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  • Recap: Oracle Fusion Middleware Strategies Driving Business Innovation

    - by Harish Gaur
    Hasan Rizvi, Executive Vice President of Oracle Fusion Middleware & Java took the stage on Tuesday to discuss how Oracle Fusion Middleware helps enable business innovation. Through a series of product demos and customer showcases, Hassan demonstrated how Oracle Fusion Middleware is a complete platform to harness the latest technological innovations (cloud, mobile, social and Fast Data) throughout the application lifecycle. Fig 1: Oracle Fusion Middleware is the foundation of business innovation This Session included 4 demonstrations to illustrate these strategies: 1. Build and deploy native mobile applications using Oracle ADF Mobile 2. Empower business user to model processes, design user interface and have rich mobile experience for process interaction using Oracle BPM Suite PS6. 3. Create collaborative user experience and integrate social sign-on using Oracle WebCenter Portal, Oracle WebCenter Content, Oracle Social Network & Oracle Identity Management 11g R2 4. Deploy and manage business applications on Oracle Exalogic Nike, LA Department of Water & Power and Nintendo joined Hasan on stage to share how their organizations are leveraging Oracle Fusion Middleware to enable business innovation. Managing Performance in the Wrld of Social and Mobile How do you provide predictable scalability and performance for an application that monitors active lifestyle of 8 million users on a daily basis? Nike’s answer is Oracle Coherence, a component of Oracle Fusion Middleware and Oracle Exadata. Fig 2: Oracle Coherence enabled data grid improves performance of Nike+ Digital Sports Platform Nicole Otto, Sr. Director of Consumer Digital Technology discussed the vision of the Nike+ platform, a platform which represents a shift for NIKE from a  "product"  to  a "product +" experience.  There are currently nearly 8 million users in the Nike+ system who are using digitally-enabled Nike+ devices.  Once data from the Nike+ device is transmitted to Nike+ application, users access the Nike+ website or via the Nike mobile applicatoin, seeing metrics around their daily active lifestyle and even engage in socially compelling experiences to compare, compete or collaborate their data with their friends. Nike expects the number of users to grow significantly this year which will drive an explosion of data and potential new experiences. To deal with this challenge, Nike envisioned building a shared platform that would drive a consumer-centric model for the company. Nike built this new platform using Oracle Coherence and Oracle Exadata. Using Coherence, Nike built a data grid tier as a distributed cache, thereby provide low-latency access to most recent and relevant data to consumers. Nicole discussed how Nike+ Digital Sports Platform is unique in the way that it utilizes the Coherence Grid.  Nike takes advantage of Coherence as a traditional cache using both cache-aside and cache-through patterns.  This new tier has enabled Nike to create a horizontally scalable distributed event-driven processing architecture. Current data grid volume is approximately 150,000 request per minute with about 40 million objects at any given time on the grid. Improving Customer Experience Across Multiple Channels Customer experience is on top of every CIO's mind. Customer Experience needs to be consistent and secure across multiple devices consumers may use.  This is the challenge Matt Lampe, CIO of Los Angeles Department of Water & Power (LADWP) was faced with. Despite being the largest utilities company in the country, LADWP had been relying on a 38 year old customer information system for serving its customers. Their prior system  had been unable to keep up with growing customer demands. Last year, LADWP embarked on a journey to improve customer experience for 1.6million LA DWP customers using Oracle WebCenter platform. Figure 3: Multi channel & Multi lingual LADWP.com built using Oracle WebCenter & Oracle Identity Management platform Matt shed light on his efforts to drive customer self-service across 3 dimensions – new website, new IVR platform and new bill payment service. LADWP has built a new portal to increase customer self-service while reducing the transactions via IVR. LADWP's website is powered Oracle WebCenter Portal and is accessible by desktop and mobile devices. By leveraging Oracle WebCenter, LADWP eliminated the need to build, format, and maintain individual mobile applications or websites for different devices. Their entire content is managed using Oracle WebCenter Content and secured using Oracle Identity Management. This new portal automated their paper based processes to web based workflows for customers. This includes automation of Self Service implemented through My Account -  like Bill Pay, Payment History, Bill History and Usage Analysis. LADWP's solution went live in April 2012. Matt indicated that LADWP's Self-Service Portal has greatly improved customer satisfaction.  In a JD Power Associates website satisfaction survey, results indicate rankings have climbed by 25+ points, marking a remarkable increase in user experience. Bolstering Performance and Simplifying Manageability of Business Applications Ingvar Petursson, Senior Vice Preisdent of IT at Nintendo America joined Hasan on-stage to discuss their choice of Exalogic. Nintendo had significant new requirements coming their way for business systems, both internal and external, in the years to come, especially with new products like the WiiU on the horizon this holiday season. Nintendo needed a platform that could give them performance, availability and ease of management as they deploy business systems. Ingvar selected Engineered Systems for two reasons: 1. High performance  2. Ease of management Figure 4: Nintendo relies on Oracle Exalogic to run ATG eCommerce, Oracle e-Business Suite and several business applications Nintendo made a decision to run their business applications (ATG eCommerce, E-Business Suite) and several Fusion Middleware components on the Exalogic platform. What impressed Ingvar was the "stress” testing results during evaluation. Oracle Exalogic could handle their 3-year load estimates for many functions, which was better than Nintendo expected without any hardware expansion. Faster Processing of Big Data Middleware plays an increasingly important role in Big Data. Last year, we announced at OpenWorld the introduction of Oracle Data Integrator for Hadoop and Oracle Loader for Hadoop which helps in the ability to move, transform, load data to and from Big Data Appliance to Exadata.  This year, we’ve added new capabilities to find, filter, and focus data using Oracle Event Processing. This product can natively integrate with Big Data Appliance or runs standalone. Hasan briefly discussed how NTT Docomo, largest mobile operator in Japan, leverages Oracle Event Processing & Oracle Coherence to process mobile data (from 13 million smartphone users) at a speed of 700K events per second before feeding it Hadoop for distributed processing of big data. Figure 5: Mobile traffic data processing at NTT Docomo with Oracle Event Processing & Oracle Coherence    

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  • Package management fails in update-manager with gzip problems and compilation errors. U12.04LTS

    - by HarveyP
    Similar to but not the same as Package management system corrupted. Cannot install or remove packages. U12.04LTS (an earlier problem) with package management system. Followed all of L. D. James suggestions in his answer to no avail. This time as well as the gzip error I am also getting compilation errors. The difference may be due to a lack of compilation in my earlier problem so it may be the same error. The packages concerned are enumerated in the output from update-manager below. Also included below that is the output from apt-get -f install apt-get autoremove gives same output. Tried update without SSL updates - 9 to install and got "Unhandled Error in aptdaemon". Output number 3 below. One at a time - output 4 - is for firefox, first in the list of packages. Falls over at libssl1.0.0 despite deselection of it from update ... Tried apt-get install --reinstall dpkg which succeeded, apt-get install --reinstall tar and apt-get install --reinstall gzip both of which failed at libssl1.0.0 as ever. (as suggested by Subv3rsion elsewhere in this forum) Now cannot apt-get update with complete success even after changing server and apt-get clean - output number 5 below ... 1). Output from update-manager The following packages will be upgraded:<> firefox firefox-globalmenu firefox-locale-en libavcodec-extra-53 libavformat53 libavutil-extra-51 libjson0 libpostproc52 libssl1.0.0 libswscale2 openssl 11 to upgrade, 0 to newly install, 0 to remove and 0 not to upgrade.<br> Need to get 0 B/46.5 MB of archives. After this operation, 1,416 kB of additional disk space will be used.<br> Do you want to continue [Y/n]? y debconf: Perl may be unconfigured (Bareword "gensym" not allowed while "strict subs" in use at /usr/lib/perl/5.14/IO/Handle.pm line 67. BEGIN not safe after errors--compilation aborted at /usr/lib/perl/5.14/IO/Handle.pm line 366. Compilation failed in require at /usr/lib/perl/5.14/IO/Seekable.pm line 9. BEGIN failed--compilation aborted at /usr/lib/perl/5.14/IO/Seekable.pm line 9. Compilation failed in require at /usr/lib/perl/5.14/IO/File.pm line 11. BEGIN failed--compilation aborted at /usr/lib/perl/5.14/IO/File.pm line 11. Compilation failed in require at /usr/share/perl/5.14/FileHandle.pm line 9. Compilation failed in require at (eval 1) line 3. BEGIN failed--compilation aborted at (eval 1) line 3. ) -- aborting (Reading database ... 160575 files and directories currently installed.) Preparing to replace libssl1.0.0 1.0.1-4ubuntu5.14 (using .../libssl1.0.0_1.0.1-4ubuntu5.15_i386.deb) ... Unpacking replacement libssl1.0.0 ... dpkg-deb (subprocess): data: internal gzip read error: '<fd:4>: data error' dpkg-deb: error: subprocess <decompress> returned error exit status 2 dpkg: error processing /var/cache/apt/archives/libssl1.0.0_1.0.1-4ubuntu5.15_i386.deb (--unpack):<br> subprocess dpkg-deb --fsys-tarfile returned error exit status 2 No apport report written because MaxReports has already been reached Bareword "gensym" not allowed while "strict subs" in use at /usr/lib/perl/5.14/IO/Handle.pm line 67. BEGIN not safe after errors--compilation aborted at /usr/lib/perl/5.14/IO/Handle.pm line 366. Compilation failed in require at /usr/lib/perl/5.14/IO/Seekable.pm line 9. BEGIN failed--compilation aborted at /usr/lib/perl/5.14/IO/Seekable.pm line 9. Compilation failed in require at /usr/lib/perl/5.14/IO/File.pm line 11. BEGIN failed--compilation aborted at /usr/lib/perl/5.14/IO/File.pm line 11. Compilation failed in require at /usr/share/perl/5.14/FileHandle.pm line 9. Compilation failed in require at /usr/share/perl5/Debconf/Template.pm line 8. BEGIN failed--compilation aborted at /usr/share/perl5/Debconf/Template.pm line 8. Compilation failed in require at /usr/share/perl5/Debconf/Question.pm line 8. BEGIN failed--compilation aborted at /usr/share/perl5/Debconf/Question.pm line 8. Compilation failed in require at /usr/share/perl5/Debconf/Config.pm line 7. BEGIN failed--compilation aborted at /usr/share/perl5/Debconf/Config.pm line 7. Compilation failed in require at /usr/share/perl5/Debconf/Log.pm line 10. Compilation failed in require at /usr/share/perl5/Debconf/Db.pm line 7. BEGIN failed--compilation aborted at /usr/share/perl5/Debconf/Db.pm line 7. Compilation failed in require at /usr/share/debconf/frontend line 6. BEGIN failed--compilation aborted at /usr/share/debconf/frontend line 6. dpkg: error whale cleanang up: subprgcess installed post-installation script returned error exit status 2 Errors were encountered while processing: /var/cache/apt/archives/libssl1.0.0_1.0.1-4ubuntu5.15_i386.deb E: Sub-process /usr/bin/dpkg returned an error code (1) 2). Output from install -f harveyp@harveyp:~$ sudo apt-get -f install [sudo] password for harveyp: Reading package lists... Done Building dependency tree Reading state information... Done 0 to upgrade, 0 to newly install, 0 to remove and 11 not to upgrade. 1 not fully installed or removed.<br> After this operation, 0 B of additional disk space will be used. E: Internal Error, No file name for libssl1.0.0 3). Unhandled error from aptdaemon Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 1045, in _simulate trans.unauthenticated = self.__simulate(trans) File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 1160, in __simulate unauthenticated = self._get_unauthenticated() File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 347, in _get_unauthenticated for pkg in self._iterate_packages(): File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 1356, in _iterate_packages for enum, pkg in enumerate(self._cache): File "/usr/lib/python2.7/dist-packages/apt/cache.py", line 216, in __iter__ yield self[pkgname] File "/usr/lib/python2.7/dist-packages/apt/cache.py", line 201, in __getitem__ pkg = self._weakref[key] = Package(self, self._cache[key]) KeyError: 'librqrcode-rubq-doc 4). output from update of firefox installArchives() failed: Error in function: < Setting up libssl1.0.0 (1.0.1-4ubuntu5.14) ... Bareword "gensym" not allowed while "strict subs" in use at /usr/lib/perl/5.14/IO/Handle.pm line 67. BEGIN not safe after errors--compilation aborted at /usr/lib/perl/5.14/IO/Handle.pm line 366. Compilation failed in require at /usr/lib/perl/5.14/IO/Seekable.pm line 9. BEGIN failed--compilation aborted at /usr/lib/perl/5.14/IO/Seekable.pm line 9. Compilation failed in require at /usr/lib/perl/5.14/IO/File.pm line 11. BEGIN failed--compilation aborted at /usr/lib/perl/5.14/IO/File.pm line 11. Compilation failed in require at /usr/share/perl/5.14/FileHandle.pm line 9. Compilation failed in require at /usr/share/perl5/Debconf/Template.pm line 8. BEGIN failed--compilation aborted at /usr/share/perl5/Debconf/Template.pm line 8. Compilation failed in require at /usr/share/perl5/Debconf/Question.pm line 8. BEGIN failed--compilation aborted at /usr/share/perl5/Debconf/Question.pm line 8. Compilation failed in require at /usr/share/perl5/Debconf/Config.pm line 7. BEGIN failed--compilation aborted at /usr/share/perl5/Debconf/Config.pm line 7. Compilation failed in require at /usr/share/perl5/Debconf/Log.pm line 10. 5. output from apt-get update ...snip ... Hit http://ubuntu-archive.mirrors.free.org precise-security/multiverse Translation-en Hit http://ubuntu-archive.mirrors.free.org precise-security/restricted Translation-en Hit http://ubuntu-archive.mirrors.free.org precise-security/universe Translation-en Fetched 368 kB in 6s (59.5 kB/s) W: Failed to fetch gzip:/var/lib/apt/lists/partial/ubuntu-archive.mirrors.free.org_ubuntu_dists_precise_universe_source_Sources Hash Sum mismatch E: Some index files failed to download. They have been ignored, or old ones used instead.

