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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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  • Windows Azure Recipe: Mobile Computing

    - by Clint Edmonson
    A while back, mashups were all the rage. The idea was to compose solutions that provided aggregation and integration across applications and services to make information more available, useful, and personal. Mashups ushered in the era of Web 2.0 in all it’s socially connected goodness. They taught us that to be successful, we needed to add web service APIs to our web applications. Web and client based mashups met with great success and have evolved even further with the introduction of the internet connected smartphone. Nothing is more available, useful, or personal than our smartphones. The current generation of cloud connected mobile computing mashups allow our mobilized workforces to receive, process, and react to information from disparate sources faster than ever before. Drivers Integration Reach Time to market Solution Here’s a sketch of a prototypical mobile computing solution using Windows Azure: Ingredients Web Role – with the phone running a dedicated client application, the web role is responsible for serving up backend web services that implement the solution’s core connected functionality. Database – used to store core operational and workflow data for the solution’s web services. Access Control – this service is used to authenticate and manage users identity, roles, and groups, possibly in conjunction with 3rd identity providers such as Windows LiveID, Google, Yahoo!, and Facebook. Worker Role – this role is used to handle the orchestration of long-running, complex, asynchronous operations. While much of the integration and interaction with other services can be handled directly by the mobile client application, it’s possible that the backend may need to integrate with 3rd party services as well. Offloading this work to a worker role better distributes computing resources and keeps the web roles focused on direct client interaction. Queues – these provide reliable, persistent messaging between applications and processes. They are an absolute necessity once asynchronous processing is involved. Queues facilitate the flow of distributed events and allow a solution to send push notifications back to mobile devices at appropriate times. Training & Resources These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. Windows Azure Toolkit for Windows Phone The Windows Azure Toolkit for Windows Phone is designed to make it easier for you to build mobile applications that leverage cloud services running in Windows Azure. The toolkit includes Visual Studio project templates for Windows Phone and Windows Azure, class libraries optimized for use on the phone, sample applications, and documentation Windows Azure Toolkit for iOS The Windows Azure Toolkit for iOS is a toolkit for developers to make it easy to access Windows Azure storage services from native iOS applications. The toolkit can be used for both iPhone and iPad applications, developed using Objective-C and XCode. Windows Azure Toolkit for Android The Windows Azure Toolkit for Android is a toolkit for developers to make it easy to work with Windows Azure from native Android applications. The toolkit can be used for native Android applications developed using Eclipse and the Android SDK. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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  • AdventureWorks2012 now available for all on SQL Azure

    - by jamiet
    Three days ago I tweeted this: Idea. MSFT could host read-only copies of all the [AdventureWorks] DBs up on #sqlazure for the SQL community to use. RT if agree #sqlfamily — Jamie Thomson (@jamiet) March 24, 2012 Evidently I wasn't the only one that thought this was a good idea because as you can see from the screenshot that tweet has, so far, been retweeted more than fifty times. Clearly there is a desire to see the AdventureWorks databases made available for the community to noodle around on so I am pleased to announce that as of today you can do just that - [AdventureWorks2012] now resides on SQL Azure and is available for anyone, absolutely anyone, to connect to and use* for their own means. *By use I mean "issue some SELECT statements". You don't have permission to issue INSERTs, UPDATEs, DELETEs or EXECUTEs I'm afraid - if you want to do that then you can get the bits and host it yourself. This database is free for you to use but SQL Azure is of course not free so before I give you the credentials please lend me your ears eyes for a short while longer. AdventureWorks on Azure is being provided for the SQL Server community to use and so I am hoping that that same community will rally around to support this effort by making a voluntary donation to support the upkeep which, going on current pricing, is going to be $119.88 per year. If you would like to contribute to keep AdventureWorks on Azure up and running for that full year please donate via PayPal to [email protected]: Any amount, no matter how small, will help. If those 50+ people that retweeted me beforehand all contributed $2 then that would just about be enough to keep this up for a year. If the community contributes more that we need then there are a number of additional things that could be done: Host additional databases (Northwind anyone??) Host in more datacentres (this first one is in Western Europe) Make a charitable donation That last one, a charitable donation, is something I would really like to do. The SQL Community have proved before that they can make a significant contribution to charitable orgnisations through purchasing the SQL Server MVP Deep Dives book and I harbour hopes that AdventureWorks on Azure can continue in that vein. So please, if you think AdventureWorks on Azure is something that is worth supporting please make a contribution. OK, with the prickly subject of begging for cash out of the way let me share the details that you need to connect to [AdventureWorks2012] on SQL Azure: Server mhknbn2kdz.database.windows.net  Database AdventureWorks2012 User sqlfamily Password sqlf@m1ly That user sqlfamily has all the permissions required to enable you to query away to your heart's content. Here is the code that I used to set it up: CREATE USER sqlfamily FOR LOGIN sqlfamily;CREATE ROLE sqlfamilyrole;EXEC sp_addrolemember 'sqlfamilyrole','sqlfamily';GRANT VIEW DEFINITION ON Database::AdventureWorks2012 TO sqlfamilyrole;GRANT VIEW DATABASE STATE ON Database::AdventureWorks2012 TO sqlfamilyrole;GRANT SHOWPLAN TO sqlfamilyrole;EXEC sp_addrolemember 'db_datareader','sqlfamilyrole'; You can connect to the database using SQL Server Management Studio (instructions to do that are provided at Walkthrough: Connecting to SQL Azure via the SSMS) or you can use the web interface at https://mhknbn2kdz.database.windows.net: Lastly, just for a bit of fun I created a table up there called [dbo].[SqlFamily] into which you can leave a small calling card. Simply execute the following SQL statement (changing the values of course): INSERT [dbo].[SqlFamily]([Name],[Message],[TwitterHandle],[BlogURI])VALUES ('Your name here','Some Message','your twitter handle (optional)','Blog URI (optional)'); [Id] is an IDENTITY field and there is a default constraint on [DT] hence there is no need to supply a value for those. Note that you only have INSERT permissions, not UPDATE or DELETE so make sure you get it right first time! Any offensive or distasteful remarks will of course be deleted :) Thank you for reading this far and have fun using AdventureWorks on Azure. I hope it proves to be useful for some of you. @jamiet AdventureWorks on Azure - Provided by the SQL Server community, for the SQL Server community!

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  • Node.js Adventure - Storage Services and Service Runtime

