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  • Sesame Data Browser: filtering, sorting, selecting and linking

    - by Fabrice Marguerie
    I have deferred the post about how Sesame is built in favor of publishing a new update.This new release offers major features such as the ability to quickly filter and sort data, select columns, and create hyperlinks to OData. Filtering, sorting, selecting In order to filter data, you just have to use the filter row, which becomes available when you click on the funnel button: You can then type some text and select an operator: The data grid will be refreshed immediately after you apply a filter. It works in the same way for sorting. Clicking on a column will immediately update the query and refresh the grid.Note that multi-column sorting is possible by using SHIFT-click: Viewing data is not enough. You can also view and copy the query string that returns that data: One more thing you can to shape data is to select which columns are displayed. Simply use the Column Chooser and you'll be done: Again, this will update the data and query string in real time: Linking to Sesame, linking to OData The other main feature of this release is the ability to create hyperlinks to Sesame. That's right, you can ask Sesame to give you a link you can display on a webpage, send in an email, or type in a chat session. You can get a link to a connection: or to a query: You'll note that you can also decide to embed Sesame in a webpage... Here are some sample links created via Sesame: Netflix movies with high ratings, sorted by release year Netflix horror movies from the 21st century Northwind discontinued products with remaining stock Netflix empty connection I'll give more examples in a post to follow. There are many more minor improvements in this release, but I'll let you find out about them by yourself :-)Please try Sesame Data Browser now and let me know what you think! PS: if you use Sesame from the desktop, please use the "Remove this application" command in the context menu of the destkop app and then "Install on desktop" again in your web browser. I'll activate automatic updates with the next release.

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  • Webinar: NoSQL - Data Center Centric Application Enablement

    - by Charles Lamb
    NoSQL - Data Center Centric Application Enablement AUGUST 6 WEBINAR About the Webinar The growth of Datacenter infrastructure is trending out of bounds, along with the pace in user activity and data generation in this digital era. However, the nature of the typical application deployment within the data center is changing to accommodate new business needs. Those changes introduce complexities in application deployment architecture and design, which cascade into requirements for a new generation of database technology (NoSQL) destined to ease that complexity. This webcast will discuss the modern data centers data centric application, the complexities that must be dealt with and common architectures found to describe and prescribe new data center aware services. Well look at the practical issues in implementation and overview current state of art in NoSQL database technology solving the problems of data center awareness in application development. REGISTER NOW>> MORE INFORMATION >> NOTE! All attendees will be entered to win a guest pass to the NoSQL Now! 2013 Conference & Expo. About the Speaker Robert Greene, Oracle NoSQL Product Management Robert GreeneRobert Greene is a principle product manager / strategist for Oracle’s NoSQL Database technology. Prior to Oracle he was the V.P. Technology for a NoSQL Database company, Versant Corporation, where he set the strategy for alignment with Big Data technology trends resulting in the acquisition of the company by Actian Corp in 2012. Robert has been an active member of both commercial and open source initiatives in the NoSQL and Object Relational Mapping spaces for the past 18 years, developing software, leading project teams, authoring articles and presenting at major conferences on these topics. In his previous life, Robert was an electronic engineer developing first generation wireless, spread spectrum based security systems.

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  • Internal Data Masking

    - by ACShorten
    By default, the data in the product is unmasked for authorized users. If particular data within the object is considered a candidate for data masking then the masking capabilities with the product can be used to mask the data in an appropriate fashion. The inbuilt Data Masking capabilities of the Oracle Utilities Application Framework uses a number of configuration elements: An algorithm, of type F1-MASK, is specified to configure the elements of the data masking including the masking character, number of suffix characters left unmasked, characters to ignore in the string, the application service, security type and authorization levels applicable to the mask. A Data Masking Feature Configuration is created to define where the algorithm applies. The specification of the feature allows you to define the fields to encrypt using the configured algorithm. The algorithm can be attached to a schema field, table field, characteristic, search field and even a child record (such as an identifier). The appropriate user groups are then connected to the application services with the appropriate service types and level to indicate whether the masking applies to the user group or not. For example, say there is a field called CCNBR in the product which holds the credit card details. I would create an algorithm, say CCformatCC, to mask the credit card number with the last few digits as unmasked (as the standard in most systems dictate). I would specify on the Field Mask the following: field="CCNBR", alg="CMformatCC" On the algorithm CMfomatCC, I would specify the mask, application service, security type and the authorization level which users would see the credit card unmasked. To finish the configuration off and to implemention I would connect the appropriate user groups to the application service I specified with the security type and appropriate authorization level for that group. Whenever a user accesses the CCNBR field on any of the maintenance screens, searches and other screens that use the CCNBR meta data definition would then be masked according to the user group that the user was a member of. Refer to the documentation supplied with F1-MASK algorithm type entry for more examples of what is possible.

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  • Cross-Platform Migration using Heterogeneous Data Guard

    - by Roy F. Swonger
    Most people think of Data Guard as a disaster recovery solution, and it certainly excels in that role. However, did you know that you can also use Data Guard for platform migration under some conditions? While you would normally have your primary and standby Data Guard systems running on the same OS and hardware platform, there are some heterogeneous combinations of primary and stanby system that are supported by Data Guard Physical Standby. One example of heterogenous Data Guard support is the ability to go between Linux and Windows on many processor architectures. Another is the support for environments that are running HP-UX on both PA-RIsC and Itanium hardware. Brand new in 11.2.0.2 is the ability to have both SPARC Solaris and IBM AIX on Power Systems in the same Data Guard environment. See My Oracle Support note 413484.1 for all the details about supported platform combinations. So, why mention this in an upgrade blog? Simple: much of the time required for a platform migration is usually spent copying files from one system to another. If you are moving between systems that are supported by heterogenous Data Guard, then you can reduce that migration downtime to a matter of minutes. This can be a big win when downtime is at a premium (and isn't downtime always at a premium? In addition, you get the benefit of being able to keep the old and new environments synchronized until you are sure the migration is successful! A great case study of using Data Guard for a technology refresh is located on this OTN page. The case study showing CERN's methodology isn't highlighted as a link on the overview page, but it is clickable. As always, make sure you are fully versed on the details and restrictions by reading the available documentation and MOS notes. Happy migrating!