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  • The SSIS tuning tip that everyone misses

    - by Rob Farley
    I know that everyone misses this, because I’m yet to find someone who doesn’t have a bit of an epiphany when I describe this. When tuning Data Flows in SQL Server Integration Services, people see the Data Flow as moving from the Source to the Destination, passing through a number of transformations. What people don’t consider is the Source, getting the data out of a database. Remember, the source of data for your Data Flow is not your Source Component. It’s wherever the data is, within your database, probably on a disk somewhere. You need to tune your query to optimise it for SSIS, and this is what most people fail to do. I’m not suggesting that people don’t tune their queries – there’s plenty of information out there about making sure that your queries run as fast as possible. But for SSIS, it’s not about how fast your query runs. Let me say that again, but in bolder text: The speed of an SSIS Source is not about how fast your query runs. If your query is used in a Source component for SSIS, the thing that matters is how fast it starts returning data. In particular, those first 10,000 rows to populate that first buffer, ready to pass down the rest of the transformations on its way to the Destination. Let’s look at a very simple query as an example, using the AdventureWorks database: We’re picking the different Weight values out of the Product table, and it’s doing this by scanning the table and doing a Sort. It’s a Distinct Sort, which means that the duplicates are discarded. It'll be no surprise to see that the data produced is sorted. Obvious, I know, but I'm making a comparison to what I'll do later. Before I explain the problem here, let me jump back into the SSIS world... If you’ve investigated how to tune an SSIS flow, then you’ll know that some SSIS Data Flow Transformations are known to be Blocking, some are Partially Blocking, and some are simply Row transformations. Take the SSIS Sort transformation, for example. I’m using a larger data set for this, because my small list of Weights won’t demonstrate it well enough. Seven buffers of data came out of the source, but none of them could be pushed past the Sort operator, just in case the last buffer contained the data that would be sorted into the first buffer. This is a blocking operation. Back in the land of T-SQL, we consider our Distinct Sort operator. It’s also blocking. It won’t let data through until it’s seen all of it. If you weren’t okay with blocking operations in SSIS, why would you be happy with them in an execution plan? The source of your data is not your OLE DB Source. Remember this. The source of your data is the NCIX/CIX/Heap from which it’s being pulled. Picture it like this... the data flowing from the Clustered Index, through the Distinct Sort operator, into the SELECT operator, where a series of SSIS Buffers are populated, flowing (as they get full) down through the SSIS transformations. Alright, I know that I’m taking some liberties here, because the two queries aren’t the same, but consider the visual. The data is flowing from your disk and through your execution plan before it reaches SSIS, so you could easily find that a blocking operation in your plan is just as painful as a blocking operation in your SSIS Data Flow. Luckily, T-SQL gives us a brilliant query hint to help avoid this. OPTION (FAST 10000) This hint means that it will choose a query which will optimise for the first 10,000 rows – the default SSIS buffer size. And the effect can be quite significant. First let’s consider a simple example, then we’ll look at a larger one. Consider our weights. We don’t have 10,000, so I’m going to use OPTION (FAST 1) instead. You’ll notice that the query is more expensive, using a Flow Distinct operator instead of the Distinct Sort. This operator is consuming 84% of the query, instead of the 59% we saw from the Distinct Sort. But the first row could be returned quicker – a Flow Distinct operator is non-blocking. The data here isn’t sorted, of course. It’s in the same order that it came out of the index, just with duplicates removed. As soon as a Flow Distinct sees a value that it hasn’t come across before, it pushes it out to the operator on its left. It still has to maintain the list of what it’s seen so far, but by handling it one row at a time, it can push rows through quicker. Overall, it’s a lot more work than the Distinct Sort, but if the priority is the first few rows, then perhaps that’s exactly what we want. The Query Optimizer seems to do this by optimising the query as if there were only one row coming through: This 1 row estimation is caused by the Query Optimizer imagining the SELECT operation saying “Give me one row” first, and this message being passed all the way along. The request might not make it all the way back to the source, but in my simple example, it does. I hope this simple example has helped you understand the significance of the blocking operator. Now I’m going to show you an example on a much larger data set. This data was fetching about 780,000 rows, and these are the Estimated Plans. The data needed to be Sorted, to support further SSIS operations that needed that. First, without the hint. ...and now with OPTION (FAST 10000): A very different plan, I’m sure you’ll agree. In case you’re curious, those arrows in the top one are 780,000 rows in size. In the second, they’re estimated to be 10,000, although the Actual figures end up being 780,000. The top one definitely runs faster. It finished several times faster than the second one. With the amount of data being considered, these numbers were in minutes. Look at the second one – it’s doing Nested Loops, across 780,000 rows! That’s not generally recommended at all. That’s “Go and make yourself a coffee” time. In this case, it was about six or seven minutes. The faster one finished in about a minute. But in SSIS-land, things are different. The particular data flow that was consuming this data was significant. It was being pumped into a Script Component to process each row based on previous rows, creating about a dozen different flows. The data flow would take roughly ten minutes to run – ten minutes from when the data first appeared. The query that completes faster – chosen by the Query Optimizer with no hints, based on accurate statistics (rather than pretending the numbers are smaller) – would take a minute to start getting the data into SSIS, at which point the ten-minute flow would start, taking eleven minutes to complete. The query that took longer – chosen by the Query Optimizer pretending it only wanted the first 10,000 rows – would take only ten seconds to fill the first buffer. Despite the fact that it might have taken the database another six or seven minutes to get the data out, SSIS didn’t care. Every time it wanted the next buffer of data, it was already available, and the whole process finished in about ten minutes and ten seconds. When debugging SSIS, you run the package, and sit there waiting to see the Debug information start appearing. You look for the numbers on the data flow, and seeing operators going Yellow and Green. Without the hint, I’d sit there for a minute. With the hint, just ten seconds. You can imagine which one I preferred. By adding this hint, it felt like a magic wand had been waved across the query, to make it run several times faster. It wasn’t the case at all – but it felt like it to SSIS.

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  • Das T5-4 TPC-H Ergebnis naeher betrachtet

    - by Stefan Hinker
    Inzwischen haben vermutlich viele das neue TPC-H Ergebnis der SPARC T5-4 gesehen, das am 7. Juni bei der TPC eingereicht wurde.  Die wesentlichen Punkte dieses Benchmarks wurden wie gewohnt bereits von unserer Benchmark-Truppe auf  "BestPerf" zusammengefasst.  Es gibt aber noch einiges mehr, das eine naehere Betrachtung lohnt. Skalierbarkeit Das TPC raet von einem Vergleich von TPC-H Ergebnissen in unterschiedlichen Groessenklassen ab.  Aber auch innerhalb der 3000GB-Klasse ist es interessant: SPARC T4-4 mit 4 CPUs (32 Cores mit 3.0 GHz) liefert 205,792 QphH. SPARC T5-4 mit 4 CPUs (64 Cores mit 3.6 GHz) liefert 409,721 QphH. Das heisst, es fehlen lediglich 1863 QphH oder 0.45% zu 100% Skalierbarkeit, wenn man davon ausgeht, dass die doppelte Anzahl Kerne das doppelte Ergebnis liefern sollte.  Etwas anspruchsvoller, koennte man natuerlich auch einen Faktor von 2.4 erwarten, wenn man die hoehere Taktrate mit beruecksichtigt.  Das wuerde die Latte auf 493901 QphH legen.  Dann waere die SPARC T5-4 bei 83%.  Damit stellt sich die Frage: Was hat hier nicht skaliert?  Vermutlich der Plattenspeicher!  Auch hier lohnt sich eine naehere Betrachtung: Plattenspeicher Im Bericht auf BestPerf und auch im Full Disclosure Report der TPC stehen einige interessante Details zum Plattenspeicher und der Konfiguration.   In der Konfiguration der SPARC T4-4 wurden 12 2540-M2 Arrays verwendet, die jeweils ca. 1.5 GB/s Durchsatz liefert, insgesamt also eta 18 GB/s.  Dabei waren die Arrays offensichtlich mit jeweils 2 Kabeln pro Array direkt an die 24 8GBit FC-Ports des Servers angeschlossen.  Mit den 2x 8GBit Ports pro Array koennte man so ein theoretisches Maximum von 2GB/s erreichen.  Tatsaechlich wurden 1.5GB/s geliefert, was so ziemlich dem realistischen Maximum entsprechen duerfte. Fuer den Lauf mit der SPARC T5-4 wurden doppelt so viele Platten verwendet.  Dafuer wurden die 2540-M2 Arrays mit je einem zusaetzlichen Plattentray erweitert.  Mit dieser Konfiguration wurde dann (laut BestPerf) ein Maximaldurchsatz von 33 GB/s erreicht - nicht ganz das doppelte des SPARC T4-4 Laufs.  Um tatsaechlich den doppelten Durchsatz (36 GB/s) zu liefern, haette jedes der 12 Arrays 3 GB/s ueber seine 4 8GBit Ports liefern muessen.  Im FDR stehen nur 12 dual-port FC HBAs, was die Verwendung der Brocade FC Switches erklaert: Es wurden alle 4 8GBit ports jedes Arrays an die Switches angeschlossen, die die Datenstroeme dann in die 24 16GBit HBA ports des Servers buendelten.  Das theoretische Maximum jedes Storage-Arrays waere nun 4 GB/s.  Wenn man jedoch den Protokoll- und "Realitaets"-Overhead mit einrechnet, sind die tatsaechlich gelieferten 2.75 GB/s gar nicht schlecht.  Mit diesen Zahlen im Hinterkopf ist die Verdopplung des SPARC T4-4 Ergebnisses eine gute Leistung - und gleichzeitig eine gute Erklaerung, warum nicht bis zum 2.4-fachen skaliert wurde. Nebenbei bemerkt: Weder die SPARC T4-4 noch die SPARC T5-4 hatten in der gemessenen Konfiguration irgendwelche Flash-Devices. Mitbewerb Seit die T4 Systeme auf dem Markt sind, bemuehen sich unsere Mitbewerber redlich darum, ueberall den Eindruck zu hinterlassen, die Leistung des SPARC CPU-Kerns waere weiterhin mangelhaft.  Auch scheinen sie ueberzeugt zu sein, dass (ueber)grosse Caches und hohe Taktraten die einzigen Schluessel zu echter Server Performance seien.  Wenn ich mir nun jedoch die oeffentlichen TPC-H Ergebnisse ansehe, sehe ich dies: TPC-H @3000GB, Non-Clustered Systems System QphH SPARC T5-4 3.6 GHz SPARC T5 4/64 – 2048 GB 409,721.8 SPARC T4-4 3.0 GHz SPARC T4 4/32 – 1024 GB 205,792.0 IBM Power 780 4.1 GHz POWER7 8/32 – 1024 GB 192,001.1 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64 – 512 GB 162,601.7 Kurz zusammengefasst: Mit 32 Kernen (mit 3 GHz und 4MB L3 Cache), liefert die SPARC T4-4 mehr QphH@3000GB ab als IBM mit ihrer 32 Kern Power7 (bei 4.1 GHz und 32MB L3 Cache) und auch mehr als HP mit einem 64 Kern Intel Xeon System (2.27 GHz und 24MB L3 Cache).  Ich frage mich, wo genau SPARC hier mangelhaft ist? Nun koennte man natuerlich argumentieren, dass beide Ergebnisse nicht gerade neu sind.  Nun, in Ermangelung neuerer Ergebnisse kann man ja mal ein wenig spekulieren: IBMs aktueller Performance Report listet die o.g. IBM Power 780 mit einem rPerf Wert von 425.5.  Ein passendes Nachfolgesystem mit Power7+ CPUs waere die Power 780+ mit 64 Kernen, verfuegbar mit 3.72 GHz.  Sie wird mit einem rPerf Wert von  690.1 angegeben, also 1.62x mehr.  Wenn man also annimmt, dass Plattenspeicher nicht der limitierende Faktor ist (IBM hat mit 177 SSDs getestet, sie duerfen das gerne auf 400 erhoehen) und IBMs eigene Leistungsabschaetzung zugrunde legt, darf man ein theoretisches Ergebnis von 311398 QphH@3000GB erwarten.  Das waere dann allerdings immer noch weit von dem Ergebnis der SPARC T5-4 entfernt, und gerade in der von IBM so geschaetzen "per core" Metric noch weniger vorteilhaft. In der x86-Welt sieht es nicht besser aus.  Leider gibt es von Intel keine so praktischen rPerf-Tabellen.  Daher muss ich hier fuer eine Schaetzung auf SPECint_rate2006 zurueckgreifen.  (Ich bin kein grosser Fan von solchen Kreuz- und Querschaetzungen.  Insb. SPECcpu ist nicht besonders geeignet, um Datenbank-Leistung abzuschaetzen, da fast kein IO im Spiel ist.)  Das o.g. HP System wird bei SPEC mit 1580 CINT2006_rate gelistet.  Das bis einschl. 2013-06-14 beste Resultat fuer den neuen Intel Xeon E7-4870 mit 8 CPUs ist 2180 CINT2006_rate.  Das ist immerhin 1.38x besser.  (Wenn man nur die Taktrate beruecksichtigen wuerde, waere man bei 1.32x.)  Hier weiter zu rechnen, ist muessig, aber fuer die ungeduldigen Leser hier eine kleine tabellarische Zusammenfassung: TPC-H @3000GB Performance Spekulationen System QphH* Verbesserung gegenueber der frueheren Generation SPARC T4-4 32 cores SPARC T4 205,792 2x SPARC T5-464 cores SPARC T5 409,721 IBM Power 780 32 cores Power7 192,001 1.62x IBM Power 780+ 64 cores Power7+  311,398* HP ProLiant DL980 G764 cores Intel Xeon X7560 162,601 1.38x HP ProLiant DL980 G780 cores Intel Xeon E7-4870    224,348* * Keine echten Resultate  - spekulative Werte auf der Grundlage von rPerf (Power7+) oder SPECint_rate2006 (HP) Natuerlich sind IBM oder HP herzlich eingeladen, diese Werte zu widerlegen.  Aber stand heute warte ich noch auf aktuelle Benchmark Veroffentlichungen in diesem Datensegment. Was koennen wir also zusammenfassen? Es gibt einige Hinweise, dass der Plattenspeicher der begrenzende Faktor war, der die SPARC T5-4 daran hinderte, auf jenseits von 2x zu skalieren Der Mythos, dass SPARC Kerne keine Leistung bringen, ist genau das - ein Mythos.  Wie sieht es umgekehrt eigentlich mit einem TPC-H Ergebnis fuer die Power7+ aus? Cache ist nicht der magische Performance-Schalter, fuer den ihn manche Leute offenbar halten. Ein System, eine CPU-Architektur und ein Betriebsystem jenseits einer gewissen Grenze zu skalieren ist schwer.  In der x86-Welt scheint es noch ein wenig schwerer zu sein. Was fehlt?  Nun, das Thema Preis/Leistung ueberlasse ich gerne den Verkaeufern ;-) Und zu guter Letzt: Nein, ich habe mich nicht ins Marketing versetzen lassen.  Aber manchmal kann ich mich einfach nicht zurueckhalten... Disclosure Statements The views expressed on this blog are my own and do not necessarily reflect the views of Oracle. TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org, results as of 6/7/13. Prices are in USD. SPARC T5-4 409,721.8 QphH@3000GB, $3.94/QphH@3000GB, available 9/24/13, 4 processors, 64 cores, 512 threads; SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads. SPEC and the benchmark names SPECfp and SPECint are registered trademarks of the Standard Performance Evaluation Corporation. Results as of June 18, 2013 from www.spec.org. HP ProLiant DL980 G7 (2.27 GHz, Intel Xeon X7560): 1580 SPECint_rate2006; HP ProLiant DL980 G7 (2.4 GHz, Intel Xeon E7-4870): 2180 SPECint_rate2006,

