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• Big Data – Buzz Words: What is Hadoop – Day 6 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned what is NoSQL. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – Hadoop. What is Hadoop? Apache Hadoop is an open-source, free and Java based software framework offers a powerful distributed platform to store and manage Big Data. It is licensed under an Apache V2 license. It runs applications on large clusters of commodity hardware and it processes thousands of terabytes of data on thousands of the nodes. Hadoop is inspired from Google’s MapReduce and Google File System (GFS) papers. The major advantage of Hadoop framework is that it provides reliability and high availability. What are the core components of Hadoop? There are two major components of the Hadoop framework and both fo them does two of the important task for it. Hadoop MapReduce is the method to split a larger data problem into smaller chunk and distribute it to many different commodity servers. Each server have their own set of resources and they have processed them locally. Once the commodity server has processed the data they send it back collectively to main server. This is effectively a process where we process large data effectively and efficiently. (We will understand this in tomorrow’s blog post). Hadoop Distributed File System (HDFS) is a virtual file system. There is a big difference between any other file system and Hadoop. When we move a file on HDFS, it is automatically split into many small pieces. These small chunks of the file are replicated and stored on other servers (usually 3) for the fault tolerance or high availability. (We will understand this in the day after tomorrow’s blog post). Besides above two core components Hadoop project also contains following modules as well. Hadoop Common: Common utilities for the other Hadoop modules Hadoop Yarn: A framework for job scheduling and cluster resource management There are a few other projects (like Pig, Hive) related to above Hadoop as well which we will gradually explore in later blog posts. A Multi-node Hadoop Cluster Architecture Now let us quickly see the architecture of the a multi-node Hadoop cluster. A small Hadoop cluster includes a single master node and multiple worker or slave node. As discussed earlier, the entire cluster contains two layers. One of the layer of MapReduce Layer and another is of HDFC Layer. Each of these layer have its own relevant component. The master node consists of a JobTracker, TaskTracker, NameNode and DataNode. A slave or worker node consists of a DataNode and TaskTracker. It is also possible that slave node or worker node is only data or compute node. The matter of the fact that is the key feature of the Hadoop. In this introductory blog post we will stop here while describing the architecture of Hadoop. In a future blog post of this 31 day series we will explore various components of Hadoop Architecture in Detail. Why Use Hadoop? There are many advantages of using Hadoop. Let me quickly list them over here: Robust and Scalable – We can add new nodes as needed as well modify them. Affordable and Cost Effective – We do not need any special hardware for running Hadoop. We can just use commodity server. Adaptive and Flexible – Hadoop is built keeping in mind that it will handle structured and unstructured data. Highly Available and Fault Tolerant – When a node fails, the Hadoop framework automatically fails over to another node. Why Hadoop is named as Hadoop? In year 2005 Hadoop was created by Doug Cutting and Mike Cafarella while working at Yahoo. Doug Cutting named Hadoop after his son’s toy elephant. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – MapReduce. 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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• Debugging "Premature end of script headers" - WSGI/Django [migrated]

  - by Marcin

  I have recently deployed an app to a shared host (webfaction), and for no apparent reason, my site will not load at all (it worked until today). It is a django app, but the django.log is not even created; the only clue is that in one of the logs, I get the error message: "Premature end of script headers", identifying my wsgi file as the source. I've tried to add logging to my wsgi file, but I can't find any log created for it. Is there any recommended way to debug this error? I am on the point of tearing my hair out. My WSGI file: import os import sys from django.core.handlers.wsgi import WSGIHandler import logging logger = logging.getLogger(__name__) os.environ['DJANGO_SETTINGS_MODULE'] = 'settings' os.environ['CELERY_LOADER'] = 'django' virtenv = os.path.expanduser("~/webapps/django/oneclickcosvirt/") activate_this = virtenv + "bin/activate_this.py" execfile(activate_this, dict(__file__=activate_this)) # if 'VIRTUAL_ENV' not in os.environ: # os.environ['VIRTUAL_ENV'] = virtenv sys.path.append(os.path.dirname(virtenv+'oneclickcos/')) logger.debug('About to run WSGIHandler') try: application = WSGIHandler() except (Exception,), e: logger.debug('Exception starting wsgihandler: %s' % e) raise e

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• how to concatenate two strings in shell script in 3.13.0-34-generic kernel

  - by saikrishna

  I want to concatenate two strings for the shell file im getting error when i have created the shell file in following manner could you please suggest how to get it set export APP_HOME="/home/sfptladmin/ArchivalDaemon" export JAVA_HOME="/usr/lib/jvm/java-7-oracle/jre" export LIBPATH="/home/sfptladmin/ArchivalDaemon/lib" export CPATH=$APP_HOME/conf export CPATH=$CPATH:$LIBPATH/commons-beanutils-core-1.7.0.jar export CPATH=$CPATH:$LIBPATH/commons-collections-3.2.jar export CPATH=$CPATH:$LIBPATH/commons-io-1.4.jar export CPATH=$CPATH:$LIBPATH/commons-lang.jar export CPATH=$CPATH:$LIBPATH/commons-net.jar export CPATH=$CPATH:$LIBPATH/dataloader-27.0.1-uber.jar export CPATH=$CPATH:$LIBPATH/dom4j-1.6.1.jar export CPATH=$CPATH:$LIBPATH/log4j-1.2.15.jar export CPATH=$CPATH:$LIBPATH/opencsv2.3.jar export CPATH=$CPATH:$LIBPATH/poi-3.7.jar export CPATH=$CPATH:$LIBPATH/poi-ooxml-3.7.jar export CPATH=$CPATH:$LIBPATH/poi-ooxml-schemas-3.7.jar export CPATH=$CPATH:$LIBPATH/wsc-23-min.jar export CPATH=$CPATH:$LIBPATH/xmlbeans-2.5.0.jar export CPATH=$CPATH:$LIBPATH/archival-daemon-main.jar export CPATH=$CPATH:$LIBPATH/sbmclasspath.jar export CPATH=$CPATH java -Xms256m -Xmx512m -classpath $CPATH "-Dfile.encoding=UTF-8" com.genpact.proflow.daemon.archival.manager.ArchivalManager echo $CPATH

