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  • Linqpad and StreamInsight

    Slightly before the announcement of StreamInsight being available for Linqpad I downloaded it from here.  I had seen Roman Schindlauer demonstrate it at Teched and it looked a really good tool to do some StreamInsight dev.   You will need .Net 4.0 and StreamInsight installed. Here’s what you need to do after downloading and installing Linqpad. Add a new connection   The next thing we need to do is install and enable the StreamInsight driver.  Choose to view more drivers.   Choose StreamInsight     Select the driver after install     I have chosen the Default Context.     And after all that I can finally get to writing my query.  This is a very simple query where I turn a collection (IEnumerable) into a PointStream.  After doing that I create 30 minute windows over the stream before outputting the count of events in each of those windows to the result window.     I have played with Linqpad only a little but I think it is going to be a really good tool to get ideas developed and quickly.  I have also enabled Autcompletion (paid £25) and I recommend it.

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  • Strategies for Indexing Custom Fields in RavenDB

    - by Adrian Thompson Phillips
    In the relational database world, if I was developing a CRM system and wanted to have the user add their own custom fields that are searchable, I could have tables that store the name of the new column, the data type and the value, etc. (which would be less inefficient to index) or I could use the less elegant (but more searchable) solution that software like Dynamics and SharePoint use, whereas I create a load of columns on my aggregate root called CustomInt1, CustomInt2, etc. (which looks dirty and has a limit of how many custom fields a user can have, but has indexing advantages). But my questions is this, in NoSQL databases, what would be the best way of achieving the same thing? My priority would be for searchability. So what would be the best way to store this data? If I used a predefined set of properties (i.e. CustomData1, CustomData2, etc.), because these are all stored as JSON (i.e. strings) in the database, does this make it simpler because I don't have to worry about data types?

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  • Refering to another field in a form and return entries based on the filed

    - by Claus Machholdt
    Structure of DB is: Org_Year(Table) ID Org_Name_ID Org_Year Ft(Table) ID Org_Year_ID Count Org_Name(Table) ID Org_Name I've created a form to input data into Ft. Form has reference to Org_name. I should be able to choose between different org first. Afterwards i want to choose which year to enter data into Ft for. I only want to be presented with a list of Years according to the entries in the Org_Year table, where org matches my selection in the dropdown above. The query to populate the select box (Org_year_Box) is: SELECT Org_Year FROM Org_Year WHERE Org_Name_ID=Organisation_Name_ID.value; I't doesn't return the Years for the given Org_id when using the above query. But if i replace "Organisation_Name_ID.value" with the actual value ie. "2" it returns the correct years. How to do?

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  • NetBeans, JSF, and MySQL Primary Keys using AUTO_INCREMENT

    - by MarkH
    I recently had the opportunity to spin up a small web application using JSF and MySQL. Having developed JSF apps with Oracle Database back-ends before and possessing some small familiarity with MySQL (sans JSF), I thought this would be a cakewalk. Things did go pretty smoothly...but there was one little "gotcha" that took more time than the few seconds it really warranted. The Problem Every DBMS has its own way of automatically generating primary keys, and each has its pros and cons. For the Oracle Database, you use a sequence and point your Java classes to it using annotations that look something like this: @GeneratedValue(strategy=GenerationType.SEQUENCE, generator="POC_ID_SEQ") @SequenceGenerator(name="POC_ID_SEQ", sequenceName="POC_ID_SEQ", allocationSize=1) Between creating the actual sequence in the database and making sure you have your annotations right (watch those typos!), it seems a bit cumbersome. But it typically "just works", without fuss. Enter MySQL. Designating an integer-based field as PRIMARY KEY and using the keyword AUTO_INCREMENT makes the same task seem much simpler. And it is, mostly. But while NetBeans cranks out a superb "first cut" for a basic JSF CRUD app, there are a couple of small things you'll need to bring to the mix in order to be able to actually (C)reate records. The (RUD) performs fine out of the gate. The Solution Omitting all design considerations and activity (!), here is the basic sequence of events I followed to create, then resolve, the JSF/MySQL "Primary Key Perfect Storm": Fire up NetBeans. Create JSF project. Create Entity Classes from Database. Create JSF Pages from Entity Classes. Test run. Try to create record and hit error. It's a simple fix, but one that was fun to find in its completeness. :-) Even though you've told it what to do for a primary key, a MySQL table requires a gentle nudge to actually generate that new key value. Two things are needed to make the magic happen. First, you need to ensure the following annotation is in place in your Java entity classes: @GeneratedValue(strategy = GenerationType.IDENTITY) All well and good, but the real key is this: in your controller class(es), you'll have a create() function that looks something like this, minus the comment line and the setId() call in bold red type:     public String create() {         try {             // Assign 0 to ID for MySQL to properly auto_increment the primary key.             current.setId(0);             getFacade().create(current);             JsfUtil.addSuccessMessage(ResourceBundle.getBundle("/Bundle").getString("CategoryCreated"));             return prepareCreate();         } catch (Exception e) {             JsfUtil.addErrorMessage(e, ResourceBundle.getBundle("/Bundle").getString("PersistenceErrorOccured"));             return null;         }     } Setting the current object's primary key attribute to zero (0) prior to saving it tells MySQL to get the next available value and assign it to that record's key field. Short and simple…but not inherently obvious if you've never used that particular combination of NetBeans/JSF/MySQL before. Hope this helps! All the best, Mark

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  • MVC + 3 tier; where ViewModels come into play?

    - by mikhairu
    I'm designing a 3-tiered application using ASP.NET MVC 4. I used the following resources as a reference. CodeProject: MVC + N-tier + Entity Framework Separating data access in ASP.NET MVC I have the following desingn so far. Presentation Layer (PL) (main MVC project, where M of MVC was moved to Data Access Layer): MyProjectName.Main Views/ Controllers/ ... Business Logic Layer (BLL): MyProjectName.BLL ViewModels/ ProjectServices/ ... Data Access Layer (DAL): MyProjectName.DAL Models/ Repositories.EF/ Repositories.Dapper/ ... Now, PL references BLL and BLL references DAL. This way lower layer does not depend on the one above it. In this design PL invokes a service of the BLL. PL can pass a View Model to BLL and BLL can pass a View Model back to PL. Also, BLL invokes DAL layer and DAL layer can return a Model back to BLL. BLL can in turn build a View Model and return it to PL. Up to now this pattern was working for me. However, I've ran into a problem where some of my ViewModels require joins on several entities. In the plain MVC approach, in the controller I used a LINQ query to do joins and then select new MyViewModel(){ ... }. But now, in the DAL I do not have access to where ViewModels are defined (in the BLL). This means I cannot do joins in DAL and return it to BLL. It seems I have to do separate queries in DAL (instead of joins in one query) and BLL would then use the result of these to build a ViewModel. This is very inconvenient, but I don't think I should be exposing DAL to ViewModels. Any ideas how I can solve this dilemma? Thanks.

