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• Windows 7 explorer always crashes, opens small "Personalized Settings" window

  - by Ian Sellar

  My Windows 7 desktop PC, built by me, started acting very weird in the last couple of days. I use it quite often, about half of the time through TeamViewer. Explorer would crash and restart randomly, almost always through TeamViewer. This made me suspect that TeamViewer was the problem but I have reproduced it with and without TeamViewer several times. The only way I can seem to get the problem not to occur is by booting into Safe Mode. I have used CCleaner and Malwarebytes to make sure it wasn't a registry error or malware causing the problem, and I have tried the fix in the seemly related issue here as well every other fix I have found online including removing security updates KB980408 and KB2926765 as well as using "sfc /scannow" and a bunch of other things I can't remember. More recently when I try to start explorer it is popping up a small window that says "Personalized Settings" on the top, but is completely empty and crashes instantly. The only way I can get it to disappear is to kill the explorer.exe process. I wish I could take a screenshot but I can't seem to open paint or even find the exe. I have tried restarting it, I have tried starting it while the personalized settings window was open. I have come up with two lists of processes the first is the list of active processes when I boot into safe mode and explorer seems to work fine. The second is the list of processes that I can narrow it down to in normal boot and still replicate the problem. There is one process that I can't seem to close. NisSrv.exe which is describes as "Microsoft Network Realtime Inspection Service". When I try to close the process NisSrv.exe it says "The operation could not be completed. Access is denied." When I try to close the related service it gives the same message. Image Name PID Session Name Session# Mem Usage ========================= ======== ================ =========== ============ System Idle Process 0 Services 0 24 K System 4 Services 0 2,660 K smss.exe 304 Services 0 1,196 K csrss.exe 408 Services 0 4,156 K wininit.exe 444 Services 0 4,608 K csrss.exe 452 Console 1 8,700 K services.exe 492 Services 0 7,700 K winlogon.exe 524 Console 1 5,756 K lsass.exe 536 Services 0 10,644 K lsm.exe 544 Services 0 4,316 K svchost.exe 652 Services 0 8,976 K MsMpEng.exe 804 Services 0 40,696 K explorer.exe 1332 Console 1 85,220 K ctfmon.exe 1376 Console 1 3,680 K dllhost.exe 1624 Console 1 8,656 K chrome.exe 1408 Console 1 98,504 K WmiPrvSE.exe 2352 Services 0 6,472 K chrome.exe 1744 Console 1 65,116 K taskmgr.exe 372 Console 1 14,948 K cmd.exe 2776 Console 1 2,960 K conhost.exe 1816 Console 1 3,580 K tasklist.exe 2308 Console 1 5,868 K And the list of processes I have narrowed it down to. Image Name PID Session Name Session# Mem Usage ========================= ======== ================ =========== ============ System Idle Process 0 Services 0 24 K System 4 Services 0 2,808 K smss.exe 316 Services 0 1,216 K csrss.exe 484 Services 0 4,532 K wininit.exe 596 Services 0 4,604 K csrss.exe 604 Console 1 23,676 K services.exe 652 Services 0 11,344 K lsass.exe 668 Services 0 12,692 K lsm.exe 676 Services 0 4,464 K MsMpEng.exe 972 Services 0 68,436 K winlogon.exe 168 Console 1 7,784 K svchost.exe 496 Services 0 19,140 K NisSrv.exe 3176 Services 0 808 K svchost.exe 1684 Services 0 11,260 K taskmgr.exe 4524 Console 1 20,696 K cmd.exe 4764 Console 1 7,224 K conhost.exe 4772 Console 1 6,916 K sublime_text.exe 2340 Console 1 45,012 K dllhost.exe 4476 Console 1 8,736 K tasklist.exe 3796 Console 1 5,768 K WmiPrvSE.exe 1768 Services 0 6,344 K Here is the event data xml from event viewer for the error I am getting. <EventData> <Data>explorer.exe</Data> <Data>6.1.7601.17567</Data> <Data>4d672ee4</Data> <Data>vrfcore.dll</Data> <Data>6.3.9600.16384</Data> <Data>5215f8f5</Data> <Data>80000003</Data> <Data>0000000000003a00</Data> <Data>12e4</Data> <Data>01cfb84fa70f89dc</Data> <Data>C:\Windows\system32\explorer.exe</Data> <Data>C:\Windows\SYSTEM32\vrfcore.dll</Data> <Data>e5957093-2442-11e4-9f8a-94de806ed9cb</Data> </EventData> I was looking through the eventvwr log again and I found this, possibly related <EventData> <Data>runonce.exe</Data> <Data>6.1.7601.17514</Data> <Data>4ce7a253</Data> <Data>MSVCR100.dll</Data> <Data>10.0.40219.325</Data> <Data>4df2bcac</Data> <Data>c0000005</Data> <Data>000000000003c145</Data> <Data>670</Data> <Data>01cfb8dabbd85942</Data> <Data>C:\Windows\system32\runonce.exe</Data> <Data>C:\Windows\system32\MSVCR100.dll</Data> <Data>fa6f82b9-24cd-11e4-80a8-94de806ed9cb</Data> </EventData> And the general error details Faulting application name: Explorer.EXE, version: 6.1.7601.17567, time stamp: 0x4d672ee4 Faulting module name: vrfcore.dll, version: 6.3.9600.16384, time stamp: 0x5215f8f5 Exception code: 0x80000003 Fault offset: 0x0000000000003a00 Faulting process id: 0xc38 Faulting application start time: 0x01cfb84e5e852c5f Faulting application path: C:\Windows\Explorer.EXE Faulting module path: C:\Windows\SYSTEM32\vrfcore.dll Report Id: 9dc19e6d-2441-11e4-9f8a-94de806ed9cb Another probably unrelated error that I seem to be getting pretty often. Event filter with query "SELECT * FROM __InstanceModificationEvent WITHIN 60 WHERE TargetInstance ISA "Win32_Processor" AND TargetInstance.LoadPercentage > 99" could not be reactivated in namespace "//./root/CIMV2" because of error 0x80041003. Events cannot be delivered through this filter until the problem is corrected. My explorer tab in Autoruns seen below along with the error when I try to uncheck something. I should add that I seem to be able to disable shell extensions with ShellExView but I still can't get explorer to start correctly. EXPLORER SHELL UPDATE - See screenshot below I can access the explorer right click menu through a file manager I downloaded called NexusFile, but still no luck starting explorer. Another round of errors that I am getting regarding Windows Search Service The search service has detected corrupted data files in the index {id=4700}. The service will attempt to automatically correct this problem by rebuilding the index. Details: The content index catalog is corrupt. (HRESULT : 0xc0041801) (0xc0041801) followed by The Windows Search Service is being stopped because there is a problem with the indexer: The catalog is corrupt. Details: The content index catalog is corrupt. (HRESULT : 0xc0041801) (0xc0041801 and The plug-in in <Search.JetPropStore> cannot be initialized. Context: Windows Application, SystemIndex Catalog Details: The content index catalog is corrupt. (HRESULT : 0xc0041801) (0xc0041801) and The gatherer object cannot be initialized. Context: Windows Application, SystemIndex Catalog Details: The content index catalog is corrupt. (HRESULT : 0xc0041801) (0xc0041801) and The Windows Search Service cannot load the property store information. Context: Windows Application, SystemIndex Catalog Details: The content index database is corrupt. (HRESULT : 0xc0041800) (0xc0041800) WER Log http://pastebin.com/WXKGDT4Q I'll add information as I remember it or people request it.