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• Make sure you take advantage of Visual Studio 2010 license offers before April 12th

  - by Aaron Kowall

  For Visual Studio 2010 Professional Microsoft Visual Studio 2010 Professional will launch on April 12 but you can beat the rush and secure your copy today by pre-ordering at the affordable estimated retail price of $549, a saving of $250. If you use a previous version of Visual Studio or any other development tool then you are eligible for this upgrade. Along with all the great new features in Visual Studio 2010 (see www.microsoft.com/visualstudio) Visual Studio 2010 Professional includes a 12-month MSDN Essentials subscription which gives you access to core Microsoft platforms: Windows 7 Ultimate, Windows Server 2008 R2 Enterprise, and Microsoft SQL Server 2008 R2 Datacenter. So visit http://www.microsoft.com/visualstudio/en-us/pre-order-visual-studio-2010 to check out all the new features and sign up for this great offer. Ultimate Offer for MSDN Subscribers Also, don’t forget about the Ultimate Offer which basically gives you the opportunity to use a higher end Visual Studio SKU for the duration of your MSDN agreement.  Make sure you review your MSDN license BEFORE APRIL 12th to make sure you are in the right spot to maximize this benefit. Technorati Tags: VS 2010

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• Unable to install juju-gui locally?

  - by Maciek

  I'm attempting to setup juju-gui in a VM running Ubuntu 13.10 x64 Server. I intend to see if it's possible to deploy an openstack "all in one" node, using this method in that particular VM. I've installed and bootstrapped juju in a local environment : $sudo apt-get install juju-core $sudo apt-get install juju-local $juju switch local $sudo juju bootstrap Next I've executed the following : $juju deploy juju-gui $juju expose juju-gui $watch juju status I was expecting to see juju-gui open up some ports and become available via a web-browser but nothing like that happened - why? how do I fix that? I believe I've managed to follow the deployment guides to the letter? Are there any detailed walkthroughs regarding deploying openstack on 13.10, using juju? Cheers :)

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• Learn All About MySQL Cluster

  - by Antoinette O'Sullivan

  Just released - the all new MySQL Cluster training course. This MySQL Cluster training teaches you how to install and configure a real-time database cluster at the core of your application. Expert instructors will teach you how to design and maintain your clusters for high availability and scalability by using MySQL Cluster's open-source and enterprise components. This 4-day training course is a must for those who want to learn about MySQL Cluster as you will not only learn about the concepts and features but you will get extensive hands-on experience. You can follow this training course from your own desk via a live-virtual training or by traveling to an education center to follow this course. Be the first to influence the schedule for this newly released course by registering your interest on the Oracle University portal. For more information about the authentic MySQL curriculum, go to http://education.oracle.com/mysql

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• Best Practices For Database Consolidation On Exadata - New Whitepapers

  - by Javier Puerta

   Best Practices For Database Consolidation On Exadata Database Machine (Nov. 2011) Consolidation can minimize idle resources, maximize efficiency, and lower costs when you host multiple schemas, applications or databases on a target system. Consolidation is a core enabler for deploying Oracle database on public and private clouds.This paper provides the Exadata Database Machine (Exadata) consolidation best practices to setup and manage systems and applications for maximum stability and availability:Download here Oracle Exadata Database Machine Consolidation: Segregating Databases and Roles (Sep. 2011) This paper is focused on the aspects of segregating databases from each other in a platform consolidation environment on an Oracle Exadata Database Machine. Platform consolidation is the consolidation of multiple databases on to a single Oracle Exadata Database Machine. When multiple databases are consolidated on a single Database Machine, it may be necessary to isolate certain database components or functions in order to meet business requirements and provide best practices for a secure consolidation. In this paper we outline the use of Oracle Exadata database-scoped security to securely separate database management and provide a detailed case study that illustrates the best practices. Download here

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• Getting started with Oracle Database In-Memory Part III - Querying The IM Column Store