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  • Unexpected advantage of Engineered Systems

    - by user12244672
    It's not surprising that Engineered Systems accelerate the debugging and resolution of customer issues. But what has surprised me is just how much faster issue resolution is with Engineered Systems such as SPARC SuperCluster. These are powerful, complex, systems used by customers wanting extreme database performance, app performance, and cost saving server consolidation. A SPARC SuperCluster consists or 2 or 4 powerful T4-4 compute nodes, 3 or 6 extreme performance Exadata Storage Cells, a ZFS Storage Appliance 7320 for general purpose storage, and ultra fast Infiniband switches.  Each with its own firmware. It runs Solaris 11, Solaris 10, 11gR2, LDoms virtualization, and Zones virtualization on the T4-4 compute nodes, a modified version of Solaris 11 in the ZFS Storage Appliance, a modified and highly tuned version of Oracle Linux running Exadata software on the Storage Cells, another Linux derivative in the Infiniband switches, etc. It has an Infiniband data network between the components, a 10Gb data network to the outside world, and a 1Gb management network. And customers can run whatever middleware and apps they want on it, clustered in whatever way they want. In one word, powerful.  In another, complex. The system is highly Engineered.  But it's designed to run general purpose applications. That is, the physical components, configuration, cabling, virtualization technologies, switches, firmware, Operating System versions, network protocols, tunables, etc. are all preset for optimum performance and robustness. That improves the customer experience as what the customer runs leverages our technical know-how and best practices and is what we've tested intensely within Oracle. It should also make debugging easier by fixing a large number of variables which would otherwise be in play if a customer or Systems Integrator had assembled such a complex system themselves from the constituent components.  For example, there's myriad network protocols which could be used with Infiniband.  Myriad ways the components could be interconnected, myriad tunable settings, etc. But what has really surprised me - and I've been working in this area for 15 years now - is just how much easier and faster Engineered Systems have made debugging and issue resolution. All those error opportunities for sub-optimal cabling, unusual network protocols, sub-optimal deployment of virtualization technologies, issues with 3rd party storage, issues with 3rd party multi-pathing products, etc., are simply taken out of the equation. All those error opportunities for making an issue unique to a particular set-up, the "why aren't we seeing this on any other system ?" type questions, the doubts, just go away when we or a customer discover an issue on an Engineered System. It enables a really honed response, getting to the root cause much, much faster than would otherwise be the case. Here's a couple of examples from the last month, one found in-house by my team, one found by a customer: Example 1: We found a node eviction issue running 11gR2 with Solaris 11 SRU 12 under extreme load on what we call our ExaLego test system (mimics an Exadata / SuperCluster 11gR2 Exadata Storage Cell set-up).  We quickly established that an enhancement in SRU12 enabled an 11gR2 process to query Infiniband's Subnet Manager, replacing a fallback mechanism it had used previously.  Under abnormally heavy load, the query could return results which were misinterpreted resulting in node eviction.  In several daily joint debugging sessions between the Solaris, Infiniband, and 11gR2 teams, the issue was fully root caused, evaluated, and a fix agreed upon.  That fix went back into all Solaris releases the following Monday.  From initial issue discovery to the fix being put back into all Solaris releases was just 10 days. Example 2: A customer reported sporadic performance degradation.  The reasons were unclear and the information sparse.  The SPARC SuperCluster Engineered Systems support teams which comprises both SPARC/Solaris and Database/Exadata experts worked to root cause the issue.  A number of contributing factors were discovered, including tunable parameters.  An intense collaborative investigation between the engineering teams identified the root cause to a CPU bound networking thread which was being starved of CPU cycles under extreme load.  Workarounds were identified.  Modifications have been put back into 11gR2 to alleviate the issue and a development project already underway within Solaris has been sped up to provide the final resolution on the Solaris side.  The fixed SPARC SuperCluster configuration greatly aided issue reproduction and dramatically sped up root cause analysis, allowing the correct workarounds and fixes to be identified, prioritized, and implemented.  The customer is now extremely happy with performance and robustness.  Since the configuration is common to other customers, the lessons learned are being proactively rolled out to other customers and incorporated into the installation procedures for future customers.  This effectively acts as a turbo-boost to performance and reliability for all SPARC SuperCluster customers.  If this had occurred in a "home grown" system of this complexity, I expect it would have taken at least 6 months to get to the bottom of the issue.  But because it was an Engineered System, known, understood, and qualified by both the Solaris and Database teams, we were able to collaborate closely to identify cause and effect and expedite a solution for the customer.  That is a key advantage of Engineered Systems which should not be underestimated.  Indeed, the initial issue mitigation on the Database side followed by final fix on the Solaris side, highlights the high degree of collaboration and excellent teamwork between the Oracle engineering teams.  It's a compelling advantage of the integrated Oracle Red Stack in general and Engineered Systems in particular.

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  • php+mysql account management software?

    - by kdavis8
    I need an account system added to my website as a plugin to all of my HTML pages. The account system plugin needs to,register new users, log in current users, remove users who want to disconnect service, and manipulate all of these things via database on my web server. However, I do not know how to program in the PHP language or create and manipulate MySQL databases. I want a program that can create and manipulate the MySQL database automatically for my website and handle also PHP calls automatically. Are there any open source freeware programs out there that i can use? If so what are the names of these freeware?

