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  • Go From Social Glum to Guru at the Social Media Rally Station @ OOW

    - by Kristin Rose
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} @OPN Partners,We have some #exciting news for you! Just when you thought Oracle OpenWorld #OOW couldn’t get any better; OPN wants to announce a little something called the Social Media Rally Station™. #OMG!Enough with the social talk, hash tags and @’s, since there will be plenty of that at Oracle OpenWorld! This awesome station full of experts is the opportunity you've been looking for to optimize your online presence. You’ll start by receiving an overall evaluation of where you stand online, and get customized, face-to-face, expert advice on how to better engage with your customers and find new prospects online! Here’s what will happen at the Social Media Rally Stations: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} Partners will check in with a Rally Coordinator who will assess your needs and move you to the appropriate station. You will take part in a Professional Photo Station where you’ll get a head shot to use on social profiles, your own website, or for articles and posts about your company. Finally, the One-2-One Station Consultants will walk you through how you’re using social media today and next steps including, Google Alerts, Google Analytics, Search Engine Optimization, LinkedIn, Twitter, Facebook, Google+ and more. Finally, this is a custom engagement so you can decide how you want to focus the time. Go from Social Media glum to guru in under 25 minutes! Oh and a few other things to remember… Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} These Social Media Rally Stations will be taking place on: Sunday, 9/30 from 3-5 p.m.PT at the Esplanade level, Moscone South and Monday, 10/1 from 10 a.m. – 6 p.m. PT at the OPN Lounge in Moscone South, Exhibit Hall Level Please wear professional attire from the waist up for your head-shot Bring any login info for your social platforms Come prepared with questions for our One-2-One Consultants! If you have any questions before the hitting the ground running at the Social Media Station™ sponsored by Oracle and provided by Channel Maven Consulting, or if you’d like to schedule some time while you’re at Oracle OpenWorld, send an email to [email protected]. Oh and don’t forget to RT this post on Twitter and ‘like’ us on Facebook to spread the word! #Thanks!See you around the social-sphere,#OPN

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  • The SPARC SuperCluster

    - by Karoly Vegh
    Oracle has been providing a lead in the Engineered Systems business for quite a while now, in accordance with the motto "Hardware and Software Engineered to Work Together." Indeed it is hard to find a better definition of these systems.  Allow me to summarize the idea. It is:  Build a compute platform optimized to run your technologies Develop application aware, intelligently caching storage components Take an impressively fast network technology interconnecting it with the compute nodes Tune the application to scale with the nodes to yet unseen performance Reduce the amount of data moving via compression Provide this all in a pre-integrated single product with a single-pane management interface All these ideas have been around in IT for quite some time now. The real Oracle advantage is adding the last one to put these all together. Oracle has built quite a portfolio of Engineered Systems, to run its technologies - and run those like they never ran before. In this post I'll focus on one of them that serves as a consolidation demigod, a multi-purpose engineered system.  As you probably have guessed, I am talking about the SPARC SuperCluster. It has many great features inherited from its predecessors, and it adds several new ones. Allow me to pick out and elaborate about some of the most interesting ones from a technological point of view.  I. It is the SPARC SuperCluster T4-4. That is, as compute nodes, it includes SPARC T4-4 servers that we learned to appreciate and respect for their features: The SPARC T4 CPUs: Each CPU has 8 cores, each core runs 8 threads. The SPARC T4-4 servers have 4 sockets. That is, a single compute node can in parallel, simultaneously  execute 256 threads. Now, a full-rack SPARC SuperCluster has 4 of these servers on board. Remember the keyword demigod.  While retaining the forerunner SPARC T3's exceptional throughput, the SPARC T4 CPUs raise the bar with single performance too - a humble 5x better one than their ancestors.  actually, the SPARC T4 CPU cores run in both single-threaded and multi-threaded mode, and switch between these two on-the-fly, fulfilling not only single-threaded OR multi-threaded applications' needs, but even mixed requirements (like in database workloads!). Data security, anyone? Every SPARC T4 CPU core has a built-in encryption engine, that is, encryption algorithms cast into silicon.  A PCI controller right on the chip for customers who need I/O performance.  Built-in, no-cost Virtualization:  Oracle VM for SPARC (the former LDoms or Logical Domains) is not a server-emulation virtualization technology but rather a serverpartitioning one, the hypervisor runs in the server firmware, and all the VMs' HW resources (I/O, CPU, memory) are accessed natively, without performance overhead.  This enables customers to run a number of Solaris 10 and Solaris 11 VMs separated, independent of each other within a physical server II. For Database performance, it includes Exadata Storage Cells - one of the main reasons why the Exadata Database Machine performs at diabolic speed. What makes them important? They provide DB backend storage for your Oracle Databases to run on the SPARC SuperCluster, that is what they are built and tuned for DB performance.  These storage cells are SQL-aware.  That is, if a SPARC T4 database compute node executes a query, it doesn't simply request tons of raw datablocks from the storage, filters the received data, and throws away most of it where the statement doesn't apply, but provides the SQL query to the storage node too. The storage cell software speaks SQL, that is, it is able to prefilter and through that transfer only the relevant data. With this, the traffic between database nodes and storage cells is reduced immensely. Less I/O is a good thing - as they say, all the CPUs of the world do one thing just as fast as any other - and that is waiting for I/O.  They don't only pre-filter, but also provide data preprocessing features - e.g. if a DB-node requests an aggregate of data, they can calculate it, and handover only the results, not the whole set. Again, less data to transfer.  They support the magical HCC, (Hybrid Columnar Compression). That is, data can be stored in a precompressed form on the storage. Less data to transfer.  Of course one can't simply rely on disks for performance, there is Flash Storage included there for caching.  III. The low latency, high-speed backbone network: InfiniBand, that interconnects all the members with: Real High Speed: 40 Gbit/s. Full Duplex, of course. Oh, and a really low latency.  RDMA. Remote Direct Memory Access. This technology allows the DB nodes to do exactly that. Remotely, directly placing SQL commands into the Memory of the storage cells. Dodging all the network-stack bottlenecks, avoiding overhead, placing requests directly into the process queue.  You can also run IP over InfiniBand if you please - that's the way the compute nodes can communicate with each other.  IV. Including a general-purpose storage too: the ZFSSA, which is a unified storage, providing NAS and SAN access too, with the following features:  NFS over RDMA over InfiniBand. Nothing is faster network-filesystem-wise.  All the ZFS features onboard, hybrid storage pools, compression, deduplication, snapshot, replication, NFS and CIFS shares Storageheads in a HA-Cluster configuration providing availability of the data  DTrace Live Analytics in a web-based Administration UI Being a general purpose application data storage for your non-database applications running on the SPARC SuperCluster over whichever protocol they prefer, easily replicating, snapshotting, cloning data for them.  There's a lot of great technology included in Oracle's SPARC SuperCluster, we have talked its interior through. As for external scalability: you can start with a half- of full- rack SPARC SuperCluster, and scale out to several racks - that is, stacking not separate full-rack SPARC SuperClusters, but extending always one large instance of the size of several full-racks. Yes, over InfiniBand network. Add racks as you grow.  What technologies shall run on it? SPARC SuperCluster is a general purpose scaleout consolidation/cloud environment. You can run Oracle Databases with RAC scaling, or Oracle Weblogic (end enjoy the SPARC T4's advantages to run Java). Remember, Oracle technologies have been integrated with the Oracle Engineered Systems - this is the Oracle on Oracle advantage. But you can run other software environments such as SAP if you please too. Run any application that runs on Oracle Solaris 10 or Solaris 11. Separate them in Virtual Machines, or even Oracle Solaris Zones, monitor and manage those from a central UI. Here the key takeaways once again: The SPARC SuperCluster: Is a pre-integrated Engineered System Contains SPARC T4-4 servers with built-in virtualization, cryptography, dynamic threading Contains the Exadata storage cells that intelligently offload the burden of the DB-nodes  Contains a highly available ZFS Storage Appliance, that provides SAN/NAS storage in a unified way Combines all these elements over a high-speed, low-latency backbone network implemented with InfiniBand Can grow from a single half-rack to several full-rack size Supports the consolidation of hundreds of applications To summarize: All these technologies are great by themselves, but the real value is like in every other Oracle Engineered System: Integration. All these technologies are tuned to perform together. Together they are way more than the sum of all - and a careful and actually very time consuming integration process is necessary to orchestrate all these for performance. The SPARC SuperCluster's goal is to enable infrastructure operations and offer a pre-integrated solution that can be architected and delivered in hours instead of months of evaluations and tests. The tedious and most importantly time and resource consuming part of the work - testing and evaluating - has been done.  Now go, provide services.   -- charlie  

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  • Reference Data Management and Master Data: Are Relation ?

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

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  • Dans Guardian install

    - by Matt
    I'm trying to install Dans Guardian on a virtual machine. The instructions ask me to run the ./configure script and then execute the command make install. The configure script runs fine but the make install throws errors. Making all in src make[2]: Entering directory `/webmin/dansguardian-2.10/src' g++ -DHAVE_CONFIG_H -I. -I.. -D__CONFFILE='"/usr/local/etc/dansguardian/dansguardian.conf"' -D__LOGLOCATION='"/usr/local/var/log/dansguardian/"' -D__PIDDIR='"/usr/local/var/run"' -D__PROXYUSER='"nobody"' -D__PROXYGROUP='"nobody"' -D__CONFDIR='"/usr/local/etc/dansguardian"' -g -O2 -MT dansguardian-fancy.o -MD -MP -MF .deps/dansguardian-fancy.Tpo -c -o dansguardian-fancy.o `test -f 'downloadmanagers/fancy.cpp' || echo './'`downloadmanagers/fancy.cpp downloadmanagers/fancy.cpp: In member function âstd::string fancydm::timestring(int)â: downloadmanagers/fancy.cpp:507:72: error: âsnprintfâ was not declared in this scope make[2]: *** [dansguardian-fancy.o] Error 1 make[2]: Leaving directory `/webmin/dansguardian-2.10/src' make[1]: *** [all-recursive] Error 1 make[1]: Leaving directory `/webmin/dansguardian-2.10' make: *** [all] Error 2 I'm running 12.04 LTS server x64

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  • Take Two: Comparing JVMs on ARM/Linux

    - by user12608080
    Although the intent of the previous article, entitled Comparing JVMs on ARM/Linux, was to introduce and highlight the availability of the HotSpot server compiler (referred to as c2) for Java SE-Embedded ARM v7,  it seems, based on feedback, that everyone was more interested in the OpenJDK comparisons to Java SE-E.  In fact there were two main concerns: The fact that the previous article compared Java SE-E 7 against OpenJDK 6 might be construed as an unlevel playing field because version 7 is newer and therefore potentially more optimized. That the generic compiler settings chosen to build the OpenJDK implementations did not put those versions in a particularly favorable light. With those considerations in mind, we'll institute the following changes to this version of the benchmarking: In order to help alleviate an additional concern that there is some sort of benchmark bias, we'll use a different suite, called DaCapo.  Funded and supported by many prestigious organizations, DaCapo's aim is to benchmark real world applications.  Further information about DaCapo can be found at http://dacapobench.org. At the suggestion of Xerxes Ranby, who has been a great help through this entire exercise, a newer Linux distribution will be used to assure that the OpenJDK implementations were built with more optimal compiler settings.  The Linux distribution in this instance is Ubuntu 11.10 Oneiric Ocelot. Having experienced difficulties getting Ubuntu 11.10 to run on the original D2Plug ARMv7 platform, for these benchmarks, we'll switch to an embedded system that has a supported Ubuntu 11.10 release.  That platform is the Freescale i.MX53 Quick Start Board.  It has an ARMv7 Coretex-A8 processor running at 1GHz with 1GB RAM. We'll limit comparisons to 4 JVM implementations: Java SE-E 7 Update 2 c1 compiler (default) Java SE-E 6 Update 30 (c1 compiler is the only option) OpenJDK 6 IcedTea6 1.11pre 6b23~pre11-0ubuntu1.11.10.2 CACAO build 1.1.0pre2 OpenJDK 6 IcedTea6 1.11pre 6b23~pre11-0ubuntu1.11.10.2 JamVM build-1.6.0-devel Certain OpenJDK implementations were eliminated from this round of testing for the simple reason that their performance was not competitive.  The Java SE 7u2 c2 compiler was also removed because although quite respectable, it did not perform as well as the c1 compilers.  Recall that c2 works optimally in long-lived situations.  Many of these benchmarks completed in a relatively short period of time.  To get a feel for where c2 shines, take a look at the first chart in this blog. The first chart that follows includes performance of all benchmark runs on all platforms.  Later on we'll look more at individual tests.  In all runs, smaller means faster.  The DaCapo aficionado may notice that only 10 of the 14 DaCapo tests for this version were executed.  The reason for this is that these 10 tests represent the only ones successfully completed by all 4 JVMs.  Only the Java SE-E 6u30 could successfully run all of the tests.  Both OpenJDK instances not only failed to complete certain tests, but also experienced VM aborts too. One of the first observations that can be made between Java SE-E 6 and 7 is that, for all intents and purposes, they are on par with regards to performance.  While it is a fact that successive Java SE releases add additional optimizations, it is also true that Java SE 7 introduces additional complexity to the Java platform thus balancing out any potential performance gains at this point.  We are still early into Java SE 7.  We would expect further performance enhancements for Java SE-E 7 in future updates. In comparing Java SE-E to OpenJDK performance, among both OpenJDK VMs, Cacao results are respectable in 4 of the 10 tests.  The charts that follow show the individual results of those four tests.  Both Java SE-E versions do win every test and outperform Cacao in the range of 9% to 55%. For the remaining 6 tests, Java SE-E significantly outperforms Cacao in the range of 114% to 311% So it looks like OpenJDK results are mixed for this round of benchmarks.  In some cases, performance looks to have improved.  But in a majority of instances, OpenJDK still lags behind Java SE-Embedded considerably. Time to put on my asbestos suit.  Let the flames begin...

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  • Multiple vulnerabilities in Thunderbird

    - by chandan
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2011-2372 Permissions, Privileges, and Access Controls vulnerability 3.5 Thunderbird Solaris 11 11/11 SRU 2 Solaris 10 Contact Support CVE-2011-2995 Denial Of Service (DoS) vulnerability 10.0 CVE-2011-2997 Denial Of Service (DoS) vulnerability 10.0 CVE-2011-2998 Denial Of Service (DoS) vulnerability 10.0 CVE-2011-2999 Permissions, Privileges, and Access Controls vulnerability 4.3 CVE-2011-3000 Improper Control of Generation of Code ('Code Injection') vulnerability 4.3 CVE-2011-3001 Permissions, Privileges, and Access Controls vulnerability 4.3 CVE-2011-3005 Denial Of Service (DoS) vulnerability 9.3 CVE-2011-3232 Improper Control of Generation of Code ('Code Injection') vulnerability 9.3 This notification describes vulnerabilities fixed in third-party components that are included in Sun's product distribution.Information about vulnerabilities affecting Oracle Sun products can be found on Oracle Critical Patch Updates and Security Alerts page.

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  • What Counts for A DBA - Logic

    - by drsql
    "There are 10 kinds of people in the world. Those who will always wonder why there are only two items in my list and those who will figured it out the first time they saw this very old joke."  Those readers who will give up immediately and get frustrated with me for not explaining it to them are not likely going to be great technical professionals of any sort, much less a programmer or administrator who will be constantly dealing with the common failures that make up a DBA's day.  Many of these people will stare at this like a dog staring at a traffic signal and still have no more idea of how to decipher the riddle. Without explanation they will give up, call the joke "stupid" and, feeling quite superior, walk away indignantly to their job likely flipping patties of meat-by-product. As a data professional or any programmer who has strayed  to this very data-oriented blog, you would, if you are worth your weight in air, either have recognized immediately what was going on, or felt a bit ignorant.  Your friends are chuckling over the joke, but why is it funny? Unfortunately you left your smartphone at home on the dresser because you were up late last night programming and were running late to work (again), so you will either have to fake a laugh or figure it out.  Digging through the joke, you figure out that the word "two" is the most important part, since initially the joke mentioned 10. Hmm, why did they spell out two, but not ten? Maybe 10 could be interpreted a different way?  As a DBA, this sort of logic comes into play every day, and sometimes it doesn't involve nerdy riddles or Star Wars folklore.  When you turn on your computer and get the dreaded blue screen of death, you don't immediately cry to the help desk and sit on your thumbs and whine about not being able to work. Do that and your co-workers will question your nerd-hood; I know I certainly would. You figure out the problem, and when you have it narrowed down, you call the help desk and tell them what the problem is, usually having to explain that yes, you did in fact try to reboot before calling.  Of course, sometimes humility does come in to play when you reach the end of your abilities, but the ‘end of abilities’ is not something any of us recognize readily. It is handy to have the ability to use logic to solve uncommon problems: It becomes especially useful when you are trying to solve a data-related problem such as a query performance issue, and the way that you approach things will tell your coworkers a great deal about your abilities.  The novice is likely to immediately take the approach of  trying to add more indexes or blaming the hardware. As you become more and more experienced, it becomes increasingly obvious that performance issues are a very complex topic. A query may be slow for a myriad of reasons, from concurrency issues, a poor query plan because of a parameter value (like parameter sniffing,) poor coding standards, or just because it is a complex query that is going to be slow sometimes. Some queries that you will deal with may have twenty joins and hundreds of search criteria, and it can take a lot of thought to determine what is going on.  You can usually figure out the problem to almost any query by using basic knowledge of how joins and queries work, together with the help of such things as the query plan, profiler or monitoring tools.  It is not unlikely that it can take a full day’s work to understand some queries, breaking them down into smaller queries to find a very tiny problem. Not every time will you actually find the problem, and it is part of the process to occasionally admit that the problem is random, and everything works fine now.  Sometimes, it is necessary to realize that a problem is outside of your current knowledge, and admit temporary defeat: You can, at least, narrow down the source of the problem by looking logically at all of the possible solutions. By doing this, you can satisfy your curiosity and learn more about what the actual problem was. For example, in the joke, had you never been exposed to the concept of binary numbers, there is no way you could have known that binary - 10 = decimal - 2, but you could have logically come to the conclusion that 10 must not mean ten in the context of the joke, and at that point you are that much closer to getting the joke and at least won't feel so ignorant.