    - by Shaun
    When I described on how to host a Node.js application on Windows Azure, one of questions might be raised about how to consume the vary Windows Azure services, such as the storage, service bus, access control, etc.. Interact with windows azure services is available in Node.js through the Windows Azure Node.js SDK, which is a module available in NPM. In this post I would like to describe on how to use Windows Azure Storage (a.k.a. WAS) as well as the service runtime.   Consume Windows Azure Storage Let’s firstly have a look on how to consume WAS through Node.js. As we know in the previous post we can host Node.js application on Windows Azure Web Site (a.k.a. WAWS) as well as Windows Azure Cloud Service (a.k.a. WACS). In theory, WAWS is also built on top of WACS worker roles with some more features. Hence in this post I will only demonstrate for hosting in WACS worker role. The Node.js code can be used when consuming WAS when hosted on WAWS. But since there’s no roles in WAWS, the code for consuming service runtime mentioned in the next section cannot be used for WAWS node application. We can use the solution that I created in my last post. Alternatively we can create a new windows azure project in Visual Studio with a worker role, add the “node.exe” and “index.js” and install “express” and “node-sqlserver” modules, make all files as “Copy always”. In order to use windows azure services we need to have Windows Azure Node.js SDK, as knows as a module named “azure” which can be installed through NPM. Once we downloaded and installed, we need to include them in our worker role project and make them as “Copy always”. You can use my “Copy all always” tool mentioned in my last post to update the currently worker role project file. You can also find the source code of this tool here. The source code of Windows Azure SDK for Node.js can be found in its GitHub page. It contains two parts. One is a CLI tool which provides a cross platform command line package for Mac and Linux to manage WAWS and Windows Azure Virtual Machines (a.k.a. WAVM). The other is a library for managing and consuming vary windows azure services includes tables, blobs, queues, service bus and the service runtime. I will not cover all of them but will only demonstrate on how to use tables and service runtime information in this post. You can find the full document of this SDK here. Back to Visual Studio and open the “index.js”, let’s continue our application from the last post, which was working against Windows Azure SQL Database (a.k.a. WASD). The code should looks like this. 1: var express = require("express"); 2: var sql = require("node-sqlserver"); 3:  4: var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:ac6271ya9e.database.windows.net,1433;Database=synctile;Uid=shaunxu@ac6271ya9e;Pwd={PASSWORD};Encrypt=yes;Connection Timeout=30;"; 5: var port = 80; 6:  7: var app = express(); 8:  9: app.configure(function () { 10: app.use(express.bodyParser()); 11: }); 12:  13: app.get("/", function (req, res) { 14: sql.open(connectionString, function (err, conn) { 15: if (err) { 16: console.log(err); 17: res.send(500, "Cannot open connection."); 18: } 19: else { 20: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 21: if (err) { 22: console.log(err); 23: res.send(500, "Cannot retrieve records."); 24: } 25: else { 26: res.json(results); 27: } 28: }); 29: } 30: }); 31: }); 32:  33: app.get("/text/:key/:culture", function (req, res) { 34: sql.open(connectionString, function (err, conn) { 35: if (err) { 36: console.log(err); 37: res.send(500, "Cannot open connection."); 38: } 39: else { 40: var key = req.params.key; 41: var culture = req.params.culture; 42: var command = "SELECT * FROM [Resource] WHERE [Key] = '" + key + "' AND [Culture] = '" + culture + "'"; 43: conn.queryRaw(command, function (err, results) { 44: if (err) { 45: console.log(err); 46: res.send(500, "Cannot retrieve records."); 47: } 48: else { 49: res.json(results); 50: } 51: }); 52: } 53: }); 54: }); 55:  56: app.get("/sproc/:key/:culture", function (req, res) { 57: sql.open(connectionString, function (err, conn) { 58: if (err) { 59: console.log(err); 60: res.send(500, "Cannot open connection."); 61: } 62: else { 63: var key = req.params.key; 64: var culture = req.params.culture; 65: var command = "EXEC GetItem '" + key + "', '" + culture + "'"; 66: conn.queryRaw(command, function (err, results) { 67: if (err) { 68: console.log(err); 69: res.send(500, "Cannot retrieve records."); 70: } 71: else { 72: res.json(results); 73: } 74: }); 75: } 76: }); 77: }); 78:  79: app.post("/new", function (req, res) { 80: var key = req.body.key; 81: var culture = req.body.culture; 82: var val = req.body.val; 83:  84: sql.open(connectionString, function (err, conn) { 85: if (err) { 86: console.log(err); 87: res.send(500, "Cannot open connection."); 88: } 89: else { 90: var command = "INSERT INTO [Resource] VALUES ('" + key + "', '" + culture + "', N'" + val + "')"; 91: conn.queryRaw(command, function (err, results) { 92: if (err) { 93: console.log(err); 94: res.send(500, "Cannot retrieve records."); 95: } 96: else { 97: res.send(200, "Inserted Successful"); 98: } 99: }); 100: } 101: }); 102: }); 103:  104: app.listen(port); Now let’s create a new function, copy the records from WASD to table service. 1. Delete the table named “resource”. 2. Create a new table named “resource”. These 2 steps ensures that we have an empty table. 3. Load all records from the “resource” table in WASD. 4. For each records loaded from WASD, insert them into the table one by one. 5. Prompt to user when finished. In order to use table service we need the storage account and key, which can be found from the developer portal. Just select the storage account and click the Manage Keys button. Then create two local variants in our Node.js application for the storage account name and key. Since we need to use WAS we need to import the azure module. Also I created another variant stored the table name. In order to work with table service I need to create the storage client for table service. This is very similar as the Windows Azure SDK for .NET. As the code below I created a new variant named “client” and use “createTableService”, specified my storage account name and key. 1: var azure = require("azure"); 2: var storageAccountName = "synctile"; 3: var storageAccountKey = "/cOy9L7xysXOgPYU9FjDvjrRAhaMX/5tnOpcjqloPNDJYucbgTy7MOrAW7CbUg6PjaDdmyl+6pkwUnKETsPVNw=="; 4: var tableName = "resource"; 5: var client = azure.createTableService(storageAccountName, storageAccountKey); Now create a new function for URL “/was/init” so that we can trigger it through browser. Then in this function we will firstly load all records from WASD. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: } 18: } 19: }); 20: } 21: }); 22: }); When we succeed loaded all records we can start to transform them into table service. First I need to recreate the table in table service. This can be done by deleting and creating the table through table client I had just created previously. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: // transform the records 26: } 27: }); 28: }); 29: } 30: } 31: }); 32: } 33: }); 34: }); As you can see, the azure SDK provide its methods in callback pattern. In fact, almost all modules in Node.js use the callback pattern. For example, when I deleted a table I invoked “deleteTable” method, provided the name of the table and a callback function which will be performed when the table had been deleted or failed. Underlying, the azure module will perform the table deletion operation in POSIX async threads pool asynchronously. And once it’s done the callback function will be performed. This is the reason we need to nest the table creation code inside the deletion function. If we perform the table creation code after the deletion code then they will be invoked in parallel. Next, for each records in WASD I created an entity and then insert into the table service. Finally I send the response to the browser. Can you find a bug in the code below? I will describe it later in this post. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: // transform the records 26: for (var i = 0; i < results.rows.length; i++) { 27: var entity = { 28: "PartitionKey": results.rows[i][1], 29: "RowKey": results.rows[i][0], 30: "Value": results.rows[i][2] 31: }; 32: client.insertEntity(tableName, entity, function (error) { 33: if (error) { 34: error["target"] = "insertEntity"; 35: res.send(500, error); 36: } 37: else { 38: console.log("entity inserted"); 39: } 40: }); 41: } 42: // send the 43: console.log("all done"); 44: res.send(200, "All done!"); 45: } 46: }); 47: }); 48: } 49: } 50: }); 51: } 52: }); 53: }); Now we can publish it to the cloud and have a try. But normally we’d better test it at the local emulator first. In Node.js SDK there are three build-in properties which provides the account name, key and host address for local storage emulator. We can use them to initialize our table service client. We also need to change the SQL connection string to let it use my local database. The code will be changed as below. 1: // windows azure sql database 2: //var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:ac6271ya9e.database.windows.net,1433;Database=synctile;Uid=shaunxu@ac6271ya9e;Pwd=eszqu94XZY;Encrypt=yes;Connection Timeout=30;"; 3: // sql server 4: var connectionString = "Driver={SQL Server Native Client 11.0};Server={.};Database={Caspar};Trusted_Connection={Yes};"; 5:  6: var azure = require("azure"); 7: var storageAccountName = "synctile"; 8: var storageAccountKey = "/cOy9L7xysXOgPYU9FjDvjrRAhaMX/5tnOpcjqloPNDJYucbgTy7MOrAW7CbUg6PjaDdmyl+6pkwUnKETsPVNw=="; 9: var tableName = "resource"; 10: // windows azure storage 11: //var client = azure.createTableService(storageAccountName, storageAccountKey); 12: // local storage emulator 13: var client = azure.createTableService(azure.ServiceClient.DEVSTORE_STORAGE_ACCOUNT, azure.ServiceClient.DEVSTORE_STORAGE_ACCESS_KEY, azure.ServiceClient.DEVSTORE_TABLE_HOST); Now let’s run the application and navigate to “localhost:12345/was/init” as I hosted it on port 12345. We can find it transformed the data from my local database to local table service. Everything looks fine. But there is a bug in my code. If we have a look on the Node.js command window we will find that it sent response before all records had been inserted, which is not what I expected. The reason is that, as I mentioned before, Node.js perform all IO operations in non-blocking model. When we inserted the records we executed the table service insert method in parallel, and the operation of sending response was also executed in parallel, even though I wrote it at the end of my logic. The correct logic should be, when all entities had been copied to table service with no error, then I will send response to the browser, otherwise I should send error message to the browser. To do so I need to import another module named “async”, which helps us to coordinate our asynchronous code. Install the module and import it at the beginning of the code. Then we can use its “forEach” method for the asynchronous code of inserting table entities. The first argument of “forEach” is the array that will be performed. The second argument is the operation for each items in the array. And the third argument will be invoked then all items had been performed or any errors occurred. Here we can send our response to browser. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: async.forEach(results.rows, 26: // transform the records 27: function (row, callback) { 28: var entity = { 29: "PartitionKey": row[1], 30: "RowKey": row[0], 31: "Value": row[2] 32: }; 33: client.insertEntity(tableName, entity, function (error) { 34: if (error) { 35: callback(error); 36: } 37: else { 38: console.log("entity inserted."); 39: callback(null); 40: } 41: }); 42: }, 43: // send reponse 44: function (error) { 45: if (error) { 46: error["target"] = "insertEntity"; 47: res.send(500, error); 48: } 49: else { 50: console.log("all done"); 51: res.send(200, "All done!"); 52: } 53: } 54: ); 55: } 56: }); 57: }); 58: } 59: } 60: }); 61: } 62: }); 63: }); Run it locally and now we can find the response was sent after all entities had been inserted. Query entities against table service is simple as well. Just use the “queryEntity” method from the table service client and providing the partition key and row key. We can also provide a complex query criteria as well, for example the code here. In the code below I queried an entity by the partition key and row key, and return the proper localization value in response. 1: app.get("/was/:key/:culture", function (req, res) { 2: var key = req.params.key; 3: var culture = req.params.culture; 4: client.queryEntity(tableName, culture, key, function (error, entity) { 5: if (error) { 6: res.send(500, error); 7: } 8: else { 9: res.json(entity); 10: } 11: }); 12: }); And then tested it on local emulator. Finally if we want to publish this application to the cloud we should change the database connection string and storage account. For more information about how to consume blob and queue service, as well as the service bus please refer to the MSDN page.   Consume Service Runtime As I mentioned above, before we published our application to the cloud we need to change the connection string and account information in our code. But if you had played with WACS you should have known that the service runtime provides the ability to retrieve configuration settings, endpoints and local resource information at runtime. Which means we can have these values defined in CSCFG and CSDEF files and then the runtime should be able to retrieve the proper values. For example we can add some role settings though the property window of the role, specify the connection string and storage account for cloud and local. And the can also use the endpoint which defined in role environment to our Node.js application. In Node.js SDK we can get an object from “azure.RoleEnvironment”, which provides the functionalities to retrieve the configuration settings and endpoints, etc.. In the code below I defined the connection string variants and then use the SDK to retrieve and initialize the table client. 1: var connectionString = ""; 2: var storageAccountName = ""; 3: var storageAccountKey = ""; 4: var tableName = ""; 5: var client; 6:  7: azure.RoleEnvironment.getConfigurationSettings(function (error, settings) { 8: if (error) { 9: console.log("ERROR: getConfigurationSettings"); 10: console.log(JSON.stringify(error)); 11: } 12: else { 13: console.log(JSON.stringify(settings)); 14: connectionString = settings["SqlConnectionString"]; 15: storageAccountName = settings["StorageAccountName"]; 16: storageAccountKey = settings["StorageAccountKey"]; 17: tableName = settings["TableName"]; 18:  19: console.log("connectionString = %s", connectionString); 20: console.log("storageAccountName = %s", storageAccountName); 21: console.log("storageAccountKey = %s", storageAccountKey); 22: console.log("tableName = %s", tableName); 23:  24: client = azure.createTableService(storageAccountName, storageAccountKey); 25: } 26: }); In this way we don’t need to amend the code for the configurations between local and cloud environment since the service runtime will take care of it. At the end of the code we will listen the application on the port retrieved from SDK as well. 1: azure.RoleEnvironment.getCurrentRoleInstance(function (error, instance) { 2: if (error) { 3: console.log("ERROR: getCurrentRoleInstance"); 4: console.log(JSON.stringify(error)); 5: } 6: else { 7: console.log(JSON.stringify(instance)); 8: if (instance["endpoints"] && instance["endpoints"]["nodejs"]) { 9: var endpoint = instance["endpoints"]["nodejs"]; 10: app.listen(endpoint["port"]); 11: } 12: else { 13: app.listen(8080); 14: } 15: } 16: }); But if we tested the application right now we will find that it cannot retrieve any values from service runtime. This is because by default, the entry point of this role was defined to the worker role class. In windows azure environment the service runtime will open a named pipeline to the entry point instance, so that it can connect to the runtime and retrieve values. But in this case, since the entry point was worker role and the Node.js was opened inside the role, the named pipeline was established between our worker role class and service runtime, so our Node.js application cannot use it. To fix this problem we need to open the CSDEF file under the azure project, add a new element named Runtime. Then add an element named EntryPoint which specify the Node.js command line. So that the Node.js application will have the connection to service runtime, then it’s able to read the configurations. Start the Node.js at local emulator we can find it retrieved the connections, storage account for local. And if we publish our application to azure then it works with WASD and storage service through the configurations for cloud.   Summary In this post I demonstrated how to use Windows Azure SDK for Node.js to interact with storage service, especially the table service. I also demonstrated on how to use WACS service runtime, how to retrieve the configuration settings and the endpoint information. And in order to make the service runtime available to my Node.js application I need to create an entry point element in CSDEF file and set “node.exe” as the entry point. I used five posts to introduce and demonstrate on how to run a Node.js application on Windows platform, how to use Windows Azure Web Site and Windows Azure Cloud Service worker role to host our Node.js application. I also described how to work with other services provided by Windows Azure platform through Windows Azure SDK for Node.js. Node.js is a very new and young network application platform. But since it’s very simple and easy to learn and deploy, as well as, it utilizes single thread non-blocking IO model, Node.js became more and more popular on web application and web service development especially for those IO sensitive projects. And as Node.js is very good at scaling-out, it’s more useful on cloud computing platform. Use Node.js on Windows platform is new, too. The modules for SQL database and Windows Azure SDK are still under development and enhancement. It doesn’t support SQL parameter in “node-sqlserver”. It does support using storage connection string to create the storage client in “azure”. But Microsoft is working on make them easier to use, working on add more features and functionalities.   PS, you can download the source code here. You can download the source code of my “Copy all always” tool here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • Access Denied

