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  • linux "date -s" command not working to change date on a server

    - by nelaar
    date +%T --set="12:19:06" 12:19:06 date Mon Nov 26 12:37:32 SAST 2012 I have tried many different forms of this command but nothing seams to work. In changing the date on this computer server running as VM is not working. Our messages log show messages like thise ntpd[3496]: time correction of -1098 seconds exceeds sanity limit (1000); set clock manually to the correct UTC time. Our server is now about 20 minutes out. It seams like our server has not been updating the time correctly for a few days. Nov 22 19:29:23 hostname ntpd[1818]: time reset -998.577519 s Nov 22 19:32:34 hostname ntpd[1818]: synchronized to LOCAL(0), stratum 10 Nov 22 19:33:39 hostname ntpd[1818]: synchronized to 41.134.20.28, stratum 1 Nov 22 19:52:30 hostname ntpd[1818]: time reset -998.992426 s Nov 22 19:55:47 hostname ntpd[1818]: synchronized to LOCAL(0), stratum 10 Nov 22 19:56:53 hostname ntpd[1818]: synchronized to 41.134.20.28, stratum 1 Nov 22 20:13:04 hostname ntpd[1818]: time reset -999.374412 s Nov 22 20:16:40 hostname ntpd[1818]: synchronized to LOCAL(0), stratum 10 Nov 22 20:17:44 hostname ntpd[1818]: synchronized to 41.134.20.28, stratum 1 Nov 22 20:32:02 hostname ntpd[1818]: time reset -999.716832 s Nov 22 20:35:28 hostname ntpd[1818]: synchronized to LOCAL(0), stratum 10 Nov 22 20:36:16 hostname ntpd[1818]: synchronized to 41.134.20.28, stratum 1 Nov 22 20:56:39 hostname ntpd[1818]: time correction of -1000 seconds exceeds sanity limit (1000); set clock manually to the correct UTC time.

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  • PHP's page generation time takes 0.01s. 1/0.01 = 100; however i'm having problems reaching that number of request per seconds. Why?

    - by cedivad
    On average, my PHP page generation time is 10ms. So i should be able to execute 100 requests one after the other one (using a single core on the server, since that php is not multithreaded). However, i'm having problems reaching 50 pages per seconds. As of now i do 25 on avg., with a medium load. The application is really light, it consist in a read (<5KB) from a pool of SSDs, some read queries solved by indexes. Where should i look to solve this bottleneck?

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  • Try to fill the GAE datastore but the code consumes to much cpu time. How to optimize this?

    - by Neverland
    I try to get the list of images in Amazon EC2 inside the Google datastore. I want to realize this with a cron job inside the GAE. class AmazonEC2uswest(db.Model): ami = db.StringProperty(required=True) mani = db.StringProperty() typ = db.StringProperty() arch = db.StringProperty() state = db.StringProperty() owner = db.StringProperty() class CronAMIsAmazonUS_WEST(webapp.RequestHandler): def get(self): aws_access_key_id_admin = "<secret>" aws_secret_access_key_admin = "<secret>" conn_us_west = boto.ec2.connect_to_region('us-west-1', aws_access_key_id=aws_access_key_id_admin, aws_secret_access_key=aws_secret_access_key_admin, is_secure = False) liste_images_us_west = conn_us_west.get_all_images() laenge_liste_images_us_west = len(liste_images_us_west) for i in range(laenge_liste_images_us_west): datastore_uswest_AMIs = AmazonEC2uswest(ami=liste_images_us_west[i].id, mani=str(liste_images_us_west[i].location), typ=liste_images_us_west[i].type, arch=liste_images_us_west[i].architecture, state=liste_images_us_west[i].state, owner=liste_images_us_west[i].ownerId) datastore_uswest_AMIs.put() The problem: Getting the list with get_all_images() lasts only a few seconds. But writing the data to the Google datastore needs way too much CPU time. My IBM T42p (P4M with 2GHz) needs for that piece of code approx. 1 Minute! Is it possible to optimize my code in a way that it needs fewer CPU time?

