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  • why installing lame it is getting failed

    - by Rahul Mehta
    I want to install ffmpeg with mp3lame enabled for this m following this tutorial , http://ubuntuforums.org/showpost.php?p=9868359&postcount=1289 and in step 2 error is libfaac is not found ? and in step 5 installing lame is giving this error , why it is getting failed , please advised what to do ? reach121@youngib:~/lame-3.98.4$ sudo checkinstall --pkgname=lame-ffmpeg --pkgversion="3.98.4" --backup=no --default --deldoc=yes checkinstall 1.6.2, Copyright 2009 Felipe Eduardo Sanchez Diaz Duran This software is released under the GNU GPL. ***************************************** **** Debian package creation selected *** ***************************************** This package will be built according to these values: 0 - Maintainer: [ root@youngib ] 1 - Summary: [ Package created with checkinstall 1.6.2 ] 2 - Name: [ lame-ffmpeg ] 3 - Version: [ 3.98.4 ] 4 - Release: [ 1 ] 5 - License: [ GPL ] 6 - Group: [ checkinstall ] 7 - Architecture: [ amd64 ] 8 - Source location: [ lame-3.98.4 ] 9 - Alternate source location: [ ] 10 - Requires: [ ] 11 - Provides: [ lame-ffmpeg ] 12 - Conflicts: [ ] 13 - Replaces: [ ] Enter a number to change any of them or press ENTER to continue: Installing with make install... ========================= Installation results =========================== Making install in mpglib make[1]: Entering directory `/home/reach121/lame-3.98.4/mpglib' make[2]: Entering directory `/home/reach121/lame-3.98.4/mpglib' make[2]: Nothing to be done for `install-exec-am'. make[2]: Nothing to be done for `install-data-am'. make[2]: Leaving directory `/home/reach121/lame-3.98.4/mpglib' make[1]: Leaving directory `/home/reach121/lame-3.98.4/mpglib' Making install in libmp3lame make[1]: Entering directory `/home/reach121/lame-3.98.4/libmp3lame' Making install in i386 make[2]: Entering directory `/home/reach121/lame-3.98.4/libmp3lame/i386' make[3]: Entering directory `/home/reach121/lame-3.98.4/libmp3lame/i386' make[3]: Nothing to be done for `install-exec-am'. make[3]: Nothing to be done for `install-data-am'. make[3]: Leaving directory `/home/reach121/lame-3.98.4/libmp3lame/i386' make[2]: Leaving directory `/home/reach121/lame-3.98.4/libmp3lame/i386' Making install in vector make[2]: Entering directory `/home/reach121/lame-3.98.4/libmp3lame/vector' make[3]: Entering directory `/home/reach121/lame-3.98.4/libmp3lame/vector' make[3]: Nothing to be done for `install-exec-am'. make[3]: Nothing to be done for `install-data-am'. make[3]: Leaving directory `/home/reach121/lame-3.98.4/libmp3lame/vector' make[2]: Leaving directory `/home/reach121/lame-3.98.4/libmp3lame/vector' make[2]: Entering directory `/home/reach121/lame-3.98.4/libmp3lame' make[3]: Entering directory `/home/reach121/lame-3.98.4/libmp3lame' test -z "/usr/local/lib" || /bin/mkdir -p "/usr/local/lib" /bin/bash ../libtool --mode=install /usr/bin/install -c 'libmp3lame.la' '/usr/local/lib/libmp3lame.la' /usr/bin/install -c .libs/libmp3lame.lai /usr/local/lib/libmp3lame.la /usr/bin/install -c .libs/libmp3lame.a /usr/local/lib/libmp3lame.a chmod 644 /usr/local/lib/libmp3lame.a ranlib /usr/local/lib/libmp3lame.a PATH="$PATH:/sbin" ldconfig -n /usr/local/lib ---------------------------------------------------------------------- Libraries have been installed in: /usr/local/lib If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,--rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- make[3]: Nothing to be done for `install-data-am'. make[3]: Leaving directory `/home/reach121/lame-3.98.4/libmp3lame' make[2]: Leaving directory `/home/reach121/lame-3.98.4/libmp3lame' make[1]: Leaving directory `/home/reach121/lame-3.98.4/libmp3lame' Making install in frontend make[1]: Entering directory `/home/reach121/lame-3.98.4/frontend' make[2]: Entering directory `/home/reach121/lame-3.98.4/frontend' test -z "/usr/local/bin" || /bin/mkdir -p "/usr/local/bin" /bin/bash ../libtool --mode=install /usr/bin/install -c 'lame' '/usr/local/bin/lame' /usr/bin/install -c lame /usr/local/bin/lame make[2]: Nothing to be done for `install-data-am'. make[2]: Leaving directory `/home/reach121/lame-3.98.4/frontend' make[1]: Leaving directory `/home/reach121/lame-3.98.4/frontend' Making install in Dll make[1]: Entering directory `/home/reach121/lame-3.98.4/Dll' make[2]: Entering directory `/home/reach121/lame-3.98.4/Dll' make[2]: Nothing to be done for `install-exec-am'. make[2]: Nothing to be done for `install-data-am'. make[2]: Leaving directory `/home/reach121/lame-3.98.4/Dll' make[1]: Leaving directory `/home/reach121/lame-3.98.4/Dll' Making install in debian make[1]: Entering directory `/home/reach121/lame-3.98.4/debian' make[2]: Entering directory `/home/reach121/lame-3.98.4/debian' make[2]: Nothing to be done for `install-exec-am'. make[2]: Nothing to be done for `install-data-am'. make[2]: Leaving directory `/home/reach121/lame-3.98.4/debian' make[1]: Leaving directory `/home/reach121/lame-3.98.4/debian' Making install in doc make[1]: Entering directory `/home/reach121/lame-3.98.4/doc' Making install in html make[2]: Entering directory `/home/reach121/lame-3.98.4/doc/html' make[3]: Entering directory `/home/reach121/lame-3.98.4/doc/html' make[3]: Nothing to be done for `install-exec-am'. test -z "/usr/local/share/doc/lame/html" || /bin/mkdir -p "/usr/local/share/doc/lame/html" /bin/mkdir: cannot create directory `/usr/local/share/doc': No such file or directory make[3]: *** [install-pkghtmlDATA] Error 1 make[3]: Leaving directory `/home/reach121/lame-3.98.4/doc/html' make[2]: *** [install-am] Error 2 make[2]: Leaving directory `/home/reach121/lame-3.98.4/doc/html' make[1]: *** [install-recursive] Error 1 make[1]: Leaving directory `/home/reach121/lame-3.98.4/doc' make: *** [install-recursive] Error 1 **** Installation failed. Aborting package creation. Cleaning up...OK Bye. reach121@youngib:~/lame-3.98.4$

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  • Integration Patterns with Azure Service Bus Relay, Part 2: Anonymous full-trust .NET consumer

    - by Elton Stoneman
    This is the second in the IPASBR series, see also: Integration Patterns with Azure Service Bus Relay, Part 1: Exposing the on-premise service Part 2 is nice and easy. From Part 1 we exposed our service over the Azure Service Bus Relay using the netTcpRelayBinding and verified we could set up our network to listen for relayed messages. Assuming we want to consume that service in .NET from an environment which is fairly unrestricted for us, but quite restricted for attackers, we can use netTcpRelay and shared secret authentication. Pattern applicability This is a good fit for scenarios where: the consumer can run .NET in full trust the environment does not restrict use of external DLLs the runtime environment is secure enough to keep shared secrets the service does not need to know who is consuming it the service does not need to know who the end-user is So for example, the consumer is an ASP.NET website sitting in a cloud VM or Azure worker role, where we can keep the shared secret in web.config and we don't need to flow any identity through to the on-premise service. The service doesn't care who the consumer or end-user is - say it's a reference data service that provides a list of vehicle manufacturers. Provided you can authenticate with ACS and have access to Service Bus endpoint, you can use the service and it doesn't care who you are. In this post, we’ll consume the service from Part 1 in ASP.NET using netTcpRelay. The code for Part 2 (+ Part 1) is on GitHub here: IPASBR Part 2 Authenticating and authorizing with ACS In this scenario the consumer is a server in a controlled environment, so we can use a shared secret to authenticate with ACS, assuming that there is governance around the environment and the codebase which will prevent the identity being compromised. From the provider's side, we will create a dedicated service identity for this consumer, so we can lock down their permissions. The provider controls the identity, so the consumer's rights can be revoked. We'll add a new service identity for the namespace in ACS , just as we did for the serviceProvider identity in Part 1. I've named the identity fullTrustConsumer. We then need to add a rule to map the incoming identity claim to an outgoing authorization claim that allows the identity to send messages to Service Bus (see Part 1 for a walkthrough creating Service Idenitities): Issuer: Access Control Service Input claim type: http://schemas.xmlsoap.org/ws/2005/05/identity/claims/nameidentifier Input claim value: fullTrustConsumer Output claim type: net.windows.servicebus.action Output claim value: Send This sets up a service identity which can send messages into Service Bus, but cannot register itself as a listener, or manage the namespace. Adding a Service Reference The Part 2 sample client code is ready to go, but if you want to replicate the steps, you’re going to add a WSDL reference, add a reference to Microsoft.ServiceBus and sort out the ServiceModel config. In Part 1 we exposed metadata for our service, so we can browse to the WSDL locally at: http://localhost/Sixeyed.Ipasbr.Services/FormatService.svc?wsdl If you add a Service Reference to that in a new project you'll get a confused config section with a customBinding, and a set of unrecognized policy assertions in the namespace http://schemas.microsoft.com/netservices/2009/05/servicebus/connect. If you NuGet the ASB package (“windowsazure.servicebus”) first and add the service reference - you'll get the same messy config. Either way, the WSDL should have downloaded and you should have the proxy code generated. You can delete the customBinding entries and copy your config from the service's web.config (this is already done in the sample project in Sixeyed.Ipasbr.NetTcpClient), specifying details for the client:     <client>       <endpoint address="sb://sixeyed-ipasbr.servicebus.windows.net/net"                 behaviorConfiguration="SharedSecret"                 binding="netTcpRelayBinding"                 contract="FormatService.IFormatService" />     </client>     <behaviors>       <endpointBehaviors>         <behavior name="SharedSecret">           <transportClientEndpointBehavior credentialType="SharedSecret">             <clientCredentials>               <sharedSecret issuerName="fullTrustConsumer"                             issuerSecret="E3feJSMuyGGXksJi2g2bRY5/Bpd2ll5Eb+1FgQrXIqo="/>             </clientCredentials>           </transportClientEndpointBehavior>         </behavior>       </endpointBehaviors>     </behaviors>   The proxy is straight WCF territory, and the same client can run against Azure Service Bus through any relay binding, or directly to the local network service using any WCF binding - the contract is exactly the same. The code is simple, standard WCF stuff: using (var client = new FormatService.FormatServiceClient()) { outputString = client.ReverseString(inputString); } Running the sample First, update Solution Items\AzureConnectionDetails.xml with your service bus namespace, and your service identity credentials for the netTcpClient and the provider:   <!-- ACS credentials for the full trust consumer (Part2): -->   <netTcpClient identityName="fullTrustConsumer"                 symmetricKey="E3feJSMuyGGXksJi2g2bRY5/Bpd2ll5Eb+1FgQrXIqo="/> Then rebuild the solution and verify the unit tests work. If they’re green, your service is listening through Azure. Check out the client by navigating to http://localhost:53835/Sixeyed.Ipasbr.NetTcpClient. Enter a string and hit Go! - your string will be reversed by your on-premise service, routed through Azure: Using shared secret client credentials in this way means ACS is the identity provider for your service, and the claim which allows Send access to Service Bus is consumed by Service Bus. None of the authentication details make it through to your service, so your service is not aware who the consumer is (MSDN calls this "anonymous authentication").

