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  • Rain effect using DirectX 9 capabilities

    - by teodron
    Is it possible to achieve something similar to nVidia's rain demo using only shader model 3.0 capabilities? If yes, could you point out a few documents/web resources that are suitable candidates and do not require a heavy programming load (e.g. not more than two hard weeks of programming for one single person)? It would be nice if the answer could also contain a pro/con phrase for the proposed idea (e.g. postprocessing rain shader vs. a particle based effect).

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  • Find Nearest Object

    - by ultifinitus
    I have a fairly sizable game engine created, and I'm adding some needed features, such as this, how do I find the nearest object from a list of points? In this case, I could simply use the Pythagorean theorem to find the distance, and check the results. I know I can't simply add x and y, because that's the distance to the object, if you only took right angle turns. However I'm wondering if there's something else I could do? I also have a collision system, where essentially I turn objects into smaller objects on a smaller grid, kind of like a minimap, and only if objects exist in the same gridspace do I check for collisions, I could do the same thing, only make the gridspace larger to check for closeness. (rather than checking every. single. object) however that would take additional setup in my base class and clutter up the already cluttered object. TL;DR Question: Is there something efficient and accurate that I can use to detect which object is closest, based on a list of points and sizes?

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  • NoSQL Memcached API for MySQL: Latest Updates

    - by Mat Keep
    With data volumes exploding, it is vital to be able to ingest and query data at high speed. For this reason, MySQL has implemented NoSQL interfaces directly to the InnoDB and MySQL Cluster (NDB) storage engines, which bypass the SQL layer completely. Without SQL parsing and optimization, Key-Value data can be written directly to MySQL tables up to 9x faster, while maintaining ACID guarantees. In addition, users can continue to run complex queries with SQL across the same data set, providing real-time analytics to the business or anonymizing sensitive data before loading to big data platforms such as Hadoop, while still maintaining all of the advantages of their existing relational database infrastructure. This and more is discussed in the latest Guide to MySQL and NoSQL where you can learn more about using the APIs to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database The native Memcached API is part of the MySQL 5.6 Release Candidate, and is already available in the GA release of MySQL Cluster. By using the ubiquitous Memcached API for writing and reading data, developers can preserve their investments in Memcached infrastructure by re-using existing Memcached clients, while also eliminating the need for application changes. Speed, when combined with flexibility, is essential in the world of growing data volumes and variability. Complementing NoSQL access, support for on-line DDL (Data Definition Language) operations in MySQL 5.6 and MySQL Cluster enables DevOps teams to dynamically update their database schema to accommodate rapidly changing requirements, such as the need to capture additional data generated by their applications. These changes can be made without database downtime. Using the Memcached interface, developers do not need to define a schema at all when using MySQL Cluster. Lets look a little more closely at the Memcached implementations for both InnoDB and MySQL Cluster. Memcached Implementation for InnoDB The Memcached API for InnoDB is previewed as part of the MySQL 5.6 Release Candidate. As illustrated in the following figure, Memcached for InnoDB is implemented via a Memcached daemon plug-in to the mysqld process, with the Memcached protocol mapped to the native InnoDB API. Figure 1: Memcached API Implementation for InnoDB With the Memcached daemon running in the same process space, users get very low latency access to their data while also leveraging the scalability enhancements delivered with InnoDB and a simple deployment and management model. Multiple web / application servers can remotely access the Memcached / InnoDB server to get direct access to a shared data set. With simultaneous SQL access, users can maintain all the advanced functionality offered by InnoDB including support for Foreign Keys, XA transactions and complex JOIN operations. Benchmarks demonstrate that the NoSQL Memcached API for InnoDB delivers up to 9x higher performance than the SQL interface when inserting new key/value pairs, with a single low-end commodity server supporting nearly 70,000 Transactions per Second. Figure 2: Over 9x Faster INSERT Operations The delivered performance demonstrates MySQL with the native Memcached NoSQL interface is well suited for high-speed inserts with the added assurance of transactional guarantees. You can check out the latest Memcached / InnoDB developments and benchmarks here You can learn how to configure the Memcached API for InnoDB here Memcached Implementation for MySQL Cluster Memcached API support for MySQL Cluster was introduced with General Availability (GA) of the 7.2 release, and joins an extensive range of NoSQL interfaces that are already available for MySQL Cluster Like Memcached, MySQL Cluster provides a distributed hash table with in-memory performance. MySQL Cluster extends Memcached functionality by adding support for write-intensive workloads, a full relational model with ACID compliance (including persistence), rich query support, auto-sharding and 99.999% availability, with extensive management and monitoring capabilities. All writes are committed directly to MySQL Cluster, eliminating cache invalidation and the overhead of data consistency checking to ensure complete synchronization between the database and cache. Figure 3: Memcached API Implementation with MySQL Cluster Implementation is simple: 1. The application sends reads and writes to the Memcached process (using the standard Memcached API). 2. This invokes the Memcached Driver for NDB (which is part of the same process) 3. The NDB API is called, providing for very quick access to the data held in MySQL Cluster’s data nodes. The solution has been designed to be very flexible, allowing the application architect to find a configuration that best fits their needs. It is possible to co-locate the Memcached API in either the data nodes or application nodes, or alternatively within a dedicated Memcached layer. The benefit of this flexible approach to deployment is that users can configure behavior on a per-key-prefix basis (through tables in MySQL Cluster) and the application doesn’t have to care – it just uses the Memcached API and relies on the software to store data in the right place(s) and to keep everything synchronized. Using Memcached for Schema-less Data By default, every Key / Value is written to the same table with each Key / Value pair stored in a single row – thus allowing schema-less data storage. Alternatively, the developer can define a key-prefix so that each value is linked to a pre-defined column in a specific table. Of course if the application needs to access the same data through SQL then developers can map key prefixes to existing table columns, enabling Memcached access to schema-structured data already stored in MySQL Cluster. Conclusion Download the Guide to MySQL and NoSQL to learn more about NoSQL APIs and how you can use them to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database See how to build a social app with MySQL Cluster and the Memcached API from our on-demand webinar or take a look at the docs Don't hesitate to use the comments section below for any questions you may have 

