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  • Notes from a short presentation on NodeJs

    - by Aligned
    Originally posted on: http://geekswithblogs.net/Aligned/archive/2014/05/30/notes-from-a-short-presentation-on-nodejs.aspxI volunteered myself to give a short 30 minute presentation at a work lunch and learn on NodeJs. With my limited experience I see using Node as a great tool for build process improvement, scaffolding with yeoman, and running tests with Karma. I haven’t looked into using as a full server or development stack. I guess I’m too stuck on IIS and Visual Studio :-). Here are my notes, that aren’t very well formatted, but I wanted to share it anyways. What is it? "Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices." Why should you be interested? another popular tool that can help you get the job done you can use the command prompt! can be run at build or release time to automate tasks What are some uses? https://www.npmjs.org/ - NuGet for Node packages http://bower.io/ - NuGet for UI JavaScript libraries (jQuery, Bootstrap, Angular, etc) http://yeoman.io/ "Our workflow is comprised of three tools for improving your productivity and satisfaction when building a web app: yo (the scaffolding tool), grunt (the build tool) and bower (for package management)." -> yeoman asks which components you want alternative - http://joakimbeng.eu01.aws.af.cm/slush-replacing-yeoman-with-gulp/ https://www.npmjs.org/package/generator-cg-angular - phantom js, less, // git is needed for bower http://git-scm.com/ run installer in Windows before you can use bower // select Run Git from the Windows Command Prompt in the installer // requires a reboot http://stackoverflow.com/questions/20069297/bower-git-not-in-the-path-error npm install -g git npm install -g yo npm install -g generator-cg-angular mkdir myapp cd myapp yo cg-angular npm install -g bower npm install -g grunt-cli yo bower grunt serve grunt test grunt build // there are many generators (generator-angular) is another one // I like the Nuget HotTowel-Angular from John Papa myself // needed IIS Node for Express -> prompt from WebMatrix Karma bat to startup Karma - see below image compression - https://www.npmjs.org/search?q=optimize+images, https://github.com/heldr/node-smushit - do it from the command line LESS compiling js and css combine and minification at build with Gulp for requireJS apps quick lightweight HTTP server - "Express" Build pipeline with Grunt or Gulp http://www.johnpapa.net/gulp-and-grunt-at-anglebrackets/ Gulp is the newer and improved over Grunt. Supposed to be easier to use, but Grunt is more established. https://github.com/johnpapa/ng-demos/tree/master/grunt-gulp https://github.com/assetgraph/assetgraph-builder Does a lot of the minimizing, combining, image optimization etc using Node. Looks interesting.... http://nodejs.org http://nodeschool.io/ http://sub.watchmecode.net/getting-started-with-nodejs-installing-and-writing-your-first-code/ https://stormpath.com/blog/build-a-killer-node-dot-js-client-for-your-rest-plus-json-api/ https://codio.com/ http://www.hanselman.com/blog/ItsJustASoftwareIssueEdgejsBringsNodeAndNETTogetherOnThreePlatforms.aspx run unit tests - Karma in msBuild karma-start.bat @echo off cd %~dp0\.. REM 604800 is to make sure we only update once every 7 days call npm install --cache-min 604800 -g grunt-cli call npm install --cache-min 604800 call npm install --cache-min 604800 -g karma-cli karma start UnitTests\karma.conf.js REM karma start UnitTests\karma.conf.js --single-run REM see karma-start.bat and karam.config.js REM jsHint comes from Nuget

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  • Best Practices - Core allocation

    - by jsavit
    This post is one of a series of "best practices" notes for Oracle VM Server for SPARC (also called Logical Domains) Introduction SPARC T-series servers currently have up to 4 CPU sockets, each of which has up to 8 or (on SPARC T3) 16 CPU cores, while each CPU core has 8 threads, for a maximum of 512 dispatchable CPUs. The defining feature of Oracle VM Server for SPARC is that each domain is assigned CPU threads or cores for its exclusive use. This avoids the overhead of software-based time-slicing and emulation (or binary rewriting) of system state-changing privileged instructions used in traditional hypervisors. To create a domain, administrators specify either the number of CPU threads or cores that the domain will own, as well as its memory and I/O resources. When CPU resources are assigned at the individual thread level, the logical domains constraint manager attempts to assign threads from the same cores to a domain, and avoid "split core" situations where the same CPU core is used by multiple domains. Sometimes this is unavoidable, especially when domains are allocated and deallocated CPUs in small increments. Why split cores can matter Split core allocations can silenty reduce performance because multiple domains with different address spaces and memory contents are sharing the core's Level 1 cache (L1$). This is called false cache sharing since even identical memory addresses from different domains must point to different locations in RAM. The effect of this is increased contention for the cache, and higher memory latency for each domain using that core. The degree of performance impact can be widely variable. For applications with very small memory working sets, and with I/O bound or low-CPU utilization workloads, it may not matter at all: all machines wait for work at the same speed. If the domains have substantial workloads, or are critical to performance then this can have an important impact: This blog entry was inspired by a customer issue in which one CPU core was split among 3 domains, one of which was the control and service domain. The reported problem was increased I/O latency in guest domains, but the root cause might be higher latency servicing the I/O requests due to the control domain being slowed down. What to do about it Split core situations are easily avoided. In most cases the logical domain constraint manager will avoid it without any administrative action, but it can be entirely prevented by doing one of the several actions: Assign virtual CPUs in multiples of 8 - the number of threads per core. For example: ldm set-vcpu 8 mydomain or ldm add-vcpu 24 mydomain. Each domain will then be allocated on a core boundary. Use the whole core constraint when assigning CPU resources. This allocates CPUs in increments of entire cores instead of virtual CPU threads. The equivalent of the above commands would be ldm set-core 1 mydomain or ldm add-core 3 mydomain. Older syntax does the same thing by adding the -c flag to the add-vcpu, rm-vcpu and set-vcpu commands, but the new syntax is recommended. When whole core allocation is used an attempt to add cores to a domain fails if there aren't enough completely empty cores to satisfy the request. See https://blogs.oracle.com/sharakan/entry/oracle_vm_server_for_sparc4 for an excellent article on this topic by Eric Sharakan. Don't obsess: - if the workloads have minimal CPU requirements and don't need anywhere near a full CPU core, then don't worry about it. If you have low utilization workloads being consolidated from older machines onto a current T-series, then there's no need to worry about this or to assign an entire core to domains that will never use that much capacity. In any case, make sure the most important domains have their own CPU cores, in particular the control domain and any I/O or service domain, and of course any important guests. Summary Split core CPU allocation to domains can potentially have an impact on performance, but the logical domains manager tends to prevent this situation, and it can be completely and simply avoided by allocating virtual CPUs on core boundaries.

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  • Reducing Deadlocks - not a DBA issue ?

