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  • OWB 11gR2 &ndash; Flexible and extensible

    - by David Allan
    The Oracle data integration extensibility capabilities are something I love, nothing more frustrating than a tool or platform that is very constraining. I think extensibility and flexibility are invaluable capabilities in the data integration arena. I liked Uli Bethke's posting on some extensibility capabilities with ODI (see Nesting ODI Substitution Method Calls here), he has some useful guidance on making customizations to existing KMs, nice to learn by example. I thought I'd illustrate the same capabilities with ODI's partner OWB for the OWB community. There is a whole new world of potential. The LKM/IKM/CKM/JKMs are the primary templates that are supported (plus the Oracle Target code template), so there is a lot of potential for customizing and extending the product in this release. Enough waffle... Diving in at the deep end from Uli's post, in OWB the table operator has a number of additional properties in OWB 11gR2 that let you annotate the column usage with ODI-like properties such as the slowly changing usage or for your own user-defined purpose as in Uli's post, below you see for the target table SALES_TARGET we can use the UD5 property which when assigned the code template (knowledge module) which has been modified with Uli's change we can do custom things such as creating indices - provides The code template used by the mapping has the additional step which is basically the code illustrated from Uli's posting just used directly, the ODI 10g substitution references also supported from within OWB's runtime. Now to see whether this does what we expect before we execute it, we can check out the generated code similar to how the traditional mapping generation and preview works, you do this by clicking on the 'Inspect Code' button on the execution units code template assignment. This then  creates another tab with prefix 'Code - <mapping name>' where the generated code is put, scrolling down we find the last step with the indices being created, looks good, so we are ready to deploy and execute. After executing the mapping we can then use the 'Audit Information' panel (select the mapping in the designer tree and click on View/Audit Information), this gives us a view of the execution where we can drill into the tasks that were executed and inspect both the template and the generated code that was executed and any potential errors. Reflecting back on earlier versions of OWB, these were the kinds of features that were always highly desirable, getting under the hood of the code generation and tweaking bit and pieces - fun and powerful stuff! We can step it up a bit here and explore some further ideas. The example below is a daisy-chained set of execution units where the intermediate table is a target of one unit and the source for another. We want that table to be a global temporary table, so can tweak the templates. Back to the copy of SQL Control Append (for demo purposes) we modify the create target table step to make the table a global temporary table, with the option of on commit preserve rows. You can get a feel for some of the customizations and changes possible, providing some great flexibility and extensibility for the data integration tools.

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  • Class Design -- Multiple Calls from One Method or One Call from Multiple Methods?

    - by Andrew
    I've been working on some code recently that interfaces with a CMS we use and it's presented me with a question on class design that I think is applicable in a number of situations. Essentially, what I am doing is extracting information from the CMS and transforming this information into objects that I can use programatically for other purposes. This consists of two steps: Retrieve the data from the CMS (we have a DAL that I use, so this is essentially just specifying what data from the CMS I want--no connection logic or anything like that) Map the parsed data to my own [C#] objects There are basically two ways I can approach this: One call from multiple methods public void MainMethodWhereIDoStuff() { IEnumerable<MyObject> myObjects = GetMyObjects(); // Do other stuff with myObjects } private static IEnumerable<MyObject> GetMyObjects() { IEnumerable<CmsDataItem> cmsDataItems = GetCmsDataItems(); List<MyObject> mappedObjects = new List<MyObject>(); // do stuff to map the CmsDataItems to MyObjects return mappedObjects; } private static IEnumerable<CmsDataItem> GetCmsDataItems() { List<CmsDataItem> cmsDataItems = new List<CmsDataItem>(); // do stuff to get the CmsDataItems I want return cmsDataItems; } Multiple calls from one method public void MainMethodWhereIDoStuff() { IEnumerable<CmsDataItem> cmsDataItems = GetCmsDataItems(); IEnumerable<MyObject> myObjects = GetMyObjects(cmsDataItems); // do stuff with myObjects } private static IEnumerable<MyObject> GetMyObjects(IEnumerable<CmsDataItem> itemsToMap) { // ... } private static IEnumerable<CmsDataItem> GetCmsDataItems() { // ... } I am tempted to say that the latter is better than the former, as GetMyObjects does not depend on GetCmsDataItems, and it is explicit in the calling method the steps that are executed to retrieve the objects (I'm concerned that the first approach is kind of an object-oriented version of spaghetti code). On the other hand, the two helper methods are never going to be used outside of the class, so I'm not sure if it really matters whether one depends on the other. Furthermore, I like the fact that in the first approach the objects can be retrieved from one line-- most likely anyone working with the main method doesn't care how the objects are retrieved, they just need to retrieve the objects, and the "daisy chained" helper methods hide the exact steps needed to retrieve them (in practice, I actually have a few more methods but am still able to retrieve the object collection I want in one line). Is one of these methods right and the other wrong? Or is it simply a matter of preference or context dependent?

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  • WIF, ADFS 2 and WCF&ndash;Part 1: Overview

    - by Your DisplayName here!
    A lot has been written already about passive federation and integration of WIF and ADFS 2 into web apps. The whole active/WS-Trust feature area is much less documented or covered in articles and blogs. Over the next few posts I will try to compile all relevant information about the above topics – but let’s start with an overview. ADFS 2 has a number of endpoints under the /services/trust base address that implement the WS-Trust protocol. They are grouped by the WS-Trust version they support (/13 and /2005), the client credential type (/windows*, /username*, /certificate*) and the security mode (*transport, *mixed and message). You can see the endpoints in the MMC console under the Service/Endpoints page. So in other words, you use one of these endpoints (which exactly depends on your configuration / system setup) to request tokens from ADFS 2. The bindings behind the endpoints are more or less standard WCF bindings, but with SecureConversation (establishSecurityContext) disabled. That means that whenever you need to programmatically talk to these endpoints – you can (easily) create client bindings that are compatible. Another option is to use the special bindings that come with WIF (in the Microsoft.IdentityModel.Protocols.WSTrust.Bindings namespace). They are already pre-configured to be compatible with the ADFS endpoints. The downside of these bindings is, that you can’t use them in configuration. That’s definitely a feature request of mine for the next version of WIF. The next important piece of information is the so called Federation Service Identifier. This is the value that you (at least by default) have to use as a realm/appliesTo whenever you are requesting a token for ADFS (e.g. in  IdP –> RSTS scenario). Or (even more) technically speaking, ADFS 2 checks for this value in the audience URI restriction in SAML tokens. You can get to this value by clicking the “Edit Federation Service Properties” in the MMC when the Service tree-node is selected. OK – I will come back to this basic information in the following posts. Basically I want to go through the following scenarios: ADFS in the IdP role ADFS in the R-STS role (with a chained claims provider) Using the WCF bindings for automatic token issuance Using WSTrustChannelFactory for manual token handling Stay tuned…

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  • How to keep a data structure synchronized over a network?