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  • Drupal install and permissions

    - by Richard
    So I'm really stuck on this issue. An install process is complaining about write permission on settings.php and sites/default/files/. However, I've moved these files temporarily to write/read (chmod 777) and changed the owner/group to "apache" as shown below. -bash-4.1$ ls -hal total 28K drwxrwxrwx. 3 richard richard 4.0K Aug 23 15:03 . drwxr-xr-x. 4 richard richard 4.0K Aug 18 14:20 .. -rwxrwxrwx. 1 apache apache 9.3K Mar 23 16:34 default.settings.php drwxrwxrwx. 2 apache apache 4.0K Aug 23 15:03 files -rwxrwxrwx. 1 apache apache 0 Aug 23 15:03 settings.php However, the install is still complaining about write permissions. I followed steps one and two of the INSTALL.txt but no luck. Update: To further explore the situation, I created sites/default/richard.php with the following code: <?php error_reporting(E_ALL); ini_set('display_errors', '1'); mkdir('files'); print("<hr> User is "); passthru("whoami"); passthru("pwd"); ?> Run from the command line (under user "richard"), no problem. The folder is created everything is a go. Run from the web, I get the following: Warning: mkdir(): Permission denied in /var/www/html/sites/default/richard.php on line 9 User is apache /var/www/html/sites/default Update 2: Safe mode appears to be off... -bash-4.1$ cat /etc/php.ini | grep safe | grep mode | grep -v \; safe_mode = Off safe_mode_gid = Off safe_mode_include_dir = safe_mode_exec_dir = safe_mode_allowed_env_vars = PHP_ safe_mode_protected_env_vars = LD_LIBRARY_PATH sql.safe_mode = Off

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  • Apache2 config problem

    - by Hellnar
    For using my Debian VPS for multiple domains , I did such actions: removed the default one from sites-enabled/ and sites-available/ (config and the symbolic link) and I added this under sites-available/www.mysite.com : <VirtualHost MYIP:80> ServerName mysite.com ServerAlias www.mysite.com Alias /media/ /home/myuser/mysite/media/ Alias /admin_media/ /home/myuser/django/Django-1.2/django/contrib/admin/media/ WSGIScriptAlias / /home/myuser/mysite/wsgi.py ErrorLog /home/myuser/mysite/logs/error.log CustomLog /home/myuser/mysite/logs/access.log combined </VirtualHost> And I have changed my ports.conf to: NameVirtualHost MYIP:80 Listen 80 <IfModule mod_ssl.c> # SSL name based virtual hosts are not yet supported, therefore no # NameVirtualHost statement here Listen 443 </IfModule> Lastly I enabled the new domain via the command: a2ensite www.mysite.com After restart I get this error: myuser:~# /etc/init.d/apache2 restart Restarting web server: apache2apache2: Syntax error on line 281 of /etc/apache2/apache2.conf: Syntax error on line 1 of /etc/apache2/sites-enabled/www.birertek.com: /etc/apache2/sites-enabled/www.birertek.com:1: <VirtualHost> was not closed. failed! Please help this poor soul.

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  • Oracle Database Appliance Setup Poster Updated

    - by Ravi.Sharma
    The newly updated Setup Poster for Oracle Database Appliance is now available at http://wd0338.oracle.com/archive/cd_ns/E22693_01/index.htm This updated poster is a comprehensive source of information for anyone planning to deploy Oracle Database Appliance. It includes two main sections (which are conveniently printed on the two sides of a single 11x17 page) 1. Preparing to Deploy Oracle Database Appliance2. Oracle Database Appliance Setup The Preparing to Deploy Oracle Database Appliance section provides a concise list of items to plan for and review before beginning deployment. This includes registering Support Identifiers, allocating IP addresses, downloading software and patches, choosing configuration options, as well as important links to useful information. The Oracle Database Appliance Setup section provides a step by step procedure for deploying and configuring Oracle Database Appliance. This includes initial powering up of Oracle Database Appliance, configuring initial network, downloading software and completing the configuration using Oracle Database Appliance Configurator (GUI)  

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  • frequent "SNMP error" with Cacti

    - by nn4l
    When adding new devices to my Cacti instance, I get frequent "SNMP error" messages in the device screen. But the error is not consistent, not even for the same device. Here's what I already have checked: Sometimes a device shows that "SNMP error" message even when it did not had that error an hour before, and vice versa. I tried this with several different Cacti releases, installed on different OS (Debian squeeze: 0.8.7g-1+squeeze1, Debian Sid: 0.8.7i-3, CentOS 6.0: 0.8.7i-2.el6) tried both from a local (192.168.1.xy) network and from a different data center so I don't think it is a network problem reinstalled the Cacti database, rerun the scripts to install my devices. Now different devices have that error when executing a snmpwalk or snmpgetnext command from the command line, it is always successful increasing the timeout to 20000 (20 seconds) and the retry count to 10 does not make a difference The cacti.log says: 04/14/2012 02:10:19 PM - CMDPHP: Poller[0] WARNING: SNMP GetNext Timeout for Host:'s0026.mydomain.de', and OID:'.1.3.6.1.2.1.1.3.0' 04/14/2012 02:10:20 PM - CMDPHP: Poller[0] WARNING: SNMP GetNext Timeout for Host:'s0026.mydomain.de', and OID:'.1.3' However, when executing snmpget or snmpget with that from the command line a proper response is returned immediately.

