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  • TransactionScope question - how can I keep the DTC from getting involved in this?

    - by larryq
    (I know the circumstances surrounding the DTC and promoting a transaction can be a bit mysterious to those of us not in the know, but let me show you how my company is doing things, and if you can tell me why the DTC is getting involved, and if possible, what I can do to avoid it, I'd be grateful.) I have code running on an ASP.Net webserver. We have one database, SQL 2008. Our data access code looks something like this-- We have a data access layer that uses a wrapper object for SQLConnections and SQLCommands. Typical use looks like this: void method1() { objDataObject = new DataAccessLayer(); objDataObject.Connection = SomeConnectionMethod(); SqlCommand objCommand = DataAccessUtils.CreateCommand(SomeStoredProc); //create some SqlParameters, add them to the objCommand, etc.... objDataObject.BeginTransaction(IsolationLevel.ReadCommitted); objDataObject.ExecuteNonQuery(objCommand); objDataObject.CommitTransaction(); objDataObject.CloseConnection(); } So indeed, a very thin wrapper around SqlClient, SqlConnection etc. I want to run several stored procs in a transaction, and the wrapper class doesn't allow me access to the SqlTransaction so I can't pass it from one component to the next. This led me to use a TransactionScope: using (TransactionScope tx1 = new TransactionScope(TransactionScope.RequiresNew)) { method1(); method2(); method3(); tx1.Complete(); } When I do this, the DTC gets involved, and unfortunately our webservers don't have "allow remote clients" enabled in the MSDTC settings-- getting IT to allow that will be a fight. I'd love to avoid DTC becoming involved but can I do it? Can I leave out the transactional calls in methods1-3() and just let the TransactionScope figure it all out?

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  • Trying to use a grails domain class from the shell

    - by ?????
    I'm new to Grails. I'm trying to experiement with my grails domains from the shell, and I can't get it to work. These domains work fine from the scaffold code when I run the app. Given this domain class class IncomingCall { String caller_id Date call_time int call_length static constraints = { } } I try to create an "IncomingCall" and save it from the shell. No matter what I do, I always get "Null"; the object isn't created. And if I try to create the object and then do a save, I get the "No hibernate session bound to thread" error (see below). groovy:000> new IncomingCall(caller_id:'555-1212', call_time: new Date(), call_length:10).save() ERROR org.hibernate.HibernateException: No Hibernate Session bound to thread, and configuration does not allow creation of non-transactional one here at org.springframework.orm.hibernate3.SpringSessionContext.currentSession (SpringSessionContext.java:63) at org.hibernate.impl.SessionFactoryImpl.getCurrentSession (SessionFactoryImpl.java:574) at groovysh_evaluate.run (groovysh_evaluate:3) ... groovy:000> How can I make this work from the shell?

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  • How can I automatically generate sql update scripts when some data is updated ?

    - by Brann
    I'd like to automatically generate an update script each time a value is modified in my database. In other words, if a stored procedure, or a query, or whatever updates column a with value b in table c (which as a pk column (i,j...k), I want to generate this : update c set a=b where i=... and j=... and k=... and store it somewhere (for example as a raw string in a table). To complicate things, I want the script to be generated only if the update has been made by a specific user. Good news is that I've got a primary key defined for all my tables. I can see how to do this using a trigger, but I would need to generate specific triggers for each table, and to update them each and every-time my schema changes. I guess there are some built-in ways to do this as SQL server sometimes need to store this kind of things (while using transactional replication for example), but couldn't find anything so far ... any ideas ? I'm also interested in ways to automatically generate triggers (probably using triggers - meta triggers, huh? - since I will need to update triggers automatically when the schema change)

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  • Need to exclude results in a MySQL query where two table fields are not of certain values (brain far

    - by DondeEstaMiCulo
    I don't know if I'm just burnt out and can't think, or what... But I can't seem to make this work right... (We're using MySQL 5.1...) I have two tables which have some transactional stuff stored in them. There will be many records per user_id in each table. Table1 and Table2 have a one-to-one relationship with each other. I want to pull records from both tables, but I want to exclude records which have certain values in both tables. I don't care if they both don't have these values, or if just one does, but both tables should not have both values. (Does this make any sense? lol) For example: SELECT t1.id, t1.type, t2.name FROM table1 t1 INNER JOIN table2 t2 ON table.xid = table2.id WHERE t1.user_id = 100 AND (t1.type != 'FOO' AND t2.name != 'BAR') So t1.type is type ENUM with about 10 different options, and t2.name is also type ENUM with 2 options. My expected results would look a little like: 1, FOO, YUM 2, BOO, BAR 3, BOO, YUM But instead, all I'm getting is: 3, BOO, YUM Because it's filtering out all records which has 'FOO' as the type, and 'BAR' as the name. I keep waiting for that D'oh! moment where it hits me and I feel like an idiot for not realizing what I'm doing wrong. But it hasn't come. And I still feel like an idiot, lol. I appreciate any light any of you can shed on this! Many thanks in advance for the help!