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  • Windows Azure Use Case: Web Applications

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Many applications have a requirement to be located outside of the organization’s internal infrastructure control. For instance, the company website for a brick-and-mortar retail company may want to post not only static but interactive content to be available to their external customers, and not want the customers to have access inside the organization’s firewall. There are also cases of pure web applications used for a great many of the internal functions of the business. This allows for remote workers, shared customer/employee workloads and data and other advantages. Some firms choose to host these web servers internally, others choose to contract out the infrastructure to an “ASP” (Application Service Provider) or an Infrastructure as a Service (IaaS) company. In any case, the design of these applications often resembles the following: In this design, a server (or perhaps more than one) hosts the presentation function (http or https) access to the application, and this same system may hold the computational aspects of the program. Authorization and Access is controlled programmatically, or is more open if this is a customer-facing application. Storage is either placed on the same or other servers, hosted within an RDBMS or NoSQL database, or a combination of the options, all coded into the application. High-Availability within this scenario is often the responsibility of the architects of the application, and by purchasing more hosting resources which must be built, licensed and configured, and manually added as demand requires, although some IaaS providers have a partially automatic method to add nodes for scale-out, if the architecture of the application supports it. Disaster Recovery is the responsibility of the system architect as well. Implementation: In a Windows Azure Platform as a Service (PaaS) environment, many of these architectural considerations are designed into the system. The Azure “Fabric” (not to be confused with the Azure implementation of Application Fabric - more on that in a moment) is designed to provide scalability. Compute resources can be added and removed programmatically based on any number of factors. Balancers at the request-level of the Fabric automatically route http and https requests. The fabric also provides High-Availability for storage and other components. Disaster recovery is a shared responsibility between the facilities (which have the ability to restore in case of catastrophic failure) and your code, which should build in recovery. In a Windows Azure-based web application, you have the ability to separate out the various functions and components. Presentation can be coded for multiple platforms like smart phones, tablets and PC’s, while the computation can be a single entity shared between them. This makes the applications more resilient and more object-oriented, and lends itself to a SOA or Distributed Computing architecture. It is true that you could code up a similar set of functionality in a traditional web-farm, but the difference here is that the components are built into the very design of the architecture. The API’s and DLL’s you call in a Windows Azure code base contains components as first-class citizens. For instance, if you need storage, it is simply called within the application as an object.  Computation has multiple options and the ability to scale linearly. You also gain another component that you would either have to write or bolt-in to a typical web-farm: the Application Fabric. This Windows Azure component provides communication between applications or even to on-premise systems. It provides authorization in either person-based or claims-based perspectives. SQL Azure provides relational storage as another option, and can also be used or accessed from on-premise systems. It should be noted that you can use all or some of these components individually. Resources: Design Strategies for Scalable Active Server Applications - http://msdn.microsoft.com/en-us/library/ms972349.aspx  Physical Tiers and Deployment  - http://msdn.microsoft.com/en-us/library/ee658120.aspx

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  • Oracle Data Integration 12c: Simplified, Future-Ready, High-Performance Solutions