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• Backup data rate on Raspberry Pi maxing out at 5 Mb/s. Why?

  - by bastibe

  I set up my Raspberry Pi as a Time Machine, as documented here. At the moment, the Raspberry Pi is connected to my MacBook Pro using a direct Ethernet cable. Also, an external hard drive (laptop drive) is connected to the Raspberry Pi using the USB port. However, backups are pretty slow. Activity Monitor claims that the Network is transferring a very steady 5 Mb/s, where my Time Capsule is transferring up to 8 Mb/s with a lot of fluctuation. The Raspberry Pi self-reports (top) that its CPU is only half-used, with about equal parts afpd, usb-storage and jbd2/sda1-8. Thus, I think that the processing power of the Raspberry Pi does not seem to be the problem here. To me, this looks like there is some kind of bottleneck that maxes out at 5 Mb/s thus potentially having my backups run at less than their potential speed. To the best of my knowledge, this might be the afp-daemon, the usb-bus or the external hard drive. So, my question is, how could I identify the true culprit and what can I do about it?

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• Excel: What formula combines this data into one COUNT amount?

  - by Mike

  I have 30 colleagues who are answering questions over 3 time periods. Each has their own Excel workbook with the questions, and over the year they update it. I collate their worksheets into one master worksheet, but now need to combine their answers into a simple table. The questions, the time periods and then a COUNT of how many answered it. For example: I need a table that shows me how many people (not the persons name at this point) answered question 10 in time period 2. I can't use a database before someone mentions it ;). Many thanks Mike.

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• How to store data on a machine whose power gets cut at random

  - by Sevas

  I have a virtual machine (Debian) running on a physical machine host. The virtual machine acts as a buffer for data that it frequently receives over the local network (the period for this data is 0.5s, so a fairly high throughput). Any data received is stored on the virtual machine and repeatedly forwarded to an external server over UDP. Once the external server acknowledges (over UDP) that it has received a data packet, the original data is deleted from the virtual machine and not sent to the external server again. The internet connection that connects the VM and the external server is unreliable, meaning it could be down for days at a time. The physical machine that hosts the VM gets its power cut several times per day at random. There is no way to tell when this is about to happen and it is not possible to add a UPS, a battery, or a similar solution to the system. Originally, the data was stored on a file-based HSQLDB database on the virtual machine. However, the frequent power cuts eventually cause the database script file to become corrupted (not at the file system level, i.e. it is readable, but HSQLDB can't make sense of it), which leads to my question: How should data be stored in an environment where power cuts can and do happen frequently? One option I can think of is using flat files, saving each packet of data as a file on the file system. This way if a file is corrupted due to loss of power, it can be ignored and the rest of the data remains intact. This poses a few issues however, mainly related to the amount of data likely being stored on the virtual machine. At 0.5s between each piece of data, 1,728,000 files will be generated in 10 days. This at least means using a file system with an increased number of inodes to store this data (the current file system setup ran out of inodes at ~250,000 messages and 30% disk space used). Also, it is hard (not impossible) to manage. Are there any other options? Are there database engines that run on Debian that would not get corrupted by power cuts? Also, what file system should be used for this? ext3 is what is used at the moment. The software that runs on the virtual machine is written using Java 6, so hopefully the solution would not be incompatible.

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• S#harp architecture mapping many to many and ado.net data services: A single resource was expected f