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  • OpenSSL Versions in Solaris

    - by darrenm
    Those of you have have installed Solaris 11 or have read some of the blogs by my colleagues will have noticed Solaris 11 includes OpenSSL 1.0.0, this is a different version to what we have in Solaris 10.  I hope the following explains why that is and how it fits with the expectations on binary compatibility between Solaris releases. Solaris 10 was the first release where we included OpenSSL libraries and headers (part of it was actually statically linked into the SSH client/server in Solaris 9).  At time we were building and releasing Solaris 10 the current train of OpenSSL was 0.9.7.  The OpenSSL libraries at that time were known to not always be completely API and ABI (binary) compatible between releases (some times even in the lettered patch releases) though mostly if you stuck with the documented high level APIs you would be fine.   For this reason OpenSSL was classified as a 'Volatile' interface and in Solaris 10 Volatile interfaces were not part of the default library search path which is why the OpenSSL libraries live in /usr/sfw/lib on Solaris 10.  Okay, but what does Volatile mean ? Quoting from the attributes(5) man page description of Volatile (which was called External in older taxonomy): Volatile interfaces can change at any time and for any reason. The Volatile interface stability level allows Sun pro- ducts to quickly track a fluid, rapidly evolving specif- ication. In many cases, this is preferred to providing additional stability to the interface, as it may better meet the expectations of the consumer. The most common application of this taxonomy level is to interfaces that are controlled by a body other than Sun, but unlike specifications controlled by standards bodies or Free or Open Source Software (FOSS) communities which value interface compatibility, it can not be asserted that an incompatible change to the interface specifica- tion would be exceedingly rare. It may also be applied to FOSS controlled software where it is deemed more important to track the community with minimal latency than to provide stability to our customers. It also common to apply the Volatile classification level to interfaces in the process of being defined by trusted or widely accepted organization. These are generically referred to as draft standards. An "IETF Internet draft" is a well understood example of a specification under development. Volatile can also be applied to experimental interfaces. No assertion is made regarding either source or binary compatibility of Volatile interfaces between any two releases, including patches. Applications containing these interfaces might fail to function properly in any future release. Note that last paragraph!  OpenSSL is only one example of the many interfaces in Solaris that are classified as Volatile.  At the other end of the scale we have Committed (Stable in Solaris 10 terminology) interfaces, these include things like the POSIX APIs or Solaris specific APIs that we have no intention of changing in an incompatible way.  There are also Private interfaces and things we declare as Not-an-Interface (eg command output not intended for scripting against only to be read by humans). Even if we had declared OpenSSL as a Committed/Stable interface in Solaris 10 there are allowed exceptions, again quoting from attributes(5): 4. An interface specification which isn't controlled by Sun has been changed incompatibly and the vast majority of interface consumers expect the newer interface. 5. Not making the incompatible change would be incomprehensible to our customers. In our opinion and that of our large and small customers keeping up with the OpenSSL community is important, and certainly both of the above cases apply. Our policy for dealing with OpenSSL on Solaris 10 was to stay at 0.9.7 and add fixes for security vulnerabilities (the version string includes the CVE numbers of fixed vulnerabilities relevant to that release train).  The last release of OpenSSL 0.9.7 delivered by the upstream community was more than 4 years ago in Feb 2007. Now lets roll forward to just before the release of Solaris 11 Express in 2010. By that point in time the current OpenSSL release was 0.9.8 with the 1.0.0 release known to be coming soon.  Two significant changes to OpenSSL were made between Solaris 10 and Solaris 11 Express.  First in Solaris 11 Express (and Solaris 11) we removed the requirement that Volatile libraries be placed in /usr/sfw/lib, that means OpenSSL is now in /usr/lib, secondly we upgraded it to the then current version stream of OpenSSL (0.9.8) as was expected by our customers. In between Solaris 11 Express in 2010 and the release of Solaris 11 in 2011 the OpenSSL community released version 1.0.0.  This was a huge milestone for a long standing and highly respected open source project.  It would have been highly negligent of Solaris not to include OpenSSL 1.0.0e in the Solaris 11 release. It is the latest best supported and best performing version.     In fact Solaris 11 isn't 'just' OpenSSL 1.0.0 but we have added our SPARC T4 engine and the AES-NI engine to support the on chip crypto acceleration. This gives us 4.3x better AES performance than OpenSSL 0.9.8 running on AIX on an IBM POWER7. We are now working with the OpenSSL community to determine how best to integrate the SPARC T4 changes into the mainline OpenSSL.  The OpenSSL 'pkcs11' engine we delivered in Solaris 10 to support the CA-6000 card and the SPARC T1/T2/T3 hardware is still included in Solaris 11. When OpenSSL 1.0.1 and 1.1.0 come out we will asses what is best for Solaris customers. It might be upgrade or it might be parallel delivery of more than one version stream.  At this time Solaris 11 still classifies OpenSSL as a Volatile interface, it is our hope that we will be able at some point in a future release to give it a higher interface stability level. Happy crypting! and thank-you OpenSSL community for all the work you have done that helps Solaris.

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  • MySql for Visual Studio 1.0.2 GA has been released

    - by fernando
    MySQL for Visual Studio is a new product including all of the Visual Studio integration previously available as part of Connector/Net.  The product is now released as GA and is appropriate for use in production environments.  It is compatible with MySQL Server versions 5.0-5.7 and Visual Studio versions 2008-2012.  It is now available as part of MySql Installer for Windows (http://dev.mysql.com/tech-resources/articles/mysql-installer-for-windows.html). The 1.0 version of MySQL for Visual Studio brings the following new features:   Workbench Launching.   MySql Utilities Launching.   Table Script Generation.   The functionality of the core libraries (ADO.NET, EF, ASP.NET providers is available as the separate download of Connector/NET 6.7). Features available from previous versions:        Server explorer connections     Design time support     Entity Framework designer (Database First & Model First)     Stored Routines Debugger     Intellisense     ASP.NET Website Configuration Tool Workbench Launching  ------------------------------------------- A context menu for connections in Server Explorer allows to launch Workbench (if Workbench is installed). MySql Utilities Launching  ------------------------------------------- A context menu for connections in Server Explorer allows to launch a prompt for MySql Utilities (if MySql Utilities is installed). Table Script Generation  ------------------------------------------- A context menu for tables is available in Server Explorer to generate the script for a table. The full list of bug fixes for "MySql for Visual Studio" 1.0 follows: 1.0.2 - Fix for Documentation not found (Oracle bug #6915712). - Fix for intellisense completion, now Views are displayed together with Tables calling intellisense (Oracle Bug #16881451). - Fix for parser syntax, now the parser supports the clause ALTER TABLE table_name RENAME {INDEX|KEY} old_index_name TO new_index_name introduced in MySql 5.7. (Oracle Bug #16881481) - Fix for Debugging a routine produces an error when binary log is enabled (Oracle bug #16941181). - Fix for WorkItem 552: MySql for Visual Studio Installer fails when installing against VS2008. - Fix for bug Vs plugin installer is not working (Oracle bug #16973339). - Fix for bug Release notes file has no notes about (Oracle bug #16973326). 1.0.1 - Fix for "README" file and "Release Notes" file referes to connector 6.6. - Fix for Parser fails to recognizes a complex view (Oracle bug #16815427). - Fix for Altering table's primary key in designer not working (Oracle bug #16866053). - Fix for Web configuration tool is not shown on mysql for visual studio (Oracle bug # 16902696). - Fix for Model first is not supported using mysql for visual studio (Oracle bug # 16902743). - Fix for Mysql for vs should not be installed with connector/net version < 6.7 (Oracle bug # 16902774). - Fix for Resolve assemblies dependencies between MySql.Data (Connector/Net version) and MySql.Data (WI # 460). - Fix for Showing an exception related to resources (Oracle bug #16903039). 1.0.0 - Added new option on Connection Node for Server Explorer Window in Visual Studio to give the user the option when WB is Installed to open the MySQL Utilities console window. - Added new option on Connection Node for Server Explorer Window in Visual Studio to give the user the option when WB is Installed to open the SQL Editor Window using the same connection. - Implemented a menu option to generate table script from server explorer context menu (Tracker task 433). - Fix for bug If using repair option, then vs2010 doesnt allow to connect to db (Oracle bug #16238242). - Fix for bug "Can't change the name for a view in view editor" (Oracle bug #13805346). - Fix for Debugger cannot debug stored procedures with a main begin labeled and declare statements included (Oracle bug #16002371). - Fix for bug If using repair option at Installer, then vs2010 doesnt allow to connect to db (Oracle bug #16238242). - Fix for "Cannot change the name for a Foreign Key in table designer" (Oracle bug #16238068). - Fix for error when trying to set primary key for a column with same name as mysql keyword (like INT) in table designer   (Oracle bug #16238102). - Fix for databases not displayed in connect dialog for mysql script when correcting credentials, after entering a bad password   (Oracle bug #13805337). - Fix for Debugger fails trying to debug a stored routine in a MySql server hosted in linux without lower_case_table_names option enabled   (MySql bug #69065, Oracle bug #16770384). - Fix for Debugger issue, Values through watch tab shouldn't allow to be modified (Oracle bug #14545448). - Fix for Visual Studio Mysql editor colors cannot be customized (Oracle bug #16453324, MySql bug #67994). The documentation is available as part of Connector/NET at http://dev.mysql.com/doc/refman/5.7/en/connector-net.html  Enjoy and thanks for the support!  --  Fernando Gonzalez Sanchez | Software Engineer |  Oracle MySQL Windows Experience Team, Connector/NET  Guadalajara | Jalisco | Mexico

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  • SQL SERVER – Not Possible – Delete From Multiple Table – Update Multiple Table in Single Statement

    - by pinaldave
    There are two questions which I get every single day multiple times. In my gmail, I have created standard canned reply for them. Let us see the questions here. I want to delete from multiple table in a single statement how will I do it? I want to update multiple table in a single statement how will I do it? The answer is – No, You cannot and you should not. SQL Server does not support deleting or updating from two tables in a single update. If you want to delete or update two different tables – you may want to write two different delete or update statements for it. This method has many issues – from the consistency of the data to SQL syntax. Now here is the real reason for this blog post – yesterday I was asked this question again and I replied my canned answer saying it is not possible and it should not be any way implemented that day. In the response to my reply I was pointed out to my own blog post where user suggested that I had previously mentioned this is possible and with demo example. Let us go over my conversation – you may find it interesting. Let us call the user DJ. DJ: Pinal, can we delete multiple table in a single statement or with single delete statement? Pinal: No, you cannot and you should not. DJ: Oh okey, if that is the case, why do you suggest to do that? Pinal: (baffled) I am not suggesting that. I am rather suggesting that it is not possible and it should not be possible. DJ: Hmm… but in that case why did you blog about it earlier? Pinal: (What?) No, I did not. I am pretty confident. DJ: Well, I am confident as well. You did. Pinal: In that case, it is my word against your word. Isn’t it? DJ: I have proof. Do you want to see it that you suggest it is possible? Pinal: Yes, I will be delighted too. (After 10 Minutes) DJ: Here are not one but two of your blog posts which talks about it - SQL SERVER – Curious Case of Disappearing Rows – ON UPDATE CASCADE and ON DELETE CASCADE – Part 1 of 2 SQL SERVER – Curious Case of Disappearing Rows – ON UPDATE CASCADE and ON DELETE CASCADE – T-SQL Example – Part 2 of 2 Pinal: Oh! DJ: I know I was correct. Pinal: Well, oh man, I did not mean there what you mean here. DJ: I did not understand can you explain it further. Pinal: Here we go. The example in the other blog is the example of the cascading delete or cascading update. I think you may want to understand the concept of the foreign keys and cascading update/delete. The concept of cascading exists to maintain data integrity. If there primary keys get deleted the update or delete reflects on the foreign key table to maintain the key integrity and data consistency. SQL Server follows ANSI Entry SQL with regard to referential integrity between PrimaryKey and ForeignKey columns which requires the inserting, updating, and deleting of data in related tables to be restricted to values that preserve the integrity. This is all together different concept than deleting multiple values in a single statement. When I hear that someone wants to delete or update multiple table in a single statement what I assume is something very similar to following. DELETE/UPDATE Table 1 (cols) Table 2 (cols) VALUES … which is not valid statement/syntax as well it is not ASNI standards as well. I guess, after this discussion with DJ, I realize I need to do a blog post so I can add the link to this blog post in my canned answer. Well, it was a fun conversation with DJ and I hope it the message is very clear now. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Joins, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Wireless not working on Dell XPS 17 after installing 12.04