    - by Tony Davis
    When Microsoft executives wake up in the night screaming, I suspect they are having a nightmare about their own version of Frankenstein's monster. Created with the best of intentions, without thinking too hard of the long-term strategy, and having long outlived its usefulness, the monster still lives on, occasionally wreaking vengeance on the innocent. Its name is Access; a living synthesis of disparate body parts that is resistant to all attempts at a mercy-killing. In 1986, Microsoft had no database products, and needed one for their new OS/2 operating system, the successor to MSDOS. In 1986, they bought exclusive rights to Sybase DataServer, and were also intent on developing a desktop database to capture Ashton-Tate's dominance of that market, with dbase. This project, first called 'Omega' and later 'Cirrus', eventually spawned two products: Visual Basic in 1991 and Access in late 1992. Whereas Visual Basic battled with PowerBuilder for dominance in the client-server market, Access easily won the desktop database battle, with Dbase III and DataEase falling away. Access did an excellent job of abstracting and simplifying the task of building small database applications in a short amount of time, for a small number of departmental users, and often for a transient requirement. There is an excellent front end and forms generator. We not only see it in Access but parts of it also reappear in SSMS. It's good. A business user can pull together useful reports, without relying on extensive technical support. A skilled Access programmer can deliver a fairly sophisticated application, whilst the traditional client-server programmer is still sharpening his pencil. Even for the SQL Server programmer, the forms generator of Access is useful for sketching out application designs. So far, so good, but here's where the problems start; Access ties together two different products and the backend of Access is the bugbear. The limitations of Jet/ACE are well-known and documented. They range from MDB files that are prone to corruption, especially as they grow in size, pathetic security, and "copy and paste" Backups. The biggest problem though, was an infamous lack of scalability. Because Microsoft never realized how long the product would last, they put little energy into improving the beast. Microsoft 'ate their own dog food' by using Access for Microsoft Exchange and Outlook. They choked on it. For years, scalability and performance problems with Exchange Server have been laid at the door of the Jet Blue engine on which it relies. Substantial development work in Exchange 2010 was required, just in order to improve the engine and storage schema so that it more efficiently handled the reading and writing of mails. The alternative of using SQL Server just never panned out. The Jet engine was designed to limit concurrent users to a small number (10-20). When Access applications outgrew this, bitter experience proved that there really is no easy upgrade path from Access to SQL Server, beyond rewriting the whole lot from scratch. The various initiatives to do this never quite bridged the cultural gulf between Access and a true relational database So, what are the obvious alternatives for small, strategic database applications? I know many users who, for simple 'list maintenance' requirements are very happy using Excel databases. Surely, now that PowerPivot has led the way, it is time for Microsoft to offer a new RAD package for database application development; namely an Excel-based front end for SQL Server Express. In that way, we'll have a powerful and familiar front end, to a scalable database, and a clear upgrade path when an app takes off and needs to go enterprise. Cheers, Tony.

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  • ResourceSerializable: an alternate to ORM and ActiveRecord

    - by Levi Morrison
    A few opinionated reasons I don't like the traditional ORM and ActiveRecord patterns: They work only with a database. Sometimes I'm dealing with objects from an API and other objects from a database. All the implementations I have seen don't allow for that. Feel free to clue me in if I'm wrong on this. They are brittle. Changes in the database will likely break your implemenation. Some implementations can help reduce this, but a few of the ones I've seen don't. Their very design is influenced by the database. If I want to switch to using an API, I'll have to redesign the object to get it to work (likely). It seems to violate the single-responsibility pattern. They know what they are and how they act, but they also know how they are created, destroyed and saved? Seems a bit much. What about an approach that is somewhat more familiar in PHP: implementing an interface? In php 5.4, we'll have the JsonSerializable interface that defines the data to be json_encoded, so users will become accustomed to this type of thing. What if there was a ResourceSerializable interface? This is still an ORM by name, but certainly not by tradition. interface ResourceSerializable { /** * Returns the id that identifies the resource. */ function resourceId(); /** * Returns the 'type' of the resource. */ function resourceType(); /** * Returns the data to be serialized. */ function resourceSerialize(); } Things might be poorly named, I'll take suggestions. Notes: ResourceId will work for API's and databases. As long as your primary key in the database is the same as the resource ID in the API, there is no conflict. All of the API's I've worked with have a unique ID for the resource, so I don't see any issues there. ResourceType is the group or type associated with the resource. You can use this to map the resource to an API call or a database table. If the ResourceType was person, it could map to /api/1/person/{resourceId} and the table persons (or people, if it's smart enough). resourceSerialize() returns the data to be stored. Keys would identify API parameters and database table columns. This also seems easier to test than ActiveRecord / Orm implemenations. I haven't done much automated testing on traditional ActiveRecord/ORM implemenations, so this is merely a guess. But it seems that I being able to create objects independently of the library helps me. I don't have to use load() to get an existing resource, I can simply create one and set all the right properties. This is not so easy in the ActiveRecord / Orm implemenations I've dealt with. Downsides: You need another object to serialize it. This also means you have more code in general as you have to use more objects. You have to map resource types to API calls and database tables. This is even more work, but some ORMs and ActiveRecord implementations require you to map objects to table names anyway. Are there other downsides that you see? Does this seem feasible to you? How would you improve it? Note: I almost asked this on StackOverflow because it might be too vague for their standards, but I'm still not really familiar with programmers.stackexchange.com, so please help me improve my question if it doesn't shape up to standards here.

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  • My Experience at Oracle !!! By Ayush Gupta

    - by Nadiya
    Normal 0 false false false EN-US X-NONE X-NONE Hi! My name is Ayush, a Gratuate from BITS Pilani and now working and living in Bangalore. I joined Oracle in August 2013 as a Senior Consultant (SC) and would like to share my experiences over the first couple of months with you.It has been a wonderful journey so far. The last two months have been very exciting for me. First of all I would like to mention that the training program at Oracle that we went through really prepared us well. It matured us and allowed us to go from developing small applications in college to big enterprise products. Two months of initial training has had a lasting impact for me. I am also really enjoying the knowledge I have gained so far and also learning new things in the form of product training. It's really fun to work here. We are treated like adults and we are responsible for our own workloads.With that I can't keep from mentioning the fun times we as a team have in the form of Young Leadership programme in Hotel Fortune Trinity which included Luxurious buffet lunch too. Wishing it could happen more frequently.  Oracle provides one of the best opportunities to learn various technologies across different platforms. What I like best about working at Oracle is the work life balance. With the option of flexible timings, one can easily enjoy planned evenings with friends or maybe working out at the fitness centre in your building. Be it the birthday celebrations at office or the day long team outing at a resort, It’s all together a different experience. Overall, you get to take full ownership of your project and they give you a free leash on how you design your enhancements/changes.As one of the largest international companies, Oracle is obviously an expert on exploring the potential and possibility of inexperienced new hires. We were taught how to make an outstanding team work in a group training session at the first few weeks. From this experience I realized that perfect cooperation is not about where you come from or what your study background is, everyone can find his or her own role to support the team. Even though I am not that skilled in technology, my background has significantly helped me in learning new technologies in Oracle.My idea and suggestion is: for new joiners, the will to learn is be more important than what you have learnt before. Colleagues here at Oracle are professionals in their field, always friendly and glad to help. So don’t worry, all you need to do is just be confident, and have a nice attitude, Oracle will let you fully display your talent. Come and join us, here you can always find a tailor made role for you! /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-ascii- mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi- mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Certify October Updates

    - by Sadia2
    Normal 0 false false false EN-US X-NONE X-NONE We have added some release and platform certifications to MOS Certify. Applications: Oracle Demantra 12.2.2 Collaboration Technologies: Oracle On Track Communication 1.0.0.0.0 Database : Oracle Database 11.2.0.4.0, Oracle Database Client 11.2.0.4.0, 11.2.0.3.0, Oracle Clusterware 12.1.0.1.0, 11.2.0.4.0, Oracle Real Application Clusters 12.1.0.1.0, 11.2.0.4.0, Oracle TimesTen In-Memory Database 11.2.2.5.0, Oracle Audit Vault and Database Firewall 12.1.1.0.0, Oracle Database Client 10.2.0.5, Oracle Secure Enterprise Search 11.2.2.2.0 E-Business Suite: Oracle E-Business Suite 12.2.2, 12.1.3, 12.1.2, 12.1.1, 12.0.4, 11.5.10.2, 11.5.9.2 Edge Applications: Oracle Transportation Management 6.3.2 Enterprise Manager: Enterprise Manager Base Platform – OMS 12.1.0.3.0 FSGBU Insurance Group: Oracle Health Insurance Back Office 10.13.2.0.0 Fusion Middleware: Oracle Application Development Framework 11.1.1.6.0, Oracle Business Intelligence Enterprise Edition 11.1.1.7.0, Oracle BI Answers 11.1.1.7.0, Oracle BI Composer 11.1.1.7.0, Oracle BI Presentation Services 11.1.1.7.0, Oracle BI Delivers 11.1.1.7.0, Oracle BI Interactive Dashboards 11.1.1.7.0, Oracle BI Scorecard and Strategy Management 11.1.1.7.0, Oracle BI Catalog Manager 11.1.1.7.0, Oracle BI Search 11.1.1.7.0, Oracle BIP Enterprise 11.1.1.7.0, Oracle BIP Scheduler 11.1.1.7.0, Oracle Real-Time Decision Center 11.1.1.7.0, Oracle Segmentation Server 11.1.1.7.0, Oracle JRE 1.7.0_45, 1.7.0_40, 1.7.0_25, 1.7.0_21, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.7.0_10, 1.6.0_65, 1.6.0_26, Oracle JDK 1.7.0_45, 1.7.0_25, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.6.0_65, 1.6.0_41, 1.6.0_26, Oracle Discoverer 11.1.1.7.0, 11.1.1.6.0, Discoverer Administrator 11.1.1.7.0, 11.1.1.6.0, Discoverer Desktop 11.1.1.7.0, 11.1.1.6.0, Oracle GoldenGate 12.1.2.0.0, Oracle GoldenGate Director 12.1.2.0.0, Java 1.7.0_10, Oracle Fusion Middleware 12.1.2.0.0, Oracle Data Integrator Agent 12.1.2.0.0, Oracle Data Integrator Studio 12.1.2.0.0, Oracle Data Integrator Console 12.1.2.0.0 JD Edwards EnterpriseOne: JD Edwards EnterpriseOne Enterprise Server 9.1.3.0, JD Edwards EnterpriseOne One View Reporting 9.1.3.0, JD Edwards EnterpriseOne Mobile Applications 9.0.2.0, 9.0.0.0, 9.1.2.0, JD Edwards EnterpriseOne for iPad 1.0.0.0 Linux & Server Virtualization (x86): Oracle VM Server for x86 3.2.6.0.0, 3.2.4.0.0, 3.2.3.0.0, 3.2.2.0.0, 3.2.1.0.0 MySQL: MySQL Database Server 5.6, 5.5, MySQL Cluster 7.3, 7.2, 7.1 Oracle Fusion Applications : Oracle Fusion Applications 11.1.7.0.0, 11.1.6.0.0, 11.1.5.0.0, 11.1.4.0.0 PeopleSoft: PeopleSoft PeopleTools 8.53, 8.52, 8.51, 8.5 Primavera GBU: Primavera Project Portfolio Mgmt 6.2.1, Primavera P6 Enterprise Project Portfolio Management 8.3.0.0.0 Siebel Enterprise: Siebel Application Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Database Server 8.2.2.4.0, 8.1.1.11.0 Siebel Web Server Extension 8.1.1.10.0 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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  • Heading out to Dallas GiveCamp 2011