    - by David Gouveia
    Context In the game I'm working on (a sort of a point and click graphic adventure), pretty much everything that happens in the game world is controlled by an action manager that is structured a bit like: So for instance if the result of examining an object should make the character say hello, walk a bit and then sit down, I simply spawn the following code: var actionGroup = actionManager.CreateGroup(); actionGroup.Add(new TalkAction("Guybrush", "Hello there!"); actionGroup.Add(new WalkAction("Guybrush", new Vector2(300, 300)); actionGroup.Add(new SetAnimationAction("Guybrush", "Sit")); This creates a new action group (an entire line in the image above) and adds it to the manager. All of the groups are executed in parallel, but actions within each group are chained together so that the second one only starts after the first one finishes. When the last action in a group finishes, the group is destroyed. Problem Now I need to replicate this information across a network, so that in a multiplayer session, all players see the same thing. Serializing the individual actions is not the problem. But I'm an absolute beginner when it comes to networking and I have a few questions. I think for the sake of simplicity in this discussion we can abstract the action manager component to being simply: var actionManager = new List<List<string>>(); How should I proceed to keep the contents of the above data structure syncronized between all players? Besides the core question, I'm also having a few other concerns related to it (i.e. all possible implications of the same problem above): If I use a server/client architecture (with one of the players acting as both a server and a client), and one of the clients has spawned a group of actions, should he add them directly to the manager, or only send a request to the server, which in turn will order every client to add that group? What about packet losses and the like? The game is deterministic, but I'm thinking that any discrepancy in the sequence of actions executed in a client could lead to inconsistent states of the world. How do I safeguard against that sort of problem? What if I add too many actions at once, won't that cause problems for the connection? Any way to alleviate that?

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  • How can I calculate power consumption of my PC in Watt?

    - by Jitendra vyas
    How can I calculate power consumption of my PC in Watt, to prove my House owner ( I live on rent) , my PC doesn't consume much power? He blames me for Huge power bills even he too use Fridge, A.C. etc and his son watch the TV all the time. We both share one Power meter so for bill we pay 50%-50% but He is saying I use PC all the time even night i keep on for downloading. I just want to calculate power consumption of my PC then will calculate monthly expense of unit as per my City's per unit price for power. I've Windows: Microsoft Windows XP Professional 5.1.2600 Service Pack 3 Memory (RAM): 960 MB CPU Info: AMD Sempron(tm) Processor 2500+ CPU Speed: 1399.0 MHz Sound card: Vinyl AC'97 Audio (WAVE) Display Adapters: VIA/S3G UniChrome Pro IGP | NetMeeting driver | RDPDD Chained DD Monitors: 1 - 17inch LCD - LG Screen Resolution: 1280 X 768 - 32 bit Network: Network Present Network Adapters: Bluetooth Device (Personal Area Network) #2 | WAN (PPP/SLIP) Interface CD / DVD Drives: I: ELBY CLONEDRIVE COM Ports: COM1 | COM2 | COM7 | COM8 | COM9 | COM10 LPT Ports: LPT1 Mouse: 3 Button Wheel Mouse Present Hard Disks: C: 29.3GB | D: 29.3GB | E: 97.7GB | F: 97.7GB | G: 211.9GB USB Controllers: 5 host controllers. Firewire (1394): 1 host controllers. Manufacturer: Phoenix Technologies, LTD Product Make: MS-7142 AC Power Status: OnLine BIOS Info: AT/AT COMPATIBLE | 01/18/06 | VIAK8M - 42302e31 Motherboard: MICRO-STAR INTERNATIONAL CO., LTD MS-7142 Modem: ZTE USB Modem FFFE CDMA #2

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  • fail2ban log parsing too slow on Raspberry Pi - options? [migrated]

    - by Gordon Morehouse
    I'm running fail2ban on a Raspberry Pi at 950MHz which I cannot overclock further. The Pi is occasionally subject to SYN floods on particular ports. I've set up iptables to throttle the rate of SYNs on the port of interest; when the throttle limits are exceeded, hosts which send SYNs are dropped into the REJECT chain and the particular SYN packet which exceeded the limit is logged. fail2ban then watches for these logged SYNs and, after seeing a few, temporarily bans the host for a short time (this is a transient issue in the app I'm working with). The problem is that the SYN floods can occasionally reach rates which are too fast for fail2ban to keep up with; I'll see 20-40 log messages per second, and eventually fail2ban falls behind and becomes ineffective. To add insult to injury, it continues consuming a LOT of CPU as it tries to catch up. I have verified that DROP chained packets from hosts already banned by fail2ban are not logged, and thus do not add to its load. What are my options here? I have a few ideas, but no clear path forward. Could I make the log-parse regex "easier" so it takes fewer cycles? Would using iptables --log-prefix to put a token near the start of the log message, and/or otherwise simplifying/altering the fail2ban regex help? Here is the current fail2ban config line containing a regex: failregex = kernel:.*?SRC=(?:::f{4,6}:)?(?P<host>[\w\-.^_]+) DST.*?SYN Is there a faster way for fail2ban to watch for the packets exceeding the limits than parsing kern.log? Could fail2ban be run under PyPy instead of CPython with minimal nonstandard wizardry (the OS is Raspbian 7, so, mostly Debian 7)? Is there something better than fail2ban that I could use to watch for the packets which exceed the SYN limits, and after N exceeds in X seconds, temporarily put the offending IP into the iptables DROP bucket, and take it out when the ban timer expires? Again, I'd vastly prefer a solution that uses as much software available in Debian as possible, though I can build Debian packages in a pinch.

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  • Virtualbox - differencing disk based on different differencing disk

    - by Klinki
    I'm trying to create differencing image based on differencing image in VirtualBox 4.2.18. Official documentation says it should be possible: http://www.virtualbox.org/manual/ch05.html#diffimages Basically I want to achieve this drive hierarchy: + immutable image with Debian and all software installed +---- differencing image with specific configuration, autoreset=off, readonly +-------- differencing image with autoreset=on +---- another differencing image for different virtual machine +-------- differencing image with autoreset=on I successfully created differencing image based on differencing image, but I'm not able to connect it to virtual machine :( It always shows error: Failed to open the hard disk .... cannot register hard disk ... because hard disk with UUID ... already exists Here is screenshot of Virtual Media Manager and error dialog Virtual Media Manager Window screenshot Very strange is that the new differencing image (tempdrive.vdi) doesn't have Actual Size 0. I wasn't able to connect it, but still, it has 36KB of data on it... This is very similar to this older question: How to create a chained differencing disk of another differencing disk in Virtual Box? but suggested solution is not working anymore in VirtualBox 4.2.18, so I posted it as a new question. (Limit for posting links and screenshots is quite annoying..)

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  • Haproxy not properly passing on X-Forwarded-For header

    - by JesseP
    I have backend web servers that receive requests by way of haproxy-nginx-fastcgi. The web app used to see multiple ip's coming through in the X-Forwarded-For header, chained together with commas (most original IP on the left). At some point in the recent past (just noticed, so not sure what caused it) something changed, and now I'm only seeing a single IP passed in the header to my web application. I've tried with haproxy 1.4.21 and 1.4.22 (recent upgrade) with the same behavior. Haproxy has the forwardfor header set: option forwardfor Nginx fastcgi_params config defines this header to be passed to the app: fastcgi_param HTTP_X_FORWARDED_FOR $http_x_forwarded_for; Anyone have any ideas on what might be going wrong here? EDIT: I just started logging the $http_x_forwarded_for variable in nginx logs, and nginx is only ever seeing a single IP, which shouldn't ever be the case, as we should always see our haproxy ip added in there, right? So, issue must either be in nginx handling of the variable coming in, or haproxy not building it properly. I'll keep digging... EDIT #2: I enabled request and response header logging in HAProxy, and it is not spitting anything out for X-Forwarded-For, which seems very odd: Oct 10 10:49:01 newark-lb1 haproxy[19989]: 66.87.95.74:47497 [10/Oct/2012:10:49:01.467] http service/newark2 0/0/0/16/40 301 574 - - ---- 4/4/3/0/0 0/0 {} {} "GET /2zi HTTP/1.1" O Here are the options i set for this in my frontend: mode http option httplog capture request header X-Forwarded-For len 25 capture response header X-Forwarded-For len 25 option httpclose option forwardfor EDIT #3: It really seems like haproxy is munging the header and just passing on a single one to the backend. This is fairly impacting to our production service, so if anyone has an ideas it would be greatly appreciated. I'm stumped... :(