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  • Big Data – Role of Cloud Computing in Big Data – Day 11 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the NewSQL. In this article we will understand the role of Cloud in Big Data Story What is Cloud? Cloud is the biggest buzzword around from last few years. Everyone knows about the Cloud and it is extremely well defined online. In this article we will discuss cloud in the context of the Big Data. Cloud computing is a method of providing a shared computing resources to the application which requires dynamic resources. These resources include applications, computing, storage, networking, development and various deployment platforms. The fundamentals of the cloud computing are that it shares pretty much share all the resources and deliver to end users as a service.  Examples of the Cloud Computing and Big Data are Google and Amazon.com. Both have fantastic Big Data offering with the help of the cloud. We will discuss this later in this blog post. There are two different Cloud Deployment Models: 1) The Public Cloud and 2) The Private Cloud Public Cloud Public Cloud is the cloud infrastructure build by commercial providers (Amazon, Rackspace etc.) creates a highly scalable data center that hides the complex infrastructure from the consumer and provides various services. Private Cloud Private Cloud is the cloud infrastructure build by a single organization where they are managing highly scalable data center internally. Here is the quick comparison between Public Cloud and Private Cloud from Wikipedia:   Public Cloud Private Cloud Initial cost Typically zero Typically high Running cost Unpredictable Unpredictable Customization Impossible Possible Privacy No (Host has access to the data Yes Single sign-on Impossible Possible Scaling up Easy while within defined limits Laborious but no limits Hybrid Cloud Hybrid Cloud is the cloud infrastructure build with the composition of two or more clouds like public and private cloud. Hybrid cloud gives best of the both the world as it combines multiple cloud deployment models together. Cloud and Big Data – Common Characteristics There are many characteristics of the Cloud Architecture and Cloud Computing which are also essentially important for Big Data as well. They highly overlap and at many places it just makes sense to use the power of both the architecture and build a highly scalable framework. Here is the list of all the characteristics of cloud computing important in Big Data Scalability Elasticity Ad-hoc Resource Pooling Low Cost to Setup Infastructure Pay on Use or Pay as you Go Highly Available Leading Big Data Cloud Providers There are many players in Big Data Cloud but we will list a few of the known players in this list. Amazon Amazon is arguably the most popular Infrastructure as a Service (IaaS) provider. The history of how Amazon started in this business is very interesting. They started out with a massive infrastructure to support their own business. Gradually they figured out that their own resources are underutilized most of the time. They decided to get the maximum out of the resources they have and hence  they launched their Amazon Elastic Compute Cloud (Amazon EC2) service in 2006. Their products have evolved a lot recently and now it is one of their primary business besides their retail selling. Amazon also offers Big Data services understand Amazon Web Services. Here is the list of the included services: Amazon Elastic MapReduce – It processes very high volumes of data Amazon DynammoDB – It is fully managed NoSQL (Not Only SQL) database service Amazon Simple Storage Services (S3) – A web-scale service designed to store and accommodate any amount of data Amazon High Performance Computing – It provides low-tenancy tuned high performance computing cluster Amazon RedShift – It is petabyte scale data warehousing service Google Though Google is known for Search Engine, we all know that it is much more than that. Google Compute Engine – It offers secure, flexible computing from energy efficient data centers Google Big Query – It allows SQL-like queries to run against large datasets Google Prediction API – It is a cloud based machine learning tool Other Players Besides Amazon and Google we also have other players in the Big Data market as well. Microsoft is also attempting Big Data with the Cloud with Microsoft Azure. Additionally Rackspace and NASA together have initiated OpenStack. The goal of Openstack is to provide a massively scaled, multitenant cloud that can run on any hardware. Thing to Watch The cloud based solutions provides a great integration with the Big Data’s story as well it is very economical to implement as well. However, there are few things one should be very careful when deploying Big Data on cloud solutions. Here is a list of a few things to watch: Data Integrity Initial Cost Recurring Cost Performance Data Access Security Location Compliance Every company have different approaches to Big Data and have different rules and regulations. Based on various factors, one can implement their own custom Big Data solution on a cloud. Tomorrow In tomorrow’s blog post we will discuss about various Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • And the Winners of Fusion Middleware Innovation Awards in Data Integration are…

    - by Irem Radzik
    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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} At OpenWorld, we announced the winners of Fusion Middleware Innovation Awards 2012. Raymond James and Morrison Supermarkets were selected for the data integration category for their innovative use of Oracle’s data integration products and the great results they have achieved. In this blog I would like to briefly introduce you to these award winning projects. Raymond James is a diversified financial services company, which provides financial planning, wealth management, investment banking, and asset management. They are using Oracle GoldenGate and Oracle Data Integrator to feed their operational data store (ODS), which supports application services across the enterprise. A major requirement for their project was low data latency, as key decisions are made based on the data in the ODS. They were able to fulfill this requirement due to the Oracle Data Integrator’s integrated solution with Oracle GoldenGate. Oracle GoldenGate captures changed data from different systems including Oracle Database, HP NonStop and Microsoft SQL Server into a single data store on SQL Server 2008. Oracle Data Integrator provides data transformations for the ODS. Leveraging ODI’s integration with GoldenGate, Raymond James now sees a 9 second median latency (from source commit to ODS target commit). The ODS solution delivers high quality, accurate data for consuming applications such as Raymond James’ next generation client and portfolio management systems as well as real-time operational reporting. It enables timely information for making better decisions. There are more benefits Raymond James achieved with this implementation of Oracle’s data integration solution. The software developers and architects of this solution, Tim Garrod and Ryan Fonnett, have told us during their presentation at OpenWorld that they also reduced application complexity significantly while improving developer productivity through trusted operational services. They were able to utilize CDC to generate alerts for business users, and for applications (for example for cache hydration mechanisms). One cool innovation example among many in this project is that using ODI's flexible architecture, Tim and Ryan could build 24/7 self-healing processes. And these processes have hardly failed. Integration processes fixes the errors itself. Pretty amazing; and a great solution for environments that need such reliability and availability. (You can see Tim and Ryan’s photo with the Innovation Award above.) The other winner of this year in the data integration category, Morrison Supermarkets, is the UK’s 4th largest grocery retailer. The company has been migrating all their legacy applications on to a new-world application set based on Oracle and consolidating all BI on to a single Oracle platform. The company recently implemented Oracle Exadata as the data warehouse engine and uses Oracle Business Intelligence EE. Their goal with deploying GoldenGate and ODI was to provide BI data to the enterprise in a way that it also supports operational decision making requirements from a wide range of Oracle based ERP applications such as E-Business Suite, PeopleSoft, Oracle Retail Suite. They use GoldenGate’s log-based change data capture capabilities and Oracle Data Integrator to populate the Oracle Retail Data Model. The electronic point of sale (EPOS) integration solution they built processes over 80 million transactions/day at busy periods in near real time (15 mins). It provides valuable insight to Retail and Commercial teams for both intra-day and historical trend analysis. As I mentioned in yesterday’s blog, the right data integration platform can transform the business. Here is another example: The point-of-sale integration enabled the grocery chain to optimize its stock management, leading to another award: Morrisons won the Grocer 33 award in 2012 - beating all other major UK supermarkets in product availability. Congratulations, Morrisons,on another award! Celebrating the innovation and the success of our customers with Oracle’s data integration products was definitely a highlight of Oracle OpenWorld for me. I look forward to hearing more from Raymond James, Morrisons, and the other customers that presented their data integration projects at OpenWorld, on how they are creating more value for their organizations.