    - by dotgeek
    The day has finally arrived for twelve local charities here in the Dallas area, when they’ll get some help from various local Developers with their website initiative needs at this years Dallas GiveCamp. I’m really looking forward to helping out at this year event and what I hope will be the start of many more GiveCamps to follow. Similar to Habitat for Humanity, where people gather to help build and improve homes for people in need, GiveCamp brings together programmers and equips them with the virtual tools they need to build and improve their existing websites. Tonight is when things will kickoff for this weekends events and teams will start working on their various projects. The building continues on through the night then and all the way through until Sunday afternoon. The end goal for the teams and charities is to have a completed and working website for each charity to begin using and turn over all the production code and digital assets to them. None of this would be possible with out the great sponsors we have returning once again and their donations of various products to help these charities out with their projects, like Telerik's CMS product Sitefinity 4.0, paired with a year of hosting from Verio to mention just a few of them. Just like the skilled builders who might help train volunteers in the use of a nail gun in building a house. Training is also available here on site for the Developers and these local Charities. Giving them all the skills in how to manage and use these products, from site development and then into actual production is a key to the success of this weekends event.     Tonight's training sessions will kick off with a real treat from Giovanni Gallucci, as he speaks about Social Media for NPOs and then later Gabe Sumner from Telerik will begin a training session on Sitefinity for Developers. These training sessions will continue through out the weekend with .Net Nuke and Mojo Portal sessions also planned as well. If you’re a developer and would like to help out in the future, then check in your area and with your local User Groups to find out if you already have a GiveCamp near you to help out. If you don’t have one available, then consider starting up a local GiveCamp and then you too can help Code it Forward. About GiveCamp GiveCamp is a weekend-long event where software developers, designers, and database administrators donate their time to create custom software for non-profit organizations. This custom software could be a new website for the nonprofit organization, a small data-collection application to keep track of members, or a application for the Red Cross that automatically emails a blood donor three months after they’ve donated blood to remind them that they are now eligible to donate again. The only limitation is that the project should be scoped to be able to be completed in a weekend. During GiveCamp, developers are welcome to go home in the evenings or camp out all weekend long. There are usually food and drink provided at the event. There are sometimes even game systems set up for when you and your need a little break! Overall, it’s a great opportunity for people to work together, developing new friendships, and doing something important for their community. At GiveCamp, there is an expectation of “What Happens at GiveCamp, Stays at GiveCamp”. Therefore, all source code must be turned over to the charities at the end of the weekend (developers cannot ask for payment) and the charities are responsible for maintaining the code moving forward (charities cannot expect the developers to maintain the codebase).

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  • Cloud Backup: Getting the Users' Backs Up

    - by Tony Davis
    On Wednesday last week, Microsoft announced that as of July 1, all data transfers into its Microsoft Azure cloud will be free (though you have to pay for transferring data out). On Thursday last week, SQL Azure in Western Europe went down. It was a relatively short outage, but since SQL Azure currently provides no easy way to take a standard backup of a database and store it locally, many people had no recourse but to wait patiently for their cloud-based app to resume. It seems that Microsoft are very keen encourage developers to move their data onto their cloud, but are developers ready to do it, given that such basic backup capabilities are lacking? Recently on Simple-Talk, Mike Mooney described a perfect use case for the Microsoft Cloud. They had a simple web-based application with a SQL Server backend; they could move the application to Windows Azure, and the data into SQL Azure and in the process free themselves from much of the hassle surrounding management and scaling of the hardware, network and so on. It was a great fit and yet it nearly didn't happen; lack of support for the BACKUP command almost proved a show-stopper. Of course, backups of Azure databases are always and have always been taken automatically, for disaster recovery purposes, but these are strictly on-cloud copies and as of now it is not possible to use them to them to restore a database to a particular point in time. It seems that none of those clever Microsoft people managed to predict the need to perform basic backups of Azure databases so that copies could be stored locally, outside the Azure universe. At the very least, as Mike points out, performing a local backup before a new deployment is more or less mandatory. Microsoft did at least note the sound of gnashing teeth and, as a stop-gap measure, offered SQL Azure Database Copy which basically allows you to create an online clone of your database, but this doesn't allow for storing local archives of the data. To that end MS has provided SQL Azure Import/Export, to package up and export a database and its data, using BACPACs. These BACPACs do not guarantee transactional consistency; for example, if a child table is modified after the parent is copied, then the copied database will be in inconsistent state (meaning, to add to the fun, BACPACs need to be created from a database copy). In any event, widespread problems with BACPAC's evil cousin, the DACPAC have been well-documented, and it seems likely that many will also give BACPAC the bum's rush. Finally, in a TechEd 2011 presentation tagged "SQL Azure Advanced Administration", it was announced that "backup and restore" were coming in the next SQL Azure CTP. And yet this still doesn't mean that we'll get simple backups as DBAs know and love them. What it does mean, at least, is the ability to restore any given database to a point in time within a 2-week window. For the time being, if you want a local copy of your data and don't want to brave the BACPAC, one is left with SSIS or BCP, creative use of schema and data comparison tools, or use of SQL Azure Backup (currently in beta) in order to perform this simple but vital task. Cheers, Tony.

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  • Windows Azure Recipe: Consumer Portal

    - by Clint Edmonson
    Nearly every company on the internet has a web presence. Many are merely using theirs for informational purposes. More sophisticated portals allow customers to register their contact information and provide some level of interaction or customer support. But as our understanding of how consumers use the web increases, the more progressive companies are taking advantage of social web and rich media delivery to connect at a deeper level with the consumers of their goods and services. Drivers Cost reduction Scalability Global distribution Time to market Solution Here’s a sketch of how a Windows Azure Consumer Portal might be built out: Ingredients Web Role – this will host the core of the solution. Each web role is a virtual machine hosting an application written in ASP.NET (or optionally php, or node.js). The number of web roles can be scaled up or down as needed to handle peak and non-peak traffic loads. Database – every modern web application needs to store data. SQL Azure databases look and act exactly like their on-premise siblings but are fault tolerant and have data redundancy built in. Access Control (optional) – if identity needs to be tracked within the solution, the access control service combined with the Windows Identity Foundation framework provides out-of-the-box support for several social media platforms including Windows LiveID, Google, Yahoo!, Facebook. It also has a provider model to allow integration with other platforms as well. Caching (optional) – for sites with high traffic with lots of read-only data and lists, the distributed in-memory caching service can be used to cache and serve up static data at higher scale and speed than direct database requests. It can also be used to manage user session state. Blob Storage (optional) – for sites that serve up unstructured data such as documents, video, audio, device drivers, and more. The data is highly available and stored redundantly across data centers. Each entry in blob storage is provided with it’s own unique URL for direct access by the browser. Content Delivery Network (CDN) (optional) – for sites that service users around the globe, the CDN is an extension to blob storage that, when enabled, will automatically cache frequently accessed blobs and static site content at edge data centers around the world. The data can be delivered statically or streamed in the case of rich media content. Training Labs These links point to online Windows Azure training labs where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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  • SQLAuthority News – Live Virtual Classroom New Trend in Technology

    - by nupurdave
    This blog post is by Nupur Dave, who is housewife and works from home. Changing times and a super busy lifestyle have rendered most of us powerless when it comes to doing what we love to do. I feel that a man never ceases to learn and his sole aim is to seek knowledge, and keep growing. However, our tight schedules and packed calendars mean that we really have to struggle to take some time out and follow the path towards learning. Like all working professionals with a family to take care of, I hardly found time to pursue my interests. However, it was getting increasingly important for me to upgrade my skills, not only for my personal quest for knowledge but to also substantiate my professional standing. When I came to know about Koenig Live Virtual Classroom from friends, it piqued my interest. I felt like it was the answer to all my concerns. Without wasting a single minute, I contacted Koenig for a demo class. Here are some of the highlights of Koenig LVC which instantly struck a chord in me: Online Training – Koenig offers 1-on-1 Online Training with the instructor at the other end. Doesn’t matter where I am sitting, in my office or at home, I can connect to my trainer from anywhere. Flexible Timings – The most comfortable part is you get to choose the time that suits you best. Economical -  No need to travel a thousand miles, the experts are right here on your computer screen. So no extra cost of travel, lodging and meals. 24X7 Lab Access: This is again a great feature that proved to be very beneficial in gaining a practical understanding of the subject. Powered by a data center, this facility offers students much to look forward to. 300+ Full Time Certified Experts: Be assured that you are learning from the best people in the industry. Customized Courses: Course material and training delivery is completely customized to suit your specific requirements. Official Courseware: The instructor teaches from official courseware of the vendor, depending on which course you have applied for – be it Microsoft, Cisco, Oracle or any other certification. Take Exam from Anywhere: Post completion of your IT training, you can take your certification exam from anywhere. Again, no need to travel a thousand miles to earn certified status. No Pre-Recorded Sessions: For those who still need clarification, it will be a live online classroom with trainers instructing you in real time. So you won’t get any surprises of getting pre-recorded sessions in place of your live instructor. Koenig’s Live Virtual Classroom methodology greatly exceeded my expectations. The instructor was highly skilled and very professional. I had concerns about the quality of AV on the computer screen, and whether I’ll be able to understand each topic in detail. However, the quality of video and sound, and the learning methodology used was impeccable. If you’re also facing time crunch and other commitment issues which are getting in the way of your professional development, LVC is the best solution to learn and grow. To know more about Student Experiences and Feedback of Koenig LVC, you can view their Testimonials. Reference: Nupur Dave (http://blog.sqlauthority.com)Filed under: SQL Authority

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  • Fast Data - Big Data's achilles heel

    - by thegreeneman
    At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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  • Setting up your project

    - by ssoolsma
    Before any coding we first make sure that the project is setup correctly. (Please note, that this blog is all about how I do it, and incase i forget, i can return here and read how i used to do it. Maybe you come up with some idea’s for yourself too.) In these series we will create a minigolf scoring cart. Please note that we eventually create a fully functional application which you cannot use unless you pay me alot of money! (And i mean alot!)   1. Download and install the appropriate tools. Download the following: - TestDriven.Net (free version on the bottom of the download page) - nUnit TestDriven is a visual studio plugin for many unittest frameworks, which allows you to run  / test code very easily with a right click –> run test. nUnit is the test framework of choice, it works seamless with TestDriven.   2. Create your project Fire up visual studio and create your DataAccess project:  MidgetWidget.DataAccess is it’s name. (I choose MidgetWidget as name for the solution). Also, make sure that the MidgetWidget.DataAccess project is a c# ClassLibary Hit OK to create the solution. (in the above example the checkbox Create directory for solution is checked, because i’m pointing the location to the root of c:\development where i want MidgetWidget to be created.   3. Setup the database. You should have thought about a database when you reach this point. Let’s assume that you’ve created a database as followed: Table name: LoginKey Fields: Id (PK), KeyName (uniqueidentifier), StartDate (datetime), EndDate (datetime) Table name:  Party Fields: Id (PK), Key (uniqueidentifier, Created (datetime) Table name:  Person Fields: Id(PK),  PartyId (int), Name (varchar) Tablename: Score Fields: Id (PK), Trackid (int), PersonId (int), Strokes (int) Tablename: Track Fields: Id (PK), Name (varchar) A few things to take note about the database setup. I’ve singularized all tablenames (not “Persons“ but “Person”. This is because in a few minutes, when this is in our code, we refer to the database objects as single rows. We retrieve a single Person not a single “Persons” from the database.   4. Create the entity framework In your solution tree create a new folder and call it “DataModel”. Inside this folder: Add new item –> and choose ADO.NET Entity Data Model. Name it “Entities.edmx” and hit  “Add”. Once the edmx is added, open it (double click) and right click the white area and choose “Update model from database…". Now, point it to your database (i include sensitive data in the connectionstring) and select all the tables. After that hit “Finish” and let the entity framework do it’s code generation. Et Voila, after a few seconds you have set up your entity model. Next post we will start building the data-access! I’m off to the beach.