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  • SFTP permission denied on files owned by www-data

    - by Charles Roper
    I have a pretty standard server set up running Apache and PHP. An app I am running creates files and these are owned by the Apache user www-data. Files that I upload via SFTP are owned by my own user charlesr. All files are part of the www-data group. My problem is that I cannot modify or overwrite any of the files via SFTP which are owned by www-data, even though charlesr is part of the www-data group. I can modify the files no problem via a SSH session. So I'm not sure what to do. How do I give my SFTP session permissions to modify www-data owned files? For a bit of background, these are the notes I wrote for myself when setting-up the server: Now set up permissions on `/var/www` where your files are served from by default: $ sudo adduser $USER www-data $ sudo chgrp -R www-data /var/www $ sudo chmod -R g+rw /var/www $ sudo chmod -R g+s /var/www Now log out and log in again to make the changes take hold. The previous set of commands does the following: 1. adds the current user ($USER) to the `www-data` group; 2. changes `/var/www` to belong to the `www-data` group; 3. adds read/write permissions to the group that `/var/www` belongs to; 4. sets the SGID bit on `/var/www`; this final point bears some explaining. And then I go on to explain to myself what setting the SGID bit means (i.e. all files created in /var/www become part of the www-data group automatically). Btw, nothing feels sweeter than going back and reading your own detailed notes on the what, how and why of your own server set up when trying to troubleshoot like this - I recommend it highly to all beginners like myself :-)

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  • How do I find the JavaScript that is invoked when I click on a button or a link in a web-page (part of a data mining project)?

    - by aste123
    I tried to use the 'inspect element' of the firebug addon for Firefox but it doesn't give me any link to the javascript. For example I got this from the firebug addon: < a href="javascript:" text of the link < /a But there is no link to the actual javascript or anything that I can use to directly go to the said link. How do I accomplish this? I need this as part of a personal data mining project that I am doing.

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  • Spreading incoming batched data into a real-time stream

    - by pr1001
    I would like to display some events in 'real-time'. However, I must fetch the data from another source. I can request the last X minutes, though the source is updated approximately every 5 minutes. This means that there will be a delay between the most recent data retrieved and the point in time that I make the request. Second, because I will be receiving a batch of data, I don't want to just fire out all the events down a socket once my fetcher has retrieved it: I would like to spread out the events so that they are both accurately spaced amongst each other and in sync with their original occurrences (e.g. an event is always displayed 6 minutes after it actually happened). My thought is to fetch the data every 5 minutes from the source, knowing that I won't get the very latest data. The original data would be then queued to be sent down the socket 7.5 minutes from its original timestamp – that is, at least ~2.5 minutes from when its batch was fetched and at most 7.5 minutes since then. My question is this: is this the best way to approach the problem? Does this problem have any standard approaches or associated literature related to implementation best-practices and edge cases? I am a bit worried that the frequency of my fetches and the frequency in which the source is updated will get out of sync, leading to points where no data will be retrieved from the source. However, since my socket delay is greater than my fetch frequency, the subsequent fetch should retrieve newer data before the socket queue is empty. Is that correct? Am I missing something? Thanks!

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  • Using R on your Oracle Data Warehouse

    - by jean-pierre.dijcks
    Since it is Predictive Analytics World in our backyard (or are we San Francisco’s backyard…?) I figured it is well worth the time to dust of some old but important news. With big data (should we start calling it “any data analytics” instead?) being the buzz word and analytics the key operative goal, not moving data around is becoming more and more critical to the business users. Why? Because instead of spending time on moving data around into your next analytics server you should be running analytics on those CPUs. You could always do this with Oracle Data Mining within the Oracle Database. But a lot of folks want to leverage R as their main tool. Well, this article describes how you can do this, since 2010… As Casimir Saternos concludes in the article; “There is a growing awareness of the need to effectively analyze astronomical amounts of data, much of which is stored in Oracle databases. Statistics and modeling techniques are used to improve a wide variety of business functions. ODM accessed using the R language increases the value of your data by uncovering additional information. RODM is a powerful tool to enable your organization to make predictions, classify data, and create visualizations that maximize effectiveness and efficiencies.” Happy Analysis!

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  • What is a Relational Database Management System (RDBMS)?