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  • Erratic DNS name resolution

    - by alex
    Hi all, We have a client we host a web for (blog.foobar.es). We do not manage foobar.es's DNS setup, we just told them to point blog.foobar.es to our web server's IP. We have noticed that sometimes we cannot browse to blog.foobar.es, but we can browse to other sites on that server. Troubleshooting a bit using host(1) yields something funny: $ host blog.foobar.es 8.8.8.8 Using domain server: Name: 8.8.8.8 Address: 8.8.8.8#53 Aliases: Host blog.foobar.es not found: 3(NXDOMAIN) , being 8.8.8.8 one of Google's public DNS servers. However, sometimes the same server resolves the name correctly (!). Another funny thing, is that our ISP's DNS servers sometimes say: $ host blog.foobar.es 80.58.61.250 Using domain server: Name: 80.58.61.250 Address: 80.58.61.250#53 Aliases: blog.foobar.es has address x.x.x.x Host blog.foobar.es not found: 3(NXDOMAIN) Which I don't really understand. I've dug around using dig(1), and have noticed they've set up a SOA record for foobar.es: $ dig foobar.es ; <<>> DiG 9.7.0-P1 <<>> foobar.es ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 59824 ;; flags: qr rd ra; QUERY: 1, ANSWER: 0, AUTHORITY: 1, ADDITIONAL: 0 ;; QUESTION SECTION: ;foobar.es. IN A ;; AUTHORITY SECTION: foobar.es. 86400 IN SOA dns1.provider.es. root.dns1.provider.es. 2011030301 86400 7200 2592000 172800 ;; Query time: 78 msec ;; SERVER: 80.58.61.250#53(80.58.61.250) ;; WHEN: Thu Mar 3 16:16:19 2011 ;; MSG SIZE rcvd: 78 ... which I'm completely unfamiliar with. Ideas? We can't really do much as we do not control DNS, but we'd like to point our clients in the right direction...

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  • Of transactions and Mongo

    - by Nuri Halperin
    Originally posted on: http://geekswithblogs.net/nuri/archive/2014/05/20/of-transactions-and-mongo-again.aspxWhat's the first thing you hear about NoSQL databases? That they lose your data? That there's no transactions? No joins? No hope for "real" applications? Well, you *should* be wondering whether a certain of database is the right one for your job. But if you do so, you should be wondering that about "traditional" databases as well! In the spirit of exploration let's take a look at a common challenge: You are a bank. You have customers with accounts. Customer A wants to pay B. You want to allow that only if A can cover the amount being transferred. Let's looks at the problem without any context of any database engine in mind. What would you do? How would you ensure that the amount transfer is done "properly"? Would you prevent a "transaction" from taking place unless A can cover the amount? There are several options: Prevent any change to A's account while the transfer is taking place. That boils down to locking. Apply the change, and allow A's balance to go below zero. Charge person A some interest on the negative balance. Not friendly, but certainly a choice. Don't do either. Options 1 and 2 are difficult to attain in the NoSQL world. Mongo won't save you headaches here either. Option 3 looks a bit harsh. But here's where this can go: ledger. See, and account doesn't need to be represented by a single row in a table of all accounts with only the current balance on it. More often than not, accounting systems use ledgers. And entries in ledgers - as it turns out – don't actually get updated. Once a ledger entry is written, it is not removed or altered. A transaction is represented by an entry in the ledger stating and amount withdrawn from A's account and an entry in the ledger stating an addition of said amount to B's account. For sake of space-saving, that entry in the ledger can happen using one entry. Think {Timestamp, FromAccountId, ToAccountId, Amount}. The implication of the original question – "how do you enforce non-negative balance rule" then boils down to: Insert entry in ledger Run validation of recent entries Insert reverse entry to roll back transaction if validation failed. What is validation? Sum up the transactions that A's account has (all deposits and debits), and ensure the balance is positive. For sake of efficiency, one can roll up transactions and "close the book" on transactions with a pseudo entry stating balance as of midnight or something. This lets you avoid doing math on the fly on too many transactions. You simply run from the latest "approved balance" marker to date. But that's an optimization, and premature optimizations are the root of (some? most?) evil.. Back to some nagging questions though: "But mongo is only eventually consistent!" Well, yes, kind of. It's not actually true that Mongo has not transactions. It would be more descriptive to say that Mongo's transaction scope is a single document in a single collection. A write to a Mongo document happens completely or not at all. So although it is true that you can't update more than one documents "at the same time" under a "transaction" umbrella as an atomic update, it is NOT true that there' is no isolation. So a competition between two concurrent updates is completely coherent and the writes will be serialized. They will not scribble on the same document at the same time. In our case - in choosing a ledger approach - we're not even trying to "update" a document, we're simply adding a document to a collection. So there goes the "no transaction" issue. Now let's turn our attention to consistency. What you should know about mongo is that at any given moment, only on member of a replica set is writable. This means that the writable instance in a set of replicated instances always has "the truth". There could be a replication lag such that a reader going to one of the replicas still sees "old" state of a collection or document. But in our ledger case, things fall nicely into place: Run your validation against the writable instance. It is guaranteed to have a ledger either with (after) or without (before) the ledger entry got written. No funky states. Again, the ledger writing *adds* a document, so there's no inconsistent document state to be had either way. Next, we might worry about data loss. Here, mongo offers several write-concerns. Write-concern in Mongo is a mode that marshals how uptight you want the db engine to be about actually persisting a document write to disk before it reports to the application that it is "done". The most volatile, is to say you don't care. In that case, mongo would just accept your write command and say back "thanks" with no guarantee of persistence. If the server loses power at the wrong moment, it may have said "ok" but actually no written the data to disk. That's kind of bad. Don't do that with data you care about. It may be good for votes on a pole regarding how cute a furry animal is, but not so good for business. There are several other write-concerns varying from flushing the write to the disk of the writable instance, flushing to disk on several members of the replica set, a majority of the replica set or all of the members of a replica set. The former choice is the quickest, as no network coordination is required besides the main writable instance. The others impose extra network and time cost. Depending on your tolerance for latency and read-lag, you will face a choice of what works for you. It's really important to understand that no data loss occurs once a document is flushed to an instance. The record is on disk at that point. From that point on, backup strategies and disaster recovery are your worry, not loss of power to the writable machine. This scenario is not different from a relational database at that point. Where does this leave us? Oh, yes. Eventual consistency. By now, we ensured that the "source of truth" instance has the correct data, persisted and coherent. But because of lag, the app may have gone to the writable instance, performed the update and then gone to a replica and looked at the ledger there before the transaction replicated. Here are 2 options to deal with this. Similar to write concerns, mongo support read preferences. An app may choose to read only from the writable instance. This is not an awesome choice to make for every ready, because it just burdens the one instance, and doesn't make use of the other read-only servers. But this choice can be made on a query by query basis. So for the app that our person A is using, we can have person A issue the transfer command to B, and then if that same app is going to immediately as "are we there yet?" we'll query that same writable instance. But B and anyone else in the world can just chill and read from the read-only instance. They have no basis to expect that the ledger has just been written to. So as far as they know, the transaction hasn't happened until they see it appear later. We can further relax the demand by creating application UI that reacts to a write command with "thank you, we will post it shortly" instead of "thank you, we just did everything and here's the new balance". This is a very powerful thing. UI design for highly scalable systems can't insist that the all databases be locked just to paint an "all done" on screen. People understand. They were trained by many online businesses already that your placing of an order does not mean that your product is already outside your door waiting (yes, I know, large retailers are working on it... but were' not there yet). The second thing we can do, is add some artificial delay to a transaction's visibility on the ledger. The way that works is simply adding some logic such that the query against the ledger never nets a transaction for customers newer than say 15 minutes and who's validation flag is not set. This buys us time 2 ways: Replication can catch up to all instances by then, and validation rules can run and determine if this transaction should be "negated" with a compensating transaction. In case we do need to "roll back" the transaction, the backend system can place the timestamp of the compensating transaction at the exact same time or 1ms after the original one. Effectively, once A or B visits their ledger, both transactions would be visible and the overall balance "as of now" would reflect no change.  The 2 transactions (attempted/ reverted) would be visible , since we do actually account for the attempt. Hold on a second. There's a hole in the story: what if several transfers from A to some accounts are registered, and 2 independent validators attempt to compute the balance concurrently? Is there a chance that both would conclude non-sufficient-funds even though rolling back transaction 100 would free up enough for transaction 117 (some random later transaction)? Yes. there is that chance. But the integrity of the business rule is not compromised, since the prime rule is don't dispense money you don't have. To minimize or eliminate this scenario, we can also assign a single validation process per origin account. This may seem non-scalable, but it can easily be done as a "sharded" distribution. Say we have 11 validation threads (or processing nodes etc.). We divide the account number space such that each validator is exclusively responsible for a certain range of account numbers. Sounds cunningly similar to Mongo's sharding strategy, doesn't it? Each validator then works in isolation. More capacity needed? Chop the account space into more chunks. So where  are we now with the nagging questions? "No joins": Huh? What are those for? "No transactions": You mean no cross-collection and no cross-document transactions? Granted - but don't always need them either. "No hope for real applications": well... There are more issues and edge cases to slog through, I'm sure. But hopefully this gives you some ideas of how to solve common problems without distributed locking and relational databases. But then again, you can choose relational databases if they suit your problem.

