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• Raid 11 : how to stop @ how to release devices

  - by santhosha

  #cat /proc/mdstat md7 : active raid10 sdh1[2] 286743936 blocks 64K chunks 2 near-copies [4/1] [__U_] [0:0:3:0] #mdadm -f /dev/md7 /dev/sdh1 mdadm: set /dev/sdh1 faulty in /dev/md7 #mdadm -r /dev/md7 /dev/sdh1 mdadm: hot remove failed for /dev/sdh1: Device or resource busy # umount /dev/md7 umount: /dev/md7: not mounted #mdadm --stop /dev/md7 mdadm: fail to stop array /dev/md7: Device or resource busy #cat /proc/mdstat md7 : active raid10 sdh1[2] 286743936 blocks 64K chunks 2 near-copies [4/1] [__U_] [0:0:3:0]

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• Oracle Products Reflect Key Trends Shaping Enterprise 2.0

  - by kellsey.ruppel(at)oracle.com

  Following up on his predictions for 2011, we asked Enterprise 2.0 veteran Andy MacMillan to map out the ways Oracle solutions are at the forefront of industry trends--and how Oracle customers can benefit in the coming year. 1. Increase organizational awareness | Oracle WebCenter Suite Oracle WebCenter Suite provides a unique set of capabilities to drive organizational awareness. In particular, the expansive activity graph connects users directly to key enterprise applications, activities, and interests. In this way, applicable and critical business information is automatically and immediately visible--in the context of key tasks--via real-time dashboards and comprehensive reporting. Oracle WebCenter Suite also integrates key E2.0 services, such as blogs, wikis, and RSS feeds, into critical business processes, including back-office systems of records such as ERP and CRM systems. 2. Drive online customer engagement | Oracle Real-Time Decisions With more and more business being conducted on the Web, driving increased online customer engagement becomes a critical key to success. This effort is usually spearheaded by an increasingly important executive role, the Head of Online, who usually reports directly to the CMO. To help manage the Web experience online, Oracle solutions are driving a new kind of intelligent social commerce by combining Oracle Universal Content Management, Oracle WebCenter Services, and Oracle Real-Time Decisions with leading e-commerce and product recommendations. Oracle Real-Time Decisions provides multichannel recommendations for content, products, and services--including seamless integration across Web, mobile, and social channels. The result: happier customers, increased customer acquisition and retention, and improved critical success metrics such as shopping cart abandonment. 3. Easily build composite applications | Oracle Application Development Framework Thanks to the shared user experience strategy across Oracle Fusion Middleware, Oracle Fusion Applications and many other Oracle Applications, customers can easily create real, customer-specific composite applications using Oracle WebCenter Suite and Oracle Application Development Framework. Oracle Application Development Framework components provide modular user interface components that can build rich, social composite applications. In addition, a broad set of components spanning BPM, SOA, ECM, and beyond can be quickly and easily incorporated into composite applications. 4. Integrate records management into a global content platform | Oracle Enterprise Content Management 11g Oracle Enterprise Content Management 11g provides leading records management capabilities as part of a unified ECM platform for managing records, documents, Web content, digital assets, enterprise imaging, and application imaging. This unique strategy provides comprehensive records management in a consistent, cost-effective way, and enables organizations to consolidate ECM repositories and connect ECM to critical business applications. 5. Achieve ECM at extreme scale | Oracle WebLogic Server and Oracle Exadata To support the high-performance demands of a unified and rationalized content platform, Oracle has pioneered highly scalable and high-performing ECM infrastructures. Two innovations in particular helped make this happen. The core ECM platform itself moved to an Enterprise Java architecture, so organizations can now use Oracle WebLogic Server for enhanced scalability and manageability. Oracle Enterprise Content Management 11g can leverage Oracle Exadata for extreme performance and scale. Likewise, Oracle Exalogic--Oracle's foundation for cloud computing--enables extreme performance for processor-intensive capabilities such as content conversion or dynamic Web page delivery. Learn more about Oracle's Enterprise 2.0 solutions.

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• Exposed: Fake Social Marketing