  - by Maria Colgan

  In my previous blog posts, I described how to install, enable, and populate the In-Memory column store (IM column store). This weeks post focuses on how data is accessed within the IM column store. Let’s take a simple query “What is the most expensive air-mail order we have received to date?” SELECT Max(lo_ordtotalprice) most_expensive_order FROM lineorderWHERE  lo_shipmode = 5; The LINEORDER table has been populated into the IM column store and since we have no alternative access paths (indexes or views) the execution plan for this query is a full table scan of the LINEORDER table. You will notice that the execution plan has a new set of keywords “IN MEMORY" in the access method description in the Operation column. These keywords indicate that the LINEORDER table has been marked for INMEMORY and we may use the IM column store in this query. What do I mean by “may use”? There are a small number of cases were we won’t use the IM column store even though the object has been marked INMEMORY. This is similar to how the keyword STORAGE is used on Exadata environments. You can confirm that the IM column store was actually used by examining the session level statistics, but more on that later. For now let's focus on how the data is accessed in the IM column store and why it’s faster to access the data in the new column format, for analytical queries, rather than the buffer cache. There are four main reasons why accessing the data in the IM column store is more efficient. 1. Access only the column data needed The IM column store only has to scan two columns – lo_shipmode and lo_ordtotalprice – to execute this query while the traditional row store or buffer cache has to scan all of the columns in each row of the LINEORDER table until it reaches both the lo_shipmode and the lo_ordtotalprice column. 2. Scan and filter data in it's compressed format When data is populated into the IM column it is automatically compressed using a new set of compression algorithms that allow WHERE clause predicates to be applied against the compressed formats. This means the volume of data scanned in the IM column store for our query will be far less than the same query in the buffer cache where it will scan the data in its uncompressed form, which could be 20X larger. 3. Prune out any unnecessary data within each column The fastest read you can execute is the read you don’t do. In the IM column store a further reduction in the amount of data accessed is possible due to the In-Memory Storage Indexes(IM storage indexes) that are automatically created and maintained on each of the columns in the IM column store. IM storage indexes allow data pruning to occur based on the filter predicates supplied in a SQL statement. An IM storage index keeps track of minimum and maximum values for each column in each of the In-Memory Compression Unit (IMCU). In our query the WHERE clause predicate is on the lo_shipmode column. The IM storage index on the lo_shipdate column is examined to determine if our specified column value 5 exist in any IMCU by comparing the value 5 to the minimum and maximum values maintained in the Storage Index. If the value 5 is outside the minimum and maximum range for an IMCU, the scan of that IMCU is avoided. For the IMCUs where the value 5 does fall within the min, max range, an additional level of data pruning is possible via the metadata dictionary created when dictionary-based compression is used on IMCU. The dictionary contains a list of the unique column values within the IMCU. Since we have an equality predicate we can easily determine if 5 is one of the distinct column values or not. The combination of the IM storage index and dictionary based pruning, enables us to only scan the necessary IMCUs. 4. Use SIMD to apply filter predicates For the IMCU that need to be scanned Oracle takes advantage of SIMD vector processing (Single Instruction processing Multiple Data values). Instead of evaluating each entry in the column one at a time, SIMD vector processing allows a set of column values to be evaluated together in a single CPU instruction. The column format used in the IM column store has been specifically designed to maximize the number of column entries that can be loaded into the vector registers on the CPU and evaluated in a single CPU instruction. SIMD vector processing enables the Oracle Database In-Memory to scan billion of rows per second per core versus the millions of rows per second per core scan rate that can be achieved in the buffer cache. I mentioned earlier in this post that in order to confirm the IM column store was used; we need to examine the session level statistics. You can monitor the session level statistics by querying the performance views v$mystat and v$statname. All of the statistics related to the In-Memory Column Store begin with IM. You can see the full list of these statistics by typing: display_name format a30 SELECT display_name FROM v$statname WHERE  display_name LIKE 'IM%'; If we check the session statistics after we execute our query the results would be as follow; SELECT Max(lo_ordtotalprice) most_expensive_order FROM lineorderWHERE lo_shipmode = 5; SELECT display_name FROM v$statname WHERE  display_name IN ('IM scan CUs columns accessed',                        'IM scan segments minmax eligible',                        'IM scan CUs pruned'); As you can see, only 2 IMCUs were accessed during the scan as the majority of the IMCUs (44) in the LINEORDER table were pruned out thanks to the storage index on the lo_shipmode column. In next weeks post I will describe how you can control which queries use the IM column store and which don't. +Maria Colgan

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• PPL and TPL sessions on channel9

  - by Daniel Moth

  Back in June there was an internal conference in Redmond ("Engineering Forum") aimed at Microsoft engineers, and delivered by Microsoft engineers. I was asked to put together a track on Multi-Core development, so I picked 6 parallelism experts and we created 6 awesome sessions (we won the top spot in the Top 10 :-)). Two of the speakers kept the content fairly external-friendly, so we received permission to publish their recordings publicly. Enjoy (best to download the High Quality WMV): Don McCrady - Parallelism in C++ Using the Concurrency Runtime Stephen Toub - Implementing Parallel Patterns using .NET 4 To get notified on future videos on parallelism (or to browse the archive) stay tuned on this channel9 parallel computing feed. Comments about this post welcome at the original blog.

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• Problem libc-so-6-version-glibc-2-14-not-found

  - by alessio

  i have installed nagios core 4 on ubuntu server 12.04 lts.. everything working fine,, but... i have a problem with remote command to a remote linux (ubuntu server 12.04) pc! when i try to check a service, for example: check_swap, check_disk etc.. i got everytime an error: Remote command execution failed: /home/nagios/plugins/check_disk: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.14' not found (required by /home/nagios/plugins/check_disk) the remote pc is not my pc and i don't want to make a disaster! :) So... how can i fix this problem? any help be appreciate!!! ;) thanks in advance! :)

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• scalablity of Scala over Java

  - by Marcus

  I read an article that says Scala handles concurrency better than Java. http://www.theserverside.com/feature/Solving-the-Scalability-Paradox-with-Scala-Clojure-and-Groovy ...the scalability limitation is confined specifically to the Java programming language itself, but it is not a limitation of the Java platform as a whole... The scalability issues with Java aren't a new revelation. In fact, plenty of work has been done to address these very issues, with two of the most successful projects being the programming languages named Scala and Clojure... ...Scala is finding ways around the problematic thread and locking paradigm of the Java language... How is this possible? Doesn't Scala use Java's core libraries which brings all the threading and locking issues from Java to Scala?

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• Sword and Sworcery - seg fault

  - by Synesso

  I've just bought, installed Sword and Sworcery via the Software Centre. When I run it, the screen goes black, the cursor changes and then all reverts back to normal. I found the executable that matches the menu item. /bin/sh /opt/swordandsworcery/run.sh When I run it from the console: Segmentation fault (core dumped) My setup: Linux jem-doxie 3.2.0-24-generic #39-Ubuntu SMP Mon May 21 16:52:17 UTC 2012 x86_64 x86_64 x86_64 GNU/Linux Where to from here? Refund? Or can I do something?