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  • Configuration Tuning for PostgreSQL 9.1 PostGIS 1.5 Ubuntu 12.04 Server

    - by Martin
    My server performance is poor. At times SSH, top, and other features or commands are very slow to respond, taking several seconds or more. A query that normally takes 5 minutes can sometimes take 30 minutes. The database is mostly being used to do a spatial query (grid and summarize) on approximately 500GB of stored data spread between 4 tables. Restarting the server works as a temporary fix, but cannot be used as a long term solution. Any suggestions for how to diagnose and solve my performance issues? Hardware and Configuration: 3.3 GHz Intel quad core i5 16 GB DDR3 RAM 6 TB software RAID 10 (6 x 2 TB drives) Ubuntu 12.04 64-bit Postgres 9.1 PostGIS 1.5

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  • Insider Insights

    Insider rumours and gossip from the murky world of the Database Industry, and from the colourful characters that inhabit it.

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  • Neue Marketing Kits für Hardware

    - by A&C Redaktion
    Zur Vertriebsunterstützung gibt es jetzt auch Oracle Marketing Kits in Deutsch für folgende Hardware-Lösungen: Server & Storage: Improve Database Capacity Management with Oracle Storage and Hybrid Columnar Compression Server & Storage: Accelerating Database Test & Development with Sun ZFS Storage Appliance Server & Storage: Upgrade SAN Storage to Oracle Pillar Axiom Server & Storage: SPARC Refresh with Oracle Solaris Operating System Server & Storage: SPARC Server Refresh: The Next Level of Datacenter Performance with Oracle’s New SPARC Servers Server & Storage: Oracle Server Virtualization Server & Storage: Oracle Desktop Virtualization

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  • Triggering an action when a specific volume is connected

    - by ereOn
    I have a USB key that contains my keepass2 password database and I'd like to perform some actions when it is plugged into my computer, namely: Auto-mount it to some specific location When the mounting is done properly, launching keepass2 on the password database file Simple tasks I guess, but I can't find how to do that. I'm using Ubuntu 12.10, and it auto-mounts the device as a "media usb-key" and tries to open the images on it (even though there are none). What is the best way to do that and to disable the ubuntu auto-mounting (so it doesn't conflict) ?

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  • #OOW 2012 @PARIS...talking Oracle and Clouds, and Optimized Datacenter

