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  • Reference Data Management and Master Data: Are Relation ?

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

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  • Focus on Oracle Data Profiling and Data Quality 11g - 24/Fev/11

    - by Claudia Costa
    Thursday 24th February, 11am GMTOracle offers an integrated suite Data Quality software architected to discover and correct today's data quality problems and establish a platform prepared for tomorrow's yet unknown data challenges.Oracle Data Profiling provides data investigation, discovery, and profiling in support of quality, migration, integration, stewardship, and governance initiatives. It includes a broad range of features that expand upon basic profiling, including automated monitoring, business-rule validation, and trend analysis.Oracle Data Quality for Data Integrator provides cleansing, standardization, matching, address validation, location enrichment, and linking functions for global customer data and operational business data.It ensures that data adheres to established standards that are adaptable to fit each organization's specific needs. Both single - and double - byte data are processed in local languages to provide a unique and centralized view of customers, products and services.  During this in-person briefing, Data Integration Solution Specialists will be providing a technical overview and a walkthrough.Agenda Oracle Data Integration Strategy overview A focus on Oracle Data Profiling and Oracle Data Quality for Data Integrator: Oracle Data Profiling Oracle Data Quality for Data Integrator Live demo Q&A  This FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Registrations received less than 24hours prior to start time may not receive confirmation to attend.To register click here.For any questions please contact [email protected]

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  • Load SWF data without loading sound, then load sound later

    - by Jon Sandness
    So, hypothetical situation here: I have an SWF that's 30MB. Sound files (music) make up 25MB, art and other things make up the remaining 5MB. Would it be possible for me to load the 5MB of necessary art and other things first to allow the user to operate the app, then after that's all loaded and they are operating the app, load the remaining 25MB of sound files in the background? UPDATE: Loading SWF externally is not an option.

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  • Server load spikes several times a day, load average for the past month is 5 times the load average all year

    - by AMF
    My Munin notifications set up for our (Debian) LAMP cluster have been notifying me continuously that our load on our production machine has been at dangerous levels. While the average load all year typically runs between 2 and 8, the load in the past month and only the past month -- has been skyrocketing to 10, 18, and occasionally even 50-60. The spikes last only 5-10 minutes at a time and occur about every 2-3 hours. The spikes do not effect performance only because I have a script that sends traffic off our server to a mirror CDN when the load goes above 10. I've looked for cron jobs that correlate with this timeframe but there is nothing I can see that would cause this. Site traffic is also normal (we receive about 200K visits per day). I'm also trying to think of anything I've changed around the time this problem began, and I really cannot think of anything. This is probably not much to go on. Maybe there is a clue in the top print-out (below) that I'm not seeing. How do I proceed to find the cause? -- Typical top when the load is NOT spiking: top - 11:13:09 up 472 days, 25 min, 1 user, load average: 6.08, 4.29, 3.80 Tasks: 105 total, 1 running, 104 sleeping, 0 stopped, 0 zombie Cpu(s): 41.2%us, 5.8%sy, 0.0%ni, 49.5%id, 2.7%wa, 0.1%hi, 0.7%si, 0.0%st Mem: 3369592k total, 2166980k used, 1202612k free, 559504k buffers Swap: 2650684k total, 1892k used, 2648792k free, 1129116k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 32046 apache 15 0 36300 12m 9828 S 20 0.4 0:01.97 apache2 32679 apache 15 0 36568 13m 10m S 19 0.4 0:01.69 apache2 31441 apache 15 0 36616 13m 10m S 19 0.4 0:04.13 apache2 31477 apache 15 0 36596 13m 9.8m S 15 0.4 0:01.99 apache2 31993 apache 15 0 36876 16m 12m S 12 0.5 0:02.01 apache2 31782 apache 15 0 36836 14m 10m S 8 0.4 0:02.17 apache2 32198 apache 15 0 36536 13m 10m S 7 0.4 0:01.59 apache2 880 apache 15 0 36508 9708 6236 S 7 0.3 0:00.42 apache2 31945 apache 17 0 36876 16m 13m S 5 0.5 0:03.17 apache2 32197 apache 16 0 36636 10m 7504 S 5 0.3 0:02.70 apache2 32326 apache 15 0 37024 11m 7632 S 5 0.3 0:02.15 apache2 32565 apache 15 0 37280 13m 9.8m S 5 0.4 0:03.75 apache2 32676 apache 15 0 36896 16m 12m S 4 0.5 0:00.95 apache2 32678 apache 15 0 36536 12m 9692 S 4 0.4 0:02.27 apache2 974 apache 16 0 37064 9888 6016 D 4 0.3 0:00.13 apache2 32150 apache 16 0 36832 13m 10m S 3 0.4 0:01.74 apache2 31780 apache 16 0 36848 11m 7660 S 3 0.3 0:02.87 apache2

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  • Extending WCF Data Service to synthesize missing data on request

    - by Schneider
    I have got a WCF Data Service based on a LINQ to SQL data provider. I am making a query "get me all the records between two dates". The problem is that I want to synthesize two extra records such that I always get records that fall on the start and end dates, plus all the ones in between which come from the database. Is there a way to "intercept" the request so I can synthesize these records and return them to the client? Thanks

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  • Tackling Big Data Analytics with Oracle Data Integrator