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  • Port mirroring on multiple switches

    - by Matt
    So here is the deal, I have a server on switch A where port 3 is monitoring traffic for most of the ports on switch A. However I have other users on switch B that needs to have port 3 on switch A monitor as well. Is this possible? I have been reading about rspan but doesnt seem to work. Switch A: monitor session 1 source interface fast0/1 - 2 monitor session 1 source interface fast0/4 - 46 monitor session 1 destination interface fast0/3 (this works great for switch A, I need a solution to get switch B to also have some ports sent to port 3 on switch A for monitoring.) Onxx, All the traffic on switch A is fine, there will be about 10-15 ports on switch B that I need to send to fa0/3 on switch A as the destination. I have the switches connected with a ethernet cable with a trunk port on both switches on port 48 on switch B and A and port 47 on A connects to our sonicwall. So I am assuming they are daisy chained? What if I did the following: Switch A monitor session 1 source interface fast0/1 - 2 monitor session 1 source interface fast0/4 - 46 monitor session 1 destination interface fast0/3 Put all of the ports on vlan 10 because I made an rspan vlan 10 On switch B monitor the ports I need will say 1-10 monitor session 1 source interface fast0/1 - 10 monitor session 1 destination remote vlan 10 as a prerequisite I would have created vlan 10 as a rspan vlan on switch B. Switch A Monitor session 1 destination remote vlan 10 Would this work? By the way I am working with cisco catalyst 3560 switches.

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  • Router(s) Issue: DNS quries sporadically fail with multiple computers hooked in

    - by bob-the-destroyer
    Basically, after anywhere from 5-60 minutes, DNS queries fail for a few minutes, then slowly begin to resolve correctly. Then the cycle repeats. This occurs only when more than one computer is on the network. All computers on the network experiences the same sporadic DNS outage at the same time. Wireless or wired, Linux or Windows, fresh OS install or old, browser or ping, same symptoms. Duplicated on 3 routers (not chained together, mind you) and 3 ISP's and 3 separate locations over the past several months. The only common theme is a single 5-yo WIN XP laptop which has been in use on the network throughout all this. There also may be anywhere between 1 - 10 devices hooked up wired or wirelessly at a time. The only reprieve I have from this torture is by using any VPN to an outside source - always smooth sailing. I typically set up any router to a) use WPA2/etc security; b) MAC whitelist; c) UPNP OFF (if available); d) always update firmware when available; e) obtain DNS from ISP automatically; f) set the router to act as DHCP server for the internal network. Adjusting channels has no effect. Any ideas?

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  • Spring Security Configuration Leads to Perpetual Authentication Request

    - by Sammy
    Hello, I have configured my web application with the following config file: <beans xmlns="http://www.springframework.org/schema/beans" xmlns:security="http://www.springframework.org/schema/security" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/security http://www.springframework.org/schema/security/spring-security-3.0.xsd"> <security:global-method-security secured-annotations="enabled" pre-post-annotations="enabled" /> <!-- Filter chain; this is referred to from the web.xml file. Each filter is defined and configured as a bean later on. --> <!-- Note: anonumousProcessingFilter removed. --> <bean id="filterChainProxy" class="org.springframework.security.web.FilterChainProxy"> <security:filter-chain-map path-type="ant"> <security:filter-chain pattern="/**" filters="securityContextPersistenceFilter, basicAuthenticationFilter, exceptionTranslationFilter, filterSecurityInterceptor" /> </security:filter-chain-map> </bean> <!-- This filter is responsible for session management, or rather the lack thereof. --> <bean id="securityContextPersistenceFilter" class="org.springframework.security.web.context.SecurityContextPersistenceFilter"> <property name="securityContextRepository"> <bean class="org.springframework.security.web.context.HttpSessionSecurityContextRepository"> <property name="allowSessionCreation" value="false" /> </bean> </property> </bean> <!-- Basic authentication filter. --> <bean id="basicAuthenticationFilter" class="org.springframework.security.web.authentication.www.BasicAuthenticationFilter"> <property name="authenticationManager" ref="authenticationManager" /> <property name="authenticationEntryPoint" ref="authenticationEntryPoint" /> </bean> <!-- Basic authentication entry point. --> <bean id="authenticationEntryPoint" class="org.springframework.security.web.authentication.www.BasicAuthenticationEntryPoint"> <property name="realmName" value="Ayudo Web Service" /> </bean> <!-- An anonymous authentication filter, which is chained after the normal authentication mechanisms and automatically adds an AnonymousAuthenticationToken to the SecurityContextHolder if there is no existing Authentication held there. --> <!-- <bean id="anonymousProcessingFilter" class="org.springframework.security.web.authentication.AnonymousProcessingFilter"> <property name="key" value="ayudo" /> <property name="userAttribute" value="anonymousUser, ROLE_ANONYMOUS" /> </bean> --> <!-- Authentication manager that chains our main authentication provider and anonymous authentication provider. --> <bean id="authenticationManager" class="org.springframework.security.authentication.ProviderManager"> <property name="providers"> <list> <ref local="daoAuthenticationProvider" /> <ref local="inMemoryAuthenticationProvider" /> <!-- <ref local="anonymousAuthenticationProvider" /> --> </list> </property> </bean> <!-- Main authentication provider; in this case, memory implementation. --> <bean id="inMemoryAuthenticationProvider" class="org.springframework.security.authentication.dao.DaoAuthenticationProvider"> <property name="userDetailsService" ref="propertiesUserDetails" /> </bean> <security:user-service id="propertiesUserDetails" properties="classpath:operators.properties" /> <!-- Main authentication provider. --> <bean id="daoAuthenticationProvider" class="org.springframework.security.authentication.dao.DaoAuthenticationProvider"> <property name="userDetailsService" ref="userDetailsService" /> </bean> <!-- An anonymous authentication provider which is chained into the ProviderManager so that AnonymousAuthenticationTokens are accepted. --> <!-- <bean id="anonymousAuthenticationProvider" class="org.springframework.security.authentication.AnonymousAuthenticationProvider"> <property name="key" value="ayudo" /> </bean> --> <bean id="userDetailsService" class="org.springframework.security.core.userdetails.jdbc.JdbcDaoImpl"> <property name="dataSource" ref="dataSource" /> </bean> <bean id="exceptionTranslationFilter" class="org.springframework.security.web.access.ExceptionTranslationFilter"> <property name="authenticationEntryPoint" ref="authenticationEntryPoint" /> <property name="accessDeniedHandler"> <bean class="org.springframework.security.web.access.AccessDeniedHandlerImpl" /> </property> </bean> <bean id="filterSecurityInterceptor" class="org.springframework.security.web.access.intercept.FilterSecurityInterceptor"> <property name="securityMetadataSource"> <security:filter-security-metadata-source use-expressions="true"> <security:intercept-url pattern="/*.html" access="permitAll" /> <security:intercept-url pattern="/version" access="permitAll" /> <security:intercept-url pattern="/users/activate" access="permitAll" /> <security:intercept-url pattern="/**" access="isAuthenticated()" /> </security:filter-security-metadata-source> </property> <property name="authenticationManager" ref="authenticationManager" /> <property name="accessDecisionManager" ref="accessDecisionManager" /> </bean> <bean id="accessDecisionManager" class="org.springframework.security.access.vote.AffirmativeBased"> <property name="decisionVoters"> <list> <bean class="org.springframework.security.access.vote.RoleVoter" /> <bean class="org.springframework.security.web.access.expression.WebExpressionVoter" /> </list> </property> </bean> As soon as I run my application on tomcat, I get a request for username/password basic authentication dialog. Even when I try to access: localhost:8080/myapp/version, which is explicitly set to permitAll, I get the authentication request dialog. Help! Thank, Sammy

