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  • An XEvent a Day (5 of 31) - Targets Week – ring_buffer

    - by Jonathan Kehayias
    Yesterday’s post, Querying the Session Definition and Active Session DMV’s , showed how to find information about the Event Sessions that exist inside a SQL Server and how to find information about the Active Event Sessions that are running inside a SQL Server using the Session Definition and Active Session DMV’s.  With the background information now out of the way, and since this post falls on the start of a new week I’ve decided to make this Targets Week, where each day we’ll look at a different...(read more)

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  • SQLAuthority News – Presented at Bangalore DevCon August 4, 2012

    - by pinaldave
    Bangalore Devcon 2012 was a great fun. Earlier this month I was fortunate to be invited to present at Dev Con. The event was very well planned and had excellent response. There were more than 140 attendees at any time in the sessions. There were two tracks and both tracks were running parallel to each other in the Microsoft Bangalore building. The venue is fantastic and the enthusiasm of the community is impeccable. We had a total of 12 sessions during the day. I had decided to attend each session if I can. We have so many fantastic speakers and I did not want to miss any of the sessions. As sessions were running parallel, I attended every session for 30 minutes and switched to another session. I had fun doing this experiment as tit gave me a good idea about every session. I presented personally on the session of SQL Tips and Tricks for Web Developer. DBA is a very common word and every time when we say SQL Server – lots of people think of DBA in their mind, however, SQL Server is used by many developers as well. In this session I tried to cover a few of the simple concepts where developers must pay special attention while writing T-SQL code. Sometimes a very small mistake can be very fatal on performance in the future. Here are few of the photos of the event. Btw, the two sessions which clearly stand out were Vinod Kumar‘s session on Leadership and Lohith‘s session on Visual Studio Tips and Tricks. Additional Read: Following are the blog posts by community on the Bangalore DevCon Experience. I encourage you to read them all and leave a comment which one you liked the most. http://abhishekbhat.wordpress.com/2012/08/07/devcon-2012-experience/ http://praveenprajapati.wordpress.com/2012/08/07/devcon-2012-part-2/ http://tomsblogsspot.blogspot.in/2012/08/devcon-2012.html?view=classic https://manasdash.wordpress.com/2012/08/06/devcon-2012-by-bdotnet-4th-august-2012/ http://www.jagan-bhathri.com/2012/08/bangalore-developer-conference-2012-by.html Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Author Visit, SQLAuthority News, T SQL, Technology

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  • GlassFish Back from Devoxx 2011 Mature Java EE 6 and EE 7 well on its way

    - by alexismp
    I'm back from my 8th (!) Devoxx conference (I don't think I've missed one since 2004) and this conference keeps delivering on the promise of a Java developer paradise week. GlassFish was covered in many different ways and I was not involved in a good number of them which can only be a good sign! Several folks asked me when my Java EE 6 session with Antonio Goncalves was scheduled (we've been covering this for the past two years in University sessions, hands-on labs and regular sessions). It turns out we didn't team up this year (Antonio was crazy busy preparing for Devoxx France) and I had a regular GlassFish session. Instead, this year, Bert Ertman and Paul Bakker covered the 3-hour Java EE 6 University session ("Duke’s Duct Tape Adventures") on the very first day (using GlassFish) with great success it seems. The Java EE 6 lab was also a hit with a full room of folks covering a lot of technical ground in 2.5 hours (with GlassFish of course). GlassFish was also mentioned during Cameron Purdy's keynote (pretty natural even if that surprised a number of folks that had not been closely following GlassFish) but also in Stephan Janssen's Keynote as the engine powering Parleys.com. In fact Stephan was a speaker in the GlassFish session describing how they went from a single-instance Tomcat setup to a clustered GlassFish + MQ environment. Also in the session was Johan Vos (of Mollom fame, along other things). Both of these customer testimonials were made possible because GlassFish has been delivering full Java EE 6 implementations for almost two years now which is plenty of time to see serious production deployments on it. The Java EE Gathering (BOF) was very well attended and very lively with many spec leads participating and discussing progress and also pain points with folks in the room. Thanks to all those attending this session, a good number of RFE's, and priority points came out of this. While this wasn't a GlassFish session by any means, it's great to have the current RESTful Admin and upcoming Java EE 7 planned features be a satisfactory answer to some of the requests from the attendance. Last but certainly not least, the GlassFish team is busy with Java EE 7 and version 4 of the product. This was discussed and shown during the Java EE keynote and in greater details in Jerome Dochez' session. If any indication, the tweets on his demo (virtualization, provisioning, etc...) were very encouraging. Java EE 6 adoption is doing great and GlassFish, being a production-quality reference implementation, is one of the first to benefit from this. And with GlassFish 4.0, we're looking at increasing the product and community adoption by offering a pragmatic technical solution to Java EE PaaS deployments. Stay tuned ! (the impatient in you is encouraged to grab a 4.0 build and provide feedback).

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  • Microsoft BI Conference 2010 Recap & books promo

    - by Marco Russo (SQLBI)
    Last week I’ve been at Microsoft BI Conference and I presented an interactive session about PowerPivot DAX Patterns. Unfortunately only the breakout session were recorded and available on TechEd Online . The room was full and there were probably many other people in an overflow room.  I would like to thanks all the attendees of my session and you can write me (marco dot russo [at] sqlbi dot com) if you have other questions and/or feedback about the session. The interest about PowerPivot (especially...(read more)

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  • Asynchronous connectToServer

    - by Pavel Bucek
    Users of JSR-356 – Java API for WebSocket are probably familiar with WebSocketContainer#connectToServer method. This article will be about its usage and improvement which was introduce in recent Tyrus release. WebSocketContainer#connectToServer does what is says, it connects to WebSocketServerEndpoint deployed on some compliant container. It has two or three parameters (depends on which representation of client endpoint are you providing) and returns aSession. Returned Session represents WebSocket connection and you are instantly able to send messages, register MessageHandlers, etc. An issue might appear when you are trying to create responsive user interface and use this method – its execution blocks until Session is created which usually means some container needs to be started, DNS queried, connection created (it’s even more complicated when there is some proxy on the way), etc., so nothing which might be really considered as responsive. Trivial and correct solution is to do this in another thread and monitor the result, but.. why should users do that? :-) Tyrus now provides async* versions of all connectToServer methods, which performs only simple (=fast) check in the same thread and then fires a new one and performs all other tasks there. Return type of these methods is Future<Session>. List of added methods: public Future<Session> asyncConnectToServer(Class<?> annotatedEndpointClass, URI path) public Future<Session> asyncConnectToServer(Class<? extends Endpoint>  endpointClass, ClientEndpointConfig cec, URI path) public Future<Session> asyncConnectToServer(Endpoint endpointInstance, ClientEndpointConfig cec, URI path) public Future<Session> asyncConnectToServer(Object obj, URI path) As you can see, all connectToServer variants have its async* alternative. All these methods do throw DeploymentException, same as synchronous variants, but some of these errors cannot be thrown as a result of the first method call, so you might get it as the cause ofExecutionException thrown when Future<Session>.get() is called. Please let us know if you find these newly added methods useful or if you would like to change something (signature, functionality, …) – you can send us a comment to [email protected] or ping me personally. Related links: https://tyrus.java.net https://java.net/jira/browse/TYRUS/ https://github.com/tyrus-project/tyrus

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  • Microsoft BI Conference 2010 Recap & books promo

    - by Marco Russo (SQLBI)
    Last week I’ve been at Microsoft BI Conference and I presented an interactive session about PowerPivot DAX Patterns. Unfortunately only the breakout session were recorded and available on TechEd Online . The room was full and there were probably many other people in an overflow room.  I would like to thanks all the attendees of my session and you can write me (marco dot russo [at] sqlbi dot com) if you have other questions and/or feedback about the session. The interest about PowerPivot (especially...(read more)

