICTED SESSION RESUMABLE ROLLBACK_ANY_WORKSPACE SELECT ANY CUBE SELECT ANY CUBE DIMENSION SELECT ANY DICTIONARY SELECT ANY MINING MODEL SELECT ANY SEQUENCE SELECT ANY TABLE SELECT ANY TRANSACTION UNDER ANY TABLE UNDER ANY TYPE UNDER ANY VIEW UNLIMITED TABLESPACE UPDATE ANY CUBE UPDATE ANY CUBE BUILD PROCESS UPDATE ANY CUBE DIMENSION UPDATE ANY TABLE Object Privileges: <Empty> Add: Clase Java Clases de Trabajos Cola Columna de Tabla Columna de Vista Espacio de Trabajo Función Instantánea Origen Java Paquete Planificaciones Procedimiento Programas Secuencia Sinónimo Tabla Tipos Trabajos Vista Consumer Group Privileges: <Empty> Default Consumer Group: (*) None Edit List: AUTO_TASK_CONSUMER_GROUP BATCH_GROUP DEFAULT_CONSUMER_GROUP INTERACTIVE_GROUP LOW_GROUP ORA$AUTOTASK_HEALTH_GROUP ORA$AUTOTASK_MEDIUM_GROUP ORA$AUTOTASK_SPACE_GROUP ORA$AUTOTASK_SQL_GROUP ORA$AUTOTASK_STATS_GROUP ORA$AUTOTASK_URGENT_GROUP ORA$DIAGNOSTICS SYS_GROUP And, of course, I wonder what options I should pick.

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• Login loop in Snow Leopard