  - by Mike Stiles

  Brands and marketers who want to build their social popularity on a foundation of lies are starting to face more of an uphill climb. Fake social is starting to get exposed, and there are a lot of emperors getting caught without any clothes. Facebook is getting ready to do a purge of “Likes” on Pages that were a result of bots, fake accounts, and even real users who were duped or accidentally Liked a Page. Most of those accidental Likes occur on mobile, where it’s easy for large fingers to hit the wrong space. Depending on the degree to which your Page has been the subject of such activity, you may see your number of Likes go down. But don’t sweat it, that’s a good thing. The social world has turned the corner and assessed the value of a Like. And the verdict is that a Like is valuable as an opportunity to build a real relationship with a real customer. Its value pales immensely compared to a user who’s actually engaged with the brand. Those fake Likes aren’t doing you any good. Huge numbers may once have impressed, but it’s not fooling anybody anymore. Facebook’s selling point to marketers is the ability to use a brand’s fans to reach friends of those fans. Consequently, there has to be validity and legitimacy to a fan count. Speaking of mobile, Trademob recently reported 40% of clicks are essentially worthless, because 22% of them are accidental (again with the fat fingers), while 18% are trickery. Publishers will but huge banner ads next to tiny app buttons to increase the odds of an accident. Others even hide a banner behind another to score 2 clicks instead of 1. Pontiflex and Harris Interactive last year found 47% of users were more likely to click a mobile ad accidentally than deliberately. Beyond that, hijacked devices are out there manipulating click data. But to what end for a marketer? What’s the value of a click on something a user never even saw? What’s the value of a seen but accidentally clicked ad if there’s no resulting transaction? Back to fake Likes, followers and views; they’re definitely for sale on numerous sites, none of which I’ll promote. $5 can get you 1,000 Twitter followers. You can even get followers targeted by interests. One site was set up by an unemployed accountant out of his house in England. He gets them from a wholesaler in Brooklyn, who gets them from a 19-year-old supplier in India. The unemployed accountant is making $10,000 a day. That means a lot of brands, celebrities and organizations are playing the fake social game, apparently not coming to grips with the slim value of the numbers they’re buying. But now, in addition to having paid good money for non-ROI numbers, there’s the embarrassment factor. At least a couple of sites have popped up allowing anyone to see just how many fake and inactive followers you have. Britain’s Fake Follower Check and StatusPeople are the two getting the most attention. Enter any Twitter handle and the results are there for all to see. Fake isn’t good, period. “Inactive” could be real followers, but if they’re real, they’re just watching, not engaging. If someone runs a check on your Twitter handle and turns up fake followers, does that mean you’re suspect or have purchased followers? No. Anyone can follow anyone, so most accounts will have some fakes. Even account results like Barack Obama’s (70% fake according to StatusPeople) and Lady Gaga’s (71% fake) don’t mean these people knew about all those fakes or initiated them. Regardless, brands should realize they’re now being watched, and users are judging the legitimacy of their social channels. Use one of any number of tools available to assess and clean out fake Likes and followers so that your numbers are as genuine as possible. And obviously, skip the “buying popularity” route of social marketing strategy. It doesn’t work and it gets you busted…a losing combination.

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• Using Live Data in Database Development Work

  - by Phil Factor

  Guest Editorial for Simple-Talk Newsletter... in which Phil Factor reacts with some exasperation when coming across a report that a majority of companies were still using financial and personal data for both developing and testing database applications. If you routinely test your development work using real production data that contains personal or financial information, you are probably being irresponsible, and at worst, risking a heavy financial penalty for your company. Surprisingly, over 80% of financial companies still do this. Plenty of data breaches and fraud have happened from the use of real data for testing, and a data breach is a nightmare for any organisation that suffers one. The cost of each data breach averages out at around $7.2 million in the US in notification, escalation, credit monitoring, fines, litigation, legal costs, and lost business due to customer churn, £1.9 million in the UK. 70% of data breaches are done from within the organisation. Real data can be exploited in a number of ways for malicious or criminal purposes. It isn't just the obvious use of items such as name and address, date of birth, social security number, and credit card and bank account numbers: Data can be exploited in many subtle ways, so there are excellent reasons to ensure that a high priority is given to the detection and prevention of any data breaches. You'll never successfully guess all the ways that real data can be exploited maliciously, or the ease with which it can be accessed. It would be silly to argue that developers never need access to a copy of the database containing live data. Developers sometimes need to track a bug that can only be replicated on the data from the live database. However, it has to be done in a very restrictive harness. The law makes no distinction between development and production databases when a data breach occurs, so the data has to be held with all appropriate security measures in place. In Europe, the use of personal data for testing requires the explicit consent of the people whose data is being held. There are federal standards such as GLBA, PCI DSS and HIPAA, and most US States have privacy legislation. The task of ensuring compliance and tight security in such circumstances is an expensive and time-consuming overhead. The developer is likely to suffer investigation if a data breach occurs, even if the company manages to stay in business. Ironically, the use of copies of live data isn't usually the most effective way to develop or test your data. Data is usually time-specific and isn't usually current by the time it is used for testing, Existing data doesn't help much for new functionality, and every time the data is refreshed from production, any test data is likely to be overwritten. Also, it is not always going to test all the 'edge' conditions that are likely to flush out bugs. You still have the task of simulating the dynamics of actual usage of the database, and here you have no alternative to creating 'spoofed' data. Because of the complexities of relational data, It used to be that there was no realistic alternative to developing and testing with live data. However, this is no longer the case. Real data can be obfuscated, or it can be created entirely from scratch. The latter process used to be impractical, now that there are plenty of third-party tools to choose from. The process of obfuscation isn't risk free. The process must access the live data, and the success of the obfuscation process has to be carefully monitored. Database data security isn't an exciting topic to you or I, but to a hacker it can be an all-consuming obsession, especially if there is financial or political gain involved. This is not the sort of adversary one would wish for and it is far better to accept, and work with, security restrictions that exist for using live data in database development work, especially when the tools exist to create large realistic database test data that can be better for several aspects of testing.