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• Intel TurboBoost not working under 12.04 LTS

  - by Panák Tibor

  Please help me someone :) My notebook has Intel core i5 3337U CPU with Intel turbo boost. Under 12.04 the turbo boost is not working properly. It's frequency maximum is 1.8Ghz but the CPU can run 2.7GHz. How can I fix it? pano@dell-inspiron:~$ grep MHz /proc/cpuinfo cpu MHz : 774.000 cpu MHz : 1801.000 cpu MHz : 774.000 cpu MHz : 1801.000 pano@dell-inspiron:~$ grep MHz /proc/cpuinfo cpu MHz : 774.000 cpu MHz : 1801.000 cpu MHz : 774.000 cpu MHz : 1801.000 pano@dell-inspiron:~$ grep MHz /proc/cpuinfo cpu MHz : 774.000 cpu MHz : 1801.000 cpu MHz : 1800.000 cpu MHz : 1801.000 pano@dell-inspiron:~$ grep MHz /proc/cpuinfo cpu MHz : 774.000 cpu MHz : 1801.000 cpu MHz : 774.000 cpu MHz : 1700.000

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• Web services, J2EE, Spring, DB integration project ideas - maybe data mining related?

  - by saral jain

  I am a graduate Computer Science student (Data Mining and Machine Learning) and have good exposure to core Java (3 years). I have read up on a bunch of stuff on the following topics: Design patterns, J2EE Web services (SOAP and REST), Spring, and Hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff -- over my free time of course -- to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + SVN, maven). Any good project ideas would be really appreciated. I just want to build this stuff to learn, so I don't really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus as it fits with my research but is absolutely not necessary since this project is more to learn to do large scale software development.

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• Unable to enable wireless on a Vostro 2520