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  • T4 Performance Counters explained

    - by user13346607
    Now that T4 is out for a few month some people might have wondered what details of the new pipeline you can monitor. A "cpustat -h" lists a lot of events that can be monitored, and only very few are self-explanatory. I will try to give some insight on all of them, some of these "PIC events" require an in-depth knowledge of T4 pipeline. Over time I will try to explain these, for the time being these events should simply be ignored. (Side note: some counters changed from tape-out 1.1 (*only* used in the T4 beta program) to tape-out 1.2 (used in the systems shipping today) The table only lists the tape-out 1.2 counters) 0 0 1 1058 6033 Oracle Microelectronics 50 14 7077 14.0 Normal 0 false false false EN-US JA X-NONE /* 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-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} pic name (cpustat) Prose Comment Sel-pipe-drain-cycles, Sel-0-[wait|ready], Sel-[1,2] Sel-0-wait counts cycles a strand waits to be selected. Some reasons can be counted in detail; these are: Sel-0-ready: Cycles a strand was ready but not selected, that can signal pipeline oversubscription Sel-1: Cycles only one instruction or µop was selected Sel-2: Cycles two instructions or µops were selected Sel-pipe-drain-cycles: cf. PRM footnote 8 to table 10.2 Pick-any, Pick-[0|1|2|3] Cycles one, two, three, no or at least one instruction or µop is picked Instr_FGU_crypto Number of FGU or crypto instructions executed on that vcpu Instr_ld dto. for load Instr_st dto. for store SPR_ring_ops dto. for SPR ring ops Instr_other dto. for all other instructions not listed above, PRM footnote 7 to table 10.2 lists the instructions Instr_all total number of instructions executed on that vcpu Sw_count_intr Nr of S/W count instructions on that vcpu (sethi %hi(fc000),%g0 (whatever that is))  Atomics nr of atomic ops, which are LDSTUB/a, CASA/XA, and SWAP/A SW_prefetch Nr of PREFETCH or PREFETCHA instructions Block_ld_st Block loads or store on that vcpu IC_miss_nospec, IC_miss_[L2_or_L3|local|remote]\ _hit_nospec Various I$ misses, distinguished by where they hit. All of these count per thread, but only primary events: T4 counts only the first occurence of an I$ miss on a core for a certain instruction. If one strand misses in I$ this miss is counted, but if a second strand on the same core misses while the first miss is being resolved, that second miss is not counted This flavour of I$ misses counts only misses that are caused by instruction that really commit (note the "_nospec") BTC_miss Branch target cache miss ITLB_miss ITLB misses (synchronously counted) ITLB_miss_asynch dto. but asynchronously [I|D]TLB_fill_\ [8KB|64KB|4MB|256MB|2GB|trap] H/W tablewalk events that fill ITLB or DTLB with translation for the corresponding page size. The “_trap” event occurs if the HWTW was not able to fill the corresponding TLB IC_mtag_miss, IC_mtag_miss_\ [ptag_hit|ptag_miss|\ ptag_hit_way_mismatch] I$ micro tag misses, with some options for drill down Fetch-0, Fetch-0-all fetch-0 counts nr of cycles nothing was fetched for this particular strand, fetch-0-all counts cycles nothing was fetched for all strands on a core Instr_buffer_full Cycles the instruction buffer for a strand was full, thereby preventing any fetch BTC_targ_incorrect Counts all occurences of wrongly predicted branch targets from the BTC [PQ|ROB|LB|ROB_LB|SB|\ ROB_SB|LB_SB|RB_LB_SB|\ DTLB_miss]\ _tag_wait ST_q_tag_wait is listed under sl=20. These counters monitor pipeline behaviour therefore they are not strand specific: PQ_...: cycles Rename stage waits for a Pick Queue tag (might signal memory bound workload for single thread mode, cf. Mail from Richard Smith) ROB_...: cycles Select stage waits for a ROB (ReOrderBuffer) tag LB_...: cycles Select stage waits for a Load Buffer tag SB_...: cycles Select stage waits for Store Buffer tag combinations of the above are allowed, although some of these events can overlap, the counter will only be incremented once per cycle if any of these occur DTLB_...: cycles load or store instructions wait at Pick stage for a DTLB miss tag [ID]TLB_HWTW_\ [L2_hit|L3_hit|L3_miss|all] Counters for HWTW accesses caused by either DTLB or ITLB misses. Canbe further detailed by where they hit IC_miss_L2_L3_hit, IC_miss_local_remote_remL3_hit, IC_miss I$ prefetches that were dropped because they either miss in L2$ or L3$ This variant counts misses regardless if the causing instruction commits or not DC_miss_nospec, DC_miss_[L2_L3|local|remote_L3]\ _hit_nospec D$ misses either in general or detailed by where they hit cf. the explanation for the IC_miss in two flavours for an explanation of _nospec and the reasoning for two DC_miss counters DTLB_miss_asynch counts all DTLB misses asynchronously, there is no way to count them synchronously DC_pref_drop_DC_hit, SW_pref_drop_[DC_hit|buffer_full] L1-D$ h/w prefetches that were dropped because of a D$ hit, counted per core. The others count software prefetches per strand [Full|Partial]_RAW_hit_st_[buf|q] Count events where a load wants to get data that has not yet been stored, i. e. it is still inside the pipeline. The data might be either still in the store buffer or in the store queue. If the load's data matches in the SB and in the store queue the data in buffer takes precedence of course since it is younger [IC|DC]_evict_invalid, [IC|DC|L1]_snoop_invalid, [IC|DC|L1]_invalid_all Counter for invalidated cache evictions per core St_q_tag_wait Number of cycles pipeline waits for a store queue tag, of course counted per core Data_pref_[drop_L2|drop_L3|\ hit_L2|hit_L3|\ hit_local|hit_remote] Data prefetches that can be further detailed by either why they were dropped or where they did hit St_hit_[L2|L3], St_L2_[local|remote]_C2C, St_local, St_remote Store events distinguished by where they hit or where they cause a L2 cache-to-cache transfer, i.e. either a transfer from another L2$ on the same die or from a different die DC_miss, DC_miss_\ [L2_L3|local|remote]_hit D$ misses either in general or detailed by where they hit cf. the explanation for the IC_miss in two flavours for an explanation of _nospec and the reasoning for two DC_miss counters L2_[clean|dirty]_evict Per core clean or dirty L2$ evictions L2_fill_buf_full, L2_wb_buf_full, L2_miss_buf_full Per core L2$ buffer events, all count number of cycles that this state was present L2_pipe_stall Per core cycles pipeline stalled because of L2$ Branches Count branches (Tcc, DONE, RETRY, and SIT are not counted as branches) Br_taken Counts taken branches (Tcc, DONE, RETRY, and SIT are not counted as branches) Br_mispred, Br_dir_mispred, Br_trg_mispred, Br_trg_mispred_\ [far_tbl|indir_tbl|ret_stk] Counter for various branch misprediction events.  Cycles_user counts cycles, attribute setting hpriv, nouser, sys controls addess space to count in Commit-[0|1|2], Commit-0-all, Commit-1-or-2 Number of times either no, one, or two µops commit for a strand. Commit-0-all counts number of times no µop commits for the whole core, cf. footnote 11 to table 10.2 in PRM for a more detailed explanation on how this counters interacts with the privilege levels

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  • Not attending the LUGM mini-meetup - 05. Oct 2013

    Not attending a meeting of the LUGM can be fun, too. It's getting a bit of a habit that Ish is organising small gatherings, aka mini-meetups, of the Linux User Group Mauritius/Meta (LUGM) almost every Saturday. There they mainly discuss and talk about various elements of using Linux as ones main operating systems and the possibilities you are going to have. On top of course, some tips & tricks about mastering the command line and initial steps in scripting or even writing HTML. In general, sounds like a good portion of fun and great spirit of community. Unfortunately, I'm usually quite busy with private and family matters during the weekend and so I already signalised that I wouldn't be around. Well, at least not physically... But this Saturday a couple of things worked out faster than expected and so I was hanging out on my machine. I made virtual contact with one of Pawan's messages over on Facebook... And somehow that kicked off some kind of an online game fun on basic configuration of Apache HTTPd 2.2.x, PHP 5.x and how to improve the overall performance of a newly installed blog based on WordPress. Default configuration files Nitin's website finally came alive and despite the dark theme and the hidden Apple 'fanboy' advertisement I was more interested in the technical situation. As with any new installation there is usually quite some adjustment to be done. And Nitin's page was no exception. Unfortunately, out of the box installations of Apache httpd and PHP are too verbose and expose too much information under the hood. You might think that this isn't really a problem at all, well, think about it again after completely reading this article. First, I checked the HTTP response headers - using either Chrome Developer Tools or Firefox Web Developer extension - of Nitin's page and based on that I advised him to lower the noise levels a little bit. It's not really necessary that detailed information about web server software and scripting language has to be published in every response made. Quite a number of script kiddies and exploits actually check for version specifics prior to an attack. So, removing at least version details hardens the system a little bit. In particular, I'm talking about these response values: Server X-Powered-By How to achieve that? By tweaking the configuration files... Namely, we are going to look into the following ones: apache2.conf httpd.conf .htaccess php.ini The above list contains some additional files, I'm talking about in the next paragraphs. Anyway, those are the ones involved. Tweaking Apache Open your favourite text editor and start to modify the apache2.conf. Eventually, you might like to have a quick peak at the file to see whether it is necessary to adjust it or not. Following is a handy combination of commands to get an overview of your active directives: # sudo grep -v '#' /etc/apache2/apache2.conf | grep -v '^$' | less There you keep an eye on those two Apache directives: ServerSignature Off ServerTokens Prod If that's not the case, change them as highlighted above. In order to activate your modifications you have to restart Apache httpd server. On Debian and Ubuntu you might use apache2ctl for that, on other distributions you might have to use service or run the init-scripts again: # sudo apache2ctl configtestSyntax OK# sudo apache2ctl restart Refresh your website and check the HTTP response header. Tweaking PHP5 (a little bit) Next, check your php.ini file with the following statement: # sudo grep -v ';' /etc/php5/apache2/php.ini | grep -v '^$' | less And check the value of expose_php = Off Again, if it's not as highlighted, change it... Some more Apache love Okay, back to Apache it might also be interesting to improve the situation about browser caching and removing more obsolete information. When you run your website against the usual performance checks like Google Page Speed and Yahoo YSlow you might see those check points with bad grades on a standard, default configuration. Well, this can be done easily. Configure entity tags (ETags) ETags are only interesting when you run your websites on a farm of multiple web servers. Removing this data for your static resources is very simple in Apache. As we are going to deal with the HTTP response header information you have to ensure that Apache is capable to manipulate them. First, check your enabled modules: # sudo ls -al /etc/apache2/mods-enabled/ | grep headers And in case that the 'headers' module is not listed, you have to enable it from the available ones: # sudo a2enmod headers Second, check your httpd.conf file (in case it exists): # sudo grep -v '#' /etc/apache2/httpd.conf | grep -v '^$' | less In newer (better said fresh) installations you might have to create a new configuration file below your conf.d folder with your favourite text editor like so: # sudo nano /etc/apache2/conf.d/headers.conf Then, in order to tweak your HTTP responses either check for those lines or add them: Header unset ETagFileETag None In case that your file doesn't exist or those lines are missing, feel free to create/add them. Afterwards, check your Apache configuration syntax and restart your running instances as already shown above: # sudo apache2ctl configtestSyntax OK# sudo apache2ctl restart Add Expires headers To improve the loading performance of your website, you should take some care into the proper configuration of how to leverage the browser's ability to cache certain resources and files. This is done by adding an Expires: value to the HTTP response header. Generally speaking it is advised that you specify a near-future, read: 1 week or a little bit more, for your static content like JavaScript files or Cascading Style Sheets. One solution to adjust this is to put some instructions into the .htaccess file in the root folder of your web site. Of course, this could also be placed into a more generic location of your Apache installation but honestly, I'd like to keep this at the web site level. Following some adjustments I'm currently using on this blog site: # Turn on Expires and set default to 0ExpiresActive OnExpiresDefault A0 # Set up caching on media files for 1 year (forever?)<FilesMatch "\.(flv|ico|pdf|avi|mov|ppt|doc|mp3|wmv|wav)$">ExpiresDefault A29030400Header append Cache-Control "public"</FilesMatch> # Set up caching on media files for 1 week<FilesMatch "\.(js|css)$">ExpiresDefault A604800Header append Cache-Control "public"</FilesMatch> # Set up caching on media files for 31 days<FilesMatch "\.(gif|jpg|jpeg|png|swf)$">ExpiresDefault A2678400Header append Cache-Control "public"</FilesMatch> As we are editing the .htaccess files, it is not necessary to restart Apache. In case that your web site doesn't load anymore or you're experiencing an error while trying to restart your httpd, check that the 'expires' module is actually an enabled module: # ls -al /etc/apache2/mods-enabled/ | grep expires# sudo a2enmod expires Of course, the instructions above a re not feature complete but I hope that they might provide a better default configuration for your LAMP stack. Resume of the day Within a couple of hours, and while being occupied with an eLearning course on SQL Server 2012, I had some good fun in helping and assisting other LUGM members while they were some kilometers away at Bagatelle. According to other blog articles it seems that Nitin had quite some moments of desperation. Just for the records: At no time it was my intention to either kick his butt or pull a leg on him. Simply, providing some input based on the lessons I've learned over the last couple of years configuring Apache HTTPd and PHP. Check out the other blogs, too: LUGM mini-meetup... Epic! Superb Saturday Linux Meetup And last but not least, the man himself: The end of a new beginning Cheers, and happy community'ing! Updates Due to our weekly Code & Coffee sessions in the MSCC community, I had a chance to talk to Nitin directly and he showed me the problems directly on his machine. This led to update this article hence the paragraphs on enabling the modules 'headers' and 'expires'.

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  • When is a Seek not a Seek?