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  • World Record Oracle Business Intelligence Benchmark on SPARC T4-4

    - by Brian
    Oracle's SPARC T4-4 server configured with four SPARC T4 3.0 GHz processors delivered the first and best performance of 25,000 concurrent users on Oracle Business Intelligence Enterprise Edition (BI EE) 11g benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 10. A SPARC T4-4 server running Oracle Business Intelligence Enterprise Edition 11g achieved 25,000 concurrent users with an average response time of 0.36 seconds with Oracle BI server cache set to ON. The benchmark data clearly shows that the underlying hardware, SPARC T4 server, and the Oracle BI EE 11g (11.1.1.6.0 64-bit) platform scales within a single system supporting 25,000 concurrent users while executing 415 transactions/sec. The benchmark demonstrated the scalability of Oracle Business Intelligence Enterprise Edition 11g 11.1.1.6.0, which was deployed in a vertical scale-out fashion on a single SPARC T4-4 server. Oracle Internet Directory configured on SPARC T4 server provided authentication for the 25,000 Oracle BI EE users with sub-second response time. A SPARC T4-4 with internal Solid State Drive (SSD) using the ZFS file system showed significant I/O performance improvement over traditional disk for the Web Catalog activity. In addition, ZFS helped get past the UFS limitation of 32767 sub-directories in a Web Catalog directory. The multi-threaded 64-bit Oracle Business Intelligence Enterprise Edition 11g and SPARC T4-4 server proved to be a successful combination by providing sub-second response times for the end user transactions, consuming only half of the available CPU resources at 25,000 concurrent users, leaving plenty of head room for increased load. The Oracle Business Intelligence on SPARC T4-4 server benchmark results demonstrate that comprehensive BI functionality built on a unified infrastructure with a unified business model yields best-in-class scalability, reliability and performance. Oracle BI EE 11g is a newer version of Business Intelligence Suite with richer and superior functionality. Results produced with Oracle BI EE 11g benchmark are not comparable to results with Oracle BI EE 10g benchmark. Oracle BI EE 11g is a more difficult benchmark to run, exercising more features of Oracle BI. Performance Landscape Results for the Oracle BI EE 11g version of the benchmark. Results are not comparable to the Oracle BI EE 10g version of the benchmark. Oracle BI EE 11g Benchmark System Number of Users Response Time (sec) 1 x SPARC T4-4 (4 x SPARC T4 3.0 GHz) 25,000 0.36 Results for the Oracle BI EE 10g version of the benchmark. Results are not comparable to the Oracle BI EE 11g version of the benchmark. Oracle BI EE 10g Benchmark System Number of Users 2 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 50,000 1 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 28,000 Configuration Summary Hardware Configuration: SPARC T4-4 server 4 x SPARC T4-4 processors, 3.0 GHz 128 GB memory 4 x 300 GB internal SSD Storage Configuration: "> Sun ZFS Storage 7120 16 x 146 GB disks Software Configuration: Oracle Solaris 10 8/11 Oracle Solaris Studio 12.1 Oracle Business Intelligence Enterprise Edition 11g (11.1.1.6.0) Oracle WebLogic Server 10.3.5 Oracle Internet Directory 11.1.1.6.0 Oracle Database 11g Release 2 Benchmark Description Oracle Business Intelligence Enterprise Edition (Oracle BI EE) delivers a robust set of reporting, ad-hoc query and analysis, OLAP, dashboard, and scorecard functionality with a rich end-user experience that includes visualization, collaboration, and more. The Oracle BI EE benchmark test used five different business user roles - Marketing Executive, Sales Representative, Sales Manager, Sales Vice-President, and Service Manager. These roles included a maximum of 5 different pre-built dashboards. Each dashboard page had an average of 5 reports in the form of a mix of charts, tables and pivot tables, returning anywhere from 50 rows to approximately 500 rows of aggregated data. The test scenario also included drill-down into multiple levels from a table or chart within a dashboard. The benchmark test scenario uses a typical business user sequence of dashboard navigation, report viewing, and drill down. For example, a Service Manager logs into the system and navigates to his own set of dashboards using Service Manager. The BI user selects the Service Effectiveness dashboard, which shows him four distinct reports, Service Request Trend, First Time Fix Rate, Activity Problem Areas, and Cost Per Completed Service Call spanning 2002 to 2005. The user then proceeds to view the Customer Satisfaction dashboard, which also contains a set of 4 related reports, drills down on some of the reports to see the detail data. The BI user continues to view more dashboards – Customer Satisfaction and Service Request Overview, for example. After navigating through those dashboards, the user logs out of the application. The benchmark test is executed against a full production version of the Oracle Business Intelligence 11g Applications with a fully populated underlying database schema. The business processes in the test scenario closely represent a real world customer scenario. See Also SPARC T4-4 Server oracle.com OTN Oracle Business Intelligence oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN WebLogic Suite oracle.com OTN Oracle Solaris 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 30 September 2012.