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  • Oracle Announces New Oracle Exastack Program for ISV Partners

    - by pfolgado
    Oracle Exastack Program Enables ISV Partners to Leverage a Scalable, Integrated Infrastructure to Deliver Their Applications Tuned and Optimized for High-Performance News Facts Enabling Independent Software Vendors (ISVs) and other members of Oracle Partner Network (OPN) to rapidly build and deliver faster, more reliable applications to end customers, Oracle today introduced Oracle Exastack Ready, available now, and Oracle Exastack Optimized, available in fall 2011 through OPN. The Oracle Exastack Program focuses on helping ISVs run their solutions on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud -- integrated systems in which the software and hardware are engineered to work together. These products provide partners with a lower cost and high performance infrastructure for database and application workloads across on-premise and cloud based environments. Leveraging the new Oracle Exastack Program in which applications can qualify as Oracle Exastack Ready or Oracle Exastack Optimized, partners can use available OPN resources to optimize their applications to run faster and more reliably -- providing increased performance to their end users. By deploying their applications on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud, ISVs can reduce the cost, time and support complexities typically associated with building and maintaining a disparate application infrastructure -- enabling them to focus more on their core competencies, accelerating innovation and delivering superior value to customers. After qualifying their applications as Oracle Exastack Ready, partners can note to customers that their applications run on and support Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud component products including Oracle Solaris, Oracle Linux, Oracle Database and Oracle WebLogic Server. Customers can be confident when choosing a partner's Oracle Exastack Optimized application, knowing it has been tuned by the OPN member on Oracle Exadata Database Machine or Oracle Exalogic Elastic Cloud with a goal of delivering optimum speed, scalability and reliability. Partners participating in the Oracle Exastack Program can also leverage their Oracle Exastack Ready and Oracle Exastack Optimized applications to advance to Platinum or Diamond level in OPN. Oracle Exastack Programs Provide ISVs a Reliable, High-Performance Application Infrastructure With the Oracle Exastack Program ISVs have several options to qualify and tune their applications with Oracle Exastack, including: Oracle Exastack Ready: Oracle Exastack Ready provides qualifying partners with specific branding and promotional benefits based on their adoption of Oracle products. If a partner application supports the latest major release of one of these products, the partner may use the corresponding logo with their product marketing materials: Oracle Solaris Ready, Oracle Linux Ready, Oracle Database Ready, and Oracle WebLogic Ready. Oracle Exastack Ready is available to OPN members at the Gold level or above. Additionally, OPN members participating in the program can leverage their Oracle Exastack Ready applications toward advancement to the Platinum or Diamond levels in the OPN Specialized program and toward achieving Oracle Exastack Optimized status. Oracle Exastack Optimized: When available, for OPN members at the Gold level or above, Oracle Exastack Optimized will provide direct access to Oracle technical resources and dedicated Oracle Exastack lab environments so OPN members can test and tune their applications to deliver optimal performance and scalability on Oracle Exadata Database Machine or Oracle Exalogic Elastic Cloud. Oracle Exastack Optimized will provide OPN members with specific branding and promotional benefits including the use of the Oracle Exastack Optimized logo. OPN members participating in the program will also be able to leverage their Oracle Exastack Optimized applications toward advancement to Platinum or Diamond level in the OPN Specialized program. Oracle Exastack Labs and ISV Enablement: Dedicated Oracle Exastack lab environments and related technical enablement resources (including Guided Learning Paths and Boot Camps) will be available through OPN for OPN members to further their knowledge of Oracle Exastack offerings, and qualify their applications for Oracle Exastack Optimized or Oracle Exastack Ready. Oracle Exastack labs will be available to qualifying OPN members at the Gold level or above. Partners are eligible to participate in the Oracle Exastack Ready program immediately, which will help them meet the requirements to attain Oracle Exastack Optimized status in the future. Guidelines for Oracle Exastack Optimized, as well as Oracle Exastack Labs will be available in fall 2011. Supporting Quotes "In order to effectively differentiate their software applications in the marketplace, ISVs need to rapidly deliver new capabilities and performance improvements," said Judson Althoff, Oracle senior vice president of Worldwide Alliances and Channels and Embedded Sales. "With Oracle Exastack, ISVs have the ability to optimize and deploy their applications with a complete, integrated and cloud-ready infrastructure that will help them accelerate innovation, unlock new features and functionality, and deliver superior value to customers." "We view performance as absolutely critical and a key differentiator," said Tom Stock, SVP of Product Management, GoldenSource. "As a leading provider of enterprise data management solutions for securities and investment management firms, with Oracle Exadata Database Machine, we see an opportunity to notably improve data processing performance -- providing high quality 'golden copy' data in a reduced timeframe. Achieving Oracle Exastack Optimized status will be a stamp of approval that our solution will provide the performance and scalability that our customers demand." "As a leading provider of Revenue Intelligence solutions for telecommunications, media and entertainment service providers, our customers continually demand more readily accessible, enriched and pre-analyzed information to minimize their financial risks and maximize their margins," said Alon Aginsky, President and CEO of cVidya Networks. "Oracle Exastack enables our solutions to deliver the power, infrastructure, and innovation required to transform our customers' business operations and stay ahead of the game." Supporting Resources Oracle PartnerNetwork (OPN) Oracle Exastack Oracle Exastack Datasheet Judson Althoff blog Connect with the Oracle Partner community at OPN on Facebook, OPN on LinkedIn, OPN on YouTube, or OPN on Twitter

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  • Lessons from a SAN Failure

    - by Bill Graziano
    At 1:10AM Sunday morning the main SAN at one of my clients suffered a “partial” failure.  Partial means that the SAN was still online and functioning but the LUNs attached to our two main SQL Servers “failed”.  Failed means that SQL Server wouldn’t start and the MDF and LDF files mostly showed a zero file size.  But they were online and responding and most other LUNs were available.  I’m not sure how SANs know to fail at 1AM on a Saturday night but they seem to.  From a personal standpoint this worked out poorly: I was out with friends and after more than a few drinks.  From a work standpoint this was about the best time to fail you could imagine.  Everything was running well before Monday morning.  But it was a long, long Sunday.  I started tipsy, got tired and ended up hung over later in the day. Note to self: Try not to go out drinking right before the SAN fails. This caught us at an interesting time.  We’re in the process of migrating to an entirely new set of servers so some things were partially moved.  This made it difficult to follow our procedures as cleanly as we’d like.  The benefit was that we had much better documentation of everything on the server.  I would encourage everyone to really think through the process of implementing your DR plan and document as much as possible.  Following a checklist is much easier than trying to remember at night under pressure in a hurry after a few drinks. I had a series of estimates on how long things would take.  They were accurate for any single server failure.  They weren’t accurate for a SAN failure that took two servers down.  This wasn’t bad but we should have communicated better. Don’t forget how many things are outside the database.  Logins, linked servers, DTS packages (yikes!), jobs, service broker, DTC (especially DTC), database triggers and any objects in the master database are all things you need backed up.  We’d done a decent job on this and didn’t find significant problems here.  That said this still took a lot of time.  There were many annoyances as a result of this.  Small settings like a login’s default database had a big impact on whether an application could run.  This is probably the single biggest area of concern when looking to recreate a server.  I’d encourage everyone to go through every single node of SSMS and look for user created objects or settings outside the database. Script out your logins with the proper SID and already encrypted passwords and keep it updated.  This makes life so much easier.  I used an approach based on KB246133 that worked well.  I’ll get my scripts posted over the next few days. The disaster can cause your DR process to fail in unexpected ways.  We have a job that scripts out all logins and role memberships and writes it to a file.  This runs on the DR server and pulls from the production server.  Upon opening the file I found that the contents were a “server not found” error.  Fortunately we had other copies and didn’t need to try and restore the master database.  This now runs on the production server and pushes the script to the DR site.  Soon we’ll get it pushed to our version control software. One of the biggest challenges is keeping your DR resources up to date.  Any server change (new linked server, new SQL Server Agent job, etc.) means that your DR plan (and scripts) is out of date.  It helps to automate the generation of these resources if possible. Take time now to test your database restore process.  We test ours quarterly.  If you have a large database I’d also encourage you to invest in a compressed backup solution.  Restoring backups was the single larger consumer of time during our recovery. And yes, there’s a database mirroring solution planned in our new architecture. I didn’t have much involvement in things outside SQL Server but this caused many, many things to change in our environment.  Many applications today aren’t just executables or web sites.  They are a combination of those plus network infrastructure, reports, network ports, IP addresses, DTS and SSIS packages, batch systems and many other things.  These all needed a little bit of attention to make sure they were functioning properly. Profiler turned out to be a handy tool.  I started a trace for failed logins and kept that running.  That let me fix a number of problems before people were able to report them.  I also ran traces to capture exceptions.  This helped identify problems with linked servers. Overall the thing that gave me the most problem was linked servers.  In order for a linked server to function properly you need to be pointed to the right server, have the proper login information, have the network routes available and have MSDTC configured properly.  We have a lot of linked servers and this created many failure points.  Some of the older linked servers used IP addresses and not DNS names.  This meant we had to go in and touch all those linked servers when the servers moved.