    - by Paul White
    The following script creates a single-column clustered table containing the integers from 1 to 1,000 inclusive. IF OBJECT_ID(N'tempdb..#Test', N'U') IS NOT NULL DROP TABLE #Test ; GO CREATE TABLE #Test ( id INTEGER PRIMARY KEY CLUSTERED ); ; INSERT #Test (id) SELECT V.number FROM master.dbo.spt_values AS V WHERE V.[type] = N'P' AND V.number BETWEEN 1 AND 1000 ; Let’s say we need to find the rows with values from 100 to 170, excluding any values that divide exactly by 10.  One way to write that query would be: SELECT T.id FROM #Test AS T WHERE T.id IN ( 101,102,103,104,105,106,107,108,109, 111,112,113,114,115,116,117,118,119, 121,122,123,124,125,126,127,128,129, 131,132,133,134,135,136,137,138,139, 141,142,143,144,145,146,147,148,149, 151,152,153,154,155,156,157,158,159, 161,162,163,164,165,166,167,168,169 ) ; That query produces a pretty efficient-looking query plan: Knowing that the source column is defined as an INTEGER, we could also express the query this way: SELECT T.id FROM #Test AS T WHERE T.id >= 101 AND T.id <= 169 AND T.id % 10 > 0 ; We get a similar-looking plan: If you look closely, you might notice that the line connecting the two icons is a little thinner than before.  The first query is estimated to produce 61.9167 rows – very close to the 63 rows we know the query will return.  The second query presents a tougher challenge for SQL Server because it doesn’t know how to predict the selectivity of the modulo expression (T.id % 10 > 0).  Without that last line, the second query is estimated to produce 68.1667 rows – a slight overestimate.  Adding the opaque modulo expression results in SQL Server guessing at the selectivity.  As you may know, the selectivity guess for a greater-than operation is 30%, so the final estimate is 30% of 68.1667, which comes to 20.45 rows. The second difference is that the Clustered Index Seek is costed at 99% of the estimated total for the statement.  For some reason, the final SELECT operator is assigned a small cost of 0.0000484 units; I have absolutely no idea why this is so, or what it models.  Nevertheless, we can compare the total cost for both queries: the first one comes in at 0.0033501 units, and the second at 0.0034054.  The important point is that the second query is costed very slightly higher than the first, even though it is expected to produce many fewer rows (20.45 versus 61.9167). If you run the two queries, they produce exactly the same results, and both complete so quickly that it is impossible to measure CPU usage for a single execution.  We can, however, compare the I/O statistics for a single run by running the queries with STATISTICS IO ON: Table '#Test'. Scan count 63, logical reads 126, physical reads 0. Table '#Test'. Scan count 01, logical reads 002, physical reads 0. The query with the IN list uses 126 logical reads (and has a ‘scan count’ of 63), while the second query form completes with just 2 logical reads (and a ‘scan count’ of 1).  It is no coincidence that 126 = 63 * 2, by the way.  It is almost as if the first query is doing 63 seeks, compared to one for the second query. In fact, that is exactly what it is doing.  There is no indication of this in the graphical plan, or the tool-tip that appears when you hover your mouse over the Clustered Index Seek icon.  To see the 63 seek operations, you have click on the Seek icon and look in the Properties window (press F4, or right-click and choose from the menu): The Seek Predicates list shows a total of 63 seek operations – one for each of the values from the IN list contained in the first query.  I have expanded the first seek node to show the details; it is seeking down the clustered index to find the entry with the value 101.  Each of the other 62 nodes expands similarly, and the same information is contained (even more verbosely) in the XML form of the plan. Each of the 63 seek operations starts at the root of the clustered index B-tree and navigates down to the leaf page that contains the sought key value.  Our table is just large enough to need a separate root page, so each seek incurs 2 logical reads (one for the root, and one for the leaf).  We can see the index depth using the INDEXPROPERTY function, or by using the a DMV: SELECT S.index_type_desc, S.index_depth FROM sys.dm_db_index_physical_stats ( DB_ID(N'tempdb'), OBJECT_ID(N'tempdb..#Test', N'U'), 1, 1, DEFAULT ) AS S ; Let’s look now at the Properties window when the Clustered Index Seek from the second query is selected: There is just one seek operation, which starts at the root of the index and navigates the B-tree looking for the first key that matches the Start range condition (id >= 101).  It then continues to read records at the leaf level of the index (following links between leaf-level pages if necessary) until it finds a row that does not meet the End range condition (id <= 169).  Every row that meets the seek range condition is also tested against the Residual Predicate highlighted above (id % 10 > 0), and is only returned if it matches that as well. You will not be surprised that the single seek (with a range scan and residual predicate) is much more efficient than 63 singleton seeks.  It is not 63 times more efficient (as the logical reads comparison would suggest), but it is around three times faster.  Let’s run both query forms 10,000 times and measure the elapsed time: DECLARE @i INTEGER, @n INTEGER = 10000, @s DATETIME = GETDATE() ; SET NOCOUNT ON; SET STATISTICS XML OFF; ; WHILE @n > 0 BEGIN SELECT @i = T.id FROM #Test AS T WHERE T.id IN ( 101,102,103,104,105,106,107,108,109, 111,112,113,114,115,116,117,118,119, 121,122,123,124,125,126,127,128,129, 131,132,133,134,135,136,137,138,139, 141,142,143,144,145,146,147,148,149, 151,152,153,154,155,156,157,158,159, 161,162,163,164,165,166,167,168,169 ) ; SET @n -= 1; END ; PRINT DATEDIFF(MILLISECOND, @s, GETDATE()) ; GO DECLARE @i INTEGER, @n INTEGER = 10000, @s DATETIME = GETDATE() ; SET NOCOUNT ON ; WHILE @n > 0 BEGIN SELECT @i = T.id FROM #Test AS T WHERE T.id >= 101 AND T.id <= 169 AND T.id % 10 > 0 ; SET @n -= 1; END ; PRINT DATEDIFF(MILLISECOND, @s, GETDATE()) ; On my laptop, running SQL Server 2008 build 4272 (SP2 CU2), the IN form of the query takes around 830ms and the range query about 300ms.  The main point of this post is not performance, however – it is meant as an introduction to the next few parts in this mini-series that will continue to explore scans and seeks in detail. When is a seek not a seek?  When it is 63 seeks © Paul White 2011 email: [email protected] twitter: @SQL_kiwi

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  • The Presentation Isn't Over Until It's Over

    - by Phil Factor
    The senior corporate dignitaries settled into their seats looking important in a blue-suited sort of way. The lights dimmed as I strode out in front to give my presentation.  I had ten vital minutes to make my pitch.  I was about to dazzle the top management of a large software company who were considering the purchase of my software product. I would present them with a dazzling synthesis of diagrams, graphs, followed by  a live demonstration of my software projected from my laptop.  My preparation had been meticulous: It had to be: A year’s hard work was at stake, so I’d prepared it to perfection.  I stood up and took them all in, with a gaze of sublime confidence. Then the laptop expired. There are several possible alternative plans of action when this happens     A. Stare at the smoking laptop vacuously, flapping ones mouth slowly up and down     B. Stand frozen like a statue, locked in indecision between fright and flight.     C. Run out of the room, weeping     D. Pretend that this was all planned     E. Abandon the presentation in favour of a stilted and tedious dissertation about the software     F. Shake your fist at the sky, and curse the sense of humour of your preferred deity I started for a few seconds on plan B, normally referred to as the ‘Rabbit in the headlamps of the car’ technique. Suddenly, a little voice inside my head spoke. It spoke the famous inane words of Yogi Berra; ‘The game isn't over until it's over.’ ‘Too right’, I thought. What to do? I ran through the alternatives A-F inclusive in my mind but none appealed to me. I was completely unprepared for this. Nowadays, longevity has since taught me more than I wanted to know about the wacky sense of humour of fate, and I would have taken two laptops. I hadn’t, but decided to do the presentation anyway as planned. I started out ignoring the dead laptop, but pretending, instead that it was still working. The audience looked startled. They were expecting plan B to be succeeded by plan C, I suspect. They weren’t used to denial on this scale. After my introductory talk, which didn’t require any visuals, I came to the diagram that described the application I’d written.  I’d taken ages over it and it was hot stuff. Well, it would have been had it been projected onto the screen. It wasn’t. Before I describe what happened then, I must explain that I have thespian tendencies.  My  triumph as Professor Higgins in My Fair Lady at the local operatic society is now long forgotten, but I remember at the time of my finest performance, the moment that, glancing up over the vast audience of  moist-eyed faces at the during the poignant  scene between Eliza and Higgins at the end, I  realised that I had a talent that one day could possibly  be harnessed for commercial use I just talked about the diagram as if it was there, but throwing in some extra description. The audience nodded helpfully when I’d done enough. Emboldened, I began a sort of mime, well, more of a ballet, to represent each slide as I came to it. Heaven knows I’d done my preparation and, in my mind’s eye, I could see every detail, but I had to somehow project the reality of that vision to the audience, much the same way any actor playing Macbeth should do the ghost of Banquo.  My desperation gave me a manic energy. If you’ve ever demonstrated a windows application entirely by mime, gesture and florid description, you’ll understand the scale of the challenge, but then I had nothing to lose. With a brief sentence of description here and there, and arms flailing whilst outlining the size and shape of  graphs and diagrams, I used the many tricks of mime, gesture and body-language  learned from playing Captain Hook, or the Sheriff of Nottingham in pantomime. I set out determinedly on my desperate venture. There wasn’t time to do anything but focus on the challenge of the task: the world around me narrowed down to ten faces and my presentation: ten souls who had to be hypnotized into seeing a Windows application:  one that was slick, well organized and functional I don’t remember the details. Eight minutes of my life are gone completely. I was a thespian berserker.  I know however that I followed the basic plan of building the presentation in a carefully controlled crescendo until the dazzling finale where the results were displayed on-screen.  ‘And here you see the results, neatly formatted and grouped carefully to enhance the significance of the figures, together with running trend-graphs!’ I waved a mime to signify an animated  window-opening, and looked up, in my first pause, to gaze defiantly  at the audience.  It was a sight I’ll never forget. Ten pairs of eyes were gazing in rapt attention at the imaginary window, and several pairs of eyes were glancing at the imaginary graphs and figures.  I hadn’t had an audience like that since my starring role in  Beauty and the Beast.  At that moment, I realized that my desperate ploy might work. I sat down, slightly winded, when my ten minutes were up.  For the first and last time in my life, the audience of a  ‘PowerPoint’ presentation burst into spontaneous applause. ‘Any questions?’ ‘Yes,  Have you got an agent?’ Yes, in case you’re wondering, I got the deal. They bought the software product from me there and then. However, it was a life-changing experience for me and I have never ever again trusted technology as part of a presentation.  Even if things can’t go wrong, they’ll go wrong and they’ll kill the flow of what you’re presenting.  if you can’t do something without the techno-props, then you shouldn’t do it.  The greatest lesson of all is that great presentations require preparation and  ‘stage-presence’ rather than fancy graphics. They’re a great supporting aid, but they should never dominate to the point that you’re lost without them.

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  • DBA Best Practices - A Blog Series: Episode 1 - Backups

    - by Argenis
      This blog post is part of the DBA Best Practices series, on which various topics of concern for daily database operations are discussed. Your feedback and comments are very much welcome, so please drop by the comments section and be sure to leave your thoughts on the subject. Morning Coffee When I was a DBA, the first thing I did when I sat down at my desk at work was checking that all backups had completed successfully. It really was more of a ritual, since I had a dual system in place to check for backup completion: 1) the scheduled agent jobs to back up the databases were set to alert the NOC in failure, and 2) I had a script run from a central server every so often to check for any backup failures. Why the redundancy, you might ask. Well, for one I was once bitten by the fact that database mail doesn't work 100% of the time. Potential causes for failure include issues on the SMTP box that relays your server email, firewall problems, DNS issues, etc. And so to be sure that my backups completed fine, I needed to rely on a mechanism other than having the servers do the taking - I needed to interrogate the servers and ask each one if an issue had occurred. This is why I had a script run every so often. Some of you might have monitoring tools in place like Microsoft System Center Operations Manager (SCOM) or similar 3rd party products that would track all these things for you. But at that moment, we had no resort but to write our own Powershell scripts to do it. Now it goes without saying that if you don't have backups in place, you might as well find another career. Your most sacred job as a DBA is to protect the data from a disaster, and only properly safeguarded backups can offer you peace of mind here. "But, we have a cluster...we don't need backups" Sadly I've heard this line more than I would have liked to. You need to understand that a cluster is comprised of shared storage, and that is precisely your single point of failure. A cluster will protect you from an issue at the Operating System level, and also under an outage of any SQL-related service or dependent devices. But it will most definitely NOT protect you against corruption, nor will it protect you against somebody deleting data from a table - accidentally or otherwise. Backup, fine. How often do I take a backup? The answer to this is something you will hear frequently when working with databases: it depends. What does it depend on? For one, you need to understand how much data your business is willing to lose. This is what's called Recovery Point Objective, or RPO. If you don't know how much data your business is willing to lose, you need to have an honest and realistic conversation about data loss expectations with your customers, internal or external. From my experience, their first answer to the question "how much data loss can you withstand?" will be "zero". In that case, you will need to explain how zero data loss is very difficult and very costly to achieve, even in today's computing environments. Do you want to go ahead and take full backups of all your databases every hour, or even every day? Probably not, because of the impact that taking a full backup can have on a system. That's what differential and transaction log backups are for. Have I answered the question of how often to take a backup? No, and I did that on purpose. You need to think about how much time you have to recover from any event that requires you to restore your databases. This is what's called Recovery Time Objective. Again, if you go ask your customer how long of an outage they can withstand, at first you will get a completely unrealistic number - and that will be your starting point for discussing a solution that is cost effective. The point that I'm trying to get across is that you need to have a plan. This plan needs to be practiced, and tested. Like a football playbook, you need to rehearse the moves you'll perform when the time comes. How often is up to you, and the objective is that you feel better about yourself and the steps you need to follow when emergency strikes. A backup is nothing more than an untested restore Backups are files. Files are prone to corruption. Put those two together and realize how you feel about those backups sitting on that network drive. When was the last time you restored any of those? Restoring your backups on another box - that, by the way, doesn't have to match the specs of your production server - will give you two things: 1) peace of mind, because now you know that your backups are good and 2) a place to offload your consistency checks with DBCC CHECKDB or any of the other DBCC commands like CHECKTABLE or CHECKCATALOG. This is a great strategy for VLDBs that cannot withstand the additional load created by the consistency checks. If you choose to offload your consistency checks to another server though, be sure to run DBCC CHECKDB WITH PHYSICALONLY on the production server, and if you're using SQL Server 2008 R2 SP1 CU4 and above, be sure to enable traceflags 2562 and/or 2549, which will speed up the PHYSICALONLY checks further - you can read more about this enhancement here. Back to the "How Often" question for a second. If you have the disk, and the network latency, and the system resources to do so, why not backup the transaction log often? As in, every 5 minutes, or even less than that? There's not much downside to doing it, as you will have to clear the log with a backup sooner than later, lest you risk running out space on your tlog, or even your drive. The one drawback to this approach is that you will have more files to deal with at restore time, and processing each file will add a bit of extra time to the entire process. But it might be worth that time knowing that you minimized the amount of data lost. Again, test your plan to make sure that it matches your particular needs. Where to back up to? Network share? Locally? SAN volume? This is another topic where everybody has a favorite choice. So, I'll stick to mentioning what I like to do and what I consider to be the best practice in this regard. I like to backup to a SAN volume, i.e., a drive that actually lives in the SAN, and can be easily attached to another server in a pinch, saving you valuable time - you wouldn't need to restore files on the network (slow) or pull out drives out a dead server (been there, done that, it’s also slow!). The key is to have a copy of those backup files made quickly, and, if at all possible, to a remote target on a different datacenter - or even the cloud. There are plenty of solutions out there that can help you put such a solution together. That right there is the first step towards a practical Disaster Recovery plan. But there's much more to DR, and that's material for a different blog post in this series.