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  • Exploring TCP throughput with DTrace (2)

    - by user12820842
    Last time, I described how we can use the overlap in distributions of unacknowledged byte counts and send window to determine whether the peer's receive window may be too small, limiting throughput. Let's combine that comparison with a comparison of congestion window and slow start threshold, all on a per-port/per-client basis. This will help us Identify whether the congestion window or the receive window are limiting factors on throughput by comparing the distributions of congestion window and send window values to the distribution of outstanding (unacked) bytes. This will allow us to get a visual sense for how often we are thwarted in our attempts to fill the pipe due to congestion control versus the peer not being able to receive any more data. Identify whether slow start or congestion avoidance predominate by comparing the overlap in the congestion window and slow start distributions. If the slow start threshold distribution overlaps with the congestion window, we know that we have switched between slow start and congestion avoidance, possibly multiple times. Identify whether the peer's receive window is too small by comparing the distribution of outstanding unacked bytes with the send window distribution (i.e. the peer's receive window). I discussed this here. # dtrace -s tcp_window.d dtrace: script 'tcp_window.d' matched 10 probes ^C cwnd 80 10.175.96.92 value ------------- Distribution ------------- count 1024 | 0 2048 | 4 4096 | 6 8192 | 18 16384 | 36 32768 |@ 79 65536 |@ 155 131072 |@ 199 262144 |@@@ 400 524288 |@@@@@@ 798 1048576 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 3848 2097152 | 0 ssthresh 80 10.175.96.92 value ------------- Distribution ------------- count 268435456 | 0 536870912 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5543 1073741824 | 0 unacked 80 10.175.96.92 value ------------- Distribution ------------- count -1 | 0 0 | 1 1 | 0 2 | 0 4 | 0 8 | 0 16 | 0 32 | 0 64 | 0 128 | 0 256 | 3 512 | 0 1024 | 0 2048 | 4 4096 | 9 8192 | 21 16384 | 36 32768 |@ 78 65536 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5391 131072 | 0 swnd 80 10.175.96.92 value ------------- Distribution ------------- count 32768 | 0 65536 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5543 131072 | 0 Here we are observing a large file transfer via http on the webserver. Comparing these distributions, we can observe: That slow start congestion control is in operation. The distribution of congestion window values lies below the range of slow start threshold values (which are in the 536870912+ range), so the connection is in slow start mode. Both the unacked byte count and the send window values peak in the 65536-131071 range, but the send window value distribution is narrower. This tells us that the peer TCP's receive window is not closing. The congestion window distribution peaks in the 1048576 - 2097152 range while the receive window distribution is confined to the 65536-131071 range. Since the cwnd distribution ranges as low as 2048-4095, we can see that for some of the time we have been observing the connection, congestion control has been a limiting factor on transfer, but for the majority of the time the receive window of the peer would more likely have been the limiting factor. However, we know the window has never closed as the distribution of swnd values stays within the 65536-131071 range. So all in all we have a connection that has been mildly constrained by congestion control, but for the bulk of the time we have been observing it neither congestion or peer receive window have limited throughput. Here's the script: #!/usr/sbin/dtrace -s tcp:::send / (args[4]-tcp_flags & (TH_SYN|TH_RST|TH_FIN)) == 0 / { @cwnd["cwnd", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_cwnd); @ssthresh["ssthresh", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_cwnd_ssthresh); @unacked["unacked", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_snxt - args[3]-tcps_suna); @swnd["swnd", args[4]-tcp_sport, args[2]-ip_daddr] = quantize((args[4]-tcp_window)*(1 tcps_snd_ws)); } One surprise here is that slow start is still in operation - one would assume that for a large file transfer, acknowledgements would push the congestion window up past the slow start threshold over time. The slow start threshold is in fact still close to it's initial (very high) value, so that would suggest we have not experienced any congestion (the slow start threshold is adjusted when congestion occurs). Also, the above measurements were taken early in the connection lifetime, so the congestion window did not get a changes to get bumped up to the level of the slow start threshold. A good strategy when examining these sorts of measurements for a given service (such as a webserver) would be start by examining the distributions above aggregated by port number only to get an overall feel for service performance, i.e. is congestion control or peer receive window size an issue, or are we unconstrained to fill the pipe? From there, the overlap of distributions will tell us whether to drill down into specific clients. For example if the send window distribution has multiple peaks, we may want to examine if particular clients show issues with their receive window.

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  • Oracle BI Executive Forum 2011 ?? ???????????????! Oracle Technology Day 2012 in Osaka

    - by user765123
    .NewsType1111 img{border:none; vertical-align:bottom;} .NewsType1111 p{margin:0; padding:0;} .NewsType1111 td{color:#333333; line-height:1.5; font-family:"MS P????", Osaka, Hiragino Kaku Gothic Pro; font-size:12px;} .NewsType1111 table.t10 td, .small{font-size:10px;} .NewsType1111 a:link, a:visited{color:#ff0000;} .NewsType1111 a:hover, a:active{color:#ff0000; text-decoration:none;} .NewsType1111 a.l01:link, a.l01:visited, a.l01:hover, a.l01:active{color:#333333;} .NewsType1111 span.r, td.r{color:#ff0000;} .NewsType1111 table.tbl-semi td{padding:5px;} ???????????????????????????/???????????????????????????????? ????????????????"????"?iPad 5,000?????????????????????LIXIL????????????????Oracle Exalytics In-Memory Machine??????????????????????????????????????? ??·?????????? >> ???Oracle Technology Day???????????? Oracle?????????????????????????????????????????????????????????????DB????????????????DB?????·????????????????????????????????????????????????????????Oracle??????????????????????! ??·?????????? >> ¦???????????????????¦?????????????????????????¦????????????????????????? ????????????????/????????????????????????IT????????????????????????????????????????????????????IT????????????????????????? ????????????????????????IT????????????????????????????????????????6??Oracle Fusion Middleware??????????????????????????????? ????????? ??????????? ??UFJ???????????????? UCOM? ?????? ????????????? ??????????? ??·?????????? >> ????????????????????????????????????????????????????????????????M2M(Machine to Machine)?????IT?????????????????????????????????????????????????????????????????? ??·?????????? >> ?????????????!??????????????? ? CFO for Tomorrow IFRS??????????????·????????? ? Oracle Business Intelligence ????????????BI(????????????)?? ? ??????????????????????? ?????????????????? more solutions ? ANA ????????????????????Oracle® Coherence????????????????????????????????10???? ? ?? Oracle BIEE????????????????????????????????·?????????Oracle BIEE???? ? ?????? Oracle iLearning?????????????????????????????? more success stories ? OTN?????????? 100??????????????????????????????? ? ??&?????? ???????????????????????? ?? ???? ?? 11/15?(?)15:00~17:30 ?????·???????????????????????? ??????????(??) 11/16?(?)~17?(?)9:15~17:30(17??9:30??) ???????????2011 ???UDX 4F(??) 11/16?(?)15:30~17:30 ????????????????????/????????????? ?????????????????(??) 11/16?(?)18:30~20:30 ???????????? WebLogic Server??? ??????????(??) 11/17?(?)13:30~16:40 ?19? ?! Click?????????Oracle Database ???????&?????????????????? ???????????1F?????(??) 11/17?(?)14:00~17:00 ?????????????????? ??????????(??) 11/17?(?)17:30~19:00 ???????????Oracle&JAVA?????????????? ??????????????????(???) 11/18?(?)13:30~16:40 ?20? ?! Click??????? in ????Oracle Database ???????&?????????????????? ????? 2F?????(??) 11/19?(?)~20?(?)10:00~17:00 ?????????????? 2011 Tokyo/Fall ???? 28??(???4F???)(??) 11/21?(?)~23?(?·?)?20?(?)??????? ?31? ????????? ????????????? ??????????????????????????????????(???) 11/21?(?)15:00~17:30 ?????????????,?????????????? ??????????????????(??) 11/22?(?)10:00~15:10 ??IT???? FIT????? ??????·?????(??) 11/22?(?)13:00~18:00 ?????!??????????????????????? ??????????(??) 11/22?(?)13:30~16:30 ?????????? in ?? ?10???? ?????????? 5F51???(??) 11/22?(?)15:00~17:30 ?????????????,?????????????? ??????????(??) 11/29?(?)13:00~17:00 ??????? 2011 ????·??????? ??????????(??) -- Copyright © 2011, Oracle.All Rights Reserved. ???????????? | ???????????? | ??????????/????????

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  • 2-Bay External HDD Enclosure in JBOD mode fails to detect both drives (Linux & Windows)

    - by mgc8888
    I recently purchased a couple of USB 3.0 External HDD Enclosures to use for storage and backup; the idea was to have one act as backup to the other, with 4 x 3TB drives in total. However, the second drive in each is not accessible in either Linux nor Windows, and I could not determine the reason. 1. Situation The two enclosures are slightly different (couldn't find them in stock at the same time) yet from many little details appear to be the same Chinese base design with a tweaked outer shell. The models are: Sharkoon 2-Bay RAID Box Fantec MR-35DU3 The drives are Seagate 3TB Barracuda ST33000651AS, firmware CC44, all identical. From reading manuals and online sources, I determined that JBOD would be the optimal setup for my needs -- addressing the two drives separately in each enclosure would be important, making it easy to swap drives and mix&match them if needed; all the other modes implied the controller doing a combination of the drives. The software used was Debian GNU/Linux - testing/wheezy - kernel 2.6.39-2 and Windows 7 Ultimate. 2. Description of the problem Now, here comes the problem: every time I connect either of the enclosures to a PC using the supplied cable (tried a different one as well), only the HDD in the top bay is readable, the one below is detected yet errors out in various ways. According to the manuals, it should not happen: in JBOD, the system should be able to "see" two separate drives upon connection. This happens with both enclosures and any combination of HDDs (i.e. if I swap them, the same thing happens), so the HDDs are good and I think so are the enclosures (two different companies making similar products that failed in an identical fashion would be very unlikely). The top HDD can be used fine every time, I actually tried a speed test from Linux and got about 150MiB/s reads, so all is working as it should; the one below refuses to work every time. So the failure is consistent. To make sure this was not some obscure Linux bug, I tried the same under Windows 7, and the system also only created one drive letter for a drive of 3TB size (so it was only seeing one instead of both). Placing an older, known good, 2TB drive in the top bay made that the one recognised, so we have the same issue under Windows as well. Log entries under Linux (tested here with a 3TB and a 2TB drive so I could differentiate them; either one works in the top enclosure, in the test setup the 3TB one is on top). You can see them being detected, the top one is ok, but for the bottom one only errors: Jul 19 23:28:15 media kernel: [260150.582436] usb 6-1: New USB device found, idVendor=1ca1, idProduct=18ae Jul 19 23:28:15 media kernel: [260150.582440] usb 6-1: New USB device strings: Mfr=1, Product=2, SerialNumber=3 Jul 19 23:28:15 media kernel: [260150.582442] usb 6-1: Product: Usb Sata Bridge Jul 19 23:28:15 media kernel: [260150.582444] usb 6-1: Manufacturer: SYMWAVE Jul 19 23:28:15 media kernel: [260150.582446] usb 6-1: SerialNumber: 39584B304C4E3441 Jul 19 23:28:15 media kernel: [260150.870412] scsi11 : usb-storage 6-1:1.0 Jul 19 23:28:16 media kernel: [260151.882087] scsi 11:0:0:0: Direct-Access SYMWAVE ST33000651AS CC44 PQ: 0 ANSI: 4 Jul 19 23:28:16 media kernel: [260151.882242] scsi 11:0:0:1: Direct-Access SYMWAVE ST32000641AS CC12 PQ: 0 ANSI: 4 Jul 19 23:28:16 media kernel: [260151.882677] sd 11:0:0:0: Attached scsi generic sg2 type 0 Jul 19 23:28:16 media kernel: [260151.882774] sd 11:0:0:0: [sdb] Very big device. Trying to use READ CAPACITY(16). Jul 19 23:28:16 media kernel: [260151.882857] sd 11:0:0:1: Attached scsi generic sg3 type 0 Jul 19 23:28:16 media kernel: [260151.882893] sd 11:0:0:0: [sdb] 5860533168 512-byte logical blocks: (3.00 TB/2.72 TiB) Jul 19 23:28:16 media kernel: [260151.883085] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.883582] sd 11:0:0:0: [sdb] Write Protect is off Jul 19 23:28:16 media kernel: [260151.883961] sd 11:0:0:1: [sdc] 3907029168 512-byte logical blocks: (2.00 TB/1.81 TiB) Jul 19 23:28:16 media kernel: [260151.884145] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.884570] sd 11:0:0:1: [sdc] Write Protect is off Jul 19 23:28:16 media kernel: [260151.884855] sd 11:0:0:0: [sdb] Very big device. Trying to use READ CAPACITY(16). Jul 19 23:28:16 media kernel: [260151.885286] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.885807] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.909595] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.910159] sd 11:0:0:1: [sdc] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Jul 19 23:28:16 media kernel: [260151.910163] sd 11:0:0:1: [sdc] Sense Key : Illegal Request [current] Jul 19 23:28:16 media kernel: [260151.910167] Info fld=0x0 Jul 19 23:28:16 media kernel: [260151.910169] sd 11:0:0:1: [sdc] Add. Sense: Invalid field in cdb Jul 19 23:28:16 media kernel: [260151.910172] sd 11:0:0:1: [sdc] CDB: Read(10): 28 20 00 00 00 00 00 00 08 00 Jul 19 23:28:16 media kernel: [260151.910182] quiet_error: 2 callbacks suppressed Jul 19 23:28:16 media kernel: [260151.910570] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.911153] sd 11:0:0:1: [sdc] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Jul 19 23:28:16 media kernel: [260151.911156] sd 11:0:0:1: [sdc] Sense Key : Illegal Request [current] Jul 19 23:28:16 media kernel: [260151.911159] Info fld=0x0 Jul 19 23:28:16 media kernel: [260151.911161] sd 11:0:0:1: [sdc] Add. Sense: Invalid field in cdb Jul 19 23:28:16 media kernel: [260151.911164] sd 11:0:0:1: [sdc] CDB: Read(10): 28 20 00 00 00 00 00 00 08 00 Jul 19 23:28:16 media kernel: [260151.911385] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.911902] sd 11:0:0:1: [sdc] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Jul 19 23:28:16 media kernel: [260151.911905] sd 11:0:0:1: [sdc] Sense Key : Illegal Request [current] Jul 19 23:28:16 media kernel: [260151.911908] Info fld=0x0 Jul 19 23:28:16 media kernel: [260151.911910] sd 11:0:0:1: [sdc] Add. Sense: Invalid field in cdb Jul 19 23:28:16 media kernel: [260151.911913] sd 11:0:0:1: [sdc] CDB: Read(10): 28 20 00 00 00 00 00 00 08 00 Jul 19 23:28:16 media kernel: [260151.912128] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.912650] sd 11:0:0:1: [sdc] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Jul 19 23:28:16 media kernel: [260151.912653] sd 11:0:0:1: [sdc] Sense Key : Illegal Request [current] Jul 19 23:28:16 media kernel: [260151.912656] Info fld=0x0 Jul 19 23:28:16 media kernel: [260151.912657] sd 11:0:0:1: [sdc] Add. Sense: Invalid field in cdb Jul 19 23:28:16 media kernel: [260151.912660] sd 11:0:0:1: [sdc] CDB: Read(10): 28 20 00 00 00 00 00 00 08 00 Jul 19 23:28:16 media kernel: [260151.912876] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.913439] sd 11:0:0:1: [sdc] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Jul 19 23:28:16 media kernel: [260151.913442] sd 11:0:0:1: [sdc] Sense Key : Illegal Request [current] Jul 19 23:28:16 media kernel: [260151.913445] Info fld=0x0 Jul 19 23:28:16 media kernel: [260151.913446] sd 11:0:0:1: [sdc] Add. Sense: Invalid field in cdb Jul 19 23:28:16 media kernel: [260151.913449] sd 11:0:0:1: [sdc] CDB: Read(10): 28 20 00 00 00 00 00 00 08 00 Jul 19 23:28:16 media kernel: [260151.945227] xhci_hcd 0000:03:00.0: WARN: Stalled endpoint Jul 19 23:28:16 media kernel: [260151.945863] sd 11:0:0:1: [sdc] Result: hostbyte=DID_OK driverbyte=DRIVER_SENSE Jul 19 23:28:16 media kernel: [260151.945866] sd 11:0:0:1: [sdc] Sense Key : Illegal Request [current] Jul 19 23:28:16 media kernel: [260151.945870] Info fld=0x0 Jul 19 23:28:16 media kernel: [260151.945871] sd 11:0:0:1: [sdc] Add. Sense: Invalid field in cdb Jul 19 23:28:16 media kernel: [260151.945875] sd 11:0:0:1: [sdc] CDB: Read(10): 28 20 00 00 00 00 00 00 08 00 (...) and so on for like 10 seconds until it gives up (...) 3. Question So, my question would be: what is causing this? Am I missing something, should I configure things differently, is this a known limitation? Searching online for more information did not yield any useful results... Thank you in advance for any help!