    - by steveh99999
     As a DBA, I'm involved on an almost daily basis troubleshooting 'SQL Server' performance issues. Often, this troubleshooting soon veers away from a 'its a SQL Server issue' to instead become a wider application/database design/coding issue.One common perception with SQL Server is that deadlocking is an application design issue - and is fixed by recoding...  I see this reinforced by MCP-type questions/scenarios where the answer to prevent deadlocking is simply to change the order in code in which tables are accessed....Whilst this is correct, I do think this has led to a situation where many 'operational' or 'production support' DBAs, when faced with a deadlock, are happy to throw the issue over to developers without analysing the issue further....A couple of 'war stories' on deadlocks which I think are interesting :- Case One , I had an issue recently on a third-party application that I support on SQL 2008.  This particular third-party application has an unusual support agreement where the customer is allowed to change the index design on the third-party provided database.  However, we are not allowed to alter application code or modify table structure..This third-party application is also known to encounter occasional deadlocks – indeed, I have documentation from the vendor that up to 50 deadlocks per day is not unusual !So, as a DBA I have to support an application which in my opinion has too many deadlocks - but, I cannot influence the design of the tables or stored procedures for the application. This should be the classic - blame the third-party developers scenario, and hope this issue gets addressed in a future application release - ie we could wait years for this to be resolved and implemented in our production environment...But, as DBAs  can change the index layout, is there anything I could do still to reduce the deadlocks in the application ?I initially used SQL traceflag 1222 to write deadlock detection output to the SQL Errorlog – using this I was able to identify one table heavily involved in the deadlocks.When I examined the table definition, I was surprised to see it was a heap – ie no clustered index existed on the table.Using SQL profiler to see locking behaviour and plan for the query involved in the deadlock, I was able to confirm a table scan was being performed.By creating an appropriate clustered index - it was possible to produce a more efficient plan and locking behaviour.So, less locks, held for less time = less possibility of deadlocks. I'm still unhappy about the overall number of deadlocks on this system - but that's something to be discussed further with the vendor.Case Two,  a system which hadn't changed for months suddenly started seeing deadlocks on a regular basis. I love the 'nothing's changed' scenario, as it gives me the opportunity to appear wise and say 'nothings changed on this system, except the data'.. This particular deadlock occurred on a table which had been growing rapidly. By using DBCC SHOW_STATISTICS - the DBA team were able to see that the deadlocks seemed to be occurring shortly after auto-update stats had regenerated the table statistics using it's default sampling behaviour.As a quick fix, we were able to schedule a nightly UPDATE STATISTICS WITH FULLSCAN on the table involved in the deadlock - thus, greatly reducing the potential for stats to be updated via auto_update_stats, consequently reducing the potential for a bad plan to be generated based on an unrepresentative sample of the data. This reduced the possibility of a deadlock occurring.  Not a perfect solution by any means, but quick, easy to implement, and needed no application code changes. This fix gave us some 'breathing space'  to properly fix the code during the next scheduled application release.   The moral of this post - don't dismiss deadlocks as issues that can only be fixed by developers...

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  • Handling Configuration Changes in Windows Azure Applications

    - by Your DisplayName here!
    While finalizing StarterSTS 1.5, I had a closer look at lifetime and configuration management in Windows Azure. (this is no new information – just some bits and pieces compiled at one single place – plus a bit of reality check) When dealing with lifetime management (and especially configuration changes), there are two mechanisms in Windows Azure – a RoleEntryPoint derived class and a couple of events on the RoleEnvironment class. You can find good documentation about RoleEntryPoint here. The RoleEnvironment class features two events that deal with configuration changes – Changing and Changed. Whenever a configuration change gets pushed out by the fabric controller (either changes in the settings section or the instance count of a role) the Changing event gets fired. The event handler receives an instance of the RoleEnvironmentChangingEventArgs type. This contains a collection of type RoleEnvironmentChange. This in turn is a base class for two other classes that detail the two types of possible configuration changes I mentioned above: RoleEnvironmentConfigurationSettingsChange (configuration settings) and RoleEnvironmentTopologyChange (instance count). The two respective classes contain information about which configuration setting and which role has been changed. Furthermore the Changing event can trigger a role recycle (aka reboot) by setting EventArgs.Cancel to true. So your typical job in the Changing event handler is to figure if your application can handle these configuration changes at runtime, or if you rather want a clean restart. Prior to the SDK 1.3 VS Templates – the following code was generated to reboot if any configuration settings have changed: private void RoleEnvironmentChanging(object sender, RoleEnvironmentChangingEventArgs e) {     // If a configuration setting is changing     if (e.Changes.Any(change => change is RoleEnvironmentConfigurationSettingChange))     {         // Set e.Cancel to true to restart this role instance         e.Cancel = true;     } } This is a little drastic as a default since most applications will work just fine with changed configuration – maybe that’s the reason this code has gone away in the 1.3 SDK templates (more). The Changed event gets fired after the configuration changes have been applied. Again the changes will get passed in just like in the Changing event. But from this point on RoleEnvironment.GetConfigurationSettingValue() will return the new values. You can still decide to recycle if some change was so drastic that you need a restart. You can use RoleEnvironment.RequestRecycle() for that (more). As a rule of thumb: When you always use GetConfigurationSettingValue to read from configuration (and there is no bigger state involved) – you typically don’t need to recycle. In the case of StarterSTS, I had to abstract away the physical configuration system and read the actual configuration (either from web.config or the Azure service configuration) at startup. I then cache the configuration settings in memory. This means I indeed need to take action when configuration changes – so in my case I simply clear the cache, and the new config values get read on the next access to my internal configuration object. No downtime – nice! Gotcha A very natural place to hook up the RoleEnvironment lifetime events is the RoleEntryPoint derived class. But with the move to the full IIS model in 1.3 – the RoleEntryPoint methods get executed in a different AppDomain (even in a different process) – see here.. You might no be able to call into your application code to e.g. clear a cache. Keep that in mind! In this case you need to handle these events from e.g. global.asax.