  - by Leg10n

  Hi, I'm developing an application that reads data from a SQL server database (migrated from a legacy DB) with nHibernate and s#arp architecture through ADO.NET Data services. I'm trying to map a many-to-many relationship. I have a Error class: public class Error { public virtual int ERROR_ID { get; set; } public virtual string ERROR_CODE { get; set; } public virtual string DESCRIPTION { get; set; } public virtual IList<ErrorGroup> GROUPS { get; protected set; } } And then I have the error group class: public class ErrorGroup { public virtual int ERROR_GROUP_ID {get; set;} public virtual string ERROR_GROUP_NAME { get; set; } public virtual string DESCRIPTION { get; set; } public virtual IList<Error> ERRORS { get; protected set; } } And the overrides: public class ErrorGroupOverride : IAutoMappingOverride<ErrorGroup> { public void Override(AutoMapping<ErrorGroup> mapping) { mapping.Table("ERROR_GROUP"); mapping.Id(x => x.ERROR_GROUP_ID, "ERROR_GROUP_ID"); mapping.IgnoreProperty(x => x.Id); mapping.HasManyToMany<Error>(x => x.Error) .Table("ERROR_GROUP_LINK") .ParentKeyColumn("ERROR_GROUP_ID") .ChildKeyColumn("ERROR_ID").Inverse().AsBag(); } } public class ErrorOverride : IAutoMappingOverride<Error> { public void Override(AutoMapping<Error> mapping) { mapping.Table("ERROR"); mapping.Id(x => x.ERROR_ID, "ERROR_ID"); mapping.IgnoreProperty(x => x.Id); mapping.HasManyToMany<ErrorGroup>(x => x.GROUPS) .Table("ERROR_GROUP_LINK") .ParentKeyColumn("ERROR_ID") .ChildKeyColumn("ERROR_GROUP_ID").AsBag(); } } When I view the Data service in the browser like: http://localhost:1905/DataService.svc/Errors it shows the list of errors with no problems, and using it like http://localhost:1905/DataService.svc/Errors(123) works too. The Problem When I want to see the Errors in a group or the groups form an error, like: "http://localhost:1905/DataService.svc/Errors(123)?$expand=GROUPS" I get the XML Document, but the browser says: The XML page cannot be displayed Cannot view XML input using XSL style sheet. Please correct the error and then click the Refresh button, or try again later. -------------------------------------------------------------------------------- Only one top level element is allowed in an XML document. Error processing resource 'http://localhost:1905/DataServic... <error xmlns="http://schemas.microsoft.com/ado/2007/08/dataservices/metadata"> -^ I view the sourcecode, and I get the data. However it comes with an exception: <error xmlns="http://schemas.microsoft.com/ado/2007/08/dataservices/metadata"> <code></code> <message xml:lang="en-US">An error occurred while processing this request.</message> <innererror xmlns="xmlns"> <message>A single resource was expected for the result, but multiple resources were found.</message> <type>System.InvalidOperationException</type> <stacktrace> at System.Data.Services.Serializers.Serializer.WriteRequest(IEnumerator queryResults, Boolean hasMoved)&#xD; at System.Data.Services.ResponseBodyWriter.Write(Stream stream)</stacktrace> </innererror> </error> A I missing something??? Where does this error come from?

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• Data Warehouse ETL slow - change primary key in dimension?

  - by Jubbles

  I have a working MySQL data warehouse that is organized as a star schema and I am using Talend Open Studio for Data Integration 5.1 to create the ETL process. I would like this process to run once per day. I have estimated that one of the dimension tables (dimUser) will have approximately 2 million records and 23 columns. I created a small test ETL process in Talend that worked, but given the amount of data that may need to be updated daily, the current performance will not cut it. It takes the ETL process four minutes to UPDATE or INSERT 100 records to dimUser. If I assumed a linear relationship between the count of records and the amount of time to UPDATE or INSERT, then there is no way the ETL can finish in 3-4 hours (my hope), let alone one day. Since I'm unfamiliar with Java, I wrote the ETL as a Python script and ran into the same problem. Although, I did discover that if I did only INSERT, the process went much faster. I am pretty sure that the bottleneck is caused by the UPDATE statements. The primary key in dimUser is an auto-increment integer. My friend suggested that I scrap this primary key and replace it with a multi-field primary key (in my case, 2-3 fields). Before I rip the test data out of my warehouse and change the schema, can anyone provide suggestions or guidelines related to the design of the data warehouse the ETL process how realistic it is to have an ETL process INSERT or UPDATE a few million records each day will my friend's suggestion significantly help If you need any further information, just let me know and I'll post it. UPDATE - additional information: mysql> describe dimUser; Field Type Null Key Default Extra user_key int(10) unsigned NO PRI NULL auto_increment id_A int(10) unsigned NO NULL id_B int(10) unsigned NO NULL field_4 tinyint(4) unsigned NO 0 field_5 varchar(50) YES NULL city varchar(50) YES NULL state varchar(2) YES NULL country varchar(50) YES NULL zip_code varchar(10) NO 99999 field_10 tinyint(1) NO 0 field_11 tinyint(1) NO 0 field_12 tinyint(1) NO 0 field_13 tinyint(1) NO 1 field_14 tinyint(1) NO 0 field_15 tinyint(1) NO 0 field_16 tinyint(1) NO 0 field_17 tinyint(1) NO 1 field_18 tinyint(1) NO 0 field_19 tinyint(1) NO 0 field_20 tinyint(1) NO 0 create_date datetime NO 2012-01-01 00:00:00 last_update datetime NO 2012-01-01 00:00:00 run_id int(10) unsigned NO 999 I used a surrogate key because I had read that it was good practice. Since, from a business perspective, I want to keep aware of potential fraudulent activity (say for 200 days a user is associated with state X and then the next day they are associated with state Y - they could have moved or their account could have been compromised), so that is why geographic data is kept. The field id_B may have a few distinct values of id_A associated with it, but I am interested in knowing distinct (id_A, id_B) tuples. In the context of this information, my friend suggested that something like (id_A, id_B, zip_code) be the primary key. For the large majority of daily ETL processes (80%), I only expect the following fields to be updated for existing records: field_10 - field_14, last_update, and run_id (this field is a foreign key to my etlLog table and is used for ETL auditing purposes).

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• Change Data Capture Webinar

  I am going to be doing a webinar with our friends at Attunity on Change Data Capture.  Attunity have a good story around this technology and you can use it in your SSIS loads to great effect. Join Attunity and Konesans/SQLIS for a Webinar on 17 September Space is limited. Reserve your Webinar seat now at: https://www1.gotomeeting.com/register/693735512 Want increased efficiency and real-time speed when conducting ETL loads? Need lower implementation costs while minimizing system impact? Learn how change data capture (CDC) technologies can reduce ETL load times. Allan Mitchell, Principal Consultant at Konesans and SQLServer MVP specialising in ETL, will explain CDC concepts and benefits and how CDC can dramatically reduce ETL load times. Ian Archibald, Pre-Sales Director EMEA for Attunity, will present and demonstrate Attunity's award-winning Oracle-CDC for SSIS, a fully-integrated SSIS solution for designing, deploying and managing Oracle CDC processes. Title: Change Data Capture - Reducing ETL Load Times Date: Thursday, September 17, 2009 Time: 10:00 AM - 11:00 AM BST ABOUT THE SPEAKERS: Allan Mitchell is the joint owner of Konesans Ltd, a UK based consultancy specializing in SQL Server, and most importantly SQL Server Integration Services. Having been working with SQL Server from 6.5 onwards, he has extensive experience in many aspects of SQL Server, but now focuses on the BI suite of tools. He is a SQL Server MVP, a frequent poster on the MS SSIS/DTS newsgroups, and runs the sqldts.com and sqlis.com resource sites. Ian Archibald, Attunity Pre-Sales Director EMEA, has worked in Attunity’s UK Office for 17 years. An expert in Attunity solutions, Ian has extensive knowledge of Attunity’s products and data integration & CDC technologies. After registering you will receive a confirmation email containing information about joining the Webinar. System Requirements PC-based attendees Required: Windows® 2000, XP Home, XP Pro, 2003 Server, Vista Macintosh®-based attendees Required: Mac OS® X 10.4 (Tiger®) or newer