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  • Excel VBA: select every other cell in a row range to be copied and pasted vertically

    - by terry alexander
    i have a 2200+ page text file. It is delivered from a customer through a data exchange to us with astericks to separate values and tildes (~) to denote the end of a row. The file is sent to me as a text file in Word. Most rows are split in two (1 row covers a full line and part of a second line). i transfer segments (10 page chunks) of it at a time into Excel where, unfortunately, any zeroes that occur at the end of a row get discarded in the "text to columns" procedure. So, i eyeball every "long" row to insure that zeroes were not lost and manually re-enter any that were. Here is a small bit of sample data: SDQ EA 92 1551 378 1601 151 1603 157 1604 83 The "SDQ, EA, and 92" are irrelevant (artifacts of data transmission). i want to use Excel VBA to select 1551, 1601, 1603, and 1604 (these are store numbers) so that i can copy those values and transpose paste them vertically. i will then go back and copy 378, 151, 157, and 83 (sales values) so that i can transpose paste them next to the store numbers. The next two rows of data contain the same store numbers but give the corresponding dollar values. i will only need to copy the dollar values so they can be transpose pasted vertically next to unit values (e.g. 378, 151, 157, and 83). Just being able to put my cursor on the first cell of interest in the row and run a macro to copy every other cell would speed up my work tremendously. i have tried using activecell and offset references to select a range to copy but have not been successful. Does any have any suggestions for me? Thanks in advance for the help.

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  • Drupal with clean urls turned on is putting question marks in URL

    - by aussiegeek
    I have a drupal site with clean urls, the pages load correctly, but then the URL is rewritten with a question mark in it, which I don't want the user to see. My .htaccess is: <IfModule mod_rewrite.c> RewriteEngine on # If your site can be accessed both with and without the 'www.' prefix, you # can use one of the following settings to redirect users to your preferred # URL, either WITH or WITHOUT the 'www.' prefix. Choose ONLY one option: # # To redirect all users to access the site WITH the 'www.' prefix, # (http://example.com/... will be redirected to http://www.example.com/...) # adapt and uncomment the following: # RewriteCond %{HTTP_HOST} ^example\.com$ [NC] # RewriteRule ^(.*)$ http://www.example.com/$1 [L,R=301] # # To redirect all users to access the site WITHOUT the 'www.' prefix, # (http://www.example.com/... will be redirected to http://example.com/...) # uncomment and adapt the following: # RewriteCond %{HTTP_HOST} ^www\.example\.com$ [NC] # RewriteRule ^(.*)$ http://example.com/$1 [L,R=301] # Modify the RewriteBase if you are using Drupal in a subdirectory or in a # VirtualDocumentRoot and the rewrite rules are not working properly. # For example if your site is at http://example.com/drupal uncomment and # modify the following line: # RewriteBase /drupal # # If your site is running in a VirtualDocumentRoot at http://example.com/, # uncomment the following line: RewriteBase / # Rewrite URLs of the form 'x' to the form 'index.php?q=x'. RewriteCond %{REQUEST_URI} !(connect|administration) RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteCond %{REQUEST_URI} !=/favicon.ico RewriteRule ^(.*)$ index.php?q=$1 [L,QSA] </IfModule>

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  • Trying to install ffmpeg-php and having installation issues.

    - by dallasclark
    I've installed ffmpeg successfully using the ffmpeginstaller 3 series (http://www.ffmpeginstaller.com/download). ffmpeg is working fine without any known issues with bash. The ffmpeginstaller is meant to install ffmpeg-php but it cannot be found and I receive an error when I execute php -v PHP Warning: PHP Startup: Unable to load dynamic library '/usr/lib64/php/modules/ffmpeg.so' - /usr/lib64/php/modules/ffmpeg.so: cannot open shared object file: No such file or directory in Unknown on line 0 Looking at the '/usr/lib64/php/modules/' folder, it doesn't contain the ffmpeg.so file. I've tried to install ffmpeg-php manually but I receive the following error checking for ffmpeg headers... configure: error: ffmpeg headers not found. Make sure you've built ffmpeg as shared libs using the --enable-shared option Should I install ffmpeg with series 4 or 5 of ffmpeginstaller or does someone know how to fix this issue? Thanks in advance ! System Specs cat /etc/redhat-release CentOS release 5.5 (Final) cat /proc/version Linux version 2.6.18-028stab068.5 (root@rhel5-64-build) (gcc version 4.1.2 20070626 (Red Hat 4.1.2-14)) #1 php -v PHP Warning: PHP Startup: Unable to load dynamic library '/usr/lib64/php/modules/ffmpeg.so' - /usr/lib64/php/modules/ffmpeg.so: cannot open shared object file: No such file or directory in Unknown on line 0 PHP 5.2.13 (cli) (built: Mar 2 2010 18:08:48) Copyright (c) 1997-2010 The PHP Group Zend Engine v2.2.0, Copyright (c) 1998-2010 Zend Technologies Any other details you need, just let me know.

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  • Exadata Storage Server software upgrade is a new era in Patching

    - by Luis Moreno Campos
    Since it was first released, Exadata Storage Server software has been releasing patch releases like every software on the planet. Storage administrators would have to do this, but by some weird tradition, no matter what level of technology, if it says "Oracle" in it, IT Managers will immediately associate this with a task for the DBA. Not the case, but if it falls onto a DBA lap, fear no evil.The last patch released for Exadata Cells, is a true master piece in patching technology. This sentence is not mine, it's from both the customer and the partner that witnessed how 3 Exadata Cells where patch in less than 4 hours, after 12 months of without a single upgrade.The patch manager that takes care of everything will patch not only the software but also the firmware and the operating system. And you know it will all work out because back in the lab everything was already tested.All you have to do is stare at the 3 Sun ILOM Windows from the 3 cells and watch as they boot and reboot, patch and fix to the latest versions all layers of the storage machines. It's a new era in Patching technology!LMC

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  • Connection Pooling is Busted