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  • SQL SERVER – SSMS: Backup and Restore Events Report

    - by Pinal Dave
    A DBA wears multiple hats and in fact does more than what an eye can see. One of the core task of a DBA is to take backups. This looks so trivial that most developers shrug this off as the only activity a DBA might be doing. I have huge respect for DBA’s all around the world because even if they seem cool with all the scripting, automation, maintenance works round the clock to keep the business working almost 365 days 24×7, their worth is knowing that one day when the systems / HDD crashes and you have an important delivery to make. So these backup tasks / maintenance jobs that have been done come handy and are no more trivial as they might seem to be as considered by many. So the important question like: “When was the last backup taken?”, “How much time did the last backup take?”, “What type of backup was taken last?” etc are tricky questions and this report lands answers to the same in a jiffy. So the SSMS report, we are talking can be used to find backups and restore operation done for the selected database. Whenever we perform any backup or restore operation, the information is stored in the msdb database. This report can utilize that information and provide information about the size, time taken and also the file location for those operations. Here is how this report can be launched.   Once we launch this report, we can see 4 major sections shown as listed below. Average Time Taken For Backup Operations Successful Backup Operations Backup Operation Errors Successful Restore Operations Let us look at each section next. Average Time Taken For Backup Operations Information shown in “Average Time Taken For Backup Operations” section is taken from a backupset table in the msdb database. Here is the query and the expanded version of that particular section USE msdb; SELECT (ROW_NUMBER() OVER (ORDER BY t1.TYPE))%2 AS l1 ,       1 AS l2 ,       1 AS l3 ,       t1.TYPE AS [type] ,       (AVG(DATEDIFF(ss,backup_start_date, backup_finish_date)))/60.0 AS AverageBackupDuration FROM backupset t1 INNER JOIN sys.databases t3 ON ( t1.database_name = t3.name) WHERE t3.name = N'AdventureWorks2014' GROUP BY t1.TYPE ORDER BY t1.TYPE On my small database the time taken for differential backup was less than a minute, hence the value of zero is displayed. This is an important piece of backup operation which might help you in planning maintenance windows. Successful Backup Operations Here is the expanded version of this section.   This information is derived from various backup tracking tables from msdb database.  Here is the simplified version of the query which can be used separately as well. SELECT * FROM sys.databases t1 INNER JOIN backupset t3 ON (t3.database_name = t1.name) LEFT OUTER JOIN backupmediaset t5 ON ( t3.media_set_id = t5.media_set_id) LEFT OUTER JOIN backupmediafamily t6 ON ( t6.media_set_id = t5.media_set_id) WHERE (t1.name = N'AdventureWorks2014') ORDER BY backup_start_date DESC,t3.backup_set_id,t6.physical_device_name; The report does some calculations to show the data in a more readable format. For example, the backup size is shown in KB, MB or GB. I have expanded first row by clicking on (+) on “Device type” column. That has shown me the path of the physical backup file. Personally looking at this section, the Backup Size, Device Type and Backup Name are critical and are worth a note. As mentioned in the previous section, this section also has the Duration embedded inside it. Backup Operation Errors This section of the report gets data from default trace. You might wonder how. One of the event which is tracked by default trace is “ErrorLog”. This means that whatever message is written to errorlog gets written to default trace file as well. Interestingly, whenever there is a backup failure, an error message is written to ERRORLOG and hence default trace. This section takes advantage of that and shows the information. We can read below message under this section, which confirms above logic. No backup operations errors occurred for (AdventureWorks2014) database in the recent past or default trace is not enabled. Successful Restore Operations This section may not be very useful in production server (do you perform a restore of database?) but might be useful in the development and log shipping secondary environment, where we might be interested to see restore operations for a particular database. Here is the expanded version of the section. To fill this section of the report, I have restored the same backups which were taken to populate earlier sections. Here is the simplified version of the query used to populate this output. USE msdb; SELECT * FROM restorehistory t1 LEFT OUTER JOIN restorefile t2 ON ( t1.restore_history_id = t2.restore_history_id) LEFT OUTER JOIN backupset t3 ON ( t1.backup_set_id = t3.backup_set_id) WHERE t1.destination_database_name = N'AdventureWorks2014' ORDER BY restore_date DESC,  t1.restore_history_id,t2.destination_phys_name Have you ever looked at the backup strategy of your key databases? Are they in sync and do we have scope for improvements? Then this is the report to analyze after a week or month of maintenance plans running in your database. Do chime in with what are the strategies you are using in your environments. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL Tagged: SQL Reports

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  • JPA - insert and retrieve clob and blob types

    - by pachunoori.vinay.kumar(at)oracle.com
    This article describes about the JPA feature for handling clob and blob data types.You will learn the following in this article. @Lob annotation Client code to insert and retrieve the clob/blob types End to End ADFaces application to retrieve the image from database table and display it in web page. Use Case Description Persisting and reading the image from database using JPA clob/blob type. @Lob annotation By default, TopLink JPA assumes that all persistent data can be represented as typical database data types. Use the @Lob annotation with a basic mapping to specify that a persistent property or field should be persisted as a large object to a database-supported large object type. A Lob may be either a binary or character type. TopLink JPA infers the Lob type from the type of the persistent field or property. For string and character-based types, the default is Clob. In all other cases, the default is Blob. Example Below code shows how to use this annotation to specify that persistent field picture should be persisted as a Blob. public class Person implements Serializable {    @Id    @Column(nullable = false, length = 20)    private String name;    @Column(nullable = false)    @Lob    private byte[] picture;    @Column(nullable = false, length = 20) } Client code to insert and retrieve the clob/blob types Reading a image file and inserting to Database table Below client code will read the image from a file and persist to Person table in database.                       Person p=new Person();                      p.setName("Tom");                      p.setSex("male");                      p.setPicture(writtingImage("Image location"));// - c:\images\test.jpg                       sessionEJB.persistPerson(p); //Retrieving the image from Database table and writing to a file                       List<Person> plist=sessionEJB.getPersonFindAll();//                      Person person=(Person)plist.get(0);//get a person object                      retrieveImage(person.getPicture());   //get picture retrieved from Table //Private method to create byte[] from image file  private static byte[] writtingImage(String fileLocation) {      System.out.println("file lication is"+fileLocation);     IOManager manager=new IOManager();        try {           return manager.getBytesFromFile(fileLocation);                    } catch (IOException e) {        }        return null;    } //Private method to read byte[] from database and write to a image file    private static void retrieveImage(byte[] b) {    IOManager manager=new IOManager();        try {            manager.putBytesInFile("c:\\webtest.jpg",b);        } catch (IOException e) {        }    } End to End ADFaces application to retrieve the image from database table and display it in web page. Please find the application in this link. Following are the j2ee components used in the sample application. ADFFaces(jspx page) HttpServlet Class - Will make a call to EJB and retrieve the person object from person table.Read the byte[] and write to response using Outputstream. SessionEJBBean - This is a session facade to make a local call to JPA entities JPA Entity(Person.java) - Person java class with setter and getter method annotated with @Lob representing the clob/blob types for picture field.

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  • How to install Sweetcron on XAMPP

    - by Sushaantu
    This tutorial will take you to the installation steps required to install Sweetcron in the XAMPP. I am taking the liberty to assume that you have already installed XAMPP. I First of all download sweetcron and copy the extracted “sweetcron” folder inside the htdocs folder in the XAMPP directory. You have to get few things in place before installing sweetcron: 1. Create a sweetcron database using Mysql. You can just put a name “sweetcron” and leave all the other settings such as Mysql connection collation as it is. Now that you have the database ready you can configure few settings before making sweetcron to work on XAMPP. 2. Open the config-sample PHP file with your text editor (something like Notepad++ or Komodo Edit is recommended) which is located in Sweetcron/system/application/config. You have to make few changes in it. a. In the first settings you have to edit the value of $config ['base_url']. The default value is             “http://www.your-site.com”; and you have to change that into “http://localhost/sweetcron/”; b. You also have to change the deafult settings of $config ['uri_protocol']. The value that you will see is “REQUEST_URI”; but you need to change that into “AUTO”; c. Now that we have made all the changes you can rename the file from config_sample to just config. 3. Open the database-sample.php in the text editor. You need to make the edits regarding the databse in here. a. The values of the databse at the moment are like this: $db['default']['hostname'] = “localhost”; $db['default']['username'] = “”; $db['default']['password'] = “”; $db['default']['database'] = “”; $db['default']['dbdriver'] = “mysql”; $db['default']['dbprefix'] = “”; $db['default']['pconnect'] = TRUE; $db['default']['db_debug'] = TRUE; $db['default']['cache_on'] = FALSE; $db['default']['cachedir'] = “”; $db['default']['char_set'] = “utf8″; $db['default']['dbcollat'] = “utf8_general_ci”; You have to change that into $db['default']['hostname'] = “localhost”; $db['default']['username'] = “root”; $db['default']['password'] = “”; $db['default']['database'] = “sweetcron”; $db['default']['dbdriver'] = “mysql”; $db['default']['dbprefix'] = “”; $db['default']['pconnect'] = TRUE; $db['default']['db_debug'] = TRUE; $db['default']['cache_on'] = FALSE; $db['default']['cachedir'] = “”; $db['default']['char_set'] = “utf8″; $db['default']['dbcollat'] = “utf8_general_ci”; We have written the username as root along with the name of database (sweetcron in my case). Since I was not using any password in xampp for the sweetcron database so I have left the password option empty. You can make suitable changes according to your system. Write down your password in the third line if you are using one in xampp. b. Now that we have made all the edits we can change the file name from database-sample to just database. 4. That leaves us with only one setting and that is editing values in the .htaccess file with our text editor. The default values you will have in the .htaccess file are: Options +FollowSymLinks RewriteEngine On RewriteBase / RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteRule ^(.*)$ index.php?/$1 [L] and you just have to add “sweetcron” after Rewritebase in the third line. Options +FollowSymLinks RewriteEngine On RewriteBase /sweetcron RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteRule ^(.*)$ index.php?/$1 [L] 5. Now you are all set and done. You can access sweetcron in the localhost by going to http://localhost/sweetcron/ you will see some text on the top which would prompt you to click on one script. Click that script and behold, you have your sweetcrom installation on xampp ready. Further it will ask you to add deatils such as Lifestream name, username and email address. Fill those deatils and you will reach the admin panel.