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  • DBTransactions between stateless calls using GUIDs

    - by Marty Trenouth
    I'm looking to add transactional support to my DB engine and providing to Abstract Transaction Handling down to passing in Guids with the DB Action Command. The DB engine would run similar to: private static Database DB; public static Dictionary<Guid,DBTransaction> Transactions = new ...() public static void DoDBAction(string cmdstring,List<Parameter> parameters,Guid TransactionGuid) { DBCommand cmd = BuildCommand(cmdstring,parameters); if(Transactions.ContainsKey(TransactionGuid)) cmd.Transaction = Transactions[TransactionGuid]; DB.ExecuteScalar(cmd); } public static BuildCommand(string cmd, List<Parameter> parameters) { // Create DB command from EntLib Database and assign parameters } public static Guid BeginTransaction() { // creates new Transaction adding it to "Transactions" and opens a new connection } public static Guid Commit(Guid g) { // Commits Transaction and removes it from "Transactions" and closes connection } public static Guid Rollback(Guid g) { // Rolls back Transaction and removes it from "Transactions" and closes connection } The Calling system would run similar to: Guid g try { g = DBEngine.BeginTransaction() DBEngine.DoDBAction(cmdstring1, parameters,g) // do some other stuff DBEngine.DoDBAction(cmdstring2, parameters2,g) // sit here and wait for a response from other item DBEngine.DoDBAction(cmdstring3, parameters3,g) DBEngine.Commit(g) } catch(Exception){ DBEngine.Rollback(g);} Does this interfere with .NET connection pooling (other than a connection be accidently left open)? Will EntLib keep the connection open until the commit or rollback?

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  • Exception handling in Spring MVC with 3 layer architecture

    - by Chorochrondochor
    I am building a simple web applications with 3 layers - DAO, Service, MVC. When in my Controller I want to delete menu group and it contains menus I am getting ConstraintViolationException. Where should I handle this exception? In DAO, Service, or in Controller? Currently I am handling the exception in Controller. My code below. DAO method for deleting menu groups: @Override public void delete(E e){ if (e == null){ throw new DaoException("Entity can't be null."); } getCurrentSession().delete(e); } Service method for deleting menu groups: @Override @Transactional(readOnly = false) public void delete(MenuGroupEntity menuGroupEntity) { menuGroupDao.delete(menuGroupEntity); } Controller method for deleting menu groups in Controller: @RequestMapping(value = "/{menuGroupId}/delete", method = RequestMethod.GET) public ModelAndView delete(@PathVariable Long menuGroupId, RedirectAttributes redirectAttributes){ MenuGroupEntity menuGroupEntity = menuGroupService.find(menuGroupId); if (menuGroupEntity != null){ try { menuGroupService.delete(menuGroupEntity); redirectAttributes.addFlashAttribute("flashMessage", "admin.menu-group-deleted"); redirectAttributes.addFlashAttribute("flashMessageType", "success"); } catch (Exception e){ redirectAttributes.addFlashAttribute("flashMessage", "admin.menu-group-could-not-be-deleted"); redirectAttributes.addFlashAttribute("flashMessageType", "danger"); } } return new ModelAndView("redirect:/admin/menu-group"); }

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  • MSMQ - Message Queue Abstraction and Pattern

    - by Maxim Gershkovich
    Hi All, Let me define the problem first and why a messagequeue has been chosen. I have a datalayer that will be transactional and EXTREMELY insert heavy and rather then attempt to deal with these issues when they occur I am hoping to implement my application from the ground up with this in mind. I have decided to tackle this problem by using the Microsoft Message Queue and perform inserts as time permits asynchronously. However I quickly ran into a problem. Certain inserts that I perform may need to be recalled (ie: retrieved) immediately (imagine this is for POS system and what happens if you need to recall the last transaction - one that still hasn’t been inserted). The way I decided to tackle this problem is by abstracting the MessageQueue and combining it in my data access layer thereby creating the illusion of a single set of data being returned to the user of the datalayer (I have considered the other issues that occur in such a scenario (ie: essentially dirty reads and such) and have concluded for my purposes I can control these issues). However this is where things get a little nasty... I’ve worked out how to get the messages back and such (trivial enough problem) but where I am stuck is; how do I create a generic (or at least somewhat generic) way of querying my message queue? One where I can minimize the duplication between the SQL queries and MessageQueue queries. I have considered using LINQ (but have very limited understanding of the technology) and have also attempted an implementation with Predicates which so far is pretty smelly. Are there any patterns for such a problem that I can utilize? Am I going about this the wrong way? Does anyone have an of their own ideas about how I can tackle this problem? Does anyone even understand what I am talking about? :-) Any and ALL input would be highly appreciated and seriously considered… Thanks again.

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  • Ember Data Sycn - LocalStorage+REST+RealTime+Online/Offline

    - by Miguel Madero
    We have a combination of requirements in terms o data access. Pre-load some reference data. We need reference data to survive browser restarts instead of just living in memory to avoid loading it all the time. I'm currently using the LocalStorageAdapter for that. Once we have it, we would like to sync changes (polling or using Socket.IO in the background and updating the LocalStorage could do the trick) There're other models that are more transactional, where we would need to directly go to the Server and get/save them. It would be nice to use something like the RESTAdapter for that. Lastly, there're some operations that should work off-line and changes should be synced later. To make it more concrete: * We pre-load vendor and "favorite products" into Local Storage. We work offline with those. * We need to sync server changes to vendor and product information. * If they search the full catalog, that requires them to be online. * When offline, we need to allow users to add something to their cart or even submit and order. We would like to queue this action and submit it when they have an Internet Connection. So a few questions are derived from this: * Is there a way to user RESTAdapter in combination with LocalStorage? * Is there some Socket.IO support? (Happy to do this part manually) * Is there Queueing support? Ideally at the Ember-Data level. I know we will have to do a lot of this manually and pull together the different lego pieces, but I wanted to ask for some perspective from experience Ember devs.