    - by user60622
    I (linux newbie) have a Dell XPS 17 and tried to install Ubuntu 12.04. After installation all WLAN accesspoints near are detected. But I can not connect (but I am able to connect with other computers as well as with Dell XPS 17 under windows). Outputs: iwconfig lo no wireless extensions. wlan0 IEEE 802.11bg ESSID:"LerchenPoint" Mode:Managed Frequency:2.412 GHz Access Point: 58:6D:8F:A0:2D:58 Bit Rate=1 Mb/s Tx-Power=14 dBm Retry long limit:7 RTS thr:off Fragment thr:off Power Management:off Link Quality=70/70 Signal level=-37 dBm Rx invalid nwid:0 Rx invalid crypt:0 Rx invalid frag:0 Tx excessive retries:0 Invalid misc:19 Missed beacon:0 eth0 no wireless extensions. sudo lshw -class network *-network description: Wireless interface product: Centrino Wireless-N 1000 vendor: Intel Corporation physical id: 0 bus info: pci@0000:04:00.0 logical name: wlan0 version: 00 serial: 00:26:c7:99:98:28 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list ethernet physical wireless configuration: broadcast=yes driver=iwlwifi driverversion=3.2.0-24-generic firmware=39.31.5.1 build 35138 latency=0 link=no multicast=yes wireless=IEEE 802.11bg resources: irq:50 memory:f0400000-f0401fff *-network description: Ethernet interface product: RTL8111/8168B PCI Express Gigabit Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:0a:00.0 logical name: eth0 version: 06 serial: f0:4d:a2:56:e3:94 size: 1Gbit/s capacity: 1Gbit/s width: 64 bits clock: 33MHz capabilities: pm msi pciexpress msix vpd bus_master cap_list ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=r8169 driverversion=2.3LK-NAPI duplex=full firmware=rtl_nic/rtl8168e-2.fw ip=192.168.0.123 latency=0 link=yes multicast=yes port=MII speed=1Gbit/s resources: irq:47 ioport:6000(size=256) memory:f0a04000-f0a04fff memory:f0a00000-f0a03fff dmesg | grep iwl [ 10.157531] iwlwifi 0000:04:00.0: PCI INT A -> GSI 17 (level, low) -> IRQ 17 [ 10.157561] iwlwifi 0000:04:00.0: setting latency timer to 64 [ 10.157598] iwlwifi 0000:04:00.0: pci_resource_len = 0x00002000 [ 10.157599] iwlwifi 0000:04:00.0: pci_resource_base = ffffc90011090000 [ 10.157601] iwlwifi 0000:04:00.0: HW Revision ID = 0x0 [ 10.157731] iwlwifi 0000:04:00.0: irq 50 for MSI/MSI-X [ 10.157834] iwlwifi 0000:04:00.0: Detected Intel(R) Centrino(R) Wireless-N 1000 BGN, REV=0x6C [ 10.157976] iwlwifi 0000:04:00.0: L1 Enabled; Disabling L0S [ 10.179772] iwlwifi 0000:04:00.0: device EEPROM VER=0x15d, CALIB=0x6 [ 10.179775] iwlwifi 0000:04:00.0: Device SKU: 0X50 [ 10.179777] iwlwifi 0000:04:00.0: Valid Tx ant: 0X1, Valid Rx ant: 0X3 [ 10.179796] iwlwifi 0000:04:00.0: Tunable channels: 13 802.11bg, 0 802.11a channels [ 10.574728] iwlwifi 0000:04:00.0: loaded firmware version 39.31.5.1 build 35138 [ 10.726409] ieee80211 phy0: Selected rate control algorithm 'iwl-agn-rs' [ 19.714132] iwlwifi 0000:04:00.0: L1 Enabled; Disabling L0S [ 19.777862] iwlwifi 0000:04:00.0: L1 Enabled; Disabling L0S [ 2251.603089] iwlwifi 0000:04:00.0: PCI INT A disabled [ 2266.578350] iwlwifi 0000:04:00.0: PCI INT A -> GSI 17 (level, low) -> IRQ 17 [ 2266.578399] iwlwifi 0000:04:00.0: setting latency timer to 64 [ 2266.578435] iwlwifi 0000:04:00.0: pci_resource_len = 0x00002000 [ 2266.578437] iwlwifi 0000:04:00.0: pci_resource_base = ffffc90011090000 [ 2266.578439] iwlwifi 0000:04:00.0: HW Revision ID = 0x0 [ 2266.578704] iwlwifi 0000:04:00.0: irq 50 for MSI/MSI-X [ 2266.578808] iwlwifi 0000:04:00.0: Detected Intel(R) Centrino(R) Wireless-N 1000 BGN, REV=0x6C [ 2266.578916] iwlwifi 0000:04:00.0: L1 Enabled; Disabling L0S [ 2266.600709] iwlwifi 0000:04:00.0: device EEPROM VER=0x15d, CALIB=0x6 [ 2266.600712] iwlwifi 0000:04:00.0: Device SKU: 0X50 [ 2266.600713] iwlwifi 0000:04:00.0: Valid Tx ant: 0X1, Valid Rx ant: 0X3 [ 2266.600727] iwlwifi 0000:04:00.0: Tunable channels: 13 802.11bg, 0 802.11a channels [ 2266.605978] iwlwifi 0000:04:00.0: loaded firmware version 39.31.5.1 build 35138 [ 2266.606331] ieee80211 phy0: Selected rate control algorithm 'iwl-agn-rs' [ 2266.614179] iwlwifi 0000:04:00.0: L1 Enabled; Disabling L0S [ 2266.681541] iwlwifi 0000:04:00.0: L1 Enabled; Disabling L0S Solutions I tried: rfkill list all 0: dell-wifi: Wireless LAN Soft blocked: no Hard blocked: no 2: phy0: Wireless LAN Soft blocked: no Hard blocked: no echo "options iwlwifi 11n_disable=1" | sudo tee /etc/modprobe.d/iwlwifi.conf options iwlwifi 11n_disable=1 sudo modprobe -rfv iwlwifi WARNING: All config files need .conf: /etc/modprobe.d/blacklist, it will be ignored in a future release. rmmod /lib/modules/3.2.0-24-generic/kernel/drivers/net/wireless/iwlwifi/iwlwifi.ko rmmod /lib/modules/3.2.0-24-generic/kernel/net/mac80211/mac80211.ko rmmod /lib/modules/3.2.0-24-generic/kernel/net/wireless/cfg80211.ko sudo modprobe iwlwifi WARNING: All config files need .conf: /etc/modprobe.d/blacklist, it will be ignored in a future release. replacing iwlwifi-1000-5.ucode (current driver) against iwlwifi-1000-3.ucode sudo jockey-gtk: (jockey-gtk:2493): Gtk-CRITICAL **: gtk_icon_set_render_icon_pixbuf: assertion icon_set != NULL' failed (jockey-gtk:2493): Gtk-CRITICAL **: gtk_icon_set_render_icon_pixbuf: assertion icon_set != NULL' failed nothing is listet in "Additional drivers" (german: "Zusätzliche Treiber"). gksudo gedit /etc/modprobe.d/blacklist.conf add "blacklist acer_wmi" Any help would be appreciated very much. Thanks!!

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  • How to Tell If Your Computer is Overheating and What to Do About It

    - by Chris Hoffman
    Heat is a computer’s enemy. Computers are designed with heat dispersion and ventilation in mind so they don’t overheat. If too much heat builds up, your computer may become unstable or suddenly shut down. The CPU and graphics card produce much more heat when running demanding applications. If there’s a problem with your computer’s cooling system, an excess of heat could even physically damage its components. Is Your Computer Overheating? When using a typical computer in a typical way, you shouldn’t have to worry about overheating at all. However, if you’re encountering system instability issues like abrupt shut downs, blue screens, and freezes — especially while doing something demanding like playing PC games or encoding video — your computer may be overheating. This can happen for several reasons. Your computer’s case may be full of dust, a fan may have failed, something may be blocking your computer’s vents, or you may have a compact laptop that was never designed to run at maximum performance for hours on end. Monitoring Your Computer’s Temperature First, bear in mind that different CPUs and GPUs (graphics cards) have different optimal temperature ranges. Before getting too worried about a temperature, be sure to check your computer’s documentation — or its CPU or graphics card specifications — and ensure you know the temperature ranges your hardware can handle. You can monitor your computer’s temperatures in a variety of different ways. First, you may have a way to monitor temperature that is already built into your system. You can often view temperature values in your computer’s BIOS or UEFI settings screen. This allows you to quickly see your computer’s temperature if Windows freezes or blue screens on you — just boot the computer, enter the BIOS or UEFI screen, and check the temperatures displayed there. Note that not all BIOSes or UEFI screens will display this information, but it is very common. There are also programs that will display your computer’s temperature. Such programs just read the sensors inside your computer and show you the temperature value they report, so there are a wide variety of tools you can use for this, from the simple Speccy system information utility to an advanced tool like SpeedFan. HWMonitor also offer this feature, displaying a wide variety of sensor information. Be sure to look at your CPU and graphics card temperatures. You can also find other temperatures, such as the temperature of your hard drive, but these components will generally only overheat if it becomes extremely hot in the computer’s case. They shouldn’t generate too much heat on their own. If you think your computer may be overheating, don’t just glance as these sensors once and ignore them. Do something demanding with your computer, such as running a CPU burn-in test with Prime 95, playing a PC game, or running a graphical benchmark. Monitor the computer’s temperature while you do this, even checking a few hours later — does any component overheat after you push it hard for a while? Preventing Your Computer From Overheating If your computer is overheating, here are some things you can do about it: Dust Out Your Computer’s Case: Dust accumulates in desktop PC cases and even laptops over time, clogging fans and blocking air flow. This dust can cause ventilation problems, trapping heat and preventing your PC from cooling itself properly. Be sure to clean your computer’s case occasionally to prevent dust build-up. Unfortunately, it’s often more difficult to dust out overheating laptops. Ensure Proper Ventilation: Put the computer in a location where it can properly ventilate itself. If it’s a desktop, don’t push the case up against a wall so that the computer’s vents become blocked or leave it near a radiator or heating vent. If it’s a laptop, be careful to not block its air vents, particularly when doing something demanding. For example, putting a laptop down on a mattress, allowing it to sink in, and leaving it there can lead to overheating — especially if the laptop is doing something demanding and generating heat it can’t get rid of. Check if Fans Are Running: If you’re not sure why your computer started overheating, open its case and check that all the fans are running. It’s possible that a CPU, graphics card, or case fan failed or became unplugged, reducing air flow. Tune Up Heat Sinks: If your CPU is overheating, its heat sink may not be seated correctly or its thermal paste may be old. You may need to remove the heat sink and re-apply new thermal paste before reseating the heat sink properly. This tip applies more to tweakers, overclockers, and people who build their own PCs, especially if they may have made a mistake when originally applying the thermal paste. This is often much more difficult when it comes to laptops, which generally aren’t designed to be user-serviceable. That can lead to trouble if the laptop becomes filled with dust and needs to be cleaned out, especially if the laptop was never designed to be opened by users at all. Consult our guide to diagnosing and fixing an overheating laptop for help with cooling down a hot laptop. Overheating is a definite danger when overclocking your CPU or graphics card. Overclocking will cause your components to run hotter, and the additional heat will cause problems unless you can properly cool your components. If you’ve overclocked your hardware and it has started to overheat — well, throttle back the overclock! Image Credit: Vinni Malek on Flickr     

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  • Reference Data Management and Master Data: Are Relation ?

    - by Mala Narasimharajan
    Submitted By:  Rahul Kamath  Oracle Data Relationship Management (DRM) has always been extremely powerful as an Enterprise Master Data Management (MDM) solution that can help manage changes to master data in a way that influences enterprise structure, whether it be mastering chart of accounts to enable financial transformation, or revamping organization structures to drive business transformation and operational efficiencies, or restructuring sales territories to enable equitable distribution of leads to sales teams following the acquisition of new products, or adding additional cost centers to enable fine grain control over expenses. Increasingly, DRM is also being utilized by Oracle customers for reference data management, an emerging solution space that deserves some explanation. What is reference data? How does it relate to Master Data? Reference data is a close cousin of master data. While master data is challenged with problems of unique identification, may be more rapidly changing, requires consensus building across stakeholders and lends structure to business transactions, reference data is simpler, more slowly changing, but has semantic content that is used to categorize or group other information assets – including master data – and gives them contextual value. In fact, the creation of a new master data element may require new reference data to be created. For example, when a European company acquires a US business, chances are that they will now need to adapt their product line taxonomy to include a new category to describe the newly acquired US product line. Further, the cross-border transaction will also result in a revised geo hierarchy. The addition of new products represents changes to master data while changes to product categories and geo hierarchy are examples of reference data changes.1 The following table contains an illustrative list of examples of reference data by type. Reference data types may include types and codes, business taxonomies, complex relationships & cross-domain mappings or standards. Types & Codes Taxonomies Relationships / Mappings Standards Transaction Codes Industry Classification Categories and Codes, e.g., North America Industry Classification System (NAICS) Product / Segment; Product / Geo Calendars (e.g., Gregorian, Fiscal, Manufacturing, Retail, ISO8601) Lookup Tables (e.g., Gender, Marital Status, etc.) Product Categories City à State à Postal Codes Currency Codes (e.g., ISO) Status Codes Sales Territories (e.g., Geo, Industry Verticals, Named Accounts, Federal/State/Local/Defense) Customer / Market Segment; Business Unit / Channel Country Codes (e.g., ISO 3166, UN) Role Codes Market Segments Country Codes / Currency Codes / Financial Accounts Date/Time, Time Zones (e.g., ISO 8601) Domain Values Universal Standard Products and Services Classification (UNSPSC), eCl@ss International Classification of Diseases (ICD) e.g., ICD9 à IC10 mappings Tax Rates Why manage reference data? Reference data carries contextual value and meaning and therefore its use can drive business logic that helps execute a business process, create a desired application behavior or provide meaningful segmentation to analyze transaction data. Further, mapping reference data often requires human judgment. Sample Use Cases of Reference Data Management Healthcare: Diagnostic Codes The reference data challenges in the healthcare industry offer a case in point. Part of being HIPAA compliant requires medical practitioners to transition diagnosis codes from ICD-9 to ICD-10, a medical coding scheme used to classify diseases, signs and symptoms, causes, etc. The transition to ICD-10 has a significant impact on business processes, procedures, contracts, and IT systems. Since both code sets ICD-9 and ICD-10 offer diagnosis codes of very different levels of granularity, human judgment is required to map ICD-9 codes to ICD-10. The process requires collaboration and consensus building among stakeholders much in the same way as does master data management. Moreover, to build reports to understand utilization, frequency and quality of diagnoses, medical practitioners may need to “cross-walk” mappings -- either forward to ICD-10 or backwards to ICD-9 depending upon the reporting time horizon. Spend Management: Product, Service & Supplier Codes Similarly, as an enterprise looks to rationalize suppliers and leverage their spend, conforming supplier codes, as well as product and service codes requires supporting multiple classification schemes that may include industry standards (e.g., UNSPSC, eCl@ss) or enterprise taxonomies. Aberdeen Group estimates that 90% of companies rely on spreadsheets and manual reviews to aggregate, classify and analyze spend data, and that data management activities account for 12-15% of the sourcing cycle and consume 30-50% of a commodity manager’s time. Creating a common map across the extended enterprise to rationalize codes across procurement, accounts payable, general ledger, credit card, procurement card (P-card) as well as ACH and bank systems can cut sourcing costs, improve compliance, lower inventory stock, and free up talent to focus on value added tasks. Change Management: Point of Sales Transaction Codes and Product Codes In the specialty finance industry, enterprises are confronted with usury laws – governed at the state and local level – that regulate financial product innovation as it relates to consumer loans, check cashing and pawn lending. To comply, it is important to demonstrate that transactions booked at the point of sale are posted against valid product codes that were on offer at the time of booking the sale. Since new products are being released at a steady stream, it is important to ensure timely and accurate mapping of point-of-sale transaction codes with the appropriate product and GL codes to comply with the changing regulations. Multi-National Companies: Industry Classification Schemes As companies grow and expand across geographies, a typical challenge they encounter with reference data represents reconciling various versions of industry classification schemes in use across nations. While the United States, Mexico and Canada conform to the North American Industry Classification System (NAICS) standard, European Union countries choose different variants of the NACE industry classification scheme. Multi-national companies must manage the individual national NACE schemes and reconcile the differences across countries. Enterprises must invest in a reference data change management application to address the challenge of distributing reference data changes to downstream applications and assess which applications were impacted by a given change. References 1 Master Data versus Reference Data, Malcolm Chisholm, April 1, 2006.