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  • Root certificate authority works windows/linux but not mac osx - (malformed)

    - by AKwhat
    I have created a self-signed root certificate authority which if I install onto windows, linux, or even using the certificate store in firefox (windows/linux/macosx) will work perfectly with my terminating proxy. I have installed it into the system keychain and I have set the certificate to always trust. Within the chrome browser details it says "The certificate that Chrome received during this connection attempt is not formatted correctly, so Chrome cannot use it to protect your information. Error type: Malformed certificate" I used this code to create the certificate: openssl genrsa -des3 -passout pass:***** -out private/server.key 4096 openssl req -batch -passin pass:***** -new -x509 -nodes -sha1 -days 3600 -key private/server.key -out server.crt -config ../openssl.cnf If the issue is NOT that it is malformed (because it works everywhere else) then what else could it be? Am I installing it incorrectly? To be clear: Within the windows/linux OS, all browsers work perfectly. Within mac only firefox works if it uses its internal certificate store and not the keychain. It's the keychain method of importing a certificate that causes the issue. Thus, all browsers using the keychain will not work. Root CA Cert: -----BEGIN CERTIFICATE----- **some base64 stuff** -----END CERTIFICATE----- Intermediate CA Cert: Certificate: Data: Version: 3 (0x2) Serial Number: 1 (0x1) Signature Algorithm: sha1WithRSAEncryption Issuer: C=*****, ST=*******, L=******, O=*******, CN=******/emailAddress=****** Validity Not Before: May 21 13:57:32 2014 GMT Not After : Jun 20 13:57:32 2014 GMT Subject: C=*****, ST=********, O=*******, CN=*******/emailAddress=******* Subject Public Key Info: Public Key Algorithm: rsaEncryption RSA Public Key: (4096 bit) Modulus (4096 bit): 00:e7:2d:75:38:23:02:8e:b9:8d:2f:33:4c:2a:11: 6d:d4:f8:29:ab:f3:fc:12:00:0f:bb:34:ec:35:ed: a5:38:10:1e:f3:54:c2:69:ae:3b:22:c0:0d:00:97: 08:da:b9:c9:32:c0:c6:b1:8b:22:7e:53:ea:69:e2: 6d:0f:bd:f5:96:b2:d0:0d:b2:db:07:ba:f1:ce:53: 8a:5e:e0:22:ce:3e:36:ed:51:63:21:e7:45:ad:f9: 4d:9b:8f:7f:33:4c:ed:fc:a6:ac:16:70:f5:96:36: 37:c8:65:47:d1:d3:12:70:3e:8d:2f:fb:9f:94:e0: c9:5f:d0:8c:30:e0:04:23:38:22:e5:d9:84:15:b8: 31:e7:a7:28:51:b8:7f:01:49:fb:88:e9:6c:93:0e: 63:eb:66:2b:b4:a0:f0:31:33:8b:b4:04:84:1f:9e: d5:ed:23:cc:bf:9b:8e:be:9a:5c:03:d6:4f:1a:6f: 2d:8f:47:60:6c:89:c5:f0:06:df:ac:cb:26:f8:1a: 48:52:5e:51:a0:47:6a:30:e8:bc:88:8b:fd:bb:6b: c9:03:db:c2:46:86:c0:c5:a5:45:5b:a9:a3:61:35: 37:e9:fc:a1:7b:ae:71:3a:5c:9c:52:84:dd:b2:86: b3:2e:2e:7a:5b:e1:40:34:4a:46:f0:f8:43:26:58: 30:87:f9:c6:c9:bc:b4:73:8b:fc:08:13:33:cc:d0: b7:8a:31:e9:38:a3:a9:cc:01:e2:d4:c2:a5:c1:55: 52:72:52:2b:06:a3:36:30:0c:5c:29:1a:dd:14:93: 2b:9d:bf:ac:c1:2d:cd:3f:89:1f:bc:ad:a4:f2:bd: 81:77:a9:f4:f0:b9:50:9e:fb:f5:da:ee:4e:b7:66: e5:ab:d1:00:74:29:6f:01:28:32:ea:7d:3f:b3:d7: 97:f2:60:63:41:0f:30:6a:aa:74:f4:63:4f:26:7b: 71:ed:57:f1:d4:99:72:61:f4:69:ad:31:82:76:67: 21:e1:32:2f:e8:46:d3:28:61:b1:10:df:4c:02:e5: d3:cc:22:30:a4:bb:81:10:dc:7d:49:94:b2:02:2d: 96:7f:e5:61:fa:6b:bd:22:21:55:97:82:18:4e:b5: a0:67:2b:57:93:1c:ef:e5:d2:fb:52:79:95:13:11: 20:06:8c:fb:e7:0b:fd:96:08:eb:17:e6:5b:b5:a0: 8d:dd:22:63:99:af:ad:ce:8c:76:14:9a:31:55:d7: 95:ea:ff:10:6f:7c:9c:21:00:5e:be:df:b0:87:75: 5d:a6:87:ca:18:94:e7:6a:15:fe:27:dd:28:5e:c0: ad:d2:91:d3:2d:8e:c3:c0:9f:fb:ff:c0:36:7e:e2: d7:bc:41 Exponent: 65537 (0x10001) X509v3 extensions: X509v3 Subject Alternative Name: DNS:localhost, DNS:dropbox.com, DNS:*.dropbox.com, DNS:filedropper.com, DNS:*.filedropper.com X509v3 Subject Key Identifier: F3:E5:38:5B:3C:AF:1C:73:C1:4C:7D:8B:C8:A1:03:82:65:0D:FF:45 X509v3 Authority Key Identifier: keyid:2B:37:39:7B:9F:45:14:FE:F8:BC:CA:E0:6E:B4:5F:D6:1A:2B:D7:B0 DirName:/C=****/ST=******/L=*******/O=*******/CN=******/emailAddress=******* serial:EE:8C:A3:B4:40:90:B0:62 X509v3 Basic Constraints: CA:TRUE Signature Algorithm: sha1WithRSAEncryption 46:2a:2c:e0:66:e3:fa:c6:80:b6:81:e7:db:c3:29:ab:e7:1c: f0:d9:a0:b7:a9:57:8c:81:3e:30:8f:7d:ef:f7:ed:3c:5f:1e: a5:f6:ae:09:ab:5e:63:b4:f6:d6:b6:ac:1c:a0:ec:10:19:ce: dd:5a:62:06:b4:88:5a:57:26:81:8e:38:b9:0f:26:cd:d9:36: 83:52:ec:df:f4:63:ce:a1:ba:d4:1c:ec:b6:66:ed:f0:32:0e: 25:87:79:fa:95:ee:0f:a0:c6:2d:8f:e9:fb:11:de:cf:26:fa: 59:fa:bd:0b:74:76:a6:5d:41:0d:cd:35:4e:ca:80:58:2a:a8: 5d:e4:d8:cf:ef:92:8d:52:f9:f2:bf:65:50:da:a8:10:1b:5e: 50:a7:7e:57:7b:94:7f:5c:74:2e:80:ae:1e:24:5f:0b:7b:7e: 19:b6:b5:bd:9d:46:5a:e8:47:43:aa:51:b3:4b:3f:12:df:7f: ef:65:21:85:c2:f6:83:84:d0:8d:8b:d9:6d:a8:f9:11:d4:65: 7d:8f:28:22:3c:34:bb:99:4e:14:89:45:a4:62:ed:52:b1:64: 9a:fd:08:cd:ff:ca:9e:3b:51:81:33:e6:37:aa:cb:76:01:90: d1:39:6f:6a:8b:2d:f5:07:f8:f4:2a:ce:01:37:ba:4b:7f:d4: 62:d7:d6:66:b8:78:ad:0b:23:b6:2e:b0:9a:fc:0f:8c:4c:29: 86:a0:bc:33:71:e5:7f:aa:3e:0e:ca:02:e1:f6:88:f0:ff:a2: 04:5a:f5:d7:fe:7d:49:0a:d2:63:9c:24:ed:02:c7:4d:63:e6: 0c:e1:04:cd:a4:bf:a8:31:d3:10:db:b4:71:48:f7:1a:1b:d9: eb:a7:2e:26:00:38:bd:a8:96:b4:83:09:c9:3d:79:90:e1:61: 2c:fc:a0:2c:6b:7d:46:a8:d7:17:7f:ae:60:79:c1:b6:5c:f9: 3c:84:64:7b:7f:db:e9:f1:55:04:6e:b5:d3:5e:d3:e3:13:29: 3f:0b:03:f2:d7:a8:30:02:e1:12:f4:ae:61:6f:f5:4b:e9:ed: 1d:33:af:cd:9b:43:42:35:1a:d4:f6:b9:fb:bf:c9:8d:6c:30: 25:33:43:49:32:43:a5:a8:d8:82:ef:b0:a6:bd:8b:fb:b6:ed: 72:fd:9a:8f:00:3b:97:a3:35:a4:ad:26:2f:a9:7d:74:08:82: 26:71:40:f9:9b:01:14:2e:82:fb:2f:c0:11:51:00:51:07:f9: e1:f6:1f:13:6e:03:ee:d7:85:c2:64:ce:54:3f:15:d4:d7:92: 5f:87:aa:1e:b4:df:51:77:12:04:d2:a5:59:b3:26:87:79:ce: ee:be:60:4e:87:20:5c:7f -----BEGIN CERTIFICATE----- **some base64 stuff** -----END CERTIFICATE-----

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  • What is the RSA SecurID packet format?

    - by bmatthews68
    I am testing a client application that authenticates using RSA SecurID hardware tokens. The authentication is failing and I am not finding any useful information in the log files. I am using Authentication Manager 8.0 and the Java SDK. I have a traffic capture which I would like to analyze with Wireshark to and from port 5500 on the authentication agent. But I can't find the packet format searching the internet or on the the RSA SecurCare knowledge base. Can anybody direct me to the packet format? Here is an extract from the rsa_api_debug.log file which dumps the UDP payload of the request and the response: [2013-11-06 15:11:08,602] main - b.a():? - Sending 508 bytes to 192.168.10.121; contents: 5c 5 0 3 3 5 0 0 2 0 0 0 0 0 1 ea 71 ee 50 6e 45 83 95 8 39 4 72 e 55 cf cc 62 6d d5 a4 10 79 89 13 d5 23 6a c1 ab 33 8 c3 a1 91 92 93 4f 1e 4 8d 2a 22 2c d0 c3 7 fc 96 5f ba bf 0 80 60 60 9d 1d 9c b9 f3 58 4b 43 18 5f e0 6d 5e f5 f4 5d df bf 41 b9 9 ae 46 a0 a9 66 2d c7 6 f6 d7 66 f1 4 f8 ad 8a 9f 4d 7e e5 9c 45 67 16 15 33 70 f0 1 d5 c0 38 39 f5 fd 5e 15 4f e3 fe ea 70 fa 30 c9 e0 18 ab 64 a9 fe 2c 89 78 a2 96 b6 76 3e 2e a2 ae 2e e0 69 80 8d 51 9 56 80 f4 1a 73 9a 70 f3 e7 c1 49 49 c3 41 3 c6 ce 3e a8 68 71 3f 2 b2 9b 27 8e 63 ce 59 38 64 d1 75 b7 b7 1f 62 eb 4d 1d de c7 21 e0 67 85 b e6 c3 80 0 60 54 47 e ef 3 f9 33 7b 78 e2 3e db e4 8e 76 73 45 3 38 34 1e dd 43 3e 72 a7 37 72 5 34 8e f4 ba 9d 71 6c e 45 49 fa 92 a f6 b bf 5 b 4f dc bd 19 0 7e d2 ef 94 d 3b 78 17 37 d9 ae 19 3a 7e 46 7d ea e4 3a 8c e1 e5 9 50 a2 eb df f2 57 97 bc f2 c3 a7 6f 19 7f 2c 1a 3f 94 25 19 4b b2 37 ed ce 97 f ae f ec c9 f5 be f0 8f 72 1c 34 84 1b 11 25 dd 44 8b 99 75 a4 77 3d e1 1d 26 41 58 55 5f d5 27 82 c d3 2a f8 4 aa 8d 5e e4 79 0 49 43 59 27 5e 15 87 a f4 c4 57 b6 e1 f8 79 3b d3 20 69 5e d0 80 6a 6b 9f 43 79 84 94 d0 77 b6 fc f 3 22 ca b9 35 c0 e8 7b e9 25 26 7f c9 fb e4 a7 fc bb b7 75 ac 7b bc f4 bb 4f a8 80 9b 73 da 3 94 da 87 e7 94 4c 80 b3 f1 2e 5b d8 2 65 25 bb 92 f4 92 e3 de 8 ee 2 30 df 84 a4 69 a6 a1 d0 9c e7 8e f 8 71 4b d0 1c 14 ac 7c c6 e3 2a 2e 2a c2 32 bc 21 c4 2f 4d df 9a f3 10 3e e5 c5 7f ad e4 fb ae 99 bf 58 0 20 0 0 0 0 0 0 0 0 0 0 [2013-11-06 15:11:08,602] main - b.b():? - Enterring getResponse [2013-11-06 15:11:08,618] main - b.a():? - Enterring getTimeoutValue(AceRequest AceAuthV4Request[AbstractAceRequest[ hdr=AcePacketHeader[Type=92 Ver=5 AppID=3 Enc=ENCRYPT Hi-Proto=5 Opt=0 CirID=0] created=1383750668571 trailer=AcePackeTrailer[nonce=39e7a607b517c4dd crc=722833884]] user=bmatthews node-sec-req=0 wpcodes=null resp-mac=0 m-resp-mac=0 client=192.168.10.3 passcode==ZTmY|? sec-sgmt=AceSecondarySegments[ cnt=3] response=none]) [2013-11-06 15:11:08,618] main - b.a():? - acm base timeout: 5 [2013-11-06 15:11:08,618] main - b.b():? - Timeout is 5000 [2013-11-06 15:11:08,618] main - b.b():? - Current retries: 0 [2013-11-06 15:11:10,618] main - b.b():? - Received 508 bytes from 192.168.10.121; contents: 6c 5 0 3 3 6 0 0 0 0 0 1 4d 18 55 ca 18 df 84 49 70 ee 24 4a a5 c3 1c 4e 36 d8 51 ad c7 ef 49 89 6e 2e 23 b4 7e 49 73 4 15 d f4 d5 c0 bf fc 72 5b be d1 62 be e0 de 23 56 bf 26 36 7f b f0 ba 42 61 9b 6f 4b 96 88 9c e9 86 df c6 82 e5 4c 36 ee dc 1e d8 a1 0 71 65 89 dc ca ee 87 ae d6 60 c 86 1c e8 ef 9f d9 b9 4c ed 7 55 77 f3 fc 92 61 f9 32 70 6f 32 67 4d fc 17 4e 7b eb c3 c7 8c 64 3f d0 d0 c7 86 ad 4e 21 41 a2 80 dd 35 ba 31 51 e2 a0 ef df 82 52 d0 a8 43 cb 7c 51 c 85 4 c5 b2 ec 8f db e1 21 90 f5 d7 1b d7 14 ca c0 40 c5 41 4e 92 ee 3 ec 57 7 10 45 f3 54 d7 e4 e6 6e 79 89 9a 21 70 7a 3f 20 ab af 68 34 21 b7 1b 25 e1 ab d 9f cd 25 58 5a 59 b1 b8 98 58 2f 79 aa 8a 69 b9 4c c1 7d 36 28 a3 23 f5 cc 2b ab 9e f a1 79 ab 90 fd 5f 76 9f d9 86 d1 fc 4c 7a 4 24 6d de 64 f1 53 22 b0 b7 91 9a 7c a2 67 2a 35 68 83 74 6a 21 ac eb f8 a2 29 53 21 2f 5a 42 d6 26 b8 f6 7f 79 96 5 3b c2 15 3a b d0 46 42 b7 74 4e 1f 6a ad f5 73 70 46 d3 f8 e a3 83 a3 15 29 6e 68 2 df 56 5c 88 8d 6c 2f ab 11 f1 5 73 58 ec 4 5f 80 e3 ca 56 ce 8 b9 73 7c 79 fc 3 ff f1 40 97 bb e3 fb 35 d1 8d ba 23 fc 2d 27 5b f7 be 15 de 72 30 b e d6 5c 98 e8 44 bd ed a4 3d 87 b8 9b 35 e9 64 80 9a 2a 3c a2 cf 3e 39 cb f6 a2 f4 46 c7 92 99 bc f7 4a de 7e 79 9d 9b d9 34 7f df 27 62 4f 5b ef 3a 4c 8d 2e 66 11 f7 8 c3 84 6e 57 ba 2a 76 59 58 78 41 18 66 76 fd 9d cb a2 14 49 e1 59 4a 6e f5 c3 94 ae 1a ba 51 fc 29 54 ba 6c 95 57 6b 20 87 cc b8 dc 5f 48 72 9c c0 2c dd 60 56 4e 4c 6c 1d 40 bd 4 a1 10 4e a4 b1 87 83 dd 1c f2 df 4c [2013-11-06 15:11:10,618] main - a.a():? - Response status is: 1 [2013-11-06 15:11:10,618] main - a.a():? - Authenticaton failed for bmatthews ! [2013-11-06 15:11:10,618] main - AuthSessionFactory.shutdown():? - RSA Authentication API shutdown invoked [2013-11-06 15:11:10,618] main - AuthSessionFactory.shutdown():? - RSA Authentication API shutdown successful

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  • What is correct HTTP status code when redirecting to a login page?

    - by PHP_Jedi
    When a user is not logged in and tries to access an page that requires login, what is the correct HTTP status code for a redirect to the login page? I don't feel that any of the 3xx fit that description. 10.3.1 300 Multiple Choices The requested resource corresponds to any one of a set of representations, each with its own specific location, and agent- driven negotiation information (section 12) is being provided so that the user (or user agent) can select a preferred representation and redirect its request to that location. Unless it was a HEAD request, the response SHOULD include an entity containing a list of resource characteristics and location(s) from which the user or user agent can choose the one most appropriate. The entity format is specified by the media type given in the Content- Type header field. Depending upon the format and the capabilities of the user agent, selection of the most appropriate choice MAY be performed automatically. However, this specification does not define any standard for such automatic selection. If the server has a preferred choice of representation, it SHOULD include the specific URI for that representation in the Location field; user agents MAY use the Location field value for automatic redirection. This response is cacheable unless indicated otherwise. 10.3.2 301 Moved Permanently The requested resource has been assigned a new permanent URI and any future references to this resource SHOULD use one of the returned URIs. Clients with link editing capabilities ought to automatically re-link references to the Request-URI to one or more of the new references returned by the server, where possible. This response is cacheable unless indicated otherwise. The new permanent URI SHOULD be given by the Location field in the response. Unless the request method was HEAD, the entity of the response SHOULD contain a short hypertext note with a hyperlink to the new URI(s). If the 301 status code is received in response to a request other than GET or HEAD, the user agent MUST NOT automatically redirect the request unless it can be confirmed by the user, since this might change the conditions under which the request was issued. Note: When automatically redirecting a POST request after receiving a 301 status code, some existing HTTP/1.0 user agents will erroneously change it into a GET request. 10.3.3 302 Found The requested resource resides temporarily under a different URI. Since the redirection might be altered on occasion, the client SHOULD continue to use the Request-URI for future requests. This response is only cacheable if indicated by a Cache-Control or Expires header field. The temporary URI SHOULD be given by the Location field in the response. Unless the request method was HEAD, the entity of the response SHOULD contain a short hypertext note with a hyperlink to the new URI(s). If the 302 status code is received in response to a request other than GET or HEAD, the user agent MUST NOT automatically redirect the request unless it can be confirmed by the user, since this might change the conditions under which the request was issued. Note: RFC 1945 and RFC 2068 specify that the client is not allowed to change the method on the redirected request. However, most existing user agent implementations treat 302 as if it were a 303 response, performing a GET on the Location field-value regardless of the original request method. The status codes 303 and 307 have been added for servers that wish to make unambiguously clear which kind of reaction is expected of the client. 10.3.4 303 See Other The response to the request can be found under a different URI and SHOULD be retrieved using a GET method on that resource. This method exists primarily to allow the output of a POST-activated script to redirect the user agent to a selected resource. The new URI is not a substitute reference for the originally requested resource. The 303 response MUST NOT be cached, but the response to the second (redirected) request might be cacheable. The different URI SHOULD be given by the Location field in the response. Unless the request method was HEAD, the entity of the response SHOULD contain a short hypertext note with a hyperlink to the new URI(s). Note: Many pre-HTTP/1.1 user agents do not understand the 303 status. When interoperability with such clients is a concern, the 302 status code may be used instead, since most user agents react to a 302 response as described here for 303. 10.3.5 304 Not Modified If the client has performed a conditional GET request and access is allowed, but the document has not been modified, the server SHOULD respond with this status code. The 304 response MUST NOT contain a message-body, and thus is always terminated by the first empty line after the header fields. The response MUST include the following header fields: - Date, unless its omission is required by section 14.18.1 If a clockless origin server obeys these rules, and proxies and clients add their own Date to any response received without one (as already specified by [RFC 2068], section 14.19), caches will operate correctly. - ETag and/or Content-Location, if the header would have been sent in a 200 response to the same request - Expires, Cache-Control, and/or Vary, if the field-value might differ from that sent in any previous response for the same variant If the conditional GET used a strong cache validator (see section 13.3.3), the response SHOULD NOT include other entity-headers. Otherwise (i.e., the conditional GET used a weak validator), the response MUST NOT include other entity-headers; this prevents inconsistencies between cached entity-bodies and updated headers. If a 304 response indicates an entity not currently cached, then the cache MUST disregard the response and repeat the request without the conditional. If a cache uses a received 304 response to update a cache entry, the cache MUST update the entry to reflect any new field values given in the response. 10.3.6 305 Use Proxy The requested resource MUST be accessed through the proxy given by the Location field. The Location field gives the URI of the proxy. The recipient is expected to repeat this single request via the proxy. 305 responses MUST only be generated by origin servers. Note: RFC 2068 was not clear that 305 was intended to redirect a single request, and to be generated by origin servers only. Not observing these limitations has significant security consequences. 10.3.7 306 (Unused) The 306 status code was used in a previous version of the specification, is no longer used, and the code is reserved. 10.3.8 307 Temporary Redirect The requested resource resides temporarily under a different URI. Since the redirection MAY be altered on occasion, the client SHOULD continue to use the Request-URI for future requests. This response is only cacheable if indicated by a Cache-Control or Expires header field. The temporary URI SHOULD be given by the Location field in the response. Unless the request method was HEAD, the entity of the response SHOULD contain a short hypertext note with a hyperlink to the new URI(s) , since many pre-HTTP/1.1 user agents do not understand the 307 status. Therefore, the note SHOULD contain the information necessary for a user to repeat the original request on the new URI. If the 307 status code is received in response to a request other than GET or HEAD, the user agent MUST NOT automatically redirect the request unless it can be confirmed by the user, since this might change the conditions under which the request was issued. I'm using 302 for now, until I find THE correct answer.