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• Change Data Capture Webinar

  I am going to be doing a webinar with our friends at Attunity on Change Data Capture.  Attunity have a good story around this technology and you can use it in your SSIS loads to great effect. Join Attunity and Konesans/SQLIS for a Webinar on 17 September Space is limited. Reserve your Webinar seat now at: https://www1.gotomeeting.com/register/693735512 Want increased efficiency and real-time speed when conducting ETL loads? Need lower implementation costs while minimizing system impact? Learn how change data capture (CDC) technologies can reduce ETL load times. Allan Mitchell, Principal Consultant at Konesans and SQLServer MVP specialising in ETL, will explain CDC concepts and benefits and how CDC can dramatically reduce ETL load times. Ian Archibald, Pre-Sales Director EMEA for Attunity, will present and demonstrate Attunity's award-winning Oracle-CDC for SSIS, a fully-integrated SSIS solution for designing, deploying and managing Oracle CDC processes. Title: Change Data Capture - Reducing ETL Load Times Date: Thursday, September 17, 2009 Time: 10:00 AM - 11:00 AM BST ABOUT THE SPEAKERS: Allan Mitchell is the joint owner of Konesans Ltd, a UK based consultancy specializing in SQL Server, and most importantly SQL Server Integration Services. Having been working with SQL Server from 6.5 onwards, he has extensive experience in many aspects of SQL Server, but now focuses on the BI suite of tools. He is a SQL Server MVP, a frequent poster on the MS SSIS/DTS newsgroups, and runs the sqldts.com and sqlis.com resource sites. Ian Archibald, Attunity Pre-Sales Director EMEA, has worked in Attunity’s UK Office for 17 years. An expert in Attunity solutions, Ian has extensive knowledge of Attunity’s products and data integration & CDC technologies. After registering you will receive a confirmation email containing information about joining the Webinar. System Requirements PC-based attendees Required: Windows® 2000, XP Home, XP Pro, 2003 Server, Vista Macintosh®-based attendees Required: Mac OS® X 10.4 (Tiger®) or newer

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• Do you need all that data?

  - by BuckWoody

  I read an amazing post over on ars technica (link: http://arstechnica.com/science/news/2010/03/the-software-brains-behind-the-particle-colliders.ars?utm_source=rss&utm_medium=rss&utm_campaign=rss) abvout the LHC, or as they are also known, the "particle colliders". Beyond just the pure scientific geek awesomeness, these instruments have the potential to collect more data than you can (or possibly should) store. Actually, this problem has a lot in common with a BI system. There's so much granular detail available in the source systems that a designer has to decide how, and how much, to roll up the data. Whenver you do that, you lose fidelity, but in many cases that's OK. Take, for example, your car's speedometer. You don't actually need to track each and every point of speed as it happens. You only need to know that you're hovering around the speed limit at a certain point in time. Since this is the way that humans percieve data, is there some lesson we should take in the design of data "flows" - and what implications does this have for new technologies like StreamInsight? Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• Accessing Server-Side Data from Client Script: Accessing JSON Data From an ASP.NET Page Using jQuery

  When building a web application, we must decide how and when the browser will communicate with the web server. The ASP.NET WebForms model greatly simplifies web development by providing a straightforward mechanism for exchanging data between the browser and the server. With WebForms, each ASP.NET page's rendered output includes a <form> element that performs a postback to the same page whenever a Button control within the form is clicked, or whenever the user modifies a control whose AutoPostBack property is set to True. On postback, the server sends the entire contents of the web page back to the browser, which then displays this new content. With WebForms we don't need to spend much time or effort thinking about how or when the browser will communicate with the server or how that returned information will be processed by the browser. It just works. While this approach certainly works and has its advantages, it's not without its drawbacks. The primary concern with postback forms is that they require a large amount of information to be exchanged between the browser and the server. Specifically, the browser sends back all of its form fields (including hidden ones, like view state, which may be quite large) and then the server sends back the entire contents of the web page. Granted, there are scenarios where this large quantity of data needs to be exchanged, but in many cases we can use techniques that exchange much less information. However, these techniques necessitate spending more time and effort thinking about how and when to have the browser communicate with the server and intelligently deciding on what information needs to be exchanged. This article, the first in a multi-part series, examines different techniques for accessing server-side data from a browser using client-side script. Throughout this series we will explore alternative ways to expose data on the server so that it can be accessed from the browser using script; we will also examine various tools for communicating with the server from JavaScript, including jQuery and the ASP.NET AJAX library. Read on to learn more! Read More >

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• SQL SERVER – Standards Support, Protocol, Data Portability – 3 Important SQL Server Documentations for Downloads

  - by pinaldave

  I have been working with SQL Server for more than 8 years now continuously and I like to read a lot. Some time I read easy things and sometime I read stuff which are not so easy.  Here are few recently released article which I referred and read. They are not easy read but indeed very important read if you are the one who like to read things which are more advanced. SQL Server Standards Support Documentation The SQL Server standards support documentation provides detailed support information for certain standards that are implemented in Microsoft SQL Server. Microsoft SQL Server Protocol Documentation The Microsoft SQL Server protocol documentation provides technical specifications for Microsoft proprietary protocols that are implemented and used in Microsoft SQL Server 2008. Microsoft SQL Server Data Portability Documentation The SQL Server data portability documentation explains various mechanisms by which user-created data in SQL Server can be extracted for use in other software products. These mechanisms include import/export functionality, documented APIs, industry standard formats, or documented data structures/file formats. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• WebCenter .NET Accelerator - Microsoft SharePoint Data via WSRP