    - by Irem Radzik
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman";}  By Mike Eisterer  The term big data draws a lot of attention, but behind the hype there's a simple story. For decades, companies have been making business decisions based on transactional data stored in relational databases. Beyond that critical data, however, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and documents that can be mined for useful information.  Companies are facing emerging technologies, increasing data volumes, numerous data varieties and the processing power needed to efficiently analyze data which changes with high velocity. Oracle offers the broadest and most integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships Oracle Data Integrator Enterprise Edition(ODI) is critical to any enterprise big data strategy. ODI and the Oracle Data Connectors provide native access to Hadoop, leveraging such technologies as MapReduce, HDFS and Hive. Alongside with ODI’s metadata driven approach for extracting, loading and transforming data; companies may now integrate their existing data with big data technologies and deliver timely and trusted data to their analytic and decision support platforms. In this session, you’ll learn about ODI and Oracle Big Data Connectors and how, coupled together, they provide the critical integration with multiple big data platforms. Tackling Big Data Analytics with Oracle Data Integrator October 1, 2012 12:15 PM at MOSCONE WEST – 3005 For other data integration sessions at OpenWorld, please check our Focus-On document.  If you are not able to attend OpenWorld, please check out our latest resources for Data Integration.

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  • BCP???!????????????:Oracle Data Guard ????

    - by Shinobu FUJINAMI
    ??????????????????????????????????????????????????·????????????????? ??????DG???????????????????????Disk Group???Down Grade????????????????????????????????????????? Oracle ? DG ??Data Guard????????????Oracle Data Guard ???????????????????????????????·??????????????????·???????????????????????????????????????????????????????????????? BCP(??????)????????????????????????????????? Oracle Data Guard ??? Oracle Data Guard ????????KROWN??????·????(KDS) ? Data Guard ??????????????????????????????????????????????????????( KROWN??????·????(KDS) ???????? ) ????·???????????? - ???????? Data Guard Data Guard ?????????BCP ????????????????? Data Guard ???????????????????????????????????? - ???????????????????????????? Data Guard ???????·??????(????????)???????????·??????????·??????2?????????????????·?????????????????? ???????????????????????????????·????????????????????????? - Data Guard >> ??????????? ??????????? Data Guard ???????????ASM ? RAC ??????????????????????????? Data Guard ??? Oracle Database ?????????????????  - DataGuard ??????????????????? (11gR1/11gR2) ???????????????????????????????????????????????????  Data Guard ??? Oracle Database ????????????????? - [DataGuard 11g] ?????·?????????????·???? 11g ????????????·?????????????·????????????????? ??????·??????????????????????????????????? ??·???????????? -  Data Guard >> ??????????? ???????????(?????·?????)?????????(????·?????)?????????/??????·???????????????????????? ??????????????????????? ??????????????????????????????? ???·????????????  - Data Guard >> ???? ????????????????????????????????? Data Guard ???????????????????????????????????? ?????????????????????DataGuard??????????????????????????????? ?????DataGuard???????????????????????????????Data Guard ???????????????????????·????????????????????????????? ???????????????????????????????????????????????????????- Data Guard >> ???? ??????????????? ?????????????????????????????????????????????????????????????? ????????????????????????????????? - Data Guard >> ??????????? ??????????????? ?????README, PSR ???????????????????????????????????????????????????????????????????????????????????????????? Oracle Data Guard ? Oracle9i ???????????????????????????????????Oracle Database 10g ???????????·??????? Data Guard ?????????????????????????????????????????????????????????????????Oracle Database 11g ??????·?????·????????????????????????????????????Oracle Data Guard ????????????????????????????????????????

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  • VSTS 2008 Load testing, Is it any good?

    - by anshu
    I have already spent couple of weeks trying to use this tool to generate some webtest and load test. But every day it throws a weird problem for which I do not find anything in document. examples: Hidden variables (_lastfocus) not found in the context error. Today, all of sudden it is now refusing to run some of the webtest which are part of the test mix in my load test run (is working fine with another load test). Are enterprise level, expensive tools are only good? (like loadrunner, silkperformer etc).

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  • Windows/.NET Load Distribution & Balancing

    - by andrewbadera
    Hi all, Is there a vetted Windows-friendly, or even .NET-native, load-distributing/load-balancing utility out there along the lines of HA Proxy? We have a .NET stack product, and the one piece that we step out of the stack is for load-balancing. We need something with configurable rules for distribution -- perhaps subdomain-driven -- that NLB alone doesn't seem to offer. If it integrates directly with .NET, or offers an exposed API callable by webservices, so much the better! Thanks in advance! Clarification: we need to logically part over boxes. This is not just a cluster/failover/replication scenario.

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  • Visual Studio Load Tests Virtual Users Simulation

    - by Eldar
    Hello, I'm currently working on writing a load testing application that takes advantage of Load Test using Visual Studio 2010. The load test will simulate 20 users on the same machine, and I need some data to be shared in-memory between all simulated users. I was suprised I couldn't find documentation answering the following question: What seperates each virtual user's running context from the other? Does each virtual user runs the tests in its own process? Maybe in its own app domain? Or just on its own thread? I need to know because if each user is running tests in its own process then all the in-memory cache isn't shared and is created for each user instead of one time for all of them, which is bad for me.