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  • plupload variable upload path?

    - by SoulieBaby
    Hi all, I'm using plupload to upload files to my server (http://www.plupload.com/index.php), however I wanted to know if there was any way of making the upload path variable. Basically I need to select the upload path folder first, then choose the files using plupload and then upload to the initially selected folder. I've tried a few different ways but I can't seem to pass along the variable folder path to the upload.php file. I'm using the flash version of plupload. If someone could help me out, that would be fantastic!! :) Here's my plupload jquery: jQuery.noConflict(); jQuery(document).ready(function() { jQuery("#flash_uploader").pluploadQueue({ // General settings runtimes: 'flash', url: '/assets/upload/upload.php', max_file_size: '10mb', chunk_size: '1mb', unique_names: false, // Resize images on clientside if we can resize: {width: 500, height: 350, quality: 100}, // Flash settings flash_swf_url: '/assets/upload/flash/plupload.flash.swf' }); }); And here's the upload.php file: <?php /** * upload.php * * Copyright 2009, Moxiecode Systems AB * Released under GPL License. * * License: http://www.plupload.com/license * Contributing: http://www.plupload.com/contributing */ // HTTP headers for no cache etc header('Content-type: text/plain; charset=UTF-8'); header("Expires: Mon, 26 Jul 1997 05:00:00 GMT"); header("Last-Modified: ".gmdate("D, d M Y H:i:s")." GMT"); header("Cache-Control: no-store, no-cache, must-revalidate"); header("Cache-Control: post-check=0, pre-check=0", false); header("Pragma: no-cache"); // Settings $targetDir = $_SERVER['DOCUMENT_ROOT']."/tmp/uploads"; //temp directory <- need these to be variable $finalDir = $_SERVER['DOCUMENT_ROOT']."/tmp/uploads2"; //final directory <- need these to be variable $cleanupTargetDir = true; // Remove old files $maxFileAge = 60 * 60; // Temp file age in seconds // 5 minutes execution time @set_time_limit(5 * 60); // usleep(5000); // Get parameters $chunk = isset($_REQUEST["chunk"]) ? $_REQUEST["chunk"] : 0; $chunks = isset($_REQUEST["chunks"]) ? $_REQUEST["chunks"] : 0; $fileName = isset($_REQUEST["name"]) ? $_REQUEST["name"] : ''; // Clean the fileName for security reasons $fileName = preg_replace('/[^\w\._]+/', '', $fileName); // Create target dir if (!file_exists($targetDir)) @mkdir($targetDir); // Remove old temp files if (is_dir($targetDir) && ($dir = opendir($targetDir))) { while (($file = readdir($dir)) !== false) { $filePath = $targetDir . DIRECTORY_SEPARATOR . $file; // Remove temp files if they are older than the max age if (preg_match('/\\.tmp$/', $file) && (filemtime($filePath) < time() - $maxFileAge)) @unlink($filePath); } closedir($dir); } else die('{"jsonrpc" : "2.0", "error" : {"code": 100, "message": "Failed to open temp directory."}, "id" : "id"}'); // Look for the content type header if (isset($_SERVER["HTTP_CONTENT_TYPE"])) $contentType = $_SERVER["HTTP_CONTENT_TYPE"]; if (isset($_SERVER["CONTENT_TYPE"])) $contentType = $_SERVER["CONTENT_TYPE"]; if (strpos($contentType, "multipart") !== false) { if (isset($_FILES['file']['tmp_name']) && is_uploaded_file($_FILES['file']['tmp_name'])) { // Open temp file $out = fopen($targetDir . DIRECTORY_SEPARATOR . $fileName, $chunk == 0 ? "wb" : "ab"); if ($out) { // Read binary input stream and append it to temp file $in = fopen($_FILES['file']['tmp_name'], "rb"); if ($in) { while ($buff = fread($in, 4096)) fwrite($out, $buff); } else die('{"jsonrpc" : "2.0", "error" : {"code": 101, "message": "Failed to open input stream."}, "id" : "id"}'); fclose($out); unlink($_FILES['file']['tmp_name']); } else die('{"jsonrpc" : "2.0", "error" : {"code": 102, "message": "Failed to open output stream."}, "id" : "id"}'); } else die('{"jsonrpc" : "2.0", "error" : {"code": 103, "message": "Failed to move uploaded file."}, "id" : "id"}'); } else { // Open temp file $out = fopen($targetDir . DIRECTORY_SEPARATOR . $fileName, $chunk == 0 ? "wb" : "ab"); if ($out) { // Read binary input stream and append it to temp file $in = fopen("php://input", "rb"); if ($in) { while ($buff = fread($in, 4096)){ fwrite($out, $buff); } } else die('{"jsonrpc" : "2.0", "error" : {"code": 101, "message": "Failed to open input stream."}, "id" : "id"}'); fclose($out); } else die('{"jsonrpc" : "2.0", "error" : {"code": 102, "message": "Failed to open output stream."}, "id" : "id"}'); } //Moves the file from $targetDir to $finalDir after receiving the final chunk if($chunk == ($chunks-1)){ rename($targetDir . DIRECTORY_SEPARATOR . $fileName, $finalDir . DIRECTORY_SEPARATOR . $fileName); } // Return JSON-RPC response die('{"jsonrpc" : "2.0", "result" : null, "id" : "id"}'); ?>

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  • DBA Best Practices - A Blog Series: Episode 1 - Backups

    - by Argenis
      This blog post is part of the DBA Best Practices series, on which various topics of concern for daily database operations are discussed. Your feedback and comments are very much welcome, so please drop by the comments section and be sure to leave your thoughts on the subject. Morning Coffee When I was a DBA, the first thing I did when I sat down at my desk at work was checking that all backups have completed successfully. It really was more of a ritual, since I had a dual system in place to check for backup completion: 1) the scheduled agent jobs to back up the databases were set to alert the NOC in failure, and 2) I had a script run from a central server every so often to check for any backup failures. Why the redundancy, you might ask. Well, for one I was once bitten by the fact that database mail doesn't work 100% of the time. Potential causes for failure include issues on the SMTP box that relays your server email, firewall problems, DNS issues, etc. And so to be sure that my backups completed fine, I needed to rely on a mechanism other than having the servers do the taking - I needed to interrogate the servers and ask each one if an issue had occurred. This is why I had a script run every so often. Some of you might have monitoring tools in place like Microsoft System Center Operations Manager (SCOM) or similar 3rd party products that would track all these things for you. But at that moment, we had no resort but to write our own Powershell scripts to do it. Now it goes without saying that if you don't have backups in place, you might as well find another career. Your most sacred job as a DBA is to protect the data from a disaster, and only properly safeguarded backups can offer you peace of mind here. "But, we have a cluster...we don't need backups" Sadly I've heard this line more than I would have liked to. You need to understand that a cluster is comprised of shared storage, and that is precisely your single point of failure. A cluster will protect you from an issue at the Operating System level, and also under an outage of any SQL-related service or dependent devices. But it will most definitely NOT protect you against corruption, nor will it protect you against somebody deleting data from a table - accidentally or otherwise. Backup, fine. How often do I take a backup? The answer to this is something you will hear frequently when working with databases: it depends. What does it depend on? For one, you need to understand how much data your business is willing to lose. This is what's called Recovery Point Objective, or RPO. If you don't know how much data your business is willing to lose, you need to have an honest and realistic conversation about data loss expectations with your customers, internal or external. From my experience, their first answer to the question "how much data loss can you withstand?" will be "zero". In that case, you will need to explain how zero data loss is very difficult and very costly to achieve, even in today's computing environments. Do you want to go ahead and take full backups of all your databases every hour, or even every day? Probably not, because of the impact that taking a full backup can have on a system. That's what differential and transaction log backups are for. Have I answered the question of how often to take a backup? No, and I did that on purpose. You need to think about how much time you have to recover from any event that requires you to restore your databases. This is what's called Recovery Time Objective. Again, if you go ask your customer how long of an outage they can withstand, at first you will get a completely unrealistic number - and that will be your starting point for discussing a solution that is cost effective. The point that I'm trying to get across is that you need to have a plan. This plan needs to be practiced, and tested. Like a football playbook, you need to rehearse the moves you'll perform when the time comes. How often is up to you, and the objective is that you feel better about yourself and the steps you need to follow when emergency strikes. A backup is nothing more than an untested restore Backups are files. Files are prone to corruption. Put those two together and realize how you feel about those backups sitting on that network drive. When was the last time you restored any of those? Restoring your backups on another box - that, by the way, doesn't have to match the specs of your production server - will give you two things: 1) peace of mind, because now you know that your backups are good and 2) a place to offload your consistency checks with DBCC CHECKDB or any of the other DBCC commands like CHECKTABLE or CHECKCATALOG. This is a great strategy for VLDBs that cannot withstand the additional load created by the consistency checks. If you choose to offload your consistency checks to another server though, be sure to run DBCC CHECKDB WITH PHYSICALONLY on the production server, and if you're using SQL Server 2008 R2 SP1 CU4 and above, be sure to enable traceflags 2562 and/or 2549, which will speed up the PHYSICALONLY checks further - you can read more about this enhancement here. Back to the "How Often" question for a second. If you have the disk, and the network latency, and the system resources to do so, why not backup the transaction log often? As in, every 5 minutes, or even less than that? There's not much downside to doing it, as you will have to clear the log with a backup sooner than later, lest you risk running out space on your tlog, or even your drive. The one drawback to this approach is that you will have more files to deal with at restore time, and processing each file will add a bit of extra time to the entire process. But it might be worth that time knowing that you minimized the amount of data lost. Again, test your plan to make sure that it matches your particular needs. Where to back up to? Network share? Locally? SAN volume? This is another topic where everybody has a favorite choice. So, I'll stick to mentioning what I like to do and what I consider to be the best practice in this regard. I like to backup to a SAN volume, i.e., a drive that actually lives in the SAN, and can be easily attached to another server in a pinch, saving you valuable time - you wouldn't need to restore files on the network (slow) or pull out drives out a dead server (been there, done that, it’s also slow!). The key is to have a copy of those backup files made quickly, and, if at all possible, to a remote target on a different datacenter - or even the cloud. There are plenty of solutions out there that can help you put such a solution together. That right there is the first step towards a practical Disaster Recovery plan. But there's much more to DR, and that's material for a different blog post in this series.

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  • Problem With View Helpers

    - by Richard Knop
    I wrote few custom view helpers but I have a little trouble using them. If I add the helper path in controller action like this: public function fooAction() { $this->view->addHelperPath('My/View/Helper', 'My_View_Helper'); } Then I can use the views from that path without a problem. But when I add the path in the bootstrap file like this: protected function _initView() { $this->view = new Zend_View(); $this->view->doctype('XHTML1_STRICT'); $this->view->headScript()->appendFile($this->view->baseUrl() . '/js/jquery-ui/jquery.js'); $this->view->headMeta()->appendHttpEquiv('Content-Type', 'text/html; charset=UTF-8'); $this->view->headMeta()->appendHttpEquiv('Content-Style-Type', 'text/css'); $this->view->headMeta()->appendHttpEquiv('Content-Language', 'sk'); $this->view->headLink()->appendStylesheet($this->view->baseUrl() . '/css/reset.css'); $this->view->addHelperPath('My/View/Helper', 'My_View_Helper'); } Then the view helpers don't work. Why is that? It's too troublesome to add the path in every controller action. Here is an example of how my custom view helpers look: class My_View_Helper_FooBar { public function fooBar() { return 'hello world'; } } I use them like this in views: <?php echo $this->fooBar(); ?> Should I post my whole bootstrap file? UPDATE: Added complete bootstrap file just in case: class Bootstrap extends Zend_Application_Bootstrap_Bootstrap { protected function _initFrontController() { $this->frontController = Zend_Controller_Front::getInstance(); $this->frontController->addModuleDirectory(APPLICATION_PATH . '/modules'); Zend_Controller_Action_HelperBroker::addPath( 'My/Controller/Action/Helper', 'My_Controller_Action_Helper' ); $this->frontController->registerPlugin(new My_Controller_Plugin_Auth()); $this->frontController->setBaseUrl('/'); } protected function _initView() { $this->view = new Zend_View(); $this->view->doctype('XHTML1_STRICT'); $this->view->headScript()->appendFile($this->view->baseUrl() . '/js/jquery-ui/jquery.js'); $this->view->headMeta()->appendHttpEquiv('Content-Type', 'text/html; charset=UTF-8'); $this->view->headMeta()->appendHttpEquiv('Content-Style-Type', 'text/css'); $this->view->headMeta()->appendHttpEquiv('Content-Language', 'sk'); $this->view->headLink()->appendStylesheet($this->view->baseUrl() . '/css/reset.css'); $this->view->addHelperPath('My/View/Helper', 'My_View_Helper'); } protected function _initDb() { $this->configuration = new Zend_Config_Ini(APPLICATION_PATH . '/configs/application.ini', APPLICATION_ENVIRONMENT); $this->dbAdapter = Zend_Db::factory($this->configuration->database); Zend_Db_Table_Abstract::setDefaultAdapter($this->dbAdapter); $stmt = new Zend_Db_Statement_Pdo($this->dbAdapter, "SET NAMES 'utf8'"); $stmt->execute(); } protected function _initAuth() { $this->auth = Zend_Auth::getInstance(); } protected function _initCache() { $frontend= array('lifetime' => 7200, 'automatic_serialization' => true); $backend= array('cache_dir' => 'cache'); $this->cache = Zend_Cache::factory('core', 'File', $frontend, $backend); } public function _initTranslate() { $this->translate = new Zend_Translate('Array', BASE_PATH . '/languages/Slovak.php', 'sk_SK'); $this->translate->setLocale('sk_SK'); } protected function _initRegistry() { $this->registry = Zend_Registry::getInstance(); $this->registry->configuration = $this->configuration; $this->registry->dbAdapter = $this->dbAdapter; $this->registry->auth = $this->auth; $this->registry->cache = $this->cache; $this->registry->Zend_Translate = $this->translate; } protected function _initUnset() { unset($this->frontController, $this->view, $this->configuration, $this->dbAdapter, $this->auth, $this->cache, $this->translate, $this->registry); } protected function _initGetRidOfMagicQuotes() { if (get_magic_quotes_gpc()) { function stripslashes_deep($value) { $value = is_array($value) ? array_map('stripslashes_deep', $value) : stripslashes($value); return $value; } $_POST = array_map('stripslashes_deep', $_POST); $_GET = array_map('stripslashes_deep', $_GET); $_COOKIE = array_map('stripslashes_deep', $_COOKIE); $_REQUEST = array_map('stripslashes_deep', $_REQUEST); } } public function run() { $frontController = Zend_Controller_Front::getInstance(); $frontController->dispatch(); } }