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  • Fast Data - Big Data's achilles heel

    - by thegreeneman
    At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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  • Moving StarterSTS to the (Azure) Cloud

    - by Your DisplayName here!
    Quite some people asked me about an Azure version of StarterSTS. While I kinda knew what I had to do to make the move, I couldn’t find the time. Until recently. This blog post briefly documents the necessary changes and design decisions for the next version of StarterSTS which will work both on-premise and on Azure. Provider Fortunately StarterSTS is already based on the idea of “providers”. Authentication, roles and claims generation is based on the standard ASP.NET provider infrastructure. This makes the migration to different data stores less painful. In my case I simply moved the ASP.NET provider database to SQL Azure and still use the standard SQL Server based membership, roles and profile provider. In addition StarterSTS has its own providers to abstract resource access for certificates, relying party registration, client certificate registration and delegation. So I only had to provide new implementations. Signing and SSL keys now go in the Azure certificate store and user mappings (client certificates and delegation settings) have been moved to Azure table storage. The one thing I didn’t anticipate when I originally wrote StarterSTS was the need to also encapsulate configuration. Currently configuration is “locked” to the standard .NET configuration system. The new version will have a pluggable SettingsProvider with versions for .NET configuration as well as Azure service configuration. If you want to externalize these settings into e.g. a database, it is now just a matter of supplying a corresponding provider. Moving between the on-premise and Azure version will be just a matter of using different providers. URL Handling Another thing that’s substantially different on Azure (and load balanced scenarios in general) is the handling of URLs. In farm scenarios, the standard APIs like ASP.NET’s Request.Url return the current (internal) machine name, but you typically need the address of the external facing load balancer. There’s a hotfix for WCF 3.5 (included in v4) that fixes this for WCF metadata. This was accomplished by using the HTTP Host header to generate URLs instead of the local machine name. I now use the same approach for generating WS-Federation metadata as well as information card files. New Features I introduced a cache provider. Since we now have slightly more expensive lookups (e.g. relying party data from table storage), it makes sense to cache certain data in the front end. The default implementation uses the ASP.NET web cache and can be easily extended to use products like memcached or AppFabric Caching. Starting with the relying party provider, I now also provide a read/write interface. This allows building management interfaces on top of this provider. I also include a (very) simple web page that allows working with the relying party provider data. I guess I will use the same approach for other providers in the future as well. I am also doing some work on the tracing and health monitoring area. Especially important for the Azure version. Stay tuned.

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  • Confused about modifying the sprint backlog during a sprint

    - by Maltiriel
    I've been reading a lot about scrum lately, and I've found what seem to me to be conflicting information about whether or not it's ok to change the sprint backlog during a sprint. The Wikipedia article on scrum says it's not ok, and various other articles say this as well. Also my Software Development professor taught the same thing during an overview of scrum. However, I read Scrum and XP from the Trenches and that describes a section for unplanned items on the taskboard. So then I looked up the Scrum Guide and it says that during the sprint "No changes are made that would affect the Sprint Goal" and in the discussion of the Sprint Goal "If the work turns out to be different than the Development Team expected, then they collaborate with the Product Owner to negotiate the scope of Sprint Backlog within the Sprint." It goes on to say in the discussion of the Sprint Backlog: The Sprint Backlog is a plan with enough detail that changes in progress can be understood in the Daily Scrum. The Development Team modifies Sprint Backlog throughout the Sprint, and the Sprint Backlog emerges during the Sprint. This emergence occurs as the Development Team works through the plan and learns more about the work needed to achieve the Sprint Goal. As new work is required, the Development Team adds it to the Sprint Backlog. As work is performed or completed, the estimated remaining work is updated. When elements of the plan are deemed unnecessary, they are removed. Only the Development Team can change its Sprint Backlog during a Sprint. The Sprint Backlog is a highly visible, real-time picture of the work that the Development Team plans to accomplish during the Sprint, and it belongs solely to the Development Team. So at this point I'm altogether confused. Thinking about it, it makes more sense to me to take the second approach. The individual, specific items in the backlog don't seem to me to be the most important thing, but rather the sprint goal, so not changing the sprint goal but being able to change the backlog makes sense. For instance if both the product owner and the team thought they were on the same page about a story, but as the sprint progressed they figured out there was a misunderstanding, it seems like it makes sense to change the tasks that make up that story accordingly. Or if there was some story or task that was forgotten about, but is required to reach the sprint goal, I would think it would be best to add the story or task to the backlog during the sprint. However, there are a lot of people who seem quite adamant that any change to the sprint backlog is not ok. Am I misunderstanding that position somehow? Are those folks defining the sprint backlog differently somehow? My understanding of the sprint backlog is that it consists of both the stories and the tasks they're broken down into. Anyway I would really appreciate input on this issue. I'm trying to figure out both what the idealistic scrum approach is to changing the sprint backlog during a sprint, and whether people who use scrum successfully for development allow changing the sprint backlog during a sprint.

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  • Try the Oracle Database Appliance Manager Configurator - For Fun!

    - by pwstephe-Oracle
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 If you would like to get a first hand glimpse of how easy it is to configure an ODA, even if you don’t have access to one, it’s possible to download the Appliance Manager Configurator from the Oracle Technology Network, and run it standalone on your PC or Linux/Unix  workstation. The configurator is packaged in a zip file that contains the complete Java environment to run standalone. Once the package is downloaded and unzipped it’s simply a matter of launching it using the config command or shell depending on your runtime environment. Oracle Appliance Manager Configurator is a Java-based tool that enables you to input your deployment plan and validate your network settings before an actual deployment, or you can just preview and experiment with it. Simply download and run the configurator on a local client system which can be a Windows, Linux, or UNIX system. (For Windows launch the batch file config.bat for Linux/Unix environments, run  ./ config.sh). You will be presented with the very same dialogs and options used to configure a production ODA but on your workstation. At the end of a configurator session, you may save your deployment plan in a configuration file. If you were actually ready to deploy, you could copy this configuration file to a real ODA where the online Oracle Appliance Manager Configurator would use the contents to deploy your plan in production. You may also print the file’s content and use the printout as a checklist for setting up your production external network configuration. Be sure to use the actual production network addresses you intend to use it as this will only work correctly if your client system is connected to same network that will be used for the ODA. (This step is not necessary if you are just previewing the Configurator). This is a great way to get an introductory look at the simple and intuitive Database Appliance configuration interface and the steps to configure a system. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Optimal Data Structure for our own API

    - by vermiculus
    I'm in the early stages of writing an Emacs major mode for the Stack Exchange network; if you use Emacs regularly, this will benefit you in the end. In order to minimize the number of calls made to Stack Exchange's API (capped at 10000 per IP per day) and to just be a generally responsible citizen, I want to cache the information I receive from the network and store it in memory, waiting to be accessed again. I'm really stuck as to what data structure to store this information in. Obviously, it is going to be a list. However, as with any data structure, the choice must be determined by what data is being stored and what how it will be accessed. What, I would like to be able to store all of this information in a single symbol such as stack-api/cache. So, without further ado, stack-api/cache is a list of conses keyed by last update: `(<csite> <csite> <csite>) where <csite> would be (1362501715 . <site>) At this point, all we've done is define a simple association list. Of course, we must go deeper. Each <site> is a list of the API parameter (unique) followed by a list questions: `("codereview" <cquestion> <cquestion> <cquestion>) Each <cquestion> is, you guessed it, a cons of questions with their last update time: `(1362501715 <question>) (1362501720 . <question>) <question> is a cons of a question structure and a list of answers (again, consed with their last update time): `(<question-structure> <canswer> <canswer> <canswer> and ` `(1362501715 . <answer-structure>) This data structure is likely most accurately described as a tree, but I don't know if there's a better way to do this considering the language, Emacs Lisp (which isn't all that different from the Lisp you know and love at all). The explicit conses are likely unnecessary, but it helps my brain wrap around it better. I'm pretty sure a <csite>, for example, would just turn into (<epoch-time> <api-param> <cquestion> <cquestion> ...) Concerns: Does storing data in a potentially huge structure like this have any performance trade-offs for the system? I would like to avoid storing extraneous data, but I've done what I could and I don't think the dataset is that large in the first place (for normal use) since it's all just human-readable text in reasonable proportion. (I'm planning on culling old data using the times at the head of the list; each inherits its last-update time from its children and so-on down the tree. To what extent this cull should take place: I'm not sure.) Does storing data like this have any performance trade-offs for that which must use it? That is, will set and retrieve operations suffer from the size of the list? Do you have any other suggestions as to what a better structure might look like?