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  • Capturing and Transforming ASP.NET Output with Response.Filter

    - by Rick Strahl
    During one of my Handlers and Modules session at DevConnections this week one of the attendees asked a question that I didn’t have an immediate answer for. Basically he wanted to capture response output completely and then apply some filtering to the output – effectively injecting some additional content into the page AFTER the page had completely rendered. Specifically the output should be captured from anywhere – not just a page and have this code injected into the page. Some time ago I posted some code that allows you to capture ASP.NET Page output by overriding the Render() method, capturing the HtmlTextWriter() and reading its content, modifying the rendered data as text then writing it back out. I’ve actually used this approach on a few occasions and it works fine for ASP.NET pages. But this obviously won’t work outside of the Page class environment and it’s not really generic – you have to create a custom page class in order to handle the output capture. [updated 11/16/2009 – updated ResponseFilterStream implementation and a few additional notes based on comments] Enter Response.Filter However, ASP.NET includes a Response.Filter which can be used – well to filter output. Basically Response.Filter is a stream through which the OutputStream is piped back to the Web Server (indirectly). As content is written into the Response object, the filter stream receives the appropriate Stream commands like Write, Flush and Close as well as read operations although for a Response.Filter that’s uncommon to be hit. The Response.Filter can be programmatically replaced at runtime which allows you to effectively intercept all output generation that runs through ASP.NET. A common Example: Dynamic GZip Encoding A rather common use of Response.Filter hooking up code based, dynamic  GZip compression for requests which is dead simple by applying a GZipStream (or DeflateStream) to Response.Filter. The following generic routines can be used very easily to detect GZip capability of the client and compress response output with a single line of code and a couple of library helper routines: WebUtils.GZipEncodePage(); which is handled with a few lines of reusable code and a couple of static helper methods: /// <summary> ///Sets up the current page or handler to use GZip through a Response.Filter ///IMPORTANT:  ///You have to call this method before any output is generated! /// </summary> public static void GZipEncodePage() {     HttpResponse Response = HttpContext.Current.Response;     if(IsGZipSupported())     {         stringAcceptEncoding = HttpContext.Current.Request.Headers["Accept-Encoding"];         if(AcceptEncoding.Contains("deflate"))         {             Response.Filter = newSystem.IO.Compression.DeflateStream(Response.Filter,                                        System.IO.Compression.CompressionMode.Compress);             Response.AppendHeader("Content-Encoding", "deflate");         }         else        {             Response.Filter = newSystem.IO.Compression.GZipStream(Response.Filter,                                       System.IO.Compression.CompressionMode.Compress);             Response.AppendHeader("Content-Encoding", "gzip");                            }     }     // Allow proxy servers to cache encoded and unencoded versions separately    Response.AppendHeader("Vary", "Content-Encoding"); } /// <summary> /// Determines if GZip is supported /// </summary> /// <returns></returns> public static bool IsGZipSupported() { string AcceptEncoding = HttpContext.Current.Request.Headers["Accept-Encoding"]; if (!string.IsNullOrEmpty(AcceptEncoding) && (AcceptEncoding.Contains("gzip") || AcceptEncoding.Contains("deflate"))) return true; return false; } GZipStream and DeflateStream are streams that are assigned to Response.Filter and by doing so apply the appropriate compression on the active Response. Response.Filter content is chunked So to implement a Response.Filter effectively requires only that you implement a custom stream and handle the Write() method to capture Response output as it’s written. At first blush this seems very simple – you capture the output in Write, transform it and write out the transformed content in one pass. And that indeed works for small amounts of content. But you see, the problem is that output is written in small buffer chunks (a little less than 16k it appears) rather than just a single Write() statement into the stream, which makes perfect sense for ASP.NET to stream data back to IIS in smaller chunks to minimize memory usage en route. Unfortunately this also makes it a more difficult to implement any filtering routines since you don’t directly get access to all of the response content which is problematic especially if those filtering routines require you to look at the ENTIRE response in order to transform or capture the output as is needed for the solution the gentleman in my session asked for. So in order to address this a slightly different approach is required that basically captures all the Write() buffers passed into a cached stream and then making the stream available only when it’s complete and ready to be flushed. As I was thinking about the implementation I also started thinking about the few instances when I’ve used Response.Filter implementations. Each time I had to create a new Stream subclass and create my custom functionality but in the end each implementation did the same thing – capturing output and transforming it. I thought there should be an easier way to do this by creating a re-usable Stream class that can handle stream transformations that are common to Response.Filter implementations. Creating a semi-generic Response Filter Stream Class What I ended up with is a ResponseFilterStream class that provides a handful of Events that allow you to capture and/or transform Response content. The class implements a subclass of Stream and then overrides Write() and Flush() to handle capturing and transformation operations. By exposing events it’s easy to hook up capture or transformation operations via single focused methods. ResponseFilterStream exposes the following events: CaptureStream, CaptureString Captures the output only and provides either a MemoryStream or String with the final page output. Capture is hooked to the Flush() operation of the stream. TransformStream, TransformString Allows you to transform the complete response output with events that receive a MemoryStream or String respectively and can you modify the output then return it back as a return value. The transformed output is then written back out in a single chunk to the response output stream. These events capture all output internally first then write the entire buffer into the response. TransformWrite, TransformWriteString Allows you to transform the Response data as it is written in its original chunk size in the Stream’s Write() method. Unlike TransformStream/TransformString which operate on the complete output, these events only see the current chunk of data written. This is more efficient as there’s no caching involved, but can cause problems due to searched content splitting over multiple chunks. Using this implementation, creating a custom Response.Filter transformation becomes as simple as the following code. To hook up the Response.Filter using the MemoryStream version event: ResponseFilterStream filter = new ResponseFilterStream(Response.Filter); filter.TransformStream += filter_TransformStream; Response.Filter = filter; and the event handler to do the transformation: MemoryStream filter_TransformStream(MemoryStream ms) { Encoding encoding = HttpContext.Current.Response.ContentEncoding; string output = encoding.GetString(ms.ToArray()); output = FixPaths(output); ms = new MemoryStream(output.Length); byte[] buffer = encoding.GetBytes(output); ms.Write(buffer,0,buffer.Length); return ms; } private string FixPaths(string output) { string path = HttpContext.Current.Request.ApplicationPath; // override root path wonkiness if (path == "/") path = ""; output = output.Replace("\"~/", "\"" + path + "/").Replace("'~/", "'" + path + "/"); return output; } The idea of the event handler is that you can do whatever you want to the stream and return back a stream – either the same one that’s been modified or a brand new one – which is then sent back to as the final response. The above code can be simplified even more by using the string version events which handle the stream to string conversions for you: ResponseFilterStream filter = new ResponseFilterStream(Response.Filter); filter.TransformString += filter_TransformString; Response.Filter = filter; and the event handler to do the transformation calling the same FixPaths method shown above: string filter_TransformString(string output) { return FixPaths(output); } The events for capturing output and capturing and transforming chunks work in a very similar way. By using events to handle the transformations ResponseFilterStream becomes a reusable component and we don’t have to create a new stream class or subclass an existing Stream based classed. By the way, the example used here is kind of a cool trick which transforms “~/” expressions inside of the final generated HTML output – even in plain HTML controls not HTML controls – and transforms them into the appropriate application relative path in the same way that ResolveUrl would do. So you can write plain old HTML like this: <a href=”~/default.aspx”>Home</a>  and have it turned into: <a href=”/myVirtual/default.aspx”>Home</a>  without having to use an ASP.NET control like Hyperlink or Image or having to constantly use: <img src=”<%= ResolveUrl(“~/images/home.gif”) %>” /> in MVC applications (which frankly is one of the most annoying things about MVC especially given the path hell that extension-less and endpoint-less URLs impose). I can’t take credit for this idea. While discussing the Response.Filter issues on Twitter a hint from Dylan Beattie who pointed me at one of his examples which does something similar. I thought the idea was cool enough to use an example for future demos of Response.Filter functionality in ASP.NET next I time I do the Modules and Handlers talk (which was great fun BTW). How practical this is is debatable however since there’s definitely some overhead to using a Response.Filter in general and especially on one that caches the output and the re-writes it later. Make sure to test for performance anytime you use Response.Filter hookup and make sure it' doesn’t end up killing perf on you. You’ve been warned :-}. How does ResponseFilterStream work? The big win of this implementation IMHO is that it’s a reusable  component – so for implementation there’s no new class, no subclassing – you simply attach to an event to implement an event handler method with a straight forward signature to retrieve the stream or string you’re interested in. The implementation is based on a subclass of Stream as is required in order to handle the Response.Filter requirements. What’s different than other implementations I’ve seen in various places is that it supports capturing output as a whole to allow retrieving the full response output for capture or modification. The exception are the TransformWrite and TransformWrite events which operate only active chunk of data written by the Response. For captured output, the Write() method captures output into an internal MemoryStream that is cached until writing is complete. So