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  • Cardinality Estimation Bug with Lookups in SQL Server 2008 onward

    - by Paul White
    Cost-based optimization stands or falls on the quality of cardinality estimates (expected row counts).  If the optimizer has incorrect information to start with, it is quite unlikely to produce good quality execution plans except by chance.  There are many ways we can provide good starting information to the optimizer, and even more ways for cardinality estimation to go wrong.  Good database people know this, and work hard to write optimizer-friendly queries with a schema and metadata (e.g. statistics) that reduce the chances of poor cardinality estimation producing a sub-optimal plan.  Today, I am going to look at a case where poor cardinality estimation is Microsoft’s fault, and not yours. SQL Server 2005 SELECT th.ProductID, th.TransactionID, th.TransactionDate FROM Production.TransactionHistory AS th WHERE th.ProductID = 1 AND th.TransactionDate BETWEEN '20030901' AND '20031231'; The query plan on SQL Server 2005 is as follows (if you are using a more recent version of AdventureWorks, you will need to change the year on the date range from 2003 to 2007): There is an Index Seek on ProductID = 1, followed by a Key Lookup to find the Transaction Date for each row, and finally a Filter to restrict the results to only those rows where Transaction Date falls in the range specified.  The cardinality estimate of 45 rows at the Index Seek is exactly correct.  The table is not very large, there are up-to-date statistics associated with the index, so this is as expected. The estimate for the Key Lookup is also exactly right.  Each lookup into the Clustered Index to find the Transaction Date is guaranteed to return exactly one row.  The plan shows that the Key Lookup is expected to be executed 45 times.  The estimate for the Inner Join output is also correct – 45 rows from the seek joining to one row each time, gives 45 rows as output. The Filter estimate is also very good: the optimizer estimates 16.9951 rows will match the specified range of transaction dates.  Eleven rows are produced by this query, but that small difference is quite normal and certainly nothing to worry about here.  All good so far. SQL Server 2008 onward The same query executed against an identical copy of AdventureWorks on SQL Server 2008 produces a different execution plan: The optimizer has pushed the Filter conditions seen in the 2005 plan down to the Key Lookup.  This is a good optimization – it makes sense to filter rows out as early as possible.  Unfortunately, it has made a bit of a mess of the cardinality estimates. The post-Filter estimate of 16.9951 rows seen in the 2005 plan has moved with the predicate on Transaction Date.  Instead of estimating one row, the plan now suggests that 16.9951 rows will be produced by each clustered index lookup – clearly not right!  This misinformation also confuses SQL Sentry Plan Explorer: Plan Explorer shows 765 rows expected from the Key Lookup (it multiplies a rounded estimate of 17 rows by 45 expected executions to give 765 rows total). Workarounds One workaround is to provide a covering non-clustered index (avoiding the lookup avoids the problem of course): CREATE INDEX nc1 ON Production.TransactionHistory (ProductID) INCLUDE (TransactionDate); With the Transaction Date filter applied as a residual predicate in the same operator as the seek, the estimate is again as expected: We could also force the use of the ultimate covering index (the clustered one): SELECT th.ProductID, th.TransactionID, th.TransactionDate FROM Production.TransactionHistory AS th WITH (INDEX(1)) WHERE th.ProductID = 1 AND th.TransactionDate BETWEEN '20030901' AND '20031231'; Summary Providing a covering non-clustered index for all possible queries is not always practical, and scanning the clustered index will rarely be optimal.  Nevertheless, these are the best workarounds we have today. In the meantime, watch out for poor cardinality estimates when a predicate is applied as part of a lookup. The worst thing is that the estimate after the lookup join in the 2008+ plans is wrong.  It’s not hopelessly wrong in this particular case (45 versus 16.9951 is not the end of the world) but it easily can be much worse, and there’s not much you can do about it.  Any decisions made by the optimizer after such a lookup could be based on very wrong information – which can only be bad news. If you think this situation should be improved, please vote for this Connect item. © 2012 Paul White – All Rights Reserved twitter: @SQL_Kiwi email: [email protected]

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  • InnoDB Compression Improvements in MySQL 5.6

    - by Inaam Rana
    MySQL 5.6 comes with significant improvements for the compression support inside InnoDB. The enhancements that we'll talk about in this piece are also a good example of community contributions. The work on these was conceived, implemented and contributed by the engineers at Facebook. Before we plunge into the details let us familiarize ourselves with some of the key concepts surrounding InnoDB compression. In InnoDB compressed pages are fixed size. Supported sizes are 1, 2, 4, 8 and 16K. The compressed page size is specified at table creation time. InnoDB uses zlib for compression. InnoDB buffer pool will attempt to cache compressed pages like normal pages. However, whenever a page is actively used by a transaction, we'll always have the uncompressed version of the page as well i.e.: we can have a page in the buffer pool in compressed only form or in a state where we have both the compressed page and uncompressed version but we'll never have a page in uncompressed only form. On-disk we'll always only have the compressed page. When both compressed and uncompressed images are present in the buffer pool they are always kept in sync i.e.: changes are applied to both atomically. Recompression happens when changes are made to the compressed data. In order to minimize recompressions InnoDB maintains a modification log within a compressed page. This is the extra space available in the page after compression and it is used to log modifications to the compressed data thus avoiding recompressions. DELETE (and ROLLBACK of DELETE) and purge can be performed without recompressing the page. This is because the delete-mark bit and the system fields DB_TRX_ID and DB_ROLL_PTR are stored in uncompressed format on the compressed page. A record can be purged by shuffling entries in the compressed page directory. This can also be useful for updates of indexed columns, because UPDATE of a key is mapped to INSERT+DELETE+purge. A compression failure happens when we attempt to recompress a page and it does not fit in the fixed size. In such case, we first try to reorganize the page and attempt to recompress and if that fails as well then we split the page into two and recompress both pages. Now lets talk about the three major improvements that we made in MySQL 5.6.Logging of Compressed Page Images:InnoDB used to log entire compressed data on the page to the redo logs when recompression happens. This was an extra safety measure to guard against the rare case where an attempt is made to do recovery using a different zlib version from the one that was used before the crash. Because recovery is a page level operation in InnoDB we have to be sure that all recompress attempts must succeed without causing a btree page split. However, writing entire compressed data images to the redo log files not only makes the operation heavy duty but can also adversely affect flushing activity. This happens because redo space is used in a circular fashion and when we generate much more than normal redo we fill up the space much more quickly and in order to reuse the redo space we have to flush the corresponding dirty pages from the buffer pool.Starting with MySQL 5.6 a new global configuration parameter innodb_log_compressed_pages. The default value is true which is same as the current behavior. If you are sure that you are not going to attempt to recover from a crash using a different version of zlib then you should set this parameter to false. This is a dynamic parameter.Compression Level:You can now set the compression level that zlib should choose to compress the data. The global parameter is innodb_compression_level - the default value is 6 (the zlib default) and allowed values are 1 to 9. Again the parameter is dynamic i.e.: you can change it on the fly.Dynamic Padding to Reduce Compression Failures:Compression failures are expensive in terms of CPU. We go through the hoops of recompress, failure, reorganize, recompress, failure and finally page split. At the same time, how often we encounter compression failure depends largely on the compressibility of the data. In MySQL 5.6, courtesy of Facebook engineers, we have an adaptive algorithm based on per-index statistics that we gather about compression operations. The idea is that if a certain index/table is experiencing too many compression failures then we should try to pack the 16K uncompressed version of the page less densely i.e.: we let some space in the 16K page go unused in an attempt that the recompression won't end up in a failure. In other words, we dynamically keep adding 'pad' to the 16K page till we get compression failures within an agreeable range. It works the other way as well, that is we'll keep removing the pad if failure rate is fairly low. To tune the padding effort two configuration variables are exposed. innodb_compression_failure_threshold_pct: default 5, range 0 - 100,dynamic, implies the percentage of compress ops to fail before we start using to padding. Value 0 has a special meaning of disabling the padding. innodb_compression_pad_pct_max: default 50, range 0 - 75, dynamic, the  maximum percentage of uncompressed data page that can be reserved as pad.

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  • Process Centric Banking: Loan Origination Solution

    - by Manish Palaparthy
    There is an old proverb that goes, "The difference between theory and practice is greater in practice than in theory". So, we keep doing numerous "Proof of Concepts" with our own products on various business cases to analyze them deeply, understand and explain to our customers. We then present our learnings as they happened. The awareness of each PoC should help readers increase the trustworthiness of the results coming out of these PoCs. I present one such PoC where we invested a lot of time&effort.  Process Centric Banking : Loan Origination Solution Loan Origination is a process by which a borrower applies for a new loan and the lender processes that application. Loan origination includes the series of steps taken by the bank from the point the customer shows interest in a loan product all the way to disbursal of funds. The Loan Origination process is relevant for many kind of lenders in Financial services: Banks, Credit Unions, NBFCs(Non Banking Financial Companies) and so on. For simplicity sake, I will use "Bank" as the lending institution in the rest of my article.  Loan Origination is one of the core processes for Banks as it is the process by which the it creates assets against which the Institution earns most of its profits from. A well tuned loan origination process can affect the Bank in many positive ways. Banks have always shown great interest in automating the loan origination process for the above reason. However, due the constant changes in customer environment, market dynamics, prevailing economic conditions, cost pressures & regulatory environment they run into lot of challenges. Let me categorize some of these challenges for you Customer Environment Multiple Channels: Customer can use any of the available channels (Internet Banking, Email, Fax, Branch, Phone Banking, ATM, Broker, Mobile, Snail Mail) to perform all or some of the activities related to her Visibility into the origination process: Expect immediate update on the status of loan processing & alert messages Reduced Turn Around Time: Expect loans to be processed with least turn around time Reduced loan processing fees: Partly due to market dynamics the customer expects the loan processing fee to be negligible Market Dynamics Competitive environment:  The competition keeps creating many variants of loan products to attract customers, the bank needs to create similar product variants with better offers to attract customers or keep existing ones Ability to migrate loans from one vendor to another: It has become really easy for retail customers to move from one bank to the other given the low fee of loan processing and highly attractive offers. How does the bank protect it's customer base while actively engaging with potential customers banking with competitor banks Flexibility to react to market developments: Market development greatly influence loan processing, underwriting, asset valuation, risk mitigation rules. Can the bank modify rules and policies, the idea is not just to react to market developments but to pro-actively manage new developments Economic conditions Constant change in various rates and their implications on the rates and rules applied when on-boarding a loan: How quickly can the bank apply changes to rates offered to customers when the central bank changes various rates Requirements of Audit by the central banker: Tough economic conditions have demanded much more stringent audit rules and tests. The banks needs to produce ready reports(historic & operational) for audit compliance Risk Mitigation: While risk mitigation has always been a key concern for the bank, this is the area where the bank's underwriters & risk analysts spend the maximum time when processing a loan application. In order to reduce TAT the bank cannot compromise on its risk mitigation strategies Cost pressures Reduce Cost of processing per application: To deliver a reduced loan processing fee to the customer, the bank needs to keep its cost per processing loan application low. Meet customer TAT expectations while reducing the queues and the systems being used to process the loan application: The loan application could potentially be spending a lot of time waiting in the queue for further processing. Different volumes & patterns of applications demand different queuing algorithms. The bank needs to have real-time visibility into these queues and have the flexibility to change queuing algorithms at runtime  Increase the use of electronic communication and reduce the branch channel usage: Lesser automation leads not only leads to Increased turn around time, it also impacts more costs to reach out to customers The objective of our PoC was to implement a Loan Origination Solution whose ownership lies with the bank and effectively meet the challenges listed above. We built a simple story board for the solution We then went about implementing our storyboard using Oracle BPM Suite, Webcenter Content : Imaging. The web UI has been built on ADF technolgies, while the integration with core-services has been implemented using the underlying SOA infrastructure. The BPM process model is quite exhaustive can meet all the challenges listed above to reasonable degree. A bank intending to implement an end-to-end Loan Origination Solution has multiple options at it's disposal. It can Develop a customer Loan Origination Application from scratch: Gives maximum opportunity to build what you want but inflexible to upgrade and maintain. Higher TCO in long term Buy a Packaged application & customize it: Customizing a generic loan application can be tedious and prove as difficult as above. Build it using many disparate & un-integrated tools: Initially seems easier than developing from scratch. But, without integrated tool sets this is not a viable approach either or A solution based on a Framework: Independent Services and Business Process Modeling provide decoupled architecture that is flexible. We built this framework end-to-end with processes the core process of loan origination & several sub-processes such as Analyse and define customer needs, customer credit verification, identity check processes, legal review process, New customer registration & risk assessment.