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  • SQLPASS Summit 2011 -- I'm going but not as a speaker

    - by NeilHambly
    This post is about my attempt and slight failure @ getting a presenting session @ this year’s SQLPASS Summit 2011 I had submitted for the 1st time 2 submissions (think we had max of 4 we could enter, but I was happy to go with just 2 this time, 1 I had already presented & 1 was nearly completed) My general session (75 minutes) the same session on “Waits” I had done @ SQLBits 8 back in Brighton last April, and a new 1/2 day 3.5 hours format which is a session I’m completing on SQLOS layer Well...(read more)

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  • Speaking - Automate Your ETL Infrastructure with SSIS and PowerShell

    - by AllenMWhite
    Today at 4:45PM EDT I'm presenting a new session using PowerShell to auto-generate SSIS packages via the BIML language. The really cool thing is that this session will be live broadcast on PASS TV! You can view the session by clicking on this link . If you have questions for me during the session, you can send them to me via Twitter using this hashtag: #posh2biml Brian Davis, my good friend from the Ohio North SQL Server Users Group, will be monitoring that hashtag and feeding me the questions that...(read more)

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  • How do I start "Ubuntu classic desktop" (no effects) from the command line

    - by Andrew Stern
    I am able to run sessions over an ssh connection but I rather use the "Ubuntu classic desktop (no effects)" version on Ubuntu 11.04 instead of the new Unity since I don't have 3d support on the laptop I'm using to display the graphical User Interface. How can I startup the older gnome-session without the 3d effects? I tried gnome-session but it seems to be the option with the 3d effects and I want a more stripped down session over my ssh session.

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  • A little gem from MPN&ndash;FREE online course on Architectural Guidance for Migrating Applications to Windows Azure Platform

    - by Eric Nelson
    I know a lot of technical people who work in partners (ISVs, System Integrators etc). I know that virtually none of them would think of going to the Microsoft Partner Network (MPN) learning portal to find some deep and high quality technical content. Instead they would head to MSDN, Channel 9, msdev.com etc. I am one of those people :-) Hence imagine my surprise when i stumbled upon this little gem Architectural Guidance for Migrating Applications to Windows Azure Platform (your company and hence your live id need to be a member of MPN – which is free to join). This is first class stuff – and represents about 4 hours which is really 8 if you stop and ponder :) Course Structure The course is divided into eight modules.  Each module explores a different factor that needs to be considered as part of the migration process. Module 1:  Introduction:  This section provides an introduction to the training course, highlighting the values of the Windows Azure Platform for developers. Module 2:  Dynamic Environment: This section goes into detail about the dynamic environment of the Windows Azure Platform. This session will explain the difference between current development states and the Windows Azure Platform environment, detail the functions of roles, and highlight development considerations to be aware of when working with the Windows Azure Platform. Module 3:  Local State: This session details the local state of the Windows Azure Platform. This section details the different types of storage within the Windows Azure Platform (Blobs, Tables, Queues, and SQL Azure). The training will provide technical guidance on local storage usage, how to write to blobs, how to effectively use table storage, and other authorization methods. Module 4:  Latency and Timeouts: This session goes into detail explaining the considerations surrounding latency, timeouts and how to assess an IT portfolio. Module 5:  Transactions and Bandwidth: This session details the performance metrics surrounding transactions and bandwidth in the Windows Azure Platform environment. This session will detail the transactions and bandwidth costs involved with the Windows Azure Platform and mitigation techniques that can be used to properly manage those costs. Module 6:  Authentication and Authorization: This session details authentication and authorization protocols within the Windows Azure Platform. This session will detail information around web methods of authorization, web identification, Access Control Benefits, and a walkthrough of the Windows Identify Foundation. Module 7:  Data Sensitivity: This session details data considerations that users and developers will experience when placing data into the cloud. This section of the training highlights these concerns, and details the strategies that developers can take to increase the security of their data in the cloud. Module 8:  Summary Provides an overall review of the course.

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  • Why does Hibernate 2nd level cache only cache within a session?

    - by Synesso
    Using a named query in our application and with ehcache as the provider, it seems that the query results are tied to the session. Any attempt to access the value from the cache for a second time results in a LazyInitializationException We have set lazy=true for the following mapping because this object is also used by another part of the system which does not require the reference... and we want to keep it lean. <class name="domain.ReferenceAdPoint" table="ad_point" mutable="false" lazy="false"> <cache usage="read-only"/> <id name="code" type="long" column="ad_point_id"> <generator class="assigned" /> </id> <property name="name" column="ad_point_description" type="string"/> <set name="synonyms" table="ad_point_synonym" cascade="all-delete-orphan" lazy="true"> <cache usage="read-only"/> <key column="ad_point_id" /> <element type="string" column="synonym_description" /> </set> </class> <query name="find.adpoints.by.heading">from ReferenceAdPoint adpoint left outer join fetch adpoint.synonyms where adpoint.adPointField.headingCode = ?</query> Here's a snippet from our hibernate.cfg.xml <property name="hibernate.cache.provider_class">net.sf.ehcache.hibernate.SingletonEhCacheProvider</property> <property name="hibernate.cache.use_query_cache">true</property> It doesn't seem to make sense that the cache would be constrained to the session. Why are the cached queries not usable outside of the (relatively short-lived) sessions?

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  • Problem running python/matplotlib in background after ending ssh session.

    - by Jamie
    Hi there, I have to VPN and then ssh from home to my work server and want to run a python script in the background, then log out of the ssh session. My script makes several histogram plots using matplotlib, and as long as I keep the connection open everything is fine, but if I log out I keep getting an error message in the log file I created for the script. File "/Home/eud/jmcohen/.local/lib/python2.5/site-packages/matplotlib/pyplot.py", line 2058, in loglog ax = gca() File "/Home/eud/jmcohen/.local/lib/python2.5/site-packages/matplotlib/pyplot.py", line 582, in gca ax = gcf().gca(**kwargs) File "/Home/eud/jmcohen/.local/lib/python2.5/site-packages/matplotlib/pyplot.py", line 276, in gcf return figure() File "/Home/eud/jmcohen/.local/lib/python2.5/site-packages/matplotlib/pyplot.py", line 254, in figure **kwargs) File "/Home/eud/jmcohen/.local/lib/python2.5/site-packages/matplotlib/backends/backend_tkagg.py", line 90, in new_figure_manager window = Tk.Tk() File "/Home/eud/jmcohen/.local/lib/python2.5/lib-tk/Tkinter.py", line 1647, in __init__ self.tk = _tkinter.create(screenName, baseName, className, interactive, wantobjects, useTk, sync, use) _tkinter.TclError: couldn't connect to display "localhost:10.0" I'm assuming that it doesn't know where to create the figures I want since I close my X11 ssh session. If I'm logged in while the script is running I don't see any figures popping up (although that's because I don't have the show() command in my script), and I thought that python uses tkinter to display figures. The way that I'm creating the figures is, loglog() hist(list,x) ylabel('y') xlabel('x') savefig('%s_hist.ps' %source.name) close() The script requires some initial input, so the way I'm running it in the background is python scriptToRun.py << start>& logfile.log& Is there a way around this, or do I just have to stay ssh'd into my machine? Thanks.

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  • Why does Hibernate 2nd level cache only cache queries within a session?