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  • Deploying Data Mining Models using Model Export and Import, Part 2

    - by [email protected]
    In my last post, Deploying Data Mining Models using Model Export and Import, we explored using DBMS_DATA_MINING.EXPORT_MODEL and DBMS_DATA_MINING.IMPORT_MODEL to enable moving a model from one system to another. In this post, we'll look at two distributed scenarios that make use of this capability and a tip for easily moving models from one machine to another using only Oracle Database, not an external file transport mechanism, such as FTP. The first scenario, consider a company with geographically distributed business units, each collecting and managing their data locally for the products they sell. Each business unit has in-house data analysts that build models to predict which products to recommend to customers in their space. A central telemarketing business unit also uses these models to score new customers locally using data collected over the phone. Since the models recommend different products, each customer is scored using each model. This is depicted in Figure 1.Figure 1: Target instance importing multiple remote models for local scoring In the second scenario, consider multiple hospitals that collect data on patients with certain types of cancer. The data collection is standardized, so each hospital collects the same patient demographic and other health / tumor data, along with the clinical diagnosis. Instead of each hospital building it's own models, the data is pooled at a central data analysis lab where a predictive model is built. Once completed, the model is distributed to hospitals, clinics, and doctor offices who can score patient data locally.Figure 2: Multiple target instances importing the same model from a source instance for local scoring Since this blog focuses on model export and import, we'll only discuss what is necessary to move a model from one database to another. Here, we use the package DBMS_FILE_TRANSFER, which can move files between Oracle databases. The script is fairly straightforward, but requires setting up a database link and directory objects. We saw how to create directory objects in the previous post. To create a database link to the source database from the target, we can use, for example: create database link SOURCE1_LINK connect to <schema> identified by <password> using 'SOURCE1'; Note that 'SOURCE1' refers to the service name of the remote database entry in your tnsnames.ora file. From SQL*Plus, first connect to the remote database and export the model. Note that the model_file_name does not include the .dmp extension. This is because export_model appends "01" to this name.  Next, connect to the local database and invoke DBMS_FILE_TRANSFER.GET_FILE and import the model. Note that "01" is eliminated in the target system file name.  connect <source_schema>/<password>@SOURCE1_LINK; BEGIN  DBMS_DATA_MINING.EXPORT_MODEL ('EXPORT_FILE_NAME' || '.dmp',                                 'MY_SOURCE_DIR_OBJECT',                                 'name =''MY_MINING_MODEL'''); END; connect <target_schema>/<password>; BEGIN  DBMS_FILE_TRANSFER.GET_FILE ('MY_SOURCE_DIR_OBJECT',                               'EXPORT_FILE_NAME' || '01.dmp',                               'SOURCE1_LINK',                               'MY_TARGET_DIR_OBJECT',                               'EXPORT_FILE_NAME' || '.dmp' );  DBMS_DATA_MINING.IMPORT_MODEL ('EXPORT_FILE_NAME' || '.dmp',                                 'MY_TARGET_DIR_OBJECT'); END; To clean up afterward, you may want to drop the exported .dmp file at the source and the transferred file at the target. For example, utl_file.fremove('&directory_name', '&model_file_name' || '.dmp');

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  • Oracle GoldenGate 12c - Leading Enterprise Replication

    - by Doug Reid
    Oracle GoldenGate 12c released  on October 17th and includes several new cutting edge features that firmly establishes GoldenGate's leader position in the data replication space.   In fact, this release more than doubles the performance of data delivery, supports Oracle's new multitenant database feature,  it's more secure, has more options for high availability, and has made great strides to simplify the configuration and deployment of the product.     Read through the press release if you haven't already and do not miss the quote from Cern's Eva Dafonte Perez, regarding Oracle GoldenGate 12c "….performs five times faster compared to previous GoldenGate versions and simplifies the management of a multi-tier environment" There are a variety of new and improved features in the Oracle GoldenGate 12c.  Here are the highlights: Optimized for Oracle Database 12c -  GoldenGate 12c is custom tailored to the unique capabilities of Oracle database 12c and out of the box GoldenGate 12c supports multitenant (pluggable database (PDB)) and non-consolidated deployments of Oracle Database 12c.   The naming convention used by database 12c is now in three parts (PDB-name, schema-name, and object name).  We have made changes to the GoldenGate capture process to support the new naming convention and streamlined the whole process so a single GoldenGate capture process is being used at the container level rather than at each individual PDB.  By having the capture process at the container level resource usage and the number of processes are reduced. To view a conceptual architecture diagram click here. Integrated Delivery for the Oracle Database - Leveraging a lightweight streaming API built exclusively for Oracle GoldenGate 12c, this process distributes load, auto tunes the degree of parallelism, scales better, and delivers blinding rates of changed data delivery to the Oracle database.  One of the goals for Oracle GoldenGate 12c was to reduce IT costs by simplifying the configuration and reduce the time to manage complex infrastructures.  In previous versions of Oracle GoldenGate, customers would split transaction loads by grouping tables into multiple different delivery processes (click here to view the previous method). Each delivery process executed independently and without any interaction or knowledge of other delivery processes.  This setup was complicated to configure and time consuming as the developer needed in-depth knowledge of the source and target schemas and the transaction profile. With GoldenGate 12c and Integrated Delivery we have made it easier to configure and faster to deploy.  To view a conceptual architecture diagram of integrated delivery click here Coordinated Delivery for Non-Oracle Databases - Coordinated Delivery orchestrates high-speed apply processes and simplifies the configuration of GoldenGate for non-Oracle targets. In Oracle GoldenGate 12c a single delivery process is used with multiple threads (click here) and key events, such as primary key updates, event markers, DDL, etc, are coordinated between the various threads to insure that the transactions are applied in the same sequence as they were captured, all while delivery improved performance.  Replication Between On-Premises and Cloud-Based systems. - The trend for business to utilize both on-premises and cloud-based systems is rising and businesses need to replicate data back and forth.   GoldenGate 12c can be configured in a variety of ways to provide real-time replication when unrestricted or restricted (limited ports or HTTP tunneling) networks are between on-premises and cloud-based systems.    Expanded Heterogeneity - It wouldn't be a GoldenGate release without new and improved platform support.   Release 1 includes support for MySQL 5.6 and Sybase 15.7.   Upcoming in the next release GoldenGate, support will be expanded for MS SQL Server, DB2, and Teradata. Tighter Security - Oracle GoldenGate 12c is integrated with the Oracle wallet to shield usernames and passwords using strong encryption and aliases.   Customers accustomed to using the Oracle Wallet with other Oracle products will instantly be familiar with how to use this great new feature Expanded Oracle Application and Technology Support -   GoldenGate can be used along with Oracle Coherence to enable real-time changed data feeds to the Coherence cache using Toplink and the Oracle GoldenGate JMS adapter.     Plus,  Oracle Advanced Customer Services (ACS) now offers a low downtime E-Business Suite platform and database migrations using GoldenGate as the enabling technology.  Keep tuned for more blogs on the new features and the upcoming launch webcast where we will go into these new features in more detail.   In the mean time make sure to read through our white paper "Oracle GoldenGate 12c Release 1 New Features Overview"

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  • Wicket, Spring and Hibernate - Testing with Unitils - Error: Table not found in statement [select re