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• #OOW 2012: Big Data and The Social Revolution

  - by Eric Bezille

  As what was saying Cognizant CSO Malcolm Frank about the "Futur of Work", and how the Business should prepare in the face of the new generation  not only of devices and "internet of things" but also due to their users ("The Millennials"), moving from "consumers" to "prosumers" :  we are at a turning point today which is bringing us to the next IT Architecture Wave. So this is no more just about putting Big Data, Social Networks and Customer Experience (CxM) on top of old existing processes, it is about embracing the next curve, by identifying what processes need to be improve, but also and more importantly what processes are obsolete and need to be get ride of, and new processes put in place. It is about managing both the hierarchical and structured Enterprise and its social connections and influencers inside and outside of the Enterprise. And this does apply everywhere, up to the Utilities and Smart Grids, where it is no more just about delivering (faster) the same old 300 reports that have grown over time with those new technologies but to understand what need to be looked at, in real-time, down to an hand full relevant reports with the KPI relevant to the business. It is about how IT can anticipate the next wave, and is able to answers Business questions, and give those capabilities in real-time right at the hand of the decision makers... This is the turning curve, where IT is really moving from the past decade "Cost Center" to "Value for the Business", as Corporate Stakeholders will be able to touch the value directly at the tip of their fingers. It is all about making Data Driven Strategic decisions, encompassed and enriched by ALL the Data, and connected to customers/prosumers influencers. This brings to stakeholders the ability to make informed decisions on question like : “What would be the best Olympic Gold winner to represent my automotive brand ?”... in a few clicks and in real-time, based on social media analysis (twitter, Facebook, Google+...) and connections link to my Enterprise data. A true example demonstrated by Larry Ellison in real-time during his yesterday’s key notes, where “Hardware and Software Engineered to Work Together” is not only about extreme performances but also solutions that Business can touch thanks to well integrated Customer eXperience Management and Social Networking : bringing the capabilities to IT to move to the IT Architecture Next wave. An example, illustrated also todays in 2 others sessions, that I had the opportunity to attend. The first session bringing the “Internet of Things” in Oil&Gaz into actionable decisions thanks to Complex Event Processing capturing sensors data with the ready to run IT infrastructure leveraging Exalogic for the CEP side, Exadata for the enrich datasets and Exalytics to provide the informed decision interface up to end-user. The second session showing Real Time Decision engine in action for ACCOR hotels, with Eric Wyttynck, VP eCommerce, and his Technical Director Pascal Massenet. I have to close my post here, as I have to go to run our practical hands-on lab, cooked with Olivier Canonge, Christophe Pauliat and Simon Coter, illustrating in practice the Oracle Infrastructure Private Cloud recently announced last Sunday by Larry, and developed through many examples this morning by John Folwer. John also announced today Solaris 11.1 with a range of network innovation and virtualization at the OS level, as well as many optimizations for applications, like for Oracle RAC, with the introduction of the lock manager inside Solaris Kernel. Last but not least, he introduced Xsigo Datacenter Fabric for highly simplified networks and storage virtualization for your Cloud Infrastructure. Hoping you will get ready to jump on the next wave, we are here to help...

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• SQL Server IO handling mechanism can be severely affected by high CPU usage

  - by sqlworkshops

  Are you using SSD or SAN / NAS based storage solution and sporadically observe SQL Server experiencing high IO wait times or from time to time your DAS / HDD becomes very slow according to SQL Server statistics? Read on… I need your help to up vote my connect item – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage. Instead of taking few seconds, queries could take minutes/hours to complete when CPU is busy.In SQL Server when a query / request needs to read data that is not in data cache or when the request has to write to disk, like transaction log records, the request / task will queue up the IO operation and wait for it to complete (task in suspended state, this wait time is the resource wait time). When the IO operation is complete, the task will be queued to run on the CPU. If the CPU is busy executing other tasks, this task will wait (task in runnable state) until other tasks in the queue either complete or get suspended due to waits or exhaust their quantum of 4ms (this is the signal wait time, which along with resource wait time will increase the overall wait time). When the CPU becomes free, the task will finally be run on the CPU (task in running state).The signal wait time can be up to 4ms per runnable task, this is by design. So if a CPU has 5 runnable tasks in the queue, then this query after the resource becomes available might wait up to a maximum of 5 X 4ms = 20ms in the runnable state (normally less as other tasks might not use the full quantum).In case the CPU usage is high, let’s say many CPU intensive queries are running on the instance, there is a possibility that the IO operations that are completed at the Hardware and Operating System level are not yet processed by SQL Server, keeping the task in the resource wait state for longer than necessary. In case of an SSD, the IO operation might even complete in less than a millisecond, but it might take SQL Server 100s of milliseconds, for instance, to process the completed IO operation. For example, let’s say you have a user inserting 500 rows in individual transactions. When the transaction log is on an SSD or battery backed up controller that has write cache enabled, all of these inserts will complete in 100 to 200ms. With a CPU intensive parallel query executing across all CPU cores, the same inserts might take minutes to complete. WRITELOG wait time will be very high in this case (both under sys.dm_io_virtual_file_stats and sys.dm_os_wait_stats). In addition you will notice a large number of WAITELOG waits since log records are written by LOG WRITER and hence very high signal_wait_time_ms leading to more query delays. However, Performance Monitor Counter, PhysicalDisk, Avg. Disk sec/Write will report very low latency times.Such delayed IO handling also occurs to read operations with artificially very high PAGEIOLATCH_SH wait time (with number of PAGEIOLATCH_SH waits remaining the same). This problem will manifest more and more as customers start using SSD based storage for SQL Server, since they drive the CPU usage to the limits with faster IOs. We have a few workarounds for specific scenarios, but we think Microsoft should resolve this issue at the product level. We have a connect item open – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage - (with example scripts) to reproduce this behavior, please up vote the item so the issue will be addressed by the SQL Server product team soon.Thanks for your help and best regards,Ramesh MeyyappanHome: www.sqlworkshops.comLinkedIn: http://at.linkedin.com/in/rmeyyappan

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• Why does my Messaging Menu code not work when split into functions?