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  • Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

    - by aspiringgeek
    Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario Conventional Structures Columnstore ? SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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  • How Estimates Became Quotes

    - by Lee Brandt
    It’s our fault. Well, not completely, but we haven’t helped the situation any. All of what follows comes from my own experiences which, from talking to lots of other developers about it, seems to be pretty much par for the course. Where We Started When we first started estimating, we estimated pretty clearly. We would try to imagine something we’d done that was similar to the project being estimated and we’d toss it about in our heads a bit and see how much bigger or smaller we thought this new thing was, and add or subtract accordingly. We wouldn’t spend too much time on it, because we wanted to get to writing the software. Eventually, we’d come across some huge problem that there was now way we could’ve known about ahead of time. Either we didn’t see this thing or, we didn’t realize that this particular version of a problem would be so… problematic. We usually call this “not knowing what we don’t know”. It’s unavoidable. We just can’t know. Until we wade in and start putting some code together, there are just some things we won’t know… and some things we don’t even know that we don’t know. Y’know? So what happens? We go over budget. Project managers scream and dance the dance of the stressed-out project manager, and there is nothing we can do (or could’ve done) about it. We didn’t know. We thought about it for a bit and we didn’t see this herculean task sitting in the middle of our nice quiet project, and it has bitten us in the rear end. We now know how to handle this in the future, though. We will take some more time to pick around the requirements and discover all those things we don’t know. We’ll do some prototyping, we’ll read some blogs about similar projects, we’ll really grill the customer with questions during the requirements gathering phase. We’ll keeping asking “what else?” until the shove us down the stairs. We’ll take our time and uncover it all. We Learned, But Good The next time comes, and you know what happens? We do it. We grill the customer for weeks and prototype and read and research and we estimate everything down to the last button on the last form. Know what that gets us? It gets us three months of wasted time, and our estimate will still be off. Possibly off by a factor of four. WTF, mate? No way we could be surprised by something! We uncovered every particle. We turned every stone. How is it we still came across unknowns? Because we STILL didn’t know what we didn’t know. How could we? We didn’t know to ask. The worst part is, we’ve now convinced the product that this is NOT an estimate. It is a solid number based on massive research and an endless number of questions that they answered. There is absolutely now way you don’t know everything there is to know about this project now. No way there is anything you haven’t uncovered. And their faith in that “Esti-Quote” goes through the roof. When the project goes over this time, they might even begin to question whether or not you know what you’re doing. Who could blame them? You drilled them for weeks about every little thing, and when they complained about all the questions, you told them you wanted to uncover everything so there would be no surprises. SO we set them up to faile Guess, Then Plan We had a chance. At the beginning we could have just said, “That’s just a gut-feeling estimate, based on my past experience with similar projects. There could still be surprises.” If we spend SOME time doing SOME discovery and then bounce that against our own past experiences, we can come up with a fairly healthy estimate. We can then help the product owner understand that an estimate is a guess. Sure, it’s an educated guess, but it is still a guess. If we get it right it will be almost completely luck. Then, we help them to plan the development by taking that guess (yes, they still need the guess for planning purposes) and start measuring early and often to see if we still think we are right. We should adjust the estimate and alert the product owner as soon as we see problems (bad news does not age well) and we should be able to see any problems immediately if we are constantly measuring our pace. In lean software, we start with that guess and begin measuring cycle times immediately. Then we can make projections based on those cycle times and compare them to our estimate. This constant feedback is the best way to ensure that there are no surprises at the END of the project. There sill still be surprises, but we’ll see them sooner and have a better understanding of how they will affect our overall timeline. What do you think?

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  • JavaOne 2012 Sunday Strategy Keynote

    - by Janice J. Heiss
    At the Sunday Strategy Keynote, held at the Masonic Auditorium, Hasan Rizvi, EVP, Middleware and Java Development, stated that the theme for this year's JavaOne is: “Make the future Java”-- meaning that Java continues in its role as the most popular, complete, productive, secure, and innovative development platform. But it also means, he qualified, the process by which we make the future Java -- an open, transparent, collaborative, and community-driven evolution. "Many of you have bet your businesses and your careers on Java, and we have bet our business on Java," he said.Rizvi detailed the three factors they consider critical to the success of Java--technology innovation, community participation, and Oracle's leadership/stewardship. He offered a scorecard in these three realms over the past year--with OS X and Linux ARM support on Java SE, open sourcing of JavaFX by the end of the year, the release of Java Embedded Suite 7.0 middleware platform, and multiple releases on the Java EE side. The JCP process continues, with new JSR activity, and JUGs show a 25% increase in participation since last year. Oracle, meanwhile, continues its commitment to both technology and community development/outreach--with four regional JavaOne conferences last year in various part of the world, as well as the release of Java Magazine, with over 120,000 current subscribers. Georges Saab, VP Development, Java SE, next reviewed features of Java SE 7--the first major revision to the platform under Oracle's stewardship, which has included near-monthly update releases offering hundreds of fixes, performance enhancements, and new features. Saab indicated that developers, ISVs, and hosting providers have all been rapid adopters of the platform. He also noted that Oracle's entire Fusion middleware stack is supported on SE 7. The supported platforms for SE 7 has also increased--from Windows, Linux, and Solaris, to OS X, Linux ARM, and the emerging ARM micro-server market. "In the last year, we've added as many new platforms for Java, as were added in the previous decade," said Saab.Saab also explored the upcoming JDK 8 release--including Project Lambda, Project Nashorn (a modern implementation of JavaScript running on the JVM), and others. He noted that Nashorn functionality had already been used internally in NetBeans 7.3, and announced that they were planning to contribute the implementation to OpenJDK. Nandini Ramani, VP Development, Java Client, ME and Card, discussed the latest news pertaining to JavaFX 2.0--releases on Windows, OS X, and Linux, release of the FX Scene Builder tool, the JavaFX WebView component in NetBeans 7.3, and an OpenJFX project in OpenJDK. Nandini announced, as of Sunday, the availability for download of JavaFX on Linux ARM (developer preview), as well as Scene Builder on Linux. She noted that for next year's JDK 8 release, JavaFX will offer 3D, as well as third-party component integration. Avinder Brar, Senior Software Engineer, Navis, and Dierk König, Canoo Fellow, next took the stage and demonstrated all that JavaFX offers, with a feature-rich, animation-rich, real-time cargo management application that employs Canoo's just open-sourced Dolphin technology.Saab also explored Java SE 9 and beyond--Jigsaw modularity, Penrose Project for interoperability with OSGi, improved multi-tenancy for Java in the cloud, and Project Sumatra. Phil Rogers, HSA Foundation President and AMD Corporate Fellow, explored heterogeneous computing platforms that combine the CPU and the parallel processor of the GPU into a single piece of silicon and shared memory—a hardware technology driven by such advanced functionalities as HD video, face recognition, and cloud workloads. Project Sumatra is an OpenJDK project targeted at bringing Java to such heterogeneous platforms--with hardware and software experts working together to modify the JVM for these advanced applications and platforms.Ramani next discussed the latest with Java in the embedded space--"the Internet of things" and M2M--declaring this to be "the next IT revolution," with Java as the ideal technology for the ecosystem. Last week, Oracle released Java ME Embedded 3.2 (for micro-contollers and low-power devices), and Java Embedded Suite 7.0 (a middleware stack based on Java SE 7). Axel Hansmann, VP Strategy and Marketing, Cinterion, explored his company's use of Java in M2M, and their new release of EHS5, the world's smallest 3G-capable M2M module, running Java ME Embedded. Hansmaan explained that Java offers them the ability to create a "simple to use, scalable, coherent, end-to-end layer" for such diverse edge devices.Marc Brule, Chief Financial Office, Royal Canadian Mint, also explored the fascinating use-case of JavaCard in his country's MintChip e-cash technology--deployable on smartphones, USB device, computer, tablet, or cloud. In parting, Ramani encouraged developers to download the latest releases of Java Embedded, and try them out.Cameron Purdy, VP, Fusion Middleware Development and Java EE, summarized the latest developments and announcements in the Enterprise space--greater developer productivity in Java EE6 (with more on the way in EE 7), portability between platforms, vendors, and even cloud-to-cloud portability. The earliest version of the Java EE 7 SDK is now available for download--in GlassFish 4--with WebSocket support, better JSON support, and more. The final release is scheduled for April of 2013. Nicole Otto, Senior Director, Consumer Digital Technology, Nike, explored her company's Java technology driven enterprise ecosystem for all things sports, including the NikeFuel accelerometer wrist band. Looking beyond Java EE 7, Purdy mentioned NoSQL database functionality for EE 8, the concurrency utilities (possibly in EE 7), some of the Avatar projects in EE 7, some in EE 8, multi-tenancy for the cloud, supporting SaaS applications, and more.Rizvi ended by introducing Dr. Robert Ballard, oceanographer and National Geographic Explorer in Residence--part of Oracle's philanthropic relationship with the National Geographic Society to fund K-12 education around ocean science and conservation. Ballard is best known for having discovered the wreckage of the Titanic. He offered a fascinating video and overview of the cutting edge technology used in such deep-sea explorations, noting that in his early days, high-bandwidth exploration meant that you’d go down in a submarine and "stick your face up against the window." Now, it's a remotely operated, technology telepresence--"I think of my Hercules vehicle as my equivalent of a Na'vi. When I go beneath the sea, I actually send my spirit." Using high bandwidth satellite links, such amazing explorations can now occur via smartphone, laptop, or whatever platform. Ballard’s team regularly offers live feeds and programming out to schools and the world, spanning 188 countries--with embedding educators as part of the expeditions. It's technology at its finest, inspiring the next-generation of scientists and explorers!

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  • SPARC T4-4 Delivers World Record Performance on Oracle OLAP Perf Version 2 Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered world record performance with subsecond response time on the Oracle OLAP Perf Version 2 benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 11. The SPARC T4-4 server achieved throughput of 430,000 cube-queries/hour with an average response time of 0.85 seconds and the median response time of 0.43 seconds. This was achieved by using only 60% of the available CPU resources leaving plenty of headroom for future growth. The SPARC T4-4 server operated on an Oracle OLAP cube with a 4 billion row fact table of sales data containing 4 dimensions. This represents as many as 90 quintillion aggregate rows (90 followed by 18 zeros). Performance Landscape Oracle OLAP Perf Version 2 Benchmark 4 Billion Fact Table Rows System Queries/hour Users* Response Time (sec) Average Median SPARC T4-4 430,000 7,300 0.85 0.43 * Users - the supported number of users with a given think time of 60 seconds Configuration Summary and Results Hardware Configuration: SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 1 TB memory Data Storage 1 x Sun Fire X4275 (using COMSTAR) 2 x Sun Storage F5100 Flash Array (each with 80 FMODs) Redo Storage 1 x Sun Fire X4275 (using COMSTAR with 8 HDD) Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 (11.2.0.3) with Oracle OLAP option Benchmark Description The Oracle OLAP Perf Version 2 benchmark is a workload designed to demonstrate and stress the Oracle OLAP product's core features of fast query, fast update, and rich calculations on a multi-dimensional model to support enhanced Data Warehousing. The bulk of the benchmark entails running a number of concurrent users, each issuing typical multidimensional queries against an Oracle OLAP cube consisting of a number of years of sales data with fully pre-computed aggregations. The cube has four dimensions: time, product, customer, and channel. Each query user issues approximately 150 different queries. One query chain may ask for total sales in a particular region (e.g South America) for a particular time period (e.g. Q4 of 2010) followed by additional queries which drill down into sales for individual countries (e.g. Chile, Peru, etc.) with further queries drilling down into individual stores, etc. Another query chain may ask for yearly comparisons of total sales for some product category (e.g. major household appliances) and then issue further queries drilling down into particular products (e.g. refrigerators, stoves. etc.), particular regions, particular customers, etc. Results from version 2 of the benchmark are not comparable with version 1. The primary difference is the type of queries along with the query mix. Key Points and Best Practices Since typical BI users are often likely to issue similar queries, with different constants in the where clauses, setting the init.ora prameter "cursor_sharing" to "force" will provide for additional query throughput and a larger number of potential users. Except for this setting, together with making full use of available memory, out of the box performance for the OLAP Perf workload should provide results similar to what is reported here. For a given number of query users with zero think time, the main measured metrics are the average query response time, the median query response time, and the query throughput. A derived metric is the maximum number of users the system can support achieving the measured response time assuming some non-zero think time. The calculation of the maximum number of users follows from the well-known response-time law N = (rt + tt) * tp where rt is the average response time, tt is the think time and tp is the measured throughput. Setting tt to 60 seconds, rt to 0.85 seconds and tp to 119.44 queries/sec (430,000 queries/hour), the above formula shows that the T4-4 server will support 7,300 concurrent users with a think time of 60 seconds and an average response time of 0.85 seconds. For more information see chapter 3 from the book "Quantitative System Performance" cited below. -- See Also Quantitative System Performance Computer System Analysis Using Queueing Network Models Edward D. Lazowska, John Zahorjan, G. Scott Graham, Kenneth C. Sevcik external local Oracle Database 11g – Oracle OLAP oracle.com OTN SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 11/2/2012.