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  • Unit Testing the Use of TransactionScope

    - by Randolpho
    The preamble: I have designed a strongly interfaced and fully mockable data layer class that expects the business layer to create a TransactionScope when multiple calls should be included in a single transaction. The problem: I would like to unit test that my business layer makes use of a TransactionScope object when I expect it to. Unfortunately, the standard pattern for using TransactionScope is a follows: using(var scope = new TransactionScope()) { // transactional methods datalayer.InsertFoo(); datalayer.InsertBar(); scope.Complete(); } While this is a really great pattern in terms of usability for the programmer, testing that it's done seems... unpossible to me. I cannot detect that a transient object has been instantiated, let alone mock it to determine that a method was called on it. Yet my goal for coverage implies that I must. The Question: How can I go about building unit tests that ensure TransactionScope is used appropriately according to the standard pattern? Final Thoughts: I've considered a solution that would certainly provide the coverage I need, but have rejected it as overly complex and not conforming to the standard TransactionScope pattern. It involves adding a CreateTransactionScope method on my data layer object that returns an instance of TransactionScope. But because TransactionScope contains constructor logic and non-virtual methods and is therefore difficult if not impossible to mock, CreateTransactionScope would return an instance of DataLayerTransactionScope which would be a mockable facade into TransactionScope. While this might do the job it's complex and I would prefer to use the standard pattern. Is there a better way?

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  • Database doesn't update using TransactionScope

    - by Dissonant
    I have a client trying to communicate with a WCF service in a transactional manner. The client passes some data to the service and the service adds the data to its database accordingly. For some reason, the new data the service submits to its database isn't being persisted. When I have a look at the table data in the Server Explorer no new rows are added... Relevant code snippets are below: Client static void Main() { MyServiceClient client = new MyServiceClient(); Console.WriteLine("Please enter your name:"); string name = Console.ReadLine(); Console.WriteLine("Please enter the amount:"); int amount = int.Parse(Console.ReadLine()); using (TransactionScope transaction = new TransactionScope(TransactionScopeOption.Required)) { client.SubmitData(amount, name); transaction.Complete(); } client.Close(); } Service Note: I'm using Entity Framework to persist objects to the database. [OperationBehavior(TransactionScopeRequired = true, TransactionAutoComplete = true)] public void SubmitData(int amount, string name) { DatabaseEntities db = new DatabaseEntities(); Payment payment = new Payment(); payment.Amount = amount; payment.Name = name; db.AddToPayment(payment); //add to Payment table db.SaveChanges(); db.Dispose(); } I'm guessing it has something to do with the TransactionScope being used in the client. I've tried all combinations of db.SaveChanges() and db.AcceptAllChanges() as well, but the new payment data just doesn't get added to the database!

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  • How do i set the Transaction Isolation in EJB?

    - by Nitesh Panchal
    Hello, I am not able to find a way to set TransactionIsolation in ejb. Can anybody tell me how do i set it? I am using persistence. I have looked the following classes : EntityManager , EntityManagerFactory, UserTransaction. None of them seems to have any method like setTransactionIsolation or such. Do we need to change persistence.xml? I just read a book named Mastering EJB 3.0 4th edition. They gave a full 10 page theory about Isolation level that this problems occur and that occurs and such things but at the end they gave this paragraph :- "As we now know, the EJB standard does not deal with isolation levels directly, and rightly so. EJB is a component specification. It defines the behavior and contracts of a business component with clients and middleware infrastructure (containers) such that the component can be rendered as various middleware services properly. EJBs therefore are transactional components that interact with resource managers, such as the JDBC resource manager or JMS resource manager, via JTS, as part of a transaction. They are not, hence, resource components in themselves. Since isolation levels are very specific to the behavior and capabilities of the underlying resources, they should therefore be specified at the resource API levels. " What exactly does it mean? What is meant by resource level APIs? Please help me. If persistence has no way to set Isolation Level then why do they give such huge theory in an EJB book and make it heavy in weight unnecessarily :(

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  • grails question (sample 1 of Grails To Action book) problem with Controller and Service

    - by fegloff
    Hi, I'm doing Grails To Action sample for chapter one. Every was just fine until I started to work with Services. When I run the app I have the following error: groovy.lang.MissingPropertyException: No such property: quoteService for class: qotd.QuoteController at qotd.QuoteController$_closure3.doCall(QuoteController.groovy:14) at qotd.QuoteController$_closure3.doCall(QuoteController.groovy) at java.lang.Thread.run(Thread.java:619) Here is my groovie QuoteService class, which has an error within the definition of GetStaticQuote (ERROR: Groovy:unable to resolve class Quote) package qotd class QuoteService { boolean transactional = false def getRandomQuote() { def allQuotes = Quote.list() def randomQuote = null if (allQuotes.size() > 0) { def randomIdx = new Random().nextInt(allQuotes.size()) randomQuote = allQuotes[randomIdx] } else { randomQuote = getStaticQuote() } return randomQuote } def getStaticQuote() { return new Quote(author: "Anonymous",content: "Real Programmers Don't eat quiche") } } Controller groovie class package qotd class QuoteController { def index = { redirect(action: random) } def home = { render "<h1>Real Programmers do not each quiche!</h1>" } def random = { def randomQuote = quoteService.getRandomQuote() [ quote : randomQuote ] } def ajaxRandom = { def randomQuote = quoteService.getRandomQuote() render "<q>${randomQuote.content}</q>" + "<p>${randomQuote.author}</p>" } } Quote Class: package qotd class Quote { String content String author Date created = new Date() static constraints = { author(blank:false) content(maxSize:1000, blank:false) } } I'm doing the samples using Eclipse with grails addin. Any advice? Regards, Francisco