    A Relational Database Management System (RDBMS)  can also be called a traditional database that uses a Structured Query Language (SQL) to provide access to stored data while insuring the integrity of the data. The data is stored in a collection of tables that is defined by relationships between data items. In addition, data permitted to be joined in new relationships. Traditional databases primarily process data through transactions called transaction processing. Transaction processing is the methodology of grouping related business operations based predefined business events. An example of this can be seen when a person attempts to purchase an item from an online e-tailor. The business must execute specific operations for a related  business event. In this case, a business must store the following information: Customer Info, Order Info, Order Item Info, Customer Payment Data, Payment Results, and Current Order Status. Example: Pseudo SQL Operations needed for processing an online e-tailor sale. Insert Customer into Customers Insert New Order into Orders Insert Each New Order Item into OrderItems Insert Customer Payment Info into PaymentInfo Insert Payment Processing Result into PaymentDetails Update Customer for Current Order Status Common Relational Database Management System Microsoft SQL Server Microsoft Access Oracle MySQL DB2 It is important to note that no current RDBMS has fully implemented all of the Relational Principles. Common RDBMS Traits Volatile Data Supports Transaction Processing Optimized for Updates and Simple Queries 

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  • No database selected error in CodeIgniter running on MAMP stack

    - by Apophenia Overload
    First off, does anyone know of a good place to get help with CodeIgniter? The official community forums are somewhat disappointing in terms of getting many responses. I have ci installed on a regular MAMP stack, and I’m working on this tutorial. However, I have only gone through the Created section, and currently I am getting a No database selected error. Model: <?php class submit_model extends Model { function submitForm($school, $district) { $data = array( 'school' => $school, 'district' => $district ); $this->db->insert('your_stats', $data); } } View: <?php $this->load->helper('form'); ?> <?php echo form_open('main'); ?> <p> <?php echo form_input('school'); ?> </p> <p> <?php echo form_input('district'); ?> </p> <p> <?php echo form_submit('submit', 'Submit'); ?> </p> <?php echo form_close(); ?> Controller: <?php class Main extends controller { function index() { // Check if form is submitted if ($this->input->post('submit')) { $school = $this->input->xss_clean($this->input->post('school')); $district = $this->input->xss_clean($this->input->post('district')); $this->load->model('submit_model'); // Add the post $this->submit_model->submitForm($school, $district); } $this->load->view('main_view'); } } database.php $db['default']['hostname'] = "localhost:8889"; $db['default']['username'] = "root"; $db['default']['password'] = "root"; $db['default']['database'] = "stats_test"; $db['default']['dbdriver'] = "mysql"; $db['default']['dbprefix'] = ""; $db['default']['pconnect'] = TRUE; $db['default']['db_debug'] = TRUE; $db['default']['cache_on'] = FALSE; $db['default']['cachedir'] = ""; $db['default']['char_set'] = "utf8"; $db['default']['dbcollat'] = "utf8_general_ci"; config.php $config['base_url'] = "http://localhost:8888/ci/"; ... $config['index_page'] = "index.php"; ... $config['uri_protocol'] = "AUTO"; So, how come it’s giving me this error message? A Database Error Occurred Error Number: 1046 No database selected INSERT INTO `your_stats` (`school`, `district`) VALUES ('TJHSST', 'FairFax') Is there any way for me to test if CodeIgniter can actually detect the mySQL databases I've created with phpMyAdmin in my MAMP stack?

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  • Olympics data available for all on Windows Azure SQL Database and Power View

    - by jamiet
    Are you looking around for some decent test data for your BI demos? Well, if so, Microsoft have provided some data about all medals won at the Olympics Games (1900 to 2008) at OlympicsData workbook - Excel, SSIS, Azure sample; it provides analysis over athletes, countries, medal type, sport, discipline and various other dimensions. The data has been provided in an Excel workbook along with instructions on how to load the data into a Windows Azure SQL Database using SQL Server Integration Services (SSIS). Frankly though, the rigmarole of standing up your own Windows Azure SQL Database ok, SQL Azure database, is both costly (SQL Azure isn’t free) and time consuming (the provided instructions aren’t exactly an idiot’s guide and getting SSIS to work properly with Excel isn’t a barrel of laughs either). To ease the pain for all you BI folks out there that simply want to party on the data I have loaded it all into the SQL Azure database that I use for hosting AdventureWorks on Azure. You can read more about AdventureWorks on Azure below however I’ll summarise here by saying it is a SQL Azure database provided for the use of the SQL Server community and which is supported by voluntary donations. To view the data the credentials you need are: Server mhknbn2kdz.database.windows.net  Database AdventureWorks2012 User sqlfamily Password sqlf@m1ly Type those into SSMS and away you go, the data is provided in four tables [olympics].[Sport], [olympics].[Discipline], [olympics].[Event] & [olympics].[Medalist]: I figured this would be a good candidate for a Power View report so I fired up Excel 2013 and built such a report to slice’n’dice through the data – here are some screenshots that should give you a flavour of what is available: A view of all the available data Where do all the gymastics medals go? Which countries do top ten all-time medal winners come from? You get the idea. There is masses of information here and if you have Excel 2013 handy Power View provides a quick and easy way of surfing through it. To save you the bother of setting up the Power View report yourself you can have the one that I took these screenshots from, it is available on my SkyDrive at OlympicsAnalysis.xlsx so just hit the link and download to play to your heart’s content. Party on, people! As I said above the data is hosted on a SQL Azure database that I use for hosting “AdventureWorks on Azure” which I first announced in March 2013 at AdventureWorks2012 now available for all on SQL Azure. I’ll repeat the pertinent parts of that blog post here: I am pleased to announce that as of today … [AdventureWorks2012] now resides on SQL Azure and is available for anyone, absolutely anyone, to connect to and use for their own means. This database is free for you to use but SQL Azure is of course not free so before I give you the credentials please lend me your ears eyes for a short while longer. AdventureWorks on Azure is being provided for the SQL Server community to use and so I am hoping that that same community will rally around to support this effort by making a voluntary donation to support the upkeep which, going on current pricing, is going to be $119.88 per year. If you would like to contribute to keep AdventureWorks on Azure up and running for that full year please donate via PayPal to [email protected] Any amount, no matter how small, will help. If those 50+ people that retweeted me beforehand all contributed $2 then that would just about be enough to keep this up for a year. If the community contributes more than we need then there are a number of additional things that could be done: Host additional databases (Northwind anyone??) Host in more datacentres (this first one is in Western Europe) Make a charitable donation That last one, a charitable donation, is something I would really like to do. The SQL Community have proved before that they can make a significant contribution to charitable orgnisations through purchasing the SQL Server MVP Deep Dives book and I harbour hopes that AdventureWorks on Azure can continue in that vein. So please, if you think AdventureWorks on Azure is something that is worth supporting please make a contribution. I’d like to emphasize that last point. If my hosting this Olympics data is useful to you please support this initiative by donating. Thanks in advance. @Jamiet