  - by john.brunswick

  Platforms in the enterprise will never be homogeneous. As much as any vendor would enjoy having their single development or application technology be exclusively adopted by customers, too much legacy, time, education, innovation and vertical business needs exist to make using a single platform practical. JAVA and .NET are the two industry application platform heavyweights and more often than not, business users are leveraging various systems in their day to day activities that incorporate applications developed on top of both platforms. BEA Systems acquired Plumtree Software to complete their "liquid" view of data, stressing that regardless of a particular source system heterogeneous data could interoperate at not only through layers that allowed for data aggregation, but also at the "glass" or UI layer. The technical components that allowed the integration at the glass thrive today at Oracle, helping WebCenter to provide a rich composite application framework. Oracle Ensemble and the Oracle .NET Application Accelerator allow WebCenter to consume and interact with the UI layers provided by .NET applications and a series of other technologies. The beauty of the .NET accelerator is that it can consume any .NET application and act as a Web Services for Remote Portlets (WSRP) producer. I recently had a chance to leverage the .NET accelerator to expose a ASP .NET 2.0 (C#) application in the WebCenter UI (pictured above) and wanted to share a few tips to help others get started with similar integrations. I was using two virtual machines for the exercise - one with Windows Server 2003, running SharePoint and the other running WebCenter Spaces 11g. For my sample application data I ended up using SharePoint 2007 lists and calendars (MOSS 2007) to supply results using a .NET API for SharePoint.

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• Filtering a Grid of Data in ASP.NET MVC

  This article is the fourth installment in an ongoing series on displaying a grid of data in an ASP.NET MVC application. The previous two articles in this series - Sorting a Grid of Data in ASP.NET MVC and Displaying a Paged Grid of Data in ASP.NET MVC - showed how to sort and page data in a grid. This article explores how to present a filtering interface to the user and then only show those records that conform to the filtering criteria. In particular, the demo we examine in this installment presents an interface with three filtering criteria: the category, minimum price, and whether to omit discontinued products. Using this interface the user can apply one or more of these criteria, allowing a variety of filtered displays. For example, the user could opt to view: all products in the Condiments category; those products in the Confections category that cost $50.00 or more; all products that cost $25.00 or more and are not discontinued; or any other such combination. Like with its predecessors, this article offers step-by-step instructions and includes a complete, working demo available for download at the end of the article. Read on to learn more! Read More >

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• Convert ddply {plyr} to Oracle R Enterprise, or use with Embedded R Execution