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  • Efficient database access when dealing with multiple abstracted repositories

    - by Nathan Ridley
    I want to know how most people are dealing with the repository pattern when it involves hitting the same database multiple times (sometimes transactionally) and trying to do so efficiently while maintaining database agnosticism and using multiple repositories together. Let's say we have repositories for three different entities; Widget, Thing and Whatsit. Each repository is abstracted via a base interface as per normal decoupling design processes. The base interfaces would then be IWidgetRepository, IThingRepository and IWhatsitRepository. Now we have our business layer or equivalent (whatever you want to call it). In this layer we have classes that access the various repositories. Often the methods in these classes need to do batch/combined operations where multiple repositories are involved. Sometimes one method may make use of another method internally, while that method can still be called independently. What about, in this scenario, when the operation needs to be transactional? Example: class Bob { private IWidgetRepository _widgetRepo; private IThingRepository _thingRepo; private IWhatsitRepository _whatsitRepo; public Bob(IWidgetRepository widgetRepo, IThingRepository thingRepo, IWhatsitRepository whatsitRepo) { _widgetRepo = widgetRepo; _thingRepo= thingRepo; _whatsitRepo= whatsitRepo; } public void DoStuff() { _widgetRepo.StoreSomeStuff(); _thingRepo.ReadSomeStuff(); _whatsitRepo.SaveSomething(); } public void DoOtherThing() { _widgetRepo.UpdateSomething(); DoStuff(); } } How do I keep my access to that database efficient and not have a constant stream of open-close-open-close on connections and inadvertent invocation of MSDTS and whatnot? If my database is something like SQLite, standard mechanisms like creating nested transactions are going to inherently fail, yet the business layer should not have to be concerning itself with such things. How do you handle such issues? Does ADO.Net provide simple mechanisms to handle this or do most people end up wrapping their own custom bits of code around ADO.Net to solve these types of problems?

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  • Spring Data Neo4J @Indexed(unique = true) not working

    - by Markus Lamm
    I'm new to Neo4J and I have, probably an easy question. There're NodeEntitys in my application, a property (name) is annotated with @Indexed(unique = true) to achieve the uniqueness like I do in JPA with @Column(unique = true). My problem is, that when I persist an entity with a name that already exists in my graph, it works fine anyway. But I expected some kind of exception here...?! Here' s an overview over basic my code: @NodeEntity public abstract class BaseEntity implements Identifiable { @GraphId private Long entityId; ... } public class Role extends BaseEntity { @Indexed(unique = true) private String name; ... } public interface RoleRepository extends GraphRepository<Role> { Role findByName(String name); } @Service public class RoleServiceImpl extends BaseEntityServiceImpl<Role> implements { private RoleRepository repository; @Override @Transactional public T save(final T entity) { return getRepository().save(entity); } } And this is my test: @Test public void testNameUniqueIndex() { final List<Role> roles = Lists.newLinkedList(service.findAll()); final String existingName = roles.get(0).getName(); Role newRole = new Role.Builder(existingName).build(); newRole = service.save(newRole); } That's the point where I expect something to go wrong! How can I ensure the uniqueness of a property, without checking it for myself?? THANKS IN ADVANCE FOR ANY IDEAS!! P.S.: I'm using neo4j 1.8.M07, spring-data-neo4j 2.1.0.BUILD-SNAPSHOT and Spring 3.1.2.RELEASE.

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  • Saving an ActiveRecord non-transactionally.

    - by theFunkyEngineer
    My application accepts file uploads, with some metadata being stored in the DB, and the file itself on the file system. I am trying to make the metadata visible in the application before the file upload and post-processing are finished, but because saves are transactional, I have had no success. I have tried the callbacks and calling create_or_update() instead of save(), all to no avail. Is there a way to do this without re-writing the guts of ActiveRecord::Base? I've even attempted naming the method make() instead of save(), but perplexingly that had no effect. The code below "works" fine, but the database is not modified until everything else is finished. def save(upload) uploadFile = upload['datafile'] originalName = uploadFile.original_filename self.fileType = File.extname(originalName) create_or_update() # write the file File.open(self.filePath, "wb") { |f| f.write(uploadFile.read) } begin musicFile = TagLib::File.new(self.filePath()) self.id3Title = musicFile.title self.id3Artist = musicFile.artist self.id3Length = musicFile.length rescue TagLib::BadFile => exc logger.error("Failed to id track: \n #{exc}") end if(self.fileType == '.mp3') convertToOGG(); end create_or_update() end Any ideas would be quite welcome, thanks.

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  • Should I be backing up a webapp's data to another host continuously ?

    - by user196289
    I have webapp in development. I need to plan for what happens if the host goes down. I will lose some very recent session status (which I can live with) and everything else should be persistently stored in the database. If I am starting up again after an outage, can I expect a good host to reconstruct the database to within minutes of where I was up to ? Or seconds ? Or should I build in a background process to continually mirror the database elsewhere ? What is normal / sensible ? Obviously a good host will have RAID and other redundancy so the likelihood of total loss should be low, and if they have periodic backups I should lose only very recent stuff but this is presumably likely to be designed with almost static web content in mind, and my site is transactional with new data being filed continuously (with a customer expectation that I don't ever lose it). Any suggestions / advice ? Are there off the shelf frameworks for doing this ? (I'm primarily working in Java) And should I just plan to save the data or should I plan to have an alternative usable host implementation ready to launch in case the host doesn't come back up in a suitable timeframe ?

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  • How to synchronize two (or n) replication processes for SQL Server databases?