    - by Synesso
    Using a named query in our application and with ehcache as the provider, it seems that the query results are tied to the session within the cache. Any attempt to access the value from the cache for a second time results in a LazyInitializationException We have set lazy = true for the following mapping because this object is also used by another part of the system which does not require the reference... and we want to keep it lean. <class name="domain.ReferenceAdPoint" table="ad_point" mutable="false" lazy="false"> <cache usage="read-only"/> <id name="code" type="long" column="ad_point_id"> <generator class="assigned" /> </id> <property name="name" column="ad_point_description" type="string"/> <set name="synonyms" table="ad_point_synonym" cascade="all-delete-orphan" lazy="true"> <cache usage="read-only"/> <key column="ad_point_id" /> <element type="string" column="synonym_description" /> </set> </class> <query name="find.adpoints.by.heading">from ReferenceAdPoint adpoint left outer join fetch adpoint.synonyms where adpoint.adPointField.headingCode = ?</query> Here's a snippet from our hibernate.cfg.xml <property name="hibernate.cache.provider_class">net.sf.ehcache.hibernate.SingletonEhCacheProvider</property> <property name="hibernate.cache.use_query_cache">true</property> It doesn't seem to make sense that the cache would be constrained to the session. Why are the cached queries not usable outside of the (relatively short-lived) sessions?

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  • Business Tier | client state in desktop application- way around Stateful Session Beans?

    - by arthur
    I read positive inputs on the following posts concerning client state management: Stateful EJBs in web application?, here, and here. I want to know how implement such client state management for desktop applications (Swing, AWT, SWT, and other). let's assume there are n desktop clients supposed to use some (remote) services provided on an Application Server. How to maintain a separate and permanent data state for each client , distinct from the other without have to use using stateful session Beans (SFSB) ? is that even possible on this application type ? With Webapp(Servlets / JsSF and JSP) some can avoid using SFSB by HttpSession object and/or coupling it with stateless session beans (SLSB). HttpSession object would keep information for each (Web)client separate and the SLSB would play the business logic music. But HttpSession objects aren't present on desktop application and I go stuck with only SFSB and SLSB. Knowing the problems(Concurrency, Error Handling, usw ) of SFSB, I would have not wanted to use it. What would be the other options? is there only SFSB available? Thanks in advances

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  • Problems using Hibernate and Spring in web application

    - by user628480
    Hi.I'm having NullPointerException trying to getCurrentSession() java.lang.NullPointerException servlets.ControlServlet.doPost(ControlServlet.java:46) javax.servlet.http.HttpServlet.service(HttpServlet.java:709) javax.servlet.http.HttpServlet.service(HttpServlet.java:802) I use Tomcat 5.5 index.jsp page: <%@ page language="java" contentType="text/html; charset=ISO-8859-1"pageEncoding="ISO-8859-1"%> <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1"> <title></title> </head> <body> <%@ page import="java.util.List" %> <%@ page import="data.Singer" %> <jsp:useBean id="singer" class="data.Singer" scope="session"/> <jsp:setProperty name="singer" property="*" /> <form action="ControlServlet" method="POST"> <form method=“POST”> Name:<br /> <input type=“text” name="name" /><br /> Type:<br /> <input type=“text” name="type" /><br /> <input type="submit" name="Add song" value="Add song"> <input type="submit" name="save" value="Save" /><br><br> <input type ="submit" name="values" value="Get values" > </form> </body> </html> web.xml <?xml version="1.0" encoding="UTF-8"?> <web-app id="WebApp_ID" version="2.4" xmlns="http://java.sun.com/xml/ns/j2ee" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/j2ee http://java.sun.com/xml/ns/j2ee/web-app_2_4.xsd"> <display-name>webproject</display-name> <context-param> <param-name>contextConfigLocation</param-name> <param-value>/WEB-INF/beans.xml, /WEB-INF/conf.xml, /WEB-INF/singers.hbm.xml, /WEB-INF/songs.hbm.xml, /WEB-INF/singerbeans.xml, /WEB-INF/songbeans.xml</param-value> </context-param> <servlet> <servlet-name>context</servlet-name> <servlet-class>org.springframework.web.context.ContextLoaderServlet</servlet-class> <load-on-startup>1</load-on-startup> </servlet> <servlet> <servlet-name>test</servlet-name> <servlet-class>org.springframework.web.servlet.DispatcherServlet</servlet-class> <load-on-startup>1</load-on-startup> </servlet> <servlet-mapping> <servlet-name>test</servlet-name> <url-pattern>*.*</url-pattern> </servlet-mapping> <servlet> <servlet-name>action</servlet-name> <servlet-class>org.apache.struts.action.ActionServlet</servlet-class> <init-param> <param-name>config</param-name> <param-value>/WEB-INF/beans.xml, /WEB-INF/conf.xml, /WEB-INF/singers.hbm.xml, /WEB-INF/songs.hbm.xml, /WEB-INF/singerbeans.xml, /WEB-INF/songbeans.xml</param-value> </init-param> <init-param> <param-name>debug</param-name> <param-value>2</param-value> </init-param> <init-param> <param-name>detail</param-name> <param-value>2</param-value> </init-param> <load-on-startup>2</load-on-startup> </servlet> <servlet> <description> </description> <display-name>ControlServlet</display-name> <servlet-name>ControlServlet</servlet-name> <servlet-class>servlets.ControlServlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>action</servlet-name> <url-pattern>*.*</url-pattern> </servlet-mapping> <servlet-mapping> <servlet-name>ControlServlet</servlet-name> <url-pattern>/ControlServlet</url-pattern> </servlet-mapping> </web-app> ControlServlet.java public class ControlServlet extends HttpServlet { private static final long serialVersionUID = 1L; @Autowired private SingerDao singerdao; public SingerDao getSingerDao() { return singerdao; } public void setSingerDao(SingerDao singerdao) { this.singerdao = singerdao; } public ControlServlet() { super(); // TODO Auto-generated constructor stub } protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { // TODO Auto-generated method stub } protected void doPost(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { if (request.getParameter("values") != null) { response.getWriter().println(singerdao.getDBValues()); } } } and SingerDao.java public class SingerDao implements SingerDaoInterface { @Autowired private SessionFactory sessionFactory; public void setSessionFactory(SessionFactory sessionFactory) { this.sessionFactory = sessionFactory; } public List getDBValues() { Session session = getCurrentSession(); List<Singer> singers = session.createCriteria(Singer.class).list(); return singers; } private org.hibernate.classic.Session getCurrentSession() { return sessionFactory.getCurrentSession(); } public void updateSinger(Singer singer) { Session session = getCurrentSession(); session.update(singer); } public Singer getSinger(int id) { Singer singer = null; Session session = getCurrentSession(); singer = (Singer) session.load(Singer.class, id); return singer; } public void deleteSinger(Singer singer) { Session session = getCurrentSession(); session.delete(singer); } public void insertRow(Singer singer) { Session session = getCurrentSession(); session.save(singer); } } In simple Java Project it works fine.I think sessionFactory doesn't autowires,but why? Thanks all.

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  • How do i get the data from a surveillance camera to a storage i can stream from?

    - by radbyx
    Hi my sisters house was robbed chrismas evening :( I talked with her about making a surveillance system for her. The idea is to have a system that detects intruders and then send a SMS to you while streaming it to a private website. The hard part: How and where do I storage the data from the camera so it's streamable? I think i can manage to do the streaming, website and SMS server, but i need the data (fundamentation). Thanks, any help is much appriciated.