    - by Eric Bezille
    For those of you who want to get most out of Oracle technologies to evolve your IT to the Next Wave, I encourage you to register to the up coming Oracle Optimized Datacenter event that will take place in Paris on November 28th. You will get the opportunity to exchange with Oracle experts and customers having successfully evolve their IT by leveraging Oracle technologies. You will also get the latest news on some of the Oracle systems announcements made during OOW 2012. During this event we will make an update about Oracle and Clouds, from private to public and hybrid models. So in preparing this session, I thought it was a good start to make a status of Cloud Computing in France, and CIO requirements in particular. Starting in 2009 with the first Cloud Camp in Paris, the market has evolved, but the basics are still the same : think hybrid. From Traditional IT to Clouds One size doesn't fit all, and for big companies having already an IT in place, there will be parts eligible to external (public) cloud, and parts that would be required to stay inside the firewalls, so ability to integrate both side is key.  None the less, one of the major impact of Cloud Computing trend on IT, reported by Forrester, is the pressure it makes on CIO to evolve towards the same model that end-users are now used to in their day to day life, where self-service and flexibility are paramount. This is what is driving IT to transform itself toward "a Global Service Provider", or for some as "IT "is" the Business" (see : Gartner Identifies Four Futures for IT and CIO), and for both models toward a Private Cloud Service Provider. In this journey, there is still a big difference between most of existing external Cloud and a firm IT : the number of applications that a CIO has to manage. Most cloud providers today are overly specialized, but at the end of the day, there are really few business processes that rely on only one application. So CIOs has to combine everything together external and internal. And for the internal parts that they will have to make them evolve to a Private Cloud, the scope can be very large. This will often require CIOs to evolve from their traditional approach to more disruptive ones, the time has come to introduce new standards and processes, if they want to succeed. So let's have a look at the different Cloud models, what type of users they are addressing, what value they bring and most importantly what needs to be done by the  Cloud Provider, and what is left over to the user. IaaS, PaaS, SaaS : what's provided and what needs to be done First of all the Cloud Provider will have to provide all the infrastructure needed to deliver the service. And the more value IT will want to provide, the more IT will have to deliver and integrate : from disks to applications. As we can see in the above picture, providing pure IaaS, left a lot to cover for the end-user, that’s why the end-user targeted by this Cloud Service is IT people. If you want to bring more value to developers, you need to provide to them a development platform ready to use, which is what PaaS is standing for, by providing not only the processors power, storage and OS, but also the Database and Middleware platform. SaaS being the last mile of the Cloud, providing an application ready to use by business users, the remaining part for the end-users being configuring and specifying the application for their specific usage. In addition to that, there are common challenges encompassing all type of Cloud Services : Security : covering all aspect, not only of users management but also data flows and data privacy Charge back : measuring what is used and by whom Application management : providing capabilities not only to deploy, but also to upgrade, from OS for IaaS, Database, and Middleware for PaaS, to a full Business Application for SaaS. Scalability : ability to evolve ALL the components of the Cloud Provider stack as needed Availability : ability to cover “always on” requirements Efficiency : providing a infrastructure that leverage shared resources in an efficient way and still comply to SLA (performances, availability, scalability, and ability to evolve) Automation : providing the orchestration of ALL the components in all service life-cycle (deployment, growth & shrink (elasticity), upgrades,...) Management : providing monitoring, configuring and self-service up to the end-users Oracle Strategy and Clouds For CIOs to succeed in their Private Cloud implementation, means that they encompass all those aspects for each component life-cycle that they selected to build their Cloud. That’s where a multi-vendors layered approach comes short in terms of efficiency. That’s the reason why Oracle focus on taking care of all those aspects directly at Engineering level, to truly provide efficient Cloud Services solutions for IaaS, PaaS and SaaS. We are going as far as embedding software functions in hardware (storage, processor level,...) to ensure the best SLA with the highest efficiency. The beauty of it, as we rely on standards, is that the Oracle components that you are running today in-house, are exactly the same that we are using to build Clouds, bringing you flexibility, reversibility and fast path to adoption. With Oracle Engineered Systems (Exadata, Exalogic & SPARC SuperCluster, more specifically, when talking about Cloud), we are delivering all those components hardware and software already engineered together at Oracle factory, with a single pane of glace for the management of ALL the components through Oracle Enterprise Manager, and with high-availability, scalability and ability to evolve by design. To give you a feeling of what does that bring in terms just of implementation project timeline, for example with Oracle SPARC SuperCluster, we have a consistent track of record to have the system plug into existing Datacenter and ready in a week. This includes Oracle Database, OS, virtualization, Database Storage (Exadata Storage Cells in this case), Application Storage, and all network configuration. This strategy enable CIOs to very quickly build Cloud Services, taking out not only the complexity of integrating everything together but also taking out the automation and evolution complexity and cost. I invite you to discuss all those aspect in regards of your particular context face2face on November 28th.

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  • Fastest way to run a JSON server on my local machine

    - by Mohsen
    I am a front-end developer. For many experiemnets I do I need to have a server that talks JSON with my client side app. Normally that server is a simple server that response to my POSTs and GETs. For example I need to setup a server that saves, modifies and read data from a "library" database like this: POST /books create a book GET /book/:id gets a book and so on... What is the fastest and easiest technology stack for database and server in this case? I am open to use Ruby, Nodejs and anything that do the job fast and easy. Is there any framework (on any language) that do stuff like this for me?

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  • CodePlex Daily Summary for Tuesday, May 20, 2014