    - by Yauheni Sivukha
    There are two master databases and two read-only copies updated by standard transactional replication. It is needed to map some entity from both read-only databases, lets say that A databases contains orders and B databases contains lines. The problem is that replication to one database can lag behind replication of second database, and at the moment of mapping R-databases will have inconsistent data. For example. We stored 2 orders with lines at 19:00 and 19:03. Mapping process started at 19:05, but to the moment of mapping A database replication processed all changes up to 19:03, but B database replication processed only changes up to 19:00. After mapping we will have order entity with order as of 19:03 and lines as of 19:00. The troubles are guaranteed:) In my particular case both databases have temporal model, so it is possible to fetch data for every time slice, but the problem is to identify time of latest replication. Question: How to synchronize replication processes for several databases to avoid situation described above? Or, in other words, how to compare last time of replication in each database? UPD: The only way I see to synchronize is to continuously write timestamps into service tables in each database and to check these timestamps on replicated servers. Is that acceptable solution?

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  • SQL SERVER – Weekend Project – Experimenting with ACID Transactions, SQL Compliant, Elastically Scalable Database

    - by pinaldave
    Database technology is huge and big world. I like to explore always beyond what I know and share the learning. Weekend is the best time when I sit around download random software on my machine which I like to call as a lab machine (it is a pretty old laptop, hardly a quality as lab machine) and experiment it. There are so many free betas available for download that it’s hard to keep track and even harder to find the time to play with very many of them.  This blog is about one you shouldn’t miss if you are interested in the learning various relational databases. NuoDB just released their Beta 7.  I had already downloaded their Beta 6 and yesterday did the same for 7.   My impression is that they are onto something very very interesting.  In fact, it might be something really promising in terms of database elasticity, scale and operational cost reduction. The folks at NuoDB say they are working on the world’s first “emergent” database which they tout as a brand new transitional database that is intended to dramatically change what’s possible with OLTP.  It is SQL compliant, guarantees ACID transactions, yet scales elastically on heterogeneous and decentralized cloud-based resources. Interesting note for sure, making me explore more. Based on what I’ve seen so far, they are solving the architectural challenge that exists between elastic, cloud-based compute infrastructures designed to scale out in response to workload requirements versus the traditional relational database management system’s architecture of central control. Here’s my experience with the NuoDB Beta 6 so far: First they pretty much threw away all the features you’d associate with existing RDBMS architectures except the SQL and ACID transactions which they were smart to keep.  It looks like they have incorporated a number of the big ideas from various algorithms, systems and techniques to achieve maximum DB scalability. From a user’s perspective, the NuoDB Beta software behaves like any other traditional SQL database and seems to offer all the benefits users have come to expect from standards-based SQL solutions. One of the interesting feature is that one can run a transactional node and a storage node on my Windows laptop as well on other platforms – indeed interesting for sure. It’s quite amazing to see a database elastically scale across machine boundaries. So, one of the basic NuoDB concepts is that as you need to scale out, you can easily use more inexpensive hardware when/where you need it.  This is unlike what we have traditionally done to scale a database for an application – we replace the hardware with something more powerful (faster CPU and Disks). This is where I started to feel like NuoDB is on to something that has the potential to elastically scale on commodity hardware while reducing operational expense for a big OLTP database to a degree we’ve never seen before. NuoDB is able to fully leverage the cloud in an asynchronous and highly decentralized manner – while providing both SQL compliance and ACID transactions. Basically what NuoDB is doing is so new that it is all hard to believe until you’ve experienced it in action.  I will keep you up to date as I test the NuoDB Beta 7 but if you are developing a web-scale application or have an on-premise app you are thinking of moving to the cloud, testing this beta is worth your time. If you do try it, let me know what you think.  Before I say anything more, I am going to do more experiments and more test on this product and compare it with other existing similar products. For me it was a weekend worth spent on learning something new. I encourage you to download Beta 7 version and share your opinions here. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Oracle Big Data Software Downloads

    - by Mike.Hallett(at)Oracle-BI&EPM
    Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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  • Organizational characteristics that impact the selection of Development Methodology concepts applied to a project

    Based on my experience, no one really follows a specific methodology exactly as it is formally designed. In fact, the key concepts of a few methodologies are usually combined to form a hybrid methodology for each project based on the current organizational makeup and the project need/requirements to be accomplished. Organizational characteristics that impact the selection of methodology concepts applied to a project. Prior subject knowledge pertaining to a project can be critical when deciding on what methodology or combination of methodologies to apply to a project. For example, if a project is very straight forward, and the development staff has experience in developing  that are similar, then the waterfall method could possibly be the best choice because little to no research is needed  in order to complete the project tasks and there is very little need for changes to occur.  On the other hand, if the development staff has limited subject knowledge or the requirements/specification of the project could possibly change as the project progresses then the use of spiral, iterative, incremental, agile, or any combination would be preferred. The previous methodologies used by an organization typically do not change much from project to project unless the needs of a project dictate differently. For example, if the waterfall method is the preferred development methodology then most projects will be developed by the waterfall method. Depending on the time allotted to a project each day can impact the selection of a development methodology. In one example, if the staff can only devote a few hours a day to a project then the incremental methodology might be ideal because modules can be added to the final project as they are developed. On the other hand, if daily time allocation is not an issue, then a multitude of methodologies could work well for a project. Project characteristics that impact the selection of methodology concepts applied to a project. The type of project being developed can often dictate the type of methodology used for the project. Based on my experience, projects that tend to have a lot of user interaction, follow a more iterative, incremental, or agile approach typically using a prototype that develops into a final project. These methodologies desire back and forth communication between users, clients, and developers to allow for requirements to change and functionality to be enhanced. Conversely, limited interaction applications or automated services can still sometimes get away with using the waterfall or transactional approach. The timeline of a project can also force an organization to prefer a particular methodology over the rest. For instance, if the project must be completed within 24 hours, then there is very little time for discussions back and forth between clients, users and the development team. In this scenario, the waterfall method would be perfect because the only interaction with the client occurs prior to a development project to outline the system requirements, and the development team can quickly move through the software development stages in order to complete the project within the deadline. If the team had more time, then the other methodologies could also be considered because there is more time for client and users to review the project and make changes as they see fit, and/or allow for more time to review the project in order to enhance the business performance and functionality. Sometimes the client and or user involvement can dictate the selection of methodologies applied to a project. One example of this is if a client is highly motivated to get a project completed and desires to play an active part in the development process then the agile development approach would work perfectly with this client because it allows for frequent interaction between clients, users and the development team. The inverse of this situation is a client that just wants to provide the project requirements and only wants to get involved when the project is to be delivered. In this case the waterfall method would work well because there is no room for changes and no back and forth between the users, clients or the development team.