Write() is called when ASP.NET writes to the Response stream, but the filter doesn’t pass on the Write immediately to the filter’s internal stream. The data is cached and only when the Flush() method is called to finalize the Stream’s output do we actually send the cached stream off for transformation (if the events are hooked up) and THEN finally write out the returned content in one big chunk. Here’s the implementation of ResponseFilterStream: /// <summary> /// A semi-generic Stream implementation for Response.Filter with /// an event interface for handling Content transformations via /// Stream or String. /// <remarks> /// Use with care for large output as this implementation copies /// the output into a memory stream and so increases memory usage. /// </remarks> /// </summary> public class ResponseFilterStream : Stream { /// <summary> /// The original stream /// </summary> Stream _stream; /// <summary> /// Current position in the original stream /// </summary> long _position; /// <summary> /// Stream that original content is read into /// and then passed to TransformStream function /// </summary> MemoryStream _cacheStream = new MemoryStream(5000); /// <summary> /// Internal pointer that that keeps track of the size /// of the cacheStream /// </summary> int _cachePointer = 0; /// <summary> /// /// </summary> /// <param name="responseStream"></param> public ResponseFilterStream(Stream responseStream) { _stream = responseStream; } /// <summary> /// Determines whether the stream is captured /// </summary> private bool IsCaptured { get { if (CaptureStream != null || CaptureString != null || TransformStream != null || TransformString != null) return true; return false; } } /// <summary> /// Determines whether the Write method is outputting data immediately /// or delaying output until Flush() is fired. /// </summary> private bool IsOutputDelayed { get { if (TransformStream != null || TransformString != null) return true; return false; } } /// <summary> /// Event that captures Response output and makes it available /// as a MemoryStream instance. Output is captured but won't /// affect Response output. /// </summary> public event Action<MemoryStream> CaptureStream; /// <summary> /// Event that captures Response output and makes it available /// as a string. Output is captured but won't affect Response output. /// </summary> public event Action<string> CaptureString; /// <summary> /// Event that allows you transform the stream as each chunk of /// the output is written in the Write() operation of the stream. /// This means that that it's possible/likely that the input /// buffer will not contain the full response output but only /// one of potentially many chunks. /// /// This event is called as part of the filter stream's Write() /// operation. /// </summary> public event Func<byte[], byte[]> TransformWrite; /// <summary> /// Event that allows you to transform the response stream as /// each chunk of bytep[] output is written during the stream's write /// operation. This means it's possibly/likely that the string /// passed to the handler only contains a portion of the full /// output. Typical buffer chunks are around 16k a piece. /// /// This event is called as part of the stream's Write operation. /// </summary> public event Func<string, string> TransformWriteString; /// <summary> /// This event allows capturing and transformation of the entire /// output stream by caching all write operations and delaying final /// response output until Flush() is called on the stream. /// </summary> public event Func<MemoryStream, MemoryStream> TransformStream; /// <summary> /// Event that can be hooked up to handle Response.Filter /// Transformation. Passed a string that you can modify and /// return back as a return value. The modified content /// will become the final output. /// </summary> public event Func<string, string> TransformString; protected virtual void OnCaptureStream(MemoryStream ms) { if (CaptureStream != null) CaptureStream(ms); } private void OnCaptureStringInternal(MemoryStream ms) { if (CaptureString != null) { string content = HttpContext.Current.Response.ContentEncoding.GetString(ms.ToArray()); OnCaptureString(content); } } protected virtual void OnCaptureString(string output) { if (CaptureString != null) CaptureString(output); } protected virtual byte[] OnTransformWrite(byte[] buffer) { if (TransformWrite != null) return TransformWrite(buffer); return buffer; } private byte[] OnTransformWriteStringInternal(byte[] buffer) { Encoding encoding = HttpContext.Current.Response.ContentEncoding; string output = OnTransformWriteString(encoding.GetString(buffer)); return encoding.GetBytes(output); } private string OnTransformWriteString(string value) { if (TransformWriteString != null) return TransformWriteString(value); return value; } protected virtual MemoryStream OnTransformCompleteStream(MemoryStream ms) { if (TransformStream != null) return TransformStream(ms); return ms; } /// <summary> /// Allows transforming of strings /// /// Note this handler is internal and not meant to be overridden /// as the TransformString Event has to be hooked up in order /// for this handler to even fire to avoid the overhead of string /// conversion on every pass through. /// </summary> /// <param name="responseText"></param> /// <returns></returns> private string OnTransformCompleteString(string responseText) { if (TransformString != null) TransformString(responseText); return responseText; } /// <summary> /// Wrapper method form OnTransformString that handles /// stream to string and vice versa conversions /// </summary> /// <param name="ms"></param> /// <returns></returns> internal MemoryStream OnTransformCompleteStringInternal(MemoryStream ms) { if (TransformString == null) return ms; //string content = ms.GetAsString(); string content = HttpContext.Current.Response.ContentEncoding.GetString(ms.ToArray()); content = TransformString(content); byte[] buffer = HttpContext.Current.Response.ContentEncoding.GetBytes(content); ms = new MemoryStream(); ms.Write(buffer, 0, buffer.Length); //ms.WriteString(content); return ms; } /// <summary> /// /// </summary> public override bool CanRead { get { return true; } } public override bool CanSeek { get { return true; } } /// <summary> /// /// </summary> public override bool CanWrite { get { return true; } } /// <summary> /// /// </summary> public override long Length { get { return 0; } } /// <summary> /// /// </summary> public override long Position { get { return _position; } set { _position = value; } } /// <summary> /// /// </summary> /// <param name="offset"></param> /// <param name="direction"></param> /// <returns></returns> public override long Seek(long offset, System.IO.SeekOrigin direction) { return _stream.Seek(offset, direction); } /// <summary> /// /// </summary> /// <param name="length"></param> public override void SetLength(long length) { _stream.SetLength(length); } /// <summary> /// /// </summary> public override void Close() { _stream.Close(); } /// <summary> /// Override flush by writing out the cached stream data /// </summary> public override void Flush() { if (IsCaptured && _cacheStream.Length > 0) { // Check for transform implementations _cacheStream = OnTransformCompleteStream(_cacheStream); _cacheStream = OnTransformCompleteStringInternal(_cacheStream); OnCaptureStream(_cacheStream); OnCaptureStringInternal(_cacheStream); // write the stream back out if output was delayed if (IsOutputDelayed) _stream.Write(_cacheStream.ToArray(), 0, (int)_cacheStream.Length); // Clear the cache once we've written it out _cacheStream.SetLength(0); } // default flush behavior _stream.Flush(); } /// <summary> /// /// </summary> /// <param name="buffer"></param> /// <param name="offset"></param> /// <param name="count"></param> /// <returns></returns> public override int Read(byte[] buffer, int offset, int count) { return _stream.Read(buffer, offset, count); } /// <summary> /// Overriden to capture output written by ASP.NET and captured /// into a cached stream that is written out later when Flush() /// is called. /// </summary> /// <param name="buffer"></param> /// <param name="offset"></param> /// <param name="count"></param> public override void Write(byte[] buffer, int offset, int count) { if ( IsCaptured ) { // copy to holding buffer only - we'll write out later _cacheStream.Write(buffer, 0, count); _cachePointer += count; } // just transform this buffer if (TransformWrite != null) buffer = OnTransformWrite(buffer); if (TransformWriteString != null) buffer = OnTransformWriteStringInternal(buffer); if (!IsOutputDelayed) _stream.Write(buffer, offset, buffer.Length); } } The key features are the events and corresponding OnXXX methods that handle the event hookups, and the Write() and Flush() methods of the stream implementation. All the rest of the members tend to be plain jane passthrough stream implementation code without much consequence. I do love the way Action<t> and Func<T> make it so easy to create the event signatures for the various events – sweet. A few Things to consider Performance Response.Filter is not great for performance in general as it adds another layer of indirection to the ASP.NET output pipeline, and this implementation in particular adds a memory hit as it basically duplicates the response output into the cached memory stream which is necessary since you may have to look at the entire response. If you have large pages in particular this can cause potentially serious memory pressure in your server application. So be careful of wholesale adoption of this (or other) Response.Filters. Make sure to do some performance testing to ensure it’s not killing your app’s performance. Response.Filter works everywhere A few questions came up in comments and discussion as to capturing ALL output hitting the site and – yes you can definitely do that by assigning a Response.Filter inside of a module. If you do this however you’ll want to be very careful and decide which content you actually want to capture especially in IIS 7 which passes ALL content – including static images/CSS etc. through the ASP.NET pipeline. So it is important to filter only on what you’re looking for – like the page extension or maybe more effectively the Response.ContentType. Response.Filter Chaining Originally I thought that filter chaining doesn’t work at all due to a bug in the stream implementation code. But it’s quite possible to assign multiple filters to the Response.Filter property. So the following actually works to both compress the output and apply the transformed content: WebUtils.GZipEncodePage(); ResponseFilterStream filter = new ResponseFilterStream(Response.Filter); filter.TransformString += filter_TransformString; Response.Filter = filter; However the following does not work resulting in invalid content encoding errors: ResponseFilterStream filter = new ResponseFilterStream(Response.Filter); filter.TransformString += filter_TransformString; Response.Filter = filter; WebUtils.GZipEncodePage(); In other words multiple Response filters can work together but it depends entirely on the implementation whether they can be chained or in which order they can be chained. In this case running the GZip/Deflate stream filters apparently relies on the original content length of the output and chokes when the content is modified. But if attaching the compression first it works fine as unintuitive as that may seem. Resources Download example code Capture Output from ASP.NET Pages © Rick Strahl, West Wind Technologies, 2005-2010Posted in ASP.NET  