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  • Grails, app-engine, jpa - beginner having trouble with grails generate-all

    - by John
    I'm trying to learn about grails with Google App Engine and JPA by following a few tutorials: http://www.morkeleb.com/2009/08/12/grails-and-google-appengine-beginners-guide/ http://inhouse32.appspot.com/index.html http://grails.org/plugin/app-engine I've got grails 1.3.0 RC 2, and App Engine SDK 1.3.3, and I'm using Windows 7. The steps that I try are: grails create-app appname cd appname grails install-plugin app-engine. I answer jpa when asked about jdo/jpa. It appears to install the gorm-jpa plugin automatically, although the tutorials all suggest installing gorm-jpa manually. grails install-plugin gorm-jpa (just in case) grails create-domain-class test.Person Edit the grails-app/domain/test/Person.groovy to add name and address fields: package test import javax.persistence.*; // import com.google.appengine.api.datastore.Key; @Entity class Person implements Serializable { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) Long id @Basic String name @Basic String address static constraints = { id visible:false } } grails generate-all test.Person I get errors during this final step: C:\Users\John\Workspaces\STS\appname>grails generate-all test.Person Welcome to Grails 1.3.0.RC2 - http://grails.org/ Licensed under Apache Standard License 2.0 Grails home is set to: C:\Users\John\Downloads\grails-1.3.0.RC2\grails-1.3.0.RC2 Base Directory: C:\Users\John\Workspaces\STS\appname Resolving dependencies... Dependencies resolved in 493ms. Running script C:\Users\John\Downloads\grails-1.3.0.RC2\grails-1.3.0.RC2\scripts\GenerateAll.groovy Environment set to development [copy] Copied 4 empty directories to 2 empty directories under C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [copy] Copied 4 empty directories to 2 empty directories under C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [copy] Copied 1 empty directory to 1 empty directory under C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes [groovyc] Compiling 12 source files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes Note: C:\Users\John\.grails\1.3.0.RC2\projects\appname\plugins\gorm-jpa-0.7.1\src\java\org\grails\jpa\domain\JpaGrailsDomainClass.java uses or overrides a deprecated API. Note: Recompile with -Xlint:deprecation for details. Note: Some input files use unchecked or unsafe operations. Note: Recompile with -Xlint:unchecked for details. [groovyc] Compiling 8 source files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes [mkdir] Created dir: C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\grails-app\i18n [native2ascii] Converting 13 files from C:\Users\John\Workspaces\STS\appname\grails-app\i18n to C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\grails-app\i18n [mkdir] Created dir: C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\plugins\gorm-jpa-0.7.1\grails-app\i18n [mkdir] Created dir: C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\plugins\app-engine-0.8.10\grails-app\i18n [native2ascii] Converting 1 file from C:\Users\John\.grails\1.3.0.RC2\projects\appname\plugins\gorm-jpa-0.7.1\grails-app\i18n to C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\plugins\gorm -jpa-0.7.1\grails-app\i18n [native2ascii] Converting 1 file from C:\Users\John\.grails\1.3.0.RC2\projects\appname\plugins\app-engine-0.8.10\grails-app\i18n to C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\plugins\a pp-engine-0.8.10\grails-app\i18n [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes [copy] Copying 2 files to C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [copy] Copied 2 empty directories to 2 empty directories under C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [copy] Copying 1 file to C:\Users\John\.grails\1.3.0.RC2\projects\appname [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\plugins\app-engine-0.8.10 [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\plugins\app-engine-0.8.10 [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\lib [copy] Copying 64 files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\lib Configuring persistence for AppEngine [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes\META-INF [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes\META-INF [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\plugins\app-engine-0.8.10 [copy] Copying 2 files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\plugins\app-engine-0.8.10 [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\plugins\gorm-jpa-0.7.1 [copy] Copying 2 files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\plugins\gorm-jpa-0.7.1 Packaging AppEngine jar files Enhancing JDO classes [enhance] DataNucleus Enhancer (version 1.1.4) : Enhancement of classes [enhance] DataNucleus Enhancer completed with success for 1 classes. Timings : input=589 ms, enhance=200 ms, total=789 ms. Consult the log for full details [groovyc] Compiling 1 source file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes [copy] Copying 1 file to C:\Users\John\.grails\1.3.0.RC2\projects\appname [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF Configuring persistence for AppEngine Packaging AppEngine jar files Enhancing JDO classes [enhance] DataNucleus Enhancer (version 1.1.4) : Enhancement of classes [enhance] DataNucleus Enhancer completed with success for 1 classes. Timings : input=585 ms, enhance=28 ms, total=613 ms. Consult the log for full details Generating views for domain class test.Person ... java.lang.reflect.InvocationTargetException at SimpleTemplateScript1.run(SimpleTemplateScript1.groovy:43) at _GrailsGenerate_groovy.generateForDomainClass(_GrailsGenerate_groovy:85) at _GrailsGenerate_groovy$_run_closure1.doCall(_GrailsGenerate_groovy:50) at GenerateAll$_run_closure1.doCall(GenerateAll.groovy:42) at gant.Gant$_dispatch_closure5.doCall(Gant.groovy:381) at gant.Gant$_dispatch_closure7.doCall(Gant.groovy:415) at gant.Gant$_dispatch_closure7.doCall(Gant.groovy) at gant.Gant.withBuildListeners(Gant.groovy:427) at gant.Gant.this$2$withBuildListeners(Gant.groovy) at gant.Gant$this$2$withBuildListeners.callCurrent(Unknown Source) at gant.Gant.dispatch(Gant.groovy:415) at gant.Gant.this$2$dispatch(Gant.groovy) at gant.Gant.invokeMethod(Gant.groovy) at gant.Gant.executeTargets(Gant.groovy:590) at gant.Gant.executeTargets(Gant.groovy:589) Caused by: java.lang.NoClassDefFoundError: org/hibernate/MappingException ... 15 more Caused by: java.lang.ClassNotFoundException: org.hibernate.MappingException at org.codehaus.groovy.tools.RootLoader.findClass(RootLoader.java:156) at java.lang.ClassLoader.loadClass(ClassLoader.java:307) at org.codehaus.groovy.tools.RootLoader.loadClass(RootLoader.java:128) at java.lang.ClassLoader.loadClass(ClassLoader.java:248) ... 15 more Error running generate-all: null What am I doing wrong?

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  • C# RegEx - find html tags (div and anchor)

    - by czesio
    Hi I have to retrieve several div section (of specific class name "row ") with it's content, and additionally find all anchor tags (link urls) (with class "underline red bold"). Shortly speaing : get section of: ... (divs, tags ...) and collections of urls string[] urls = {"/searchClickThru? pid=prod56534895&q=&rpos=109181&rpp=10&_dyncharset=UTF-8&sort=&url=/culture-and-gender-intimate-relation-ksiazka,prod56534895,p"} the entire page looks like that: <html> ... a lot of stuff <div class="row "> <div class="photo"> <a rel="nofollow" href="/searchClickThru?pid=prod56534895&amp;q=&amp;rpos=109181&amp;rpp=10&amp;_dyncharset=UTF-8&amp;sort=&amp;url=/culture-and-gender-intimate-relation-ksiazka,prod56534895,p"> <img alt="alt msg" src="/b/s/b9/03/b9038292d147a582add07ee1f0607827.jpg"> </a> </div> <div class="desc"> <div class="l1"> <div class="icons"> </div> <table cellspacing="0" cellpadding="0" border="0"> <tbody> <tr> <td> <div class="fleft"> <a class="underline red bold" href="/searchClickThru?pid=prod56534895&amp;q=&amp;rpos=109181&amp;rpp=10&amp;_dyncharset=UTF-8&amp;sort=&amp;url=/culture-and-gender-intimate-relation-ksiazka,prod56534895,p"> Culture And Gender <br>Intimate Relation</a> </div> <div class="fleft"> </div> </td> </tr> </tbody> </table> </div> <div class="l2"> <div> </div> <div> <div class="but"> </div> </div> </div> <div class="l3"> Long description <a class="underlinepix_red no_wrap" rel="nofollow" href="/searchClickThru?pid=prod56534895&amp;q=&amp;rpos=109181&amp;rpp=10&amp;_dyncharset=UTF-8&amp;sort=&amp;url=/culture-and-gender-intimate-relation-ksiazka,prod56534895,p"> more<img alt="" src="/b/img/arr_red_sm.gif"> </a> </div> </div> </div> <div class="omit"></div> <div class="row "> <div class="photo"> <a rel="nofollow" href="/searchClickThru?pid=prod56534895&amp;q=&amp;rpos=109181&amp;rpp=10&amp;_dyncharset=UTF-8&amp;sort=&amp;url=/culture-and-gender-intimate-relation-ksiazka,prod56534899,p"> <img alt="alt msg" src="/b/s/b9/03/b9038292d147a582add07ee1f06078222.jpg"> </a> </div> <div class="desc"> <div class="l1"> <div class="icons"> </div> <table cellspacing="0" cellpadding="0" border="0"> <tbody> <tr> <td> <div class="fleft"> <a class="underline red bold" href="/searchClickThru?pid=prod56534895&amp;q=&amp;rpos=109181&amp;rpp=10&amp;_dyncharset=UTF-8&amp;sort=&amp;url=/culture-and-gender-intimate-relation-ksiazka,prod5653489225,p"> Culture And Gender <br>Intimate Relation</a> </div> <div class="fleft"> </div> </td> </tr> </tbody> </table> </div> <div class="l2"> <div> </div> <div> <div class="but"> </div> </div> </div> <div class="l3"> Long description <a class="underlinepix_red no_wrap" rel="nofollow" href="/searchClickThru?pid=prod56534895&amp;q=&amp;rpos=109181&amp;rpp=10&amp;_dyncharset=UTF-8&amp;sort=&amp;url=/culture-and-gender-intimate-relation-ksiazka,prod56534895,p"> more<img alt="" src="/b/img/arr_red_sm.gif"> </a> </div> </div> </div> Can anybody help me to create suitable reg ex?

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  • Grails, app-engine, jpa - TargetInvocationException

    - by John
    I'm trying to learn about grails with Google App Engine and JPA by following a few tutorials: http://www.morkeleb.com/2009/08/12/grails-and-google-appengine-beginners-guide/ http://inhouse32.appspot.com/index.html http://grails.org/plugin/app-engine I've got grails 1.3.0 RC 2, and App Engine SDK 1.3.3, and I'm using Windows 7. The steps that I try are: grails create-app appname cd appname grails install-plugin app-engine. I answer jpa when asked about jdo/jpa. It appears to install the gorm-jpa plugin automatically, although the tutorials all suggest installing gorm-jpa manually. grails install-plugin gorm-jpa (just in case) grails create-domain-class test.Person Edit the grails-app/domain/test/Person.groovy to add name and address fields: package test import javax.persistence.*; // import com.google.appengine.api.datastore.Key; @Entity class Person implements Serializable { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) Long id @Basic String name @Basic String address static constraints = { id visible:false } } grails generate-all test.Person I get errors during this final step: C:\Users\John\Workspaces\STS\appname>grails generate-all test.Person Welcome to Grails 1.3.0.RC2 - http://grails.org/ Licensed under Apache Standard License 2.0 Grails home is set to: C:\Users\John\Downloads\grails-1.3.0.RC2\grails-1.3.0.RC2 Base Directory: C:\Users\John\Workspaces\STS\appname Resolving dependencies... Dependencies resolved in 493ms. Running script C:\Users\John\Downloads\grails-1.3.0.RC2\grails-1.3.0.RC2\scripts\GenerateAll.groovy Environment set to development [copy] Copied 4 empty directories to 2 empty directories under C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [copy] Copied 4 empty directories to 2 empty directories under C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [copy] Copied 1 empty directory to 1 empty directory under C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes [groovyc] Compiling 12 source files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes Note: C:\Users\John\.grails\1.3.0.RC2\projects\appname\plugins\gorm-jpa-0.7.1\src\java\org\grails\jpa\domain\JpaGrailsDomainClass.java uses or overrides a deprecated API. Note: Recompile with -Xlint:deprecation for details. Note: Some input files use unchecked or unsafe operations. Note: Recompile with -Xlint:unchecked for details. [groovyc] Compiling 8 source files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes [mkdir] Created dir: C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\grails-app\i18n [native2ascii] Converting 13 files from C:\Users\John\Workspaces\STS\appname\grails-app\i18n to C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\grails-app\i18n [mkdir] Created dir: C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\plugins\gorm-jpa-0.7.1\grails-app\i18n [mkdir] Created dir: C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\plugins\app-engine-0.8.10\grails-app\i18n [native2ascii] Converting 1 file from C:\Users\John\.grails\1.3.0.RC2\projects\appname\plugins\gorm-jpa-0.7.1\grails-app\i18n to C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\plugins\gorm -jpa-0.7.1\grails-app\i18n [native2ascii] Converting 1 file from C:\Users\John\.grails\1.3.0.RC2\projects\appname\plugins\app-engine-0.8.10\grails-app\i18n to C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources\plugins\a pp-engine-0.8.10\grails-app\i18n [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes [copy] Copying 2 files to C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [copy] Copied 2 empty directories to 2 empty directories under C:\Users\John\.grails\1.3.0.RC2\projects\appname\resources [copy] Copying 1 file to C:\Users\John\.grails\1.3.0.RC2\projects\appname [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\plugins\app-engine-0.8.10 [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\plugins\app-engine-0.8.10 [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\lib [copy] Copying 64 files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\lib Configuring persistence for AppEngine [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes\META-INF [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes\META-INF [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\plugins\app-engine-0.8.10 [copy] Copying 2 files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\plugins\app-engine-0.8.10 [mkdir] Created dir: C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\plugins\gorm-jpa-0.7.1 [copy] Copying 2 files to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\plugins\gorm-jpa-0.7.1 Packaging AppEngine jar files Enhancing JDO classes [enhance] DataNucleus Enhancer (version 1.1.4) : Enhancement of classes [enhance] DataNucleus Enhancer completed with success for 1 classes. Timings : input=589 ms, enhance=200 ms, total=789 ms. Consult the log for full details [groovyc] Compiling 1 source file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF\classes [copy] Copying 1 file to C:\Users\John\.grails\1.3.0.RC2\projects\appname [copy] Copying 1 file to C:\Users\John\Workspaces\STS\appname\web-app\WEB-INF Configuring persistence for AppEngine Packaging AppEngine jar files Enhancing JDO classes [enhance] DataNucleus Enhancer (version 1.1.4) : Enhancement of classes [enhance] DataNucleus Enhancer completed with success for 1 classes. Timings : input=585 ms, enhance=28 ms, total=613 ms. Consult the log for full details Generating views for domain class test.Person ... java.lang.reflect.InvocationTargetException at SimpleTemplateScript1.run(SimpleTemplateScript1.groovy:43) at _GrailsGenerate_groovy.generateForDomainClass(_GrailsGenerate_groovy:85) at _GrailsGenerate_groovy$_run_closure1.doCall(_GrailsGenerate_groovy:50) at GenerateAll$_run_closure1.doCall(GenerateAll.groovy:42) at gant.Gant$_dispatch_closure5.doCall(Gant.groovy:381) at gant.Gant$_dispatch_closure7.doCall(Gant.groovy:415) at gant.Gant$_dispatch_closure7.doCall(Gant.groovy) at gant.Gant.withBuildListeners(Gant.groovy:427) at gant.Gant.this$2$withBuildListeners(Gant.groovy) at gant.Gant$this$2$withBuildListeners.callCurrent(Unknown Source) at gant.Gant.dispatch(Gant.groovy:415) at gant.Gant.this$2$dispatch(Gant.groovy) at gant.Gant.invokeMethod(Gant.groovy) at gant.Gant.executeTargets(Gant.groovy:590) at gant.Gant.executeTargets(Gant.groovy:589) Caused by: java.lang.NoClassDefFoundError: org/hibernate/MappingException ... 15 more Caused by: java.lang.ClassNotFoundException: org.hibernate.MappingException at org.codehaus.groovy.tools.RootLoader.findClass(RootLoader.java:156) at java.lang.ClassLoader.loadClass(ClassLoader.java:307) at org.codehaus.groovy.tools.RootLoader.loadClass(RootLoader.java:128) at java.lang.ClassLoader.loadClass(ClassLoader.java:248) ... 15 more Error running generate-all: null What am I doing wrong?