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  • UPK Hands-on Labs at OHUG

    - by Karen Rihs
    Going to OHUG, June 18-22? Be sure to attend one or more UPK hands-on labs! Choose from Basic, Advanced, What's New, and Prebuilt Content!   Oracle User Productivity Kit 11.1 Workshop – Basic Stephen Armbruster, Oracle Corporation June 19, 2012, 11:00 a.m. – 12:00 p.m. June 20, 2012, 4:30 – 5:30 p.m. The User Productivity Kit (UPK) is a comprehensive, cost-effective, customizable solution that helps your organization quickly create the critical documentation, training, and support materials needed to drive project team and user productivity throughout the lifecycle of your software. The User Productivity Kit provides system process documentation, user acceptance test scripts, comprehensive instructor-led training materials, web-based training materials, role-based performance support, and complete documentation. Also provided is the UPK Developer, which serves as a single-source development and customization tool to enable rapid content creation and customization. The User Productivity Kit delivers: Business process documentation for fit-gap analysis - providing time and cost savings that jump-start your implementation or upgrade User Acceptance test scripts to help test applications prior to go-live State-of-the-art instructional design tools to rapidly build and tailor documentation, instructor-led training materials, and web-based training to fit organizational needs Live-application performance support with transactional and procedural information to maximize user efficiency. By registering for this hands-on UPK workshop, participants will use UPK to build an application job aid and simulation that can be used as performance support for the application. But hurry, space is limited! Oracle User Productivity Kit 11.1 Workshop – Advanced Stephen Armbruster, Oracle Corporation June 20, 2012, 1:30 – 2:30 p.m. This special workshop is for those already familiar with UPK and will cover advanced concepts. In this workshop, you will gain an in-depth knowledge of working with the UPK Developer. Following this workshop, you will be able to: Create publishing categories Add a logo to a publishing project Publish using the newly created category Configure your own library view Manage topic history in a multi-user environment Oracle User Productivity Kit 11.1 Workshop – What’s NEW! Stephen Armbruster, Oracle Corporation June 19, 2012, 1:30 – 2:30 p.m. June 21, 2012, 1:00 – 2:00 p.m. This special workshop is for those already familiar with UPK and will focus on the new features included in the latest version 11.1. In this workshop, you will review most of the new features included in the UPK Developer. Oracle User Productivity Kit 11.1 Workshop – Prebuilt Content Stephen Armbruster, Oracle Corporation June 19, 2012, 4:30 – 5:30 p.m. June 21, 2012, 2:15 – 3:15 p.m. This special workshop is for those already familiar with UPK and will focus on the latest version 11.1. At the end of this workshop, you will be able to demonstrate how to: Import prebuilt content Modify content frames Add a decision frame Translate a topic into Spanish Stephen Armbruster is a principal sales consultant, specializing in HCM and UPK applications for Oracle over the past twelve years. In addition to his current role, he serves as an ambassador for the Fusion User Experience (UX) team and is tasked with evangelizing the UX for end users across all Oracle brands (Fusion, PSFT, JDE, and EBS).  He is also a trusted advisor to Oracle’s Product Management teams related to Learning Management Systems (LMS). Prior to joining Oracle, he was an instructor as well as an instructional technologist working in the medical diagnostics, high tech, and information management industries. As an expert in both LMS and UPK, he regularly speaks at Oracle conferences including Oracle OpenWorld and OHUG on topics that span using Oracle solutions to accomplish employee training, certification, and user adoption. His presentations are both entertaining and engaging.

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  • Today's Links (6/30/2011)