  - by Joe

  I have a Vostro 2520 and not sure how to enable wireless on my machine. The details are given below, would appreciate any pointers to resolving this issue. lsmod returns Module Size Used by ath9k 132390 0 ath9k_common 14053 1 ath9k ath9k_hw 411151 2 ath9k,ath9k_common ath 24067 3 ath9k,ath9k_common,ath9k_hw b43 365785 0 mac80211 506816 2 ath9k,b43 cfg80211 205544 4 ath9k,ath,b43,mac80211 bcma 26696 1 b43 ssb 52752 1 b43 ndiswrapper 282628 0 ums_realtek 18248 0 usb_storage 49198 1 ums_realtek uas 18180 0 snd_hda_codec_hdmi 32474 1 snd_hda_codec_cirrus 24002 1 joydev 17693 0 parport_pc 32866 0 ppdev 17113 0 rfcomm 47604 0 bnep 18281 2 bluetooth 180104 10 rfcomm,bnep psmouse 97362 0 dell_wmi 12681 0 sparse_keymap 13890 1 dell_wmi snd_hda_intel 33773 3 snd_hda_codec 127706 3 snd_hda_codec_hdmi,snd_hda_codec_cirrus,snd_hda_intel snd_hwdep 13668 1 snd_hda_codec snd_pcm 97188 3 snd_hda_codec_hdmi,snd_hda_intel,snd_hda_codec snd_seq_midi 13324 0 snd_rawmidi 30748 1 snd_seq_midi snd_seq_midi_event 14899 1 snd_seq_midi snd_seq 61896 2 snd_seq_midi,snd_seq_midi_event snd_timer 29990 2 snd_pcm,snd_seq snd_seq_device 14540 3 snd_seq_midi,snd_rawmidi,snd_seq wmi 19256 1 dell_wmi snd 78855 16 snd_hda_codec_hdmi,snd_hda_codec_cirrus,snd_hda_intel,snd_hda_codec,snd_hwdep,snd_pcm,snd_rawmidi,snd_seq,snd_timer,snd_seq_device mac_hid 13253 0 i915 473240 3 drm_kms_helper 46978 1 i915 uvcvideo 72627 0 drm 242038 4 i915,drm_kms_helper videodev 98259 1 uvcvideo soundcore 15091 1 snd dell_laptop 18119 0 dcdbas 14490 1 dell_laptop i2c_algo_bit 13423 1 i915 v4l2_compat_ioctl32 17128 1 videodev snd_page_alloc 18529 2 snd_hda_intel,snd_pcm video 19596 1 i915 serio_raw 13211 0 mei 41616 0 lp 17799 0 parport 46562 3 parport_pc,ppdev,lp r8169 62099 0 sudo lshw -class network *-network UNCLAIMED description: Network controller product: Broadcom Corporation vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:07:00.0 version: 01 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: latency=0 resources: memory:f7c00000-f7c07fff *-network description: Ethernet interface product: RTL8111/8168B PCI Express Gigabit Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:09:00.0 logical name: eth0 version: 07 serial: 78:45:c4:a3:aa:65 size: 100Mbit/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=rtl8168e-3_0.0.4 03/27/12 ip=192.168.1.5 latency=0 link=yes multicast=yes port=MII speed=100Mbit/s resources: irq:41 ioport:e000(size=256) memory:f0004000-f0004fff memory:f0000000-f0003fff rfkill list all 0: dell-wifi: Wireless LAN Soft blocked: yes Hard blocked: yes 1: dell-bluetooth: Bluetooth Soft blocked: yes Hard blocked: yes Output of lspci > 00:00.0 Host bridge: Intel Corporation Ivy Bridge DRAM Controller (rev > 09) 00:02.0 VGA compatible controller: Intel Corporation Ivy Bridge > Graphics Controller (rev 09) 00:16.0 Communication controller: Intel > Corporation Panther Point MEI Controller #1 (rev 04) 00:1a.0 USB > controller: Intel Corporation Panther Point USB Enhanced Host > Controller #2 (rev 04) 00:1b.0 Audio device: Intel Corporation Panther > Point High Definition Audio Controller (rev 04) 00:1c.0 PCI bridge: > Intel Corporation Panther Point PCI Express Root Port 1 (rev c4) > 00:1c.3 PCI bridge: Intel Corporation Panther Point PCI Express Root > Port 4 (rev c4) 00:1c.5 PCI bridge: Intel Corporation Panther Point > PCI Express Root Port 6 (rev c4) 00:1d.0 USB controller: Intel > Corporation Panther Point USB Enhanced Host Controller #1 (rev 04) > 00:1f.0 ISA bridge: Intel Corporation Panther Point LPC Controller > (rev 04) 00:1f.2 SATA controller: Intel Corporation Panther Point 6 > port SATA Controller [AHCI mode] (rev 04) 00:1f.3 SMBus: Intel > Corporation Panther Point SMBus Controller (rev 04) 07:00.0 Network > controller: Broadcom Corporation Device 4365 (rev 01) 09:00.0 Ethernet > controller: Realtek Semiconductor Co., Ltd. RTL8111/8168B PCI Express > Gigabit Ethernet controller (rev 07) Output of lspci -v 0:00.0 Host bridge: Intel Corporation Ivy Bridge DRAM Controller (rev 09) Subsystem: Dell Device 0558 Flags: bus master, fast devsel, latency 0 Capabilities: <access denied> Kernel driver in use: agpgart-intel 00:02.0 VGA compatible controller: Intel Corporation Ivy Bridge Graphics Controller (rev 09) (prog-if 00 [VGA controller]) Subsystem: Dell Device 0558 Flags: bus master, fast devsel, latency 0, IRQ 43 Memory at f7800000 (64-bit, non-prefetchable) [size=4M] Memory at e0000000 (64-bit, prefetchable) [size=256M] I/O ports at f000 [size=64] Expansion ROM at <unassigned> [disabled] Capabilities: <access denied> Kernel driver in use: i915 Kernel modules: i915 00:16.0 Communication controller: Intel Corporation Panther Point MEI Controller #1 (rev 04) Subsystem: Dell Device 0558 Flags: bus master, fast devsel, latency 0, IRQ 42 Memory at f7d0a000 (64-bit, non-prefetchable) [size=16] Capabilities: <access denied> Kernel driver in use: mei Kernel modules: mei 00:1a.0 USB controller: Intel Corporation Panther Point USB Enhanced Host Controller #2 (rev 04) (prog-if 20 [EHCI]) Subsystem: Dell Device 0558 Flags: bus master, medium devsel, latency 0, IRQ 16 Memory at f7d08000 (32-bit, non-prefetchable) [size=1K] Capabilities: <access denied> Kernel driver in use: ehci_hcd 00:1b.0 Audio device: Intel Corporation Panther Point High Definition Audio Controller (rev 04) Subsystem: Dell Device 0558 Flags: bus master, fast devsel, latency 0, IRQ 44 Memory at f7d00000 (64-bit, non-prefetchable) [size=16K] Capabilities: <access denied> Kernel driver in use: snd_hda_intel Kernel modules: snd-hda-intel 00:1c.0 PCI bridge: Intel Corporation Panther Point PCI Express Root Port 1 (rev c4) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=04, subordinate=04, sec-latency=0 Capabilities: <access denied> Kernel driver in use: pcieport Kernel modules: shpchp 00:1c.3 PCI bridge: Intel Corporation Panther Point PCI Express Root Port 4 (rev c4) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=07, subordinate=07, sec-latency=0 Memory behind bridge: f7c00000-f7cfffff Capabilities: <access denied> Kernel driver in use: pcieport Kernel modules: shpchp 00:1c.5 PCI bridge: Intel Corporation Panther Point PCI Express Root Port 6 (rev c4) (prog-if 00 [Normal decode]) Flags: bus master, fast devsel, latency 0 Bus: primary=00, secondary=09, subordinate=09, sec-latency=0 I/O behind bridge: 0000e000-0000efff Prefetchable memory behind bridge: 00000000f0000000-00000000f00fffff Capabilities: <access denied> Kernel driver in use: pcieport Kernel modules: shpchp 00:1d.0 USB controller: Intel Corporation Panther Point USB Enhanced Host Controller #1 (rev 04) (prog-if 20 [EHCI]) Subsystem: Dell Device 0558 Flags: bus master, medium devsel, latency 0, IRQ 23 Memory at f7d07000 (32-bit, non-prefetchable) [size=1K] Capabilities: <access denied> Kernel driver in use: ehci_hcd 00:1f.0 ISA bridge: Intel Corporation Panther Point LPC Controller (rev 04) Subsystem: Dell Device 0558 Flags: bus master, medium devsel, latency 0 Capabilities: <access denied> Kernel modules: iTCO_wdt 00:1f.2 SATA controller: Intel Corporation Panther Point 6 port SATA Controller [AHCI mode] (rev 04) (prog-if 01 [AHCI 1.0]) Subsystem: Dell Device 0558 Flags: bus master, 66MHz, medium devsel, latency 0, IRQ 40 I/O ports at f0b0 [size=8] I/O ports at f0a0 [size=4] I/O ports at f090 [size=8] I/O ports at f080 [size=4] I/O ports at f060 [size=32] Memory at f7d06000 (32-bit, non-prefetchable) [size=2K] Capabilities: <access denied> Kernel driver in use: ahci 00:1f.3 SMBus: Intel Corporation Panther Point SMBus Controller (rev 04) Subsystem: Dell Device 0558 Flags: medium devsel, IRQ 11 Memory at f7d05000 (64-bit, non-prefetchable) [size=256] I/O ports at f040 [size=32] Kernel modules: i2c-i801 07:00.0 Network controller: Broadcom Corporation Device 4365 (rev 01) Subsystem: Dell Device 0016 Flags: bus master, fast devsel, latency 0, IRQ 10 Memory at f7c00000 (64-bit, non-prefetchable) [size=32K] Capabilities: <access denied> 09:00.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL8111/8168B PCI Express Gigabit Ethernet controller (rev 07) Subsystem: Dell Device 0558 Flags: bus master, fast devsel, latency 0, IRQ 41 I/O ports at e000 [size=256] Memory at f0004000 (64-bit, prefetchable) [size=4K] Memory at f0000000 (64-bit, prefetchable) [size=16K] Capabilities: <access denied> Kernel driver in use: r8169 Kernel modules: r8169

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• Would knowing Python help with creating iPhone applications?