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  • Knockout.js - Filtering, Sorting, and Paging

    - by jtimperley
    Originally posted on: http://geekswithblogs.net/jtimperley/archive/2013/07/28/knockout.js---filtering-sorting-and-paging.aspxKnockout.js is fantastic! Maybe I missed it but it appears to be missing flexible filtering, sorting, and pagination of its grids. This is a summary of my attempt at creating this functionality which has been working out amazingly well for my purposes. Before you continue, this post is not intended to teach you the basics of Knockout. They have already created a fantastic tutorial for this purpose. You'd be wise to review this before you continue. http://learn.knockoutjs.com/ Please view the full source code and functional example on jsFiddle. Below you will find a brief explanation of some of the components. http://jsfiddle.net/JTimperley/pyCTN/13/ First we need to create a model to represent our records. This model is a simple container with defined and guaranteed members. function CustomerModel(data) { if (!data) { data = {}; } var self = this; self.id = data.id; self.name = data.name; self.status = data.status; } Next we need a model to represent the page as a whole with an array of the previously defined records. I have intentionally overlooked the filtering and sorting options for now. Note how the filtering, sorting, and pagination are chained together to accomplish all three goals. This strategy allows each of these pieces to be used selectively based on the page's needs. If you only need sorting, just sort, etc. function CustomerPageModel(data) { if (!data) { data = {}; } var self = this; self.customers = ExtractModels(self, data.customers, CustomerModel); var filters = […]; var sortOptions = […]; self.filter = new FilterModel(filters, self.customers); self.sorter = new SorterModel(sortOptions, self.filter.filteredRecords); self.pager = new PagerModel(self.sorter.orderedRecords); } The code currently supports text box and drop down filters. Text box filters require defining the current 'Value' and the 'RecordValue' function to retrieve the filterable value from the provided record. Drop downs allow defining all possible values, the current option, and the 'RecordValue' as before. Once defining these filters, they are automatically added to the screen and any changes to their values will automatically update the results, causing their sort and pagination to be re-evaluated. var filters = [ { Type: "text", Name: "Name", Value: ko.observable(""), RecordValue: function(record) { return record.name; } }, { Type: "select", Name: "Status", Options: [ GetOption("All", "All", null), GetOption("New", "New", true), GetOption("Recently Modified", "Recently Modified", false) ], CurrentOption: ko.observable(), RecordValue: function(record) { return record.status; } } ]; Sort options are more simplistic and are also automatically added to the screen. Simply provide each option's name and value for the sort drop down as well as function to allow defining how the records are compared. This mechanism can easily be adapted for using table headers as the sort triggers. That strategy hasn't crossed my functionality needs at this point. var sortOptions = [ { Name: "Name", Value: "Name", Sort: function(left, right) { return CompareCaseInsensitive(left.name, right.name); } } ]; Paging options are completely contained by the pager model. Because we will be chaining arrays between our filtering, sorting, and pagination models, the following utility method is used to prevent errors when handing an observable array to another observable array. function GetObservableArray(array) { if (typeof(array) == 'function') { return array; }   return ko.observableArray(array); }

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  • Asynchrony in C# 5 (Part I)