    - by Bob Rhubart
    James Gosling Says He Doesn't Care About Java But here's the rest of the story: "What I really care about is the Java Virtual Machine as a concept," says Gosling, "because that is the thing that ties it all together; it's the thing that makes Java the language possible; it's the thing that makes things work on all kinds of different platforms; and it makes all kinds of languages able to coexist." Virtual Developer Day: SOA Accelerate Your Development with Oracle SOA Suite. Learn how in this FREE on-line workshop with Hands-on labs July 12th 9 am to 1:30 PM PST" July 12th 9 am to 1:30 PM PST Podcast: Toronto Architect Day Panel Discussion Part 3 (of 4) is now available, in which the panel (including Oracle ACE Director Cary Millsap and InfoQ editor and co-founder Floyd Marinescu) discusses public vs private cloud as the best strategy for small businesses and start-ups. WebLogic Weekly for June 27th, 2011 | James Bayer Bayer shares the latest resources for those with WebLogic on the brain. Griffiths Waite at Oracle Open World | Mark Simpson Oracle ACE Director Mark Simpson share information on the presentations he's scheduled to give at Oracle OpenWorld San Francisco 2011. Kscope Solid Service Bus Implementations Peter Paul van de Beek's Kscope11 presentation "is aimed at supporting architects and especially developers to choose the right integration infrastructure for a job." Migration To Java EE 6 With Spring 3 - ...Could Become "Interesting" | Adam Bien "Put simply, big data implies datasets so large they can't normally be processed using a standard transactional database," says David Dorf. "The term 'noSQL' is often used in this context as well." Book Review: "Designing With the Mind In Mind" | Abhinav Agarwal According to Abhinav Agarwal, Jeff Johnson's new book is about "the theory of how the mind perceives information, of how humans understand what they read, and how our eyes are attuned to paying attention to not just what's happening in front of us but also at the periphery of our vision." BPM 11g Advanced Workshop | Martien van den Akker Martien van den Akker shares his thoughts on both the workshop he recently attended and on the Oracle BPM 11g product. Fusion Applications - What You Need To Know: Product Families | Floyd Teter "Fusion Applications are organized into seven groups of related products called Product Families," observes Oracle ACE Director Floyd Teter. "While the product features are organized according to the Business Process Model and can cross the boundaries of product families, the product family groupings are an easy way to wrap your mind around Fusion Apps." Grid Control: Refreshing Weblogic Domains | Dave Best Dave Best shares tips for avoiding problems when using grid control to centrally manage/monitor your environment. Webcast: Oracle to Announce Datanomic Integration Plans The combination of Datanomic technology and the previous acquisition of Silver Creek Systems will deliver a complete, integrated and best-of-breed solution for Data Quality. Learn about Oracle’s strategy and product plans and how the new products acquired from Datanomic will impact your organization. July 19, 2011, 8:00am PT / 11:00am ET. Speakers include Michael Weingartner (Vice President, Product Development, Oracle), Martin Boyd (Senior Director, Product Strategy, Oracle), and Dain Hansen (Director, Product Marketing, Fusion Middleware, Oracle).

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  • Oracle OpenWorld Update: Demo Pods and Hands-on Labs

    - 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;} Less than one week away until the start of Oracle OpenWorld 2012 and the Data Integration Solutions team is ready to go!  We have an exciting line up for you this year which we have summarized for you in the Oracle OpenWorld Focus on Data Integration Solutions document. In past posts we have discussed session themes and our customer panel, but today I would like to summarize our Hands-on Labs and Demo Pods that we have available for attendees. For Oracle GoldenGate Hands-On Labs we have two labs that we are running this year. Deep Dive into Oracle GoldenGate Thursday October 4th at 11:15AM in the Marriott Marquis Salon 1/2 Oracle GoldenGate provides real-time log-based change data capture and delivery between heterogeneous systems. It enables cost-effective, low-impact, real-time data integration and continuous availability solutions. This session covers Oracle GoldenGate 11g’s internal product architecture and includes a hands-on lab that covers configuration examples for target database instantiation and real-time change data capture and delivery. The participants will configure Oracle GoldenGate to instantiate a secondary database that can be used for disaster recovery or a reporting instance. Come learn how easy it is to use and how this can be a very valuable and easy technology solution for your organization. Introduction to Oracle GoldenGate Veridata Wednesday October 3rd 10:15AM in the Marriott Marquis Sales 1/2 Oracle GoldenGate Veridata compares one set of data with another and identifies data that is out of synchronization. In this hands-on lab, you will be introduced to the key features of this product. Using the Oracle GoldenGate Veridata Web client, you will have the opportunity to configure comparison objects and rules, initiate a comparison, review the status and output of a comparison, and review out-of-sync data. As a bonus this year, we have recorded the labs and made them available on youtube.com/oraclegoldengate. These will be available the day of the labs. Our demo pods are an opportunity for attendees to see our products but more so to meet the product management and development teams. I would like to point out that we have two Oracle GoldenGate 11gR2 demo pods, one in the database camp and the other in the middleware camp. The one in the middleware camp will be focused on all platforms while the one in the database camp will have a focus on the Oracle platform. The other two I would like to point out are the Monitoring Oracle GoldenGate and the Oracle Enterprise Manager demo pods; both of these pods will focus on methods to monitor GoldenGate but the OEM demo pod will have a specific focus on the Oracle GoldenGate Management Pack plug-in for OEM. Below is a list of our demo pods and their locations. Monitoring Oracle GoldenGate for End-to-End Visibility Moscone South, Right - S-241 Oracle Data Integrator and Oracle GoldenGate for Oracle Applications Moscone South, Right - S-240 Oracle GoldenGate 11gR2 New Features Moscone South, Right - S-239 Oracle GoldenGate 11gR2: Real-Time, Transactional Database Replication     Moscone South, Left - S-027 Oracle GoldenGate Veridata and Adapters Moscone South, Right - S-242 Oracle Enterprise Manager Moscone South, Left - S-040 Keep tuned to our blog during the show for news and highlights from the Data Integration Solutions team. See you there.