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  • XAML Parsing Exception

    - by e28Makaveli
    I have a simple XAML page that load fine when it is loaded as part of any application within Visual Studio. However, when I deploy this application using ClickOnce, I get the following exception: Type : System.Windows.Markup.XamlParseException, PresentationFramework, Version=3.0.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35 Message : Unable to cast object of type 'System.Windows.Controls.Grid' to type 'EMS.Controls.Dictionary.StatusBarControl'. Error at object 'System.Windows.Controls.Grid' in markup file 'EMS.Controls.Dictionary;component/views/statusbarcontrol.xaml'. Source : PresentationFramework Help link : LineNumber : 0 LinePosition : 0 KeyContext : UidContext : NameContext : BaseUri : pack://application:,,,/EMS.Controls.Dictionary;component/views/statusbarcontrol.xaml Data : System.Collections.ListDictionaryInternal TargetSite : Void ThrowException(System.String, System.Exception, Int32, Int32, System.Uri, System.Windows.Markup.XamlObjectIds, System.Windows.Markup.XamlObjectIds, System.Type) Stack Trace : at System.Windows.Markup.XamlParseException.ThrowException(String message, Exception innerException, Int32 lineNumber, Int32 linePosition, Uri baseUri, XamlObjectIds currentXamlObjectIds, XamlObjectIds contextXamlObjectIds, Type objectType) at System.Windows.Markup.XamlParseException.ThrowException(ParserContext parserContext, Int32 lineNumber, Int32 linePosition, String message, Exception innerException) at System.Windows.Markup.BamlRecordReader.ReadRecord(BamlRecord bamlRecord) at System.Windows.Markup.BamlRecordReader.Read(Boolean singleRecord) at System.Windows.Markup.TreeBuilderBamlTranslator.ParseFragment() at System.Windows.Markup.TreeBuilder.Parse() at System.Windows.Markup.XamlReader.LoadBaml(Stream stream, ParserContext parserContext, Object parent, Boolean closeStream) at System.Windows.Application.LoadComponent(Object component, Uri resourceLocator) at EMS.Controls.Dictionary.StatusBarControl.InitializeComponent() at EMS.Controls.Dictionary.StatusBarControl..ctor(IDataView content) at OCC600.ReportManager.ReportPresenter.ShowQueryView(Object arg, Boolean bringForward, Type selectedDataType) at OCC600.ReportManager.ReportPresenter..ctor(IUnityContainer container) at OCC600.ReportManager.Module.Initialize() at Microsoft.Practices.Composite.Modularity.ModuleLoader.Initialize(ModuleInfo[] moduleInfos) Inner Exception --------------- Type : System.InvalidCastException, mscorlib, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089 Message : Unable to cast object of type 'System.Windows.Controls.Grid' to type 'EMS.Controls.Dictionary.StatusBarControl'. Source : EMS.Controls.Dictionary Help link : Data : System.Collections.ListDictionaryInternal TargetSite : Void System.Windows.Markup.IComponentConnector.Connect(Int32, System.Object) Stack Trace : at EMS.Controls.Dictionary.StatusBarControl.System.Windows.Markup.IComponentConnector.Connect(Int32 connectionId, Object target) at System.Windows.Markup.BamlRecordReader.ReadConnectionId(BamlConnectionIdRecord bamlConnectionIdRecord) at System.Windows.Markup.BamlRecordReader.ReadRecord(BamlRecord bamlRecord) The XAML page is given below: xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" xmlns:cdic="clr-namespace:EMS.Controls.Dictionary.Primitives" xmlns:dicutil="clr-namespace:OCC600.Infrastructure.Dictionary.Utility;assembly=EMS.Infrastructure.Dictionary" Loaded="ResultSetControl_Loaded" <StatusBarItem Margin="10,0, 10, 0"> <TextBlock Text="{Binding CountText}" Padding="5,0"/> </StatusBarItem> <StatusBarItem Margin="10,0"> <TextBlock Text="{Binding MemoryUsageText}" Padding="5,0"/> </StatusBarItem> <StatusBarItem Margin="10,0" MaxWidth="400"> <TextBlock Text="{Binding StatusReport.Summary}" Padding="5,0" /> </StatusBarItem> <ProgressBar Margin="20,0" Name="progBar" Width="150" Height="13" Visibility="Collapsed" > <ProgressBar.ContextMenu> <ContextMenu Name="ctxMenu" ItemsSource="{Binding ActiveWorkItems}" Visibility="{Binding Path=ActiveWorkItems.HasItems, Converter={StaticResource BooToVisConv}}"> <ContextMenu.ItemContainerStyle> <Style TargetType="{x:Type MenuItem}"> <Setter Property="Template"> <Setter.Value> <ControlTemplate TargetType="{x:Type MenuItem}"> <StackPanel Height="20" Margin="10,0" Orientation="Horizontal" HorizontalAlignment="Left"> <TextBlock Text="{Binding Path=Name, Mode=OneTime}" Foreground="Black" VerticalAlignment="Center" HorizontalAlignment="Left" /> <ToggleButton Style="{StaticResource vistaGoldenToggleButtonStyle}" Padding="5,0" Content="Cancel" IsChecked="{Binding Cancel}" Margin="10,0,0,0" > </ToggleButton> </StackPanel> </ControlTemplate> </Setter.Value> </Setter> </Style> </ContextMenu.ItemContainerStyle> </ContextMenu> </ProgressBar.ContextMenu> </ProgressBar> <StatusBarItem Margin="10,0" MaxWidth="400" HorizontalAlignment="Right"> <StackPanel Orientation="Horizontal"> <TextBlock Text="Last Update:" Padding="5,0" /> <TextBlock Text="{Binding TimeStamp}" Padding="5,0" /> </StackPanel> </StatusBarItem> <!-- TODO: Put checkmark if all is well, or error if connection failed--> <StatusBarItem Style="{DynamicResource {ComponentResourceKey TypeInTargetAssembly=dc:Ribbon, ResourceId=StatusBarItemAlt}}" DockPanel.Dock="Right" Padding="6,0,32,0" > <cdic:SplitButton Margin="5,0" Padding="5,2" Style="{DynamicResource {ComponentResourceKey TypeInTargetAssembly={x:Type cdic:SplitButtonResources}, ResourceId=vistaSplitButtonStyle}}" Mode="Split"> <cdic:SplitButton.ContextMenu> <ContextMenu > <MenuItem Header="Refresh Now" Command="{Binding ToggleConnectivityCmd}" CommandParameter="false"/> <MenuItem IsCheckable="True" IsChecked="{Binding ConnectState, Converter={StaticResource isFailedConverter}}" CommandParameter="{Binding RelativeSource={x:Static RelativeSource.Self}, Path=IsChecked}" Header="Work Offline" Command="{Binding ToggleConnectivityCmd}"/> </ContextMenu> </cdic:SplitButton.ContextMenu> <cdic:SplitButton.Content> <StackPanel Orientation="Horizontal"> <Image x:Name="img" Source="{Binding ConnectState, Converter={StaticResource imageConverter}}" Width="16" Height="16" HorizontalAlignment="Center" VerticalAlignment="Center"/> <TextBlock Text="{Binding ConnectState}" Padding="3,0,0,0"/> </StackPanel> </cdic:SplitButton.Content> </cdic:SplitButton> </StatusBarItem> </StatusBar> </Grid> The error just seems to have come out of no where. Any ideas? TIA.

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  • how do we access values stored in NSMutableArray of NSMutableDictionary ?

    - by srikanth rongali
    I have stored values in NsMutableDictionaries . ThenI stored all the dictionaries in NSMutable Array. I need to access the values ? How can I do that ? -(void)viewDidLoad { [super viewDidLoad]; self.title = @"Library"; self.navigationItem.rightBarButtonItem = [[UIBarButtonItem alloc] initWithTitle:@"Close" style:UIBarButtonItemStyleBordered target:self action:@selector(close:)]; cells = [[NSMutableArray alloc] initWithObjects:@"dict1", @"dict2", @"dict3", @"dict4", @"dict5", @"dict6", nil]; dict1 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Mon, 01 Feb #2", @"date", @"0.7", @"time", @"1.2MB", @"size", @"200*200", @"pix", nil]; dict2 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Wed, 02 Mar #3", @"date", @"1.2", @"time", @"2.2MB", @"size", @"300*300", @"pix", nil]; dict3 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Tue, 03 Apr #5", @"date", @"1.7", @"time", @"2.5MB", @"size", @"240*240", @"pix", nil]; dict4 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Mon, 01 Feb #2", @"date", @"0.7", @"time", @"1.2MB", @"size", @"200*200", @"pix", nil]; dict5 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Mon, 10 Nov #5", @"date", @"2.7", @"time", @"4.2MB", @"size", @"200*400", @"pix", nil]; dict6 = [[NSMutableDictionary alloc] initWithObjectsAndKeys:@"Mon, 11 Dec #6", @"date", @"4.7", @"time", @"2.2MB", @"size", @"500*200", @"pix", nil]; //[cells addObject:dict1]; //[cells addObject:dict2]; //[cells addObject:dict3]; //[cells addObject:dict4]; //[cells addObject:dict5]; //[cells addObject:dict6]; } // Customize the number of rows in the table view. - (NSInteger)tableView:(UITableView *)tableView numberOfRowsInSection:(NSInteger)section { return [cells count]; } // Customize the appearance of table view cells. - (UITableViewCell *)tableView:(UITableView *)tableView cellForRowAtIndexPath:(NSIndexPath *)indexPath { static NSString *CellIdentifier = @"Cell"; UITableViewCell *cell = [tableView dequeueReusableCellWithIdentifier:CellIdentifier]; if (cell == nil) { cell = [[[UITableViewCell alloc] initWithFrame:CGRectZero reuseIdentifier:CellIdentifier] autorelease]; //cell.contentView.frame = CGRectMake(0.0f, 0.0f, 320.0f, 80.0f); [cell setAccessoryType:UITableViewCellAccessoryDisclosureIndicator]; UIImageView *image1 = [[UIImageView alloc]init]; image1.frame = CGRectMake(0.0f, 0.0f, 80.0f, 80.0f); image1.tag = tag7; UILabel *dateLabel = [[UILabel alloc]init]; dateLabel.frame = CGRectMake(100.0f, 5.0f, 120.0f, 25.0f); dateLabel.font = [UIFont fontWithName:@"Georgia" size:10]; dateLabel.tag = tag1; UILabel *timeLabel = [[UILabel alloc] init]; timeLabel.frame = CGRectMake(100.0f, 30.0f, 40.0f, 25.0f); timeLabel.font = [UIFont fontWithName:@"Georgia" size:10]; timeLabel.tag = tag2; UILabel *sizeLabel = [[UILabel alloc] init]; sizeLabel.frame = CGRectMake(160.0f, 30.0f, 40.0f, 25.0f); sizeLabel.font = [UIFont fontWithName:@"Georgia" size:10]; sizeLabel.tag = tag3; UILabel *pixLabel = [[UILabel alloc] init]; pixLabel.frame = CGRectMake(220.0f, 30.0f, 40.0f, 25.0f); pixLabel.font = [UIFont fontWithName:@"Georgia" size:10]; pixLabel.tag = tag4; UILabel *shareLabel = [[UILabel alloc] init]; shareLabel.frame = CGRectMake(100.0f, 55.0f, 100.0f, 25.0f); shareLabel.font = [UIFont fontWithName:@"Georgia" size:10]; shareLabel.tag = tag5; UILabel *deleteLabel = [[UILabel alloc] init]; deleteLabel.frame = CGRectMake(220.0f, 55.0f, 100.0f, 25.0f); deleteLabel.font = [UIFont fontWithName:@"Georgia" size:10]; deleteLabel.tag = tag6; [cell.contentView addSubview:dateLabel]; [cell.contentView addSubview:timeLabel]; [cell.contentView addSubview:sizeLabel]; [cell.contentView addSubview:pixLabel]; [cell.contentView addSubview:shareLabel]; [cell.contentView addSubview:deleteLabel]; [cell.contentView addSubview:image1]; [dateLabel release]; [timeLabel release]; [sizeLabel release]; [pixLabel release]; [shareLabel release]; [deleteLabel release]; [image1 release]; } // Set up the cell... [(UILabel *)[cell viewWithTag:tag1] setText:[cells objectAtIndex:[dict1 objectForKey: @"date"]]]; [(UILabel *)[cell viewWithTag:tag2] setText:[cells objectAtIndex:[dict1 objectForKey: @"time"]]]; [(UILabel *)[cell viewWithTag:tag3] setText:[cells objectAtIndex:[dict1 objectForKey: @"size"]]]; [(UILabel *)[cell viewWithTag:tag4] setText:[cells objectAtIndex:[dict1 objectForKey: @"pix"]]]; [(UILabel *)[cell viewWithTag:tag5] setText:@"Share"]; [(UILabel *)[cell viewWithTag:tag6] setText:@"Delete"]; cell.imageView.image = [UIImage imageNamed:@"image2.png"]; return cell; } - (CGFloat)tableView:(UITableView *)tableView heightForRowAtIndexPath:(NSIndexPath *)indexPath { return 80.0f; } I did in above way but it is not working. I know the mistake is at the accessing values. but, I could not get how to do it ? Thank You.

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  • MySQL is running VERY slow