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  • ROracle support for TimesTen In-Memory Database

    - by Sam Drake
    Today's guest post comes from Jason Feldhaus, a Consulting Member of Technical Staff in the TimesTen Database organization at Oracle.  He shares with us a sample session using ROracle with the TimesTen In-Memory database.  Beginning in version 1.1-4, ROracle includes support for the Oracle Times Ten In-Memory Database, version 11.2.2. TimesTen is a relational database providing very fast and high throughput through its memory-centric architecture.  TimesTen is designed for low latency, high-volume data, and event and transaction management. A TimesTen database resides entirely in memory, so no disk I/O is required for transactions and query operations. TimesTen is used in applications requiring very fast and predictable response time, such as real-time financial services trading applications and large web applications. TimesTen can be used as the database of record or as a relational cache database to Oracle Database. ROracle provides an interface between R and the database, providing the rich functionality of the R statistical programming environment using the SQL query language. ROracle uses the OCI libraries to handle database connections, providing much better performance than standard ODBC.The latest ROracle enhancements include: Support for Oracle TimesTen In-Memory Database Support for Date-Time using R's POSIXct/POSIXlt data types RAW, BLOB and BFILE data type support Option to specify number of rows per fetch operation Option to prefetch LOB data Break support using Ctrl-C Statement caching support Times Ten 11.2.2 contains enhanced support for analytics workloads and complex queries: Analytic functions: AVG, SUM, COUNT, MAX, MIN, DENSE_RANK, RANK, ROW_NUMBER, FIRST_VALUE and LAST_VALUE Analytic clauses: OVER PARTITION BY and OVER ORDER BY Multidimensional grouping operators: Grouping clauses: GROUP BY CUBE, GROUP BY ROLLUP, GROUP BY GROUPING SETS Grouping functions: GROUP, GROUPING_ID, GROUP_ID WITH clause, which allows repeated references to a named subquery block Aggregate expressions over DISTINCT expressions General expressions that return a character string in the source or a pattern within the LIKE predicate Ability to order nulls first or last in a sort result (NULLS FIRST or NULLS LAST in the ORDER BY clause) Note: Some functionality is only available with Oracle Exalytics, refer to the TimesTen product licensing document for details. Connecting to TimesTen is easy with ROracle. Simply install and load the ROracle package and load the driver. > install.packages("ROracle") > library(ROracle) Loading required package: DBI > drv <- dbDriver("Oracle") Once the ROracle package is installed, create a database connection object and connect to a TimesTen direct driver DSN as the OS user. > conn <- dbConnect(drv, username ="", password="", dbname = "localhost/SampleDb_1122:timesten_direct") You have the option to report the server type - Oracle or TimesTen? > print (paste ("Server type =", dbGetInfo (conn)$serverType)) [1] "Server type = TimesTen IMDB" To create tables in the database using R data frame objects, use the function dbWriteTable. In the following example we write the built-in iris data frame to TimesTen. The iris data set is a small example data set containing 150 rows and 5 columns. We include it here not to highlight performance, but so users can easily run this example in their R session. > dbWriteTable (conn, "IRIS", iris, overwrite=TRUE, ora.number=FALSE) [1] TRUE Verify that the newly created IRIS table is available in the database. To list the available tables and table columns in the database, use dbListTables and dbListFields, respectively. > dbListTables (conn) [1] "IRIS" > dbListFields (conn, "IRIS") [1] "SEPAL.LENGTH" "SEPAL.WIDTH" "PETAL.LENGTH" "PETAL.WIDTH" "SPECIES" To retrieve a summary of the data from the database we need to save the results to a local object. The following call saves the results of the query as a local R object, iris.summary. The ROracle function dbGetQuery is used to execute an arbitrary SQL statement against the database. When connected to TimesTen, the SQL statement is processed completely within main memory for the fastest response time. > iris.summary <- dbGetQuery(conn, 'SELECT SPECIES, AVG ("SEPAL.LENGTH") AS AVG_SLENGTH, AVG ("SEPAL.WIDTH") AS AVG_SWIDTH, AVG ("PETAL.LENGTH") AS AVG_PLENGTH, AVG ("PETAL.WIDTH") AS AVG_PWIDTH FROM IRIS GROUP BY ROLLUP (SPECIES)') > iris.summary SPECIES AVG_SLENGTH AVG_SWIDTH AVG_PLENGTH AVG_PWIDTH 1 setosa 5.006000 3.428000 1.462 0.246000 2 versicolor 5.936000 2.770000 4.260 1.326000 3 virginica 6.588000 2.974000 5.552 2.026000 4 <NA> 5.843333 3.057333 3.758 1.199333 Finally, disconnect from the TimesTen Database. > dbCommit (conn) [1] TRUE > dbDisconnect (conn) [1] TRUE We encourage you download Oracle software for evaluation from the Oracle Technology Network. See these links for our software: Times Ten In-Memory Database,  ROracle.  As always, we welcome comments and questions on the TimesTen and  Oracle R technical forums.

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  • Part 1 - Load Testing In The Cloud

    - by Tarun Arora
    Azure is fascinating, but even more fascinating is the marriage of Azure and TFS! Introduction Recently a client I worked for had 2 major business critical applications being delivered, with very little time budgeted for Performance testing, we immediately hit a bottleneck when the performance testing phase started, the in house infrastructure team could not support the hardware requirements in the short notice. It was suggested that the performance testing be performed on one of the QA environments which was a fraction of the production environment. This didn’t seem right, the team decided to turn to the cloud. The team took advantage of the elasticity offered by Azure, starting with a single test agent which was provisioned and ready for use with in 30 minutes the team scaled up to 17 test agents to perform a very comprehensive performance testing cycle. Issues were identified and resolved but the highlight was that the cost of running the ‘test rig’ proved to be less than if hosted on premise by the infrastructure team. Thank you for taking the time out to read this blog post, in the series of posts, I’ll try and cover the start to end of everything you need to know to use Azure to build your Test Rig in the cloud. But Why Azure? I have my own Data Centre… If the environment is provisioned in your own datacentre, - No matter what level of service agreement you may have with your infrastructure team there will be down time when the environment is patched - How fast can you scale up or down the environments (keeping the enterprise processes in mind) Administration, Cost, Flexibility and Scalability are the areas you would want to think around when taking the decision between your own Data Centre and Azure! How is Microsoft's Public Cloud Offering different from Amazon’s Public Cloud Offering? Microsoft's offering of the Cloud is a hybrid of Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) which distinguishes Microsoft's offering from other providers such as Amazon (Amazon only offers IaaS). PaaS – Platform as a Service IaaS – Infrastructure as a Service Fills the needs of those who want to build and run custom applications as services. Similar to traditional hosting, where a business will use the hosted environment as a logical extension of the on-premises datacentre. A service provider offers a pre-configured, virtualized application server environment to which applications can be deployed by the development staff. Since the service providers manage the hardware (patching, upgrades and so forth), as well as application server uptime, the involvement of IT pros is minimized. On-demand scalability combined with hardware and application server management relieves developers from infrastructure concerns and allows them to focus on building applications. The servers (physical and virtual) are rented on an as-needed basis, and the IT professionals who manage the infrastructure have full control of the software configuration. This kind of flexibility increases the complexity of the IT environment, as customer IT professionals need to maintain the servers as though they are on-premises. The maintenance activities may include patching and upgrades of the OS and the application server, load balancing, failover clustering of database servers, backup and restoration, and any other activities that mitigate the risks of hardware and software failures.   The biggest advantage with PaaS is that you do not have to worry about maintaining the environment, you can focus all your time in solving the business problems with your solution rather than worrying about maintaining the environment. If you decide to use a VM Role on Azure, you are asking for IaaS, more on this later. A nice blog post here on the difference between Saas, PaaS and IaaS. Now that we are convinced why we should be turning to the cloud and why in specific Azure, let’s discuss about the Test Rig. The Load Test Rig – Topology Now the moment of truth, Of course a big part of getting value from cloud computing is identifying the most adequate workloads to take to the cloud, so I’ve decided to try to make a Load Testing rig where the Agents are running on Windows Azure.   I’ll talk you through the above Topology, - User: User kick starts the load test run from the developer workstation on premise. This passes the request to the Test Controller. - Test Controller: The Test Controller is on premise connected to the same domain as the developer workstation. As soon as the Test Controller receives the request it makes use of the Windows Azure Connect service to orchestrate the test responsibilities to all the Test Agents. The Windows Azure Connect endpoint software must be active on all Azure instances and on the Controller machine as well. This allows IP connectivity between them and, given that the firewall is properly configured, allows the Controller to send work loads to the agents. In parallel, the Controller will collect the performance data from the agents, using the traditional WMI mechanisms. - Test Agents: The Test Agents are on the Windows Azure Public Cloud, as soon as the test controller issues instructions to the test agents, the test agents start executing the load tests. The HTTP requests are issued against the web server on premise, the results are captured by the test agents. And finally the results are passed over to the controller. - Servers: The Web Server and DB Server are hosted on premise in the datacentre, this is usually the case with business critical applications, you probably want to manage them your self. Recap and What’s next? So, in the introduction in the series of blog posts on Load Testing in the cloud I highlighted why creating a test rig in the cloud is a good idea, what advantages does Windows Azure offer and the Test Rig topology that I will be using. I would also like to mention that i stumbled upon this [Video] on Azure in a nutshell, great watch if you are new to Windows Azure. In the next post I intend to start setting up the Load Test Environment and discuss pricing with respect to test agent machine types that will be used in the test rig. Hope you enjoyed this post, If you have any recommendations on things that I should consider or any questions or feedback, feel free to add to this blog post. Remember to subscribe to http://feeds.feedburner.com/TarunArora.  See you in Part II.   Share this post : CodeProject

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  • Which of these algorithms is best for my goal?

    - by JonathonG
    I have created a program that restricts the mouse to a certain region based on a black/white bitmap. The program is 100% functional as-is, but uses an inaccurate, albeit fast, algorithm for repositioning the mouse when it strays outside the area. Currently, when the mouse moves outside the area, basically what happens is this: A line is drawn between a pre-defined static point inside the region and the mouse's new position. The point where that line intersects the edge of the allowed area is found. The mouse is moved to that point. This works, but only works perfectly for a perfect circle with the pre-defined point set in the exact center. Unfortunately, this will never be the case. The application will be used with a variety of rectangles and irregular, amorphous shapes. On such shapes, the point where the line drawn intersects the edge will usually not be the closest point on the shape to the mouse. I need to create a new algorithm that finds the closest point to the mouse's new position on the edge of the allowed area. I have several ideas about this, but I am not sure of their validity, in that they may have far too much overhead. While I am not asking for code, it might help to know that I am using Objective C / Cocoa, developing for OS X, as I feel the language being used might affect the efficiency of potential methods. My ideas are: Using a bit of trigonometry to project lines would work, but that would require some kind of intense algorithm to test every point on every line until it found the edge of the region... That seems too resource intensive since there could be something like 200 lines that would have each have to have as many as 200 pixels checked for black/white.... Using something like an A* pathing algorithm to find the shortest path to a black pixel; however, A* seems resource intensive, even though I could probably restrict it to only checking roughly in one direction. It also seems like it will take more time and effort than I have available to spend on this small portion of the much larger project I am working on, correct me if I am wrong and it would not be a significant amount of code (100 lines or around there). Mapping the border of the region before the application begins running the event tap loop. I think I could accomplish this by using my current line-based algorithm to find an edge point and then initiating an algorithm that checks all 8 pixels around that pixel, finds the next border pixel in one direction, and continues to do this until it comes back to the starting pixel. I could then store that data in an array to be used for the entire duration of the program, and have the mouse re-positioning method check the array for the closest pixel on the border to the mouse target position. That last method would presumably execute it's initial border mapping fairly quickly. (It would only have to map between 2,000 and 8,000 pixels, which means 8,000 to 64,000 checked, and I could even permanently store the data to make launching faster.) However, I am uncertain as to how much overhead it would take to scan through that array for the shortest distance for every single mouse move event... I suppose there could be a shortcut to restrict the number of elements in the array that will be checked to a variable number starting with the intersecting point on the line (from my original algorithm), and raise/lower that number to experiment with the overhead/accuracy tradeoff. Please let me know if I am over thinking this and there is an easier way that will work just fine, or which of these methods would be able to execute something like 30 times per second to keep mouse movement smooth, or if you have a better/faster method. I've posted relevant parts of my code below for reference, and included an example of what the area might look like. (I check for color value against a loaded bitmap that is black/white.) // // This part of my code runs every single time the mouse moves. // CGPoint point = CGEventGetLocation(event); float tX = point.x; float tY = point.y; if( is_in_area(tX,tY, mouse_mask)){ // target is inside O.K. area, do nothing }else{ CGPoint target; //point inside restricted region: float iX = 600; // inside x float iY = 500; // inside y // delta to midpoint between iX,iY and tX,tY float dX; float dY; float accuracy = .5; //accuracy to loop until reached do { dX = (tX-iX)/2; dY = (tY-iY)/2; if(is_in_area((tX-dX),(tY-dY),mouse_mask)){ iX += dX; iY += dY; } else { tX -= dX; tY -= dY; } } while (abs(dX)>accuracy || abs(dY)>accuracy); target = CGPointMake(roundf(tX), roundf(tY)); CGDisplayMoveCursorToPoint(CGMainDisplayID(),target); } Here is "is_in_area(int x, int y)" : bool is_in_area(NSInteger x, NSInteger y, NSBitmapImageRep *mouse_mask){ NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init]; NSUInteger pixel[4]; [mouse_mask getPixel:pixel atX:x y:y]; if(pixel[0]!= 0){ [pool release]; return false; } [pool release]; return true; }