    - by Thanos Terentes Printzios
    In today’s data-driven business environment, organizations need to cost-effectively manage the ever-growing streams of information originating both inside and outside the firewall and address emerging deployment styles like cloud, big data analytics, and real-time replication. Oracle Data Integration delivers pervasive and continuous access to timely and trusted data across heterogeneous systems. Oracle is enhancing its data integration offering announcing the general availability of 12c release for the key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c, delivering Simplified and High-Performance Solutions for Cloud, Big Data Analytics, and Real-Time Replication. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. With the 12c release Oracle becomes the new leader in the data integration and replication technologies as no other vendor offers such a complete set of data integration capabilities for pervasive, continuous access to trusted data across Oracle platforms as well as third-party systems and applications. Oracle Data Integration 12c release addresses data-driven organizations’ critical and evolving data integration requirements under 3 key themes: Future-Ready Solutions : Supporting Current and Emerging Initiatives Extreme Performance : Even higher performance than ever before Fast Time-to-Value : Higher IT Productivity and Simplified Solutions  With the new capabilities in Oracle Data Integrator 12c, customers can benefit from: Superior developer productivity, ease of use, and rapid time-to-market with the new flow-based mapping model, reusable mappings, and step-by-step debugger. Increased performance when executing data integration processes due to improved parallelism. Improved productivity and monitoring via tighter integration with Oracle GoldenGate 12c and Oracle Enterprise Manager 12c. Improved interoperability with Oracle Warehouse Builder which enables faster and easier migration to Oracle Data Integrator’s strategic data integration offering. Faster implementation of business analytics through Oracle Data Integrator pre-integrated with Oracle BI Applications’ latest release. Oracle Data Integrator also integrates simply and easily with Oracle Business Analytics tools, including OBI-EE and Oracle Hyperion. Support for loading and transforming big and fast data, enabled by integration with big data technologies: Hadoop, Hive, HDFS, and Oracle Big Data Appliance. Only Oracle GoldenGate provides the best-of-breed real-time replication of data in heterogeneous data environments. With the new capabilities in Oracle GoldenGate 12c, customers can benefit from: Simplified setup and management of Oracle GoldenGate 12c when using multiple database delivery processes via a new Coordinated Delivery feature for non-Oracle databases. Expanded heterogeneity through added support for the latest versions of major databases such as Sybase ASE v 15.7, MySQL NDB Clusters 7.2, and MySQL 5.6., as well as integration with Oracle Coherence. Enhanced high availability and data protection via integration with Oracle Data Guard and Fast-Start Failover integration. Enhanced security for credentials and encryption keys using Oracle Wallet. Real-time replication for databases hosted on public cloud environments supported by third-party clouds. Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c and other Oracle technologies, such as Oracle Database 12c and Oracle Applications, provides a number of benefits for organizations: Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c enables developers to leverage Oracle GoldenGate’s low overhead, real-time change data capture completely within the Oracle Data Integrator Studio without additional training. Integration with Oracle Database 12c provides a strong foundation for seamless private cloud deployments. Delivers real-time data for reporting, zero downtime migration, and improved performance and availability for Oracle Applications, such as Oracle E-Business Suite and ATG Web Commerce . Oracle’s data integration offering is optimized for Oracle Engineered Systems and is an integral part of Oracle’s fast data, real-time analytics strategy on Oracle Exadata Database Machine and Oracle Exalytics In-Memory Machine. Oracle Data Integrator 12c and Oracle GoldenGate 12c differentiate the new offering on data integration with these many new features. This is just a quick glimpse into Oracle Data Integrator 12c and Oracle GoldenGate 12c. Find out much more about the new release in the video webcast "Introducing 12c for Oracle Data Integration", where customer and partner speakers, including SolarWorld, BT, Rittman Mead will join us in launching the new release. Resource Kits Meet Oracle Data Integration 12c  Discover what's new with Oracle Goldengate 12c  Oracle EMEA DIS (Data Integration Solutions) Partner Community is available for all your questions, while additional partner focused webcasts will be made available through our blog here, so stay connected. For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Stay Connected Oracle Newsletters

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  • JDeveloper 11g R1 (11.1.1.4.0) - New Features on ADF Desktop Integration Explained