  - by Mark Hornick

  The plyr package contains a set of tools for partitioning a problem into smaller sub-problems that can be more easily processed. One function within {plyr} is ddply, which allows you to specify subsets of a data.frame and then apply a function to each subset. The result is gathered into a single data.frame. Such a capability is very convenient. The function ddply also has a parallel option that if TRUE, will apply the function in parallel, using the backend provided by foreach. This type of functionality is available through Oracle R Enterprise using the ore.groupApply function. In this blog post, we show a few examples from Sean Anderson's "A quick introduction to plyr" to illustrate the correpsonding functionality using ore.groupApply. To get started, we'll create a demo data set and load the plyr package. set.seed(1) d <- data.frame(year = rep(2000:2014, each = 3),         count = round(runif(45, 0, 20))) dim(d) library(plyr) This first example takes the data frame, partitions it by year, and calculates the coefficient of variation of the count, returning a data frame. # Example 1 res <- ddply(d, "year", function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(cv.count = cv)   }) To illustrate the equivalent functionality in Oracle R Enterprise, using embedded R execution, we use the ore.groupApply function on the same data, but pushed to the database, creating an ore.frame. The function ore.push creates a temporary table in the database, returning a proxy object, the ore.frame. D <- ore.push(d) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(year=x$year[1], cv.count = cv)   }, FUN.VALUE=data.frame(year=1, cv.count=1)) You'll notice the similarities in the first three arguments. With ore.groupApply, we augment the function to return the specific data.frame we want. We also specify the argument FUN.VALUE, which describes the resulting data.frame. From our previous blog posts, you may recall that by default, ore.groupApply returns an ore.list containing the results of each function invocation. To get a data.frame, we specify the structure of the result. The results in both cases are the same, however the ore.groupApply result is an ore.frame. In this case the data stays in the database until it's actually required. This can result in significant memory and time savings whe data is large. R> class(res) [1] "ore.frame" attr(,"package") [1] "OREbase" R> head(res)    year cv.count 1 2000 0.3984848 2 2001 0.6062178 3 2002 0.2309401 4 2003 0.5773503 5 2004 0.3069680 6 2005 0.3431743 To make the ore.groupApply execute in parallel, you can specify the argument parallel with either TRUE, to use default database parallelism, or to a specific number, which serves as a hint to the database as to how many parallel R engines should be used. The next ddply example uses the summarise function, which creates a new data.frame. In ore.groupApply, the year column is passed in with the data. Since no automatic creation of columns takes place, we explicitly set the year column in the data.frame result to the value of the first row, since all rows received by the function have the same year. # Example 2 ddply(d, "year", summarise, mean.count = mean(count)) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   data.frame(year=x$year[1], mean.count = mean.count)   }, FUN.VALUE=data.frame(year=1, mean.count=1)) R> head(res)    year mean.count 1 2000 7.666667 2 2001 13.333333 3 2002 15.000000 4 2003 3.000000 5 2004 12.333333 6 2005 14.666667 Example 3 uses the transform function with ddply, which modifies the existing data.frame. With ore.groupApply, we again construct the data.frame explicilty, which is returned as an ore.frame. # Example 3 ddply(d, "year", transform, total.count = sum(count)) res <- ore.groupApply (D, D$year, function(x) {   total.count <- sum(x$count)   data.frame(year=x$year[1], count=x$count, total.count = total.count)   }, FUN.VALUE=data.frame(year=1, count=1, total.count=1)) > head(res)    year count total.count 1 2000 5 23 2 2000 7 23 3 2000 11 23 4 2001 18 40 5 2001 4 40 6 2001 18 40 In Example 4, the mutate function with ddply enables you to define new columns that build on columns just defined. Since the construction of the data.frame using ore.groupApply is explicit, you always have complete control over when and how to use columns. # Example 4 ddply(d, "year", mutate, mu = mean(count), sigma = sd(count),       cv = sigma/mu) res <- ore.groupApply (D, D$year, function(x) {   mu <- mean(x$count)   sigma <- sd(x$count)   cv <- sigma/mu   data.frame(year=x$year[1], count=x$count, mu=mu, sigma=sigma, cv=cv)   }, FUN.VALUE=data.frame(year=1, count=1, mu=1,sigma=1,cv=1)) R> head(res)    year count mu sigma cv 1 2000 5 7.666667 3.055050 0.3984848 2 2000 7 7.666667 3.055050 0.3984848 3 2000 11 7.666667 3.055050 0.3984848 4 2001 18 13.333333 8.082904 0.6062178 5 2001 4 13.333333 8.082904 0.6062178 6 2001 18 13.333333 8.082904 0.6062178 In Example 5, ddply is used to partition data on multiple columns before constructing the result. Realizing this with ore.groupApply involves creating an index column out of the concatenation of the columns used for partitioning. This example also allows us to illustrate using the ORE transparency layer to subset the data. # Example 5 baseball.dat <- subset(baseball, year > 2000) # data from the plyr package x <- ddply(baseball.dat, c("year", "team"), summarize,            homeruns = sum(hr)) We first push the data set to the database to get an ore.frame. We then add the composite column and perform the subset, using the transparency layer. Since the results from database execution are unordered, we will explicitly sort these results and view the first 6 rows. BB.DAT <- ore.push(baseball) BB.DAT$index <- with(BB.DAT, paste(year, team, sep="+")) BB.DAT2 <- subset(BB.DAT, year > 2000) X <- ore.groupApply (BB.DAT2, BB.DAT2$index, function(x) {   data.frame(year=x$year[1], team=x$team[1], homeruns=sum(x$hr))   }, FUN.VALUE=data.frame(year=1, team="A", homeruns=1), parallel=FALSE) res <- ore.sort(X, by=c("year","team")) R> head(res)    year team homeruns 1 2001 ANA 4 2 2001 ARI 155 3 2001 ATL 63 4 2001 BAL 58 5 2001 BOS 77 6 2001 CHA 63 Our next example is derived from the ggplot function documentation. This illustrates the use of ddply within using the ggplot2 package. We first create a data.frame with demo data and use ddply to create some statistics for each group (gp). We then use ggplot to produce the graph. We can take this same code, push the data.frame df to the database and invoke this on the database server. The graph will be returned to the client window, as depicted below. # Example 6 with ggplot2 library(ggplot2) df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),                  y = rnorm(30)) # Compute sample mean and standard deviation in each group library(plyr) ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) # Set up a skeleton ggplot object and add layers: ggplot() +   geom_point(data = df, aes(x = gp, y = y)) +   geom_point(data = ds, aes(x = gp, y = mean),              colour = 'red', size = 3) +   geom_errorbar(data = ds, aes(x = gp, y = mean,                                ymin = mean - sd, ymax = mean + sd),              colour = 'red', width = 0.4) DF <- ore.push(df) ore.tableApply(DF, function(df) {   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4) }) But let's take this one step further. Suppose we wanted to produce multiple graphs, partitioned on some index column. We replicate the data three times and add some noise to the y values, just to make the graphs a little different. We also create an index column to form our three partitions. Note that we've also specified that this should be executed in parallel, allowing Oracle Database to control and manage the server-side R engines. The result of ore.groupApply is an ore.list that contains the three graphs. Each graph can be viewed by printing the list element. df2 <- rbind(df,df,df) df2$y <- df2$y + rnorm(nrow(df2)) df2$index <- c(rep(1,300), rep(2,300), rep(3,300)) DF2 <- ore.push(df2) res <- ore.groupApply(DF2, DF2$index, function(df) {   df <- df[,1:2]   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4)   }, parallel=TRUE) res[[1]] res[[2]] res[[3]] To recap, we've illustrated how various uses of ddply from the plyr package can be realized in ore.groupApply, which affords the user explicit control over the contents of the data.frame result in a straightforward manner. We've also highlighted how ddply can be used within an ore.groupApply call.

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• Remote Data connection in iphone app

  - by Tariq- iPHONE Programmer

  Hello, i am working with Social Networking iphone app which require remote data connection. So i hired a php developer in order to provide me RESTful services. But when i start working with him, he arguing me that he will not make stored procedures and web services. Instead of he suggested me to pass query as a parameter. Suppose If I have to call Search service, he told me to send POST request with 3 parameters: Query="select * from users", username=abd and password = 123 And i thing there is no such architecture in order to use remote data. Then he is saying it is possible through socket programming. And I am 100% sure this is not an appropriate way to access remote data. This is simply illogical. Thousands of iphone application using REST/SOAP services to make remote data connection He just declined me to provide RESTful services. Please its my heartily advice to all developers that post your own views over here. So that I can show to that developers that these are the views from all developers worldwide.

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• LibGdx efficient data saving/loading?

  - by grimrader22

  Currently, my LibGDX game consists of a 512 x 512 map of Tiles and entities such as players and monsters. I am wondering how to efficiently save and load the data of my levels. At the moment I am using JSON serialization for each class I want to save. I implement the Json.Serializable interface for all of these classes and write only the variables that are necessary. So my map consists of 512 x 512 tiles, that's 260,000 tiles. Each tile on the map consists of a Tile object, which points to some final Tile object like a GRASS_TILE or a STONE_TILE. When I serialize each level tile, the final Tile that it points to is re-serialized over and over again, so if I have 100 Tiles all pointing to GRASS_TILE, the data of GRASS_TILE is written 100 times over. When I go to load/deserialize my objects, 100 GrassTile objects are created, but they are each their own object. They no longer point to the final tile object. I feel like this reading/writing files very slow. If I were to abandon JSON serialization, to my knowledge my next best option would be saving the level data to a sql database. Unless there is a way to speed up serializing/deserializing 260,000 tiles I may have to do this. Is this a good idea? Could I really write that many tiles to the database efficiently? To sum all this up, I am trying to save my levels using JSON serialization, but it is VERY slow. What other options do I have for saving the data of so many tiles. I also must note that the JSON serialization is not slow on a PC, it is only VERY slow on a mobile device. Since file writing/reading is so slow on mobile devices, what can I do?