  - by fluteflute

  Below are two python programs. They're exactly the same, except for one is split into two functions. However only the one that's split into two functions doesn't work - the second function doesn't work. Why would this be? Note the code is taken from this useful blog post. Without functions (works): import gtk def show_window_function(x, y): print x print y # get the indicate module, which does all the work import indicate # Create a server item mm = indicate.indicate_server_ref_default() # If someone clicks your server item in the MM, fire the server-display signal mm.connect("server-display", show_window_function) # Set the type of messages that your item uses. It's not at all clear which types # you're allowed to use, here. mm.set_type("message.im") # You must specify a .desktop file: this is where the MM gets the name of your # app from. mm.set_desktop_file("/usr/share/applications/nautilus.desktop") # Show the item in the MM. mm.show() # Create a source item mm_source = indicate.Indicator() # Again, it's not clear which subtypes you are allowed to use here. mm_source.set_property("subtype", "im") # "Sender" is the text that appears in the source item in the MM mm_source.set_property("sender", "Unread") # If someone clicks this source item in the MM, fire the user-display signal mm_source.connect("user-display", show_window_function) # Light up the messaging menu so that people know something has changed mm_source.set_property("draw-attention", "true") # Set the count of messages in this source. mm_source.set_property("count", "15") # If you prefer, you can set the time of the last message from this source, # rather than the count. (You can't set both.) This means that instead of a # message count, the MM will show "2m" or similar for the time since this # message arrived. # mm_source.set_property_time("time", time.time()) mm_source.show() gtk.mainloop() With functions (second function is executed but doesn't actually work): import gtk def show_window_function(x, y): print x print y # get the indicate module, which does all the work import indicate def function1(): # Create a server item mm = indicate.indicate_server_ref_default() # If someone clicks your server item in the MM, fire the server-display signal mm.connect("server-display", show_window_function) # Set the type of messages that your item uses. It's not at all clear which types # you're allowed to use, here. mm.set_type("message.im") # You must specify a .desktop file: this is where the MM gets the name of your # app from. mm.set_desktop_file("/usr/share/applications/nautilus.desktop") # Show the item in the MM. mm.show() def function2(): # Create a source item mm_source = indicate.Indicator() # Again, it's not clear which subtypes you are allowed to use here. mm_source.set_property("subtype", "im") # "Sender" is the text that appears in the source item in the MM mm_source.set_property("sender", "Unread") # If someone clicks this source item in the MM, fire the user-display signal mm_source.connect("user-display", show_window_function) # Light up the messaging menu so that people know something has changed mm_source.set_property("draw-attention", "true") # Set the count of messages in this source. mm_source.set_property("count", "15") # If you prefer, you can set the time of the last message from this source, # rather than the count. (You can't set both.) This means that instead of a # message count, the MM will show "2m" or similar for the time since this # message arrived. # mm_source.set_property_time("time", time.time()) mm_source.show() function1() function2() gtk.mainloop()

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• Vipul Lavanya Sector 81 Gurgaon 09899299961 Resale Urban Expressions Property

  - by amit

  2, 3, 4 BHK Resale Urban Expressions Property Research 09899299961 Vipul Lavanya Gurgaon. {RESIDENTIAL} Vipul 2/3/4 BHK Residential Apartments for Sale in * Vipul LAVANYA * Sector-81 Near Upcoming Metro Station & 500 Mtrs away from Northern Periphery Expressway (Dwarka Expressway)& Gurgaon - Jaipur Expressway (N.H.8) Near IMT Manesar one of the Biggest Industrial HUB in NCR Zone Please Contact for More Details & Informations: Vipul Lavanya Gurgaon Located In Sector 81 on NH 8 Gurgaon

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• CPU running at full capacity when boot to DOS?

  - by Kevin H

  Does the CPU is run at 100% or near full capacity when the computer is booted into MS-DOS? Will the CPU temperature become higher even though we are not running any program in DOS mode? In Windows, we can see the CPU usage in % of utilization in Task Manager. From what I heard, CPU is running at near 100% capacity in DOS OS or in the BIOS MAIN screen. Is this caused by lack of CPU optimization in DOS OS?

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• Set automatic axis limits without defaulting to zero (Excel)

  - by djeidot

  I am build a bar chart in Excel with data values ranging from e.g. 10 to 20. I want the X axis limits to be automatic, but although the right limit (near 20) works correctly, the left limit always defaults to 0. I'd like the left limit to be near 10, instead of zero, without having to have the limit fixed. Is there any way to do this?

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• Problem with TimeZoneInfo.ConvertTime: missed the Daylight Saving switch.

  - by SirMoreno

  My web app runs on .Net 3.5, all of the dates are saved on the DB in UTC time (not in user time). When I want to display a date I convert it to user date (from UTC) //Get the current datetime of the user exp: GMT TO ISRAEL +2 public static DateTime GetUserDateTime(DateTime dateUTC) { string userTzId = "Israel Standard Time"; TimeZoneInfo userTZ = TimeZoneInfo.FindSystemTimeZoneById(userTzId); dateUTC = DateTime.SpecifyKind(dateUTC, DateTimeKind.Utc); DateTime ret = TimeZoneInfo.ConvertTime(dateUTC, TimeZoneInfo.Utc, userTZ); return ret; } Until now it worked fine but I have users from Israel (GMT +2), and Israel switched to Daylight saving time on 26/3/10 so now it's (GMT +3). For some reason the TimeZoneInfo.ConvertTime don't know the Daylight saving time switch is on 26/3/10 so it still converts to GMT +2. The strange thing is that on localhost it works fine, I set up a test page: DateTime userdate = GetUserDateTime(DateTime.UtcNow); string str2 = "UserDateTime = " + userdate.ToString("dd/MM/yy") + " " + userdate.ToString("HH:mm"); On the Server (windows 2003 set to UTC time) it shows the wrong time (+2): UserDateTime = 27/03/10 21:38 On localhost (windows XP set to Israel Time) it shows the correct time (+3): UserDateTime = 27/03/10 22:38 How can I update the TimeZoneInfo that the Daylight saving time switch in Israel was on the 26/3/10? Thanks.