  - by Josh

  Here is what the apple site says: With Snow Leopard, Mac OS X makes it easy to use scripting languages as full application development tools. Snow Leopard ships with support for the RubyCocoa Bridge and the PyObjC bridge. These two bridges give developers access not only to system APIs, but to Cocoa frameworks such as AppKit and Core Data, enabling you to build fully native Mac OS X applications in Ruby or Python. The RubyCocoa and PyObjC bridges allow you to freely mix code written in Objective-C with code written in the scripting language. You can quickly build prototypes and then optimise by implementing performance-critical pieces in Objective-C. How could Python help in this case?

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• Integrating application ad-support - best practice

  - by Jarede

  Considering the review that came out in March: Researchers from Purdue University in collaboration with Microsoft claim that third-party advertising in free smartphone apps can be responsible for as much as 65 percent to 75 percent of an app's energy consumption. Is there a best practice for integrating advert support into mobile applications, so as to not drain user battery too much. When you fire up Angry Birds on your Android phone, the researchers found that the core gaming component only consumes about 18 percent of total app energy. The biggest battery suck comes from the software powering third-party ads and analytics accounting for 45 percent of total app energy, according to the study. Has anyone invoked better ways of keeping away from the "3G Tail", as the report puts it. Is it better/possible to download a large set of adverts that are cached for a few hours, and using them to populate your ad space, to avoid constant use of the wifi/3g radios. Are there any best practices for the inclusion of adverts in mobile apps?

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• Skipping video and audio with PS3MediaServer

  - by MaxMackie

  I'm using the latest PS3MediaServer build right from the repos suggested in the Ubuntu Wiki. I'm streaming multiple movies from my server (Ubuntu 10.04 LTS) to my PS3 over wireless. Sometimes, during some movies, the audio and the video will begin skipping. This can last anywhere between 5 and 30 seconds before it goes back to normal. I have a four core i5 processor and 8GB of DDR3 RAM so I don't think my computer is having a hard time keeping up with the transcoding. So this leads me to believe it's either sub-optimal transcoding options from within PS3MS or my network can't handle the heat. Other than the out-of-box configuration, is there any way I can tweak the settings for the application to use my resources more efficiently?

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• NVIDIA x server - "sudo nvidia config" does not generate a working 'xorg.config'