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• MVVM - child windows and data contexts

  - by GlenH7

  Should a child window have it's own data context (View-Model) or use the data context of the parent? More broadly, should each View have its own View-Model? Are there are any rules to guide making that decision? What if the various View-Models will be accessing the same Model? I haven't been able to find any consistent guidance on my question. The MS definition of MVVM appears to be silent on child windows. For one example, I have created a warning message notification View. It really didn't need a data context since it was passed the message to display. But if I needed to fancy it up a bit, I would have tapped the parent's data context. I have run into another scenario that needs a child window and is more complicated than the notification box. The parent's View-Model is already getting cluttered, so I had planned on generating a dedicated VM for the child window. But I can't find any guidance on whether this is a good idea or what the potential consequences may be. FWIW, I happen to be working in Silverlight, but I don't know that this question is strictly a Silverlight issue.

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• Organising data access for dependency injection

  - by IanAWP

  In our company we have a relatively long history of database backed applications, but have only just begun experimenting with dependency injection. I am looking for advice about how to convert our existing data access pattern into one more suited for dependency injection. Some specific questions: Do you create one access object per table (Given that a table represents an entity collection)? One interface per table? All of these would need the low level Data Access object to be injected, right? What about if there are dozens of tables, wouldn't that make the composition root into a nightmare? Would you instead have a single interface that defines things like GetCustomer(), GetOrder(), etc? If I took the example of EntityFramework, then I would have one Container that exposes an object for each table, but that container doesn't conform to any interface itself, so doesn't seem like it's compatible with DI. What we do now, in case it helps: The way we normally manage data access is through a generic data layer which exposes CRUD/Transaction capabilities and has provider specific subclasses which handle the creation of IDbConnection, IDbCommand, etc. Actual table access uses Table classes that perform the CRUD operations associated with a particular table and accept/return domain objects that the rest of the system deals with. These table classes expose only static methods, and utilise a static DataAccess singleton instantiated from a config file.

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• The Oracle MDM Portfolio & Strategy Session - It All Comes Down to Master Data

  - by Mala Narasimharajan

   By Narayana Machiraju We are less than a week now from the start of Oracle Open World 2012 and I would like to introduce you all to one of the most awaited MDM strategy sessions this year titled “What’s there to Know about Oracle’s Master Data Management Portfolio and Roadmap?”. Manouj Tahiliani, Senior Director of MDM Product Strategy provides you a complete picture of the Oracle MDM Portfolio, the Product releases, the Strategy and the Roadmaps. Manoj will be discussing Oracle Fusion MDM applications, the first enterprise-grade SaaS MDM product suite. You’ll hear strategies for leveraging MDM and data quality in the enterprise and how you can derive business value by deploying an MDM foundation for strategic initiatives such as customer experience management, product innovation, and financial transformation. And as a bonus, he is also going to discuss the confluence of MDM with emerging technologies such as big data, social, and mobile. The session is co-presented by GEHC and Westpac. Tony Craddock from Westpac is going to share the insights of their MDM Implementation in the lines of Business drivers, data governance, ROI and other important implementation considerations. A reprsentative from GEHC is going to talk about their MDM journey and the multi-domain MDM story. I strongly recommend yo not miss this important session The MDM track at Oracle Open World covers variety of topics related to MDM. In addition to the product management team presenting product updates and roadmap, we have several Customer Panels, Conference sessions and Customer round table sessions featuring a lot of marquee Customers. You can see an overview of MDM sessions here. 

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• Sorting a Grid of Data in ASP.NET MVC

  Last week's article, Displaying a Grid of Data in ASP.NET MVC, showed, step-by-step, how to display a grid of data in an ASP.NET MVC application. Last week's article started with creating a new ASP.NET MVC application in Visual Studio, then added the Northwind database to the project and showed how to use Microsoft's Linq-to-SQL tool to access data from the database. The article then looked at creating a Controller and View for displaying a list of product information (the Model). This article builds on the demo application created in Displaying a Grid of Data in ASP.NET MVC, enhancing the grid to include bi-directional sorting. If you come from an ASP.NET WebForms background, you know that the GridView control makes implementing sorting as easy as ticking a checkbox. Unfortunately, implementing sorting in ASP.NET MVC involves a bit more work than simply checking a checkbox, but the quantity of work isn't significantly greater and with ASP.NET MVC we have more control over the grid and sorting interface's layout and markup, as well as the mechanism through which sorting is implemented. With the GridView control, sorting is handled through form postbacks with the sorting parameters - what column to sort by and whether to sort in ascending or descending order - being submitted as hidden form fields. In this article we'll use querystring parameters to indicate the sorting parameters, which means a particular sort order can be indexed by search engines, bookmarked, emailed to a colleague, and so on - things that are not possible with the GridView's built-in sorting capabilities. Like with its predecessor, this article offers step-by-step instructions and includes a complete, working demo available for download at the end of the article. Read on to learn more! Read More >

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• SQLAuthority News – Download Whitepaper – Power View Infrastructure Configuration and Installation: Step-by-Step and Scripts

  - by pinaldave

  Power View, a feature of SQL Server 2012 Reporting Services Add-in for Microsoft SharePoint Server 2010 Enterprise Edition, is an interactive data exploration, visualization, and presentation experience. It provides intuitive ad-hoc reporting for business users such as data analysts, business decision makers, and information workers. Microsoft has recently released very interesting whitepaper which covers a sample scenario that validates the connectivity of the Power View reports to both PowerPivot workbooks and tabular models. This white paper talks about following important concepts about Power View: Understanding the hardware and software requirements and their download locations Installing and configuring the required infrastructure when Power View and its data models are on the same computer and on different computer Installing and configuring a computer used for client access to Power View reports, models, Sharepoint 2012 and Power View in a workgroup Configuring single sign-on access for double-hop scenarios with and without Kerberos You can download the whitepaper from here. This whitepaper talks about many interesting scenarios. It would be really interesting to know if you are using Power View in your production environment. If yes, would you please share your experience over here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Business Intelligence, Data Warehousing, PostADay, SQL, SQL Authority, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, T SQL, Technology

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• Data Pump: Consistent Export?