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  • Core Data Model Design Question - Changing "Live" Objects also Changes Saved Objects

    - by mwt
    I'm working on my first Core Data project (on iPhone) and am really liking it. Core Data is cool stuff. I am, however, running into a design difficulty that I'm not sure how to solve, although I imagine it's a fairly common situation. It concerns the data model. For the sake of clarity, I'll use an imaginary football game app as an example to illustrate my question. Say that there are NSMO's called Downs and Plays. Plays function like templates to be used by Downs. The user creates Plays (for example, Bootleg, Button Hook, Slant Route, Sweep, etc.) and fills in the various properties. Plays have a to-many relationship with Downs. For each Down, the user decides which Play to use. When the Down is executed, it uses the Play as its template. After each down is run, it is stored in history. The program remembers all the Downs ever played. So far, so good. This is all working fine. The question I have concerns what happens when the user wants to change the details of a Play. Let's say it originally involved a pass to the left, but the user now wants it to be a pass to the right. Making that change, however, not only affects all the future executions of that Play, but also changes the details of the Plays stored in history. The record of Downs gets "polluted," in effect, because the Play template has been changed. I have been rolling around several possible fixes to this situation, but I imagine the geniuses of SO know much more about how to handle this than I do. Still, the potential fixes I've come up with are: 1) "Versioning" of Plays. Each change to a Play template actually creates a new, separate Play object with the same name (as far as the user can tell). Underneath the hood, however, it is actually a different Play. This would work, AFAICT, but seems like it could potentially lead to a wild proliferation of Play objects, esp. if the user keeps switching back and forth between several versions of the same Play (creating object after object each time the user switches). Yes, the app could check for pre-existing, identical Plays, but... it just seems like a mess. 2) Have Downs, upon saving, record the details of the Play they used, but not as a Play object. This just seems ridiculous, given that the Play object is there to hold those just those details. 3) Recognize that Play objects are actually fulfilling 2 functions: one to be a template for a Down, and the other to record what template was used. These 2 functions have a different relationship with a Down. The first (template) has a to-many relationship. But the second (record) has a one-to-one relationship. This would mean creating a second object, something like "Play-Template" which would retain the to-many relationship with Downs. Play objects would get reconfigured to have a one-to-one relationship with Downs. A Down would use a Play-Template object for execution, but use the new kind of Play object to store what template was used. It is this change from a to-many relationship to a one-to-one relationship that represents the crux of the problem. Even writing this question out has helped me get clearer. I think something like solution 3 is the answer. However if anyone has a better idea or even just a confirmation that I'm on the right track, that would be helpful. (Remember, I'm not really making a football game, it's just faster/easier to use a metaphor everyone understands.) Thanks.

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  • Load Testing Java Web Application - find TPS / Avg transaction response time

    - by Steve
    I would like to build my own load testing tool in Java with the goal of being able to load test a web application I am building throughout the development cycle. The web application will be receiving server to server HTTP Post requests and I would like to find its starting transaction per second (TPS) capacity along with the avgerage response time. The Post request and response messages will be in XML (I dont' think that's really applicable though :) ). I have written a very simple Java app to send transactions and count how many transactions it was able to send in one second (1000 ms) however I don't think this is the best way to load test. Really what I want is to send any number of transactions at exactly the same time - i.e. 10, 50, 100 etc. Any help would be appreciated! Oh and here is my current test app code: Thread[] t = new Thread[1]; for (int a = 0; a < t.length; a++) { t[a] = new Thread(new MessageLoop()); } startTime = System.currentTimeMillis(); System.out.println(startTime); for (int a = 0; a < t.length; a++) { t[a].start(); } while ((System.currentTimeMillis() - startTime) < 1000 ) { } if ((System.currentTimeMillis() - startTime) > 1000 ) { for (int a = 0; a < t.length; a++) { t[a].interrupt(); } } long endTime = System.currentTimeMillis(); System.out.println(endTime); System.out.println("Total time: " + (endTime - startTime)); System.out.println("Total transactions: " + count); private static class MessageLoop implements Runnable { public void run() { try { //Test Number of transactions while ((System.currentTimeMillis() - startTime) < 1000 ) { // SEND TRANSACTION HERE count++; } } catch (Exception e) { } } }

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  • Modifying a HTML page to fix several "bugs" add a function to next/previous on a option dropdown