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  • Improving TCP performance over a gigabit network lots of connections and high traffic for storage and streaming services

    - by Linux Guy
    I have two servers, Both servers hardware Specification are Processor : Dual Processor RAM : over 128 G.B Hard disk : SSD Hard disk Outging Traffic bandwidth : 3 Gbps network cards speed : 10 Gbps Server A : for Encoding videos Server B : for storage videos andstream videos over web interface like youtube The inbound bandwidth between two servers is 10Gbps , the outbound bandwidth internet bandwidth is 500Mpbs Both servers using public ip addresses in public and private network Both servers transfer and connection on nginx port , and the server B used for streaming media , like youtube stream videos Both servers in same network , when i do ping from Server A to Server B i got high time latency above 1.0ms , the time range time=52.7 ms to time=215.7 ms - This is the output of iftop utility 353Mb 707Mb 1.04Gb 1.38Gb 1.73Gb mqqqqqqqqqqqqqqqqqqqqqqqqqqqvqqqqqqqqqqqqqqqqqqqqqqqqqqqvqqqqqqqqqqqqqqqqqqqqqqqqqqqvqqqqqqqqqqqqqqqqqqqqqqqqqqqvqqqqqqqqqqqqqqqqqqqqqqqqqqq server.example.com => ip.address 6.36Mb 4.31Mb 1.66Mb <= 158Kb 94.8Kb 35.1Kb server.example.com => ip.address 1.23Mb 4.28Mb 1.12Mb <= 17.1Kb 83.5Kb 21.9Kb server.example.com => ip.address 395Kb 3.89Mb 1.07Mb <= 6.09Kb 109Kb 28.6Kb server.example.com => ip.address 4.55Mb 3.83Mb 1.04Mb <= 55.6Kb 45.4Kb 13.0Kb server.example.com => ip.address 649Kb 3.38Mb 1.47Mb <= 9.00Kb 38.7Kb 16.7Kb server.example.com => ip.address 5.00Mb 3.32Mb 1.80Mb <= 65.7Kb 55.1Kb 29.4Kb server.example.com => ip.address 387Kb 3.13Mb 1.06Mb <= 18.4Kb 39.9Kb 15.0Kb server.example.com => ip.address 3.27Mb 3.11Mb 1.01Mb <= 81.2Kb 64.5Kb 20.9Kb server.example.com => ip.address 1.75Mb 3.08Mb 2.72Mb <= 16.6Kb 35.6Kb 32.5Kb server.example.com => ip.address 1.75Mb 2.90Mb 2.79Mb <= 22.4Kb 32.6Kb 35.6Kb server.example.com => ip.address 3.03Mb 2.78Mb 1.82Mb <= 26.6Kb 27.4Kb 20.2Kb server.example.com => ip.address 2.26Mb 2.66Mb 1.36Mb <= 51.7Kb 49.1Kb 24.4Kb server.example.com => ip.address 586Kb 2.50Mb 1.03Mb <= 4.17Kb 26.1Kb 10.7Kb server.example.com => ip.address 2.42Mb 2.49Mb 2.44Mb <= 31.6Kb 29.7Kb 29.9Kb server.example.com => ip.address 2.41Mb 2.46Mb 2.41Mb <= 26.4Kb 24.5Kb 23.8Kb server.example.com => ip.address 2.37Mb 2.39Mb 2.40Mb <= 28.9Kb 27.0Kb 28.5Kb server.example.com => ip.address 525Kb 2.20Mb 1.05Mb <= 7.03Kb 26.0Kb 12.8Kb qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq TX: cum: 102GB peak: 1.65Gb rates: 1.46Gb 1.44Gb 1.48Gb RX: 1.31GB 24.3Mb 19.5Mb 18.9Mb 20.0Mb TOTAL: 103GB 1.67Gb 1.48Gb 1.46Gb 1.50Gb I check the transfer speed using iperf utility From Server A to Server B # iperf -c 0.0.0.2 -p 8777 ------------------------------------------------------------ Client connecting to 0.0.0.2, TCP port 8777 TCP window size: 85.3 KByte (default) ------------------------------------------------------------ [ 3] local 0.0.0.1 port 38895 connected with 0.0.0.2 port 8777 [ ID] Interval Transfer Bandwidth [ 3] 0.0-10.8 sec 528 KBytes 399 Kbits/sec My Current Connections in Server B # netstat -an|grep ":8777"|awk '/tcp/ {print $6}'|sort -nr| uniq -c 2072 TIME_WAIT 28 SYN_RECV 1 LISTEN 189 LAST_ACK 139 FIN_WAIT2 373 FIN_WAIT1 3381 ESTABLISHED 34 CLOSING Server A Network Card Information Settings for eth0: Supported ports: [ TP ] Supported link modes: 100baseT/Full 1000baseT/Full 10000baseT/Full Supported pause frame use: No Supports auto-negotiation: Yes Advertised link modes: 10000baseT/Full Advertised pause frame use: No Advertised auto-negotiation: Yes Speed: 10000Mb/s Duplex: Full Port: Twisted Pair PHYAD: 0 Transceiver: external Auto-negotiation: on MDI-X: Unknown Supports Wake-on: d Wake-on: d Current message level: 0x00000007 (7) drv probe link Link detected: yes Server B Network Card Information Settings for eth2: Supported ports: [ FIBRE ] Supported link modes: 10000baseT/Full Supported pause frame use: No Supports auto-negotiation: No Advertised link modes: 10000baseT/Full Advertised pause frame use: No Advertised auto-negotiation: No Speed: 10000Mb/s Duplex: Full Port: Direct Attach Copper PHYAD: 0 Transceiver: external Auto-negotiation: off Supports Wake-on: d Wake-on: d Current message level: 0x00000007 (7) drv probe link Link detected: yes ifconfig server A eth0 Link encap:Ethernet HWaddr 00:25:90:ED:9E:AA inet addr:0.0.0.1 Bcast:0.0.0.255 Mask:255.255.255.0 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:1202795665 errors:0 dropped:64334 overruns:0 frame:0 TX packets:2313161968 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:893413096188 (832.0 GiB) TX bytes:3360949570454 (3.0 TiB) lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:65536 Metric:1 RX packets:2207544 errors:0 dropped:0 overruns:0 frame:0 TX packets:2207544 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:247769175 (236.2 MiB) TX bytes:247769175 (236.2 MiB) ifconfig Server B eth2 Link encap:Ethernet HWaddr 00:25:90:82:C4:FE inet addr:0.0.0.2 Bcast:0.0.0.2 Mask:255.255.255.0 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:39973046980 errors:0 dropped:1828387600 overruns:0 frame:0 TX packets:69618752480 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:3013976063688 (2.7 TiB) TX bytes:102250230803933 (92.9 TiB) lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:65536 Metric:1 RX packets:1049495 errors:0 dropped:0 overruns:0 frame:0 TX packets:1049495 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:129012422 (123.0 MiB) TX bytes:129012422 (123.0 MiB) Netstat -i on Server B # netstat -i Kernel Interface table Iface MTU Met RX-OK RX-ERR RX-DRP RX-OVR TX-OK TX-ERR TX-DRP TX-OVR Flg eth2 9000 0 42098629968 0 2131223717 0 73698797854 0 0 0 BMRU lo 65536 0 1077908 0 0 0 1077908 0 0 0 LRU I Turn up send/receive buffers on the network card to 2048 and problem still persist I increase the MTU for server A and problem still persist and i increase the MTU for server B for better connectivity and transfer speed but it couldn't transfer at all The problem is : as you can see from iperf utility, the transfer speed from server A to server B slow when i restart network service in server B the transfer in server A at full speed, after 2 minutes , it's getting slow How could i troubleshoot slow speed issue and fix it in server B ? Notice : if there any other commands i should execute in servers for more information, so it might help resolve the problem , let me know in comments

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  • How can I eager-load a child collection mapped to a non-primary key in NHibernate 2.1.2?