    - by javarg
    I’ve been playing around with the new Async CTP preview available for download from Microsoft. It’s amazing how language trends are influencing the evolution of Microsoft’s developing platform. Much effort is being done at language level today than previous versions of .NET. In these post series I’ll review some major features contained in this release: Asynchronous functions TPL Dataflow Task based asynchronous Pattern Part I: Asynchronous Functions This is a mean of expressing asynchronous operations. This kind of functions must return void or Task/Task<> (functions returning void let us implement Fire & Forget asynchronous operations). The two new keywords introduced are async and await. async: marks a function as asynchronous, indicating that some part of its execution may take place some time later (after the method call has returned). Thus, all async functions must include some kind of asynchronous operations. This keyword on its own does not make a function asynchronous thought, its nature depends on its implementation. await: allows us to define operations inside a function that will be awaited for continuation (more on this later). Async function sample: Async/Await Sample async void ShowDateTimeAsync() {     while (true)     {         var client = new ServiceReference1.Service1Client();         var dt = await client.GetDateTimeTaskAsync();         Console.WriteLine("Current DateTime is: {0}", dt);         await TaskEx.Delay(1000);     } } The previous sample is a typical usage scenario for these new features. Suppose we query some external Web Service to get data (in this case the current DateTime) and we do so at regular intervals in order to refresh user’s UI. Note the async and await functions working together. The ShowDateTimeAsync method indicate its asynchronous nature to the caller using the keyword async (that it may complete after returning control to its caller). The await keyword indicates the flow control of the method will continue executing asynchronously after client.GetDateTimeTaskAsync returns. The latter is the most important thing to understand about the behavior of this method and how this actually works. The flow control of the method will be reconstructed after any asynchronous operation completes (specified with the keyword await). This reconstruction of flow control is the real magic behind the scene and it is done by C#/VB compilers. Note how we didn’t use any of the regular existing async patterns and we’ve defined the method very much like a synchronous one. Now, compare the following code snippet  in contrast to the previuous async/await: Traditional UI Async void ComplicatedShowDateTime() {     var client = new ServiceReference1.Service1Client();     client.GetDateTimeCompleted += (s, e) =>     {         Console.WriteLine("Current DateTime is: {0}", e.Result);         client.GetDateTimeAsync();     };     client.GetDateTimeAsync(); } The previous implementation is somehow similar to the first shown, but more complicated. Note how the while loop is implemented as a chained callback to the same method (client.GetDateTimeAsync) inside the event handler (please, do not do this in your own application, this is just an example).  How it works? Using an state workflow (or jump table actually), the compiler expands our code and create the necessary steps to execute it, resuming pending operations after any asynchronous one. The intention of the new Async/Await pattern is to let us think and code as we normally do when designing and algorithm. It also allows us to preserve the logical flow control of the program (without using any tricky coding patterns to accomplish this). The compiler will then create the necessary workflow to execute operations as the happen in time.

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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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  • Data Mining Email with Thunderbird

    - by user554629
    Oracle has many formal, searchable locations:  Service Requests, BugIDs, Technical Documents. These contain the results of an investigation for a customer crash situation;  they're created after the intense work of resolution is over, and typically contain the "root cause" of the failure ... but not the methods for identifying that cause. Email is still the standby for interacting with quickly formed groups of specialists, focusing on a particular incident.Customer BI, Network and System specialists;  Oracle Tech Support, Development, Consultants; OEM Database, OS technical support.   It is a chaotic, time-oriented set of configuration, call stacks, changes, techniques to discover and repair the failure. I needed to organize that information into something cohesive to prepare the blog entry on Teradata.  My corporate email client of choice is Thunderbird.   My original (flawed) search technique: R-Click on Inbox in Thunderbird left pane, and choose Search Messages Subject:  [ teradata ] Results: A new window titled "Search Messages"Single pane of selected messagesColumn headings:  Subject  From  Date  LocationNo preview window for messages There are 673 email entries in the result ( too many )  R-click icon just above the vertical scroll bar on the rightCheck [x] Tags Click on the Tags header to sort by "Important" View contents of message by double-clickingOpens in the Thunderbird Main Window in a new Tab Not what I was looking for, close the tab and try again. There has to be a better way.  ( and there is ) I need to be more productive, eliminating duplicate-chained messages, for example.   Even the Tag "Important" that was added during the investigation phase, is "not so much" for my current task. In the "Search Messages" window, click [ Save as Search Folder ] [ teradata ]  Appears as a new folder in my Inbox. Focus on that folder and the results appear with a list of messages like every other folder in the Inbox.Only the results of the search are shown A preview window is now available for each message Sort, Select message, Cursor Down ... navigates quickly through the messages. But wait, there's more ... Click Find ( Ctrl-F) Enter a search term for the message body, like.[ LIBPATH ] The search is "sticky" ... each message you cycle through wil focus ( and highlight) the LIBPATH search term. And still more .... Reset the Tag"Important" message.   Press "1" and the tag is removed Press "4" and a new Tag "ToDo" is applied After applying all of the tags, sort by Tag for a new message order Adjust the search criteria ... R-click on the [ teradata ] search folder, and choose Properties Add additional criteria to narrow the search Some of the information I'm looking for did not contain "teradata" in the subject line. + Body  [ contains ] [ Best Practices ] That's it.  Much more efficient search.   Thank you Thunderbird.

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  • How can I force Javascript garbage collection in IE? IE is acting very slow after AJAX calls & DOM

    - by RenderIn
    I have a page with chained drop-downs. Choosing an option from the first select populates the second, and choosing an option from the second select returns a table of matching results using the innerHtml function on an empty div on the page. The problem is, once I've made my selections and a considerable amount of data is brought onto the page, all subsequent Javascript on the page runs exceptionally slowly. It seems as if all the data I pulled back via AJAX to populate the div is still hogging a lot of memory. I tried setting the return object which contains the AJAX results to null after calling innerHtml but with no luck. Firefox, Safari, Chrome and Opera all show no performance degradation when I use Javascript to insert a lot of data into the DOM, but in IE it is very apparent. To test that it's a Javascript/DOM issue rather than a plain old IE issue, I created a version of the page that returns all the results on the initial load, rather than via AJAX/Javascript, and found IE had no performance problems. FYI, I'm using jQuery's jQuery.get method to execute the AJAX call. EDIT This is what I'm doing: <script type="text/javascript"> function onFinalSelection() { var searchParameter = jQuery("#second-select").val(); jQuery.get("pageReturningAjax.php", {SEARCH_PARAMETER: searchParameter}, function(data) { jQuery("#result-div").get(0).innerHtml = data; //jQuery("#result-div").html(data); //Tried this, same problem data = null; }, "html"); } </script>

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  • UIView rotation, modal view lanscape and portrait, parent fails to render

    - by Ben
    Hi everyone, I've hit a bit of a roadblock with something that I hope that someone in here can help me out with. I'll describe the 'state of play' first, and then what the issue is, so here goes; I have a series of view controllers that are chained together with a Navigation Controller (this works just fine), All of these view controllers support portrait mode only (by design), In one of the view controllers (the 'end' one actually) the user can click a table cell to pop up a modal view controller (using presentModalViewController(...) of course) This modal view controller supports portrait and landscape modes (and this works), When the user clicks the 'Done' button on this modal view controller we pop and pass control back to the parent view controller, however; If the user is in portrait mode when they click 'Done' then the parent displays itself just fine, If the user is in landscape mode when they click 'Done' then the parent displays a totally white, blank screen (that covers the whole screen). It is as if the controller does not know how to render in landscape and just doesn't bother. I'd like to be able to have this parent view render in portrait no matter what the orientation of the phone is when the user clicks the 'Done' button. Various forum posts suggest using the UIDevice method 'setOrientation' (but this is undocumented and will get our app rejected apparently). Another suggestion was to set the 'statusBarOrientation' to portrait in the 'viewWillAppear' method but that had no effect. So I am a bit stuck! Has any encountered anything like this before? If need be I can provide code, if that will help anyone diagnose the problem for me. Thanks in advance! Cheers, Ben

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  • Javascript :(….. Oh!! So its jquery? Now what?? I’m a C# Guy

    - by Shekhar_Pro
    Hi guys I want you to Guide me here. This other day I was working out some AJAX for my ASP.Net website and handling client side code in Java was taking the hell out of me. Then I got my hands on this Book jQuery In Action 2nd Edition and solved my problem with the help of Example code in the book. Now as I checked the contents I got an overview that whatever I had ever thought of doing can be done by this jQuery so easily and quite cleanly. I am actually pretty new to web development (say abt 4months ) and from C# world where we have cool libraries and Simple and Elegant coding style. (yeah including those generic, Ienumerable, lambadas, chained statements.. you got it…) and you know what you’re doing when writing some code. And we have so great IntelliSense to care., and above all we have everything Strongly Typed. But in Javascript everything is so messy.. . (and I don’t know why they are not properly indented.. see page source ) Now tell me what should I do, go straight with jQuery or should I first learn Javascript (like a disciplined boy…I even have a book for that too… got in gift :) …. ) I have seen Is it a good idea to learn JavaScript before learning jQuery? but remember I have already got a project on my hand…

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  • Why won't .attr('checked','checked') set?