    - by user1032531
    I have two servers: a VPS and a laptop. I recently re-built both of them, and MySQL is running about 20 times slower on the laptop. Both servers used to run CentOS 5.8 and I think MySQL 5.1, and the laptop used to do great so I do not think it is the hardware. For the VPS, my provider installed CentOS 6.4, and then I installed MySQL 5.1.69 using yum with the CentOS repo. For the laptop, I installed CentOS 6.4 basic server and then installed MySQL 5.1.69 using yum with the CentOS repo. my.cnf for both servers are identical, and I have shown below. For both servers, I've also included below the output from SHOW VARIABLES; as well as output from sysbench, file system information, and cpu information. I have tried adding skip-name-resolve, but it didn't help. The matrix below shows the SHOW VARIABLES output from both servers which is different. Again, MySQL was installed the same way, so I do not know why it is different, but it is and I think this might be why the laptop is executing MySQL so slowly. Why is the laptop running MySQL slowly, and how do I fix it? Differences between SHOW VARIABLES on both servers +---------------------------+-----------------------+-------------------------+ | Variable | Value-VPS | Value-Laptop | +---------------------------+-----------------------+-------------------------+ | hostname | vps.site1.com | laptop.site2.com | | max_binlog_cache_size | 4294963200 | 18446744073709500000 | | max_seeks_for_key | 4294967295 | 18446744073709500000 | | max_write_lock_count | 4294967295 | 18446744073709500000 | | myisam_max_sort_file_size | 2146435072 | 9223372036853720000 | | myisam_mmap_size | 4294967295 | 18446744073709500000 | | plugin_dir | /usr/lib/mysql/plugin | /usr/lib64/mysql/plugin | | pseudo_thread_id | 7568 | 2 | | system_time_zone | EST | PDT | | thread_stack | 196608 | 262144 | | timestamp | 1372252112 | 1372252046 | | version_compile_machine | i386 | x86_64 | +---------------------------+-----------------------+-------------------------+ my.cnf for both servers [root@server1 ~]# cat /etc/my.cnf [mysqld] datadir=/var/lib/mysql socket=/var/lib/mysql/mysql.sock user=mysql # Disabling symbolic-links is recommended to prevent assorted security risks symbolic-links=0 [mysqld_safe] log-error=/var/log/mysqld.log pid-file=/var/run/mysqld/mysqld.pid innodb_strict_mode=on sql_mode=TRADITIONAL # sql_mode=STRICT_TRANS_TABLES,NO_ZERO_DATE,NO_ZERO_IN_DATE character-set-server=utf8 collation-server=utf8_general_ci log=/var/log/mysqld_all.log [root@server1 ~]# VPS SHOW VARIABLES Info Same as Laptop shown below but changes per above matrix (removed to allow me to be under the 30000 characters as required by ServerFault) Laptop SHOW VARIABLES Info auto_increment_increment 1 auto_increment_offset 1 autocommit ON automatic_sp_privileges ON back_log 50 basedir /usr/ big_tables OFF binlog_cache_size 32768 binlog_direct_non_transactional_updates OFF binlog_format STATEMENT bulk_insert_buffer_size 8388608 character_set_client utf8 character_set_connection utf8 character_set_database latin1 character_set_filesystem binary character_set_results utf8 character_set_server latin1 character_set_system utf8 character_sets_dir /usr/share/mysql/charsets/ collation_connection utf8_general_ci collation_database latin1_swedish_ci collation_server latin1_swedish_ci completion_type 0 concurrent_insert 1 connect_timeout 10 datadir /var/lib/mysql/ date_format %Y-%m-%d datetime_format %Y-%m-%d %H:%i:%s default_week_format 0 delay_key_write ON delayed_insert_limit 100 delayed_insert_timeout 300 delayed_queue_size 1000 div_precision_increment 4 engine_condition_pushdown ON error_count 0 event_scheduler OFF expire_logs_days 0 flush OFF flush_time 0 foreign_key_checks ON ft_boolean_syntax + -><()~*:""&| ft_max_word_len 84 ft_min_word_len 4 ft_query_expansion_limit 20 ft_stopword_file (built-in) general_log OFF general_log_file /var/run/mysqld/mysqld.log group_concat_max_len 1024 have_community_features YES have_compress YES have_crypt YES have_csv YES have_dynamic_loading YES have_geometry YES have_innodb YES have_ndbcluster NO have_openssl DISABLED have_partitioning YES have_query_cache YES have_rtree_keys YES have_ssl DISABLED have_symlink DISABLED hostname server1.site2.com identity 0 ignore_builtin_innodb OFF init_connect init_file init_slave innodb_adaptive_hash_index ON innodb_additional_mem_pool_size 1048576 innodb_autoextend_increment 8 innodb_autoinc_lock_mode 1 innodb_buffer_pool_size 8388608 innodb_checksums ON innodb_commit_concurrency 0 innodb_concurrency_tickets 500 innodb_data_file_path ibdata1:10M:autoextend innodb_data_home_dir innodb_doublewrite ON innodb_fast_shutdown 1 innodb_file_io_threads 4 innodb_file_per_table OFF innodb_flush_log_at_trx_commit 1 innodb_flush_method innodb_force_recovery 0 innodb_lock_wait_timeout 50 innodb_locks_unsafe_for_binlog OFF innodb_log_buffer_size 1048576 innodb_log_file_size 5242880 innodb_log_files_in_group 2 innodb_log_group_home_dir ./ innodb_max_dirty_pages_pct 90 innodb_max_purge_lag 0 innodb_mirrored_log_groups 1 innodb_open_files 300 innodb_rollback_on_timeout OFF innodb_stats_method nulls_equal innodb_stats_on_metadata ON innodb_support_xa ON innodb_sync_spin_loops 20 innodb_table_locks ON innodb_thread_concurrency 8 innodb_thread_sleep_delay 10000 innodb_use_legacy_cardinality_algorithm ON insert_id 0 interactive_timeout 28800 join_buffer_size 131072 keep_files_on_create OFF key_buffer_size 8384512 key_cache_age_threshold 300 key_cache_block_size 1024 key_cache_division_limit 100 language /usr/share/mysql/english/ large_files_support ON large_page_size 0 large_pages OFF last_insert_id 0 lc_time_names en_US license GPL local_infile ON locked_in_memory OFF log OFF log_bin OFF log_bin_trust_function_creators OFF log_bin_trust_routine_creators OFF log_error /var/log/mysqld.log log_output FILE log_queries_not_using_indexes OFF log_slave_updates OFF log_slow_queries OFF log_warnings 1 long_query_time 10.000000 low_priority_updates OFF lower_case_file_system OFF lower_case_table_names 0 max_allowed_packet 1048576 max_binlog_cache_size 18446744073709547520 max_binlog_size 1073741824 max_connect_errors 10 max_connections 151 max_delayed_threads 20 max_error_count 64 max_heap_table_size 16777216 max_insert_delayed_threads 20 max_join_size 18446744073709551615 max_length_for_sort_data 1024 max_long_data_size 1048576 max_prepared_stmt_count 16382 max_relay_log_size 0 max_seeks_for_key 18446744073709551615 max_sort_length 1024 max_sp_recursion_depth 0 max_tmp_tables 32 max_user_connections 0 max_write_lock_count 18446744073709551615 min_examined_row_limit 0 multi_range_count 256 myisam_data_pointer_size 6 myisam_max_sort_file_size 9223372036853727232 myisam_mmap_size 18446744073709551615 myisam_recover_options OFF myisam_repair_threads 1 myisam_sort_buffer_size 8388608 myisam_stats_method nulls_unequal myisam_use_mmap OFF net_buffer_length 16384 net_read_timeout 30 net_retry_count 10 net_write_timeout 60 new OFF old OFF old_alter_table OFF old_passwords OFF open_files_limit 1024 optimizer_prune_level 1 optimizer_search_depth 62 optimizer_switch index_merge=on,index_merge_union=on,index_merge_sort_union=on,index_merge_intersection=on pid_file /var/run/mysqld/mysqld.pid plugin_dir /usr/lib64/mysql/plugin port 3306 preload_buffer_size 32768 profiling OFF profiling_history_size 15 protocol_version 10 pseudo_thread_id 3 query_alloc_block_size 8192 query_cache_limit 1048576 query_cache_min_res_unit 4096 query_cache_size 0 query_cache_type ON query_cache_wlock_invalidate OFF query_prealloc_size 8192 rand_seed1 rand_seed2 range_alloc_block_size 4096 read_buffer_size 131072 read_only OFF read_rnd_buffer_size 262144 relay_log relay_log_index relay_log_info_file relay-log.info relay_log_purge ON relay_log_space_limit 0 report_host report_password report_port 3306 report_user rpl_recovery_rank 0 secure_auth OFF secure_file_priv server_id 0 skip_external_locking ON skip_name_resolve OFF skip_networking OFF skip_show_database OFF slave_compressed_protocol OFF slave_exec_mode STRICT slave_load_tmpdir /tmp slave_max_allowed_packet 1073741824 slave_net_timeout 3600 slave_skip_errors OFF slave_transaction_retries 10 slow_launch_time 2 slow_query_log OFF slow_query_log_file /var/run/mysqld/mysqld-slow.log socket /var/lib/mysql/mysql.sock sort_buffer_size 2097144 sql_auto_is_null ON sql_big_selects ON sql_big_tables OFF sql_buffer_result OFF sql_log_bin ON sql_log_off OFF sql_log_update ON sql_low_priority_updates OFF sql_max_join_size 18446744073709551615 sql_mode sql_notes ON sql_quote_show_create ON sql_safe_updates OFF sql_select_limit 18446744073709551615 sql_slave_skip_counter sql_warnings OFF ssl_ca ssl_capath ssl_cert ssl_cipher ssl_key storage_engine MyISAM sync_binlog 0 sync_frm ON system_time_zone PDT table_definition_cache 256 table_lock_wait_timeout 50 table_open_cache 64 table_type MyISAM thread_cache_size 0 thread_handling one-thread-per-connection thread_stack 262144 time_format %H:%i:%s time_zone SYSTEM timed_mutexes OFF timestamp 1372254399 tmp_table_size 16777216 tmpdir /tmp transaction_alloc_block_size 8192 transaction_prealloc_size 4096 tx_isolation REPEATABLE-READ unique_checks ON updatable_views_with_limit YES version 5.1.69 version_comment Source distribution version_compile_machine x86_64 version_compile_os redhat-linux-gnu wait_timeout 28800 warning_count 0 VPS Sysbench Info [root@vps ~]# cat sysbench.txt sysbench 0.4.12: multi-threaded system evaluation benchmark Running the test with following options: Number of threads: 8 Doing OLTP test. Running mixed OLTP test Doing read-only test Using Special distribution (12 iterations, 1 pct of values are returned in 75 pct cases) Using "BEGIN" for starting transactions Using auto_inc on the id column Threads started! Time limit exceeded, exiting... (last message repeated 7 times) Done. OLTP test statistics: queries performed: read: 1449966 write: 0 other: 207138 total: 1657104 transactions: 103569 (1726.01 per sec.) deadlocks: 0 (0.00 per sec.) read/write requests: 1449966 (24164.08 per sec.) other operations: 207138 (3452.01 per sec.) Test execution summary: total time: 60.0050s total number of events: 103569 total time taken by event execution: 479.1544 per-request statistics: min: 1.98ms avg: 4.63ms max: 330.73ms approx. 95 percentile: 8.26ms Threads fairness: events (avg/stddev): 12946.1250/381.09 execution time (avg/stddev): 59.8943/0.00 [root@vps ~]# Laptop Sysbench Info [root@server1 ~]# cat sysbench.txt sysbench 0.4.12: multi-threaded system evaluation benchmark Running the test with following options: Number of threads: 8 Doing OLTP test. Running mixed OLTP test Doing read-only test Using Special distribution (12 iterations, 1 pct of values are returned in 75 pct cases) Using "BEGIN" for starting transactions Using auto_inc on the id column Threads started! Time limit exceeded, exiting... (last message repeated 7 times) Done. OLTP test statistics: queries performed: read: 634718 write: 0 other: 90674 total: 725392 transactions: 45337 (755.56 per sec.) deadlocks: 0 (0.00 per sec.) read/write requests: 634718 (10577.78 per sec.) other operations: 90674 (1511.11 per sec.) Test execution summary: total time: 60.0048s total number of events: 45337 total time taken by event execution: 479.4912 per-request statistics: min: 2.04ms avg: 10.58ms max: 85.56ms approx. 95 percentile: 19.70ms Threads fairness: events (avg/stddev): 5667.1250/42.18 execution time (avg/stddev): 59.9364/0.00 [root@server1 ~]# VPS File Info [root@vps ~]# df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/simfs simfs 20971520 16187440 4784080 78% / none tmpfs 6224432 4 6224428 1% /dev none tmpfs 6224432 0 6224432 0% /dev/shm [root@vps ~]# Laptop File Info [root@server1 ~]# df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/mapper/vg_server1-lv_root ext4 72383800 4243964 64462860 7% / tmpfs tmpfs 956352 0 956352 0% /dev/shm /dev/sdb1 ext4 495844 60948 409296 13% /boot [root@server1 ~]# VPS CPU Info Removed to stay under the 30000 character limit required by ServerFault Laptop CPU Info [root@server1 ~]# cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 Duo CPU T7100 @ 1.80GHz stepping : 13 cpu MHz : 800.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 0 cpu cores : 2 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 3591.39 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: processor : 1 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 Duo CPU T7100 @ 1.80GHz stepping : 13 cpu MHz : 800.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 1 cpu cores : 2 apicid : 1 initial apicid : 1 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 3591.39 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: [root@server1 ~]# EDIT New Info requested by shakalandy [root@localhost ~]# cat /proc/meminfo MemTotal: 2044804 kB MemFree: 761464 kB Buffers: 68868 kB Cached: 369708 kB SwapCached: 0 kB Active: 881080 kB Inactive: 246016 kB Active(anon): 688312 kB Inactive(anon): 4416 kB Active(file): 192768 kB Inactive(file): 241600 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 4095992 kB SwapFree: 4095992 kB Dirty: 0 kB Writeback: 0 kB AnonPages: 688428 kB Mapped: 65156 kB Shmem: 4216 kB Slab: 92428 kB SReclaimable: 31260 kB SUnreclaim: 61168 kB KernelStack: 2392 kB PageTables: 28356 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 5118392 kB Committed_AS: 1530212 kB VmallocTotal: 34359738367 kB VmallocUsed: 343604 kB VmallocChunk: 34359372920 kB HardwareCorrupted: 0 kB AnonHugePages: 520192 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 8556 kB DirectMap2M: 2078720 kB [root@localhost ~]# ps aux | grep mysql root 2227 0.0 0.0 108332 1504 ? S 07:36 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/localhost.badobe.com.pid mysql 2319 0.1 24.5 1470068 501360 ? Sl 07:36 0:57 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib64/mysql/plugin --user=mysql --log-error=/var/lib/mysql/localhost.badobe.com.err --pid-file=/var/lib/mysql/localhost.badobe.com.pid root 3579 0.0 0.1 201840 3028 pts/0 S+ 07:40 0:00 mysql -u root -p root 13887 0.0 0.1 201840 3036 pts/3 S+ 18:08 0:00 mysql -uroot -px xxxxxxxxxx root 14449 0.0 0.0 103248 840 pts/2 S+ 18:16 0:00 grep mysql [root@localhost ~]# ps aux | grep mysql root 2227 0.0 0.0 108332 1504 ? S 07:36 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/localhost.badobe.com.pid mysql 2319 0.1 24.5 1470068 501356 ? Sl 07:36 0:57 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib64/mysql/plugin --user=mysql --log-error=/var/lib/mysql/localhost.badobe.com.err --pid-file=/var/lib/mysql/localhost.badobe.com.pid root 3579 0.0 0.1 201840 3028 pts/0 S+ 07:40 0:00 mysql -u root -p root 13887 0.0 0.1 201840 3048 pts/3 S+ 18:08 0:00 mysql -uroot -px xxxxxxxxxx root 14470 0.0 0.0 103248 840 pts/2 S+ 18:16 0:00 grep mysql [root@localhost ~]# vmstat 1 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu----- r b swpd free buff cache si so bi bo in cs us sy id wa st 0 0 0 742172 76376 371064 0 0 6 6 78 202 2 1 97 1 0 0 0 0 742164 76380 371060 0 0 0 16 191 467 2 1 93 5 0 0 0 0 742164 76380 371064 0 0 0 0 148 388 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 159 418 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 145 380 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 166 429 2 1 97 0 0 1 0 0 742164 76380 371064 0 0 0 0 148 373 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 149 382 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 168 408 2 0 97 0 0 0 0 0 742164 76380 371064 0 0 0 0 165 394 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 159 354 2 1 98 0 0 0 0 0 742164 76388 371060 0 0 0 16 180 447 2 0 91 6 0 0 0 0 742164 76388 371064 0 0 0 0 143 344 2 1 98 0 0 0 1 0 742784 76416 370044 0 0 28 580 360 678 3 1 74 23 0 1 0 0 744768 76496 367772 0 0 40 1036 437 865 3 1 53 43 0 0 1 0 747248 76596 365412 0 0 48 1224 561 923 3 2 53 43 0 0 1 0 749232 76696 363092 0 0 32 1132 512 883 3 2 52 44 0 0 1 0 751340 76772 361020 0 0 32 1008 472 872 2 1 52 45 0 0 1 0 753448 76840 358540 0 0 36 1088 512 860 2 1 51 46 0 0 1 0 755060 76936 357636 0 0 28 1012 481 922 2 2 52 45 0 0 1 0 755060 77064 357988 0 0 12 896 444 902 2 1 53 45 0 0 1 0 754688 77148 358448 0 0 16 1096 506 1007 1 1 56 42 0 0 2 0 754192 77268 358932 0 0 12 1060 481 957 1 2 53 44 0 0 1 0 753696 77380 359392 0 0 12 1052 512 1025 2 1 55 42 0 0 1 0 751028 77480 359828 0 0 8 984 423 909 2 2 52 45 0 0 1 0 750524 77620 360200 0 0 8 788 367 869 1 2 54 44 0 0 1 0 749904 77700 360664 0 0 8 928 439 924 2 2 55 43 0 0 1 0 749408 77796 361084 0 0 12 976 468 967 1 1 56 43 0 0 1 0 748788 77896 361464 0 0 12 992 453 944 1 2 54 43 0 1 1 0 748416 77992 361996 0 0 12 784 392 868 2 1 52 46 0 0 1 0 747920 78092 362336 0 0 4 896 382 874 1 1 52 46 0 0 1 0 745252 78172 362780 0 0 12 1040 444 923 1 1 56 42 0 0 1 0 744764 78288 363220 0 0 8 1024 448 934 2 1 55 43 0 0 1 0 744144 78408 363668 0 0 8 1000 461 982 2 1 53 44 0 0 1 0 743648 78488 364148 0 0 8 872 443 888 2 1 54 43 0 0 1 0 743152 78548 364468 0 0 16 1020 511 995 2 1 55 43 0 0 1 0 742656 78632 365024 0 0 12 928 431 913 1 2 53 44 0 0 1 0 742160 78728 365468 0 0 12 996 470 955 2 2 54 44 0 1 1 0 739492 78840 365896 0 0 8 988 447 939 1 2 52 46 0 0 1 0 738872 78996 366352 0 0 12 972 442 928 1 1 55 44 0 1 1 0 738244 79148 366812 0 0 8 948 549 1126 2 2 54 43 0 0 1 0 737624 79312 367188 0 0 12 996 456 953 2 2 54 43 0 0 1 0 736880 79456 367660 0 0 12 960 444 918 1 1 53 46 0 0 1 0 736260 79584 368124 0 0 8 884 414 921 1 1 54 44 0 0 1 0 735648 79716 368488 0 0 12 976 450 955 2 1 56 41 0 0 1 0 733104 79840 368988 0 0 12 932 453 918 1 2 55 43 0 0 1 0 732608 79996 369356 0 0 16 916 444 889 1 2 54 43 0 1 1 0 731476 80128 369800 0 0 16 852 514 978 2 2 54 43 0 0 1 0 731244 80252 370200 0 0 8 904 398 870 2 1 55 43 0 1 1 0 730624 80384 370612 0 0 12 1032 447 977 1 2 57 41 0 0 1 0 730004 80524 371096 0 0 12 984 469 941 2 2 52 45 0 0 1 0 729508 80636 371544 0 0 12 928 438 922 2 1 52 46 0 0 1 0 728888 80756 371948 0 0 16 972 439 943 2 1 55 43 0 0 1 0 726468 80900 372272 0 0 8 960 545 1024 2 1 54 43 0 1 1 0 726344 81024 372272 0 0 8 464 490 1057 1 2 53 44 0 0 1 0 726096 81148 372276 0 0 4 328 441 1063 2 1 53 45 0 1 1 0 726096 81256 372292 0 0 0 296 387 975 1 1 53 45 0 0 1 0 725848 81380 372284 0 0 4 332 425 1034 2 1 54 44 0 1 1 0 725848 81496 372300 0 0 4 308 386 992 2 1 54 43 0 0 1 0 725600 81616 372296 0 0 4 328 404 1060 1 1 54 44 0 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu----- r b swpd free buff cache si so bi bo in cs us sy id wa st 0 1 0 725600 81732 372296 0 0 4 328 439 1011 1 1 53 44 0 0 1 0 725476 81848 372308 0 0 0 316 441 1023 2 2 52 46 0 1 1 0 725352 81972 372300 0 0 4 344 451 1021 1 1 55 43 0 2 1 0 725228 82088 372320 0 0 0 328 427 1058 1 1 54 44 0 1 1 0 724980 82220 372300 0 0 4 336 419 999 2 1 54 44 0 1 1 0 724980 82328 372320 0 0 4 320 430 1019 1 1 54 44 0 1 1 0 724732 82436 372328 0 0 0 388 363 942 2 1 54 44 0 1 1 0 724608 82560 372312 0 0 4 308 419 993 1 2 54 44 0 1 0 0 724360 82684 372320 0 0 0 304 421 1028 2 1 55 42 0 1 0 0 724360 82684 372388 0 0 0 0 158 416 2 1 98 0 0 1 1 0 724236 82720 372360 0 0 0 6464 243 855 3 2 84 12 0 1 0 0 724112 82748 372360 0 0 0 5356 266 895 3 1 84 12 0 2 1 0 724112 82764 372380 0 0 0 3052 221 511 2 2 93 4 0 1 0 0 724112 82796 372372 0 0 0 4548 325 1067 2 2 81 16 0 1 0 0 724112 82816 372368 0 0 0 3240 259 829 3 1 90 6 0 1 0 0 724112 82836 372380 0 0 0 3260 309 822 3 2 88 8 0 1 1 0 724112 82876 372364 0 0 0 4680 326 978 3 1 77 19 0 1 0 0 724112 82884 372380 0 0 0 512 207 508 2 1 95 2 0 1 0 0 724112 82884 372388 0 0 0 0 138 361 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 158 397 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 146 395 2 1 98 0 0 2 0 0 724112 82884 372388 0 0 0 0 160 395 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 163 382 1 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 176 422 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 134 351 2 1 98 0 0 0 0 0 724112 82884 372388 0 0 0 0 190 429 2 1 97 0 0 0 0 0 724104 82884 372392 0 0 0 0 139 358 2 1 98 0 0 0 0 0 724848 82884 372392 0 0 0 4 211 432 2 1 97 0 0 1 0 0 724980 82884 372392 0 0 0 0 166 370 2 1 98 0 0 0 0 0 724980 82884 372392 0 0 0 0 164 397 2 1 98 0 0 ^C [root@localhost ~]#

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  • Error installing gst-python through Homebrew