  - by hgpc

  I can't get out of a login loop of a particular admin user. After entering the password the login screen is shown again after about a minute. Other users work fine. It started happening after a simple reboot. Can you please help me? Thank you! Tried to no avail: Change the password Remove the password Repair disk (no errors) Boot in safe mode Reinstall Snow Leopard and updating to 10.6.6 Remove content of ~/Library/Caches Removed content of ~/Library/Preferences Replaced /etc/authorization with Install DVD copy The system.log mentions a crash report. I'm including both below. system.log Jan 8 02:43:30 loginwindow218: Login Window - Returned from Security Agent Jan 8 02:43:30 loginwindow218: USER_PROCESS: 218 console Jan 8 02:44:42 kernel[0]: Jan 8 02:44:43: --- last message repeated 1 time --- Jan 8 02:44:43 com.apple.launchd[1] (com.apple.loginwindow218): Job appears to have crashed: Bus error Jan 8 02:44:43 com.apple.UserEventAgent-LoginWindow223: ALF error: cannot find useragent 1102 Jan 8 02:44:43 com.apple.UserEventAgent-LoginWindow223: plugin.UserEventAgentFactory: called with typeID=FC86416D-6164-2070-726F-70735C216EC0 Jan 8 02:44:43 /System/Library/CoreServices/loginwindow.app/Contents/MacOS/loginwindow233: Login Window Application Started Jan 8 02:44:43 SecurityAgent228: CGSShutdownServerConnections: Detaching application from window server Jan 8 02:44:43 com.apple.ReportCrash.Root232: 2011-01-08 02:44:43.936 ReportCrash232:2903 Saved crash report for loginwindow218 version ??? (???) to /Library/Logs/DiagnosticReports/loginwindow_2011-01-08-024443_localhost.crash Jan 8 02:44:44 SecurityAgent228: MIG: server died: CGSReleaseShmem : Cannot release shared memory Jan 8 02:44:44 SecurityAgent228: kCGErrorFailure: Set a breakpoint @ CGErrorBreakpoint() to catch errors as they are logged. Jan 8 02:44:44 SecurityAgent228: CGSDisplayServerShutdown: Detaching display subsystem from window server Jan 8 02:44:44 SecurityAgent228: HIToolbox: received notification of WindowServer event port death. Jan 8 02:44:44 SecurityAgent228: port matched the WindowServer port created in BindCGSToRunLoop Jan 8 02:44:44 loginwindow233: Login Window Started Security Agent Jan 8 02:44:44 WindowServer234: kCGErrorFailure: Set a breakpoint @ CGErrorBreakpoint() to catch errors as they are logged. Jan 8 02:44:44 com.apple.WindowServer234: Sat Jan 8 02:44:44 .local WindowServer234 <Error>: kCGErrorFailure: Set a breakpoint @ CGErrorBreakpoint() to catch errors as they are logged. Jan 8 02:44:54 SecurityAgent243: NSSecureTextFieldCell detected a field editor ((null)) that is not a NSTextView subclass designed to work with the cell. Ignoring... Crash report Process: loginwindow 218 Path: /System/Library/CoreServices/loginwindow.app/Contents/MacOS/loginwindow Identifier: loginwindow Version: ??? (???) Code Type: X86-64 (Native) Parent Process: launchd [1] Date/Time: 2011-01-08 02:44:42.748 +0100 OS Version: Mac OS X 10.6.6 (10J567) Report Version: 6 Exception Type: EXC_BAD_ACCESS (SIGBUS) Exception Codes: 0x000000000000000a, 0x000000010075b000 Crashed Thread: 0 Dispatch queue: com.apple.main-thread Thread 0 Crashed: Dispatch queue: com.apple.main-thread 0 com.apple.security 0x00007fff801c6e8b Security::ReadSection::at(unsigned int) const + 25 1 com.apple.security 0x00007fff801c632f Security::DbVersion::open() + 123 2 com.apple.security 0x00007fff801c5e41 Security::DbVersion::DbVersion(Security::AppleDatabase const&, Security::RefPointer<Security::AtomicBufferedFile> const&) + 179 3 com.apple.security 0x00007fff801c594e Security::DbModifier::getDbVersion(bool) + 330 4 com.apple.security 0x00007fff801c57f5 Security::DbModifier::openDatabase() + 33 5 com.apple.security 0x00007fff801c5439 