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• Cannot get Correct month for a call from call log history

  - by Nishant Kumar

  I am trying to extract information from the call log of the android. I am getting the call date that is one month back from the actual time of call. I mean to say that the information extracted by my code for the date of call is one mont back than the actual call date. I have the following in the Emulator: I saved a contact. Then I made a call to the contact. Code: I have 3 ways of extracting call Date information but getting the same wrong result. My code is as follows: /* Make the query to call log content */ Cursor callLogResult = context.getContentResolver().query( CallLog.Calls.CONTENT_URI, null, null, null, null); int columnIndex = callLogResult.getColumnIndex(Calls.DATE); Long timeInResult = callLogResult.getLong(columnIndex); /* Method 1 to change the milliseconds obtained to the readable date formate */ Time time = new Time(); time.toMillis(true); time.set(timeInResult); String callDate= time.monthDay+"-"+time.month+"-"+time.year; /* Method 2 for extracting the date from tha value read from the column */ Calendar calendar = Calendar.getInstance(); calendar.setTimeInMillis(time); String Month = calendar.get(Calendar.MONTH) ; /* Method 3 for extracting date from the result obtained */ Date date = new Date(timeInResult); String mont = date.getMonth() While using the Calendar method , I also tried to set the DayLight SAving Offset but it didnot worked, calendar.setTimeZone(TimeZone.getTimeZone("Europe/Paris")); int DST_OFFSET = calendar.get( Calendar.DST_OFFSET ); // DST_OFFSET Boolean isSet = calendar.getTimeZone().useDaylightTime(); if(isSet) calendar.set(Calendar.DST_OFFSET , 0); int reCheck = calendar.get(Calendar.DST_OFFSET ); But the value is not set to 0 in recheck. I am getting the wrong month value by using this also. Please some one help me where I am wrong? or is this the error in emulator ?? Thanks, Nishant Kumar Engineering Student

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• T-sql Common expression query as subquery

  - by ase69s

  I have the following query: WITH Orders(Id) AS ( SELECT DISTINCT anfrageid FROM MPHotlineAnfrageAnhang ) SELECT Id, ( SELECT CONVERT(VARCHAR(255),anfragetext) + ' | ' FROM MPHotlineAnfrageAnhang WHERE anfrageid = Id ORDER BY anfrageid, erstelltam FOR XML PATH('') ) AS Descriptions FROM Orders Its concatenates varchar values of diferents rows grouped by an id. But now i want to include it as a subquery and it gives some errors i cant solve. Simplified example of use: select descriptions from ( WITH Orders(Id) AS ( SELECT DISTINCT anfrageid FROM MPHotlineAnfrageAnhang ) SELECT Id, ( SELECT CONVERT(VARCHAR(255),anfragetext) + ' | ' FROM MPHotlineAnfrageAnhang WHERE anfrageid = Id ORDER BY anfrageid, erstelltam FOR XML PATH('') ) AS Descriptions FROM Orders ) as tx where id=100012 Errors (Aproximate translation from spanish): -Incorrect sintaxis near 'WITH'. -Incorrect sintaxis near 'WITH'. If the instruction is a common table expression or a xmlnamespaces clause, the previous instruction must end with semicolon. -Incorrect sintaxis near ')'. What im doing wrong?

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• Spikes in Socket Performance

  - by Harun Prasad

  We are facing random spikes in high throughput transaction processing system using sockets for IPC. Below is the setup used for the run: The client opens and closes new connection for every transaction, and there are 4 exchanges between the server and the client. We have disabled the TIME_WAIT, by setting the socket linger (SO_LINGER) option via getsockopt as we thought that the spikes were caused due to the sockets waiting in TIME_WAIT. There is no processing done for the transaction. Only messages are passed. OS used Centos 5.4 The average round trip time is around 3 milli seconds, but some times the round trip time ranges from 100 milli seconds to couple of seconds. Steps used for Execution and Measurement and output Starting the server $ python sockServerLinger.py /dev/null & Starting the client to post 1 million transactions to the server. And logs the time for a transaction in the client.log file. $ python sockClient.py 1000000 client.log Once the execution finishes the following command will show the execution time greater than 100 milliseconds in the format <line_number>:<execution_time>. $ grep -n "0.[1-9]" client.log | less Below is the example code for Server and Client. Server # File: sockServerLinger.py import socket, traceback,time import struct host = '' port = 9999 l_onoff = 1 l_linger = 0 lingeropt = struct.pack('ii', l_onoff, l_linger) s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) s.setsockopt(socket.SOL_SOCKET, socket.SO_LINGER, lingeropt) s.bind((host, port)) s.listen(1) while 1: try: clientsock, clientaddr = s.accept() print "Got connection from", clientsock.getpeername() data = clientsock.recv(1024*1024*10) #print "asdasd",data numsent=clientsock.send(data) data1 = clientsock.recv(1024*1024*10) numsent=clientsock.send(data) ret = 1 while(ret>0): data1 = clientsock.recv(1024*1024*10) ret = len(data) clientsock.close() except KeyboardInterrupt: raise except: print traceback.print_exc() continue Client # File: sockClient.py import socket, traceback,sys import time i = 0 while 1: try: st = time.time() s = socket.socket(socket.AF_INET,socket.SOCK_STREAM) while (s.connect_ex(('127.0.0.1',9999)) != 0): continue numsent=s.send("asd"*1000) response = s.recv(6000) numsent=s.send("asd"*1000) response = s.recv(6000) i+=1 if i == int(sys.argv[1]): break except KeyboardInterrupt: raise except: print "in exec:::::::::::::",traceback.print_exc() continue print time.time() -st