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  • Making user input/math on data fast, unlike excel type programs

    - by proGrammar
    I'm creating a research platform solely for myself to do some research on data. Programs like excel are terribly slow for me so I'm trying to come up with another solution. Originally I used excel. A1 was the cell that contained the data and all other cells in use calculated something on A1, or on other cells, that all could be in the end traced to A1. A1 was like an element of an array, I then I incremented it to go through all my data. This was way too slow. So the only other option I found originally was to hand code in c# the calculations inside a loop. Then I simply recompiled each time I changed my math. This was terribly slow to do and I had to order everything correctly so things would update correctly (dependencies). I could have also used events, but hand coding events for each cell like calculation would also be very slow. Next I created an application to read Excel and to perfectly imitate it. Which is what I now use. Basically I write formulas onto a fraction of my data to get live results inside excel. Then my program reads excel, writes another c# program, compiles it, and runs that program which runs my excel created formulas through a lot more data a whole lot faster. The advantage being my application dependency sorts everything (or I could use events) so I don't have to (like excel does) And of course the speed. But now its not a single application anymore. Instead its 2 applications, one which only reads my formulas and writes another program. The other one being the result which only lives for a short while before I do other runs through my data with different formulas / settings. So I can't see multiple results at one time without introducing even more programs like a database or at least having the 2 applications talking to each other. My idea was to have a dll that would be written, compiled, loaded, and unloaded again and again. So a self-updating program, sort of. But apparently that's not possible without another appdomain which means data has to be marshaled to be moved between the appdomains. Which would slow things down, not for summaries, but for other stuff I need to do with all my data. I'm also forgetting to mention a huge problem with restarting an application again and again which is having to reload ALL my data into memory again and again. But its still a whole lot faster than excel. I'm really super puzzled as to what people do when they want to research data fast. I'm completely unable to have a program accept user input and having it fast. My understanding is that it would have to do things like excel which is to evaluate strings again and again. So my only option is to repeatedly compile applications. Do I have a correct understanding on computer science? I've only just began programming, and didn't think I would have to learn much to do some simple math on data. My understanding is its either compiling my user defined stuff to a program or evaluating them from a string or something stupid again and again. And my only option is to probably switch operating systems or something to be able to have a program compile and run itself without stopping (writing/compiling dll, loading dll to program, unloading, and repeating). Can someone give me some idea on how computers work? Is anything better possible? Like a running program, that can accept user input and compile it and then unload it later? I mean heck operating systems dont need to be RESTARTED with every change to user input. What is this the cave man days? Sorry, it's just so super frustrating not knowing what one can do, and can't do. If only I could understand and learn this stuff fast enough.

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  • Java Cloud Service Integration using Web Service Data Control

    - by Jani Rautiainen
    Java Cloud Service (JCS) provides a platform to develop and deploy business applications in the cloud. In Fusion Applications Cloud deployments customers do not have the option to deploy custom applications developed with JDeveloper to ensure the integrity and supportability of the hosted application service. Instead the custom applications can be deployed to the JCS and integrated to the Fusion Application Cloud instance.This series of articles will go through the features of JCS, provide end-to-end examples on how to develop and deploy applications on JCS and how to integrate them with the Fusion Applications instance.In this article a custom application integrating with Fusion Application using Web Service Data Control will be implemented. 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif";} Pre-requisites Access to Cloud instance In order to deploy the application access to a JCS instance is needed, a free trial JCS instance can be obtained from Oracle Cloud site. To register you will need a credit card even if the credit card will not be charged. To register simply click "Try it" and choose the "Java" option. The confirmation email will contain the connection details. See this video for example of the registration. Once the request is processed you will be assigned 2 service instances; Java and Database. Applications deployed to the JCS must use Oracle Database Cloud Service as their underlying database. So when JCS instance is created a database instance is associated with it using a JDBC data source. The cloud services can be monitored and managed through the web UI. For details refer to Getting Started with Oracle Cloud. JDeveloper JDeveloper contains Cloud specific features related to e.g. connection and deployment. To use these features download the JDeveloper from JDeveloper download site by clicking the “Download JDeveloper 11.1.1.7.1 for ADF deployment on Oracle Cloud” link, this version of JDeveloper will have the JCS integration features that will be used in this article. For versions that do not include the Cloud integration features the Oracle Java Cloud Service SDK or the JCS Java Console can be used for deployment. For details on installing and configuring the JDeveloper refer to the installation guide. For details on SDK refer to Using the Command-Line Interface to Monitor Oracle Java Cloud Service and Using the Command-Line Interface to Manage Oracle Java Cloud Service. Create Application In this example the “JcsWsDemo” application created in the “Java Cloud Service Integration using Web Service Proxy” article is used as the base. Create Web Service Data Control In this example we will use a Web Service Data Control to integrate with Credit Rule Service in Fusion Applications. The data control will be used to query data from Fusion Applications using a web service call and present the data in a table. To generate the data control choose the “Model” project and navigate to "New -> All Technologies -> Business Tier -> Data Controls -> Web Service Data Control" and enter following: Name: CreditRuleServiceDC URL: https://ic-[POD].oracleoutsourcing.com/icCnSetupCreditRulesPublicService/CreditRuleService?WSDL Service: {{http://xmlns.oracle.com/apps/incentiveCompensation/cn/creditSetup/creditRule/creditRuleService/}CreditRuleService On step 2 select the “findRule” operation: Skip step 3 and on step 4 define the credentials to access the service. Do note that in this example these credentials are only used if testing locally, for JCS deployment credentials need to be manually updated on the EAR file: Click “Finish” and the proxy generation is done. Creating UI In order to use the data control we will need to populate complex objects FindCriteria and FindControl. For simplicity in this example we will create logic in a managed bean that populates the objects. Open “JcsWsDemoBean.java” and add the following logic: Map findCriteria; Map findControl; public void setFindCriteria(Map findCriteria) { this.findCriteria = findCriteria; } public Map getFindCriteria() { findCriteria = new HashMap(); findCriteria.put("fetchSize",10); findCriteria.put("fetchStart",0); return findCriteria; } public void setFindControl(Map findControl) { this.findControl = findControl; } public Map getFindControl() { findControl = new HashMap(); return findControl; } Open “JcsWsDemo.jspx”, navigate to “Data Controls -> CreditRuleServiceDC -> findRule(Object, Object) -> result” and drag and drop the “result” node into the “af:form” element in the page: On the “Edit Table Columns” remove all columns except “RuleId” and “Name”: On the “Edit Action Binding” window displayed enter reference to the java class created above by selecting “#{JcsWsDemoBean.findCriteria}”: Also define the value for the “findControl” by selecting “#{JcsWsDemoBean.findControl}”. Deploy to JCS For WS DC the authentication details need to be updated on the connection details before deploying. Open “connections.xml” by navigating “Application Resources -> Descriptors -> ADF META-INF -> connections.xml”: Change the user name and password entry from: <soap username="transportUserName" password="transportPassword" To match the access details for the target environment. Follow the same steps as documented in previous article ”Java Cloud Service ADF Web Application”. Once deployed the application can be accessed with URL: https://java-[identity domain].java.[data center].oraclecloudapps.com/JcsWsDemo-ViewController-context-root/faces/JcsWsDemo.jspx When accessed the first 10 rules in the system are displayed: Summary In this article we learned how to integrate with Fusion Applications using a Web Service Data Control in JCS. In future articles various other integration techniques will be covered. 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif";}