    - by Dennis Sylvian
    SOF, I've got a few problems plaguing me at the moment and am wondering if anyone could assist me with them. I'm trying to get Next Class | Previous Class to act as buttons so that when Next Class is clicked it will go to the next item in the dropdown list and for previous it would go to back one. There used to be a scroll bar that allowed me to scroll the main window left and right, it's missing because (I think it was to do with the scroll left and scroll right function) The footer at the bottom doesn't show correctly on mobile devices; for some reason it appears completely differently to as it does on a computer. The "bar" practically and the Scroll Left and Scroll buttons don't appear at all on mobile devices. The scroll left button is unable to be clicked for some reason, I'm unsure what I've done wrong. Refreshing the page resets the horizontal scroll position to far left (I'm pretty sure this relates to the scroll bar) I want to also find a way so that on mobile devices the the header will not show the placeholder image, however I can't work out what CSS media tag(s) I should be using. Latest: http://jsfiddle.net/pwv7u/ Smaller HTML <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>DATA DATA DATA DATA DATA DATA DATA DATA</title> <style type="text/css"> <!-- @import url("nstyle.css"); --> </style> <script src="jquery.min.js" type="text/javascript"></script> <script type="text/javascript"> $(document).ready( function() { for (var i=0;i<($("table").children().length);i++){ if(readCookie(i)) $($($("table").children()[i]).children()[(readCookie(i))]).toggleClass('selected').siblings().removeClass('selected'); } $("tr").click(function(){ $(this).toggleClass('selected').siblings().removeClass('selected'); if(readCookie($(this).parent().index())){ if(readCookie($(this).parent().index())==$(this).index()) eraseCookie($(this).parent().index()); else{ eraseCookie($(this).parent().index()); createCookie($(this).parent().index(),$(this).index(),1); } } else createCookie($(this).parent().index(),$(this).index(),1); }); // gather CLASS info var selector = $('.class-selector').on('change', function(){ var id = this.value; if (id!==''){ scrollToAnchor(id); } }); $('a[id^="CLASS"]').each(function(){ var id = this.id, option = $('<option>',{ value: this.id, text:this.id }); selector.append(option); }); function scrollToAnchor(aid) { var aTag = $("a[id='" + aid + "']"); $('html,body').animate({ scrollTop: aTag.offset().top - 80 }, 1); } $("a.TOPJS").click(function () { scrollToAnchor('TOP'); }); $("a.KEYJS").click(function () { scrollToAnchor('KEY'); }); $("a.def").click(function () { $('#container').animate({ "scrollLeft": "-=204" }, 200); }); $("a.abc").click(function () { $("#container").animate({ "scrollLeft": "+=204" }, 200); }); function createCookie(name,value,days) { var expires; if (days) { var date = new Date(); date.setMilliseconds(0); date.setSeconds(0); date.setMinutes(0); date.setHours(0); date.setDate(date.getDate()+days); expires = "; expires="+date.toGMTString(); } else expires = ""; document.cookie = name+"="+value+expires+"; path=/"; } function readCookie(name) { var nameEQ = name + "="; var ca = document.cookie.split(';'); for(var i=0;i < ca.length;i++) { var c = ca[i]; while (c.charAt(0)==' ') c = c.substring(1,c.length); if (c.indexOf(nameEQ) === 0) return c.substring(nameEQ.length,c.length); } return null; } function eraseCookie(name) { createCookie(name,"",-1); } }); </script> </head> <body> <div id="header_container"> <div id="header"> <a href="http://site.x/" target="_blank"><img src="http://placehold.it/300x80"></a> <select class="class-selector"> <option value="">-select class-</option> </select> <div class="classcycler"> <a href="#TOP"><font color=#EFEFEF>Next Class</font></a> <font color=red>|</font> <a href="#TOP"><font color=#EFEFEF>Previous Class</font></a> </div> <div id="header1"> Semi-Transparent Image <a href="#TOP"><font color=#EFEFEF>Up to Top</font></a> | <a href="#KEY"><font color=#EFEFEF>Down to Key</font></a> </div> </div> </div> <a id="TOP"></a> <div id="container"> <table id="gradient-style"> <tbody> <thead> <tr> <th scope="col"><a id="CLASS1"></a>Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class<br>Test 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class Data 1</th> <th scope="col">Class 1<br>Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1<br>Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1</th> <th scope="col">Class 1 Class 1</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> (data text)</th> <th scope="col">title text</th> <th scope="col">text</th> <th scope="col">text</th> <th scope="col">title text</th> <th scope="col">title text</th> </tr> </thead> <tr class="ft3"><td>testing data</td><td>testing data</td><td>test</td><td>class b</td><td>test4</td><td><div align="left">data</div></td><td><div align="left"> </div></td><td><div align="left"></div></td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>test</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><tr> <tr class="f3"><td>test</td><td>test</td><td>test</td><td>class a</td><td>test2</td><td><div align="left"> </div></td><td><div align="left"></div></td><td><div align="left"></div></td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>test</td><tr> <thead> <tr> <th scope="col"><a id="CLASS2"></a>Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class<br>Test 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class Data 2</th> <th scope="col">Class 2<br>Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2<br>Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2</th> <th scope="col">Class 2 Class 2</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> data text</th> <th scope="col">title text<br> (data text)</th> <th scope="col">title text</th> <th scope="col">text</th> <th scope="col">text</th> <th scope="col">title text</th> <th scope="col">title text</th> </tr> </thead> <tr class="ft3"><td>testing data</td><td>testing data</td><td>test</td><td>class f</td><td>test2</td><td><div align="left">data</div></td><td><div align="left"></div></td><td><div align="left">data</div></td><td>test</td><td>test</td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><tr> <tr><td>test</td><td>testing data</td><td>test</td><td>class f</td><td>test4</td><td><div align="left">data</div></td><td><div align="left"></div></td><td><div align="left"></div></td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><tr> <tr class="f3"><td>test</td><td>testing data</td><td>testing data</td><td>class d</td><td>test5</td><td><div align="left">data</div></td><td><div align="left"> </div></td><td><div align="left">data</div></td><td>test</td><td>test</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><tr> <tr><td>testing data</td><td>test</td><td>test</td><td>class f</td><td>test5</td><td><div align="left"></div></td><td><div align="left"></div></td><td><div align="left">data</div></td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>test</td><td>test</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>test</td><td>testing data</td><tr> <tr class="f2"><td>test</td><td>test</td><td>testing data</td><td>class a</td><td>test1</td><td><div align="left">data</div></td><td><div align="left"> </div></td><td><div align="left">data</div></td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>test</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>testing data</td><td>test</td><td>testing data</td><td>testing data</td><td>test</td><tr> </tbody> <tfoot> <tr> <th class="alt" colspan="34" scope="col"><a id="KEY"></a><img src="http://placehold.it/300x50"></th> </tr> <tr> <td colspan="34"><em><b>DATA DATA</b> - DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA </em></td> </tr> <tr> <td class="alt" colspan="34"><em><b>DAT DATA</b> - DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA </em></td> </tr> </tfoot> </table> </div> 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background: #000000 url('table-images/gradhead.png') repeat-x; border: 0px solid #666; bottom: 0; height: 95px; left: 0; position: fixed; width: 100%; } #footer { position: relative; margin: 0 auto; height: 100%; text-align: center; color: #FFF; } #footer1 { position: absolute; width: 103%; top: 50px; } #footer2 { position: absolute; width: 110%; top: 70px; } #footer .footleft { top: 45px; left: 2%; position: absolute; font-size:20px; } #footer .footright { top: 45px; right: 2%; position: absolute; font-size:20px; }

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  • use Jquery load to load content in adiv?