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  • How to parse a CSV file containing serialized PHP? [migrated]

    - by garbetjie
    I've just started dabbling in Perl, to try and gain some exposure to different programming languages - so forgive me if some of the following code is horrendous. I needed a quick and dirty CSV parser that could receive a CSV file, and split it into file batches containing "X" number of CSV lines (taking into account that entries could contain embedded newlines). I came up with a working solution, and it was going along just fine. However, as one of the CSV files that I'm trying to split, I came across one that contains serialized PHP code. This seems to break the CSV parsing. As soon as I remove the serialization - the CSV file is parsed correctly. Are there any tricks I need to know when it comes to parsing serialized data in CSV files? Here is a shortened sample of the code: use strict; use warnings; my $csv = Text::CSV_XS->new({ eol => $/, always_quote => 1, binary => 1 }); my $out; my $in; open $in, "<:encoding(utf8)", "infile.csv" or die("cannot open input file $inputfile"); open $out, ">outfile.000"; binmode($out, ":utf8"); while (my $line = $csv->getline($in)) { $lines++; $csv->print($out, $line); } I'm never able to get into the while loop shown above. As soon as I remove the serialized data, I suddenly am able to get into the loop. Edit: An example of a line that is causing me trouble (taken straight from Vim - hence the ^M): "26","other","1","20,000 Subscriber Plan","Some text here.^M\ Some more text","on","","18","","0","","0","0","recurring","0","","payment","totalsend","0","tsadmin","R34bL9oq","37","0","0","","","","","","","","","","","","","","","","","","","","","","","0","0","0","a:18:{i:0;s:1:\"3\";i:1;s:1:\"2\";i:2;s:2:\"59\";i:3;s:2:\"60\";i:4;s:2:\"61\";i:5;s:2:\"62\";i:6;s:2:\"63\";i:7;s:2:\"64\";i:8;s:2:\"65\";i:9;s:2:\"66\";i:10;s:2:\"67\";i:11;s:2:\"68\";i:12;s:2:\"69\";i:13;s:2:\"70\";i:14;s:2:\"71\";i:15;s:2:\"72\";i:16;s:2:\"73\";i:17;s:2:\"74\";}","","","0","0","","0","0","0.0000","0.0000","0","","","0.00","","6","1" "27","other","1","35,000 Subscriber Plan","Some test here.^M\ Some more text","on","","18","","0","","0","0","recurring","0","","payment","totalsend","0","tsadmin","R34bL9oq","38","0","0","","","","","","","","","","","","","","","","","","","","","","","0","0","0","a:18:{i:0;s:1:\"3\";i:1;s:1:\"2\";i:2;s:2:\"59\";i:3;s:2:\"60\";i:4;s:2:\"61\";i:5;s:2:\"62\";i:6;s:2:\"63\";i:7;s:2:\"64\";i:8;s:2:\"65\";i:9;s:2:\"66\";i:10;s:2:\"67\";i:11;s:2:\"68\";i:12;s:2:\"69\";i:13;s:2:\"70\";i:14;s:2:\"71\";i:15;s:2:\"72\";i:16;s:2:\"73\";i:17;s:2:\"74\";}","","","0","0","","0","0","0.0000","0.0000","0","","","0.00","","7","1" "28","other","1","50,000 Subscriber Plan","Some text here.^M\ Some more text","on","","18","","0","","0","0","recurring","0","","payment","totalsend","0","tsadmin","R34bL9oq","39","0","0","","","","","","","","","","","","","","","","","","","","","","","0","0","0","a:18:{i:0;s:1:\"3\";i:1;s:1:\"2\";i:2;s:2:\"59\";i:3;s:2:\"60\";i:4;s:2:\"61\";i:5;s:2:\"62\";i:6;s:2:\"63\";i:7;s:2:\"64\";i:8;s:2:\"65\";i:9;s:2:\"66\";i:10;s:2:\"67\";i:11;s:2:\"68\";i:12;s:2:\"69\";i:13;s:2:\"70\";i:14;s:2:\"71\";i:15;s:2:\"72\";i:16;s:2:\"73\";i:17;s:2:\"74\";}","","","0","0","","0","0","0.0000","0.0000","0","","","0.00","","8","1""73","other","8","10,000,000","","","","0","","0","","0","0","recurring","0","","payment","","0","","","75","0","10000000","","","","","","","","","","","","","","","","","","","","","","","0","0","0","a:17:{i:0;s:1:\"3\";i:1;s:1:\"2\";i:2;s:2:\"59\";i:3;s:2:\"60\";i:4;s:2:\"61\";i:5;s:2:\"62\";i:6;s:2:\"63\";i:7;s:2:\"64\";i:8;s:2:\"65\";i:9;s:2:\"66\";i:10;s:2:\"67\";i:11;s:2:\"68\";i:12;s:2:\"69\";i:13;s:2:\"70\";i:14;s:2:\"71\";i:15;s:2:\"72\";i:16;s:2:\"74\";}","","","0","0","","0","0","0.0000","0.0000","0","","","0.00","","14","0"

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  • installer can't find partition, but fdisk can find them