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  • What to do after a servicing fails on TFS 2010

    - by Martin Hinshelwood
    What do you do if you run a couple of hotfixes against your TFS 2010 server and you start to see seem odd behaviour? A customer of mine encountered that very problem, but they could not just, or at least not easily, go back a version.   You see, around the time of the TFS 2010 launch this company decided to upgrade their entire 250+ development team from TFS 2008 to TFS 2010. They encountered a few problems, owing mainly to the size of their TFS deployment, and the way they were using TFS. They were not doing anything wrong, but when you have the largest deployment of TFS outside of Microsoft you tend to run into problems that most people will never encounter. We are talking half a terabyte of source control in TFS with over 80 proxy servers. Its certainly the largest deployment I have ever heard of. When they did their upgrade way back in April, they found two major flaws in the product that meant that they had to back out of the upgrade and wait for a couple of hotfixes. KB983504 – Hotfix KB983578 – Patch KB2401992 -Hotfix In the time since they got the hotfixes they have run 6 successful trial migrations, but we are not talking minutes or hours here. When you have 400+ GB of data it takes time to copy it around. It takes time to do the upgrade and it takes time to do a backup. Well, last week it was crunch time with their developers off for Christmas they had a window of opportunity to complete the upgrade. Now these guys are good, but they wanted Northwest Cadence to be available “just in case”. They did not expect any problems as they already had 6 successful trial upgrades. The problems surfaced around 20 hours in after the first set of hotfixes had been applied. The new Team Project Collection, the only thing of importance, had disappeared from the Team Foundation Server Administration console. The collection would not reattach either. It would not even list the new collection as attachable! Figure: We know there is a database there, but it does not This was a dire situation as 20+ hours to repeat would leave the customer over time with 250+ developers sitting around doing nothing. We tried everything, and then we stumbled upon the command of last resort. TFSConfig Recover /ConfigurationDB:SQLServer\InstanceName;TFS_ConfigurationDBName /CollectionDB:SQLServer\instanceName;"Collection Name" -http://msdn.microsoft.com/en-us/library/ff407077.aspx WARNING: Never run this command! Now this command does something a little nasty. It assumes that there really should not be anything wrong and sets about fixing it. It ignores any servicing levels in the Team Project Collection database and forcibly applies the latest version of the schema. I am sure you can imagine the types of problems this may cause when the schema is updated leaving the data behind. That said, as far as we could see this collection looked good, and we were even able to find and attach the team project collection to the Configuration database. Figure: After attaching the TPC it enters a servicing mode After reattaching the team project collection we found the message “Re-Attaching”. Well, fair enough that sounds like something that may need to happen, and after checking that there was disk IO we left it to it. 14+ hours later, it was still not done so the customer raised a priority support call with MSFT and an engineer helped them out. Figure: Everything looks good, it is just offline. Tip: Did you know that these logs are not represented in the ~/Logs/* folder until they are opened once? The engineer dug around a bit and listened to our situation. He knew that we had run the dreaded “tfsconfig restore”, but was not phased. Figure: This message looks suspiciously like the wrong servicing version As it turns out, the servicing version was slightly out of sync with the schema. KB Schema Successful           KB983504 341 Yes   KB983578 344 sort of   KB2401992 360 nope   Figure: KB, Schema table with notation to its success The Schema version above represents the final end of run version for that hotfix or patch. The only way forward The problem was that the version was somewhere between 341 and 344. This is not a nice place to be in and the engineer give us the  only way forward as the removal of the servicing number from the database so that the re-attach process would apply the latest schema. if his sounds a little like the “tfsconfig recover” command then you are exactly right. Figure: Sneakily changing that 3 to a 1 should do the trick Figure: Changing the status and dropping the version should do it Now that we have done that we should be able to safely reattach and enable the Team Project Collection. Figure: The TPC is now all attached and running You may think that this is the end of the story, but it is not. After a while of mulling and seeking expert advice we came to the opinion that the database was, for want of a better term, “hosed”. There could well be orphaned data in there and the likelihood that we would have problems later down the line is pretty high. We contacted the customer back and made them aware that in all likelihood the repaired database was more like a “cut and shut” than anything else, and at the first sign of trouble later down the line was likely to split in two. So with 40+ hours invested in getting this new database ready the customer threw it away and started again. What would you do? Would you take the “cut and shut” to production and hope for the best?

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  • yield – Just yet another sexy c# keyword?

    - by George Mamaladze
    yield (see NSDN c# reference) operator came I guess with .NET 2.0 and I my feeling is that it’s not as wide used as it could (or should) be.   I am not going to talk here about necessarity and advantages of using iterator pattern when accessing custom sequences (just google it).   Let’s look at it from the clean code point of view. Let's see if it really helps us to keep our code understandable, reusable and testable.   Let’s say we want to iterate a tree and do something with it’s nodes, for instance calculate a sum of their values. So the most elegant way would be to build a recursive method performing a classic depth traversal returning the sum.           private int CalculateTreeSum(Node top)         {             int sumOfChildNodes = 0;             foreach (Node childNode in top.ChildNodes)             {                 sumOfChildNodes += CalculateTreeSum(childNode);             }             return top.Value + sumOfChildNodes;         }     “Do One Thing” Nevertheless it violates one of the most important rules “Do One Thing”. Our  method CalculateTreeSum does two things at the same time. It travels inside the tree and performs some computation – in this case calculates sum. Doing two things in one method is definitely a bad thing because of several reasons: ·          Understandability: Readability / refactoring ·          Reuseability: when overriding - no chance to override computation without copying iteration code and vice versa. ·          Testability: you are not able to test computation without constructing the tree and you are not able to test correctness of tree iteration.   I want to spend some more words on this last issue. How do you test the method CalculateTreeSum when it contains two in one: computation & iteration? The only chance is to construct a test tree and assert the result of the method call, in our case the sum against our expectation. And if the test fails you do not know wether was the computation algorithm wrong or was that the iteration? At the end to top it all off I tell you: according to Murphy’s Law the iteration will have a bug as well as the calculation. Both bugs in a combination will cause the sum to be accidentally exactly the same you expect and the test will PASS. J   Ok let’s use yield! That’s why it is generally a very good idea not to mix but isolate “things”. Ok let’s use yield!           private int CalculateTreeSumClean(Node top)         {             IEnumerable<Node> treeNodes = GetTreeNodes(top);             return CalculateSum(treeNodes);         }             private int CalculateSum(IEnumerable<Node> nodes)         {             int sumOfNodes = 0;             foreach (Node node in nodes)             {                 sumOfNodes += node.Value;             }             return sumOfNodes;         }           private IEnumerable<Node> GetTreeNodes(Node top)         {             yield return top;             foreach (Node childNode in top.ChildNodes)             {                 foreach (Node currentNode in GetTreeNodes(childNode))                 {                     yield return currentNode;                 }             }         }   Two methods does not know anything about each other. One contains calculation logic another jut the iteration logic. You can relpace the tree iteration algorithm from depth traversal to breath trevaersal or use stack or visitor pattern instead of recursion. This will not influence your calculation logic. And vice versa you can relace the sum with product or do whatever you want with node values, the calculateion algorithm is not aware of beeng working on some tree or graph.  How about not using yield? Now let’s ask the question – what if we do not have yield operator? The brief look at the generated code gives us an answer. The compiler generates a 150 lines long class to implement the iteration logic.       [CompilerGenerated]     private sealed class <GetTreeNodes>d__0 : IEnumerable<Node>, IEnumerable, IEnumerator<Node>, IEnumerator, IDisposable     {         ...        150 Lines of generated code        ...     }   Often we compromise code readability, cleanness, testability, etc. – to reduce number of classes, code lines, keystrokes and mouse clicks. This is the human nature - we are lazy. Knowing and using such a sexy construct like yield, allows us to be lazy, write very few lines of code and at the same time stay clean and do one thing in a method. That's why I generally welcome using staff like that.   Note: The above used recursive depth traversal algorithm is possibly the compact one but not the best one from the performance and memory utilization point of view. It was taken to emphasize on other primary aspects of this post.

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  • To My 24 Year Old Self, Wherever You Are&hellip;

    - by D'Arcy Lussier
    A decade is a milestone in one’s life, regardless of when it occurs. 2011 might seem like a weird year to mark a decade, but 2001 was a defining year for me. It marked my emergence into the technology industry, an unexpected loss of innocence, and triggered an ongoing struggle with faith and belief. Once you go through a valley, climbing the mountain and looking back over where you travelled, you can take in the entirety of the journey. Over the last 10 years I kept journals, and in this new year I took some time to review them. For those today that are me a decade ago, I share with you what I’ve gleamed from my experiences. Take it for what it’s worth, and safe travels on your own journeys through life. Life is a Performance-Based Sport Have confidence, believe you’re capable, but realize that life is a performance-based sport. Everything you get in life is based on whether you can show that you deserve it. Performance is also your best defense against personal attacks. Just make sure you know what standards you’re expected to hit and if people want to poke holes at you let them do the work of trying to find them. Sometimes performance won’t matter though. Good things will happen to bad people, and bad things to good people. What’s important is that you do the right things and ensure the good and bad even out in your own life. How you finish is just as important as how you start. Start strong, end strong. Respect is Your Most Prized Reward Respect is more important than status or ego. The formula is simple: Performing Well + Building Trust + Showing Dedication = Respect Focus on perfecting your craft and helping your team and respect will come. Life is a Team Sport Whatever aspect of your life, you can’t do it alone. You need to rely on the people around you and ensure you’re a positive aspect of their lives; even those that may be difficult or unpleasant. Avoid criticism and instead find ways to help colleagues and superiors better whatever environment you’re in (work, home, etc.). Don’t just highlight gaps and issues, but also come to the table with solutions. At the same time though, stand up for yourself and hold others accountable for the commitments they make to the team. A healthy team needs accountability. Give feedback early and often, and make it verbal. Issues should be dealt with immediately, and positives should be celebrated as they happen. Life is a Contact Sport Difficult moments will happen. Don’t run from them or shield yourself from experiencing them. Embrace them. They will further mold you and reveal who you will become. Find Your Tribe and Embrace Your Community We all need a tribe: a group of people that we gravitate to for support, guidance, wisdom, and friendship. Discover your tribe and immerse yourself in them. Don’t look for a non-existent tribe just to fill the need of belonging though that will leave you empty and bitter when they don’t meet your unrealistic expectations. Try to associate with people more experienced and more knowledgeable than you. You’ll always learn, and you’ll always remember you have much to learn. Put yourself out there, get involved with the community. Opportunities will present themselves. When we open ourselves up to be vulnerable, we also give others the chance to do the same. This helps us all to grow and help each other, it’s very important. And listen to your wife. (Easter *is* a romantic holiday btw, regardless of what you may think.) Don’t Believe Your Own Press Clippings (and by that I mean the ones you write) Until you have a track record of performance to refer to, any notions of grandeur are just that: notions. You lose your rookie status through trials and tribulations, not by the number of stamps in your passport. Be realistic about your own “experience and leadership” and be honest when you aren’t ready for something. And always remember: nobody really cares about you as much as you think they do. Don’t Let Assholes Get You Down The world isn’t evil, but there is evil in the world. Know the difference and don’t paint all people with the same brush. Do be wary of those that use personal beliefs to describe their business (i.e. “We’re a [religion] company”). What matters is the culture of the organization, and that will tell you the moral compass and what is truly valued. Don’t make someone or something a priority that only makes you an option. Life is unfair and enemies/opponents will succeed when you fail. Don’t waste your energy getting upset at this; the only one that will lose out is you. As mentioned earlier, nobody really cares about you as much as you think they do. Misc Ecclesiastes is bullshit. Everything is certainly *not* meaningless. Software development is about delivery, not the process. Having a great process means nothing if you don’t produce anything. Watch “The Weatherman” (“It’s not easy, but easy doesn’t enter into grownup life.”). Read Tony Dungee’s autobiography, even if you don’t like football, and even if you aren’t a Christian. Say no, don’t feel like you have to commit right away when someone asks you to.