  - by Mike Dietrich

  Ouch ... I have to admit as I did say in several workshops in the past weeks that a data pump export with expdp is per se consistent. Well ... I thought it is ... but it's not. Thanks to a customer who is doing a large unicode migration at the moment. We were discussing parameters in the expdp's par file. And I did ask my colleagues after doing some research on MOS. And here are the results of my "research": MOS Note 377218.1 has a nice example showing a data pump export of a partitioned table with DELETEs on that table as inconsistent Background:Back in the old 9i days when Data Pump was designed flashback technology wasn't as popular and well known as today - and UNDO usage was the major concern as a consistent per default export would have heavily relied on UNDO. That's why - similar to good ol' exp - the export won't operate per default in consistency mode To get a consistent data pump export with expdp you'll have to set: FLASHBACK_TIME=SYSTIMESTAMPin your parameter file. Then it will be consistent according to the timestamp when the process has been started. You could use FLASHBACK_SCN instead and determine the SCN beforehand if you'd like to be exact. So sorry if I had proclaimed a feature which unfortunately is not there by default - Mike

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• Flashback Data Archives: Ein gutes Gedächtnis für DBA und Entwickler

  - by Heinz-Wilhelm Fabry (DBA Community)

  Daten werden gespeichert und zum Teil lange aufbewahrt. Mitunter werden Daten nach ihrer ersten Speicherung geändert, vielleicht sogar mehrfach. Je nach gesetzlicher oder betrieblicher Vorgabe müssen die Veränderungen sogar nachverfolgbar sein. Damit sind zugleich Mechanismen gefordert, die sicherstellen, dass die Folge der Versionen lückenlos ist. Und implizit bedeutet das zusätzlich, dass die Versionen auch vor Löschen und Verändern geschützt sein müssen. Das Versionieren kann über die Anwendung, mit der die Daten auch erfasst werden, erfolgen, über Trigger oder über besondere Werkzeuge. Jede dieser Lösungen hat ihre eigenen Schwächen. Zusätzlich steht die Frage nach dem Schutz vor unerlaubtem Löschen oder Ändern versionierter Daten im Raum. Flashback Data Archives lösen diese Frage, denn sie bieten nicht nur einen wirksamen Mechanismus zum Versionieren von Datensätzen, sondern sie schützen diese Versionen auch vor Veränderung und löschen sie schließlich sogar automatisch nach Ablauf ihrer Aufbewahrungsfrist.Ursprünglich wurden die Archive als eigenständige Option zur Enterprise Edition der Oracle Database 11g unter dem Namen Total Recall eingeführt. Ende Juni 2012 verloren die Flashback Data Archives ihren Status als eigenständige Option. Weil die Archive aber grundsätzlich komprimiert wurden, hat Oracle sie stattdessen zu einem Feature der Advanced Compression Option der Enterprise Edition (ACO) gemacht. Seit der Version 11.2.0.4 der Datenbank ist das Komprimieren aber für die Archive nicht mehr zwangsläufig, sondern optional. Damit gibt es lizenzrechtlich erneut eine Änderung: Wer die Kompression verwendet, der muss nach wie vor ACO lizensieren. Wer die Flashback Data Archives dagegen ohne Kompression verwendet - also zum Beispiel Entwickler -, dem stehen sie ab 11.2.0.4 aufwärts im Lieferumfang aller Editionen der Datenbank zur Verfügung. Diese Änderung ist in den Handbüchern zur Lizensierung der Versionen 11.2 und 12.1 der Datenbank dokumentiert. Im Rahmen der DBA Community ist bereits über die Flashback Data Archives berichtet worden. Der hier vorliegende Artikel ersetzt alle vorangegangenen Beiträge zum Thema.

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• Updating an ADF Web Service Data Control When Service Structure or Location Change

  - by Shay Shmeltzer

  The web service data control in Oracle ADF gives you a simplified approach to consuming services in ADF applications, and now with ADF Mobile the usage of this service seems to be growing. A frequent question we get is what happens if the service that I'm consuming changes - how do I update my data control? Well, first we should mention that if you do a good design of your application before you actually code - then things like Web service method signature shouldn't change. The signature is the contract between the publisher and the consumer, and contracts shouldn't be broken. But in reality things do change during development stages, so here is how you can update both method signatures and service location with the Web service data control: After watching this video you might be tempted to not copy the WSDLs to your project - which lets you use the right click update on a data control. However there is a reason why the copy is on by default, it reduces network traffic when you are actually running your application since ADF doesn't need to go to the server to find out the service structure. So for runtime performance, you probably should keep the WSDL local.  I encourage you to further look into both the connections.xml file where your service location is saved, and the datacontrols.dcx file where its definition is kept to get an even deeper understanding of how ADF works underneath the declarative layers.

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• Hack a Linksys Router into a Ambient Data Monitor

  - by Jason Fitzpatrick

  If you have a data source (like a weather report, bus schedule, or other changing data set) you can pull it and display it with an ambient data monitor; this fun build combines a hacked Linksys router and a modified toy bus to display transit arrival times. John Graham-Cumming wanted to keep an eye on the current bus arrival time tables without constantly visiting the web site to check them. His workaround turns a hacked Linksys router, a display, a modified London city bus (you could hack apart a more project-specific enclosure, of course), and a simple bit code that polls the bus schedule’s API, into a cool ambient data monitor that displays the arrival time, in minutes, of the next two buses that will pass by his stop. The whole thing could easily be adapted to another API to display anything from stock prices to weather temps. Hit up the link below for more information on the project. Ambient Bus Arrival Monitor Hacked from Linksys Router [via Make] Make Your Own Windows 8 Start Button with Zero Memory Usage Reader Request: How To Repair Blurry Photos HTG Explains: What Can You Find in an Email Header?

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