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• SQL Server replication - Log Reader Agent Read Latency Issue, Please help

  - by envykok

  Hi all, I am facing one transactional replication delay issue on log reader agent. The log reader output is : ********* STATISTICS SINCE AGENT STARTED ************** 02-28-2011 20:12:08 Execution time (ms): 304141 Work time (ms): 304016 Distribute Repl Cmds Time(ms): 303764 Fetch time(ms): 300813 Repldone time(ms): 1826 Write time(ms): 5319 Num Trans: 15500 Num Trans/Sec: 50.984159 Num Cmds: 191639 Num Cmds/Sec: 630.358271 It seems Log Reader Reader-Thread Latency, and I also run 'sp_replcounters' and see more than 20,000 sec replication latency and keep on increasing. I used SQL profiler to monitor sp_replcmds and found sp_replcmds execution time was 11 sec to 15 sec Is it there any way to optimize to make Log Reader read faster from transaction log??? Other information: SQL Server 2008 (SP2) Standard 64 bit

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• What should programmers practice every day?

  - by Jacinda S

  Musicians practice scales, arpeggios, etc. every day before they begin playing "real" music. The top sports players spend time every day practicing fundamentals like dribbling before playing the "real" game. Are there fundamentals that programmers should practice every day before writing "real" code?

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• How does the Twitter rate limit API work with multiple accounts?

  - by dfrankow

  I know there's a Rest API to check the Twitter rate limit. To summarize policy: 150 for an IP, and 150 per non-whitelisted account except for searches (which are IP only). However, my app is using Twython, authenticated, but the limit seems to decrease for both my accounts as I use it. Example: No authentication: $ wget http://api.twitter.com/1/account/rate_limit_status.xml -O - <?xml version="1.0" encoding="UTF-8"?> <hash> <hourly-limit type="integer">150</hourly-limit> <reset-time-in-seconds type="integer">1266968961</reset-time-in-seconds> <reset-time type="datetime">2010-02-23T23:49:21+00:00</reset-time> <remaining-hits type="integer">134</remaining-hits> </hash> Authentication with account #1: $ wget --user b... --password=youwish http://api.twitter.com/1/account/rate_limit_status.xml -O - <?xml version="1.0" encoding="UTF-8"?> <hash> <reset-time-in-seconds type="integer">1266968961</reset-time-in-seconds> <reset-time type="datetime">2010-02-23T23:49:21+00:00</reset-time> <remaining-hits type="integer">134</remaining-hits> <hourly-limit type="integer">150</hourly-limit> </hash> Authentication with account #2: $ wget --user d... --password=youwish http://api.twitter.com/1/account/rate_limit_status.xml -O - <?xml version="1.0" encoding="UTF-8"?> <hash> <reset-time type="datetime">2010-02-23T23:49:21+00:00</reset-time> <remaining-hits type="integer">134</remaining-hits> <hourly-limit type="integer">150</hourly-limit> <reset-time-in-seconds type="integer">1266968961</reset-time-in-seconds> </hash> You see how both accounts seem to have exactly the same rate limit info (134/150)? I only used one account in my app, so why do both accounts show decrease?

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• Params order in Foo.new(params[:foo]), need one before the other (Rails)

  - by Jeena

  I have a problem which I don't know how to fix. It has to do with the unsorted params hash. I have a object Reservation which has a virtual time= attribute and a virtual eating_session= attribute when I set the time= I also want to validate it via an external server request. I do that with help of the method times() which makes a lookup on a other server and saves all possible times in the @times variable. The problem now is that the method times() needs the eating_session attribute to find out which times are valid, but rails sometimes calls the times= method first, before there is any eating_session in the Reservation object when I just do @reservation = Reservation.new(params[:reservation]) class ReservationsController < ApplicationController def new @reservation = Reservation.new(params[:reservation]) # ... end end class Reservation < ActiveRecord::Base include SoapClient attr_accessor :date, :time belongs_to :eating_session def time=(time) @time = times.find { |t| t[:time] == time } end def times return @times if defined? @times @times = [] response = call_soap :search_availability { # eating_session is sometimes nil :session_id => eating_session.code, # <- HERE IS THE PROBLEM :dining_date => date } response[:result].each do |result| @times << { :time => "#{DateTime.parse(result[:time]).strftime("%H:%M")}", :correlation_data => result[:correlation_data] } end @times end end I have no idea how to fix this, any help is apriciated.

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• How do I access variable values from one view controller in another?