    - by Khalid Omar
    simply i'm doing a test i have a div called test and mvc action in the client controler the view and the controler public string testout() { return DateTime.Now.ToString(); } and i'm using jquery to update the div $("#B1").live("click", function() { $("#test").load("/client/testout"); return false; }); first time a click the bottun i see the date and time in the div test second time i click the botton nothing changed

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  • load balancer question c# asp.net

    - by Migs
    The place where I work has 2 servers and a load balancer. The setup is horrible since I have to manually make sure both servers have the same files. I know there are ways to automate this but it has not been implemented, hopefully soon (I have no control over this). I wrote an application that collects a bunch of information from a user, then creates a folder named after the email of the user in one of the servers. The problem is that I can't control in which server the folder gets created in, so let say a user goes in.. fills his stuff and his folder gets created in server 1, user goes away for a while and goes back to the site but this time the load balancer throws the user into server 2, now the user does something that needs to be saved into his folder but since it didn't created in this server an error occurs. What can I do about this? any suggestions? Thanks

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  • Shrinking TCP Window Size to 0 on Cisco ASA

    - by Brent
    Having an issue with any large file transfer that crosses our Cisco ASA unit come to an eventual pause. Setup Test1: Server A, FileZilla Client <- 1GBPS - Cisco ASA <- 1 GBPS - Server B, FileZilla Server TCP Window size on large transfers will drop to 0 after around 30 seconds of a large file transfer. RDP session then becomes unresponsive for a minute or two and then is sporadic. After a minute or two, the FTP transfer resumes, but at 1-2 MB/s. When the FTP transfer is over, the responsiveness of the RDP session returns to normal. Test2: Server C in same network as Server B, FileZilla Client <- local network - Server B, FileZilla Server File will transfer at 30+ MB/s. Details ASA: 5520 running 8.3(1) with ASDM 6.3(1) Windows: Server 2003 R2 SP2 with latest patches Server: VMs running on HP C3000 blade chasis FileZilla: 3.3.5.1, latest stable build Transfer: 20 GB SQL .BAK file Protocol: Active FTP over tcp/20, tcp/21 Switches: Cisco Small Business 2048 Gigabit running latest 2.0.0.8 VMware: 4.1 HP: Flex-10 3.15, latest version Notes All servers are VMs. Thoughts Pretty sure the ASA is at fault since a transfer between VMs on the same network will not show a shrinking Window size. Our ASA is pretty vanilla. No major changes made to any of the settings. It has a bunch of NAT and ACLs. Wireshark Sample No. Time Source Destination Protocol Info 234905 73.916986 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131981791 Win=65535 Len=0 234906 73.917220 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234907 73.917224 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234908 73.917231 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131984551 Win=64155 Len=0 234909 73.917463 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234910 73.917467 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234911 73.917469 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234912 73.917476 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131988691 Win=60015 Len=0 234913 73.917706 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234914 73.917710 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234915 73.917715 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131991451 Win=57255 Len=0 234916 73.917949 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234917 73.917953 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234918 73.917958 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131994211 Win=54495 Len=0 234919 73.918193 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234920 73.918197 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234921 73.918202 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131996971 Win=51735 Len=0 234922 73.918435 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234923 73.918440 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234924 73.918445 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131999731 Win=48975 Len=0 234925 73.918679 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234926 73.918684 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234927 73.918689 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132002491 Win=46215 Len=0 234928 73.918922 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234929 73.918927 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234930 73.918932 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132005251 Win=43455 Len=0 234931 73.919165 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234932 73.919169 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234933 73.919174 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132008011 Win=40695 Len=0 234934 73.919408 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234935 73.919413 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234936 73.919418 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132010771 Win=37935 Len=0 234937 73.919652 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234938 73.919656 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234939 73.919661 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132013531 Win=35175 Len=0 234940 73.919895 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234941 73.919899 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234942 73.919904 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132016291 Win=32415 Len=0 234943 73.920138 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234944 73.920142 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234945 73.920147 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132019051 Win=29655 Len=0 234946 73.920381 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234947 73.920386 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234948 73.920391 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132021811 Win=26895 Len=0 234949 73.920625 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234950 73.920629 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234951 73.920632 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234952 73.920638 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132025951 Win=22755 Len=0 234953 73.920868 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234954 73.920871 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234955 73.920876 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132028711 Win=19995 Len=0 234956 73.921111 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234957 73.921115 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234958 73.921120 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132031471 Win=17235 Len=0 234959 73.921356 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234960 73.921362 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234961 73.921370 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132034231 Win=14475 Len=0 234962 73.921598 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234963 73.921606 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234964 73.921613 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132036991 Win=11715 Len=0 234965 73.921841 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234966 73.921848 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234967 73.921855 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132039751 Win=8955 Len=0 234968 73.922085 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234969 73.922092 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234970 73.922099 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132042511 Win=6195 Len=0 234971 73.922328 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234972 73.922335 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234973 73.922342 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132045271 Win=3435 Len=0 234974 73.922571 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234975 73.922579 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234976 73.922586 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132048031 Win=675 Len=0 234981 75.866453 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 675 bytes 234985 76.020168 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0 234989 76.771633 2.2.2.2 1.1.1.1 TCP [TCP ZeroWindowProbe] ivecon-port ftp-data [ACK] Seq=132048706 Ack=1 Win=65535 Len=1 234990 76.771648 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0 234997 78.279701 2.2.2.2 1.1.1.1 TCP [TCP ZeroWindowProbe] ivecon-port ftp-data [ACK] Seq=132048706 Ack=1 Win=65535 Len=1 234998 78.279714 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0