    CodePlex Daily Summary for Tuesday, May 20, 2014Popular ReleasesEdiFabric: Release 3.1: Fixed parse tree generation for the latest validation schemasCompare .NET Objects: Version 2.03.0.0: Support for System.Drawing.Font type New Option to Ignore Unknown Object TypesQuickMon: Version 3.11: This release adds some major changes to the core monitoring engine. 1. Polling overrides: Each collector entry can specify a minimum time updating is allowed for it and dependent collector entries. 2. Polling frequency sliding: Additional to polling overrides a collector entry can specify 'sliding' polling frequency if the state remains the same. This means the frequency slows down reducing overhead of polling on a stagnant resource. 3. The monitor pack has an overriding frequency. If used...Family Tree Analyzer: Version 3.7.2.3-beta2: Small beta test to determine issue with Lost Cousins facts with census with no country.AST - a tool for exploring windows kernel: Ast-0.2.20140519-win8.1x86: symbol form, supports any symbol query like dt/x command in windbg symbol form, supports loading pdb file pe form, visualizer of pe info (dos/optional header, sections, directories, import/export table)Mini SQL Query: Mini SQL Query (1.0.72.457): Apologies for the previous update! FK issue fixed and also a template data cache issue.Endomondo Export: First Release: This is the first release, it might be buggy, so I'll eventually try to improve it over time. I did it quick and dirty as I didn't have much spare time to develop it, but again it works for me. ;-) If I see people use it and there are reasonable requests I might add more stuff to it. Hope you guys like it!FileTable Services for Lightswitch: FileTable Services for Lightswitch 1.0.0: 19 MAY 2014 v.1.0.0 Initial releaseWordMat: WordMat v. 1.06: Check WordMat.blogspot.com for a complete description of new features.Visual F# Tools: Daily Builds Preview 05-16-2014: This preview is released for use under a proprietary license.Wsus Package Publisher: Release v1.3.1405.17: Add Russian translation (thanks to VSharmanov) Fix a bug that make WPP to crash if the user click on "Connect/Reload" while the Report Tab is loading. Enhance the way WPP store the password for remote computers command.MoreTerra (Terraria World Viewer): More Terra 1.12.9: =========== = Compatibility = =========== Updated to account for new format 1.2.4.1 =========== = Issues = =========== all items have not been added. Some colors for new tiles may be off. I wanted to get this out so people have a usable program.LINQ to Twitter: LINQ to Twitter v3.0.3: Supports .NET 4.5x, Windows Phone 8.x, Windows 8.x, Windows Azure, Xamarin.Android, and Xamarin.iOS. New features include Status/Lookup, Mute APIs, and bug fixes. 100% Twitter API v1.1 coverage, Async, Portable Class Library (PCL).ConEmu - Windows console with tabs: ConEmu 140519 [Alpha]: ConEmu - developer build x86 and x64 versions. Written in C++, no additional packages required. Run "ConEmu.exe" or "ConEmu64.exe". Some useful information you may found: http://superuser.com/questions/tagged/conemu http://code.google.com/p/conemu-maximus5/wiki/ConEmuFAQ http://code.google.com/p/conemu-maximus5/wiki/TableOfContents If you want to use ConEmu in portable mode, just create empty "ConEmu.xml" file near to "ConEmu.exe" CS-Script for Notepad++ (C# intellisense and code execution): Release v1.0.26.0: Added access to the Release Notes during 'Check for Updates...'' Debug panels Added support for generic types members Members are grouped into 'Raw View' and 'Non-Public members' categories Implemented dedicated (array-like) view for Lists and Dictionaries http://download-codeplex.sec.s-msft.com/Download?ProjectName=csscriptnpp&DownloadId=846498ClosedXML - The easy way to OpenXML: ClosedXML 0.70.0: A lot of fixes. See history.SFDL.NET: SFDL.NET (2.2.9.2): Changelog: Neues Icon Xup.in CnL Plugin BugfixSEToolbox: SEToolbox 01.030.008 Release 1: Fixed cube editor failing to apply color to cubes. Added to cube editor, replace cube dialog, and Build Percent dialog. Corrected for hidden asteroid ore, allowing rare ore to show when importing an asteroid, or converting a 3d model to an asteroid (still appears to be limitations on rare ore in small asteroids). Allowed ore selection to Asteroid file import. (Can copy/import and convert existing asteroid to another ore). Added progress bars to common long running operations. Fixed ...Better Robocopy GUI: Command Line GUI for Robocopy: Better Robocopy GUI had become the primary plugin in Command Line GUI built on .NET 4TFS Planning and Disaster Recovery Avoidance Guide: v1.4.BETA - TFS, DR and Azure IaaS Planning Guides: Welcome to the TFS Planning and DR Avoidance Guidance What is new? A new crisper, more compact style, which is easier to consume on multiple devices without sacrificing any content. Also included are the new TFS on Azure IaaS guide and supplementary guides. Note Capacity planning workbook and posters are included in the Everything Zip package. Quality-Bar Detail Documentation has been reviewed by Visual Studio ALM Rangers Documentation has been through an independent technical review ...New ProjectsBizTalk Port Info Query Tool: This tool is capable of retrieving BizTalk send and receive port information, through which can be searched.C5_StyleCopped: The C5 project while an excellent set of collections suffers from being very non StyleCop compliant.Channel 9 RSS Reader (Universal / WinPhone 8): Channel 9 RSS Reader Code Share Sample- A simple RSS reader app for the Channel 9 RSS feed sharing code across 3 apps.CRM Web API Yelp Example: Sample Visual Studio 2013 project that provides an example of how you could use Web API and Microsoft Azure to integrate with Yelp.ERP Accounting System: ERP Accounting SystemEssIL: Essential classes written in CIL.FileTable Services for Lightswitch: Integrates SQL Server 2012 and later FileTable functionality with Lightswitch rapid application development tools. Works with ALL types of Lightswitch clients.freeasyDMS: A free and easy to use DMS for everyone. Without any cloud restrictions. All information about added Documents are stored lokaly at XML files.FreelancerCreateReport: Freelancer_CreateReportInstituto Superior de Ciencias Comerciales: esta es una pruebaMVC Blogger: Under TestingMVC Bootstrap Timepicker: ASP.NET MVC html helper for Bootstrap 3 time picker. This helper makes it easy to use a time picker with the bootstrap look 'n feel in your web site.NextGen: NextGen FrameworkPlato 2D Framework: Plato Windows Runtime App canvas oriented MVVM framework.Promotion Planner Pro: Trade Promotion Management and Analytic suitSharePoint Managed Metadata List Filter: This managed metadata list filter webpart provides the ability to filter multiple list view webparts that contain the same Managed metadata site column on the sSurfwave: A Windows Store (Windows Runtime) library that provides multi-touch tracking and normalized interpretation capabilities.Torrent Description Generator: A simple WPF application to generate a robust torrent description for movies in text or bbcode. Includes file info, thumbs, imdb/RT links and poster.Trang's Project: Qu?n lý thông tin khách hàng trong ho?t d?ng vay v?nWebSniffer: A bot written in C# to play a hangman game and intelligently make decisions about what to pick next.WorldBankBBS: BBS Package designed for use with ASCII, ANSI and PETSCII (Commodore) users. All resources are shared between differing clients. WPF Password Generator with Prism 5 and Moq (2014): This is a WPF reference implementation for developing an MVVM application that uses Prism (5) and Moq.????