    - by MightyZot
    A few weeks ago we started getting complaints about performance in an application that has performed very well for many years.  The application is a n-tier application that uses ADODB with the SQLOLEDB provider to talk to a SQL Server database.  Our object model is written in such a way that each public method validates security before performing requested actions, so there is a significant number of queries executed to get information about file cabinets, retrieve images, create workflows, etc.  (PaperWise is a document management and workflow system.)  A common factor for these customers is that they have remote offices connected via MPLS networks. Naturally, the first thing we looked at was the query performance in SQL Profiler.  All of the queries were executing within expected timeframes, most of them were so fast that the duration in SQL Profiler was zero.  After getting nowhere with SQL Profiler, the situation was escalated to me.  I decided to take a peek with Process Monitor.  Procmon revealed some “gaps” in the TCP/IP traffic.  There were notable delays between send and receive pairs.  The send and receive pairs themselves were quite snappy, but quite often there was a notable delay between a receive and the next send.  You might expect some delay because, presumably, the application is doing some thinking in-between the pairs.  But, comparing the procmon data at the remote locations with the procmon data for workstations on the local network showed that the remote workstations were significantly delayed.  Procmon also showed a high number of disconnects. Wireshark traces showed that connections to the database were taking between 75ms and 150ms.  Not only that, but connections to a file share containing images were taking 2 seconds!  So, I asked about a trust.  Sure enough there was a trust between two domains and the file share was on the second domain.  Joining a remote workstation to the domain hosting the share containing images alleviated the time delay in accessing the file share.  Removing the trust had no affect on the connections to the database. Microsoft Network Monitor includes filters that parse TDS packets.  TDS is the protocol that SQL Server uses to communicate.  There is a certificate exchange and some SSL that occurs during authentication.  All of this was evident in the network traffic.  After staring at the network traffic for a while, and examining packets, I decided to call it a night.  On the way home that night, something about the traffic kept nagging at me.  Then it dawned on me…at the beginning of the dance of packets between the client and the server all was well.  Connection pooling was working and I could see multiple queries getting executed on the same connection and ethereal port.  After a particular query, connecting to two different servers, I noticed that ADODB and SQLOLEDB started making repeated connections to the database on different ethereal ports.  SQL Server would execute a single query and respond on a port, then open a new port and execute the next query.  Connection pooling appeared to be broken. The next morning I wrote a test to confirm my hypothesis.  Turns out that the sequence causing the connection nastiness goes something like this: Make a connection to the database. Open a result set that returns enough records to require multiple roundtrips to the server. For each result, query for some other data in the database (this will open a new implicit connection.) Close the inner result set and repeat for every item in the original result set. Close the original connection. Provided that the first result set returns enough data to require multiple roundtrips to the server, ADODB and SQLOLEDB will start making new connections to the database for each query executed in the loop.  Originally, I thought this might be due to Microsoft’s denial of service (ddos) attack protection.  After turning those features off to no avail, I eventually thought to switch my queries to client-side cursors instead of server-side cursors.  Server-side cursors are the default, by the way.  Voila!  After switching to client-side cursors, the disconnects were gone and the above sequence yielded two connections as expected. While the real problem is the amount of time it takes to make connections over these MPLS networks (100ms on average), switching to client-side cursors made the problem go away.  Believe it or not, this is actually documented by Microsoft, and rather difficult to find.  (At least it was while we were trying to troubleshoot the problem!)  So, if you’re noticing performance issues on slower networks, or networks with slower switching, take a look at the traffic in a tool like Microsoft Network Monitor.  If you notice a high number of disconnects, and you’re using fire-hose or server-side cursors, then try switching to client-side cursors and you may see the problem go away. Most likely, Microsoft believes this to be appropriate behavior, because ADODB can’t guarantee that all of the data has been retrieved when you execute the inner queries.  I’m not convinced, though, because the problem remains even after replacing all of the implicit connections with explicit connections and closing those connections in-between each of the inner queries.  In that case, there doesn’t seem to be a reason why ADODB can’t use a single connection from the connection pool to make the additional queries, bringing the total number of connections to two.  Instead ADO appears to make an assumption about the state of the connection. I’ve reported the behavior to Microsoft and am awaiting to hear from the appropriate team, so that I can demonstrate the problem.  Maybe they can explain to us why this is appropriate behavior.  :)

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  • Why does bash sometimes think my $HOME isn't the correct directory?

    - by Adam Yanalunas
    Like the title says it seems that bash sometimes misidentifies my $HOME. This cropped up after a seemingly unique series of events that I will now replay in broad strokes. Running OS X 10.6 with normal, local account Work binds my account to Active Directory Much time passes with no issues Set up rvm to manage Ruby installs (this becomes important later) Upgraded to OS X 10.7 a few days ago After successful install, attempted to log in, was presented with "Must reset password" dialog that never allowed a password to be reset. Would simply shake the box after new password was entered. Much googling was done. Much more googling was done. Swearing was had. Logged in as root, created new account, set as admin, deleted /Users/[new account], renamed /Users/[old account] to /Users/[new account] Logged out of root, logged into new account with no issues After OS X asking for a my account password a few times to update Keychain and other system-level stuff it was back to business as usual. Opened Terminal, cd to project folder, tried "rails server" and was presented with: /usr/local/lib/ruby/1.9.1/rubygems/dependency.rb:247:in to_specs': Could not find rails (>= 0) amongst [] (Gem::LoadError) from /usr/local/lib/ruby/1.9.1/rubygems/dependency.rb:256:into_spec' from /usr/local/lib/ruby/1.9.1/rubygems.rb:1210:in gem' from /usr/local/bin/rails:18:in' Ran through a few exercises, decided to rm -rf ~/.rvm and reinstall. Running a --trace on the rvm installer shows it dies on this line: mkdir: /Users/[old account]: Permission denied Scrolling back through the --trace log I see many more mentions of /Users/[old account]. When inspect the install script the offending line is looking at "${HOME}/.rvm" as it tries to run the mkdir. To my confusion I also see mentions of /Users/[new account] in the log. I've tried exporting a new HOME in my .bash_profile to no luck. Can anyone guess why /Users/[old account] would still be kicking around?