    - by hrr
    I'm trying to install gst-python and it errors with: brew install gst-python Warning: Your Xcode (4.2.1) is outdated Please install Xcode 4.5.2. ==> Downloading http://gstreamer.freedesktop.org/src/gst-python/gst-python-0.10. Already downloaded: /Library/Caches/Homebrew/gst-python-0.10.22.tar.bz2 ==> ./configure --prefix=/usr/local/Cellar/gst-python/0.10.22 configure: set WARNING_CFLAGS to -Wall -Wdeclaration-after-statement -Wpointer-arith configure: set ERROR_CFLAGS to checking for valgrind... no checking for libraries required to embed python... no configure: error: could not find Python lib This is all after I removed the default OSX python and re-installed it with Homebrew, I've edited /etc/paths and python is working well. I just can't install the package above (gst, pygtk is successfully installed). i was told that I need to install python-devel but I have no idea where from. I'm using OSX Lion 10.7.5 With Python 2.7.3

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  • MySQL is running VERY slow on CentOS 6x (not 5x)

    - by user1032531
    I have two servers: a VPS and a laptop. I recently re-built both of them, and MySQL is running about 20 times slower on the laptop. Both servers used to run CentOS 5.8 and I think MySQL 5.1, and the laptop used to do great so I do not think it is the hardware. For the VPS, my provider installed CentOS 6.4, and then I installed MySQL 5.1.69 using yum with the CentOS repo. For the laptop, I installed CentOS 6.4 basic server and then installed MySQL 5.1.69 using yum with the CentOS repo. my.cnf for both servers are identical, and I have shown below. For both servers, I've also included below the output from SHOW VARIABLES; as well as output from sysbench, file system information, and cpu information. I have tried adding skip-name-resolve, but it didn't help. The matrix below shows the SHOW VARIABLES output from both servers which is different. Again, MySQL was installed the same way, so I do not know why it is different, but it is and I think this might be why the laptop is executing MySQL so slowly. Why is the laptop running MySQL slowly, and how do I fix it? Differences between SHOW VARIABLES on both servers +---------------------------+-----------------------+-------------------------+ | Variable | Value-VPS | Value-Laptop | +---------------------------+-----------------------+-------------------------+ | hostname | vps.site1.com | laptop.site2.com | | max_binlog_cache_size | 4294963200 | 18446744073709500000 | | max_seeks_for_key | 4294967295 | 18446744073709500000 | | max_write_lock_count | 4294967295 | 18446744073709500000 | | myisam_max_sort_file_size | 2146435072 | 9223372036853720000 | | myisam_mmap_size | 4294967295 | 18446744073709500000 | | plugin_dir | /usr/lib/mysql/plugin | /usr/lib64/mysql/plugin | | pseudo_thread_id | 7568 | 2 | | system_time_zone | EST | PDT | | thread_stack | 196608 | 262144 | | timestamp | 1372252112 | 1372252046 | | version_compile_machine | i386 | x86_64 | +---------------------------+-----------------------+-------------------------+ my.cnf for both servers [root@server1 ~]# cat /etc/my.cnf [mysqld] datadir=/var/lib/mysql socket=/var/lib/mysql/mysql.sock user=mysql # Disabling symbolic-links is recommended to prevent assorted security risks symbolic-links=0 [mysqld_safe] log-error=/var/log/mysqld.log pid-file=/var/run/mysqld/mysqld.pid innodb_strict_mode=on sql_mode=TRADITIONAL # sql_mode=STRICT_TRANS_TABLES,NO_ZERO_DATE,NO_ZERO_IN_DATE character-set-server=utf8 collation-server=utf8_general_ci log=/var/log/mysqld_all.log [root@server1 ~]# VPS SHOW VARIABLES Info Same as Laptop shown below but changes per above matrix (removed to allow me to be under the 30000 characters as required by ServerFault) Laptop SHOW VARIABLES Info auto_increment_increment 1 auto_increment_offset 1 autocommit ON automatic_sp_privileges ON back_log 50 basedir /usr/ big_tables OFF binlog_cache_size 32768 binlog_direct_non_transactional_updates OFF binlog_format STATEMENT bulk_insert_buffer_size 8388608 character_set_client utf8 character_set_connection utf8 character_set_database latin1 character_set_filesystem binary character_set_results utf8 character_set_server latin1 character_set_system utf8 character_sets_dir /usr/share/mysql/charsets/ collation_connection utf8_general_ci collation_database latin1_swedish_ci collation_server latin1_swedish_ci completion_type 0 concurrent_insert 1 connect_timeout 10 datadir /var/lib/mysql/ date_format %Y-%m-%d datetime_format %Y-%m-%d %H:%i:%s default_week_format 0 delay_key_write ON delayed_insert_limit 100 delayed_insert_timeout 300 delayed_queue_size 1000 div_precision_increment 4 engine_condition_pushdown ON error_count 0 event_scheduler OFF expire_logs_days 0 flush OFF flush_time 0 foreign_key_checks ON ft_boolean_syntax + -><()~*:""&| ft_max_word_len 84 ft_min_word_len 4 ft_query_expansion_limit 20 ft_stopword_file (built-in) general_log OFF general_log_file /var/run/mysqld/mysqld.log group_concat_max_len 1024 have_community_features YES have_compress YES have_crypt YES have_csv YES have_dynamic_loading YES have_geometry YES have_innodb YES have_ndbcluster NO have_openssl DISABLED have_partitioning YES have_query_cache YES have_rtree_keys YES have_ssl DISABLED have_symlink DISABLED hostname server1.site2.com identity 0 ignore_builtin_innodb OFF init_connect init_file init_slave innodb_adaptive_hash_index ON innodb_additional_mem_pool_size 1048576 innodb_autoextend_increment 8 innodb_autoinc_lock_mode 1 innodb_buffer_pool_size 8388608 innodb_checksums ON innodb_commit_concurrency 0 innodb_concurrency_tickets 500 innodb_data_file_path ibdata1:10M:autoextend innodb_data_home_dir innodb_doublewrite ON innodb_fast_shutdown 1 innodb_file_io_threads 4 innodb_file_per_table OFF innodb_flush_log_at_trx_commit 1 innodb_flush_method innodb_force_recovery 0 innodb_lock_wait_timeout 50 innodb_locks_unsafe_for_binlog OFF innodb_log_buffer_size 1048576 innodb_log_file_size 5242880 innodb_log_files_in_group 2 innodb_log_group_home_dir ./ innodb_max_dirty_pages_pct 90 innodb_max_purge_lag 0 innodb_mirrored_log_groups 1 innodb_open_files 300 innodb_rollback_on_timeout OFF innodb_stats_method nulls_equal innodb_stats_on_metadata ON innodb_support_xa ON innodb_sync_spin_loops 20 innodb_table_locks ON innodb_thread_concurrency 8 innodb_thread_sleep_delay 10000 innodb_use_legacy_cardinality_algorithm ON insert_id 0 interactive_timeout 28800 join_buffer_size 131072 keep_files_on_create OFF key_buffer_size 8384512 key_cache_age_threshold 300 key_cache_block_size 1024 key_cache_division_limit 100 language /usr/share/mysql/english/ large_files_support ON large_page_size 0 large_pages OFF last_insert_id 0 lc_time_names en_US license GPL local_infile ON locked_in_memory OFF log OFF log_bin OFF log_bin_trust_function_creators OFF log_bin_trust_routine_creators OFF log_error /var/log/mysqld.log log_output FILE log_queries_not_using_indexes OFF log_slave_updates OFF log_slow_queries OFF log_warnings 1 long_query_time 10.000000 low_priority_updates OFF lower_case_file_system OFF lower_case_table_names 0 max_allowed_packet 1048576 max_binlog_cache_size 18446744073709547520 max_binlog_size 1073741824 max_connect_errors 10 max_connections 151 max_delayed_threads 20 max_error_count 64 max_heap_table_size 16777216 max_insert_delayed_threads 20 max_join_size 18446744073709551615 max_length_for_sort_data 1024 max_long_data_size 1048576 max_prepared_stmt_count 16382 max_relay_log_size 0 max_seeks_for_key 18446744073709551615 max_sort_length 1024 max_sp_recursion_depth 0 max_tmp_tables 32 max_user_connections 0 max_write_lock_count 18446744073709551615 min_examined_row_limit 0 multi_range_count 256 myisam_data_pointer_size 6 myisam_max_sort_file_size 9223372036853727232 myisam_mmap_size 18446744073709551615 myisam_recover_options OFF myisam_repair_threads 1 myisam_sort_buffer_size 8388608 myisam_stats_method nulls_unequal myisam_use_mmap OFF net_buffer_length 16384 net_read_timeout 30 net_retry_count 10 net_write_timeout 60 new OFF old OFF old_alter_table OFF old_passwords OFF open_files_limit 1024 optimizer_prune_level 1 optimizer_search_depth 62 optimizer_switch index_merge=on,index_merge_union=on,index_merge_sort_union=on,index_merge_intersection=on pid_file /var/run/mysqld/mysqld.pid plugin_dir /usr/lib64/mysql/plugin port 3306 preload_buffer_size 32768 profiling OFF profiling_history_size 15 protocol_version 10 pseudo_thread_id 3 query_alloc_block_size 8192 query_cache_limit 1048576 query_cache_min_res_unit 4096 query_cache_size 0 query_cache_type ON query_cache_wlock_invalidate OFF query_prealloc_size 8192 rand_seed1 rand_seed2 range_alloc_block_size 4096 read_buffer_size 131072 read_only OFF read_rnd_buffer_size 262144 relay_log relay_log_index relay_log_info_file relay-log.info relay_log_purge ON relay_log_space_limit 0 report_host report_password report_port 3306 report_user rpl_recovery_rank 0 secure_auth OFF secure_file_priv server_id 0 skip_external_locking ON skip_name_resolve OFF skip_networking OFF skip_show_database OFF slave_compressed_protocol OFF slave_exec_mode STRICT slave_load_tmpdir /tmp slave_max_allowed_packet 1073741824 slave_net_timeout 3600 slave_skip_errors OFF slave_transaction_retries 10 slow_launch_time 2 slow_query_log OFF slow_query_log_file /var/run/mysqld/mysqld-slow.log socket /var/lib/mysql/mysql.sock sort_buffer_size 2097144 sql_auto_is_null ON sql_big_selects ON sql_big_tables OFF sql_buffer_result OFF sql_log_bin ON sql_log_off OFF sql_log_update ON sql_low_priority_updates OFF sql_max_join_size 18446744073709551615 sql_mode sql_notes ON sql_quote_show_create ON sql_safe_updates OFF sql_select_limit 18446744073709551615 sql_slave_skip_counter sql_warnings OFF ssl_ca ssl_capath ssl_cert ssl_cipher ssl_key storage_engine MyISAM sync_binlog 0 sync_frm ON system_time_zone PDT table_definition_cache 256 table_lock_wait_timeout 50 table_open_cache 64 table_type MyISAM thread_cache_size 0 thread_handling one-thread-per-connection thread_stack 262144 time_format %H:%i:%s time_zone SYSTEM timed_mutexes OFF timestamp 1372254399 tmp_table_size 16777216 tmpdir /tmp transaction_alloc_block_size 8192 transaction_prealloc_size 4096 tx_isolation REPEATABLE-READ unique_checks ON updatable_views_with_limit YES version 5.1.69 version_comment Source distribution version_compile_machine x86_64 version_compile_os redhat-linux-gnu wait_timeout 28800 warning_count 0 VPS Sysbench Info Deleted to stay under 30000 characters. Laptop Sysbench Info [root@server1 ~]# cat sysbench.txt sysbench 0.4.12: multi-threaded system evaluation benchmark Running the test with following options: Number of threads: 8 Doing OLTP test. Running mixed OLTP test Doing read-only test Using Special distribution (12 iterations, 1 pct of values are returned in 75 pct cases) Using "BEGIN" for starting transactions Using auto_inc on the id column Threads started! Time limit exceeded, exiting... (last message repeated 7 times) Done. OLTP test statistics: queries performed: read: 634718 write: 0 other: 90674 total: 725392 transactions: 45337 (755.56 per sec.) deadlocks: 0 (0.00 per sec.) read/write requests: 634718 (10577.78 per sec.) other operations: 90674 (1511.11 per sec.) Test execution summary: total time: 60.0048s total number of events: 45337 total time taken by event execution: 479.4912 per-request statistics: min: 2.04ms avg: 10.58ms max: 85.56ms approx. 95 percentile: 19.70ms Threads fairness: events (avg/stddev): 5667.1250/42.18 execution time (avg/stddev): 59.9364/0.00 [root@server1 ~]# VPS File Info [root@vps ~]# df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/simfs simfs 20971520 16187440 4784080 78% / none tmpfs 6224432 4 6224428 1% /dev none tmpfs 6224432 0 6224432 0% /dev/shm [root@vps ~]# Laptop File Info [root@server1 ~]# df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/mapper/vg_server1-lv_root ext4 72383800 4243964 64462860 7% / tmpfs tmpfs 956352 0 956352 0% /dev/shm /dev/sdb1 ext4 495844 60948 409296 13% /boot [root@server1 ~]# VPS CPU Info Removed to stay under the 30000 character limit required by ServerFault Laptop CPU Info [root@server1 ~]# cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 Duo CPU T7100 @ 1.80GHz stepping : 13 cpu MHz : 800.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 0 cpu cores : 2 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 3591.39 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: processor : 1 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 Duo CPU T7100 @ 1.80GHz stepping : 13 cpu MHz : 800.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 1 cpu cores : 2 apicid : 1 initial apicid : 1 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 3591.39 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: [root@server1 ~]# EDIT New Info requested by shakalandy [root@localhost ~]# cat /proc/meminfo MemTotal: 2044804 kB MemFree: 761464 kB Buffers: 68868 kB Cached: 369708 kB SwapCached: 0 kB Active: 881080 kB Inactive: 246016 kB Active(anon): 688312 kB Inactive(anon): 4416 kB Active(file): 192768 kB Inactive(file): 241600 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 4095992 kB SwapFree: 4095992 kB Dirty: 0 kB Writeback: 0 kB AnonPages: 688428 kB Mapped: 65156 kB Shmem: 4216 kB Slab: 92428 kB SReclaimable: 31260 kB SUnreclaim: 61168 kB KernelStack: 2392 kB PageTables: 28356 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 5118392 kB Committed_AS: 1530212 kB VmallocTotal: 34359738367 kB VmallocUsed: 343604 kB VmallocChunk: 34359372920 kB HardwareCorrupted: 0 kB AnonHugePages: 520192 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 8556 kB DirectMap2M: 2078720 kB [root@localhost ~]# ps aux | grep mysql root 2227 0.0 0.0 108332 1504 ? S 07:36 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/localhost.badobe.com.pid mysql 2319 0.1 24.5 1470068 501360 ? Sl 07:36 0:57 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib64/mysql/plugin --user=mysql --log-error=/var/lib/mysql/localhost.badobe.com.err --pid-file=/var/lib/mysql/localhost.badobe.com.pid root 3579 0.0 0.1 201840 3028 pts/0 S+ 07:40 0:00 mysql -u root -p root 13887 0.0 0.1 201840 3036 pts/3 S+ 18:08 0:00 mysql -uroot -px xxxxxxxxxx root 14449 0.0 0.0 103248 840 pts/2 S+ 18:16 0:00 grep mysql [root@localhost ~]# ps aux | grep mysql root 2227 0.0 0.0 108332 1504 ? S 07:36 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/localhost.badobe.com.pid mysql 2319 0.1 24.5 1470068 501356 ? Sl 07:36 0:57 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib64/mysql/plugin --user=mysql --log-error=/var/lib/mysql/localhost.badobe.com.err --pid-file=/var/lib/mysql/localhost.badobe.com.pid root 3579 0.0 0.1 201840 3028 pts/0 S+ 07:40 0:00 mysql -u root -p root 13887 0.0 0.1 201840 3048 pts/3 S+ 18:08 0:00 mysql -uroot -px xxxxxxxxxx root 14470 0.0 0.0 103248 840 pts/2 S+ 18:16 0:00 grep mysql [root@localhost ~]# vmstat 1 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu----- r b swpd free buff cache si so bi bo in cs us sy id wa st 0 0 0 742172 76376 371064 0 0 6 6 78 202 2 1 97 1 0 0 0 0 742164 76380 371060 0 0 0 16 191 467 2 1 93 5 0 0 0 0 742164 76380 371064 0 0 0 0 148 388 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 159 418 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 145 380 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 166 429 2 1 97 0 0 1 0 0 742164 76380 371064 0 0 0 0 148 373 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 149 382 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 168 408 2 0 97 0 0 0 0 0 742164 76380 371064 0 0 0 0 165 394 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 159 354 2 1 98 0 0 0 0 0 742164 76388 371060 0 0 0 16 180 447 2 0 91 6 0 0 0 0 742164 76388 371064 0 0 0 0 143 344 2 1 98 0 0 0 1 0 742784 76416 370044 0 0 28 580 360 678 3 1 74 23 0 1 0 0 744768 76496 367772 0 0 40 1036 437 865 3 1 53 43 0 0 1 0 747248 76596 365412 0 0 48 1224 561 923 3 2 53 43 0 0 1 0 749232 76696 363092 0 0 32 1132 512 883 3 2 52 44 0 0 1 0 751340 76772 361020 0 0 32 1008 472 872 2 1 52 45 0 0 1 0 753448 76840 358540 0 0 36 1088 512 860 2 1 51 46 0 0 1 0 755060 76936 357636 0 0 28 1012 481 922 2 2 52 45 0 0 1 0 755060 77064 357988 0 0 12 896 444 902 2 1 53 45 0 0 1 0 754688 77148 358448 0 0 16 1096 506 1007 1 1 56 42 0 0 2 0 754192 77268 358932 0 0 12 1060 481 957 1 2 53 44 0 0 1 0 753696 77380 359392 0 0 12 1052 512 1025 2 1 55 42 0 0 1 0 751028 77480 359828 0 0 8 984 423 909 2 2 52 45 0 0 1 0 750524 77620 360200 0 0 8 788 367 869 1 2 54 44 0 0 1 0 749904 77700 360664 0 0 8 928 439 924 2 2 55 43 0 0 1 0 749408 77796 361084 0 0 12 976 468 967 1 1 56 43 0 0 1 0 748788 77896 361464 0 0 12 992 453 944 1 2 54 43 0 1 1 0 748416 77992 361996 0 0 12 784 392 868 2 1 52 46 0 0 1 0 747920 78092 362336 0 0 4 896 382 874 1 1 52 46 0 0 1 0 745252 78172 362780 0 0 12 1040 444 923 1 1 56 42 0 0 1 0 744764 78288 363220 0 0 8 1024 448 934 2 1 55 43 0 0 1 0 744144 78408 363668 0 0 8 1000 461 982 2 1 53 44 0 0 1 0 743648 78488 364148 0 0 8 872 443 888 2 1 54 43 0 0 1 0 743152 78548 364468 0 0 16 1020 511 995 2 1 55 43 0 0 1 0 742656 78632 365024 0 0 12 928 431 913 1 2 53 44 0 0 1 0 742160 78728 365468 0 0 12 996 470 955 2 2 54 44 0 1 1 0 739492 78840 365896 0 0 8 988 447 939 1 2 52 46 0 0 1 0 738872 78996 366352 0 0 12 972 442 928 1 1 55 44 0 1 1 0 738244 79148 366812 0 0 8 948 549 1126 2 2 54 43 0 0 1 0 737624 79312 367188 0 0 12 996 456 953 2 2 54 43 0 0 1 0 736880 79456 367660 0 0 12 960 444 918 1 1 53 46 0 0 1 0 736260 79584 368124 0 0 8 884 414 921 1 1 54 44 0 0 1 0 735648 79716 368488 0 0 12 976 450 955 2 1 56 41 0 0 1 0 733104 79840 368988 0 0 12 932 453 918 1 2 55 43 0 0 1 0 732608 79996 369356 0 0 16 916 444 889 1 2 54 43 0 1 1 0 731476 80128 369800 0 0 16 852 514 978 2 2 54 43 0 0 1 0 731244 80252 370200 0 0 8 904 398 870 2 1 55 43 0 1 1 0 730624 80384 370612 0 0 12 1032 447 977 1 2 57 41 0 0 1 0 730004 80524 371096 0 0 12 984 469 941 2 2 52 45 0 0 1 0 729508 80636 371544 0 0 12 928 438 922 2 1 52 46 0 0 1 0 728888 80756 371948 0 0 16 972 439 943 2 1 55 43 0 0 1 0 726468 80900 372272 0 0 8 960 545 1024 2 1 54 43 0 1 1 0 726344 81024 372272 0 0 8 464 490 1057 1 2 53 44 0 0 1 0 726096 81148 372276 0 0 4 328 441 1063 2 1 53 45 0 1 1 0 726096 81256 372292 0 0 0 296 387 975 1 1 53 45 0 0 1 0 725848 81380 372284 0 0 4 332 425 1034 2 1 54 44 0 1 1 0 725848 81496 372300 0 0 4 308 386 992 2 1 54 43 0 0 1 0 725600 81616 372296 0 0 4 328 404 1060 1 1 54 44 0 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu----- r b swpd free buff cache si so bi bo in cs us sy id wa st 0 1 0 725600 81732 372296 0 0 4 328 439 1011 1 1 53 44 0 0 1 0 725476 81848 372308 0 0 0 316 441 1023 2 2 52 46 0 1 1 0 725352 81972 372300 0 0 4 344 451 1021 1 1 55 43 0 2 1 0 725228 82088 372320 0 0 0 328 427 1058 1 1 54 44 0 1 1 0 724980 82220 372300 0 0 4 336 419 999 2 1 54 44 0 1 1 0 724980 82328 372320 0 0 4 320 430 1019 1 1 54 44 0 1 1 0 724732 82436 372328 0 0 0 388 363 942 2 1 54 44 0 1 1 0 724608 82560 372312 0 0 4 308 419 993 1 2 54 44 0 1 0 0 724360 82684 372320 0 0 0 304 421 1028 2 1 55 42 0 1 0 0 724360 82684 372388 0 0 0 0 158 416 2 1 98 0 0 1 1 0 724236 82720 372360 0 0 0 6464 243 855 3 2 84 12 0 1 0 0 724112 82748 372360 0 0 0 5356 266 895 3 1 84 12 0 2 1 0 724112 82764 372380 0 0 0 3052 221 511 2 2 93 4 0 1 0 0 724112 82796 372372 0 0 0 4548 325 1067 2 2 81 16 0 1 0 0 724112 82816 372368 0 0 0 3240 259 829 3 1 90 6 0 1 0 0 724112 82836 372380 0 0 0 3260 309 822 3 2 88 8 0 1 1 0 724112 82876 372364 0 0 0 4680 326 978 3 1 77 19 0 1 0 0 724112 82884 372380 0 0 0 512 207 508 2 1 95 2 0 1 0 0 724112 82884 372388 0 0 0 0 138 361 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 158 397 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 146 395 2 1 98 0 0 2 0 0 724112 82884 372388 0 0 0 0 160 395 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 163 382 1 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 176 422 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 134 351 2 1 98 0 0 0 0 0 724112 82884 372388 0 0 0 0 190 429 2 1 97 0 0 0 0 0 724104 82884 372392 0 0 0 0 139 358 2 1 98 0 0 0 0 0 724848 82884 372392 0 0 0 4 211 432 2 1 97 0 0 1 0 0 724980 82884 372392 0 0 0 0 166 370 2 1 98 0 0 0 0 0 724980 82884 372392 0 0 0 0 164 397 2 1 98 0 0 ^C [root@localhost ~]# Database size mysql> SELECT table_schema "Data Base Name", sum( data_length + index_length ) / 1024 / 1024 "Data Base Size in MB", sum( data_free )/ 1024 / 1024 "Free Space in MB" FROM information_schema.TABLES GROUP BY table_schema; +--------------------+----------------------+------------------+ | Data Base Name | Data Base Size in MB | Free Space in MB | +--------------------+----------------------+------------------+ | bidjunction | 4.68750000 | 0.00000000 | | information_schema | 0.00976563 | 0.00000000 | | mysql | 0.63899899 | 0.00105286 | +--------------------+----------------------+------------------+ 3 rows in set (0.01 sec) mysql> Before Query mysql> SHOW SESSION STATUS like '%Tmp%'; +-------------------------+-------+ | Variable_name | Value | +-------------------------+-------+ | Created_tmp_disk_tables | 0 | | Created_tmp_files | 6 | | Created_tmp_tables | 0 | +-------------------------+-------+ 3 rows in set (0.00 sec) mysql> After Query mysql> SHOW SESSION STATUS like '%Tmp%'; +-------------------------+-------+ | Variable_name | Value | +-------------------------+-------+ | Created_tmp_disk_tables | 0 | | Created_tmp_files | 6 | | Created_tmp_tables | 2 | +-------------------------+-------+ 3 rows in set (0.00 sec) mysql>