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  • Example: Controlling randomizer using code contracts

    - by DigiMortal
    One cool addition to Visual Studio 2010 is support for code contracts. Code contracts make sure that all conditions under what method is supposed to run correctly are met. Those who are familiar with unit tests will find code contracts easy to use. In this posting I will show you simple example about static contract checking (example solution is included). To try out code contracts you need at least Visual Studio 2010 Standard Edition. Also you need code contracts package. You can download package from DevLabs Code Contracts page. NB! Speakers, you can use the example solution in your presentations as long as you mention me and this blog in your sessions. Solution has readme.txt file that gives you steps to go through when presenting solution in sessions. This blog posting is companion posting for Visual Studio solution referred below. As an example let’s look at the following class. public class Randomizer {     public static int GetRandomFromRange(int min, int max)     {         var rnd = new Random();         return rnd.Next(min, max);     }       public static int GetRandomFromRangeContracted(int min, int max)     {         Contract.Requires(min < max, "Min must be less than max");           var rnd = new Random();         return rnd.Next(min, max);     } } GetRandomFromRange() method returns results without any checking. GetRandomFromRangeContracted() uses one code contract that makes sure that minimum value is less than maximum value. Now let’s run the following code. class Program {     static void Main(string[] args)     {         var random1 = Randomizer.GetRandomFromRange(0, 9);         Console.WriteLine("Random 1: " + random1);           var random2 = Randomizer.GetRandomFromRange(1, 1);         Console.WriteLine("Random 2: " + random2);           var random3 = Randomizer.GetRandomFromRangeContracted(5, 5);         Console.WriteLine("Random 3: " + random3);           Console.WriteLine(" ");         Console.WriteLine("Press any key to exit ...");         Console.ReadKey();     } } As we have not turned on support for code contracts the code runs without any problems and we get no warnings by Visual Studio that something is wrong. Now let’s turn on static checking for code contracts. As you can see then code still compiles without any errors but Visual Studio warns you about possible problems with contracts. Click on image to see it at original size.  When we open Error list and run our application we get the following output to errors list. Note that these messages are not shown immediately. There is little delay between application starting and appearance of these messages. So wait couple of seconds before going out of your mind. Click on image to see it at original size.  If you look at these warnings you can see that warnings show you illegal calls and also contracts against what they are going. Third warning points to GetRandomFromRange() method and shows that there should be also problem that can be detected by contract. Download Code Contracts example VS2010 solution | 30KB

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  • MERGE gives better OUTPUT options

    - by Rob Farley
    MERGE is very cool. There are a ton of useful things about it – mostly around the fact that you can implement a ton of change against a table all at once. This is great for data warehousing, handling changes made to relational databases by applications, all kinds of things. One of the more subtle things about MERGE is the power of the OUTPUT clause. Useful for logging.   If you’re not familiar with the OUTPUT clause, you really should be – it basically makes your DML (INSERT/DELETE/UPDATE/MERGE) statement return data back to you. This is a great way of returning identity values from INSERT commands (so much better than SCOPE_IDENTITY() or the older (and worse) @@IDENTITY, because you can get lots of rows back). You can even use it to grab default values that are set using non-deterministic functions like NEWID() – things you couldn’t normally get back without running another query (or with a trigger, I guess, but that’s not pretty). That inserted table I referenced – that’s part of the ‘behind-the-scenes’ work that goes on with all DML changes. When you insert data, this internal table called inserted gets populated with rows, and then used to inflict the appropriate inserts on the various structures that store data (HoBTs – the Heaps or B-Trees used to store data as tables and indexes). When deleting, the deleted table gets populated. Updates get a matching row in both tables (although this doesn’t mean that an update is a delete followed by an inserted, it’s just the way it’s handled with these tables). These tables can be referenced by the OUTPUT clause, which can show you the before and after for any DML statement. Useful stuff. MERGE is slightly different though. With MERGE, you get a mix of entries. Your MERGE statement might be doing some INSERTs, some UPDATEs and some DELETEs. One of the most common examples of MERGE is to perform an UPSERT command, where data is updated if it already exists, or inserted if it’s new. And in a single operation too. Here, you can see the usefulness of the deleted and inserted tables, which clearly reflect the type of operation (but then again, MERGE lets you use an extra column called $action to show this). (Don’t worry about the fact that I turned on IDENTITY_INSERT, that’s just so that I could insert the values) One of the things I love about MERGE is that it feels almost cursor-like – the UPDATE bit feels like “WHERE CURRENT OF …”, and the INSERT bit feels like a single-row insert. And it is – but into the inserted and deleted tables. The operations to maintain the HoBTs are still done using the whole set of changes, which is very cool. And $action – very convenient. But as cool as $action is, that’s not the point of my post. If it were, I hope you’d all be disappointed, as you can’t really go near the MERGE statement without learning about it. The subtle thing that I love about MERGE with OUTPUT is that you can hook into more than just inserted and deleted. Did you notice in my earlier query that my source table had a ‘src’ field, that wasn’t used in the insert? Normally, this would be somewhat pointless to include in my source query. But with MERGE, I can put that in the OUTPUT clause. This is useful stuff, particularly when you’re needing to audit the changes. Suppose your query involved consolidating data from a number of sources, but you didn’t need to insert that into the actual table, just into a table for audit. This is now very doable, either using the INTO clause of OUTPUT, or surrounding the whole MERGE statement in brackets (parentheses if you’re American) and using a regular INSERT statement. This is also doable if you’re using MERGE to just do INSERTs. In case you hadn’t realised, you can use MERGE in place of an INSERT statement. It’s just like the UPSERT-style statement we’ve just seen, except that we want nothing to match. That’s easy to do, we just use ON 1=2. This is obviously more convoluted than a straight INSERT. And it’s slightly more effort for the database engine too. But, if you want the extra audit capabilities, the ability to hook into the other source columns is definitely useful. Oh, and before people ask if you can also hook into the target table’s columns... Yes, of course. That’s what deleted and inserted give you.

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  • Black Screen: How to set Projection/View Matrix

    - by Lisa
    I have a Windows Phone 8 C#/XAML with DirectX component project. I'm rendering some particles, but each particle is a rectangle versus a square (as I've set the vertices to be positions equally offset from each other). I used an Identity matrix in the view and projection matrix. I decided to add the windows aspect ratio to prevent the rectangles. But now I get a black screen. None of the particles are rendered now. I don't know what's wrong with my matrices. Can anyone see the problem? These are the default matrices in Microsoft's project example. View Matrix: XMVECTOR eye = XMVectorSet(0.0f, 0.7f, 1.5f, 0.0f); XMVECTOR at = XMVectorSet(0.0f, -0.1f, 0.0f, 0.0f); XMVECTOR up = XMVectorSet(0.0f, 1.0f, 0.0f, 0.0f); XMStoreFloat4x4(&m_constantBufferData.view, XMMatrixTranspose(XMMatrixLookAtRH(eye, at, up))); Projection Matrix: void CubeRenderer::CreateWindowSizeDependentResources() { Direct3DBase::CreateWindowSizeDependentResources(); float aspectRatio = m_windowBounds.Width / m_windowBounds.Height; float fovAngleY = 70.0f * XM_PI / 180.0f; if (aspectRatio < 1.0f) { fovAngleY /= aspectRatio; } XMStoreFloat4x4(&m_constantBufferData.projection, XMMatrixTranspose(XMMatrixPerspectiveFovRH(fovAngleY, aspectRatio, 0.01f, 100.0f))); } I've tried modifying them to use cocos2dx's WP8 example. XMMATRIX identityMatrix = XMMatrixIdentity(); float fovy = 60.0f; float aspect = m_windowBounds.Width / m_windowBounds.Height; float zNear = 0.1f; float zFar = 100.0f; float xmin, xmax, ymin, ymax; ymax = zNear * tanf(fovy * XM_PI / 360); ymin = -ymax; xmin = ymin * aspect; xmax = ymax * aspect; XMMATRIX tmpMatrix = XMMatrixPerspectiveOffCenterRH(xmin, xmax, ymin, ymax, zNear, zFar); XMMATRIX projectionMatrix = XMMatrixMultiply(tmpMatrix, identityMatrix); // View Matrix float fEyeX = m_windowBounds.Width * 0.5f; float fEyeY = m_windowBounds.Height * 0.5f; float fEyeZ = m_windowBounds.Height / 1.1566f; float fLookAtX = m_windowBounds.Width * 0.5f; float fLookAtY = m_windowBounds.Height * 0.5f; float fLookAtZ = 0.0f; float fUpX = 0.0f; float fUpY = 1.0f; float fUpZ = 0.0f; XMMATRIX tmpMatrix2 = XMMatrixLookAtRH(XMVectorSet(fEyeX,fEyeY,fEyeZ,0.f), XMVectorSet(fLookAtX,fLookAtY,fLookAtZ,0.f), XMVectorSet(fUpX,fUpY,fUpZ,0.f)); XMMATRIX viewMatrix = XMMatrixMultiply(tmpMatrix2, identityMatrix); XMStoreFloat4x4(&m_constantBufferData.view, viewMatrix); Vertex Shader cbuffer ModelViewProjectionConstantBuffer : register(b0) { //matrix model; matrix view; matrix projection; }; struct VertexInputType { float4 position : POSITION; float2 tex : TEXCOORD0; float4 color : COLOR; }; struct PixelInputType { float4 position : SV_POSITION; float2 tex : TEXCOORD0; float4 color : COLOR; }; PixelInputType main(VertexInputType input) { PixelInputType output; // Change the position vector to be 4 units for proper matrix calculations. input.position.w = 1.0f; //===================================== // TODO: ADDED for testing input.position.z = 0.0f; //===================================== // Calculate the position of the vertex against the world, view, and projection matrices. //output.position = mul(input.position, model); output.position = mul(input.position, view); output.position = mul(output.position, projection); // Store the texture coordinates for the pixel shader. output.tex = input.tex; // Store the particle color for the pixel shader. output.color = input.color; return output; } Before I render the shader, I set the view/projection matrices into the constant buffer void ParticleRenderer::SetShaderParameters() { ViewProjectionConstantBuffer* dataPtr; D3D11_MAPPED_SUBRESOURCE mappedResource; DX::ThrowIfFailed(m_d3dContext->Map(m_constantBuffer.Get(), 0, D3D11_MAP_WRITE_DISCARD, 0, &mappedResource)); dataPtr = (ViewProjectionConstantBuffer*)mappedResource.pData; dataPtr->view = m_constantBufferData.view; dataPtr->projection = m_constantBufferData.projection; m_d3dContext->Unmap(m_constantBuffer.Get(), 0); // Now set the constant buffer in the vertex shader with the updated values. m_d3dContext->VSSetConstantBuffers(0, 1, m_constantBuffer.GetAddressOf() ); // Set shader texture resource in the pixel shader. m_d3dContext->PSSetShaderResources(0, 1, &m_textureView); } Nothing, black screen... I tried so many different look at, eye, and up vectors. I tried transposing the matrices. I've set the particle center position to always be (0, 0, 0), I tried different positions too, just to make sure they're not being rendered offscreen.

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  • Oracle Enterprise Manager Cloud Control 12c Release 2 (12.1.0.2) is Available Now !

    - by Anand Akela
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} Oracle today announced the availability of Oracle Enterprise Manager Cloud Control 12c Release 2 (12.1.0.2). It is now available for download on OTN on ALL platforms. This is the first major release since the launch of Enterprise Manager 12c in October of 2011. This is the first time when Enterprise Manager release is available on all platforms simultaneously. This is primarily a stability release which incorporates many of issues and feedback reported by early adopters. In addition, this release contains many new features and enhancements in areas across the board. New Capabilities and Features Enhanced management capabilities for enterprise private clouds: Introduces new capabilities to allow customers to build and manage a Java Platform-as-a-Service (PaaS) cloud based on Oracle Weblogic Server. The new capabilities include guided set up of PaaS Cloud, self-service provisioning, automatic scale out and metering and chargeback. Enhanced lifecycle management capabilities for Oracle WebLogic Server environments: Combining in-context multiple domain, patching and configuration file synchronizations. Integrated Hardware-Software management for Oracle Exalogic Elastic Cloud through features such as rack schematics visualization and integrated monitoring of all hardware and software components. The latest management capabilities for business-critical applications include: Business Application Management: A new Business Application (BA) target type and dashboard with flexible definitions provides a logical view of an application’s business transactions, end-user experiences and the cloud infrastructure the monitored application is running on. Enhanced User Experience Reporting: Oracle Real User Experience Insight has been enhanced to provide reporting capabilities on client-side issues for applications running in the cloud and has been more tightly coupled with Oracle Business Transaction Management to help ensure that real-time user experience and transaction tracing data is provided to users in context. Several key improvements address ease of administration, reporting and extensibility for massively scalable cloud environments including dynamic groups, self-updateable monitoring templates, bulk operations against many events, etc. New and Revised Plug-Ins: Several plug-Ins have been updated as a part of this release resulting in either new versions or revisions. Revised plug-ins contain only bug-fixes and while new plug-ins incorporate both bug fixes as well as new functionality. Plug-In Name Version Enterprise Manager for Oracle Database 12.1.0.2 (revision) Enterprise Manager for Oracle Fusion Middleware 12.1.0.3 (new) Enterprise Manager for Chargeback and Capacity Planning 12.1.0.3 (new) Enterprise Manager for Oracle Fusion Applications 12.1.0.3 (new) Enterprise Manager for Oracle Virtualization 12.1.0.3 (new) Enterprise Manager for Oracle Exadata 12.1.0.3 (new) Enterprise Manager for Oracle Cloud 12.1.0.4 (new) Installation and Upgrade: All major platforms have been released simultaneously (Linux 32 / 64 bit, Solaris (SPARC), Solaris x86-64, IBM AIX 64-bit, and Windows x86-64 (64-bit) ) Enterprise Manager 12.1.0.2 is a complete release that includes both the EM OMS and Agent versions of 12.1.0.2. Installation options available with EM 12.1.0.2: User can do fresh Install or an upgrade from versions EM 10.2.0.5, 11.1, or 12.1.0.2 ( Bundle Patch 1 not mandatory). Upgrading to EM 12.1.0.2 from EM 12.1.0.1 is not a patch application (similar to Bundle Patch 1) but is achieved through a 1-system upgrade. Documentation: Oracle Enterprise Manager Cloud Control Introduction Document provides a broad overview of capabilities and highlights"What's New" in EM 12.1.0.2. All updated Oracle Enterprise Manager documentation can be found on OTN Upgrade Guide Please feel free to ask questions related to the new Oracle Enterprise Manager Cloud Control 12c Release 2 (12.1.0.2) at the Oracle Enterprise Manager Forum . You could also share your feedback at twitter  using hash tag #em12c or at Facebook . Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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