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  • Oracle Business Intelligence integration with Oracle Open Office

    - by Harald Behnke
    A highlight of the latest Oracle Office product launches are the first Oracle application connectors introduced with Oracle Open Office 3.3. The Oracle Open Office Connector for Oracle Business Intelligence perfectly demonstrates the advantages of enterprise and office productivity software engineered to work together. The connector enables you to access and run Oracle Business Intelligence Enterprise Edition requests directly within Oracle Open Office. The refreshable requests leverage not only native Open Office functionality but also the scalability and performance of the Oracle Oracle Business Intelligence server (R10.x). The requests reference a single source of information as defined in the Oracle Business Intelligence server data thus ensuring consistent information across the enterprise. See how it works in the demo video: Beyond the dramatic license cost savings for Oracle Business Intelligence customers using Oracle Open Office, the joint engineering efforts result in usability and efficiency benefits not available with Microsoft Office: Import styles and conditional formats defined in Business Intelligence answersApply customized styles, direct or conditional formats to Oracle Business Intelligence data - all changes are preserved during refreshChange chart properties for Oracle Open Office charts - all changes are preserved during refresh Read more about the Oracle Open Office enterprise features.

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  • Window management shortcuts?

    - by pwnguin
    I've got a single massive monitor at home, and I've decided to mimic the Windows 7 window tiling shortcuts. I found a few guides online using wmctrl, and it's going well, save one thing: maximized windows don't respond to it. gconftool-2 --type string --set /apps/metacity/keybinding_commands/command_1 "wmctrl -r :ACTIVE: -e 0, 0,0, `xwininfo -root | grep Width | awk '{ print ($2/2)}'`, `xwininfo -root | grep Height | awk '{ print $2 }'`" (I've added line returns to make an otherwise massive one-liner readable.) I've bound this to a hotkey and it works, unless the window is maximized. Any ideas on how to fix this up?

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  • The Beginner’s Guide To Tabbed Browsing

    - by Chris Hoffman
    Tabs allow you to open multiple web pages in a single browser window without cluttering your desktop. Mastering tabbed browsing can speed up your browsing experience and make multiple web pages easier to manage. Tabbed browsing was once the domain of geeks using alternative browsers, but every popular browser now supports tabbed browsing – even mobile browsers on smartphones and tablets. This article is intended for beginners. If you know someone that doesn’t fully understand tabbed browsing and how awesome it is, feel free to send it to them! How Hackers Can Disguise Malicious Programs With Fake File Extensions Can Dust Actually Damage My Computer? What To Do If You Get a Virus on Your Computer

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  • Big Data – What is Big Data – 3 Vs of Big Data – Volume, Velocity and Variety – Day 2 of 21

    - by Pinal Dave
    Data is forever. Think about it – it is indeed true. Are you using any application as it is which was built 10 years ago? Are you using any piece of hardware which was built 10 years ago? The answer is most certainly No. However, if I ask you – are you using any data which were captured 50 years ago, the answer is most certainly Yes. For example, look at the history of our nation. I am from India and we have documented history which goes back as over 1000s of year. Well, just look at our birthday data – atleast we are using it till today. Data never gets old and it is going to stay there forever.  Application which interprets and analysis data got changed but the data remained in its purest format in most cases. As organizations have grown the data associated with them also grew exponentially and today there are lots of complexity to their data. Most of the big organizations have data in multiple applications and in different formats. The data is also spread out so much that it is hard to categorize with a single algorithm or logic. The mobile revolution which we are experimenting right now has completely changed how we capture the data and build intelligent systems.  Big organizations are indeed facing challenges to keep all the data on a platform which give them a  single consistent view of their data. This unique challenge to make sense of all the data coming in from different sources and deriving the useful actionable information out of is the revolution Big Data world is facing. Defining Big Data The 3Vs that define Big Data are Variety, Velocity and Volume. Volume We currently see the exponential growth in the data storage as the data is now more than text data. We can find data in the format of videos, musics and large images on our social media channels. It is very common to have Terabytes and Petabytes of the storage system for enterprises. As the database grows the applications and architecture built to support the data needs to be reevaluated quite often. Sometimes the same data is re-evaluated with multiple angles and even though the original data is the same the new found intelligence creates explosion of the data. The big volume indeed represents Big Data. Velocity The data growth and social media explosion have changed how we look at the data. There was a time when we used to believe that data of yesterday is recent. The matter of the fact newspapers is still following that logic. However, news channels and radios have changed how fast we receive the news. Today, people reply on social media to update them with the latest happening. On social media sometimes a few seconds old messages (a tweet, status updates etc.) is not something interests users. They often discard old messages and pay attention to recent updates. The data movement is now almost real time and the update window has reduced to fractions of the seconds. This high velocity data represent Big Data. Variety Data can be stored in multiple format. For example database, excel, csv, access or for the matter of the fact, it can be stored in a simple text file. Sometimes the data is not even in the traditional format as we assume, it may be in the form of video, SMS, pdf or something we might have not thought about it. It is the need of the organization to arrange it and make it meaningful. It will be easy to do so if we have data in the same format, however it is not the case most of the time. The real world have data in many different formats and that is the challenge we need to overcome with the Big Data. This variety of the data represent  represent Big Data. Big Data in Simple Words Big Data is not just about lots of data, it is actually a concept providing an opportunity to find new insight into your existing data as well guidelines to capture and analysis your future data. It makes any business more agile and robust so it can adapt and overcome business challenges. Tomorrow In tomorrow’s blog post we will try to answer discuss Evolution of Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Vim: Custom Folding function done, custom highlighting required

    - by sixtyfootersdude
    I have defined a function in vim to properly indent folds. Ie so they look like this: Unfolded this is text also text indented text indented text not indented text folded with default function this is text also text +-- 2 lines: indented text ---------------------------- not indented text folded with my new function this is text also text ++- 2 lines: indented text ---------------------------- not indented text The only problem is the the highlighting is still like this: folded with my new function (highlighting shown with tag) this is text also text <hi> ++- 2 lines: indented text ----------------------------</hi> not indented text I would like the highlighting to start at the ++ and not at the beginning of the line. I have looked in the vim manual but could not find anything like that. One so-so solution I found was to make the background black. highlight Folded ctermbg=black ctermfg=white cterm=bold But this make folds less visible. I have tried several variations of: syn keyword Folded lines syn region Folded ... But I don't think that this is the way that folds are selected. Can anyone offer a suggestion? By the way this is my function to indent the folds: set foldmethod=indent function! MyFoldText() let lines = 1 + v:foldend - v:foldstart let ind = indent(v:foldstart) let spaces = '' let i = 0 while i < ind let i = i+1 let spaces = spaces . ' ' endwhile let linestxt = 'lines' if lines == 1 linestxt = 'line' endif return spaces . '+' . v:folddashes . ' '. lines . ' ' . linestxt . ': ' . getline(v:foldstaendfunction endfunction au BufWinEnter,BufRead,BufNewFile * set foldtext=MyFoldText() By the way thanks to njd for helping me get this function setup.