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  • Shrinking Windows Size to 0 on Cisco ASA

    - by Brent
    Having an issue with any large file transfer that crosses our Cisco ASA unit come to an eventual pause. Setup Test1: Server A, FileZilla Client <- 1GBPS - Cisco ASA <- 1 GBPS - Server B, FileZilla Server TCP Window size on large transfers will drop to 0 after around 30 seconds of a large file transfer. RDP session then becomes unresponsive for a minute or two and then is sporadic. After a minute or two, the FTP transfer resumes, but at 1-2 MB/s. When the FTP transfer is over, the responsiveness of the RDP session returns to normal. Test2: Server C in same network as Server B, FileZilla Client <- local network - Server B, FileZilla Server File will transfer at 30+ MB/s. Details ASA: 5520 running 8.3(1) with ASDM 6.3(1) Windows: Server 2003 R2 SP2 with latest patches Server: VMs running on HP C3000 blade chasis FileZilla: 3.3.5.1, latest stable build Transfer: 20 GB SQL .BAK file Protocol: Active FTP over tcp/20, tcp/21 Switches: Cisco Small Business 2048 Gigabit running latest 2.0.0.8 VMware: 4.1 HP: Flex-10 3.15, latest version Notes All servers are VMs. Thoughts Pretty sure the ASA is at fault since a transfer between VMs on the same network will not show a shrinking Window size. Our ASA is pretty vanilla. No major changes made to any of the settings. It has a bunch of NAT and ACLs. Wireshark Sample No. Time Source Destination Protocol Info 234905 73.916986 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131981791 Win=65535 Len=0 234906 73.917220 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234907 73.917224 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234908 73.917231 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131984551 Win=64155 Len=0 234909 73.917463 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234910 73.917467 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234911 73.917469 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234912 73.917476 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131988691 Win=60015 Len=0 234913 73.917706 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234914 73.917710 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234915 73.917715 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131991451 Win=57255 Len=0 234916 73.917949 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234917 73.917953 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234918 73.917958 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131994211 Win=54495 Len=0 234919 73.918193 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234920 73.918197 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234921 73.918202 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131996971 Win=51735 Len=0 234922 73.918435 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234923 73.918440 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234924 73.918445 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131999731 Win=48975 Len=0 234925 73.918679 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234926 73.918684 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234927 73.918689 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132002491 Win=46215 Len=0 234928 73.918922 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234929 73.918927 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234930 73.918932 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132005251 Win=43455 Len=0 234931 73.919165 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234932 73.919169 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234933 73.919174 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132008011 Win=40695 Len=0 234934 73.919408 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234935 73.919413 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234936 73.919418 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132010771 Win=37935 Len=0 234937 73.919652 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234938 73.919656 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234939 73.919661 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132013531 Win=35175 Len=0 234940 73.919895 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234941 73.919899 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234942 73.919904 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132016291 Win=32415 Len=0 234943 73.920138 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234944 73.920142 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234945 73.920147 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132019051 Win=29655 Len=0 234946 73.920381 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234947 73.920386 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234948 73.920391 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132021811 Win=26895 Len=0 234949 73.920625 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234950 73.920629 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234951 73.920632 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234952 73.920638 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132025951 Win=22755 Len=0 234953 73.920868 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234954 73.920871 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234955 73.920876 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132028711 Win=19995 Len=0 234956 73.921111 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234957 73.921115 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234958 73.921120 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132031471 Win=17235 Len=0 234959 73.921356 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234960 73.921362 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234961 73.921370 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132034231 Win=14475 Len=0 234962 73.921598 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234963 73.921606 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234964 73.921613 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132036991 Win=11715 Len=0 234965 73.921841 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234966 73.921848 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234967 73.921855 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132039751 Win=8955 Len=0 234968 73.922085 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234969 73.922092 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234970 73.922099 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132042511 Win=6195 Len=0 234971 73.922328 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234972 73.922335 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234973 73.922342 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132045271 Win=3435 Len=0 234974 73.922571 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234975 73.922579 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234976 73.922586 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132048031 Win=675 Len=0 234981 75.866453 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 675 bytes 234985 76.020168 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0 234989 76.771633 2.2.2.2 1.1.1.1 TCP [TCP ZeroWindowProbe] ivecon-port ftp-data [ACK] Seq=132048706 Ack=1 Win=65535 Len=1 234990 76.771648 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0 234997 78.279701 2.2.2.2 1.1.1.1 TCP [TCP ZeroWindowProbe] ivecon-port ftp-data [ACK] Seq=132048706 Ack=1 Win=65535 Len=1 234998 78.279714 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0