  - by Mike

  I am over 18 hours deep on this challenge. I got to this point and am stuck. very stuck. Maybe you can figure it out? Ubuntu Version 12.04 LTS with all the updates installed. Problem: The default settings in "etc/X11/xorg.conf" that are generated by the "nvidia-xconfig" tool, do not allow the NVIDIA x server to connect to the driver in my "System Settings Additional Driver window". (that's how I understand it. Lots of information below). Symptoms of Problem "System Settings Additional Driver" window has drivers, but the nvidia x server cannot connect/utilize any of the 4 drivers. the drivers are activated, but not in use. When I go to "System Tools Administration NVIDIA x server settings" I get an error that basically tells me to create a default file to initialize the NVIDIA X server (screen shot below). This is the messages the terminal gives after running a "sudo nvidia-xconfig" command for the first time. It seems that the generated file by the tool i just ran is generating a bad/unusable file: If I run the "sudo nvidia-xconfig" command again, I wont get an error the second time. However when I reboot, the default file that is generated (etc/X11/xorg.conf) simply puts the screen resolution at 800 x 600 (or something big like that). When I try to go to NVIDIA x server settings I am greeted with the same screen as the screen shot as in symptom 2 (no option to change the resolution). If I try to go to "system settings display" there are no other resolutions to choose from. At this point I must delete the newly minted "xorg.conf" and reinstate the original in its place. Here are the contents of the "xorg.conf" that is generated first (the one missing required information): # nvidia-xconfig: X configuration file generated by nvidia-xconfig # nvidia-xconfig: version 304.88 (buildmeister@swio-display-x86-rhel47-06) Wed Mar 27 15:32:58 PDT 2013 Section "ServerLayout" Identifier "Layout0" Screen 0 "Screen0" InputDevice "Keyboard0" "CoreKeyboard" InputDevice "Mouse0" "CorePointer" EndSection Section "Files" EndSection Section "InputDevice" # generated from default Identifier "Mouse0" Driver "mouse" Option "Protocol" "auto" Option "Device" "/dev/psaux" Option "Emulate3Buttons" "no" Option "ZAxisMapping" "4 5" EndSection Section "InputDevice" # generated from default Identifier "Keyboard0" Driver "kbd" EndSection Section "Monitor" Identifier "Monitor0" VendorName "Unknown" ModelName "Unknown" HorizSync 28.0 - 33.0 VertRefresh 43.0 - 72.0 Option "DPMS" EndSection Section "Device" Identifier "Device0" Driver "nvidia" VendorName "NVIDIA Corporation" EndSection Section "Screen" Identifier "Screen0" Device "Device0" Monitor "Monitor0" DefaultDepth 24 SubSection "Display" Depth 24 EndSubSection EndSection Hardware: I ran the "lspci|grep VGA". There results are: 00:02.0 VGA compatible controller: Intel Corporation 2nd Generation Core Processor Family Integrated Graphics Controller (rev 09) 01:00.0 VGA compatible controller: NVIDIA Corporation GF108 [Quadro 1000M] (rev a1) More Hardware info: Ram: 16GB CPU: Intel Core i7-2720QM @2.2GHz * 8 Other: 64 bit. This is a triple boot computer and not a VM. Attempts With Not Success on My End: 1) Tried to append the "xorg.conf" with what I perceive is missing information and obviously it didn't fly. 2) All the other stuff I tried got me to this point. 3) See if this link is helpful to you (I barely get it, but i get enough knowing that a smarter person might find this useful): http://manpages.ubuntu.com/manpages/lucid/man1/nvidia-xconfig.1.html 4) I am completely new to Linux (40 hours over past week), but not to programming. However I am very serious about changing over to Linux. When you respond (I hope someone responds...) please respond in a way that a person new to Linux can understand. 5) By the way, the reason I am in this mess is because I MUST have a second monitor running from my laptop, and "System Settings Display" doesn't recognize my second display. I know it is possible to make the second display work in my system, because when I boot from the install CD, I perform work on the native laptop monitor, but the second monitor shows a purple screen with Ubuntu in the middle, so I know the VGA port is sending a signal out. If this is too much for you to tackle please suggest an alternative method to get a second display. I don't want to go to windows but I cannot have a single display. I am really fudged here. I hope some smart person can help. Thanks in advance. Mike. **********************EDIT #1********************** More Details About Graphics Card I was asked "which brand of nvidia-card do you have exactly?" Here is what I did to provide more info (maybe relevant, maybe not, but here is everything): 1) Took my Lenovo W520 right apart to see if there is an identifier on the actual card. However I realized that if I get deep enough to take a look, the laptop "won't like it". so I put it back together. Figuring out the card this way is not an option for me right now. 2) (My computer is triple boot) I logged into Win7 and ran 'dxdiag' command. here is the screen shot: 3) I tried to look on the lenovo website for more details... but no luck. I took a look at my receipts and here is info form receipt: System Unit: W520 NVIDIA Quadro 1000M 2GB 4) In win7 I went to the NVIDIA website and used the option to have my card 'scanned' by a Java applet to determine the latest update for my card. I tried the same with Ubuntu but I can't get the applet to run. Here is the recommended driver from from the NVIDIA Applet for my card for Win7 (I hope this shines some light on the specifics of the card): Quadro/NVS/Tesla/GRID Desktop Driver Release R319 Version: 320.00 WHQL Release Date: 3.5.2013 5) Also I went on the NVIDIA driver search and looked through every possible combination of product type + product series + product to find all the combinations that yield a 1000M card. My card is: Product Type: Quadro Product Series: Quadro Series (Notebooks) Product: 1000M ***********************EDIT #2******************* Additional Symptoms Another question that generated more symptoms I previously didn't mention was: "After generating xorg.conf by nvidia-xconfig, go to additional drivers, do you see nvidia-304?" 1) I took a screen shot of the "additional drivers" right after generating xorg.conf by nvidia-xconfig. Here it is: 2) Then I did a reboot. Now Ubuntu is 600 x 800 resolution. When I logged in after the computer came up I got an error (which I always get after generating xorg.conf by nvidia-xconfig and rebooting) 3) To finally answer the question - No. There is no "NVIDIA-304" driver. Screen shot of additional drivers after generating xorg.conf by nvidia-xconfig and rebooting : At this point I revert to the original xorg.conf and delete the xorg.conf generated by Nvidia.

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• Nautilus will not launch after update to 12.10

  - by dereksalerno

  I updated to Ubuntu 12.10 today from 12.04 using the graphical update tool. Everything seemed to be fine until I went to open Nautilus, and it would not open. Bizarrely, I am able to open a file that I happen to have on my desktop, but when I click on the launcher, it never opens. When I enter 'nautilus' in the terminal, I get this: (nautilus:8557): Gdk-CRITICAL **: gdk_x11_display_get_xdisplay: assertion `GDK_IS_DISPLAY (display)' failed zsh: segmentation fault (core dumped) nautilus I am not a total novice with ubuntu or linux, but all I can tell is that there is some problem with X. Can someone please point me in the right direction as far as fixing this? I really don't want to have to do a fresh install. Thank you very much.

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• Speaking tomorrow @ JAX, Mainz, Germany

  - by terrencebarr

  Just a quick note: I’ll be speaking at the JAX conference in Mainz, Germany, tomorrow: “JavaFX 2: Java, RIA, Web, and more”, April 17, 18:00 The talk will be giving an overview of JavaFX 2.0, top features, demos, tools, and the roadmap of what’s in store for the technology in 2012 and beyond. Also, be sure to check out the other Oracle sessions: “Java everywhere – The Vision becomes true, again”, Dennis Leung, April 17, 9:00 “Die Oracle-Java-Plattformstrategie zeigt klare Konturen”, Wolfgang Weigend, April 18, 17:30 “Lambdas in Java 8: their Design and Implementation”, Maurizio Cimadamore, April 18, 17:30 “OpenJDK Build Workshop”, Frederik Öhrström, April 18, 20:45 “The Future of Java on Multi-Core, Lambdas, Spliterators and Methods“, Frederik Öhrström, April 19, 10:15 For a complete list of all sessions, see here. Cheers, – Terrence Filed under: Mobile & Embedded Tagged: JavaFX, JAX

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• C# Adds Optional and Named Arguments

  Earlier this month Microsoft released Visual Studio 2010, the .NET Framework 4.0 (which includes ASP.NET 4.0), and new versions of their core programming languages: C# 4.0 and Visual Basic 10. In designing the latest versions of C# and VB, Microsoft has worked to bring the two languages into closer parity. Certain features available in C# were missing in VB, and vice-a-versa. Last week I wrote about <a href="http://www.4guysfromrolla.com/articles/042110-1.aspx">Visual Basic 2010's language enhancements</a>, which include implicit line continuation, auto-implemented properties, and collection initializers - three useful features that were available in previous versions of C#. Similarly, C# 4.0 introduces new features to the C# programming language that were

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• Physics engine that can handle multiple attractors?