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  • Need MySQL RLIKE expression to exclude certain strings ending in particular characters...

    - by user299508
    So I've been working with RLIKE to pull some data in a new application and mostly enjoying it. To date I've been using RLIKE queries to return 3 types of results (files, directories and everything). The queries (and example results) follow: **All**: SELECT * FROM public WHERE obj_owner_id='test' AND obj_namespace RLIKE '^user/test/public/[-0-9a-z_./]+$' ORDER BY obj_namespace user/test/public/a-test/.comment user/test/public/a-test/.delete user/test/public/directory/ user/test/public/directory/image.jpg user/test/public/index user/test/public/site-rip user/test/public/site-rip2 user/test/public/test-a user/test/public/widget-test **Files**: SELECT * FROM public WHERE obj_owner_id='test' AND obj_namespace RLIKE '^user/test/public/[-0-9a-z_./]+[-0-9a-z_.]+$' ORDER BY obj_namespace user/test/public/a-test/.comment user/test/public/a-test/.delete user/test/public/directory/image.jpg user/test/public/index user/test/public/site-rip user/test/public/site-rip2 user/test/public/test-a user/test/public/widget-test **Directories**: SELECT * FROM public WHERE obj_owner_id='test' AND obj_namespace RLIKE '^user/test/public/[-0-9a-z_./]+/$' ORDER BY obj_namespace user/test/public/directory/ This works well for the above 3 basic scenarios but under certain situations I'll be including special 'suffixes' I'd like to be excluded from the results of queries (without having to resort to PHP functions to do it). A good example of such a string would be: user/test/public/a-test/.delete That data (there are more rows then just obj_namespace) is considered deleted and in the Files and All type queries I'd like it to be omitted within the expression if possible. Same goes for the /.comments and all such meta data will always be in the same format: /.[sometext] I'd hoped to use this feature extensively throughout my application, so I'm hoping there might be a very simple answer. (crosses fingers) Anyway, thanks as always for any/all responses and feedback.

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  • Top 10 collection completion - a monster in-query formula in MySQL?

    - by Andrew Heath
    I've got the following tables: User Basic Data (unique) [userid] [name] [etc] User Collection (one to one) [userid] [game] User Recorded Plays (many to many) [userid] [game] [scenario] [etc] Game Basic Data (unique) [game] [total_scenarios] I would like to output a table that shows the collection play completion percentage for the Top 10 users in descending order of %: Output Table [userid] [collection_completion] 3 95% 1 81% 24 68% etc etc In my mind, the calculation sequence for ONE USER is: grab user's total owned scenarios from User Collection joined with Game Basic Data and COUNT(gbd.total_scenarios) grab all recorded plays by COUNT(DISTINCT scenario) for that user Divide all recorded plays by total owned scenarios So that's 2 queries and a little PHP massage at the end. For a list of users sorted by completion percentage things get a little more complicated. I figure I could grab all users' collection totals in one query, and all users recorded plays in another, and then do the calcs and sort the final array in PHP, but it seems like overkill to potentially be doing all that for 1000+ users when I only ever want the Top 10. Is there a wicked monster query in MySQL that could do all that and LIMIT 10? Or is sticking with PHP handling the bulk of the work the way to go in this case?