Security::Database::_dbOpen(Security::DatabaseSession&, unsigned int, Security::AccessCredentials const*, void const*) + 221 6 com.apple.security 0x00007fff801c4841 Security::DatabaseManager::dbOpen(Security::DatabaseSession&, Security::DbName const&, unsigned int, Security::AccessCredentials const*, void const*) + 77 7 com.apple.security 0x00007fff801c4723 Security::DatabaseSession::DbOpen(char const*, cssm_net_address const*, unsigned int, Security::AccessCredentials const*, void const*, long&) + 285 8 com.apple.security 0x00007fff801d8414 cssm_DbOpen(long, char const*, cssm_net_address const*, unsigned int, cssm_access_credentials const*, void const*, long*) + 108 9 com.apple.security 0x00007fff801d7fba CSSM_DL_DbOpen + 106 10 com.apple.security 0x00007fff801d62f6 Security::CssmClient::DbImpl::open() + 162 11 com.apple.security 0x00007fff801d8977 SSDatabaseImpl::open(Security::DLDbIdentifier const&) + 53 12 com.apple.security 0x00007fff801d8715 SSDLSession::DbOpen(char const*, cssm_net_address const*, unsigned int, Security::AccessCredentials const*, void const*, long&) + 263 13 com.apple.security 0x00007fff801d8414 cssm_DbOpen(long, char const*, cssm_net_address const*, unsigned int, cssm_access_credentials const*, void const*, long*) + 108 14 com.apple.security 0x00007fff801d7fba CSSM_DL_DbOpen + 106 15 com.apple.security 0x00007fff801d62f6 Security::CssmClient::DbImpl::open() + 162 16 com.apple.security 0x00007fff802fa786 Security::CssmClient::DbImpl::unlock(cssm_data const&) + 28 17 com.apple.security 0x00007fff80275b5d Security::KeychainCore::KeychainImpl::unlock(Security::CssmData const&) + 89 18 com.apple.security 0x00007fff80291a06 Security::KeychainCore::StorageManager::login(unsigned int, void const*, unsigned int, void const*) + 3336 19 com.apple.security 0x00007fff802854d3 SecKeychainLogin + 91 20 com.apple.loginwindow 0x000000010000dfc5 0x100000000 + 57285 21 com.apple.loginwindow 0x000000010000cfb4 0x100000000 + 53172 22 com.apple.Foundation 0x00007fff8721e44f __NSThreadPerformPerform + 219 23 com.apple.CoreFoundation 0x00007fff82627401 __CFRunLoopDoSources0 + 1361 24 com.apple.CoreFoundation 0x00007fff826255f9 __CFRunLoopRun + 873 25 com.apple.CoreFoundation 0x00007fff82624dbf CFRunLoopRunSpecific + 575 26 com.apple.HIToolbox 0x00007fff8444493a RunCurrentEventLoopInMode + 333 27 com.apple.HIToolbox 0x00007fff8444473f ReceiveNextEventCommon + 310 28 com.apple.HIToolbox 0x00007fff844445f8 BlockUntilNextEventMatchingListInMode + 59 29 com.apple.AppKit 0x00007fff80b01e64 _DPSNextEvent + 718 30 com.apple.AppKit 0x00007fff80b017a9 -NSApplication nextEventMatchingMask:untilDate:inMode:dequeue: + 155 31 com.apple.AppKit 0x00007fff80ac748b -NSApplication run + 395 32 com.apple.loginwindow 0x0000000100004b16 0x100000000 + 19222 33 com.apple.loginwindow 0x0000000100004580 0x100000000 + 17792 Thread 1: Dispatch queue: com.apple.libdispatch-manager 0 libSystem.B.dylib 0x00007fff8755216a kevent + 10 1 libSystem.B.dylib 0x00007fff8755403d _dispatch_mgr_invoke + 154 2 libSystem.B.dylib 0x00007fff87553d14 _dispatch_queue_invoke + 185 3 libSystem.B.dylib 0x00007fff8755383e _dispatch_worker_thread2 + 252 4 libSystem.B.dylib 0x00007fff87553168 _pthread_wqthread + 353 5 libSystem.B.dylib 0x00007fff87553005 start_wqthread + 13 Thread 0 crashed with X86 Thread State (64-bit): rax: 0x000000010075b000 rbx: 0x00007fff5fbfd990 rcx: 0x00007fff875439da rdx: 0x0000000000000000 rdi: 0x00007fff5fbfd990 rsi: 0x0000000000000000 rbp: 0x00007fff5fbfd5d0 rsp: 0x00007fff5fbfd5d0 r8: 0x0000000000000007 r9: 0x0000000000000000 r10: 0x00007fff8753beda r11: 0x0000000000000202 r12: 0x0000000100133e78 r13: 0x00007fff5fbfda50 r14: 0x00007fff5fbfda50 r15: 0x00007fff5fbfdaa0 rip: 0x00007fff801c6e8b rfl: 0x0000000000010287 cr2: 0x000000010075b000