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  • pip requirements.txt with alternative index

    - by piquadrat
    I want to put all the requirements of a repoze Zope2 install in a pip requirements file. Most of the repoze packages don't seem to be on PyPi, but there's an alternative PyPi index for them here. But I can't figure out how to tell pip to use that index together with a requirements file. For single packages, it's easy pip install zopelib -i http://dist.repoze.org/zope2/2.10/simple/ I tried the following pip install -r requirements.txt -i http://dist.repoze.org/zope2/2.10/simple/ or in my requirements.txt all kind or permutations of these: zopelib -i http://dist.repoze.org/zope2/2.10/simple/ zopelib --index http://dist.repoze.org/zope2/2.10/simple/ -i http://dist.repoze.org/zope2/2.10/simple/ zopelib or (because the documentation says "Note that all these options must be on a line of their own.") --index http://dist.repoze.org/zope2/2.10/simple/ zopelib So, what's the correct way of telling pip to use http://dist.repoze.org/zope2/2.10/simple/ as index?

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  • Optimizing python code performance when importing zipped csv to a mongo collection

    - by mark
    I need to import a zipped csv into a mongo collection, but there is a catch - every record contains a timestamp in Pacific Time, which must be converted to the local time corresponding to the (longitude,latitude) pair found in the same record. The code looks like so: def read_csv_zip(path, timezones): with ZipFile(path) as z, z.open(z.namelist()[0]) as input: csv_rows = csv.reader(input) header = csv_rows.next() check,converters = get_aux_stuff(header) for csv_row in csv_rows: if check(csv_row): row = { converter[0]:converter[1](value) for converter, value in zip(converters, csv_row) if allow_field(converter) } ts = row['ts'] lng, lat = row['loc'] found_tz_entry = timezones.find_one(SON({'loc': {'$within': {'$box': [[lng-tz_lookup_radius, lat-tz_lookup_radius],[lng+tz_lookup_radius, lat+tz_lookup_radius]]}}})) if found_tz_entry: tz_name = found_tz_entry['tz'] local_ts = ts.astimezone(timezone(tz_name)).replace(tzinfo=None) row['tz'] = tz_name else: local_ts = (ts.astimezone(utc) + timedelta(hours = int(lng/15))).replace(tzinfo = None) row['local_ts'] = local_ts yield row def insert_documents(collection, source, batch_size): while True: items = list(itertools.islice(source, batch_size)) if len(items) == 0: break; try: collection.insert(items) except: for item in items: try: collection.insert(item) except Exception as exc: print("Failed to insert record {0} - {1}".format(item['_id'], exc)) def main(zip_path): with Connection() as connection: data = connection.mydb.data timezones = connection.timezones.data insert_documents(data, read_csv_zip(zip_path, timezones), 1000) The code proceeds as follows: Every record read from the csv is checked and converted to a dictionary, where some fields may be skipped, some titles be renamed (from those appearing in the csv header), some values may be converted (to datetime, to integers, to floats. etc ...) For each record read from the csv, a lookup is made into the timezones collection to map the record location to the respective time zone. If the mapping is successful - that timezone is used to convert the record timestamp (pacific time) to the respective local timestamp. If no mapping is found - a rough approximation is calculated. The timezones collection is appropriately indexed, of course - calling explain() confirms it. The process is slow. Naturally, having to query the timezones collection for every record kills the performance. I am looking for advises on how to improve it. Thanks. EDIT The timezones collection contains 8176040 records, each containing four values: > db.data.findOne() { "_id" : 3038814, "loc" : [ 1.48333, 42.5 ], "tz" : "Europe/Andorra" } EDIT2 OK, I have compiled a release build of http://toblerity.github.com/rtree/ and configured the rtree package. Then I have created an rtree dat/idx pair of files corresponding to my timezones collection. So, instead of calling collection.find_one I call index.intersection. Surprisingly, not only there is no improvement, but it works even more slowly now! May be rtree could be fine tuned to load the entire dat/idx pair into RAM (704M), but I do not know how to do it. Until then, it is not an alternative. In general, I think the solution should involve parallelization of the task. EDIT3 Profile output when using collection.find_one: >>> p.sort_stats('cumulative').print_stats(10) Tue Apr 10 14:28:39 2012 ImportDataIntoMongo.profile 64549590 function calls (64549180 primitive calls) in 1231.257 seconds Ordered by: cumulative time List reduced from 730 to 10 due to restriction <10> ncalls tottime percall cumtime percall filename:lineno(function) 1 0.012 0.012 1231.257 1231.257 ImportDataIntoMongo.py:1(<module>) 1 0.001 0.001 1230.959 1230.959 ImportDataIntoMongo.py:187(main) 1 853.558 853.558 853.558 853.558 {raw_input} 1 0.598 0.598 370.510 370.510 ImportDataIntoMongo.py:165(insert_documents) 343407 9.965 0.000 359.034 0.001 ImportDataIntoMongo.py:137(read_csv_zip) 343408 2.927 0.000 287.035 0.001 c:\python27\lib\site-packages\pymongo\collection.py:489(find_one) 343408 1.842 0.000 274.803 0.001 c:\python27\lib\site-packages\pymongo\cursor.py:699(next) 343408 2.542 0.000 271.212 0.001 c:\python27\lib\site-packages\pymongo\cursor.py:644(_refresh) 343408 4.512 0.000 253.673 0.001 c:\python27\lib\site-packages\pymongo\cursor.py:605(__send_message) 343408 0.971 0.000 242.078 0.001 c:\python27\lib\site-packages\pymongo\connection.py:871(_send_message_with_response) Profile output when using index.intersection: >>> p.sort_stats('cumulative').print_stats(10) Wed Apr 11 16:21:31 2012 ImportDataIntoMongo.profile 41542960 function calls (41542536 primitive calls) in 2889.164 seconds Ordered by: cumulative time List reduced from 778 to 10 due to restriction <10> ncalls tottime percall cumtime percall filename:lineno(function) 1 0.028 0.028 2889.164 2889.164 ImportDataIntoMongo.py:1(<module>) 1 0.017 0.017 2888.679 2888.679 ImportDataIntoMongo.py:202(main) 1 2365.526 2365.526 2365.526 2365.526 {raw_input} 1 0.766 0.766 502.817 502.817 ImportDataIntoMongo.py:180(insert_documents) 343407 9.147 0.000 491.433 0.001 ImportDataIntoMongo.py:152(read_csv_zip) 343406 0.571 0.000 391.394 0.001 c:\python27\lib\site-packages\rtree-0.7.0-py2.7.egg\rtree\index.py:384(intersection) 343406 379.957 0.001 390.824 0.001 c:\python27\lib\site-packages\rtree-0.7.0-py2.7.egg\rtree\index.py:435(_intersection_obj) 686513 22.616 0.000 38.705 0.000 c:\python27\lib\site-packages\rtree-0.7.0-py2.7.egg\rtree\index.py:451(_get_objects) 343406 6.134 0.000 33.326 0.000 ImportDataIntoMongo.py:162(<dictcomp>) 346 0.396 0.001 30.665 0.089 c:\python27\lib\site-packages\pymongo\collection.py:240(insert) EDIT4 I have parallelized the code, but the results are still not very encouraging. I am convinced it could be done better. See my own answer to this question for details.

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  • SDL+OpenGL app: blank screen

    - by Lococo
    I spent the last three days trying to create a small app using SDL + OpenGL. The app itself runs fine -- except it never outputs any graphics; just a black screen. I've condensed it down to a minimal C file, and I'm hoping someone can give me some guidance. I'm running out of ideas. I'm using Windows Vista, MinGW & MSYS. Thanks in advance for any advice! #include <SDL/SDL.h> #include <SDL_opengl.h> size_t sx=600, sy=600, bpp=32; void render(void) { glEnable(GL_DEPTH_TEST); // enable depth testing glClearColor(0.0f, 0.0f, 0.0f, 0.0f); // clear to black glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT); // clear color/depth buffer glLoadIdentity(); // reset modelview matrix glColor3b(255, 0, 0); // red glLineWidth(3.0); // line width=3 glRecti(10, 10, sx-10, sy-10); // draw rectangle glFlush(); SDL_GL_SwapBuffers(); } int input(void) { SDL_Event event; while (SDL_PollEvent(&event)) if (event.type == SDL_QUIT || (event.type == SDL_KEYUP && event.key.keysym.sym == SDLK_ESCAPE)) return 0; return 1; } int main(int argc, char *argv[]) { SDL_Surface* surf; if (SDL_Init(SDL_INIT_EVERYTHING) != 0) return 0; if (!(surf = SDL_SetVideoMode(sx, sy, bpp, SDL_HWSURFACE|SDL_DOUBLEBUF))) return 0; glViewport(0, 0, sx, sy); // reset the viewport to new dimensions glMatrixMode(GL_PROJECTION); // set projection matrix to be current glLoadIdentity(); // reset projection matrix glOrtho(0, sx, sy, 0, -1.0, 1.0); // create ortho view glMatrixMode(GL_MODELVIEW); // set modelview matrix glLoadIdentity(); // reset modelview matrix for (;;) { if (!input()) break; render(); SDL_Delay(10); } SDL_FreeSurface(surf); SDL_Quit(); exit(0); } UPDATE: I have a version that works, but it changes orthographic to perspective. I'm not sure why this works and the other doesn't, but for future reference, here's a version that works: #include <SDL/SDL.h> #include <SDL_opengl.h> size_t sx=600, sy=600, bpp=32; void render(void) { glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT); glLoadIdentity(); // set location in front of camera glTranslated(0, 0, -10); glBegin(GL_QUADS); // draw a square glColor3d(1, 0, 0); glVertex3d(-2, 2, 0); glVertex3d( 2, 2, 0); glVertex3d( 2, -2, 0); glVertex3d(-2, -2, 0); glEnd(); glFlush(); SDL_GL_SwapBuffers(); } int input(void) { SDL_Event event; while (SDL_PollEvent(&event)) if (event.type == SDL_QUIT || (event.type == SDL_KEYUP && event.key.keysym.sym == SDLK_ESCAPE)) return 0; return 1; } int main(int argc, char *argv[]) { SDL_Surface *surf; if (SDL_Init(SDL_INIT_EVERYTHING) != 0) return 0; if (!(surf = SDL_SetVideoMode(sx, sy, bpp, SDL_OPENGL))) return 0; glViewport(0, 0, sx, sy); glMatrixMode(GL_PROJECTION); glLoadIdentity(); gluPerspective(45.0, (float)sx / (float)sy, 1.0, 100.0); glMatrixMode(GL_MODELVIEW); glClearColor(0, 0, 0, 1); glClearDepth(1.0); glEnable(GL_DEPTH_TEST); for (;;) { if (!input()) break; render(); SDL_Delay(10); } SDL_FreeSurface(surf); SDL_Quit(); return 0; }

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  • C++ pointers on example

    - by terence6
    I have a sample code : #include <iostream> #include <conio.h> using namespace std; int main () { int firstvalue = 5, secondvalue = 15; int * p1, * p2; p1 = &firstvalue; p2 = &secondvalue; cout << "1.p1: " << p1 << ", p2: " << p2 << endl; cout << "1.*p1: " << *p1 << ", *p2: " << *p2 << endl; *p1 = 10; cout << "2.p1: " << p1 << ", p2: " << p2 << endl; cout << "2.*p1: " << *p1 << ", *p2: " << *p2 << endl; *p2 = *p1; cout << "3.p1: " << p1 << ", p2: " << p2 << endl; cout << "3.*p1: " << *p1 << ", *p2: " << *p2 << endl; p1 = p2; cout << "4.p1: " << p1 << ", p2: " << p2 << endl; cout << "4.*p1: " << *p1 << ", *p2: " << *p2 << endl; *p1 = 20; cout << "5.p1: " << p1 << ", p2: " << p2 << endl; cout << "5.*p1: " << *p1 << ", *p2: " << *p2 << endl; cout << "firstvalue is " << firstvalue << endl; cout << "secondvalue is " << secondvalue << endl; cout << "firstvalue is " << &firstvalue << endl; cout << "secondvalue is " << &secondvalue << endl; getch(); return 0; } And here's the output : 1.p1: 0041FB40, p2: 0041FB34 1.*p1: 5, *p2: 15 2.p1: 0041FB40, p2: 0041FB34 2.*p1: 10, *p2: 15 3.p1: 0041FB40, p2: 0041FB34 3.*p1: 10, *p2: 10 4.p1: 0041FB34, p2: 0041FB34 4.*p1: 10, *p2: 10 5.p1: 0041FB34, p2: 0041FB34 5.*p1: 20, *p2: 20 firstvalue is 10 secondvalue is 20 firstvalue is 0041FB40 secondvalue is 0041FB34 What is copied in the line "p1 = p2" ? Does p1 become reference to p2 or does it work in different way ?

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