  - by Thomas

  Hello all, I have an integer variable (time) in one view controller whose value I need in another view controller. Here's the code: MediaMeterViewController // TRP - On Touch Down event, start the timer -(IBAction) startTimer { time = 0; // TRP - Start a timer timer = [NSTimer scheduledTimerWithTimeInterval:1 target:self selector:@selector(updateTimer) userInfo:nil repeats:YES]; [timer retain]; // TRP - Retain timer so it is not accidentally deallocated } // TRP - Method to update the timer display -(void)updateTimer { time++; // NSLog(@"Seconds: %i ", time); if (NUM_SECONDS == time) [timer invalidate]; } // TRP - On Touch Up Inside event, stop the timer, decide stress level, display results -(IBAction) btn_MediaMeterResults { [timer invalidate]; NSLog(@"Seconds: %i ", time); ResultsViewController *resultsView = [[ResultsViewController alloc] initWithNibName:@"ResultsViewController" bundle:nil]; [self.view addSubview:resultsView.view]; } And in ResultsViewController, I want to process time based on its value ResultsViewController - (void)viewDidLoad { if(time < 3) {// Do something} else if ((time > 3) && (time < 6)) {// Do something else} //etc... [super viewDidLoad]; } I'm kind of unclear on when @property and @synthesize is necessary. Is that the case in this situation? Any help would be greatly appreciated. Thanks! Thomas

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• jQuery.ajax checking if there is already another xhr

  - by digitalFresh

  I have a page when, if the user is near the bottom of the page, loads the next page. I just recently switched it to jQuery, and now use the jQuery.ajax() function to get the data. However, now i cannot check if the xhr is already loading, making the page load multiple xhrs when the user near the bottom. My listener is: $(document).scroll(function () { if(/* scrollbar is near bottom */) loadxhr(dat++); //function that calls jQuery.ajax() } }); Basically, can you track the readyState of the call in a global scope?

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• Are Large iPhone Ping Times Indicative of Application Latency?

  - by yar

  I am contemplating creating a realtime app where an iPod Touch/iPhone/iPad talks to a server-side component (which produces MIDI, and sends it onward within the host). When I ping my iPod Touch on Wifi I get huge latency (and a enormous variance, too): 64 bytes from 192.168.1.3: icmp_seq=9 ttl=64 time=38.616 ms 64 bytes from 192.168.1.3: icmp_seq=10 ttl=64 time=61.795 ms 64 bytes from 192.168.1.3: icmp_seq=11 ttl=64 time=85.162 ms 64 bytes from 192.168.1.3: icmp_seq=12 ttl=64 time=109.956 ms 64 bytes from 192.168.1.3: icmp_seq=13 ttl=64 time=31.452 ms 64 bytes from 192.168.1.3: icmp_seq=14 ttl=64 time=55.187 ms 64 bytes from 192.168.1.3: icmp_seq=15 ttl=64 time=78.531 ms 64 bytes from 192.168.1.3: icmp_seq=16 ttl=64 time=102.342 ms 64 bytes from 192.168.1.3: icmp_seq=17 ttl=64 time=25.249 ms Even if this is double what the iPhone-Host or Host-iPhone time would be, 15ms+ is too long for the app I'm considering. Is there any faster way around this (e.g., USB cable)? If not, would building the app on Android offer any other options? Traceroute reports more workable times: traceroute to 192.168.1.3 (192.168.1.3), 64 hops max, 52 byte packets 1 192.168.1.3 (192.168.1.3) 4.662 ms 3.182 ms 3.034 ms can anyone decipher this difference between ping and traceroute for me, and what they might mean for an application that needs to talk to (and from) a host?

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• Flex: Push the Button

  - by Rachel

  For what real time scenarios/use cases one should go to Flex Technology ? What real time problems you have solved using Flex Technology ? What real time problems have you faced because of using Flex Technology and what was your work around for that use case ?

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• How to update QStandartItemModel without freezing the main UI

  - by user1044002

  I'm starting to learn PyQt4 and have been stuck on something for a long time now and can't figure it out myself: Here is the concept: There is a TreeView with custom QStandartItemModel, which gets rebuild every couple of seconds, and can have a lot (hundreds at least) of entries, there also will be additional delegates for the different columns etc. It's fairly complex and the building time for even plain model, without delegates, goes up to .3 sec, which makes the TreeView to freeze. Please advice me for the best approach on solving this. I was thing of somehow building the model in different thread, and eventually sending it to the TreeView, where it would just perform setModel() with the new one, but couldn't make that work. here is some code that may illustrate the problem a bit: from PyQt4.QtCore import * from PyQt4.QtGui import * import sys, os, re, time app = QApplication(sys.argv) REFRESH = 1 class Reloader_Thread(QThread): def __init__(self, parent = None): QThread.__init__(self, parent) self.loaders = ['\\', '--', '|', '/', '--'] self.emit(SIGNAL('refresh')) def run(self): format = '|%d/%b/%Y %H:%M:%S| ' while True: self.emit(SIGNAL('refresh')) self.sleep(REFRESH) class Model(QStandardItemModel): def __init__(self, viewer=None): QStandardItemModel.__init__(self,None) self.build() def build(self): stTime = time.clock() newRows = [] for r in range(1000): row = [] for c in range(12): item = QStandardItem('%s %02d%02d' % (time.strftime('%H"%M\'%S'), r,c)) row.append(item) newRows.append(row) eTime = time.clock() - stTime outStr = 'Build %03f' % eTime format = '|%d/%b/%Y %H:%M:%S| ' stTime = time.clock() self.beginRemoveRows(QModelIndex(), 0, self.rowCount()) self.removeRows(0, self.rowCount()) self.endRemoveRows() eTime = time.clock() - stTime outStr += ', Remove %03f' % eTime stTime = time.clock() numNew = len(newRows) for r in range(numNew): self.appendRow(newRows[r]) eTime = time.clock() - stTime outStr += ', Set %03f' % eTime self.emit(SIGNAL('status'), outStr) self.reset() w = QWidget() w.setGeometry(200,200,800,600) hb = QVBoxLayout(w) tv = QTreeView() tvm = Model(tv) tv.setModel(tvm) sb = QStatusBar() reloader = Reloader_Thread() tvm.connect(tvm, SIGNAL('status'), sb.showMessage) reloader.connect(reloader, SIGNAL('refresh'), tvm.build) reloader.start() hb.addWidget(tv) hb.addWidget(sb) w.show() app.setStyle('plastique') app.processEvents(QEventLoop.AllEvents) app.aboutToQuit.connect(reloader.quit) app.exec_()