    - by David Rubin
    Hi, I have two objects with a many-to-many relationship between them, as follows: public class LeftHandSide { public LeftHandSide() { Name = String.Empty; Rights = new HashSet<RightHandSide>(); } public int Id { get; set; } public string Name { get; set; } public ICollection<RightHandSide> Rights { get; set; } } public class RightHandSide { public RightHandSide() { OtherProp = String.Empty; Lefts = new HashSet<LeftHandSide>(); } public int Id { get; set; } public string OtherProp { get; set; } public ICollection<LeftHandSide> Lefts { get; set; } } and I'm using a legacy database, so my mappings look like: Notice that LeftHandSide and RightHandSide are associated by a different column than RightHandSide's primary key. <class name="LeftHandSide" table="[dbo].[lefts]" lazy="false"> <id name="Id" column="ID" unsaved-value="0"> <generator class="identity" /> </id> <property name="Name" not-null="true" /> <set name="Rights" table="[dbo].[lefts2rights]"> <key column="leftId" /> <!-- THIS IS THE IMPORTANT BIT: I MUST USE PROPERTY-REF --> <many-to-many class="RightHandSide" column="rightProp" property-ref="OtherProp" /> </set> </class> <class name="RightHandSide" table="[dbo].[rights]" lazy="false"> <id name="Id" column="id" unsaved-value="0"> <generator class="identity" /> </id> <property name="OtherProp" column="otherProp" /> <set name="Lefts" table="[dbo].[lefts2rights]"> <!-- THIS IS THE IMPORTANT BIT: I MUST USE PROPERTY-REF --> <key column="rightProp" property-ref="OtherProp" /> <many-to-many class="LeftHandSide" column="leftId" /> </set> </class> The problem comes when I go to do a query: LeftHandSide lhs = _session.CreateCriteria<LeftHandSide>() .Add(Expression.IdEq(13)) .UniqueResult<LeftHandSide>(); works just fine. But LeftHandSide lhs = _session.CreateCriteria<LeftHandSide>() .Add(Expression.IdEq(13)) .SetFetchMode("Rights", FetchMode.Join) .UniqueResult<LeftHandSide>(); throws an exception (see below). Interestingly, RightHandSide rhs = _session.CreateCriteria<RightHandSide>() .Add(Expression.IdEq(127)) .SetFetchMode("Lefts", FetchMode.Join) .UniqueResult<RightHandSide>(); seems to be perfectly fine as well. NHibernate.Exceptions.GenericADOException Message: Error performing LoadByUniqueKey[SQL: SQL not available] Source: NHibernate StackTrace: c:\opt\nhibernate\2.1.2\source\src\NHibernate\Type\EntityType.cs(563,0): at NHibernate.Type.EntityType.LoadByUniqueKey(String entityName, String uniqueKeyPropertyName, Object key, ISessionImplementor session) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Type\EntityType.cs(428,0): at NHibernate.Type.EntityType.ResolveIdentifier(Object value, ISessionImplementor session, Object owner) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Type\EntityType.cs(300,0): at NHibernate.Type.EntityType.NullSafeGet(IDataReader rs, String[] names, ISessionImplementor session, Object owner) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Persister\Collection\AbstractCollectionPersister.cs(695,0): at NHibernate.Persister.Collection.AbstractCollectionPersister.ReadElement(IDataReader rs, Object owner, String[] aliases, ISessionImplementor session) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Collection\Generic\PersistentGenericSet.cs(54,0): at NHibernate.Collection.Generic.PersistentGenericSet`1.ReadFrom(IDataReader rs, ICollectionPersister role, ICollectionAliases descriptor, Object owner) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Loader.cs(706,0): at NHibernate.Loader.Loader.ReadCollectionElement(Object optionalOwner, Object optionalKey, ICollectionPersister persister, ICollectionAliases descriptor, IDataReader rs, ISessionImplementor session) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Loader.cs(385,0): at NHibernate.Loader.Loader.ReadCollectionElements(Object[] row, IDataReader resultSet, ISessionImplementor session) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Loader.cs(326,0): at NHibernate.Loader.Loader.GetRowFromResultSet(IDataReader resultSet, ISessionImplementor session, QueryParameters queryParameters, LockMode[] lockModeArray, EntityKey optionalObjectKey, IList hydratedObjects, EntityKey[] keys, Boolean returnProxies) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Loader.cs(453,0): at NHibernate.Loader.Loader.DoQuery(ISessionImplementor session, QueryParameters queryParameters, Boolean returnProxies) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Loader.cs(236,0): at NHibernate.Loader.Loader.DoQueryAndInitializeNonLazyCollections(ISessionImplementor session, QueryParameters queryParameters, Boolean returnProxies) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Loader.cs(1649,0): at NHibernate.Loader.Loader.DoList(ISessionImplementor session, QueryParameters queryParameters) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Loader.cs(1568,0): at NHibernate.Loader.Loader.ListIgnoreQueryCache(ISessionImplementor session, QueryParameters queryParameters) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Loader.cs(1562,0): at NHibernate.Loader.Loader.List(ISessionImplementor session, QueryParameters queryParameters, ISet`1 querySpaces, IType[] resultTypes) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Loader\Criteria\CriteriaLoader.cs(73,0): at NHibernate.Loader.Criteria.CriteriaLoader.List(ISessionImplementor session) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Impl\SessionImpl.cs(1936,0): at NHibernate.Impl.SessionImpl.List(CriteriaImpl criteria, IList results) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Impl\CriteriaImpl.cs(246,0): at NHibernate.Impl.CriteriaImpl.List(IList results) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Impl\CriteriaImpl.cs(237,0): at NHibernate.Impl.CriteriaImpl.List() c:\opt\nhibernate\2.1.2\source\src\NHibernate\Impl\CriteriaImpl.cs(398,0): at NHibernate.Impl.CriteriaImpl.UniqueResult() c:\opt\nhibernate\2.1.2\source\src\NHibernate\Impl\CriteriaImpl.cs(263,0): at NHibernate.Impl.CriteriaImpl.UniqueResult[T]() D:\proj\CMS3\branches\nh_auth\DomainModel2Tests\Authorization\TempTests.cs(46,0): at CMS.DomainModel.Authorization.TempTests.Test1() Inner Exception System.Collections.Generic.KeyNotFoundException Message: The given key was not present in the dictionary. Source: mscorlib StackTrace: at System.ThrowHelper.ThrowKeyNotFoundException() at System.Collections.Generic.Dictionary`2.get_Item(TKey key) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Persister\Entity\AbstractEntityPersister.cs(2047,0): at NHibernate.Persister.Entity.AbstractEntityPersister.GetAppropriateUniqueKeyLoader(String propertyName, IDictionary`2 enabledFilters) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Persister\Entity\AbstractEntityPersister.cs(2037,0): at NHibernate.Persister.Entity.AbstractEntityPersister.LoadByUniqueKey(String propertyName, Object uniqueKey, ISessionImplementor session) c:\opt\nhibernate\2.1.2\source\src\NHibernate\Type\EntityType.cs(552,0): at NHibernate.Type.EntityType.LoadByUniqueKey(String entityName, String uniqueKeyPropertyName, Object key, ISessionImplementor session) I'm using NHibernate 2.1.2 and I've been debugging into the NHibernate source, but I'm coming up empty. Any suggestions? Thanks so much!