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• load balancing in Tomcat

  - by Alvin

  Hi All, I want to implement the load balancing in tomcat 6.0 so that we can create more than one instance of a tomcat and when any of the instance is down then other instance will run our application. so that our application will never be down even when the large number of concurrent request comes. But i have no idea to implement it. Please give your precious suggestions.

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• Typical rate limiting settings for DOS prevention?

  - by zsharp

  I am using iis 7 with dynamic ip module to rate limit requests. The default settings are 50 concurrent connections and 500 requests in 5 sec. Are these settings conservative or aggressive?

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• Costs of a professional audio streaming solution

  - by Frederico

  How much does a professional hardware solution cost, for streaming 8 audio channels to 100 concurrent listeners? Do you have any suggestions on suitable solutions?

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• Nginx / uWsgi / Django site can handle more traffic with rewrite URL

  - by Ludo

  Hi there. I'm running a Django app, using uWsgi behind Nginx. I've been doing some performance tuning and load testing using ApacheBench and have discovered something unexpected which I wonder if someone could explain for me. In my Nginx config I have a rewrite directive which catches lots of different URL permutations and then forwards them to the canonical URL I wish to use, eg, it traps www.mysite.com/whatever, www.mysite.co.uk/whatever and forwards them all to http://mysite.com/whatever. If I load test against any of the URLs listed with a redirect (ie, NOT the canonical URL which it is eventually forwarded to), it can serve 15000 concurrent connections without breaking a sweat. If I load test against the canonical URL, which the above test I would have expected got forwarded to anyway, it can't handle nearly as much. It will drop about 4000 of the 15000 requests, and can only handle about 9000 reliably. This is the command line I'm using to test: ab -c15000 -n15000 http://www.mysite.com/somepath/ and ab -c15000 -n15000 http://mysite.com/somepath/ I've tried several different types - it makes no different which order I do them in. This doesn't make sense to me - I can understand why the requests involving a redirect may not handle quite so many concurrent connections, but it's happening the other way round. Can anyone explain? I'd really prefer it if the canonical URL was the one which could handle more traffic. I'll post my Nginx config below. Thanks loads for any help! server { server_name www.somesite.com somesite.net www.somesite.net somesite.co.uk www.somesite.co.uk; rewrite ^(.*) http://somesite.com$1 permanent; } server { root /home/django/domains/somesite.com/live/somesite/; server_name somesite.com somesite-live.myserver.somesite.com; access_log /home/django/domains/somesite.com/live/log/nginx.log; location / { uwsgi_pass unix:////tmp/somesite-live.sock; include uwsgi_params; } location /media { try_files $uri $uri/ /index.html; } location /site_media { try_files $uri $uri/ /index.html; } location = /favicon.ico { empty_gif; } }

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• Is it generally better to compress content on the proxy server or the app server?

  - by Dan

  We're using an F5 for load balancing and SSL proxying. Behind it we're serving up java applications with Tomcat instances. These are fairly small applications - hundreds of concurrent users. I'd like to compress some of the content, and I'm looking for advice on choosing to configure compression on the F5, or on the tomcat instances. Any big factors in the decision, or is it 6-of-one half-dozen of the other?

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• Nginx + Haproxy + Thin + Rails - 503 Service Unavailable -