    - by juan.ruiz
    One of the areas that introduced many new features on the latest release (11.1.1.4.0)  of JDeveloper 11g R1 is ADF Desktop integration - in this article I’ll provide an overview of these new features. New ADF Desktop Integration Ribbon in Excel - After installing the ADF desktop integration add-in and depending on the mode in which you open the desktop integration workbook, the ADF Desktop integration ribbon for design time and runtime are displayed as a separate tab within Excel. In previous version the ADF Desktop integration environment used to be placed inside the add-ins tab. Above you can see both, design time ribbon as well as runtime ribbon. On the design time ribbon you can manage the workbook and worksheet properties, worksheet component properties, diagnostics, execution and publication of the workbook. The runtime version of the ribbon is totally customizable and represents what it used to be the runtime menu on the spreadsheet, in this ribbon you can include all the operations and actions that could be executed by the end user while working with the spreadsheet data. Diagnostics - A very important aspect for developers is how to debug or verify the interactions of the client with the server, for that ADF desktop integration has provided since day one a series of diagnostics tools. In this release the diagnostics tools are more visible and are really easy to configure. You can access the client console while testing the workbook, or you can simple dump all the messages to a log file – having the ability of setting the output level for both. Security - There are a number of enhancements on security but the one with more impact for developers is tha security now is optional when using ADF Desktop Integration. Until this version every time that you wanted to work with ADFdi it was a must that the application was previously secured. In this release security is optional which means that if you have previously defined security on your application, then you must secure the ADFdi servlet as explained in one of my previous (ADD LINK) posts. In the other hand, if but the time that you start working with ADFdi you have not defined security, you can test and publish your workbooks without adding security. Support for Continuous Integration - In this release we have added tooling for continuous integration building. in the ADF desktop integration space, the concept translates to adding functionality that developers can use to publish ADFdi workbooks as part of their entire application build. For that purpose, we have a publish tool that can be easily invoke from an ANT task such that all the design time workbooks are re-published into the latest version of the application building process. Key Column - At runtime, on any worksheet containing editable tables you will notice a new additional column called the key column. The purpose of this column is to make the end user aware that all rows on the table need to be selected at the time of sorting. The users cannot alter the value of this column. From the developers points of view there are no steps required in order to have the key column included into the worksheets. Installation and Creation of New Workbooks - Both use cases can be executed now directly from JDeveloper. As part of the Tools menu options the developer can install the ADF desktop integration designer. Also, creating new workbooks that previously was done through that convert tool shipped with JDeveloper is now automatic done from the New Gallery. Creating a new ADFdi workbook adds metadata information information to the Excel workbook so you can work in design time. Other Enhancements Support for Excel 2010 and the ADF components ready-only enabled don’t allow to change its value – the cell in Excel is automatically protected, this could cause confusion among customers of previous releases.

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  • Lost in Translation – Common Mistakes Interpreting Patterns – Mark Simpson, Griffiths-Waite @ SOA, Cloud & Service Technology Symposium 2012

    - by JuergenKress
    ORACLE PROMOTIONAL DISCOUNT FOR EXCLUSIVE ORACLE DISCOUNT, ENTER PROMO CODE: DJMXZ370 For details please visit the registration page International SOA, Cloud + Service Technology Symposium is a yearly event that features the top experts and authors from around the world, providing a series of keynotes, talks, demonstrations, and panels, as well as training and certification workshops - all dedicated to empowering IT professionals to realize modern service technologies and practices in the real world. Click here for a two-page printable conference overview (PDF). Speaker: Mark Simpson, Griffiths-Waite Mark has been specialising in Oracle technology for 13 years, the last 10 of these with Griffiths Waite. Mark leads our SOA technology practice (covering SOA, Business Process Management and Enterprise Architecture). He is a much sought after presenter on the Oracle and SOA conference circuits, and a respected authority on these technologies. Mark has advised a host of UK leading organisations on the deployment of BPM / SOA solutions. Working closely with Oracle US Product Development Mark has contributed to Oracle's SOA Methodology and Oracle's SOA Maturity Model. Lost in Translation – Common Mistakes Interpreting Patterns Learn how small misinterpretations of high-level design patterns can have large and costly project ramifications. Good SOA design benefits from the use of a reference architecture and standardised design patterns. However both of these concepts give an abstracted view of the intended solution, which needs to be interpreted to become realised. A reference implementation is important to demonstrate how key design guidelines can be implemented in the toolset of choice, but the main success factor is how these are used through the build and post live phases of the project. This session will introduce practical design patterns with supporting implementation examples that, if used correctly, will give long term benefit. We will highlight implementations where misinterpretations or misalignment from pattern aims have led to issues post implementation. The session will add depth to the pattern discussions you are already having enabling confidence in proceeding to the next level of realisation whilst considering how they may be implemented within your solution and chosen toolset. September 25, 2012 - 13:55 KEYNOTES & SPEAKERS More than 80 international subject matter experts will be speaking at the Symposium. Below are confirmed keynotes and speakers so far. Over 50% of the agenda has not yet been finalized. Many more speakers to come. View the partial program calendars on the Conference Agenda page. CONFERENCE THEMES & TRACKS Cloud Computing Architecture & Patterns New SOA & Service-Orientation Practices & Models Emerging Service Technology Innovation Service Modeling & Analysis Techniques Service Infrastructure & Virtualization Cloud-based Enterprise Architecture Business Planning for Cloud Computing Projects Real World Case Studies Semantic Web Technologies (with & without the Cloud) Governance Frameworks for SOA and/or Cloud Computing Projects Service Engineering & Service Programming Techniques Interactive Services & the Human Factor New REST & Web Services Tools & Techniques Oracle Specialized SOA & BPM Partners Oracle Specialized partners have proven their skills by certifications and customer references. To find a local Specialized partner please visit http://solutions.oracle.com SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: Mark Simpson,Griffiths Waite,SOA Patterns,SOA Symposium,Thomas Erl,SOA Community,Oracle SOA,Oracle BPM,BPM,Community,OPN,Jürgen Kress