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  • Getting started with Oracle Database In-Memory Part III - Querying The IM Column Store

    - by Maria Colgan
    In my previous blog posts, I described how to install, enable, and populate the In-Memory column store (IM column store). This weeks post focuses on how data is accessed within the IM column store. Let’s take a simple query “What is the most expensive air-mail order we have received to date?” SELECT Max(lo_ordtotalprice) most_expensive_order FROM lineorderWHERE  lo_shipmode = 5; The LINEORDER table has been populated into the IM column store and since we have no alternative access paths (indexes or views) the execution plan for this query is a full table scan of the LINEORDER table. You will notice that the execution plan has a new set of keywords “IN MEMORY" in the access method description in the Operation column. These keywords indicate that the LINEORDER table has been marked for INMEMORY and we may use the IM column store in this query. What do I mean by “may use”? There are a small number of cases were we won’t use the IM column store even though the object has been marked INMEMORY. This is similar to how the keyword STORAGE is used on Exadata environments. You can confirm that the IM column store was actually used by examining the session level statistics, but more on that later. For now let's focus on how the data is accessed in the IM column store and why it’s faster to access the data in the new column format, for analytical queries, rather than the buffer cache. There are four main reasons why accessing the data in the IM column store is more efficient. 1. Access only the column data needed The IM column store only has to scan two columns – lo_shipmode and lo_ordtotalprice – to execute this query while the traditional row store or buffer cache has to scan all of the columns in each row of the LINEORDER table until it reaches both the lo_shipmode and the lo_ordtotalprice column. 2. Scan and filter data in it's compressed format When data is populated into the IM column it is automatically compressed using a new set of compression algorithms that allow WHERE clause predicates to be applied against the compressed formats. This means the volume of data scanned in the IM column store for our query will be far less than the same query in the buffer cache where it will scan the data in its uncompressed form, which could be 20X larger. 3. Prune out any unnecessary data within each column The fastest read you can execute is the read you don’t do. In the IM column store a further reduction in the amount of data accessed is possible due to the In-Memory Storage Indexes(IM storage indexes) that are automatically created and maintained on each of the columns in the IM column store. IM storage indexes allow data pruning to occur based on the filter predicates supplied in a SQL statement. An IM storage index keeps track of minimum and maximum values for each column in each of the In-Memory Compression Unit (IMCU). In our query the WHERE clause predicate is on the lo_shipmode column. The IM storage index on the lo_shipdate column is examined to determine if our specified column value 5 exist in any IMCU by comparing the value 5 to the minimum and maximum values maintained in the Storage Index. If the value 5 is outside the minimum and maximum range for an IMCU, the scan of that IMCU is avoided. For the IMCUs where the value 5 does fall within the min, max range, an additional level of data pruning is possible via the metadata dictionary created when dictionary-based compression is used on IMCU. The dictionary contains a list of the unique column values within the IMCU. Since we have an equality predicate we can easily determine if 5 is one of the distinct column values or not. The combination of the IM storage index and dictionary based pruning, enables us to only scan the necessary IMCUs. 4. Use SIMD to apply filter predicates For the IMCU that need to be scanned Oracle takes advantage of SIMD vector processing (Single Instruction processing Multiple Data values). Instead of evaluating each entry in the column one at a time, SIMD vector processing allows a set of column values to be evaluated together in a single CPU instruction. The column format used in the IM column store has been specifically designed to maximize the number of column entries that can be loaded into the vector registers on the CPU and evaluated in a single CPU instruction. SIMD vector processing enables the Oracle Database In-Memory to scan billion of rows per second per core versus the millions of rows per second per core scan rate that can be achieved in the buffer cache. I mentioned earlier in this post that in order to confirm the IM column store was used; we need to examine the session level statistics. You can monitor the session level statistics by querying the performance views v$mystat and v$statname. All of the statistics related to the In-Memory Column Store begin with IM. You can see the full list of these statistics by typing: display_name format a30 SELECT display_name FROM v$statname WHERE  display_name LIKE 'IM%'; If we check the session statistics after we execute our query the results would be as follow; SELECT Max(lo_ordtotalprice) most_expensive_order FROM lineorderWHERE lo_shipmode = 5; SELECT display_name FROM v$statname WHERE  display_name IN ('IM scan CUs columns accessed',                        'IM scan segments minmax eligible',                        'IM scan CUs pruned'); As you can see, only 2 IMCUs were accessed during the scan as the majority of the IMCUs (44) in the LINEORDER table were pruned out thanks to the storage index on the lo_shipmode column. In next weeks post I will describe how you can control which queries use the IM column store and which don't. +Maria Colgan

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  • Computer Networks UNISA - Chap 14 &ndash; Insuring Integrity &amp; Availability

    - by MarkPearl
    After reading this section you should be able to Identify the characteristics of a network that keep data safe from loss or damage Protect an enterprise-wide network from viruses Explain network and system level fault tolerance techniques Discuss issues related to network backup and recovery strategies Describe the components of a useful disaster recovery plan and the options for disaster contingencies What are integrity and availability? Integrity – the soundness of a networks programs, data, services, devices, and connections Availability – How consistently and reliably a file or system can be accessed by authorized personnel A number of phenomena can compromise both integrity and availability including… security breaches natural disasters malicious intruders power flaws human error users etc Although you cannot predict every type of vulnerability, you can take measures to guard against the most damaging events. The following are some guidelines… Allow only network administrators to create or modify NOS and application system users. Monitor the network for unauthorized access or changes Record authorized system changes in a change management system’ Install redundant components Perform regular health checks on the network Check system performance, error logs, and the system log book regularly Keep backups Implement and enforce security and disaster recovery policies These are just some of the basics… Malware Malware refers to any program or piece of code designed to intrude upon or harm a system or its resources. Types of Malware… Boot sector viruses Macro viruses File infector viruses Worms Trojan Horse Network Viruses Bots Malware characteristics Some common characteristics of Malware include… Encryption Stealth Polymorphism Time dependence Malware Protection There are various tools available to protect you from malware called anti-malware software. These monitor your system for indications that a program is performing potential malware operations. A number of techniques are used to detect malware including… Signature Scanning Integrity Checking Monitoring unexpected file changes or virus like behaviours It is important to decide where anti-malware tools will be installed and find a balance between performance and protection. There are several general purpose malware policies that can be implemented to protect your network including… Every compute in an organization should be equipped with malware detection and cleaning software that regularly runs Users should not be allowed to alter or disable the anti-malware software Users should know what to do in case the anti-malware program detects a malware virus Users should be prohibited from installing any unauthorized software on their systems System wide alerts should be issued to network users notifying them if a serious malware virus has been detected. Fault Tolerance Besides guarding against malware, another key factor in maintaining the availability and integrity of data is fault tolerance. Fault tolerance is the ability for a system to continue performing despite an unexpected hardware or software malfunction. Fault tolerance can be realized in varying degrees, the optimal level of fault tolerance for a system depends on how critical its services and files are to productivity. Generally the more fault tolerant the system, the more expensive it is. The following describe some of the areas that need to be considered for fault tolerance. Environment (Temperature and humidity) Power Topology and Connectivity Servers Storage Power Typical power flaws include Surges – a brief increase in voltage due to lightening strikes, solar flares or some idiot at City Power Noise – Fluctuation in voltage levels caused by other devices on the network or electromagnetic interference Brownout – A sag in voltage for just a moment Blackout – A complete power loss The are various alternate power sources to consider including UPS’s and Generators. UPS’s are found in two categories… Standby UPS – provides continuous power when mains goes down (brief period of switching over) Online UPS – is online all the time and the device receives power from the UPS all the time (the UPS is charged continuously) Servers There are various techniques for fault tolerance with servers. Server mirroring is an option where one device or component duplicates the activities of another. It is generally an expensive process. Clustering is a fault tolerance technique that links multiple servers together to appear as a single server. They share processing and storage responsibilities and if one unit in the cluster goes down, another unit can be brought in to replace it. Storage There are various techniques available including the following… RAID Arrays NAS (Storage (Network Attached Storage) SANs (Storage Area Networks) Data Backup A backup is a copy of data or program files created for archiving or safekeeping. Many different options for backups exist with various media including… These vary in cost and speed. Optical Media Tape Backup External Disk Drives Network Backups Backup Strategy After selecting the appropriate tool for performing your servers backup, devise a backup strategy to guide you through performing reliable backups that provide maximum data protection. Questions that should be answered include… What data must be backed up At what time of day or night will the backups occur How will you verify the accuracy of the backups Where and for how long will backup media be stored Who will take responsibility for ensuring that backups occurred How long will you save backups Where will backup and recovery documentation be stored Different backup methods provide varying levels of certainty and corresponding labour cost. There are also different ways to determine which files should be backed up including… Full backup – all data on all servers is copied to storage media Incremental backup – Only data that has changed since the last full or incremental backup is copied to a storage medium Differential backup – Only data that has changed since the last backup is coped to a storage medium Disaster Recovery Disaster recovery is the process of restoring your critical functionality and data after an enterprise wide outage has occurred. A disaster recovery plan is for extreme scenarios (i.e. fire, line fault, etc). A cold site is a place were the computers, devices, and connectivity necessary to rebuild a network exist but they are not appropriately configured. A warm site is a place where the computers, devices, and connectivity necessary to rebuild a network exists with some appropriately configured devices. A hot site is a place where the computers, devices, and connectivity necessary to rebuild a network exists and all are appropriately configured.