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  • Threads to make video out of images

    - by masood
    updates: I think/ suspect the imageIO is not thread safe. shared by all threads. the read() call might use resources that are also shared. Thus it will give the performance of a single thread no matter how many threads used. ? if its correct . what is the solution (in practical code) Single request and response model at one time do not utilizes full network/internet bandwidth, thus resulting in low performance. (benchmark is of half speed utilization or even lower) This is to make a video out of an IP cam that gives a new image on each request. http://149.5.43.10:8001/snapshot.jpg It makes a delay of 3 - 8 seconds no matter what I do. Changed thread no. and thread time intervals, debugged the code by System.out.println statements to see if threads work. All seems normal. Any help? Please show some practical code. You may modify mine. This code works (javascript) with much smoother frame rate and max bandwidth usage. but the later code (java) dont. same 3 to 8 seconds gap. <!DOCTYPE html> <html> <head> <script type="text/javascript"> (function(){ var img="/*url*/"; var interval=50; var pointer=0; function showImg(image,idx) { if(idx<=pointer) return; document.body.replaceChild(image,document.getElementsByTagName("img")[0]); pointer=idx; preload(); } function preload() { var cache=null,idx=0;; for(var i=0;i<5;i++) { idx=Date.now()+interval*(i+1); cache=new Image(); cache.onload=(function(ele,idx){return function(){showImg(ele,idx);};})(cache,idx); cache.src=img+"?"+idx; } } window.onload=function(){ document.getElementsByTagName("img")[0].onload=preload; document.getElementsByTagName("img")[0].src="/*initial url*/"; }; })(); </script> </head> <body> <img /> </body> </html> and of java (with problem) : package camba; import java.applet.Applet; import java.awt.Button; import java.awt.Graphics; import java.awt.Image; import java.awt.Label; import java.awt.Panel; import java.awt.TextField; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.net.URL; import java.security.Timestamp; import java.util.Date; import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicBoolean; import javax.imageio.ImageIO; public class Camba extends Applet implements ActionListener{ Image img; TextField textField; Label label; Button start,stop; boolean terminate = false; long viewTime; public void init(){ label = new Label("please enter camera URL "); add(label); textField = new TextField(30); add(textField); start = new Button("Start"); add(start); start.addActionListener(this); stop = new Button("Stop"); add(stop); stop.addActionListener(this); } public void actionPerformed(ActionEvent e){ Button source = (Button)e.getSource(); if(source.getLabel() == "Start"){ for (int i = 0; i < 7; i++) { myThread(50*i); } System.out.println("start..."); } if(source.getLabel() == "Stop"){ terminate = true; System.out.println("stop..."); } } public void paint(Graphics g) { update(g); } public void update(Graphics g){ try{ viewTime = System.currentTimeMillis(); g.drawImage(img, 100, 100, this); } catch(Exception e) { e.printStackTrace(); } } public void myThread(final int sleepTime){ new Thread(new Runnable() { public void run() { while(!terminate){ try { TimeUnit.MILLISECONDS.sleep(sleepTime); } catch (InterruptedException ex) { ex.printStackTrace(); } long requestTime= 0; Image tempImage = null; try { URL pic = null; requestTime= System.currentTimeMillis(); pic = new URL(getDocumentBase(), textField.getText()); tempImage = ImageIO.read(pic); } catch(Exception e) { e.printStackTrace(); } if(requestTime >= /*last view time*/viewTime){ img = tempImage; Camba.this.repaint(); } } }}).start(); System.out.println("thread started..."); } }

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  • HTML Presence Controls for Communications Server 14 CodePlex Project

    Showing Presence on the Web If youre running Office Communicator Server 2007 R2, you know that your only out-of-the-box option for showing presence on the web is to use the NameControl ActiveX control that ships as part of Office.  Being an ActiveX control, this obviously means that youre limited to Internet Explorer.  Also, nobody likes ActiveX controls What if you want to show the presence of users in a pure ASP.NET or HTML application and cant assume that the user has Communicator installed you need anASP.NET or HTML presence control.  HTML Presence Controls for Microsoft Communications Server 14 We recently worked with the UC team at Microsoft on a keynote demo for TechEd 2010 in New Orleans.  The demo was for a fictitious airline Fabrikam Airlines that wanted to show the presence of customer service and reservations agents on its website.  Customers could also start an instant message conversation with the agents using a Silverlight web chat window that used WCF to communicate with the backend UCMA application. We built HTML Presence Controls that use AJAX to poll a REST-based WCF service running in IIS and hosting a UCMA 3.0 presence subscription application.   Microsoft has graciously allowed us to publish these on CodePlex so that the development community can benefit from them:  http://htmlpresencecontrols.codeplex.com/ We will be maintaining the CodePlex project as new builds of UCMA 3.0 become available.  Check out the project home page on CodePlex for some more in-depth details on how the controls are implemented. ASP.NET Server Control Implementation Were providing an ASP.NET Server Control implementation that you can use stand-alone or in a GridView or Repeater (or other layout control).  The control has properties that allow you to control its appearance, e.g. you can choose whether or not to show the contacts name or availability text. You can also use the server control in a layout control such as a GridView by putting it in a TemplateColumn and binding to the Sip Uri in the data source. Disclaimer Once we started working on these, we realized why Microsoft hasnt shipped such controls as part of the product.  There are some tradeoffs you have to be aware of when using these controls, heres the high level. Privacy The backend UCMA 3.0 application that subscribes to presence of contacts runs as a trusted application and can thus retrieve the presence of any user in the organization.  Theres currently no good way in UCMA to apply any privacy rules to ensure that the consumer of the presence controls has permission to see the presence of the contacts that the controls are bound to.  Just to be absolutely crystal clear These controls provide a way to query the presence of any user in the organization, regardless of the privacy relationship between the person consuming the controls and the contacts whose presence is being displayed. Were exploring options for a design pattern that would allow you to inject some privacy controls.  Keep in mind though that you would most likely be responsible for implementing this logic, as there is currently no functionality in UCMA that allows you to do that. Polling the WCF REST Service The controls poll the backend WCF service to retrieve the presence of contacts - you can control the refresh interval so that they poll less often. We implemented a caching layer so that the WCF service is always communicating with a presence cache it never communicates directly with Communications Server.  For example, if your web page is showing the presence of sip:[email protected] and 500 people have the page open, the presence cache only contains one instance of the subscription Communications Server is not being polled 500 times for the presence of that contact. Once the presence of a contact changes, it is updated in the cache.  There are some server-based push mechanisms that would work nicely here, such as the one that Outlook Web Access 2010 uses.  Unfortunately we didnt have time to explore these options. Community Contribution Take a look at the project Issue Tracker, there are a couple of things we can use some help with.  Shoot me a note if youre interested in contributing to the project. Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • SQL Server – SafePeak “Logon Trigger” Feature for Managing Data Access

    - by pinaldave
    Lately I received an interesting question about the abilities of SafePeak for SQL Server acceleration software: Q: “I would like to use SafePeak to make my CRM application faster. It is an application we bought from some vendor, after a while it became slow and we can’t reprogram it. SafePeak automated caching sounds like an easy and good solution for us. But, in my application there are many servers and different other applications services that address its main database, and some even change data, and I feel that there is a chance that some servers that during the connection process we may miss some. Is there a way to ensure that SafePeak will be aware of all connections to the SQL Server, so its cache will remain intact?” Interesting question, as I remember that SafePeak (http://www.safepeak.com/Product/SafePeak-Overview) likes that all traffic to the database will go thru it. I decided to check out the features of SafePeak latest version (2.1) and seek for an answer there. A: Indeed I found SafePeak has a feature they call “Logon Trigger” and is designed for that purpose. It is located in the user interface, under: Settings -> SQL instances management  ->  [your instance]  ->  [Logon Trigger] tab. From here you activate / deactivate it and control a white-list of enabled server IPs and Login names that SafePeak will ignore them. Click to Enlarge After activation of the “logon trigger” Safepeak server is notified by the SQL Server itself on each new opened connection. Safepeak monitors those connections and decides if there is something to do with them or not. On a typical installation SafePeak likes all application and users connections to go via SafePeak – this way it knows about data and schema updates immediately (real time). With activation of the safepeak “logon trigger”  a special CLR trigger is deployed on the SQL server and notifies Safepeak on any connection that has not arrived via SafePeak. In such cases Safepeak can act to clear and lock the cache or to ignore it. This feature enables to make sure SafePeak will be aware of all connections so SafePeak cache will maintain exactly correct all times. So even if a user, like a DBA will connect to the SQL Server not via SafePeak, SafePeak will know about it and take actions. The notification does not impact the work of that connection, the user or application still continue to do whatever they planned to do. Note: I found that activation of logon trigger in SafePeak requires that SafePeak SQL login will have the next permissions: 1) CONTROL SERVER; 2) VIEW SERVER STATE; 3) And the SQL Server instance is CLR enabled; Seeing SafePeak in action, I can say SafePeak brings fantastic resource for those who seek to get performance for SQL Server critical apps. SafePeak promises to accelerate SQL Server applications in just several hours of installation, automatic learning and some optimization configuration (no code changes!!!). If better application and database performance means better business to you – I suggest you to download and try SafePeak. The solution of SafePeak is indeed unique, and the questions I receive are very interesting. Have any more questions on SafePeak? Please leave your question as a comment and I will try to get an answer for you. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Tuxedo 11gR1 Client Server Affinity

    - by todd.little
    One of the major new features in Oracle Tuxedo 11gR1 is the ability to define an affinity between clients and servers. In previous releases of Tuxedo, the only way to ensure that multiple requests from a client went to the same server was to establish a conversation with tpconnect() and then use tpsend() and tprecv(). Although this works it has some drawbacks. First for single-threaded servers, the server is tied up for the entire duration of the conversation and cannot service other clients, an obvious scalability issue. I believe the more significant drawback is that the application programmer has to switch from the simple request/response model provided by tpcall() to the half duplex tpsend() and tprecv() calls used with conversations. Switching between the two typically requires a fair amount of redesign and recoding. The Client Server Affinity feature in Tuxedo 11gR1 allows by way of configuration an application to define affinities that can exist between clients and servers. This is done in the *SERVICES section of the UBBCONFIG file. Using new parameters for services defined in the *SERVICES section, customers can determine when an affinity session is created or deleted, the scope of the affinity, and whether requests can be routed outside the affinity scope. The AFFINITYSCOPE parameter can be MACHINE, GROUP, or SERVER, meaning that while the affinity session is in place, all requests from the client will be routed to the same MACHINE, GROUP, or SERVER. The creation and deletion of affinity is defined by the SESSIONROLE parameter and a service can be defined as either BEGIN, END, or NONE, where BEGIN starts an affinity session, END deletes the affinity session, and NONE does not impact the affinity session. Finally customers can define how strictly they want the affinity scope adhered to using the AFFINITYSTRICT parameter. If set to MANDATORY, all requests made during an affinity session will be routed to a server in the affinity scope. Thus if the affinity scope is SERVER, all subsequent tpcall() requests will be sent to the same server the affinity scope was established with. If the server doesn't offer that service, even though other servers do offer the service, the call will fail with TPNOENT. Setting AFFINITYSTRICT to PRECEDENT tells Tuxedo to try and route the request to a server in the affinity scope, but if that's not possible, then Tuxedo can try to route the request to servers out of scope. All of this begs the question, why? Why have this feature? There many uses for this capability, but the most common is when there is state that is maintained in a server, group of servers, or in a machine and subsequent requests from a client must be routed to where that state is maintained. This might be something as simple as a database cursor maintained by a server on behalf of a client. Alternatively it might be that the server has a connection to an external system and subsequent requests need to go back to the server that has that connection. A more sophisticated case is where a group of servers maintains some sort of cache in shared memory and subsequent requests need to be routed to where the cache is maintained. Although this last case might be able to be handled by data dependent routing, using client server affinity allows the cache to be partitioned dynamically instead of statically.

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  • July, the 31 Days of SQL Server DMO’s – Day 19 (sys.dm_exec_query_stats)

    - by Tamarick Hill
    The sys.dm_exec_query_stats DMV is one of the most useful DMV’s out there when it comes to performance tuning. If you have been keeping up with this blog series this month, you know that I started out on Day 1 reviewing many of the DMV’s within the ‘exec’ namespace. I’m not sure how I missed this one considering how valuable it is, but hey, they say it’s better late than never right?? On Day 7 and Day 8 we reviewed the sys.dm_exec_procedure_stats and sys.dm_exec_trigger_stats respectively. This sys.dm_exec_query_stats DMV is very similar to these two. As a matter of fact, this DMV will return all of the information you saw in the other two DMV’s, but in addition to that, you can see stats for all queries that have cached execution plans on your server. You can even see stats for statements that are ran Ad-Hoc as long as they are still cached in the buffer pool. To better illustrate this DMV, let have a quick look at it: SELECT * FROM sys.dm_exec_query_stats As you can see, there is a lot of information returned from this DMV. I wont go into detail about each and every one of these columns, but I will touch on a few of them briefly. The first column is the ‘sql_handle’, which if you remember from Day 4 of our blog series, I explained how you can use this column to extract the actual SQL text that was executed. The next columns statement_start_offset and statement_end_offset provide you a way of extracting the exact SQL statement that was executed as part of a batch. The plan_handle column is used to extract the Execution plan that was used, which we talked about during Day 5 of this blog series. Later in the result set, you have columns to identify how many times a particular statement was executed, how much CPU time it used, how many reads/writes it performed, the duration, how many rows were returned, etc. These columns provide you with a solid avenue to begin your performance optimization. The last column I will touch on is the query_plan_hash column. A lot of times when you have Dynamic SQL running on your server, you have similar statements with different parameter values being passed in. Many times these types of statements will get similar execution plans and then a Binary hash value can be generated based on these similar plans. This query plan hash can be used to find the cost of all queries that have similar execution plans and then you can tune based on that plan to improve the performance of all of the individual queries. This is a very powerful way of identifying and tuning Ad-hoc statements that run on your server. As I stated earlier, this sys.dm_exec_query_stats DMV is a very powerful and recommended DMV for performance tuning. You are able to quickly identify statements that are running on your server and analyze their impact on system resources. Using this DMV to track down the biggest performance killers on your server will allow you to make the biggest gains once you focus your tuning efforts on those top offenders. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms189741.aspx Follow me on Twitter @PrimeTimeDBA