  - by Luca G. Soave

  I don't know how troubleshoot this. I get "503 Service Unavailable" http error for all "nginx upstreams" proxy passing calls to haproxy fast_thin and slow_thin ( server 127.0.0.1:3100 and server 127.0.0.1:3200 ), which loadbalance on 6 Thin servers ( 127.0.0.1:3000 .. 3005 ). Static files like /blog are currently fine. The falldown is: nginx on port 80 - haproxy on 3100 and 3200 - thin on 3000 .. 3005 and then Rails. Here it is /etc/nginx/nginx.conf : user nginx; worker_processes 2; pid /var/run/nginx.pid; events { worker_connections 1024; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; sendfile on; tcp_nopush on; keepalive_timeout 65; tcp_nodelay on; include /etc/nginx/conf.d/*.conf; } then /etc/nginx/conf.d/default.conf upstream fast_thin { server 127.0.0.1:3100; } upstream slow_thin { server 127.0.0.1:3200; } server { listen 80; server_name www.gitwatcher.com; rewrite ^/(.*) http://gitwatcher.com/$1 permanent; } server { listen 80; server_name gitwatcher.com; access_log /var/www/gitwatcher/log/access.log; error_log /var/www/gitwatcher/log/error.log; root /var/www/gitwatcher/public; # index index.html; location /about { proxy_pass http://fast_thin; break; } location /trends { proxy_pass http://slow_thin; break; } location /categories { proxy_pass http://slow_thin; break; } location /signout { proxy_pass http://slow_thin; break; } location /auth/github { proxy_pass http://slow_thin; break; } location / { proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header Host $http_host; proxy_redirect off; if (-f $request_filename/index.html) { rewrite (.*) $1/index.html break; } if (-f $request_filename.html) { rewrite (.*) $1.html break; } if (!-f $request_filename) { proxy_pass http://slow_thin; break; } } } then haproxy config file /etc/haproxy/haproxy.cfg : global log 127.0.0.1 local0 log 127.0.0.1 local1 notice #log loghost local0 info maxconn 4096 #chroot /usr/share/haproxy user haproxy group haproxy daemon #debug #quiet nbproc 1 # number of processing cores defaults log global retries 3 maxconn 2000 contimeout 5000 mode http clitimeout 60000 # maximum inactivity time on the client side srvtimeout 30000 # maximum inactivity time on the server side timeout connect 4000 # maximum time to wait for a connection attempt to a server to succeed option httplog option dontlognull option redispatch option httpclose # disable keepalive (HAProxy does not yet support the HTTP keep-alive mode) option abortonclose # enable early dropping of aborted requests from pending queue option httpchk # enable HTTP protocol to check on servers health option forwardfor # enable insert of X-Forwarded-For headers balance roundrobin # each server is used in turns, according to assigned weight stats enable # enable web-stats at /haproxy?stats stats auth haproxy:pr0xystats # force HTTP Auth to view stats stats refresh 5s # refresh rate of stats page listen rails_proxy 127.0.0.1:3100 # - equal weights on all servers # - maxconn will queue requests at HAProxy if limit is reached # - minconn dynamically scales the connection concurrency (bound my maxconn) depending on size of HAProxy queue # - check health every 20000 microseconds server web1 127.0.0.1:3000 weight 1 minconn 3 maxconn 6 check inter 20000 server web1 127.0.0.1:3001 weight 1 minconn 3 maxconn 6 check inter 20000 server web1 127.0.0.1:3002 weight 1 minconn 3 maxconn 6 check inter 20000 listen slow_proxy 127.0.0.1:3200 # cluster for slow requests, lower the queues, check less frequently server slow1 127.0.0.1:3003 weight 1 minconn 1 maxconn 3 check inter 40000 server slow2 127.0.0.1:3004 weight 1 minconn 1 maxconn 3 check inter 40000 server slow3 127.0.0.1:3005 weight 1 minconn 1 maxconn 3 check inter 40000 and the Thin config file /etc/thin/gitwatcher.yml : --- chdir: /var/www/gitwatcher environment: production address: 0.0.0.0 port: 3000 timeout: 30 log: log/thin.log pid: tmp/pids/thin.pid max_conns: 1024 max_persistent_conns: 100 require: [] wait: 30 servers: 6 daemonize: true if I look into open listen ports, I got the following : root@fullness:/var/www/gitwatcher# lsof | grep TCP | egrep "nginx|haproxy|thin" nginx 834 root 8u IPv4 921 0t0 TCP *:http (LISTEN) nginx 835 nginx 8u IPv4 921 0t0 TCP *:http (LISTEN) nginx 837 nginx 8u IPv4 921 0t0 TCP *:http (LISTEN) haproxy 1908 haproxy 4u IPv4 11699 0t0 TCP localhost:3100 (LISTEN) haproxy 1908 haproxy 6u IPv4 11701 0t0 TCP localhost:3200 (LISTEN) root@fullness:/var/www/gitwatcher# iptables -L get me the following : Chain INPUT (policy DROP) target prot opt source destination ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT tcp -- anywhere anywhere tcp dpt:22222 ACCEPT tcp -- anywhere anywhere tcp dpt:http ACCEPT tcp -- anywhere anywhere tcp dpt:https ACCEPT all -- anywhere anywhere DROP all -- anywhere anywhere Chain FORWARD (policy ACCEPT) target prot opt source destination Chain OUTPUT (policy ACCEPT) target prot opt source destination ACCEPT all -- anywhere anywhere Any help ?

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• (Arch)Linux board with dual ethernet

  - by tekknolagi

  I am looking for a Linux board with the following requirements: 2 ethernet ports (helpful, but only 1 required) 2 USB ports SDXC support (for SD/MicroSD) WiFi (25 concurrent users ideally) HDMI or micro HDMI out I don't know of a good way to find boards. I went through and catalogued a bunch in a spreadsheet, though: https://docs.google.com/spreadsheets/d/1ZyWvg1u5jAeCq4ghpQv3fukl78nYO64utfQgzTP1r7w/edit?usp=sharing

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• Windows server 2008 r2 unlimiting the allowed number of logon to a single user

  - by Hipno

  Hello, i got a server running windows server 2008, and i got a user which everyone can connect to via Remote desktop! when 2 users a are logged to the user, it's fine. but when the 3 is logged on, it says one of the other 2 should loggoff! my question is, how i disable the limitation of concurrent logons to a single users? Thank you, i must say this is a great site.

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• nginx: delay sending proxy request through?