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  • ESXi 4.1 host not recognising existing VMFS datastore

    - by Graeme Donaldson
    Existing setup: host1 and host2, ESX 4.0, 2 HBAs each. lun1 and lun2, 2 LUNs belonging to the same RAID set (my terminology might be sketchy here). This has been working just fine all along. I added host3, ESXi 4.1, 2 HBAs. If I view Configuration / Storage Adapters, I can see that both HBAs see both LUNs, but if I view Configuration / Storage, I only see 1 datastore. host1/2 can see both LUNs and I have VMs running on both too. I have rescanned, refreshed and even rebooted, but host3 refuses to acknowledge 1 of the datastores. Does anyone know what's going on? Update: I re-installed the host with ESX (not i) 4.0, same version as the existing hosts and it's still not recognising the vmfs. I think I'm going to SVmotion everything off that datastore then format it. Update2: I've created the LUN from scratch and the problem gets even weirder. I've presented the LUN to all 3 hosts, and I can see the LUN in the vSphere client's Configuration / Storage Adapters section on all 3 hosts. If I create a datastore on the LUN via the Configuration / Storage section on host1, it works fine and I can create an empty folder via datastore browser, but the datastore is not seen by the host2 and host3. I can use the Add Storage wizard on host2 and it will see the LUN. At this point the "VMFS Label" column has the label I gave with "(head)" appended. If I try the Add Storage wizard's "Keep the existing signature" option, it fails with an error "Cannot change the host configuration." and a dialog box that says 'Call "HostStorageSystem.ResolveMultipleUnresolvedVmfsVolumes" for object "storageSystem-17" on vCenter Server "vcenter.company.local" failed.' If I try the Add Storage wizard's "Assign a new signature" option on host2, it will complete and the VMFS label will have "snap-(hexnumber)-" prepended. At this point its also visible on host3, but not host1. I have a similar setup in a different datacenter which didn't give me all this trouble.

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  • ESXi 4.1 host not recognising existing VMFS datastore

    - by ThatGraemeGuy
    Existing setup: host1 and host2, ESX 4.0, 2 HBAs each. lun1 and lun2, 2 LUNs belonging to the same RAID set (my terminology might be sketchy here). This has been working just fine all along. I added host3, ESXi 4.1, 2 HBAs. If I view Configuration / Storage Adapters, I can see that both HBAs see both LUNs, but if I view Configuration / Storage, I only see 1 datastore. host1/2 can see both LUNs and I have VMs running on both too. I have rescanned, refreshed and even rebooted, but host3 refuses to acknowledge 1 of the datastores. Does anyone know what's going on? Update: I re-installed the host with ESX (not i) 4.0, same version as the existing hosts and it's still not recognising the vmfs. I think I'm going to SVmotion everything off that datastore then format it. Update2: I've created the LUN from scratch and the problem gets even weirder. I've presented the LUN to all 3 hosts, and I can see the LUN in the vSphere client's Configuration / Storage Adapters section on all 3 hosts. If I create a datastore on the LUN via the Configuration / Storage section on host1, it works fine and I can create an empty folder via datastore browser, but the datastore is not seen by the host2 and host3. I can use the Add Storage wizard on host2 and it will see the LUN. At this point the "VMFS Label" column has the label I gave with "(head)" appended. If I try the Add Storage wizard's "Keep the existing signature" option, it fails with an error "Cannot change the host configuration." and a dialog box that says 'Call "HostStorageSystem.ResolveMultipleUnresolvedVmfsVolumes" for object "storageSystem-17" on vCenter Server "vcenter.company.local" failed.' If I try the Add Storage wizard's "Assign a new signature" option on host2, it will complete and the VMFS label will have "snap-(hexnumber)-" prepended. At this point its also visible on host3, but not host1. I have a similar setup in a different datacenter which didn't give me all this trouble.

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  • hibernate fail mapping two tables

    - by sebbalex
    Hi guys, I'd like to understand how it is possible: Until I was working with one table everything worked fine, when I have mapped another table it fails as shown below: Glassfish start: INFO: configuring from resource: /hibernate.cfg.xml INFO: Configuration resource: /hibernate.cfg.xml INFO: Reading mappings from resource : hibernate_centrale.hbm.xml //first table INFO: Mapping class: com.italtel.patchfinder.objects.centrale - centrale INFO: Reading mappings from resource : hibernate_impianti.hbm.xml //second table INFO: Mapping class: com.italtel.patchfinder.objects.Impianto - impianti INFO: Configured SessionFactory: null INFO: schema update complete INFO: Hibernate: select centrale0_.id as id0_, centrale0_.name as name0_, centrale0_.impianto as impianto0_, centrale0_.servizio as servizio0_ from centrale centrale0_ group by centrale0_.name INFO: Hibernate: select centrale0_.id as id0_, centrale0_.name as name0_, centrale0_.impianto as impianto0_, centrale0_.servizio as servizio0_ from centrale centrale0_ where centrale0_.name='ANCONA' order by centrale0_.name asc //Error org.hibernate.hql.ast.QuerySyntaxException: impianti is not mapped [from impianti where impianto='SD' order by modulo asc] at org.hibernate.hql.ast.util.SessionFactoryHelper.requireClassPersister(SessionFactoryHelper.java:181) ..... config: table1 <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd"> <hibernate-mapping> <class name="com.italtel.patchfinder.objects.Impianto" table="impianti"> <id column="id" name="id"> <generator class="increment"/> </id> <property name="impianto"/> <property name="modulo"/> </class> </hibernate-mapping> table2 <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd"> <hibernate-mapping> <class name="com.italtel.patchfinder.objects.centrale" table="centrale"> <id column="id" name="id"> <generator class="increment"/> </id> <property name="name"/> <property name="impianto"/> <property name="servizio"/> </class> </hibernate-mapping> connection stuff ... <property name="hbm2ddl.auto">update</property> <mapping resource="hibernate_centrale.hbm.xml"/> <mapping resource="hibernate_impianti.hbm.xml"/> </session-factory> </hibernate-configuration> Class: public List loadAll() { Session session = sessionFactory.getCurrentSession(); session.beginTransaction(); return session.createQuery("from centrale group by name").list(); } public List<centrale> loadImplants(String centrale) { Session session = sessionFactory.getCurrentSession(); session.beginTransaction(); return session.createQuery("from centrale where name='" + centrale + "' order by name asc").list(); } public List<Impianto> loadModules(String implant) { Session session = sessionFactory.getCurrentSession(); session.beginTransaction(); return session.createQuery("from impianti where impianto='" + implant + "' order by modulo asc").list(); } } Do you have some advice? Thanks in advance