    - by pxd
    I'm installing ubuntu 12.04, my system had install 2 system -- winxp and ubuntu 10.10. Now, I want to update ubuntu to 12.04. I use usb disk to install 12.04. But, the installer can't not find my partition in my harddisk. But, the fdisk can find them. Can you help me? How to do? ubuntu@ubuntu:~$ sudo lshw -short H/W path Device Class Description system HP 2230s (NN868PA#AB2) /0 bus 3037 /0/9 memory 64KiB BIOS /0/0 processor Intel(R) Core(TM)2 Duo CPU T6570 @ 2.10GHz /0/0/1 memory 2MiB L2 cache /0/0/3 memory 32KiB L1 cache /0/0/0.1 processor Logical CPU /0/0/0.2 processor Logical CPU /0/2 memory 32KiB L1 cache /0/4 memory 2GiB System Memory /0/4/0 memory SODIMM [empty] /0/4/1 memory 2GiB SODIMM DDR2 Synchronous 800 MHz (1.2 ns) /0/100 bridge Mobile 4 Series Chipset Memory Controller Hub /0/100/2 display Mobile 4 Series Chipset Integrated Graphics Controller /0/100/2.1 display Mobile 4 Series Chipset Integrated Graphics Controller /0/100/1a bus 82801I (ICH9 Family) USB UHCI Controller #4 /0/100/1a.1 bus 82801I (ICH9 Family) USB UHCI Controller #5 /0/100/1a.2 bus 82801I (ICH9 Family) USB UHCI Controller #6 /0/100/1a.7 bus 82801I (ICH9 Family) USB2 EHCI Controller #2 /0/100/1b multimedia 82801I (ICH9 Family) HD Audio Controller /0/100/1c bridge 82801I (ICH9 Family) PCI Express Port 1 /0/100/1c.1 bridge 82801I (ICH9 Family) PCI Express Port 2 /0/100/1c.1/0 wlan1 network PRO/Wireless 5100 AGN [Shiloh] Network Connection /0/100/1c.2 bridge 82801I (ICH9 Family) PCI Express Port 3 /0/100/1c.4 bridge 82801I (ICH9 Family) PCI Express Port 5 /0/100/1c.5 bridge 82801I (ICH9 Family) PCI Express Port 6 /0/100/1c.5/0 eth1 network 88E8072 PCI-E Gigabit Ethernet Controller /0/100/1d bus 82801I (ICH9 Family) USB UHCI Controller #1 /0/100/1d.1 bus 82801I (ICH9 Family) USB UHCI Controller #2 /0/100/1d.2 bus 82801I (ICH9 Family) USB UHCI Controller #3 /0/100/1d.7 bus 82801I (ICH9 Family) USB2 EHCI Controller #1 /0/100/1e bridge 82801 Mobile PCI Bridge /0/100/1f bridge ICH9M LPC Interface Controller /0/100/1f.2 scsi0 storage 82801IBM/IEM (ICH9M/ICH9M-E) 4 port SATA Controller [AHCI mode] /0/100/1f.2/0 /dev/sda disk 500GB WDC WD5000BEVT-0 /0/100/1f.2/0/1 /dev/sda1 volume 48GiB Windows NTFS volume /0/100/1f.2/0/2 /dev/sda2 volume 416GiB Extended partition /0/100/1f.2/0/2/5 /dev/sda5 volume 97GiB HPFS/NTFS partition /0/100/1f.2/0/2/6 /dev/sda6 volume 198GiB HPFS/NTFS partition /0/100/1f.2/0/2/7 /dev/sda7 volume 27GiB Linux filesystem partition /0/100/1f.2/0/2/8 /dev/sda8 volume 93GiB Linux filesystem partition /0/100/1f.2/1 /dev/cdrom disk CDDVDW TS-L633M /0/1 scsi6 storage /0/1/0.0.0 /dev/sdb disk 15GB STORAGE DEVICE /0/1/0.0.0/0 /dev/sdb disk 15GB /0/1/0.0.0/0/1 /dev/sdb1 volume 14GiB Windows FAT volume /1 power HZ04037 ubuntu@ubuntu:~$ ubuntu@ubuntu:~$ sudo fdisk -l Disk /dev/sda: 500.1 GB, 500107862016 bytes 255 heads, 63 sectors/track, 60801 cylinders, total 976773168 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x31263125 Device Boot Start End Blocks Id System /dev/sda1 * 63 102277727 51138832+ 7 HPFS/NTFS/exFAT /dev/sda2 102277728 976784129 437253201 f W95 Ext'd (LBA) /dev/sda5 102277791 307078127 102400168+ 7 HPFS/NTFS/exFAT /dev/sda6 307078191 724141151 208531480+ 7 HPFS/NTFS/exFAT /dev/sda7 724142080 781459455 28658688 83 Linux /dev/sda8 781461504 976771071 97654784 83 Linux Disk /dev/sdb: 15.9 GB, 15931539456 bytes 64 heads, 32 sectors/track, 15193 cylinders, total 31116288 sectors Units = sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x0009eb92 Device Boot Start End Blocks Id Systemfile:///home/ubuntu/Pictures/Screenshot%20from%202012-07-07%2010:25:40.png /dev/sdb1 * 32 31115263 15557616 c W95 FAT32 (LBA) ubuntu 12.04 installer can't find the partition in my hard disk, only find device - /dev/sda.(sorry, I'm new user, so can't send image.)

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  • perl Client-SSL-Warning: Peer certificate not verified

    - by Jeremey
    I am having trouble with a perl screenscraper to an HTTPS site. In debugging, I ran the following: print $res->headers_as_string; and in the output, I have the following line: Client-SSL-Warning: Peer certificate not verified Is there a way I can auto-accept this certificate, or is that not the problem? #!/usr/bin/perl use LWP::UserAgent; use Crypt::SSLeay::CTX; use Crypt::SSLeay::Conn; use Crypt::SSLeay::X509; use LWP::Simple qw(get); my $ua = LWP::UserAgent->new; my $req = HTTP::Request->new(GET => 'https://vzw-cat.sun4.lightsurf.net/vzwcampaignadmin/'); my $res = $ua->request($req); print $res->headers_as_string; output: Cache-Control: no-cache Connection: close Date: Tue, 01 Jun 2010 19:28:08 GMT Pragma: No-cache Server: Apache Content-Type: text/html Expires: Wed, 31 Dec 1969 16:00:00 PST Client-Date: Tue, 01 Jun 2010 19:28:09 GMT Client-Peer: 64.152.68.114:443 Client-Response-Num: 1 Client-SSL-Cert-Issuer: /O=VeriSign Trust Network/OU=VeriSign, Inc./OU=VeriSign International Server CA - Class 3/OU=www.verisign.com/CPS Incorp.by Ref. LIABILITY LTD.(c)97 VeriSign Client-SSL-Cert-Subject: /C=US/ST=Massachusetts/L=Boston/O=verizon wireless/OU=TERMS OF USE AT WWW.VERISIGN.COM/RPA (C)00/CN=PSMSADMIN.VZW.COM Client-SSL-Cipher: DHE-RSA-AES256-SHA Client-SSL-Warning: Peer certificate not verified Client-Transfer-Encoding: chunked Link: <css/vtext_style.css>; rel="stylesheet"; type="text/css" Set-Cookie: JSESSIONID=DE6C99EA2F3DD1D4DF31456B94F16C90.vz3; Path=/vzwcampaignadmin; Secure Title: Verizon Wireless - Campaign Administrator

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  • Very slow performance deserializing using datacontractserializer in a Silverlight Application.