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  • What I Expect From Myself This Year

    - by Lee Brandt
    I am making it a point not to call them resolutions, because the word has become an institution and is beginning to have no meaning. That's why I end up not keeping my resolutions, I think. So in the spirit of holding myself to my own commitments, I will make a plan and some realistic goals. 1.) Lose weight. Everyone has this on their list, but I am going to be conservative and specific. I currently weigh 393lbs. (yeah, I know). So I want to plan to lose 10lbs per month, that's 1lb. every three days, that shouldn't be difficult if I stick to my diet and exercise plan. - How do I do this?     - Diet: vegetarian. Since I already know I have high blood pressure and borderline high cholesterol, a meat-free diet is in order. I was vegan for a little over 2 years in 2006-2008, I think I can handle vegetarian.     - Exercise: at least 3 times (preferably every day) a week for 30 minutes. It has to be something that gets my heart rate up, or burns in my muscles. I can walk for cardio to start and mild calisthenics (girly push-ups, crunches, etc.).         - Move: I spend all my time behind the computer. I have recently started to use a slight variation of the Pomodoro Technique (my Pomodoros are 50 minutes instead of 25). During my 10 minutes every hour to answer emails, chats, etc., I will take a few minutes to stretch. 2.) Get my wife pregnant. We've been talking about it for years. Now that she is done with graduate school and I have a great job, now's the time. We'll be the oldest parents in the PTA most likely, but I don't care. 3.) Blog More. Another favorite among bloggers, but I do have about six drafts for blog posts started. The topics are there all I need to do is flesh out the post. This can be the first hour of any computer time I have after work. As soon as I am done exercising, shower and post. 4.) Speak less. Most people want to speak more. I want to concentrate on the places that I enjoy and that can really use the speakers (like local code camps), rather than trying to be some national speaker. I love speaking at conferences, but I need to spend some more time at home if we're going to get pregnant. 5.) Read more. I got a Kindle for Christmas and I am loving it so far. I have almost finished Treasure Island, and am getting ready to pick my next book. I will probably read a lot of classics for 2 reasons: (1) they teach deep lessons and (2) most are free for the Kindle. 6.) Find my religion. I was raised Southern Baptist, but I want to find my own way. I've been wanting to go to the local Unitarian Church, so I will make a point to go before the end of March. I also want to add a few religious books to my reading list. My boss bought me a copy of Lee Strobel's The Case for Christ: A Journalist's Personal Investigation of the Evidence for Jesus , and I have a copy of Bruce Feiler's Abraham: A Journey to the Heart of Three Faiths (P.S.) . I will start there. Seems like a lot now that I spell it out like this. But these are only starters. I am forty years old. I cannot keep living like I am twenty anymore. So here we go, 2011.

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  • MP3 player mpman TS300 not recognized

    - by Nick Lemaire
    I just received a mpman ts300 mp3 player for Christmas. But when I try to connect it to ubuntu (10.10) through usb it doesn't seem to be recognized. I searched for a linuxdriver but came up with nothing. I even tried installing mpman manager from the software center, but still the same problem... Has anybody got any ideas about how to fix this? Thank you edit: some additional information When I plug it in, it doesn't show up under /dev. And it is not listed in the result of 'lsusb' This is the output of 'dmesg' [19571.732541] usb 1-4: new high speed USB device using ehci_hcd and address 2 [19571.889154] scsi7 : usb-storage 1-4:1.0 [19572.883155] scsi 7:0:0:0: Direct-Access TS300 USB DISK 1.00 PQ: 0 ANSI: 0 [19572.885856] sd 7:0:0:0: Attached scsi generic sg2 type 0 [19572.887266] sd 7:0:0:0: [sdb] 7868416 512-byte logical blocks: (4.02 GB/3.75 GiB) [19573.012547] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19573.292550] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19573.572565] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19573.725019] sd 7:0:0:0: [sdb] Test WP failed, assume Write Enabled [19573.725024] sd 7:0:0:0: [sdb] Assuming drive cache: write through [19573.728521] sd 7:0:0:0: [sdb] Attached SCSI removable disk [19575.333015] sd 7:0:0:0: [sdb] 7868416 512-byte logical blocks: (4.02 GB/3.75 GiB) [19575.452547] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19580.603253] usb 1-4: device descriptor read/all, error -110 [19580.722560] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19595.842579] usb 1-4: device descriptor read/64, error -110 [19611.072656] usb 1-4: device descriptor read/64, error -110 [19611.302540] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19616.332568] usb 1-4: device descriptor read/8, error -110 [19621.462692] usb 1-4: device descriptor read/8, error -110 [19621.692551] usb 1-4: reset high speed USB device using ehci_hcd and address 2 [19626.722567] usb 1-4: device descriptor read/8, error -110 [19631.852802] usb 1-4: device descriptor read/8, error -110 [19631.962587] usb 1-4: USB disconnect, address 2 [19631.962587] sd 7:0:0:0: Device offlined - not ready after error recovery [19631.962840] sd 7:0:0:0: [sdb] Assuming drive cache: write through [19631.965104] sd 7:0:0:0: [sdb] READ CAPACITY failed [19631.965109] sd 7:0:0:0: [sdb] Result: hostbyte=DID_NO_CONNECT driverbyte=DRIVER_OK [19631.965112] sd 7:0:0:0: [sdb] Sense not available. [19631.965125] sd 7:0:0:0: [sdb] Assuming drive cache: write through [19631.965130] sdb: detected capacity change from 4028628992 to 0 [19632.130042] usb 1-4: new high speed USB device using ehci_hcd and address 3 [19647.242550] usb 1-4: device descriptor read/64, error -110 [19662.472560] usb 1-4: device descriptor read/64, error -110 [19662.702566] usb 1-4: new high speed USB device using ehci_hcd and address 4 [19677.822587] usb 1-4: device descriptor read/64, error -110 [19693.052575] usb 1-4: device descriptor read/64, error -110 [19693.282582] usb 1-4: new high speed USB device using ehci_hcd and address 5 [19698.312600] usb 1-4: device descriptor read/8, error -110 [19703.442594] usb 1-4: device descriptor read/8, error -110 [19703.672548] usb 1-4: new high speed USB device using ehci_hcd and address 6 [19708.702581] usb 1-4: device descriptor read/8, error -110 [19713.840077] usb 1-4: device descriptor read/8, error -110 [19713.942555] hub 1-0:1.0: unable to enumerate USB device on port 4 [19714.262545] usb 4-2: new full speed USB device using uhci_hcd and address 2 [19729.382549] usb 4-2: device descriptor read/64, error -110 [19744.612534] usb 4-2: device descriptor read/64, error -110 [19744.842543] usb 4-2: new full speed USB device using uhci_hcd and address 3 [19759.962714] usb 4-2: device descriptor read/64, error -110 [19775.200047] usb 4-2: device descriptor read/64, error -110 [19775.422630] usb 4-2: new full speed USB device using uhci_hcd and address 4 [19780.444498] usb 4-2: device descriptor read/8, error -110 [19785.574491] usb 4-2: device descriptor read/8, error -110 [19785.802547] usb 4-2: new full speed USB device using uhci_hcd and address 5 [19790.824490] usb 4-2: device descriptor read/8, error -110 [19795.961473] usb 4-2: device descriptor read/8, error -110 [19796.062556] hub 4-0:1.0: unable to enumerate USB device on port 2

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  • SQL SERVER – Simple Demo of New Cardinality Estimation Features of SQL Server 2014

    - by Pinal Dave
    SQL Server 2014 has new cardinality estimation logic/algorithm. The cardinality estimation logic is responsible for quality of query plans and majorly responsible for improving performance for any query. This logic was not updated for quite a while, but in the latest version of SQL Server 2104 this logic is re-designed. The new logic now incorporates various assumptions and algorithms of OLTP and warehousing workload. Cardinality estimates are a prediction of the number of rows in the query result. The query optimizer uses these estimates to choose a plan for executing the query. The quality of the query plan has a direct impact on improving query performance. ~ Souce MSDN Let us see a quick example of how cardinality improves performance for a query. I will be using the AdventureWorks database for my example. Before we start with this demonstration, remember that even though you have SQL Server 2014 to see the effect of new cardinality estimates, you will need your database compatibility mode set to 120 which is for SQL Server 2014. If your server instance of SQL Server 2014 but you have set up your database compatibility mode to 110 or any other earlier version, you will get performance from your query like older version of SQL Server. Now we will execute following query in two different compatibility mode and see its performance. (Note that my SQL Server instance is of version 2014). USE AdventureWorks2014 GO -- ------------------------------- -- NEW Cardinality Estimation ALTER DATABASE AdventureWorks2014 SET COMPATIBILITY_LEVEL = 120 GO EXEC [dbo].[uspGetManagerEmployees] 44 GO -- ------------------------------- -- Old Cardinality Estimation ALTER DATABASE AdventureWorks2014 SET COMPATIBILITY_LEVEL = 110 GO EXEC [dbo].[uspGetManagerEmployees] 44 GO Result of Statistics IO Compatibility level 120 Table ‘Person’. Scan count 0, logical reads 6, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Employee’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Compatibility level 110 Table ‘Worktable’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Person’. Scan count 0, logical reads 137, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Employee’. Scan count 2, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. Table ‘Worktable’. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. You will notice in the case of compatibility level 110 there 137 logical read from table person where as in the case of compatibility level 120 there are only 6 physical reads from table person. This drastically improves the performance of the query. If we enable execution plan, we can see the same as well. I hope you will find this quick example helpful. You can read more about this in my latest Pluralsight Course. Reference: Pinal Dave (http://blog.SQLAuthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Url rewrite subfolder to root and forbid accessing subfolder

    - by Alessandro Pezzato
    I have drupal installed in a subfolder drupal, but I want to access pages as it is in root folder: http://www.example.com instead of http://www.example.com/drupal I'm able to have this working, but it's also working with url containing subfolder, so I have http://www.example.com and a clone site in http://www.example.com/drupal What is the rule to forbid access to subfolder? I want all url starting with http://www.example.com/drupal being forbidden. This is .htaccess in / directory: Options -Indexes Options +FollowSymLinks <IfModule mod_rewrite.c> RewriteEngine on RewriteCond %{HTTP_HOST} ^www\.(.+)$ [NC] RewriteRule ^ http://%1%{REQUEST_URI} [L,R=301] RewriteRule ^(.*+)$ drupal/$1 [L,QSA] </IfModule> And this is drupal .htaccess in /drupal/ directory: Options -Indexes Options +FollowSymLinks ErrorDocument 404 index.php DirectoryIndex index.php index.html index.htm # Override PHP settings that cannot be changed at runtime. See # sites/default/default.settings.php and drupal_initialize_variables() in # includes/bootstrap.inc for settings that can be changed at runtime. # PHP 5, Apache 1 and 2. <IfModule mod_php5.c> php_flag magic_quotes_gpc off php_flag magic_quotes_sybase off php_flag register_globals off php_flag session.auto_start off php_value mbstring.http_input pass php_value mbstring.http_output pass php_flag mbstring.encoding_translation off </IfModule> # Requires mod_expires to be enabled. <IfModule mod_expires.c> # Enable expirations. ExpiresActive On # Cache all files for 2 weeks after access (A). ExpiresDefault A1209600 <FilesMatch \.php$> # Do not allow PHP scripts to be cached unless they explicitly send cache # headers themselves. Otherwise all scripts would have to overwrite the # headers set by mod_expires if they want another caching behavior. This may # fail if an error occurs early in the bootstrap process, and it may cause # problems if a non-Drupal PHP file is installed in a subdirectory. ExpiresActive Off </FilesMatch> </IfModule> # Various rewrite rules. <IfModule mod_rewrite.c> RewriteEngine on # Block access to "hidden" directories whose names begin with a period. This # includes directories used by version control systems such as Subversion or # Git to store control files. Files whose names begin with a period, as well # as the control files used by CVS, are protected by the FilesMatch directive # above. RewriteRule "(^|/)\." - [F] # To redirect all users to access the site WITH the 'www.' prefix, # (http://example.com/... will be redirected to http://www.example.com/...) # uncomment the following: # RewriteCond %{HTTP_HOST} !^www\. [NC] # RewriteRule ^ http://www.%{HTTP_HOST}%{REQUEST_URI} [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 the following: RewriteCond %{HTTP_HOST} ^www\.(.+)$ [NC] RewriteRule ^ http://%1%{REQUEST_URI} [L,R=301] RewriteBase /drupal # Pass all requests not referring directly to files in the filesystem to # index.php. Clean URLs are handled in drupal_environment_initialize(). RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteCond %{REQUEST_URI} !=/favicon.ico #RewriteRule ^ index.php [L] RewriteRule ^(.*)$ index.php?q=$1 [L,QSA] # Rules to correctly serve gzip compressed CSS and JS files. # Requires both mod_rewrite and mod_headers to be enabled. <IfModule mod_headers.c> # Serve gzip compressed CSS files if they exist and the client accepts gzip. RewriteCond %{HTTP:Accept-encoding} gzip RewriteCond %{REQUEST_FILENAME}\.gz -s RewriteRule ^(.*)\.css $1\.css\.gz [QSA] # Serve gzip compressed JS files if they exist and the client accepts gzip. RewriteCond %{HTTP:Accept-encoding} gzip RewriteCond %{REQUEST_FILENAME}\.gz -s RewriteRule ^(.*)\.js $1\.js\.gz [QSA] # Serve correct content types, and prevent mod_deflate double gzip. RewriteRule \.css\.gz$ - [T=text/css,E=no-gzip:1] RewriteRule \.js\.gz$ - [T=text/javascript,E=no-gzip:1] <FilesMatch "(\.js\.gz|\.css\.gz)$"> # Serve correct encoding type. Header append Content-Encoding gzip # Force proxies to cache gzipped & non-gzipped css/js files separately. Header append Vary Accept-Encoding </FilesMatch> </IfModule> </IfModule>

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  • T-SQL in Chicago – the LobsterPot teams with DataEducation