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  • Cloud MBaaS : The Next Big Thing in Enterprise Mobility

    - by shiju
    In this blog post, I will take a look at Cloud Mobile Backend as a Service (MBaaS) and how we can leverage Cloud based Mobile Backend as a Service for building enterprise mobile apps. Today, mobile apps are incredibly significant in both consumer and enterprise space and the demand for the mobile apps is unbelievably increasing in day to day business. An enterprise can’t survive in business without a proper mobility strategy. A better mobility strategy and faster delivery of your mobile apps will give you an extra mileage for your business and IT strategy. So organizations and mobile developers are looking for different strategy for meeting this demand and adopting different development strategy for their mobile apps. Some developers are adopting hybrid mobile app development platforms, for delivering their products for multiple platforms, for fast time-to-market. Others are adopting a Mobile enterprise application platform (MEAP) such as Kony for their enterprise mobile apps for fast time-to-market and better business integration. The Challenges of Enterprise Mobility The real challenge of enterprise mobile apps, is not about creating the front-end environment or developing front-end for multiple platforms. The most important thing of enterprise mobile apps is to expose your enterprise data to mobile devices where the real pain is your business data might be residing in lot of different systems including legacy systems, ERP systems etc., and these systems will be deployed with lot of security restrictions. Exposing your data from the on-premises servers, is not a easy thing for most of the business organizations. Many organizations are spending too much time for their front-end development strategy, but they are really lacking for building a strategy on their back-end for exposing the business data to mobile apps. So building a REST services layer and mobile back-end services, on the top of legacy systems and existing middleware systems, is the key part of most of the enterprise mobile apps, where multiple mobile platforms can easily consume these REST services and other mobile back-end services for building mobile apps. For some mobile apps, we can’t predict its user base, especially for products where customers can gradually increase at any time. And for today’s mobile apps, faster time-to-market is very critical so that spending too much time for mobile app’s scalability, will not be worth. The real power of Cloud is the agility and on-demand scalability, where we can scale-up and scale-down our applications very easily. It would be great if we could use the power of Cloud to mobile apps. So using Cloud for mobile apps is a natural fit, where we can use Cloud as the storage for mobile apps and hosting mechanism for mobile back-end services, where we can enjoy the full power of Cloud with greater level of on-demand scalability and operational agility. So Cloud based Mobile Backend as a Service is great choice for building enterprise mobile apps, where enterprises can enjoy the massive scalability power of their mobile apps, provided by public cloud vendors such as Microsoft Windows Azure. Mobile Backend as a Service (MBaaS) We have discussed the key challenges of enterprise mobile apps and how we can leverage Cloud for hosting mobile backend services. MBaaS is a set of cloud-based, server-side mobile services for multiple mobile platforms and HTML5 platform, which can be used as a backend for your mobile apps with the scalability power of Cloud. The information below provides the key features of a typical MBaaS platform: Cloud based storage for your application data. Automatic REST API services on the application data, for CRUD operations. Native push notification services with massive scalability power. User management services for authenticate users. User authentication via Social accounts such as Facebook, Google, Microsoft, and Twitter. Scheduler services for periodically sending data to mobile devices. Native SDKs for multiple mobile platforms such as Windows Phone and Windows Store, Android, Apple iOS, and HTML5, for easily accessing the mobile services from mobile apps, with better security.  Typically, a MBaaS platform will provide native SDKs for multiple mobile platforms so that we can easily consume the server-side mobile services. MBaaS based REST APIs can use for integrating to enterprise backend systems. We can use the same mobile services for multiple platform so hat we can reuse the application logic to multiple mobile platforms. Public cloud vendors are building the mobile services on the top of their PaaS offerings. Windows Azure Mobile Services is a great platform for a MBaaS offering that is leveraging Windows Azure Cloud platform’s PaaS capabilities. Hybrid mobile development platform Titanium provides their own MBaaS services. LoopBack is a new MBaaS service provided by Node.js consulting firm StrongLoop, which can be hosted on multiple cloud platforms and also for on-premises servers. The Challenges of MBaaS Solutions If you are building your mobile apps with a new data storage, it will be very easy, since there is not any integration challenges you have to face. But most of the use cases, you have to extract your application data in which stored in on-premises servers which might be under VPNs and firewalls. So exposing these data to your MBaaS solution with a proper security would be a big challenge. The capability of your MBaaS vendor is very important as you have to interact with your legacy systems for many enterprise mobile apps. So you should be very careful about choosing for MBaaS vendor. At the same time, you should have a proper strategy for mobilizing your application data which stored in on-premises legacy systems, where your solution architecture and strategy is more important than platforms and tools.  Windows Azure Mobile Services Windows Azure Mobile Services is an MBaaS offerings from Windows Azure cloud platform. IMHO, Microsoft Windows Azure is the best PaaS platform in the Cloud space. Windows Azure Mobile Services extends the PaaS capabilities of Windows Azure, to mobile devices, which can be used as a cloud backend for your mobile apps, which will provide global availability and reach for your mobile apps. Windows Azure Mobile Services provides storage services, user management with social network integration, push notification services and scheduler services and provides native SDKs for all major mobile platforms and HTML5. In Windows Azure Mobile Services, you can write server-side scripts in Node.js where you can enjoy the full power of Node.js including the use of NPM modules for your server-side scripts. In the previous section, we had discussed some challenges of MBaaS solutions. You can leverage Windows Azure Cloud platform for solving many challenges regarding with enterprise mobility. The entire Windows Azure platform can play a key role for working as the backend for your mobile apps where you can leverage the entire Windows Azure platform for your mobile apps. With Windows Azure, you can easily connect to your on-premises systems which is a key thing for mobile backend solutions. Another key point is that Windows Azure provides better integration with services like Active Directory, which makes Windows Azure as the de facto platform for enterprise mobility, for enterprises, who have been leveraging Microsoft ecosystem for their application and IT infrastructure. Windows Azure Mobile Services  is going to next evolution where you can expect some exciting features in near future. One area, where Windows Azure Mobile Services should definitely need an improvement, is about the default storage mechanism in which currently it is depends on SQL Server. IMHO, developers should be able to choose multiple default storage option when creating a new mobile service instance. Let’s say, there should be a different storage providers such as SQL Server storage provider and Table storage provider where developers should be able to choose their choice of storage provider when creating a new mobile services project. I have been used Windows Azure and Windows Azure Mobile Services as the backend for production apps for mobile, where it performed very well. MBaaS Over MEAP Recently, many larger enterprises has been adopted Mobile enterprise application platform (MEAP) for their mobile apps. I haven’t worked on any production MEAP solution, but I heard that developers are really struggling with MEAP in different way. The learning curve for a proprietary MEAP platform is very high. I am completely against for using larger proprietary ecosystem for mobile apps. For enterprise mobile apps, I highly recommend to use native iOS/Android/Windows Phone or HTML5  for front-end with a cloud hosted MBaaS solution as the middleware. A MBaaS service can be consumed from multiple mobile apps where REST APIs are using to integrating with enterprise backend systems. Enterprise mobility should start with exposing REST APIs on the enterprise backend systems and these REST APIs can host on Cloud where we can enjoy the power of Cloud for our services. If you are having REST APIs for your enterprise data, then you can easily build mobile frontends for multiple platforms.   You can follow me on Twitter @shijucv

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