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  • Multitenant Design for SQL Azure: White Paper Available

    - by Herve Roggero
    Cloud computing is about scaling out all your application tiers, from web application to the database layer. In fact, the whole promise of Azure is to pay for just what you need. You need more IIS servers? No problemo... just spin another web server. You expect to double your storage needs for Azure Tables? No problemo; you are covered there too... just pay for your storage needs. But what about the database tier, SQL Azure? How do you add new databases easily, and transparently, so that your application simply uses more of SQL Azure if its needs to? Without changing a single line of code? And what if you need to scale back down? Welcome to the world of database scalability. There are many terms that describe database scalability, including data federation, multitenant designs, and even NoSQL depending on the technical solution you are implementing.  Because SQL Azure is a transactional database system, NoSQL is not really an option. However data federation and multitenant designs offer some very interesting scalability options that are worth considering. Data federation, a feature of SQL Azure that will be offered in the future, offers very interesting capabilities available natively on the SQL Azure platform. More to come in a few weeks... Multitenant designs on the other hand are design practices and technologies designed to help you reach flexible scalability options not available otherwise. The first incarnation of such a method was made available on CodePlex as an open source project (http://enzosqlshard.codeplex.com).  This project was an attempt to provide a sharding library for educational purposes.  All that sounds really cool... and really esoteric... almost a form of database "voodoo"... However after being on multiple Azure projects I am starting to see a real need. Customers want to be able to free themselves from the database tier, so that if they have 10 new customers tomorrow, all they need to do is add 2 more SQL Azure instances. It's that simple. How you achieve this, and suggested application design guidelines, are available in a white paper I just published.  The white paper offers two primary sections. The first section describes the business and technical problem at hand, and how to classify it according to specific design patterns. For example, I discuss compressed shards through schema separation. The second section offers a method for addressing the needs of a multitenant design using a new library, the big bother of the codeplex project mentioned previously (that I created earlier this year), complete with management interface and such. A Beta of this platform will be made available within weeks; as soon as the documentation will be ready.   I would like to ask you to drop me a quick email at [email protected] if you are going to download the white paper. It's not required, but it would help me get in touch with you for feedback.  You can download this white paper here:   http://www.bluesyntax.net/files/EnzoFramework.pdf . Thank you, and I am looking for feedback, thoughts and implementation opportunities.

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  • ArchBeat Link-o-Rama Top 10 for December 9-15, 2012

    - by Bob Rhubart
    You click, we listen. The following list reflects the Top 10 most popular items posted on the OTN ArchBeat Facefbook page for the week of December 9-15, 2012. DevOps Basics II: What is Listening on Open Ports and Files – WebLogic Essentials | Dr. Frank Munz "Can you easily find out which WebLogic servers are listening to which port numbers and addresses?" asks Dr. Frank Munz. The good doctor has an answer—and a tech tip. Using OBIEE against Transactional Schemas Part 4: Complex Dimensions | Stewart Bryson "Another important entity for reporting in the Customer Tracking application is the Contact entity," says Stewart Bryson. "At first glance, it might seem that we should simply build another dimension called Dim – Contact, and use analyses to combine our Customer and Contact dimensions along with our Activity fact table to analyze Customer and Contact behavior." SOA 11g Technology Adapters – ECID Propagation | Greg Mally "Many SOA Suite 11g deployments include the use of the technology adapters for various activities including integration with FTP, database, and files to name a few," says Oracle Fusion Middleware A-Team member Greg Mally. "Although the integrations with these adapters are easy and feature rich, there can be some challenges from the operations perspective." Greg's post focuses on technical tips for dealing with one of these challenges. Podcast: DevOps and Continuous Integration In Part 1 of a 3-part program, panelists Tim Hall (Senior Director of product management for Oracle Enterprise Repository and Oracle’s Application Integration Architecture), Robert Wunderlich (Principal Product Manager for Oracle’s Application Integration Architecture Foundation Pack) and Peter Belknap (Director of product management for Oracle SOA Integration) discuss why DevOps matters and how it changes development methodologies and organizational structure. Good To Know - Conflicting View Objects and Shared Entity | Andrejus Baranovskis Oracle ACE Director Andrejus Baranovskis shares his thoughts -- and a sample application -- dealing with an "interesting ADF behavior" encountered over the weekend. Cloud Deployment Models | B. R. Clouse Looking out for the cloud newbies... "As the cloud paradigm grows in depth and breadth, more readers are approaching the topic for the first time, or from a new perspective," says B. R. Clouse. "This blog is a basic review of cloud deployment models, to help orient newcomers and neophytes." Service governance morphs into cloud API management | David Linthicum "When building and using clouds, the ability to manage APIs or services is the single most important item you can provide to ensure the success of the project," says David Linthicum. "But most organizations driving a cloud project for the first time have no experience handling a service-based architecture and don't see the need for API management until after deployment. By then, it's too late." Oracle Fusion Middleware Security: Password Policy in OAM 11g R2 | Rob Otto Rob Otto continues the Oracle Fusion Middleware A-Team "Oracle Access Manager Academy" series with a detailed look at OAM's ability to support "a subset of password management processes without the need to use Oracle Identity Manager and LDAP Sync." Understanding the JSF Lifecycle and ADF Optimized Lifecycle | Steven Davelaar Could you call that a surprise ending? Oracle WebCenter & ADF Architecture Team (A-Team) member learned a lot more than he expected while creating a UKOUG presentation entitled "What you need to know about JSF to be succesful with ADF." Expanding on requestaudit - Tracing who is doing what...and for how long | Kyle Hatlestad "One of the most helpful tracing sections in WebCenter Content (and one that is on by default) is the requestaudit tracing," says Oracle Fusion Middleware A-Team architect Kyle Hatlestad. Get up close and technical in his post. Thought for the Day "There is no code so big, twisted, or complex that maintenance can't make it worse." — Gerald Weinberg Source: SoftwareQuotes.com

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