  - by brice

  I'm putting together a game that will be played mostly with three dimensional gravity. By that I mean multiple planets/stars/moons behaving realistically, and path plotting and path prediction in the gravity field. I have looked at a variety of physics engines, such as Bullet, tokamak or Newton, but none of them seem to be suitable, as I'd essentially have to re-write the gravity engine in their framework. Do you know of a physics engine that is capable of dealing with multiple bodies all attracted to one another? I don't need scenegraph management, or rendering, just core physics. (collision detection would be a bonus, as would rigid body dynamics). My background is in physics, so I would be able to write an engine that uses Verlet integration or RK4 (or even Euler integration, if I had to) but I'd much rather adapt an off the shelf solution. [edit]: There are some great resources for physics simulation of n-body problems online, and on stackoverflow

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• First time shadow mapping problems

  - by user1294203

  I have implemented basic shadow mapping for the first time in OpenGL using shaders and I'm facing some problems. Below you can see an example of my rendered scene: The process of the shadow mapping I'm following is that I render the scene to the framebuffer using a View Matrix from the light point of view and the projection and model matrices used for normal rendering. In the second pass, I send the above MVP matrix from the light point of view to the vertex shader which transforms the position to light space. The fragment shader does the perspective divide and changes the position to texture coordinates. Here is my vertex shader, #version 150 core uniform mat4 ModelViewMatrix; uniform mat3 NormalMatrix; uniform mat4 MVPMatrix; uniform mat4 lightMVP; uniform float scale; in vec3 in_Position; in vec3 in_Normal; in vec2 in_TexCoord; smooth out vec3 pass_Normal; smooth out vec3 pass_Position; smooth out vec2 TexCoord; smooth out vec4 lightspace_Position; void main(void){ pass_Normal = NormalMatrix * in_Normal; pass_Position = (ModelViewMatrix * vec4(scale * in_Position, 1.0)).xyz; lightspace_Position = lightMVP * vec4(scale * in_Position, 1.0); TexCoord = in_TexCoord; gl_Position = MVPMatrix * vec4(scale * in_Position, 1.0); } And my fragment shader, #version 150 core struct Light{ vec3 direction; }; uniform Light light; uniform sampler2D inSampler; uniform sampler2D inShadowMap; smooth in vec3 pass_Normal; smooth in vec3 pass_Position; smooth in vec2 TexCoord; smooth in vec4 lightspace_Position; out vec4 out_Color; float CalcShadowFactor(vec4 lightspace_Position){ vec3 ProjectionCoords = lightspace_Position.xyz / lightspace_Position.w; vec2 UVCoords; UVCoords.x = 0.5 * ProjectionCoords.x + 0.5; UVCoords.y = 0.5 * ProjectionCoords.y + 0.5; float Depth = texture(inShadowMap, UVCoords).x; if(Depth < (ProjectionCoords.z + 0.001)) return 0.5; else return 1.0; } void main(void){ vec3 Normal = normalize(pass_Normal); vec3 light_Direction = -normalize(light.direction); vec3 camera_Direction = normalize(-pass_Position); vec3 half_vector = normalize(camera_Direction + light_Direction); float diffuse = max(0.2, dot(Normal, light_Direction)); vec3 temp_Color = diffuse * vec3(1.0); float specular = max( 0.0, dot( Normal, half_vector) ); float shadowFactor = CalcShadowFactor(lightspace_Position); if(diffuse != 0 && shadowFactor > 0.5){ float fspecular = pow(specular, 128.0); temp_Color += fspecular; } out_Color = vec4(shadowFactor * texture(inSampler, TexCoord).xyz * temp_Color, 1.0); } One of the problems is self shadowing as you can see in the picture, the crate has its own shadow cast on itself. What I have tried is enabling polygon offset (i.e. glEnable(POLYGON_OFFSET_FILL), glPolygonOffset(GLfloat, GLfloat) ) but it didn't change much. As you see in the fragment shader, I have put a static offset value of 0.001 but I have to change the value depending on the distance of the light to get more desirable effects , which not very handy. I also tried using front face culling when I render to the framebuffer, that didn't change much too. The other problem is that pixels outside the Light's view frustum get shaded. The only object that is supposed to be able to cast shadows is the crate. I guess I should pick more appropriate projection and view matrices, but I'm not sure how to do that. What are some common practices, should I pick an orthographic projection? From googling around a bit, I understand that these issues are not that trivial. Does anyone have any easy to implement solutions to these problems. Could you give me some additional tips? Please ask me if you need more information on my code. Here is a comparison with and without shadow mapping of a close-up of the crate. The self-shadowing is more visible.

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• AI Game Programming : Bayesian Networks, how to make efficient?

  - by Mahbubur R Aaman

  We know that AI is one of the most important part of Game Programming. Bayesian networks is one of the core part of AI at Game Programming. Bayesian networks are graphs that compactly represent the relationship between random variables for a given problem. These graphs aid in performing reasoning or decision making in the face of uncertainty. Here me, utilizing the monte carlo method and genetic algorithms. But tooks much time and sometimes crashes due to memory. Is there any way to implement efficiently?

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