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  • The Sensemaking Spectrum for Business Analytics: Translating from Data to Business Through Analysis

    - by Joe Lamantia
    One of the most compelling outcomes of our strategic research efforts over the past several years is a growing vocabulary that articulates our cumulative understanding of the deep structure of the domains of discovery and business analytics. Modes are one example of the deep structure we’ve found.  After looking at discovery activities across a very wide range of industries, question types, business needs, and problem solving approaches, we've identified distinct and recurring kinds of sensemaking activity, independent of context.  We label these activities Modes: Explore, compare, and comprehend are three of the nine recognizable modes.  Modes describe *how* people go about realizing insights.  (Read more about the programmatic research and formal academic grounding and discussion of the modes here: https://www.researchgate.net/publication/235971352_A_Taxonomy_of_Enterprise_Search_and_Discovery) By analogy to languages, modes are the 'verbs' of discovery activity.  When applied to the practical questions of product strategy and development, the modes of discovery allow one to identify what kinds of analytical activity a product, platform, or solution needs to support across a spread of usage scenarios, and then make concrete and well-informed decisions about every aspect of the solution, from high-level capabilities, to which specific types of information visualizations better enable these scenarios for the types of data users will analyze. The modes are a powerful generative tool for product making, but if you've spent time with young children, or had a really bad hangover (or both at the same time...), you understand the difficult of communicating using only verbs.  So I'm happy to share that we've found traction on another facet of the deep structure of discovery and business analytics.  Continuing the language analogy, we've identified some of the ‘nouns’ in the language of discovery: specifically, the consistently recurring aspects of a business that people are looking for insight into.  We call these discovery Subjects, since they identify *what* people focus on during discovery efforts, rather than *how* they go about discovery as with the Modes. Defining the collection of Subjects people repeatedly focus on allows us to understand and articulate sense making needs and activity in more specific, consistent, and complete fashion.  In combination with the Modes, we can use Subjects to concretely identify and define scenarios that describe people’s analytical needs and goals.  For example, a scenario such as ‘Explore [a Mode] the attrition rates [a Measure, one type of Subject] of our largest customers [Entities, another type of Subject] clearly captures the nature of the activity — exploration of trends vs. deep analysis of underlying factors — and the central focus — attrition rates for customers above a certain set of size criteria — from which follow many of the specifics needed to address this scenario in terms of data, analytical tools, and methods. We can also use Subjects to translate effectively between the different perspectives that shape discovery efforts, reducing ambiguity and increasing impact on both sides the perspective divide.  For example, from the language of business, which often motivates analytical work by asking questions in business terms, to the perspective of analysis.  The question posed to a Data Scientist or analyst may be something like “Why are sales of our new kinds of potato chips to our largest customers fluctuating unexpectedly this year?” or “Where can innovate, by expanding our product portfolio to meet unmet needs?”.  Analysts translate questions and beliefs like these into one or more empirical discovery efforts that more formally and granularly indicate the plan, methods, tools, and desired outcomes of analysis.  From the perspective of analysis this second question might become, “Which customer needs of type ‘A', identified and measured in terms of ‘B’, that are not directly or indirectly addressed by any of our current products, offer 'X' potential for ‘Y' positive return on the investment ‘Z' required to launch a new offering, in time frame ‘W’?  And how do these compare to each other?”.  Translation also happens from the perspective of analysis to the perspective of data; in terms of availability, quality, completeness, format, volume, etc. By implication, we are proposing that most working organizations — small and large, for profit and non-profit, domestic and international, and in the majority of industries — can be described for analytical purposes using this collection of Subjects.  This is a bold claim, but simplified articulation of complexity is one of the primary goals of sensemaking frameworks such as this one.  (And, yes, this is in fact a framework for making sense of sensemaking as a category of activity - but we’re not considering the recursive aspects of this exercise at the moment.) Compellingly, we can place the collection of subjects on a single continuum — we call it the Sensemaking Spectrum — that simply and coherently illustrates some of the most important relationships between the different types of Subjects, and also illuminates several of the fundamental dynamics shaping business analytics as a domain.  As a corollary, the Sensemaking Spectrum also suggests innovation opportunities for products and services related to business analytics. The first illustration below shows Subjects arrayed along the Sensemaking Spectrum; the second illustration presents examples of each kind of Subject.  Subjects appear in colors ranging from blue to reddish-orange, reflecting their place along the Spectrum, which indicates whether a Subject addresses more the viewpoint of systems and data (Data centric and blue), or people (User centric and orange).  This axis is shown explicitly above the Spectrum.  Annotations suggest how Subjects align with the three significant perspectives of Data, Analysis, and Business that shape business analytics activity.  This rendering makes explicit the translation and bridging function of Analysts as a role, and analysis as an activity. Subjects are best understood as fuzzy categories [http://georgelakoff.files.wordpress.com/2011/01/hedges-a-study-in-meaning-criteria-and-the-logic-of-fuzzy-concepts-journal-of-philosophical-logic-2-lakoff-19731.pdf], rather than tightly defined buckets.  For each Subject, we suggest some of the most common examples: Entities may be physical things such as named products, or locations (a building, or a city); they could be Concepts, such as satisfaction; or they could be Relationships between entities, such as the variety of possible connections that define linkage in social networks.  Likewise, Events may indicate a time and place in the dictionary sense; or they may be Transactions involving named entities; or take the form of Signals, such as ‘some Measure had some value at some time’ - what many enterprises understand as alerts.   The central story of the Spectrum is that though consumers of analytical insights (represented here by the Business perspective) need to work in terms of Subjects that are directly meaningful to their perspective — such as Themes, Plans, and Goals — the working realities of data (condition, structure, availability, completeness, cost) and the changing nature of most discovery efforts make direct engagement with source data in this fashion impossible.  Accordingly, business analytics as a domain is structured around the fundamental assumption that sense making depends on analytical transformation of data.  Analytical activity incrementally synthesizes more complex and larger scope Subjects from data in its starting condition, accumulating insight (and value) by moving through a progression of stages in which increasingly meaningful Subjects are iteratively synthesized from the data, and recombined with other Subjects.  The end goal of  ‘laddering’ successive transformations is to enable sense making from the business perspective, rather than the analytical perspective.Synthesis through laddering is typically accomplished by specialized Analysts using dedicated tools and methods. Beginning with some motivating question such as seeking opportunities to increase the efficiency (a Theme) of fulfillment processes to reach some level of profitability by the end of the year (Plan), Analysts will iteratively wrangle and transform source data Records, Values and Attributes into recognizable Entities, such as Products, that can be combined with Measures or other data into the Events (shipment of orders) that indicate the workings of the business.  More complex Subjects (to the right of the Spectrum) are composed of or make reference to less complex Subjects: a business Process such as Fulfillment will include Activities such as confirming, packing, and then shipping orders.  These Activities occur within or are conducted by organizational units such as teams of staff or partner firms (Networks), composed of Entities which are structured via Relationships, such as supplier and buyer.  The fulfillment process will involve other types of Entities, such as the products or services the business provides.  The success of the fulfillment process overall may be judged according to a sophisticated operating efficiency Model, which includes tiered Measures of business activity and health for the transactions and activities included.  All of this may be interpreted through an understanding of the operational domain of the businesses supply chain (a Domain).   We'll discuss the Spectrum in more depth in succeeding posts.