    - by Rob Farley
    In May, I’ll be in the US. I have board meetings for PASS at the SQLRally event in Dallas, and then I’m going to be spending a bit of time in Chicago. The big news is that while I’m in Chicago (May 14-16), I’m going to teach my “Advanced T-SQL Querying and Reporting: Building Effectiveness” course. This is a course that I’ve been teaching since the 2005 days, and have modified over time for 2008 and 2012. It’s very much my most popular course, and I love teaching it. Let me tell you why. For years, I wrote queries and thought I was good at it. I was a developer. I’d written a lot of C (and other, more fun languages like Prolog and Lisp) at university, and then got into the ‘real world’ and coded in VB, PL/SQL, and so on through to C#, and saw SQL (whichever database system it was) as just a way of getting the data back. I could write a query to return just about whatever data I wanted, and that was good. I was better at it than the people around me, and that helped. (It didn’t help my progression into management, then it just became a frustration, but for the most part, it was good to know that I was good at this particular thing.) But then I discovered the other side of querying – the execution plan. I started to learn about the translation from what I’d written into the plan, and this impacted my query-writing significantly. I look back at the queries I wrote before I understood this, and shudder. I wrote queries that were correct, but often a long way from effective. I’d done query tuning, but had largely done it without considering the plan, just inferring what indexes would help. This is not a performance-tuning course. It’s focused on the T-SQL that you read and write. But performance is a significant and recurring theme. Effective T-SQL has to be about performance – it’s the biggest way that a query becomes effective. There are other aspects too though – such as using constructs better. For example – I can write code that modifies data nicely, but if I haven’t learned about the MERGE statement and the way that it can impact things, I’m missing a few tricks. If you’re going to do this course, a good place to be is the situation I was in a few years before I wrote this course. You’re probably comfortable with writing T-SQL queries. You know how to make a SELECT statement do what you need it to, but feel there has to be a better way. You can write JOINs easily, and understand how to use LEFT JOIN to make sure you don’t filter out rows from the first table, but you’re coding blind. The first module I cover is on Query Execution. Take a look at the Course Outline at Data Education’s website. The first part of the first module is on the components of a SELECT statement (where I make you think harder about GROUP BY than you probably have before), but then we jump straight into Execution Plans. Some stuff on indexes is in there too, as is simplification and SARGability. Some of this is stuff that you may have heard me present on at conferences, but here you have me for three days straight. I’m sure you can imagine that we revisit these topics throughout the rest of the course as well, and you’d be right. In the second and third modules we look at a bunch of other aspects, including some of the T-SQL constructs that lots of people don’t know, and various other things that can help your T-SQL be, well, more effective. I’ve had quite a lot of people do this course and be itching to get back to work even on the first day. That’s not a comment about the jokes I tell, but because people want to look at the queries they run. LobsterPot Solutions is thrilled to be partnering with Data Education to bring this training to Chicago. Visit their website to register for the course. @rob_farley

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  • No sound lenovo t60 alsa ad1981 iec958

    - by Nate
    Any help on getting the sound to come through my lenovo t60 build in speakers, headphones, or mic would greatly be appreciated. The three buttons to increase, decrease sound seem to work. Bios has sound card enabled and the buttons beep when pressed. When going to Utube or playing music, no sound is heard. Thanks Nate Feb 23 - Didn't see anything specific in the sys logs with Rhythmbox when connecting my ipod. Rhythmbox is playing, but still no sound. Here is the syslog details for today. Output is set to analog output. Feb 23 17:42:32 itgis01398 rsyslogd: [origin software="rsyslogd" swVersion="4.2.0" x-pid="824" x-info="http://www.rsyslog.com"] rsyslogd was HUPed, type 'lightweight'. Feb 23 17:42:33 itgis01398 rsyslogd: [origin software="rsyslogd" swVersion="4.2.0" x-pid="824" x-info="http://www.rsyslog.com"] rsyslogd was HUPed, type 'lightweight'. Feb 23 17:42:49 itgis01398 anacron[968]: Job `cron.daily' terminated Feb 23 17:42:49 itgis01398 anacron[968]: Job `cron.weekly' started Feb 23 17:42:49 itgis01398 anacron[12067]: Updated timestamp for job `cron.weekly' to 2011-02-23 Feb 23 17:42:53 itgis01398 anacron[968]: Job `cron.weekly' terminated Feb 23 17:42:53 itgis01398 anacron[968]: Normal exit (2 jobs run) Feb 23 18:01:19 itgis01398 kernel: [ 2731.324067] usb 1-5: new high speed USB device using ehci_hcd and address 3 Feb 23 18:01:19 itgis01398 kernel: [ 2731.482879] Initializing USB Mass Storage driver... Feb 23 18:01:19 itgis01398 kernel: [ 2731.483061] usb-storage 1-5:1.0: Quirks match for vid 05ac pid 1205: 10 Feb 23 18:01:19 itgis01398 kernel: [ 2731.483116] scsi6 : usb-storage 1-5:1.0 Feb 23 18:01:19 itgis01398 kernel: [ 2731.483306] usbcore: registered new interface driver usb-storage Feb 23 18:01:19 itgis01398 kernel: [ 2731.483310] USB Mass Storage support registered. Feb 23 18:01:20 itgis01398 kernel: [ 2732.481116] scsi 6:0:0:0: Direct-Access Apple iPod 1.62 PQ: 0 ANSI: 0 Feb 23 18:01:20 itgis01398 kernel: [ 2732.482466] sd 6:0:0:0: Attached scsi generic sg2 type 0 Feb 23 18:01:20 itgis01398 kernel: [ 2732.485095] sd 6:0:0:0: [sdb] Adjusting the sector count from its reported value: 7999488 Feb 23 18:01:20 itgis01398 kernel: [ 2732.485110] sd 6:0:0:0: [sdb] 7999487 512-byte logical blocks: (4.09 GB/3.81 GiB) Feb 23 18:01:20 itgis01398 kernel: [ 2732.487933] sd 6:0:0:0: [sdb] Write Protect is off Feb 23 18:01:20 itgis01398 kernel: [ 2732.487941] sd 6:0:0:0: [sdb] Mode Sense: 64 00 00 08 Feb 23 18:01:20 itgis01398 kernel: [ 2732.487947] sd 6:0:0:0: [sdb] Assuming drive cache: write through Feb 23 18:01:20 itgis01398 kernel: [ 2732.489927] sd 6:0:0:0: [sdb] Adjusting the sector count from its reported value: 7999488 Feb 23 18:01:20 itgis01398 kernel: [ 2732.491150] sd 6:0:0:0: [sdb] Assuming drive cache: write through Feb 23 18:01:20 itgis01398 kernel: [ 2732.491163] sdb: sdb1 sdb2 Feb 23 18:01:20 itgis01398 kernel: [ 2732.510428] sd 6:0:0:0: [sdb] Adjusting the sector count from its reported value: 7999488 Feb 23 18:01:20 itgis01398 kernel: [ 2732.511288] sd 6:0:0:0: [sdb] Assuming drive cache: write through Feb 23 18:01:20 itgis01398 kernel: [ 2732.511297] sd 6:0:0:0: [sdb] Attached SCSI removable disk Feb 23 18:01:21 itgis01398 kernel: [ 2733.746675] FAT: invalid media value (0x2f) Feb 23 18:01:21 itgis01398 kernel: [ 2733.746682] VFS: Can't find a valid FAT filesystem on dev sdb1. Feb 23 18:01:22 itgis01398 upstart-udev-bridge[330]: Env must be KEY=VALUE pairs Feb 23 18:02:07 itgis01398 kernel: [ 2780.115826] sd 6:0:0:0: [sdb] Unhandled sense code Feb 23 18:02:07 itgis01398 kernel: [ 2780.115835] sd 6:0:0:0: [sdb] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Feb 23 18:02:07 itgis01398 kernel: [ 2780.115844] sd 6:0:0:0: [sdb] Sense Key : Medium Error [current] Feb 23 18:02:07 itgis01398 kernel: [ 2780.115855] Info fld=0x0 Feb 23 18:02:07 itgis01398 kernel: [ 2780.115859] sd 6:0:0:0: [sdb] Add. Sense: Unrecovered read error Feb 23 18:02:07 itgis01398 kernel: [ 2780.115870] sd 6:0:0:0: [sdb] CDB: Read(10): 28 00 00 08 fd e9 00 00 f0 00 Feb 23 18:02:07 itgis01398 kernel: [ 2780.115892] end_request: I/O error, dev sdb, sector 589289 Feb 23 18:02:49 itgis01398 kernel: [ 2821.351464] sd 6:0:0:0: [sdb] Unhandled sense code Feb 23 18:02:49 itgis01398 kernel: [ 2821.351473] sd 6:0:0:0: [sdb] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Feb 23 18:02:49 itgis01398 kernel: [ 2821.351482] sd 6:0:0:0: [sdb] Sense Key : Medium Error [current] Feb 23 18:02:49 itgis01398 kernel: [ 2821.351493] Info fld=0x0 Feb 23 18:02:49 itgis01398 kernel: [ 2821.351497] sd 6:0:0:0: [sdb] Add. Sense: No additional sense information Feb 23 18:02:49 itgis01398 kernel: [ 2821.351507] sd 6:0:0:0: [sdb] CDB: Read(10): 28 00 00 08 fe d9 00 00 10 00 Feb 23 18:02:49 itgis01398 kernel: [ 2821.351530] end_request: I/O error, dev sdb, sector 589529 Feb 23 18:17:01 itgis01398 CRON[12709]: (root) CMD ( cd / && run-parts --report /etc/cron.hourly) volume is all of the way up.

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  • Seizing the Moment with Mobility

    - by Kathryn Perry
    A guest post by Hernan Capdevila, Vice President, Oracle Fusion Apps Mobile devices are forcing a paradigm shift in the workplace – they’re changing the way businesses can do business and the type of cultures they can nurture. As our customers talk about their mobile needs, we hear them saying they want instant-on access to enterprise data so workers can be more effective at their jobs anywhere, anytime. They also are interested in being more cost effective from an IT point of view. The mobile revolution – with the idea of BYOD (bring your own device) – has added an interesting dynamic because previously IT was driving the employee device strategy and ecosystem. That's been turned on its head with the consumerization of IT. Now employees are figuring out how to use their personal devices for work purposes and IT has to figure out how to adapt. Blurring the Lines between Work and Personal Life My vision of where businesses will be five years from now is that our work lives and personal lives will be more interwoven together. In turn, enterprises will have to determine how to make employees’ work lives fit more into the fabric of their personal lives. And personal devices like smartphones are going to drive significant business value because they let us accomplish things very incrementally. I can be sitting on a train or in a taxi and be productive. At the end of any meeting, I can capture ideas and tasks or follow up with people in real time. Mobile devices enable this notion of seizing the moment – capitalizing on opportunities that might otherwise have slipped away because we're not connected. For the industry shapers out there, this is game changing. The lean and agile workforce is definitely the future. This notion of the board sitting down with the executive team to lay out strategic objectives for a three- to five-year plan, bringing in HR to determine how they're going to staff the strategic activities, kicking off the execution, and then revisiting the plan in three to five years to create another three- to five-year plan is yesterday's model. Businesses that continue to approach innovating in that way are in the dinosaur age. Today it's about incremental planning and incremental execution, which requires a lot of cohesion and synthesis within the workforce. There needs to be this interweaving notion within the workforce about how ideas cascade down, how people engage, how they stay connected, and how insights are shared. How to Survive and Thrive in Today’s Marketplace The notion of Facebook isn’t new. We lived it pre-Internet days with America Online and Prodigy – Facebook is just the renaissance of these services in a more viral and pervasive way. And given the trajectory of the consumerization of IT with people bringing their personal tooling to work, the enterprise has no option but to adapt. The sooner that businesses realize this from a top-down point of view the sooner that they will be able to really drive significant innovation and adapt to the marketplace. There are a small number of companies right now (I think it's closer to 20% rather than 80%, but the number is expanding) that are able to really innovate in this incremental marketplace. So from a competitive point of view, there's no choice but to be social and stay connected. By far the majority of users on Facebook and LinkedIn are mobile users – people on iPhones, smartphones, Android phones, and tablets. It's not the couch people, right? It's the on-the-go people – those people at the coffee shops. Usually when you're sitting at your desk on a big desktop computer, typically you have better things to do than to be on Facebook. This is a topic I'm extremely passionate about because I think mobile devices are game changing. Mobility delivers significant value to businesses – it also brings dramatic simplification from a functional point of view and transforms our work life experience. Hernan CapdevilaVice President, Oracle Applications Development

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  • Persevering & Friday Night Big Ideas

    - by Oracle Accelerate for Midsize Companies
    by Jim Lein, Oracle Midsize Programs Every successful company, personal accomplishment, and philanthropic endeavor starts with one good idea. I have my best ideas on Friday evenings. The creative side of my brain is stimulated by end of week endorphins. Free thinking. Anything is possible. But, as my kids love to remind me, most of Dad's Friday Night Big Ideas (FNBIs) fizzle on the drawing board. Usually there's one barrier blocking the way that seems insurmountable by noon on Monday. For example, trekking the 486 mile Colorado Trail is on my bucket list. Since I have a job, I'll have to do it in bits and pieces--day hikes, weekends, and a vacation week here and there. With my trick neck, backpacking is not an option. How to survive equip myself for overnight backcountry travel was that one seemingly insurmountable barrier.  Persevering Lewis and Clark wouldn't have given up so I explored options and, as I blogged about back in December, I had an FNBI to hire llamas to carry my load. Last weekend, that idea came to fruition. Early Saturday morning, I met up with Bill, the owner of Antero Llamas, for an overnight training expedition along segment 14 of the Colorado Trail with a string of twelve llamas. It was a crash course on learning how to saddle, load, pasture, and mediate squabbles. Amazingly, we left the trailhead with me, the complete novice, at the lead. Instead of trying to impart three decades of knowledge on me in two days, Bill taught me two things: "Go With the Flow" and "Plan B". It worked. There were times I would be lost in thought for long stretches of time until one snort would remind me that I had a string of twelve llamas trailing behind. A funny thing happened along the trail... Up until last Saturday, my plan had been to trek all 28 segments of the trail east to west and sequentially. Out of some self-imposed sense of decorum. That plan presented myriad logistical challenges such as impassable snow pack on the Continental Divide when segment 6 is up next. On Sunday, as we trekked along the base of 14,000 ft peaks, I applied Bill's llama handling philosophy to my quest and came up with a much more realistic and enjoyable strategy for achieving my goal.  Seize opportunities to hike regardless of order. Define my own segments. Go west to east for awhile if it makes more sense. Let the llamas carry more creature comforts. Chill out.  I will still set foot on all 486 miles of the trail. Technically, the end result will be the same.And I and my traveling companions--human and camelid--will enjoy the journey more. Much more. Got Big Ideas of Your Own? Check out Tongal. This growing Oracle customer works with brands to crowd source fantastic ideas for promoting products and services. Your great idea could earn you cash.  Looking for more news and information about Oracle Solutions for Midsize Companies? Read the latest Oracle for Midsize Companies Newsletter Sign-up to receive the latest communications from Oracle’s industry leaders and experts Jim Lein I evangelize Oracle's enterprise solutions for growing midsize companies. I recently celebrated 15 years with Oracle, having joined JD Edwards in 1999. I'm based in Evergreen, Colorado and love relating stories about creativity and innovation whether they be about software, live music, or the mountains. The views expressed here are my own, and not necessarily those of Oracle.

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