  - by user41356

  I'm set up nginx to proxy requests to a pool of web servers. I'd like nginx to limit the number of concurrent requests to each web server, by waiting to forward the request, so that a web server isn't overwhelmed. Is there a way to do this in nginx?

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• System Requirements of a write-heavy applications serving hundreds of requests per second

  - by Rolando Cruz

  NOTE: I am a self-taught PHP developer who has little to none experience managing web and database servers. I am about to write a web-based attendance system for a very large userbase. I expect around 1000 to 1500 users logged-in at the same time making at least 1 request every 10 seconds or so for a span of 30 minutes a day, 3 times a week. So it's more or less 100 requests per second, or at the very worst 1000 requests in a second (average of 16 concurrent requests? But it could be higher given the short timeframe that users will make these requests. crosses fingers to avoid 100 concurrent requests). I expect two types of transactions, a local (not referring to a local network) and a foreign transaction. local transactions basically download userdata in their locality and cache it for 1 - 2 weeks. Attendance equests will probably be two numeric strings only: userid and eventid. foreign transactions are for attendance of those do not belong in the current locality. This will pass in the following data instead: (numeric) locality_id, (string) full_name. Both requests are done in Ajax so no HTML data included, only JSON. Both type of requests expect at the very least a single numeric response from the server. I think there will be a 50-50 split on the frequency of local and foreign transactions, but there's only a few bytes of difference anyways in the sizes of these transactions. As of this moment the userid may only reach 6 digits and eventid are 4 to 5-digit integers too. I expect my users table to have at least 400k rows, and the event table to have as many as 10k rows, a locality table with at least 1500 rows, and my main attendance table to increase by 400k rows (based on the number of users in the users table) a day for 3 days a week (1.2M rows a week). For me, this sounds big. But is this really that big? Or can this be handled by a single server (not sure about the server specs yet since I'll probably avail of a VPS from ServInt or others)? I tried to read on multiple server setups Heatbeat, DRBD, master-slave setups. But I wonder if they're really necessary. the users table will add around 500 1k rows a week. If this can't be handled by a single server, then if I am to choose a MySQL replication topology, what would be the best setup for this case? Sorry, if I sound vague or the question is too wide. I just don't know what to ask or what do you want to know at this point.

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• Server being used to send spam mail. How do I investigate?