    - by Jason
    I have the following snippet of code (I'm using jQuery 1.4.2): $.post('/Ads/GetAdStatsRow/', { 'ad_id': id }, function(result) { $('#edit_ads_form tbody').prepend(result); $(result).find('td.select-ad input').attr('checked','checked').click(); }); Assume that the post works correctly and returns a correct pre-built <tr> with some <td>s. Here's the weirdness: the $(result).find() line finds the correct input (which is a checkbox, as it's the only input in the cell) and runs the chained click() function correctly, but it REFUSES to set the box as checked, which I need to happen. Here's a crazy twist, too... when I get super specific and change the $(result).find() line to this (the id of the checkbox): $('#ad_' + id).click(); It checks the box, but doesn't run the click() function! If I set it to $('#ad_' + id).attr('checked','checked').click(); it runs the click function as though the box were checked, but the box remains unchecked, and if I do $('#ad_' + id).click().attr('checked','checked'); it does nothing at all. What in the world could be the matter with this? I'm running out of hair.... Thanks!

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  • Using jQuery delay() with separate elements

    - by boomturn
    I want to fake a simple animation on page load by sequentially revealing several pngs, each appearing instantly but with unique, precisely timed delay before the next one. Using the latest version of jQuery (1.4.2 at writing), which provides a delay method. My first (braindead) impulse was: $('#image1').show('fast').delay(800); $('#image2').show('fast').delay(1200); $('#image3').show('fast'); Of course all come up simultaneously. jQuery doc examples refer to a single item being chained, not handling multiple items. OK... try again using nested callbacks from show(): $('#image1').show('fast', function() { $('#image2').show('fast', function() { $('#image3').show('fast', function() { }); }); }); Looks ugly (imagine doing 10, also wonder what processor hit would be) but hey, it works sequentially! Without delay though. So... chain delay() after show() using a callback function from it (not even sure if it supports one): $('#image1').show('fast').delay(800, function() { $('#image2').show('fast').delay(1200, function() { $('#image3').show('fast'); }); }); Hm. Opposite result of what I thought might happen: the callback works, but still no delay. So... should I be using some combination of queue and delay instead of nested callbacks? jQuery doc examples for queue again only use one element for example. Guessing this would involve using a custom queue, but am uncertain how to implement this. Or maybe I'm missing a simple way? (For a simple problem!)

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  • SHLoadImageFile(L"\\Program Files\\TrainingApp\\background.png"); whats that L in the argument for?

    - by ashishsony
    Hi, ive been working on c++ on linux for the past 2 years,and switched to windows c++ programming recently. can anyone tell me what that L is there in the argument of the function: SHLoadImageFile(L"\\Program Files\\TrainingApp\\background.png"); and on viewing certain sample code in MSVS C++ i came across hundereds of typedefs like.. LPARAM// typedef LONG_PTR LPARAM... here LONG_PTR is again typedef as __w64 long WPARAM// typedef UINT_PTR WPARAM... so there is a lot of chained typedefs.. I never saw this much of typedef chaining on c++ programming on linux using gcc.. what i want to say is that it just creates more confusion in this way for windows application programming.. while ive seen application programming on linux using frameworks like Qt.. there such things are rarely used.. so is there specific purpose in typedefining again and again on MSVSC++?? for eg.. there are typdefs like typedef int BOOL; whats the use of this when normal bool is available already..?? there are hundred other cases ive come across where just to decide what data type to use becomes so difficult.. it becomes difficult to understand a pre written code in this fashion too.. Thanks.

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  • Error handling in PHP

    - by Industrial
    Hi guys, We're building a PHP app based on Good old MVC (codeigniter framework) and have run into trouble with a massive chained action that consists of multiple model calls, that together is a part of a big transaction to the database. We want to be able to do a list of actions and get a status report of each one back from the function, whatever the outcome is. Our first initial idea was to utilize the exceptions of PHP5, but since we want to also need status messages that doesnt break the execution of the script, this was our solution that we came up with. It goes a little something like this: $sku = $this->addSku( $name ); if ($sku === false) { $status[] = 'Something gone terrible wrong'; $this->db->trans_rollback(); return $status; } $image= $this->addImage( $filename); if ($image=== false) { $error[] = 'Image could not be uploaded, check filesize'; $this->db->trans_rollback(); return $status; } Our controller looks like this: $var = $this->products->addProductGroup($array); if (is_array($var)) { foreach ($var as $error) { echo $error . '<br />'; } } It appears to be a very fragile solution to do what we need, but it's neither scalable, neither effective when compared to pure PHP exceptions for instance. Is this really the way that this kind of stuff generally is handled in MVC based apps? Thanks!

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  • Passing filtering functions to Where() in LINQ-to-SQL

    - by Daniel
    I'm trying to write a set of filtering functions that can be chained together to progressively filter a data set. What's tricky about this is that I want to be able to define the filters in a different context from that in which they'll be used. I've gotten as far as being able to pass a very basic function to the Where() clause in a LINQ statement: filters file: Func<item, bool> returnTrue = (i) => true; repository file: public IQueryable<item> getItems() { return DataContext.Items.Where(returnTrue); } This works. However, as soon as I try to use more complicated logic, the trouble begins: filters file: Func<item, bool> isAssignedToUser = (i) => i.assignedUserId == userId; repository file: public IQueryable<item> getItemsAssignedToUser(int userId) { return DataContext.Items.Where(isAssignedToUser); } This won't even build because userId isn't in the same scope as isAssignedToUser(). I've also tried declaring a function that takes the userId as a parameter: Func<item, int, bool> isAssignedToUser = (i, userId) => i.assignedUserId == userId; The problem with this is that it doesn't fit the function signature that Where() is expecting: Func<item, bool> There must be a way to do this, but I'm at a loss for how. I don't feel like I'm explaining this very well, but hopefully you get the gist. Thanks, Daniel

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  • How can i mock or test my deferred execution functionality?

    - by cottsak
    I have what could be seen as a bizarre hybrid of IQueryable<T> and IList<T> collections of domain objects passed up my application stack. I'm trying to maintain as much of the 'late querying' or 'lazy loading' as possible. I do this in two ways: By using a LinqToSql data layer and passing IQueryable<T>s through by repositories and to my app layer. Then after my app layer passing IList<T>s but where certain elements in the object/aggregate graph are 'chained' with delegates so as to defer their loading. Sometimes even the delegate contents rely on IQueryable<T> sources and the DataContext are injected. This works for me so far. What is blindingly difficult is proving that this design actually works. Ie. If i defeat the 'lazy' part somewhere and my execution happens early then the whole thing is a waste of time. I'd like to be able to TDD this somehow. I don't know a lot about delegates or thread safety as it applies to delegates acting on the same source. I'd like to be able to mock the DataContext and somehow trace both methods of deferring (IQueryable<T>'s SQL and the delegates) the loading so that i can have tests that prove that both functions are working at different levels/layers of the app/stack. As it's crucial that the deferring works for the design to be of any value, i'd like to see tests fail when i break the design at a given level (separate from the live implementation). Is this possible?

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