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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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  • SQL SERVER – Curious Case of Disappearing Rows – ON UPDATE CASCADE and ON DELETE CASCADE – T-SQL Example – Part 2 of 2

    - by pinaldave
    Yesterday I wrote a real world story of how a friend who thought they have an issue with intrusion or virus whereas the issue was really in the code. I strongly suggest you read my earlier blog post Curious Case of Disappearing Rows – ON UPDATE CASCADE and ON DELETE CASCADE – Part 1 of 2 before continuing this blog post as this is second part of the first blog post. Let me reproduce the simple scenario in T-SQL. Building Sample Data USE [TestDB] GO -- Creating Table Products CREATE TABLE [dbo].[Products]( [ProductID] [int] NOT NULL, [ProductDesc] [varchar](50) NOT NULL, CONSTRAINT [PK_Products] PRIMARY KEY CLUSTERED ( [ProductID] ASC )) ON [PRIMARY] GO -- Creating Table ProductDetails CREATE TABLE [dbo].[ProductDetails]( [ProductDetailID] [int] NOT NULL, [ProductID] [int] NOT NULL, [Total] [int] NOT NULL, CONSTRAINT [PK_ProductDetails] PRIMARY KEY CLUSTERED ( [ProductDetailID] ASC )) ON [PRIMARY] GO ALTER TABLE [dbo].[ProductDetails] WITH CHECK ADD CONSTRAINT [FK_ProductDetails_Products] FOREIGN KEY([ProductID]) REFERENCES [dbo].[Products] ([ProductID]) ON UPDATE CASCADE ON DELETE CASCADE GO -- Insert Data into Table USE TestDB GO INSERT INTO Products (ProductID, ProductDesc) SELECT 1, 'Bike' UNION ALL SELECT 2, 'Car' UNION ALL SELECT 3, 'Books' GO INSERT INTO ProductDetails ([ProductDetailID],[ProductID],[Total]) SELECT 1, 1, 200 UNION ALL SELECT 2, 1, 100 UNION ALL SELECT 3, 1, 111 UNION ALL SELECT 4, 2, 200 UNION ALL SELECT 5, 3, 100 UNION ALL SELECT 6, 3, 100 UNION ALL SELECT 7, 3, 200 GO Select Data from Tables -- Selecting Data SELECT * FROM Products SELECT * FROM ProductDetails GO Delete Data from Products Table -- Deleting Data DELETE FROM Products WHERE ProductID = 1 GO Select Data from Tables Again -- Selecting Data SELECT * FROM Products SELECT * FROM ProductDetails GO Clean up Data -- Clean up DROP TABLE ProductDetails DROP TABLE Products GO My friend was confused as there was no delete was firing over ProductsDetails Table still there was a delete happening. The reason was because there is a foreign key created between Products and ProductsDetails Table with the keywords ON DELETE CASCADE. Due to ON DELETE CASCADE whenever is specified when the data from Table A is deleted and if it is referenced in another table using foreign key it will be deleted as well. Workaround 1: Design Changes – 3 Tables Change the design to have more than two tables. Create One Product Mater Table with all the products. It should historically store all the products list in it. No products should be ever removed from it. Add another table called Current Product and it should contain only the table which should be visible in the product catalogue. Another table should be called as ProductHistory table. There should be no use of CASCADE keyword among them. Workaround 2: Design Changes - Column IsVisible You can keep the same two tables. 1) Products and 2) ProductsDetails. Add a column with BIT datatype to it and name it as a IsVisible. Now change your application code to display the catalogue based on this column. There should be no need to delete anything. Workaround 3: Bad Advices (Bad advises begins here) The reason I have said bad advices because these are going to be bad advices for sure. You should make necessary design changes and not use poor workarounds which can damage the system and database integrity further. Here are the examples 1) Do not delete the data – well, this is not a real solution but can give time to implement design changes. 2) Do not have ON CASCADE DELETE – in this case, you will have entry in productsdetails which will have no corresponding product id and later on there will be lots of confusion. 3) Duplicate Data – you can have all the data of the product table move to the product details table and repeat them at each row. Now remove CASCADE code. This will let you delete the product table rows without any issue. There are so many things wrong this suggestion, that I will not even start here. (Bad advises ends here)  Well, did I miss anything? Please help me with your suggestions. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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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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  • 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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  • 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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  • GUI for touchscreen panel