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  • Apache Won't Restart After Compiling PHP with Postgres

    - by gonzofish
    I've compiled PHP (v5.3.1) with Postgres using the following configure: ./configure \ --build=x86_64-redhat-linux-gnu \ --host=x86_64-redhat-linux-gnu \ --target=x86_64-redhat-linux-gnu \ --program-prefix= \ --prefix=/usr/ \ --exec-prefix=/usr/ \ --bindir=/usr/bin/ \ --sbindir=/usr/sbin/ \ --sysconfdir=/etc \ --datadir=/usr/share \ --includedir=/usr/include/ \ --libdir=/usr/lib64 \ --libexecdir=/usr/libexec \ --localstatedir=/var \ --sharedstatedir=/usr/com \ --mandir=/usr/share/man \ --infodir=/usr/share/info \ --cache-file=../config.cache \ --with-libdir=lib64 \ --with-config-file-path=/etc \ --with-config-file-scan-dir=/etc/php.d \ --with-pic \ --disable-rpath \ --with-pear \ --with-pic \ --with-bz2 \ --with-exec-dir=/usr/bin \ --with-freetype-dir=/usr \ --with-png-dir=/usr \ --with-xpm-dir=/usr \ --enable-gd-native-ttf \ --with-t1lib=/usr \ --without-gdbm \ --with-gettext \ --without-gmp \ --with-iconv \ --with-jpeg-dir=/usr \ --with-openssl \ --with-zlib \ --with-layout=GNU \ --enable-exif \ --enable-ftp \ --enable-magic-quotes \ --enable-sockets \ --enable-sysvsem \ --enable-sysvshm \ --enable-sysvmsg \ --with-kerberos \ --enable-ucd-snmp-hack \ --enable-shmop \ --enable-calendar \ --with-libxml-dir=/usr \ --enable-xml \ --with-system-tzdata \ --with-mime-magic=/usr/share/file/magic \ --with-apxs2=/usr/sbin/apxs \ --with-mysql=/usr/include/mysql \ --without-gd \ --with-dom=/usr/include/libxml2/libxml \ --disable-dba \ --without-unixODBC \ --disable-pdo \ --enable-xmlreader \ --enable-xmlwriter \ --without-sqlite \ --without-sqlite3 \ --disable-phar \ --enable-fileinfo \ --enable-json \ --without-pspell \ --disable-wddx \ --with-curl=/usr/include/curl \ --enable-posix \ --with-mcrypt \ --enable-mbstring \ --with-pgsql=/mnt/mv/pgsql I'm using Postgres 8.4.0 and Apache 2.2.8; I have the following line in my Apache conf file: LoadModule php5_module /usr/lib64/httpd/modules/libphp5.so And when I attempt to restart Apache, I get the following error message: Starting httpd: httpd: Syntax error on line 205 of /etc/httpd/conf/httpd.conf: Cannot load /usr/lib64/httpd/modules/libphp5.so into server: /usr/lib64/httpd/modules/libphp5.so: undefined symbol: lo_import_with_oid Now, I know that this is a problem with Postgres with PHP because lo_import_with_oid is a function in the Postgres source which allows the importing of large objects; also, if I remove the --with-pgsql option, PHP and Apache get along great. I've scoured the Internet looking for answers all day, but to no avail. Does anyone have ANY insight into what is causing my problems.

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  • UKOUG Application Server & Middleware SIG Meeting

    - by JuergenKress
    Date: Wednesday 10th Oct 2012 Time: 09:00 - 16:00 Location: Reading Venue: Oracle, Thames Valley Park, Reading Agenda: 09:00 Registration and Coffee 10:00 Welcome Application Server & Middleware Committee 10:10 Oracle Support Updates Nick Pounder, Oracle Customer Services 10:30 OpenWorld 2012 - News Round-up for Middleware Admins Simon Haslam, Veriton Limited 11:00 Coffee break 11:20 Oracle Single-Sign on to Oracle Access Manager Migration Rob Otto, Oracle Consulting Services UK 12:05 Supporting Fusion Middleware through First Failure Capture (theory) Greg Cook, Oracle 12:50 Lunch and Network 13:35 Deputy Chair Elections UKOUG 13:45 Supporting Fusion Middleware through First Failure Capture (demos) Greg Cook, Oracle 14:15 Networking session including tea/coffee 14:45 Real Life WebLogic Performance Tuning: Tales and Techniques from the Field Steve Millidge, C2B2 Consulting Limited 15:30 WLST: WebLogic's Swiss Army Knife Simon Haslam, Veriton Limited 15:45 AOB and Close For details please visit the registration page. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. BlogTwitterLinkedInMixForumWiki Technorati Tags: UK user group,Simon Haslam,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • SQL In The City Charlotte - Fundamentals of Database Design

    - by drsql
    Next Monday, October 14, at Red-Gate's SQL In The City conference in Charlotte, NC (one day before PASS), I will be presenting my Fundamentals of Database Design session. It is my big-time chestnut session, the one that I do the most and have the most fun with. This will be the "single" version of the session, weighing in at just under an hour, and it is a lot of material to go over (even with no code samples to go awry to take up time.)  In this hour long session (presented in widescreen...(read more)

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  • The curious case(s) of the Microsoft product naming department

    - by AaronBertrand
    A long time ago, in a galaxy far, far away... Okay, it was here on earth, a little over 5 years ago. With SQL Server 2005, Microsoft introduced a very useful feature called the DAC. DAC stands for "dedicated administrator connection"... you can read about it here , but essentially, it allows you a single connection into the server with priority resource allocation - so you can actually get in and kill a rogue process that is otherwise taking over the server. On its own this was a fine acronym choice,...(read more)

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