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  • The dictionary need to add every word in SpellingMistakes and the line number but it only adds the l

    - by Will Boomsight
    modules import sys import string Importing and reading the files form the Command Prompt Document = open(sys.argv[1],"r") Document = open('Wc.txt', 'r') Document = Document.read().lower() Dictionary = open(sys.argv[2],"r") Dictionary = open('Dict.txt', 'r') Dictionary = Dictionary.read() def Format(Infile): for ch in string.punctuation: Infile = Infile.replace(ch, "") for no in string.digits: Infile = Infile.replace(no, " ") Infile = Infile.lower() return(Infile) def Corrections(Infile, DictWords): Misspelled = set([]) Infile = Infile.split() DictWords = DictWords.splitlines() for word in Infile: if word not in DictWords: Misspelled.add(word) Misspelled = sorted(Misspelled) return (Misspelled) def Linecheck(Infile,ErrorWords): Infile = Infile.split() lineno = 0 Noset = list() for line in Infile: lineno += 1 line = line.split() for word in line: if word == ErrorWords: Noset.append(lineno) sorted(Noset) return(Noset) def addkey(error,linenum): Nodict = {} for line in linenum: Nodict.setdefault(error,[]).append(linenum) return Nodict FormatDoc = Format(Document) SpellingMistakes = Corrections(FormatDoc,Dictionary) alp = str(SpellingMistakes) for word in SpellingMistakes: nSet = str(Linecheck(FormatDoc,word)) nSet = nSet.split() linelist = addkey(word, nSet) print(linelist) # # for word in Nodict.keys(): # Nodict[word].append(line) Prints each incorrect word on a new line

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  • Big Data Appliance X4-2 Release Announcement

    - by Jean-Pierre Dijcks
    Today we are announcing the release of the 3rd generation Big Data Appliance. Read the Press Release here. Software Focus The focus for this 3rd generation of Big Data Appliance is: Comprehensive and Open - Big Data Appliance now includes all Cloudera Software, including Back-up and Disaster Recovery (BDR), Search, Impala, Navigator as well as the previously included components (like CDH, HBase and Cloudera Manager) and Oracle NoSQL Database (CE or EE). Lower TCO then DIY Hadoop Systems Simplified Operations while providing an open platform for the organization Comprehensive security including the new Audit Vault and Database Firewall software, Apache Sentry and Kerberos configured out-of-the-box Hardware Update A good place to start is to quickly review the hardware differences (no price changes!). On a per node basis the following is a comparison between old and new (X3-2) hardware: Big Data Appliance X3-2 Big Data Appliance X4-2 CPU 2 x 8-Core Intel® Xeon® E5-2660 (2.2 GHz) 2 x 8-Core Intel® Xeon® E5-2650 V2 (2.6 GHz) Memory 64GB 64GB Disk 12 x 3TB High Capacity SAS 12 x 4TB High Capacity SAS InfiniBand 40Gb/sec 40Gb/sec Ethernet 10Gb/sec 10Gb/sec For all the details on the environmentals and other useful information, review the data sheet for Big Data Appliance X4-2. The larger disks give BDA X4-2 33% more capacity over the previous generation while adding faster CPUs. Memory for BDA is expandable to 512 GB per node and can be done on a per-node basis, for example for NameNodes or for HBase region servers, or for NoSQL Database nodes. Software Details More details in terms of software and the current versions (note BDA follows a three monthly update cycle for Cloudera and other software): Big Data Appliance 2.2 Software Stack Big Data Appliance 2.3 Software Stack Linux Oracle Linux 5.8 with UEK 1 Oracle Linux 6.4 with UEK 2 JDK JDK 6 JDK 7 Cloudera CDH CDH 4.3 CDH 4.4 Cloudera Manager CM 4.6 CM 4.7 And like we said at the beginning it is important to understand that all other Cloudera components are now included in the price of Oracle Big Data Appliance. They are fully supported by Oracle and available for all BDA customers. For more information: Big Data Appliance Data Sheet Big Data Connectors Data Sheet Oracle NoSQL Database Data Sheet (CE | EE) Oracle Advanced Analytics Data Sheet

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  • HTML5 data-* (custom data attribute)

    - by Renso
    Goal: Store custom data with the data attribute on any DOM element and retrieve it. Previously under HTML4 we used to use classes to store custom data, something to the affect of <input class="account void limit-5000 over-4999" /> and then have to parse the data out of the class In a book published by Peter-Paul Koch in 2007, ppk on JavaScript, he explains why and how to use custom attributes to make data more accessible to JavaScript, using name-value pairs. Accessing a custom attribute account-limit=5000 is much easier and more intuitive than trying to parse it out of a class, Plus, what if the class name for example "color-5" has a representative class definition in a CSS stylesheet that hides it away or worse some JavaScript plugin that automatically adds 5000 to it, or something crazy like that, just because it is a valid class name. As you can see there are quite a few reasons why using classes is a bad design and why it was important to define custom data attributes in HTML5. Syntax: You define the data attribute by simply prefixing any data item you want to store with any HTML element with "data-". For example to store our customers account data with a hidden input element: <input type="hidden" data-account="void" data-limit=5000 data-over=4999  /> How to access the data: account  -     element.dataset.account limit    -     element.dataset.limit You can also access it by using the more traditional get/setAttribute method or if using jQuery $('#element').attr('data-account','void') Browser support: All except for IE. There is an IE hack around this at http://gist.github.com/362081. Special Note: Be AWARE, do not use upper-case when defining your data elements as it is all converted to lower-case when reading it, so: data-myAccount="A1234" will not be found when you read it with: element.dataset.myAccount Use only lowercase when reading so this will work: element.dataset.myaccount