    - by Surjya Narayana Padhi
    Hi Geeks, I am planning to design an embedded device which will have atom processor platform and linux OS in it. It will have an 7" touchscreen panel. In stead of going for KDE and GNOME desktops I want to design my small desktop environment for the device. Can anyone please suggest which GUI tool I should use to design a desktop from scratch?

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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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  • Templates vs. coded HTML

    - by Alan Harris-Reid
    I have a web-app consisting of some html forms for maintaining some tables (SQlite, with CherryPy for web-server stuff). First I did it entirely 'the Python way', and generated html strings via. code, with common headers, footers, etc. defined as functions in a separate module. I also like the idea of templates, so I tried Jinja2, which I find quite developer-friendly. In the beginning I thought templates were the way to go, but that was when pages were simple. Once .css and .js files were introduced (not necessarily in the same folder as the .html files), and an ever-increasing number of {{...}} variables and {%...%} commands were introduced, things started getting messy at design-time, even though they looked great at run-time. Things got even more difficult when I needed additional javascript in the or sections. As far as I can see, the main advantages of using templates are: Non-dynamic elements of page can easily be viewed in browser during design. Except for {} placeholders, html is kept separate from python code. If your company has a web-page designer, they can still design without knowing Python. while some disadvantages are: {{}} delimiters visible when viewed at design-time in browser Associated .css and .js files have to be in same folder to see effects in browser at design-time. Data, variables, lists, etc., must be prepared in advanced and either declared globally or passed as parameters to render() function. So - when to use 'hard-coded' HTML, and when to use templates? I am not sure of the best way to go, so I would be interested to hear other developers' views. TIA, Alan

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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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  • Is there a utility that can monitor open windows/ in .net winforms?

    - by Jules
    This is a general question, but I'll explain my specific need at the moment: I want to find the framework class that enables one to choose an image at design-time. I can find the editor that is used at run-time - its the Drawing.Design.ImageEditor. At design time, however, a different editor pops up which allows one to choose an image from resources. I'm guessing I could run some kind of program, then open up the image editor, from the property grid, and see what new windows/classes have been created? Thanks

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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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