-????【??】????????: ??????????????,??????????????????,?????????????。?????????,????????????。 ?????-?????【??】?????????: ?????????????????,????,????,?????????.?????,?????!?????,?????????、??、??! ??????-??????【??】??????????: ????????????,???????,??????。??????????,????,????,?????,????????????。 ??????-??????【??】??????????: ???????????????、???????,?????????,???????????????。?????????????,???????。 ??????-??????【??】??????????: ?????????????????,???????????????????????????,????:????,????,????,?????。 ??????-??????【??】??????????: ????????????????,?????????????? ??。??????????、????、????、?????????? ???????。 ??????-??????【??】??????????: ??????????????????,???、???!???????,????????????????,????????????,???! ??????-??????【??】??????????: ???????????????,????,???????、???????????,???????????,????,?????,???????。 ??????-??????【??】??????????: ????????????????????????,?????????,??????????,????????,?????! ??????-??????【??】??????????: ?????????????,????????,??????????????,?????????,????,????,??????。 ??????-??????【??】??????????: ??????????????、?????????,?????????,????,????????,????????????????! ??????-??????【??】??????????: ?????????????:??????、????、????、????、????、??????、??????,???????! ??????-??????【??】??????????: ????????????????、?????,????????????????????,????,????,??????。 ??????-??????【??】??????????: ????????????????,???????、???????????,????????、????、????、??????、????????。 ??????-??????【??】??????????: ???????????????????????????,???????????????????????,???????。 ??????-??????【??】??????????: ???????????????、????、????、??????、????、???????,?????,?????????! ??????-??????【??】??????????: ??????????????????、????、??????、????????,????????????,???????????! ??????-??????【??】??????????: ????????????????????,?????????????????????,?????,????,???????. ??????-??????【??】??????????: ???????????????、???????,?????????,???????????????,?????????????。 ??????-??????【??】??????????: ????????????、??、???????????,??????,????????,??????????????????...????。 ??????-??????【??】??????????: ????????????????,?????????/?,,???????????,??????????????! ??????-??????【??】??????????: ??????????,????????????????????????,???????????????,?????????????! ??????-??????【??】??????????: ??????????,????????,?????,???,???????????,???????????,?????,??????! ??????-??????【??】??????????: ???????????????????????????、??????????????,??????????????。 ??????-??????【??】??????????: ?????????????????"????,????"???,????????????????????????,??????????????。 ??????-??????【??】??????????: ?????????????????,????:????,????,????,??????,?????,???????????????! ??????-??????【??】??????????: ??????????????????????????,???????????,????????,?????????????????????。 ??????-??????【??】??????????: ???????????、????、????、??????、????、????????,????????、?????????,?????。 ??????-??????【??】??????????: ?????????????????,?????????????。????????????,???????,???????,?????,?????。 ??????-??????【??】??????????: ????????????????,?????????、??、??、????,??????????,?????????????! ??????-??????【??】??????????: ???????????、????、????、??????????,???,?????,???????????????. ??????-??????【??】??????????: ??????????????????????,?????, ... ????????????,????,????,?????,???????。 ??????-??????【??】??????????: ????????????????????????、??????,????、?????、????, ?????????,?????????????! ??????-??????【??】??????????: ????????,??????,?????????????????????,???????????????????????。 ??????-??????【??】??????????: ?????????????????????、????、????、??????、???????,??????、??????。 ??????-??????【??】??????????: ???????【.????.????.????.????.】??【??】:、??、??、??、??、??、??、??、??、??、??、?????。 ??????-??????【??】??????????: ??????????????????,????,??.??.??.??.??.??.??.???,????,???????! ??????-??????【??】??????????: ????????????????????、????????、????????、????????、???????,????????????。 ??????-??????【??】??????????: ????????????????????,?????,???????,???????????,??????! ??????-??????【??】??????????: ???????????、??????、????、?????、?????!????,????????????????!????。 ??????-??????【??】??????????: ??????,??,????????。 ... ??????????????????、??????????????????... ???????-???????【??】???????????: ???????????????????????????,???????????????,????????????????! ???????-???????【??】???????????: ???????????????:????,????,????,???????,????????,??????:????????,?????! ???????-???????【??】???????????: ???????,?????????,?????????????。?????????????,?????????,???????。 ??????-??????【??】??????????: ????????????????,???????、???????????,????????,????,?????????,??????,??????! ??????-??????【??】??????????: ?????????????????,????????????,?????????????????,??????,????????! ??????-??????【??】??????????: ??????????????????,???????、????、????、??????、???????,??????,???????????。 ??????-??????【??】??????????: ?????????????,??,??,??,??? ?,??,,??,??,??,??,??,??,????????,??????! ??????-??????【??】??????????: ????????????????????????????:???????,??????,????,????,????,?????! ??????-??????【??】??????????: ???????????????????,????,????,????,???????,?????,?????.??????。 ??????-??????【??】??????????: ????????????????????,?????????????,???????????.????????????,????????????! ??????-??????【??】??????????: ??????????????????,??:??????,????,????,????,?????,??????????????. ??????-??????【??】??????????: ?????????????????,???????????????。?????????????,???????,?????????。 ??????-??????【??】??????????: ?????????????,????(??)????????,??????,????,???,????,???????! ??????-??????【??】??????????: ??????????????,?????????????,?????????????,??????,????,????,??????????! ??????-??????【??】??????????: ????????????????,????????,????:???????,??????,????,????,?????,?????,??????! ??????-??????【??】??????????: ?????????????????????,????,????,??????????。???????????????,??,??,??????????,??????... ??????-??????【??】??????????: ?????????????????,??????????????、???????、???????、???????、?????! ??????-??????【??】??????????: ???????????,?????????????? ??。????????、????、????、?????????? ???????。 ??????-??????【??】??????????: ????????????、?????、?????、?????、?????、????,???????????,?????,??????! ??????-??????【??】??????????: ?????????????、?????、?????、????、?????,??????????。????????????????! ??????-??????【??】??????????: ??????????????????,????????????,?????、??、????,?????,??????! ??????-??????【??】??????????: ?????????????????,???????????????。???????????,??????:????、????、???????! ??????-??????【??】??????????: ??????????????,?????????????,????,?????????,?????????????,?????,?????! ??????-??????【??】??????????: ??????????????????,???????????,??????????????,??????????,??????????????!