  - by split_account

  Problem I think my server is being used to send spam with sendmail, I'm getting a lot of mail being queued up that I don't recognize and my mail.log and syslog are getting huge. I've shutdown sendmail, so none of it is getting out but I can't work out where it's coming from. Investigation so far: I've tried the solution in the blog post below and also shown in this thread. It's meant to add a header from wherever the mail is being added and log all all mail to file, so I changed the following lines in my php.ini file: mail.add_x_header = On mail.log = /var/log/phpmail.log But nothing is appearing in the phpmail.log. I used the command here to investigate cron jobs for all users, but nothing is out of place. The only cron being run is the cron for the website. And then I brought up all php files which had been modified in the last 30 days but none of them look suspicious. What else can I do to find where this is coming from? Mail.log reports Turned sendmail back on for second. Here is a small sample of the reports: Jun 10 14:40:30 ubuntu12 sm-mta[13684]: s5ADeQdp013684: from=<>, size=2431, class=0, nrcpts=1, msgid=<[email protected]>, proto=ESMTP, daemon=MTA-v4, relay=localhost [127.0.0.1] Jun 10 14:40:30 ubuntu12 sm-msp-queue[13674]: s5ACK1cC011438: to=www-data, delay=01:20:14, xdelay=00:00:00, mailer=relay, pri=571670, relay=[127.0.0.1] [127.0.0.1], dsn=2.0.0, stat=Sent (s5ADeQdp013684 Message accepted for delivery) Jun 10 14:40:30 ubuntu12 sm-mta[13719]: s5ADeQdp013684: to=<[email protected]>, delay=00:00:00, xdelay=00:00:00, mailer=local, pri=32683, dsn=2.0.0, stat=Sent Jun 10 14:40:30 ubuntu12 sm-mta[13684]: s5ADeQdr013684: from=<[email protected]>, size=677, class=0, nrcpts=1, msgid=<[email protected]>, proto=ESMTP, daemon=MTA-v4, relay=localhost [127.0.0.1] Jun 10 14:40:31 ubuntu12 sm-msp-queue[13674]: s5AC0gpi011125: to=www-data, ctladdr=www-data (33/33), delay=01:39:49, xdelay=00:00:01, mailer=relay, pri=660349, relay=[127.0.0.1] [127.0.0.1], dsn=2.0.0, stat=Sent (s5ADeQdr013684 Message accepted for delivery) Jun 10 14:40:31 ubuntu12 sm-mta[13721]: s5ADeQdr013684: to=<[email protected]>, ctladdr=<[email protected]> (33/33), delay=00:00:01, xdelay=00:00:00, mailer=local, pri=30946, dsn=2.0.0, stat=Sent Jun 10 14:40:31 ubuntu12 sm-mta[13684]: s5ADeQdt013684: from=<[email protected]>, size=677, class=0, nrcpts=1, msgid=<[email protected]>, proto=ESMTP, daemon=MTA-v4, relay=localhost [127.0.0.1] Jun 10 14:40:31 ubuntu12 sm-msp-queue[13674]: s5ACF2Nq011240: to=www-data, ctladdr=www-data (33/33), delay=01:25:29, xdelay=00:00:00, mailer=relay, pri=660349, relay=[127.0.0.1] [127.0.0.1], dsn=2.0.0, stat=Sent (s5ADeQdt013684 Message accepted for delivery) Jun 10 14:40:31 ubuntu12 sm-mta[13723]: s5ADeQdt013684: to=<[email protected]>, ctladdr=<[email protected]> (33/33), delay=00:00:00, xdelay=00:00:00, mailer=local, pri=30946, dsn=2.0.0, stat=Sent Ju Further Investigation Spotted 4 spam accounts registered in the past day, which is suspicious however all have normal user privileges. There are no contact forms on the site, there are a number of forms and they take either filtered text input or plain text input. Mail is still being queued up having switched the website to maintenance mode, which blocks out everyone but the admin. Ok more investigation, it looks like the email is being send by my websites cron which runs every 5 minutes. However there are no cron jobs I've set-up which run more than once an hour and show on the website log so presumably someone has managed to edit my cron somehow. Copy of email: V8 T1402410301 K1402411201 N2 P120349 I253/1/369045 MDeferred: Connection refused by [127.0.0.1] Fbs $_www-data@localhost ${daemon_flags}c u Swww-data [email protected] MDeferred: Connection refused by [127.0.0.1] C:www-data rRFC822; [email protected] RPFD:www-data H?P?Return-Path: <?g> H??Received: (from www-data@localhost) by ubuntu12.pcsmarthosting.co.uk (8.14.4/8.14.4/Submit) id s5AEP13T015507 for www-data; Tue, 10 Jun 2014 15:25:01 +0100 H?D?Date: Tue, 10 Jun 2014 15:25:01 +0100 H?x?Full-Name: CronDaemon H?M?Message-Id: <[email protected]> H??From: root (Cron Daemon) H??To: www-data H??Subject: Cron <www-data@ubuntu12> /usr/bin/drush @main elysia-cron H??Content-Type: text/plain; charset=ANSI_X3.4-1968 H??X-Cron-Env: <PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin> H??X-Cron-Env: <COLUMNS=80> H??X-Cron-Env: <SHELL=/bin/sh> H??X-Cron-Env: <HOME=/var/www> H??X-Cron-Env: <LOGNAME=www-data>

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• How can Rackspace beat DigitalOcean's Pricepoint? [on hold]

  - by Matt Jensen

  I have recently discovered Digital Ocean and I have found it to be a relatively nice experience for small staging servers, and the thought occurred to me, why am I paying $267~ for a server on Rackspace (40GB RAM, 160 GB Drive, 2 vCPUs, 400 Mb/s) when Digital Ocean offers a server for $40 (40 GB RAM, 60GB Drive [storage is not a concern of mine], 2 vCPUs, ?Mb/s)? Does Rackspace offer some kind of obvious advantages in Transfer speed/bandwidth? My applications are small startups that for the immediate future will only have about 200-300 concurrent users at once.

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