    - by caryden
    Here is the situation: Silverlight 3 Application hits an asp.net hosted WCF service to get a list of items to display in a grid. Once the list is brought down to the client it is cached in IsolatedStorage. This is done by using the DataContractSerializer to serialize all of these objects to a stream which is then zipped and then encrypted. When the application is relaunched, it first loads from the cache (reversing the process above) and the deserializes the objects using the DataContractSerializer.ReadObject() method. All of this was working wonderfully under all scenarios until recently with the entire "load from cache" path (decrypt/unzip/deserialize) taking hundreds of milliseconds at most. On some development machines but not all (all machines Windows 7) the deserialize process - that is the call to ReadObject(stream) takes several minutes an seems to lock up the entire machine BUT ONLY WHEN RUNNING IN THE DEBUGGER in VS2008. Running the Debug configuration code outside the debugger has no problem. One thing that seems to look suspicious is that when you turn on stop on Exceptions, you can see that the ReadObject() throws many, many System.FormatException's indicating that a number was not in the correct format. When I turn off "Just My Code" thousands of these get dumped to the screen. None go unhandled. These occur both on the read back from the cache AND on a deserialization at the conclusion of a web service call to get the data from the WCF Service. HOWEVER, these same exceptions occur on my laptop development machine that does not experience the slowness at all. And FWIW, my laptop is really old and my desktop is a 4 core, 6GB RAM beast. Again, no problems unless running under the debugger in VS2008. Anyone else seem this? Any thoughts? Here is the bug report link: https://connect.microsoft.com/VisualStudio/feedback/details/539609/very-slow-performance-deserializing-using-datacontractserializer-in-a-silverlight-application-only-in-debugger

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  • grails run-war connects to mysql but grails run-war doesn't

    - by damian
    Hi, I have a unexpected problem. I had create a war with grails war. Then I had deployed in Tomcat. For my surprise the crud works fine but I don't know what persistence is using. So I did this test: Compare grails prod run-app with grails prod run-war. The first works fine, and does conect with the mysql database. The other don't. This is my DataSource.groovy: dataSource { pooled = true driverClassName = "com.mysql.jdbc.Driver" username = "grails" password = "mysqlgrails" } hibernate { cache.use_second_level_cache=false cache.use_query_cache=false cache.provider_class='net.sf.ehcache.hibernate.EhCacheProvider' } // environment specific settings environments { development { dataSource { dbCreate = "update" // one of 'create', 'create-drop','update' url = "jdbc:mysql://some-key.amazonaws.com/MyDB" } } test { dataSource { dbCreate = "update" // one of 'create', 'create-drop','update' url = "jdbc:mysql://some-key.amazonaws.com/MyDB" } } production { dataSource { dbCreate = "update" url = "jdbc:mysql://some-key.amazonaws.com/MyDB" } } } Also I extract the war to see if I could find some data source configuration file without success. More info: Grails version: 1.2.1 JVM version: 1.6.0_17 Also I think this question it's similar, but doesn't have a awnser.

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  • Slow query with unexpected index scan

    - by zerkms
    Hello I have this query: SELECT * FROM sample INNER JOIN test ON sample.sample_number = test.sample_number INNER JOIN result ON test.test_number = result.test_number WHERE sampled_date BETWEEN '2010-03-17 09:00' AND '2010-03-17 12:00' the biggest table here is RESULT, contains 11.1M records. The left 2 tables about 1M. this query works slowly (more than 10 minutes) and returns about 800 records. executing plan shows clustered index scan (over it's PRIMARY KEY (result.result_number, which actually doesn't take part in query)) over all 11M records. RESULT.TEST_NUMBER is a clustered primary key. if I change 2010-03-17 09:00 to 2010-03-17 10:00 - i get about 40 records. it executes for 300ms. and plan shows index seek (over result.test_number index) if i replace * in SELECT clause to result.test_number (covered with index) - then all become fast in first case too. this points to hdd IO issues, but doesn't clarifies changing plan. so, any ideas? UPDATE: sampled_date is in table sample and covered by index. other fields from this query: test.sample_number is covered by index and result.test_number too. UPDATE 2: obviously than sql server in any reasons don't want to use index. i did a small experiment: i remove INNER JOIN with result, select all test.test_number and after that do SELECT * FROM RESULT WHERE TEST_NUMBER IN (...) this, of course, works fast. but i cannot get what is the difference and why query optimizer choose such inappropriate way to select data in 1st case.

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  • grails prod run-app connects to mysql but grails prod run-war doesn't

    - by damian
    Hi, I have a unexpected problem. I had create a war with grails war. Then I had deployed in Tomcat. For my surprise the crud works fine but I don't know what persistence is using. So I did this test: Compare grails prod run-app with grails prod run-war. The first works fine, and does conect with the mysql database. The other don't. This is my DataSource.groovy: dataSource { pooled = true driverClassName = "com.mysql.jdbc.Driver" username = "grails" password = "mysqlgrails" } hibernate { cache.use_second_level_cache=false cache.use_query_cache=false cache.provider_class='net.sf.ehcache.hibernate.EhCacheProvider' } // environment specific settings environments { development { dataSource { dbCreate = "update" // one of 'create', 'create-drop','update' url = "jdbc:mysql://some-key.amazonaws.com/MyDB" } } test { dataSource { dbCreate = "update" // one of 'create', 'create-drop','update' url = "jdbc:mysql://some-key.amazonaws.com/MyDB" } } production { dataSource { dbCreate = "update" url = "jdbc:mysql://some-key.amazonaws.com/MyDB" } } } Also I extract the war to see if I could find some data source configuration file without success. More info: Grails version: 1.2.1 JVM version: 1.6.0_17 Also I think this question it's similar, but doesn't have a awnser.

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  • Explicit behavior with checks vs. implicit behavior

    - by Silviu
    I'm not sure how to construct the question but I'm interested to know what do you guys think of the following situations and which one would you prefer. We're working at a client-server application with winforms. And we have a control that has some fields automatically calculated upon filling another field. So we're having a field currency which when filled by the user would determine an automatic filling of another field, maybe more fields. When the user fills the currency field, a Currency object would be retrieved from a cache based on the string introduced by the user. If entered currency is not found in the cache a null reference is returned by the cache object. Further down when asking the application layer to compute the other fields based on the currency, given a null currency a null specific field would be returned. This way the default, implicit behavior is to clear all fields. Which is the expected behavior. What i would call the explicit implementation would be to verify that the Currency object is null in which case the depending fields are cleared explicitly. I think that the latter version is more clear, less error prone and more testable. But it implies a form of redundancy. The former version is not as clear and it implies a certain behavior from the application layer which is not expressed in the tests. Maybe in the lower layer tests but when the need arises to modify the lower layers, so that given a null currency something else should be returned, i don't think a test that says just that without a motivation is going to be an impediment for introducing a bug in upper layers. What do you guys think?