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  • First Experience with Web Services

    When I first started programming with Microsoft .Net (1.0 Framework) I had a strong desire to learn how search engines indexed web sites. At that time I was a working as a search engine spammer creating web pages to generate traffic for specific themes for various clients. One way I attempted to better understand .Net was to build a web spider that analyzed web pages on demand. An example of the spider is hosted at AddLinkz.com. After my spider was built I had no real idea what I could/should do with it until I found the MSN Search API. I used this web service to compare its results with my spider. Additionally, I used the API to feed my .Net web spider new URLs from the API based on specific search terms. MSN’s search API was very easy to use, I just had to request information by calling a web URL with parameters via a Get request and the results were returned in XML. At that time all requests were limited to XML responses and a maximum of 1,000 results per query.   Since then the entire API has gone through several reconstructions, rebranding and new search services.  Microsoft’s new Bing API replaced the older MSN search API and added several new search capabilities. These new features allow search data to be returned for web searches, image searches, new searches, and related search terms to name a few. Bing API Version 2.0 SourceTypes Web Searches for web content Sushi Image Searches for images on the web Sushi News Searches news stories Sushi InstantAnswer Searches Encarta online what is sushi, convert 5 feet to meters, x*5=7, and 2 plus 2 Spell Searches Encarta dictionary for spelling suggestions Phonebook Searches phonebook entries sushi in Los Angeles RelatedSearch Returns the query strings most similar to yours Ad Returns advertisements to incorporate with results I currently plan to start using the web search feature from the new Bing 2.0 API in an open source project related to exception management. Currently, it is still in the conception phase.

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  • Problem installing Oracle 10g Express edition

    - by abhi
    I have installed Oracle 10g Express edition in Ubuntu 10.10 and it doesn't show or ask to give my password during installation. When I click on "start database" it gave the warning "Operation failed, abhi is not a member of 'dba' group." and when clink on "Run SQL command line" it shows /usr/lib/oracle/xe/app/oracle/product/10.2.0/server/bin/nls_lang.sh: 114: [[: not found When I click on "GOTO Database home page", it opens Mozilla's "Ubuntu Google search page". Can anyone help me get my Oracle to work or tell me how to remove that because it is also not getting removed. I tried all the commands that are given as suggestions by Ubuntu. Please help me because I don't want to format my Ubuntu.

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  • How to write functionally in a web framework

    - by Kevin Burke
    I love Rich Hickey, Clojure and Haskell and I get it when he talks about functions and the unreliability of side-effecting code. However I work in an environment where nearly all the functions I write have to read from the database, write to the database, make HTTP requests, decrement a user's balance, modify a frontend HTML component based on a click action, return different results based on the URI or the POST body. We also use PHP for the frontend, which is littered with functions like parse_str(), which modifies an object in place. All of these are side-effecting to one degree or another. Given these constraints and the side-effecting nature of the logic I'm coding, what can I do to make my code more reliable and function-able?

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  • Oracle GoldenGate: Knowledge Document Series Post #1

    - by Doug Reid
    0 false 18 pt 18 pt 0 0 false false false /* 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-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:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Over the course of the next several weeks, the Oracle GoldenGate team will be posting highlights from the knowledge base on My Oracle Support. The intent is to bring greater awareness to our user community of some fantastic best practices documents that are available to anyone with a valid CSI.   These documents were originally created for our internal teams, but the content was so good and useful that we have made them available externally for our user community.  The first in our series is the Oracle GoldenGate database Schema Profile check script (Doc ID 1296168.1). “This script is intended to query the database by schema to identify current configuration and identify any unsupported data types or types that may need special considerations for Oracle GoldenGate in an Oracle environment. This is the Oracle database profile script.  Added check for deferred constraints. Deferred constraints may cause ADD TRANDATA to select the wrong column for logging. Use KEYCOLS for tables with deferred constraints.” Click here to view the document  Check back weekly for additional new postings.

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  • Where can I find accessible bug/issue databases with complete revision history

    - by namenlos
    I'm performing some research and analysis on bug/issue tracking databases and more specifically on how programmers and teams of programmers actually interact with them. What I'm looking for involves understanding how those databases change over time. So what I don't need for example: is a database of all the bugs of some open source project as the bugs exist today. What I do need is a complete set of revision history for every issue/bug in the database. This would enable me to pick a specific datetime and say here were the list of all the issues/bugs that existed at that moment in time. Anyway know of some publicly accessible issue/bug databases that expose this revision data? Ideally, the revision would look something like this (shown for a single bug, with two revisions) ISSUEID PRI SEV ASSIGNEDTO MODIFIEDON VALIDUNTIL 1 2 2 mel apr-1-2010:5pm apr-1-2010:6pm 1 2 3 steve apr-1-2010:6pm NULL

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  • No more: "What was my password again? Was it 12345 or 123456?"

    - by hinkmond
    Keep track of all your passwords with this Java ME password tracker on your Java feature phone. See: Java ME KeePassMobile Here's a quote: You can put all your passwords in one database, which is locked with one master key and/or a key file. ... KeePassMobile is a password manager software for mobile phones (J2ME platform) that is compatible to KeePass. With KeePassMobile you are able to store all your passwords in a highly-encrypted KeePass (1.x*) database on your mobile phone and view them on the go! Don't leave home without it! And, don't forget your master password either, because if you do... you're pretty much fried with Y-rays. Hinkmond

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  • Today in the OTN Lounge (Monday October 1, 2012)

    - by Bob Rhubart
    Here's a quick rundown of today's activities in the OTN Lounge: (OTN Lounge hours today: 8:00 am - 7:00 pm)  9:00 am - 1:00 pm RAC Attack Learn about Oracle Real Application Clustering (RAC) in this collaborative event. You'll work with experts from the IOUG RAC SIG to get an Oracle Database 11gR2 RAC cluster running inside a virtual machine. For more information: RAC attack at Oracle Open World (Pythian Blog) RAC Attack - Oracle Cluster Database at Home/Events (WikiBooks) 4:00 pm - 8:00 pm Oracle Social Network Developer Challenge Office Hours Find information, expertise, and a collaborative work environment for those participating in the OSN Developer Challenge. Click here for more information. The OTN Lounge is located in the Howard St. Tent, between 3rd and 4th, directly between Moscone North and Moscone South. Access to the OTN Lounge requires an Oracle OpenWorld or JavaOne conference badge.

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