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  • MySQL Query That Can Pull the Data I am Seeking?

    - by Amy
    On the project I am working on, I am stuck with the table structure from Hades. Two things to keep in mind: I can't change the table structure right now. I'm stuck with it for the time being. The queries are dynamically generated and not hard coded. So, while I am asking for a query that can pull this data, what I am really working toward is an algorithm that will generate the query I need. Hopefully, I can explain the problem without making your eyes glaze over and your brain implode. We have an instance table that looks (simplified) along these lines: Instances InstanceID active 1 Y 2 Y 3 Y 4 N 5 Y 6 Y Then, there are multiple data tables along these lines: Table1 InstanceID field1 reference_field2 1 John 5 2 Sally NULL 3 Fred 6 4 Joe NULL Table2 InstanceID field3 5 1 6 1 Table3 InstanceID fieldID field4 5 1 Howard 5 2 James 6 2 Betty Please note that reference_field2 in Table1 contains a reference to another instance. Field3 in Table2 is a bit more complicated. It contains a fieldID for Table 3. What I need is a query that will get me a list as follows: InstanceID field1 field4 1 John Howard 2 Sally 3 Fred The problem is, in the query I currently have, I do not get Fred because there is no entry in Table3 for fieldID 1 and InstanceID 6. So, the very best list I have been able to get thus far is InstanceID field1 field4 1 John Howard 2 Sally In essence, if there is an entry in Table1 for Field 2, and there is not an entry in Table 3 that has the instanceID contained in field2 and the field ID contained in field3, I don't get the data from field1. I have looked at joins till I'm blue in the face, and I can't see a way to handle the case when table3 has no entry.

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  • Record Disappeared from Mysql Table, How Can I Find Out What Happened?

    - by Jascha
    I got the fire alarm phone call, AIM messages and email today from a client stating "The site is down!, WTF happened?!" Well, after a little digging, it turns out one of the records in a table had been wiped clean, but without removing the row itself. So, I had the representation of data, but a bunch of empty fields. (needless to day I need to write into my code a catch for this.) What my real question is, where can I figure out what happened? I've got access to phpmyadmin and that's about it. I found some access logs on in the root directory of my server, but that just tells me the client was in the admin area I built editing that record, I'd like to know specifically what they did that made all of the data go away. (what query was run etc...) is it possible without real server admin access? is there a neat little php to mysql class that returns data like this? Thanks in advance. -Jascha

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  • How to store data in mysql, to get the fastest performance?

    - by Oden
    Hey, I'm thinking about it, witch of the following two query types would give me the fastest performance for a user messaging module inside my site: The first one i thought about is a multi table setup, witch has a connection table, and a main table. The connection table holds the connection between accounts, and the messaging table. In this case a query would look like following, to get some data of the author, and the messages he has sent: SELECT m.*, a.username FROM messages AS m LEFT JOIN connection_table ON (message_id = m.id) LEFT JOIN accounts AS a ON (account_id = a.id) WHERE m.id = '32341' Inserting into it is a little bit more "complicated". My other idea, and in my thought the better solution of this problem is that i store the data i would use in a connection table in the same table where is store the data of the mail. Sounds like i would get lots of duplicated entries, but no, because i have a field witch has text type and holds user ids like this: *24*32*249* If I want to query them, i use the mysql LIKE method. Deleting is an other problem, but for this i have one more field where i store who has deleted the post. Sad about that i don't know how to join this. So what would you recommend? Are there other ways?