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  • Update PEAR on MAMP MacOsX

    - by Jevgeni Smirnov
    Current I am trying to install phpunit on my mac os x and mamp server: pear config-set auto_discover 1 pear install pear.phpunit.de/PHPUnit Errors which I got during installation: Validation Error: This package.xml requires PEAR version 1.9.4 to parse properly, we are version 1.9.2 pear upgrade pear Nothing to upgrade UPDATE 1 This is my pear config. I assume that I messed up local and mamp installs(I didn't know that mamp also has pear, so I installed local one). I suppose something wrong with bin_dir, php_dir and other paths? Keefir-Samolet-iMac:MAMP jevgenismirnov$ pear config-show Configuration (channel pear.php.net): ===================================== Auto-discover new Channels auto_discover 1 Default Channel default_channel pear.php.net HTTP Proxy Server Address http_proxy PEAR server [DEPRECATED] master_server pear.php.net Default Channel Mirror preferred_mirror pear.php.net Remote Configuration File remote_config PEAR executables directory bin_dir /Users/jevgenismirnov/pear/bin PEAR documentation directory doc_dir /Users/jevgenismirnov/pear/docs PHP extension directory ext_dir /Applications/MAMP/bin/php/php5.3.6/lib/php/extensions/no-debug-non-zts-20090626/ PEAR directory php_dir /Users/jevgenismirnov/pear/share/pear PEAR Installer cache directory cache_dir /var/folders/k7/xpwbcbrs1xs8tlxjk5mvkwrr0000gp/T//pear/cache PEAR configuration file cfg_dir /Users/jevgenismirnov/pear/cfg directory PEAR data directory data_dir /Users/jevgenismirnov/pear/data PEAR Installer download download_dir /tmp/pear/install directory PHP CLI/CGI binary php_bin /Applications/MAMP/bin/php/php5.3.6/bin/php php.ini location php_ini --program-prefix passed to php_prefix PHP's ./configure --program-suffix passed to php_suffix PHP's ./configure PEAR Installer temp directory temp_dir /tmp/pear/install PEAR test directory test_dir /Users/jevgenismirnov/pear/tests PEAR www files directory www_dir /Users/jevgenismirnov/pear/www Cache TimeToLive cache_ttl 3600 Preferred Package State preferred_state stable Unix file mask umask 22 Debug Log Level verbose 1 PEAR password (for password maintainers) Signature Handling Program sig_bin /usr/local/bin/gpg Signature Key Directory sig_keydir /Applications/MAMP/bin/php/php5.3.6/conf/pearkeys Signature Key Id sig_keyid Package Signature Type sig_type gpg PEAR username (for username maintainers) User Configuration File Filename /Users/jevgenismirnov/.pearrc System Configuration File Filename /Applications/MAMP/bin/php/php5.3.6/conf/pear.conf

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  • Hibernate not releasing data base connections

    - by cedar715
    Following is the configuration details: <property name="hibernateProperties"> <props> <prop key="hibernate.dialect"> org.hibernate.dialect.Oracle9iDialect </prop> <prop key="hibernate.show_sql">false</prop> <prop key="hibernate.cache.provider_class"> org.hibernate.cache.OSCacheProvider </prop> <prop key="hibernate.cache.use_second_level_cache"> true </prop> <!-- <prop key="hibernate.hbm2ddl.auto">update</prop>--> <!-- HIBERNATE CONNECTION POOLING!!--> <prop key="c3p0.acquire_increment">5</prop> <prop key="c3p0.idle_test_period">100</prop> <!-- seconds --> <prop key="c3p0.max_statements">5</prop> <prop key="c3p0.min_size">15</prop> <prop key="c3p0.max_size">100</prop> <prop key="c3p0.timeout">100</prop> <!-- seconds --> </props> </property> Our application is developed through Spring & Hibernate. Once we bring the application up and hit it, its opening 140 connections and not releasing it. Our DAO looks like this: import org.springframework.orm.hibernate3.support.HibernateDaoSupport; ... public class ActionDAO extends HibernateDaoSupport implements IActionDAO { public Action findById(ActionPK actionPK) { return (Action) getHibernateTemplate().get(Action.class, actionPK); } public void add(Action action) { getHibernateTemplate().save(action); } }

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  • How to test an HTTP 301 redirect?

    - by NoozNooz42
    How can one easily test HTTP return codes, like, say, a 301 redirect? For example, if I want to "see what's going on", I can use telnet to do something like this: ... $ telnet nytimes.com 80 Trying 199.239.136.200... Connected to nytimes.com. Escape character is '^]'. GET / HTTP/1.0 (enter) (enter) HTTP/1.1 200 OK Server: Sun-ONE-Web-Server/6.1 Date: Mon, 14 Jun 2010 12:18:04 GMT Content-type: text/html Set-cookie: RMID=007af83f42dd4c161dfcce7d; expires=Tuesday, 14-Jun-2011 12:18:04 GMT; path=/; domain=.nytimes.com Set-cookie: adxcs=-; path=/; domain=.nytimes.com Set-cookie: adxcs=-; path=/; domain=.nytimes.com Set-cookie: adxcs=-; path=/; domain=.nytimes.com Expires: Thu, 01 Dec 1994 16:00:00 GMT Cache-control: no-cache Pragma: no-cache Connection: close <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head> ... Which is an easy way to access quite some infos. But now I want to test that a 301 redirect is indeed a 301 redirect. How can I do so? Basically, instead of getting a HTTP/1.1 200 OK I'd like to know how I can get the 301? I know that I can enter the name of the URL in a browser and "see" that I'm redirected, but I'd like to know what tool(s) can be used to actually really "see" the 301 redirect. Btw, I did test with a telnet, but when I enter www.example.org, which I redirected to example.org (without the www), all I can see is an "200 OK", I don't get to see the 301.

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  • Preventing iframe caching in browser

    - by Zarjay
    How do you prevent Firefox and Safari from caching iframe content? I have a simple webpage with an iframe to a page on a different site. Both the outer page and the inner page have HTTP response headers to prevent caching. When I click the "back" button in the browser, the outer page works properly, but no matter what, the browser always retrieves a cache of the iframed page. IE works just fine, but Firefox and Safari are giving me trouble. My webpage looks something like this: <html> <head><!-- stuff --></head> <body> <!-- stuff --> <iframe src="webpage2.html?var=xxx" /> <!-- stuff --> </body> </html> The var variable always changes. Despite the fact that the URL of the iframe has changed (and thus, the browser should be making a new request to that page), the browser just fetches the cached content. I've examined the HTTP requests and responses going back and forth, and I noticed that even if the outer page contains <iframe src="webpage2.html?var=222" />, the browser will still fetch webpage2.html?var=111. Here's what I've tried so far: Changing iframe URL with random var value Adding Expires, Cache-Control, and Pragma headers to outer webpage Adding Expires, Cache-Control, and Pragma headers to inner webpage I'm unable to do any JavaScript tricks because I'm blocked by the same-origin policy. I'm running out of ideas. Does anyone know how to stop the browser from caching the iframed content?