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  • Review: Data Modeling 101

    I just recently read “Data Modeling 101”by Scott W. Ambler where he gave an overview of fundamental data modeling skills. I think this article was excellent for anyone who was just starting to learn or refresh their skills in regards to the modeling of data.  Scott defines data modeling as the act of exploring data oriented structures.  He goes on to explain about how data models are actually used by defining three different types of models. Types of Data Models Conceptual Data Model  Logical Data Model (LDMs) Physical Data Model(PDMs) He further expands on modeling by exploring common data modeling notations because there are no industry standards for the practice of data modeling. Scott then defines how to actually model data by expanding on entities, attributes, identities, and relationships which are the basic building blocks of data models. In addition he discusses the value of normalization for redundancy and demoralization for performance. Finally, he discuss ways in which Developers and DBAs can become better data modelers through the use of practice, and seeking guidance from more experienced data modelers.

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  • Master Data Management – A Foundation for Big Data Analysis

    - by Manouj Tahiliani
    While Master Data Management has crossed the proverbial chasm and is on its way to becoming mainstream, businesses are being hammered by a new megatrend called Big Data. Big Data is characterized by massive volumes, its high frequency, the variety of less structured data sources such as email, sensors, smart meters, social networks, and Weblogs, and the need to analyze vast amounts of data to determine value to improve upon management decisions. Businesses that have embraced MDM to get a single, enriched and unified view of Master data by resolving semantic discrepancies and augmenting the explicit master data information from within the enterprise with implicit data from outside the enterprise like social profiles will have a leg up in embracing Big Data solutions. This is especially true for large and medium-sized businesses in industries like Retail, Communications, Financial Services, etc that would find it very challenging to get comprehensive analytical coverage and derive long-term success without resolving the limitations of the heterogeneous topology that leads to disparate, fragmented and incomplete master data. For analytical success from Big Data or in other words ROI from Big Data Investments, businesses need to acquire, organize and analyze the deluge of data to make better decisions. There will need to be a coexistence of structured and unstructured data and to maintain a tight link between the two to extract maximum insights. MDM is the catalyst that helps maintain that tight linkage by providing an understanding about the identity, characteristics of Persons, Companies, Products, Suppliers, etc. associated with the Big Data and thereby help accelerate ROI. In my next post I will discuss about patterns for co-existing Big Data Solutions and MDM. Feel free to provide comments and thoughts on above as well as Integration or Architectural patterns.

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  • How to Assure an Effective Data Model

    As a general rule in my opinion the effectiveness of a data model can be directly related to the accuracy and complexity of a project’s requirements. For example there is no need to work on very detailed data models when the details surrounding a specific data model have not been defined or even clarified. Developing data models when the clarity of project requirements is limited tends to introduce designed issues because the proper details to create an effective data model are not even known. One way to avoid this issue is to create data models that correspond to the complexity of the existing project requirements so that when requirements are updated then new data models can be created based any new discoveries regarding requirements on a fine grain level.  This allows for data models to be composed of general entities to be created initially when a project’s requirements are very vague and then the entities are refined as new and more substantial requirements are defined or redefined. This promotes communication amongst all stakeholders within a project as they go through the process of defining and finalizing project requirements.In addition, here are some general tips that can be applied to projects in regards to data modeling.Initially model all data generally and slowly reactor the data model as new requirements and business constraints are applied to a project.Ensure that data modelers have the proper tools and training they need to design a data model accurately.Create a common location for all project documents so that everyone will be able to review a project’s data models along with any other project documentation.All data models should follow a clear naming schema that tells readers the intended purpose for the data and how it is going to be applied within a project.

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  • High CPU load - Ubuntu 14.04

    - by watt
    I noticed that sometimes when browsing (with other processes in the background), I get very high CPU load for the browser process (over 100%) and the computer becomes really slow. I tried switching from Firefox (with just a few extensions) to Chromium, but same thing happens without me visiting graphics-intense sites, flash sites or anything like that. I also noticed python or node (when running "make") produce the same high CPU load from time to time so this is not necessarily browser-related. When I only have a browser open, it doesn't seem to happen and everything is fine in Windows 7. I switched from unity to gnome3 with no effect. Specs: lenovo w510 (4gb RAM, i7 q820 @ 1.73) + up to date Ubuntu 14.04 64bit. Printscreen: http://imgur.com/8MZJNKC Do you guys have any idea why this might happen? Please let me know if there's other info you need. Thanks!

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  • alsHigh CPU load - Ubuntu 14.04

    - by watt
    I noticed that sometimes when browsing (with other processes in the background), I get very high CPU load for the browser process (over 100%) and the computer becomes really slow. I tried switching from Firefox (with just a few extensions) to Chromium, but same thing happens without me visiting graphics-intense sites, flash sites or anything like that. I also noticed python or node (when running "make") produce the same high CPU load from time to time so this is not necessarily browser-related. When I only have a browser open, it doesn't seem to happen and everything is fine in Windows 7. I switched from unity to gnome3 with no effect. Specs: lenovo w510 (4gb RAM, i7 q820 @ 1.73) + up to date Ubuntu 14.04 64bit. Printscreen: http://imgur.com/8MZJNKC Do you guys have any idea why this might happen? Please let me know if there's other info you need. Thanks!

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