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• hudson.util.ProcessTreeTest test error

  - by senzacionale

  error: Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.011 sec Running hudson.util.ProcessTreeTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.181 sec <<< FAILURE! Running hudson.model.LoadStatisticsTest Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.089 sec Running hudson.util.ArgumentListBuilderTest Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.053 sec Running hudson.util.RobustReflectionConverterTest Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.029 sec Running hudson.util.VersionNumberTest Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.074 sec Running hudson.util.CyclicGraphDetectorTest Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.038 sec Results : Tests in error: testRemoting(hudson.util.ProcessTreeTest) Tests run: 102, Failures: 0, Errors: 1, Skipped: 0 [INFO] ------------------------------------------------------------------------ [ERROR] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] There are test failures. Please refer to D:\PROJEKTI\Maven\hudson\main\core\target\surefire-reports for the individual test results. [INFO] ------------------------------------------------------------------------ [INFO] For more information, run Maven with the -e switch [INFO] ------------------------------------------------------------------------ [INFO] Total time: 17 minutes 58 seconds [INFO] Finished at: Fri Jun 11 21:04:46 CEST 2010 [INFO] Final Memory: 85M/152M [INFO] ------------------------------------------------------------------------ error log: ------------------------------------------------------------------------------- Test set: hudson.util.ProcessTreeTest ------------------------------------------------------------------------------- Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.181 sec <<< FAILURE! testRemoting(hudson.util.ProcessTreeTest) Time elapsed: 0.169 sec <<< ERROR! org.jvnet.winp.WinpException: Failed to read environment variable table error=299 at .\envvar-cmdline.cpp:114 at org.jvnet.winp.Native.getCmdLineAndEnvVars(Native Method) at org.jvnet.winp.WinProcess.parseCmdLineAndEnvVars(WinProcess.java:114) at org.jvnet.winp.WinProcess.getEnvironmentVariables(WinProcess.java:109) at hudson.util.ProcessTree$Windows$1.getEnvironmentVariables(ProcessTree.java:419) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at hudson.remoting.RemoteInvocationHandler$RPCRequest.perform(RemoteInvocationHandler.java:274) at hudson.remoting.RemoteInvocationHandler$RPCRequest.call(RemoteInvocationHandler.java:255) at hudson.remoting.RemoteInvocationHandler$RPCRequest.call(RemoteInvocationHandler.java:215) at hudson.remoting.UserRequest.perform(UserRequest.java:114) at hudson.remoting.UserRequest.perform(UserRequest.java:48) at hudson.remoting.Request$2.run(Request.java:270) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:441) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) at java.util.concurrent.FutureTask.run(FutureTask.java:138) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) at java.lang.Thread.run(Thread.java:619) does anyone have any idea what can be wrong in test? Regards

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• Python script, runs well, but not perfectly, debugging help.

  - by S1syphus

  What it does (sort of)... or is meant to, the script reads from a csv file that contains information on sound files and create a play list exactly 60 minutes long. An example csv, contains: their title, duration (in seconds), minium total time to be played (in minutes) An example is: Soundfoo,120,10 Soundbar,30,6 Sounddev,60,20 Soundrandom,15,8 The script works out the minimum instances of plays, take 'Soundfoo' for example, the length of each sample is 120 seconds and the minimum time to be played is 10 minutes, so basic maths 10*60/120 gives the number of instances the song is to be played, in this case 5. It is meant to take minimum number of instances and spread out equally from each other; so there will never be a period where for example Soundbar is played twice in a row. Then if the minium instances of each song has been used, and there is still time with in the 60 min, how is it possible to tell it to go back and fill the time by selecting each sound and including it till the 60 min is filled while remaining sparsely populated. Heres the issue(s)! The script fails to calculate the actual time require to play all the sounds in a file and the total time of the playlist, the thing is tho it doesn't get it wrong all the time maybe 3/5 times, even if I run it on the same csv file it will give me different answers. Here is the file I shall run the script on e for sake of ease to see the issue: Sound1,60,10 Sound2,60,10 Sound3,60,10 Sound4,60,10 Sound5,60,10 Sound6,60,10 I'll do it three times and post the results: 1 Required playtime in minutes: 60 Actual time in minutes to play all required ads: 62 Total playtime in minutes: 62.0 2 Required playtime in minutes: 60 Actual time in minutes to play all required ads: 71 Total playtime in minutes: 71.0 3 Required playtime in minutes: 60 Actual time in minutes to play all required ads: 60 Total playtime in minutes: 60.0 Relevant Code: pastebin.com/demkBXk6 And finally... in context: http://pastebin.com/demkBXk6 If you made it down to here, thanks for staying and reading, kudos.

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