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  • How does GMail implement Comet?

    - by Morgan Cheng
    With the help of HttpWatch, I tried to figure out how GMail implement Comet. I Login in GMail with two account, one in IE and the other in Firefox. Chatting in GTalk in GMail with some magic words like "WASSUP". Then, I logoff both GMail accounts, filter any http content without "WASSUP" string. The result shows which HTTP request is the streaming channel. (Note: I have to logoff. Otherwise, never-ending HTTP would not show content in HttpWatch.) The result is interesting. The URL for stream channel is like: https://mail/channel/bind?VER=8&at=xn3j33vcvk39lkfq..... There is no surprise that GMail do Comet in IE with IFRAME. The Http content starts with " Originally, I guessed that GMail do Comet in Firefox with multipart XmlHttpRequest. To my surprise, the response header doesn't have "multipart/x-mixed-replace" header. The response headers are as below: HTTP/1.1 200 OK Content-Type: text/plain; charset=utf-8 Cache-Control: no-cache, no-store, max-age=0, must-revalidate Pragma: no-cache Expires: Fri, 01 Jan 1990 00:00:00 GMT Date: Sat, 20 Mar 2010 01:52:39 GMT X-Frame-Options: ALLOWALL Transfer-Encoding: chunked X-Content-Type-Options: nosniff Server: GSE X-XSS-Protection: 0 Unfortunately, the HttpWatch doesn't tell whether a HTTP request is from XmlHttpRequest or not. The content is not HTML but JSON. It looks like a response for XHR, but that would not work for Comet without multipart/x-mixed-replace, right? Is there any way else to figure out how GMail implement Comet? Thanks.

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  • jvm version for Websphere 6.1.0.23on Solaris

    - by dr jerry
    Hi I'm at big financial institute and we've an application running on Websphere 6.1. on Solaris. Due to MQ Connectivity we had to install fixpack 6.1.0.23. Unfortunately this broke an ejb (1.1) which is still there as legacy (Test missed it). [3/23/10 11:33:18:703 CET] 00000055 EJBContainerI E WSVR0068E: Attempt to start EnterpriseBean EventRisk_1.0.0#EventRiskEJB.jar#PolicyDataManager failed with exception: java.lang.NoSuchMethodError: com.ibm.ejs.csi.ResRefListImpl.(Lorg/eclipse/jst/j2ee/ejb/EnterpriseBean;Lcom/ibm/ejs/models/base/bindings/ejbbnd/EnterpriseBeanBinding;Lcom/ibm/ejs/models/base/extensions/ejbext/EnterpriseBeanExtension;)V at com.ibm.ws.metadata.ejb.EJBMDOrchestrator.finishBMDInit(EJBMDOrchestrator.java:1364) at com.ibm.ws.runtime.component.EJBContainerImpl.finishDeferredBeanMetaData(EJBContainerImpl.java:4829) at com.ibm.ws.runtime.component.EJBContainerImpl$3.run(EJBContainerImpl.java:4631) at java.security.AccessController.doPrivileged(Native Method) at com.ibm.ws.security.util.AccessController.doPrivileged(AccessController.java:125) at com.ibm.ws.runtime.component.EJBContainerImpl.initializeDeferredEJB(EJBContainerImpl.java:4627) at com.ibm.ejs.container.HomeOfHomes.getHome(HomeOfHomes.java:390) at com.ibm.ejs.container.HomeOfHomes.internalCreateWrapper(HomeOfHomes.java:938) at com.ibm.ejs.container.EJSContainer.createWrapper(EJSContainer.java:4783) at com.ibm.ejs.container.WrapperManager.faultOnKey(WrapperManager.java:545) at com.ibm.ejs.util.cache.Cache.findAndFault(Cache.java:498) at com.ibm.ejs.container.WrapperManager.keyToObject(WrapperManager.java:489) We cannot reproduce the issue on our desktop boxes (it all works fine there) and we do not have direct access to our the Solaris machines (dependent on the deployment department) we do suspect a discrepancy on the jvm but we're not sure. My question is two fold: can you confirm IBM's statement that fixpack 6.1.0.23 for solaris indeed runs on jvm 1.5.0_17b04 our installation tells us ./java -version java version "1.5.0_13" But deploy department is not eager to investigate. Do you see some other solution, apart from hiring big blue's con$ultancy? kind regards, Jeroen.

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  • Using httplib2 in python 3 properly? (Timeout problems)

    - by Sho Minamimoto
    Hey, first time post, I'm really stuck on httplib2. I've been reading up on it from diveintopython3.org, but it mentions nothing about a timeout function. I look up the documentation, but the only thing I see is an ability to put a timeout int but there are no units specified (seconds? milliseconds? What's the default if None?) This is what I have (I also have code to check what the response is and try again, but it's never tried more than once) h = httplib2.Http('.cache', timeout=None) for url in list: response, content = h.request(url) more stuff... So the Http object stays around until some arbitrary time, but I'm downloading a ton of pages from the same server, and after a while, it hangs on getting a page. No errors are thrown, the thing just hangs at a page. So then I try: h = httplib2.Http('.cache', timeout=None) for url in list: try: response, content = h.request(url) except: h = httplib2.Http('.cache', timeout=None) more stuff... But then it recreates another Http object every time (goes down the 'except' path)...I dont understand how to keep getting with the same object, until it expires and I make another. Also, is there a way to set a timeout on an individual request? Thanks for the help!

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  • Using a .MDF SQL Server Database with ASP.NET Versus Using SQL Server

    - by Maxim Z.
    I'm currently writing a website in ASP.NET MVC, and my database (which doesn't have any data in it yet, it only has the correct tables) uses SQL Server 2008, which I have installed on my development machine. I connect to the database out of my application by using the Server Explorer, followed by LINQ to SQL mapping. Once I finish developing the site, I will move it over to my hosting service, which is a virtual hosting plan. I'm concerned about whether using the SQL Server setup that is currently working on my development machine will be hard to do on the production server, as I'll have to import all the database tables through the hosting control panel. I've noticed that it is possible to create a SQL Server database from inside Visual Studio. It is then stored in the App_Data directory. My questions are the following: Does it make sense to move my SQL Server DB out of SQL Server and into the App_Data directory as an .mdf file? If so, how can I move it? I believe this is called the Detach command, is it not? Are there any performance/security issues that can occur with a .mdf file like this? Would my intended setup work OK with a typical virtual hosting plan? I'm hoping that the .mdf database won't count against the limited number of SQL Server databases that can be created with my plan. I hope this question isn't too broad. Thanks in advance! Note: I'm just starting out with ASP.NET MVC and all this, so I might be completely misunderstanding how this is supposed to work.

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