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  • Why does this sql statement keep saying it is a boolean and not a paramter? (php/Mysql)

    - by ggfan
    In this statement, I am trying to see if there if the latest posting in the database that has the exact same title, price, city, state, detail. If there is, then it would say to the user that the exact post has been already made; if not then insert the posting into the dbc. (This is one type of check so that users can't accidentally post twice. This may not be the best check, but this statement error is annoying me, so I want it to work :)) Why won't this sql work? I think it's not letting the title=$title and not getting the value in the $title... ERROR: mysqli_num_rows() expects parameter 1 to be mysqli_result, boolean given in postad.php on line 365 //there is a form that users fill out that has title, price, city, etc <form> blah blah </form> //if users click submit, then does all the checks and if all okay, insert to dbc if (isset($_POST['submit'])) { // Grab the pposting data from the POST and gets rid of any funny stuff $title = mysqli_real_escape_string($dbc, trim($_POST['title'])); $price = mysqli_real_escape_string($dbc, trim($_POST['price'])); $city = mysqli_real_escape_string($dbc, trim($_POST['city'])); $state = mysqli_real_escape_string($dbc, trim($_POST['state'])); $detail = mysqli_real_escape_string($dbc, trim($_POST['detail'])); if (!is_numeric($price) && !empty($price)) { echo "<p class='error'>The price can only be numbers. No special characters, etc</p>"; } //Error problem...won't let me set title=$title, detail=$detail, etc. //this statement after all the checks so that none of the variables are empty $query="Select * FROM posting WHERE user_id={$_SESSION['user_id']} AND title=$title AND price=$price AND city=$city AND state=$state AND detail=$detail"; $data = mysqli_query($dbc, $query); if(mysqli_num_rows($data)==1) { echo "You already posted this ad. Most likely caused by refreshing too many times."; } }

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  • Why does this sql statement keep saying it is a boolean and not a parameter? (php/Mysql)

    - by ggfan
    In this statement, I am trying to see if there if the latest posting in the database that has the exact same title, price, city, state, detail. If there is, then it would say to the user that the exact post has been already made; if not then insert the posting into the dbc. (This is one type of check so that users can't accidentally post twice. This may not be the best check, but this statement error is annoying me, so I want it to work :)) Why won't this sql work? I think it's not letting the title=$title and not getting the value in the $title... ERROR: mysqli_num_rows() expects parameter 1 to be mysqli_result, boolean given in postad.php on line 365 //there is a form that users fill out that has title, price, city, etc <form> blah blah </form> //if users click submit, then does all the checks and if all okay, insert to dbc if (isset($_POST['submit'])) { // Grab the pposting data from the POST and gets rid of any funny stuff $title = mysqli_real_escape_string($dbc, trim($_POST['title'])); $price = mysqli_real_escape_string($dbc, trim($_POST['price'])); $city = mysqli_real_escape_string($dbc, trim($_POST['city'])); $state = mysqli_real_escape_string($dbc, trim($_POST['state'])); $detail = mysqli_real_escape_string($dbc, trim($_POST['detail'])); if (!is_numeric($price) && !empty($price)) { echo "<p class='error'>The price can only be numbers. No special characters, etc</p>"; } //Error problem...won't let me set title=$title, detail=$detail, etc. //this statement after all the checks so that none of the variables are empty $query="Select * FROM posting WHERE user_id={$_SESSION['user_id']} AND title=$title AND price=$price AND city=$city AND state=$state AND detail=$detail"; $data = mysqli_query($dbc, $query); if(mysqli_num_rows($data)==1) { echo "You already posted this ad. Most likely caused by refreshing too many times."; } }

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  • Special characters from MySQL database (e.g. curly apostrophes) are mangling my XML

    - by Toph
    I have a MySQL database of newspaper articles. There's a volume table, an issue table, and an article table. I have a PHP file that generates a property list that is then pulled in and read by an iPhone app. The plist holds each article as a dictionary inside each issue, and each issue as a dictionary inside each volume. The plist doesn't actually hold the whole article -- just a title and URL. Some article titles contain special characters, like curly apostrophes. Looking at the generated XML plist, whenever it hits a special character, it unpredictably gobbles up a whole bunch of text, leaving the XML mangled and unreadable. (...in Chrome, anyway, and I'm guessing on the iPhone. Firefox actually handles it pretty well, showing a white ? in a black diamond in place of any special characters and not gobbling anything.) Example well-formed plist snippet: <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>Rows</key> <array> <dict> <key>Title</key> <string>Vol. 133 (2003-2004)</string> <key>Children</key> <array> <dict> <key>Title</key> <string>No. 18 (Apr 2, 2004)</string> <key>Children</key> <array> <dict> <key>Title</key> <string>Basketball concludes historic season</string> <key>URL</key> <string>http://orient.bowdoin.edu/orient/article_iphone.php?date=2004-04-02&amp;section=1&amp;id=1</string> </dict> <!-- ... --> </array> </dict> </array> </dict> </array> </dict> </plist> Example of what happens when it hits a curly apostrophe: This is from Chrome. This time it ate 5,998 characters, by MS Word's count, skipping down to midway through the opening the title of a pizza story; if I reload it'll behave differently, eating some other amount. The proper title is: Singer-songwriter Farrell ’05 finds success beyond the bubble <dict> <key>Title</key> <string>Singer-songwriter Farrell ing>Students embrace free pizza, College objects to solicitation</string> <key>URL</key> <string>http://orient.bowdoin.edu/orient/article_iphone.php?date=2009-09-18&amp;section=1&amp;id=9</string> </dict> In MySQL that title is stored as (in binary): 53 69 6E 67 |65 72 2D 73 |6F 6E 67 77 |72 69 74 65 72 20 46 61 |72 72 65 6C |6C 20 C2 92 |30 35 20 66 69 6E 64 73 |20 73 75 63 |63 65 73 73 |20 62 65 79 6F 6E 64 20 |74 68 65 20 |62 75 62 62 |6C Any ideas how I can encode/decode things properly? If not, any idea how I can get around the problem some other way? I don't have a clue what I'm talking about, haha; let me know if there's any way I can help you help me. :) And many thanks!

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