    - by John
    Hi there. I've been following a tutorial and a sample application, namely 5 Days of Wicket - Writing the tests: http://www.mysticcoders.com/blog/2009/03/10/5-days-of-wicket-writing-the-tests/ I've set up my own little project with a simple shoutbox that saves messages to a database. I then wanted to set up a couple of tests that would make sure that if a message is stored in the database, the retrieved object would contain the exact same data. Upon running mvn test all my tests fail. The exception has been pasted in the first code box underneath. I've noticed that even though my unitils.properties says to use the 'hdqldb'-dialect, this message is still output in the console window when starting the tests: INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect. I've added the entire dump from the console as well at the bottom of this post (which goes on for miles and miles :-)). Upon running mvn test all my tests fail, and the exception is: Caused by: java.sql.SQLException: Table not found in statement [select relname from pg_class] at org.hsqldb.jdbc.Util.sqlException(Unknown Source) at org.hsqldb.jdbc.jdbcStatement.fetchResult(Unknown Source) at org.hsqldb.jdbc.jdbcStatement.executeQuery(Unknown Source) at org.apache.commons.dbcp.DelegatingStatement.executeQuery(DelegatingStatement.java:188) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.initSequences(DatabaseMetadata.java:151) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.(DatabaseMetadata.java:69) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.(DatabaseMetadata.java:62) at org.springframework.orm.hibernate3.LocalSessionFactoryBean$3.doInHibernate(LocalSessionFactoryBean.java:958) at org.springframework.orm.hibernate3.HibernateTemplate.doExecute(HibernateTemplate.java:419) ... 49 more I've set up my unitils.properties file like so: database.driverClassName=org.hsqldb.jdbcDriver database.url=jdbc:hsqldb:mem:PUBLIC database.userName=sa database.password= database.dialect=hsqldb database.schemaNames=PUBLIC My abstract IntegrationTest class: @SpringApplicationContext({"/com/upbeat/shoutbox/spring/applicationContext.xml", "applicationContext-test.xml"}) public abstract class AbstractIntegrationTest extends UnitilsJUnit4 { private ApplicationContext applicationContext; } applicationContext-test.xml: <?xml version="1.0" encoding="UTF-8"? <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd" <bean id="dataSource" class="org.unitils.database.UnitilsDataSourceFactoryBean"/ </beans and finally, one of the test classes: package com.upbeat.shoutbox.web; import org.apache.wicket.spring.injection.annot.test.AnnotApplicationContextMock; import org.apache.wicket.util.tester.WicketTester; import org.junit.Before; import org.junit.Test; import org.unitils.spring.annotation.SpringBeanByType; import com.upbeat.shoutbox.HomePage; import com.upbeat.shoutbox.integrations.AbstractIntegrationTest; import com.upbeat.shoutbox.persistence.ShoutItemDao; import com.upbeat.shoutbox.services.ShoutService; public class TestHomePage extends AbstractIntegrationTest { @SpringBeanByType private ShoutService svc; @SpringBeanByType private ShoutItemDao dao; protected WicketTester tester; @Before public void setUp() { AnnotApplicationContextMock appctx = new AnnotApplicationContextMock(); appctx.putBean("shoutItemDao", dao); appctx.putBean("shoutService", svc); tester = new WicketTester(); } @Test public void testRenderMyPage() { //start and render the test page tester.startPage(HomePage.class); //assert rendered page class tester.assertRenderedPage(HomePage.class); //assert rendered label component tester.assertLabel("message", "If you see this message wicket is properly configured and running"); } } Dump from console when running mvn test: [INFO] Scanning for projects... [INFO] ------------------------------------------------------------------------ [INFO] Building shoutbox [INFO] task-segment: [test] [INFO] ------------------------------------------------------------------------ [INFO] [resources:resources {execution: default-resources}] [WARNING] File encoding has not been set, using platform encoding Cp1252, i.e. build is platform dependent! [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 3 resources [INFO] Copying 4 resources [INFO] [compiler:compile {execution: default-compile}] [INFO] Nothing to compile - all classes are up to date [INFO] [resources:testResources {execution: default-testResources}] [WARNING] File encoding has not been set, using platform encoding Cp1252, i.e. build is platform dependent! [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 2 resources [INFO] [compiler:testCompile {execution: default-testCompile}] [INFO] Nothing to compile - all classes are up to date [INFO] [surefire:test {execution: default-test}] [INFO] Surefire report directory: F:\Projects\shoutbox\target\surefire-reports INFO - ConfigurationLoader - Loaded main configuration file unitils-default.properties from classpath. INFO - ConfigurationLoader - Loaded custom configuration file unitils.properties from classpath. INFO - ConfigurationLoader - No local configuration file unitils-local.properties found. ------------------------------------------------------- T E S T S ------------------------------------------------------- Running com.upbeat.shoutbox.web.TestViewShoutsPage Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.02 sec INFO - Version - Hibernate Annotations 3.4.0.GA INFO - Environment - Hibernate 3.3.0.SP1 INFO - Environment - hibernate.properties not found INFO - Environment - Bytecode provider name : javassist INFO - Environment - using JDK 1.4 java.sql.Timestamp handling INFO - Version - Hibernate Commons Annotations 3.1.0.GA INFO - AnnotationBinder - Binding entity from annotated class: com.upbeat.shoutbox.models.ShoutItem INFO - QueryBinder - Binding Named query: item.getById = from ShoutItem item where item.id = :id INFO - QueryBinder - Binding Named query: item.find = from ShoutItem item order by item.timestamp desc INFO - QueryBinder - Binding Named query: item.count = select count(item) from ShoutItem item INFO - EntityBinder - Bind entity com.upbeat.shoutbox.models.ShoutItem on table SHOUT_ITEMS INFO - AnnotationConfiguration - Hibernate Validator not found: ignoring INFO - notationSessionFactoryBean - Building new Hibernate SessionFactory INFO - earchEventListenerRegister - Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. INFO - ConnectionProviderFactory - Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider INFO - SettingsFactory - RDBMS: HSQL Database Engine, version: 1.8.0 INFO - SettingsFactory - JDBC driver: HSQL Database Engine Driver, version: 1.8.0 INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - TransactionFactoryFactory - Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory INFO - actionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) INFO - SettingsFactory - Automatic flush during beforeCompletion(): disabled INFO - SettingsFactory - Automatic session close at end of transaction: disabled INFO - SettingsFactory - JDBC batch size: 1000 INFO - SettingsFactory - JDBC batch updates for versioned data: disabled INFO - SettingsFactory - Scrollable result sets: enabled INFO - SettingsFactory - JDBC3 getGeneratedKeys(): disabled INFO - SettingsFactory - Connection release mode: auto INFO - SettingsFactory - Default batch fetch size: 1 INFO - SettingsFactory - Generate SQL with comments: disabled INFO - SettingsFactory - Order SQL updates by primary key: disabled INFO - SettingsFactory - Order SQL inserts for batching: disabled INFO - SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory INFO - ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory INFO - SettingsFactory - Query language substitutions: {} INFO - SettingsFactory - JPA-QL strict compliance: disabled INFO - SettingsFactory - Second-level cache: enabled INFO - SettingsFactory - Query cache: enabled INFO - SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge INFO - FactoryCacheProviderBridge - Cache provider: org.hibernate.cache.HashtableCacheProvider INFO - SettingsFactory - Optimize cache for minimal puts: disabled INFO - SettingsFactory - Structured second-level cache entries: disabled INFO - SettingsFactory - Query cache factory: org.hibernate.cache.StandardQueryCacheFactory INFO - SettingsFactory - Echoing all SQL to stdout INFO - SettingsFactory - Statistics: disabled INFO - SettingsFactory - Deleted entity synthetic identifier rollback: disabled INFO - SettingsFactory - Default entity-mode: pojo INFO - SettingsFactory - Named query checking : enabled INFO - SessionFactoryImpl - building session factory INFO - essionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured INFO - UpdateTimestampsCache - starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache INFO - StandardQueryCache - starting query cache at region: org.hibernate.cache.StandardQueryCache INFO - notationSessionFactoryBean - Updating database schema for Hibernate SessionFactory INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [org/springframework/jdbc/support/sql-error-codes.xml] INFO - SQLErrorCodesFactory - SQLErrorCodes loaded: [DB2, Derby, H2, HSQL, Informix, MS-SQL, MySQL, Oracle, PostgreSQL, Sybase] INFO - DefaultListableBeanFactory - Destroying singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@3e0ebb: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy INFO - sPathXmlApplicationContext - Refreshing org.springframework.context.support.ClassPathXmlApplicationContext@a8e586: display name [org.springframework.context.support.ClassPathXmlApplicationContext@a8e586]; startup date [Tue May 04 18:19:58 CEST 2010]; root of context hierarchy INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [com/upbeat/shoutbox/spring/applicationContext.xml] INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [applicationContext-test.xml] INFO - DefaultListableBeanFactory - Overriding bean definition for bean 'dataSource': replacing [Generic bean: class [org.apache.commons.dbcp.BasicDataSource]; scope=singleton; abstract=false; lazyInit=false; autowireMode=0; dependencyCheck=0; autowireCandidate=true; primary=false; factoryBeanName=null; factoryMethodName=null; initMethodName=null; destroyMethodName=close; defined in class path resource [com/upbeat/shoutbox/spring/applicationContext.xml]] with [Generic bean: class [org.unitils.database.UnitilsDataSourceFactoryBean]; scope=singleton; abstract=false; lazyInit=false; autowireMode=0; dependencyCheck=0; autowireCandidate=true; primary=false; factoryBeanName=null; factoryMethodName=null; initMethodName=null; destroyMethodName=null; defined in class path resource [applicationContext-test.xml]] INFO - sPathXmlApplicationContext - Bean factory for application context [org.springframework.context.support.ClassPathXmlApplicationContext@a8e586]: org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1 INFO - pertyPlaceholderConfigurer - Loading properties file from class path resource [application.properties] INFO - DefaultListableBeanFactory - Pre-instantiating singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy INFO - AnnotationBinder - Binding entity from annotated class: com.upbeat.shoutbox.models.ShoutItem INFO - QueryBinder - Binding Named query: item.getById = from ShoutItem item where item.id = :id INFO - QueryBinder - Binding Named query: item.find = from ShoutItem item order by item.timestamp desc INFO - QueryBinder - Binding Named query: item.count = select count(item) from ShoutItem item INFO - EntityBinder - Bind entity com.upbeat.shoutbox.models.ShoutItem on table SHOUT_ITEMS INFO - AnnotationConfiguration - Hibernate Validator not found: ignoring INFO - notationSessionFactoryBean - Building new Hibernate SessionFactory INFO - earchEventListenerRegister - Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. INFO - ConnectionProviderFactory - Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider INFO - SettingsFactory - RDBMS: HSQL Database Engine, version: 1.8.0 INFO - SettingsFactory - JDBC driver: HSQL Database Engine Driver, version: 1.8.0 INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - TransactionFactoryFactory - Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory INFO - actionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) INFO - SettingsFactory - Automatic flush during beforeCompletion(): disabled INFO - SettingsFactory - Automatic session close at end of transaction: disabled INFO - SettingsFactory - JDBC batch size: 1000 INFO - SettingsFactory - JDBC batch updates for versioned data: disabled INFO - SettingsFactory - Scrollable result sets: enabled INFO - SettingsFactory - JDBC3 getGeneratedKeys(): disabled INFO - SettingsFactory - Connection release mode: auto INFO - SettingsFactory - Default batch fetch size: 1 INFO - SettingsFactory - Generate SQL with comments: disabled INFO - SettingsFactory - Order SQL updates by primary key: disabled INFO - SettingsFactory - Order SQL inserts for batching: disabled INFO - SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory INFO - ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory INFO - SettingsFactory - Query language substitutions: {} INFO - SettingsFactory - JPA-QL strict compliance: disabled INFO - SettingsFactory - Second-level cache: enabled INFO - SettingsFactory - Query cache: enabled INFO - SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge INFO - FactoryCacheProviderBridge - Cache provider: org.hibernate.cache.HashtableCacheProvider INFO - SettingsFactory - Optimize cache for minimal puts: disabled INFO - SettingsFactory - Structured second-level cache entries: disabled INFO - SettingsFactory - Query cache factory: org.hibernate.cache.StandardQueryCacheFactory INFO - SettingsFactory - Echoing all SQL to stdout INFO - SettingsFactory - Statistics: disabled INFO - SettingsFactory - Deleted entity synthetic identifier rollback: disabled INFO - SettingsFactory - Default entity-mode: pojo INFO - SettingsFactory - Named query checking : enabled INFO - SessionFactoryImpl - building session factory INFO - essionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured INFO - UpdateTimestampsCache - starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache INFO - StandardQueryCache - starting query cache at region: org.hibernate.cache.StandardQueryCache INFO - notationSessionFactoryBean - Updating database schema for Hibernate SessionFactory INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - DefaultListableBeanFactory - Destroying singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 1.34 sec <<< FAILURE! Running com.upbeat.shoutbox.integrations.ShoutItemIntegrationTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0 sec <<< FAILURE! Running com.upbeat.shoutbox.mocks.ShoutServiceTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.01 sec <<< FAILURE! Results : Tests in error: initializationError(com.upbeat.shoutbox.web.TestViewShoutsPage) testRenderMyPage(com.upbeat.shoutbox.web.TestHomePage) initializationError(com.upbeat.shoutbox.integrations.ShoutItemIntegrationTest) initializationError(com.upbeat.shoutbox.mocks.ShoutServiceTest) Tests run: 4, Failures: 0, Errors: 4, Skipped: 0 [INFO] ------------------------------------------------------------------------ [ERROR] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] There are test failures. Please refer to F:\Projects\shoutbox\target\surefire-reports for the individual test results. [INFO] ------------------------------------------------------------------------ [INFO] For more information, run Maven with the -e switch [INFO] ------------------------------------------------------------------------ [INFO] Total time: 3 seconds [INFO] Finished at: Tue May 04 18:19:58 CEST 2010 [INFO] Final Memory: 13M/31M [INFO] ------------------------------------------------------------------------ Any help is greatly appreciated.

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  • Crystal Reports Reportviewer - Set Datasource Dynamically Not Working :argh:

    - by Albert
    I'm running CR XI, and accessing .RPT files through a ReportViewer in my ASP.NET pages. I've already got the following code, which is supposed to set the Report Datasource dynamically. rptSP = New ReportDocument Dim rptPath As String = Request.QueryString("report") rptSP.Load(rptPath.ToString, 0) Dim SConn As New System.Data.SqlClient.SqlConnectionStringBuilder(ConfigurationManager.ConnectionStrings("MyConnectionString").ConnectionString) rptSP.DataSourceConnections(SConn.DataSource, SConn.InitialCatalog).SetConnection(SConn.DataSource, SConn.InitialCatalog, SConn.UserID, SConn.Password) Dim myConnectionInfo As ConnectionInfo = New ConnectionInfo myConnectionInfo.ServerName = SConn.DataSource myConnectionInfo.DatabaseName = SConn.InitialCatalog myConnectionInfo.UserID = SConn.UserID myConnectionInfo.Password = SConn.Password 'Two new methods to loop through all objects and tables contained in the requested report and set 'login credentials for each object and table. SetDBLogonForReport(myConnectionInfo, rptSP) SetDBLogonForSubreports(myConnectionInfo, rptSP) Me.CrystalReportViewer1.ReportSource = rptSP But when I go into each .RPT file, and open up the Database Expert section, there is obviously still servernames hardcoded in there, and the code listed above doesn't seem to be able to change the servernames that are hardcoded there. I say this because I have training and production environments. When the .RPT file is hardcoded with my production server, and I open it on my training server with the code above (and the web.config has the training server in the connection string), I get the ol: Object reference not set to an instance of an object. And then if I go into the .RPT file, and change over the datasource to the training server, and try to open it again, it works fine. Why doesn't the code above overwrite the .RPT files datasource? How can I avoid having to open up each .RPT and change the datasource when migrating reports from server to server? Is there a setting in the .RPT file I'm missing or something?

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  • How to populate Java (web) application with initial data using Spring/JPA/Hibernate

    - by Tuukka Mustonen
    I want to setup my database with initial data programmatically. I want to populate my database for development runs, not for testing runs (it's easy). The product is built on top of Spring and JPA/Hibernate. Developer checks out the project Developer runs command/script to setup database with initial data Developer starts application (server) and begins developing/testing then: Developer runs command/script to flush the database and set it up with new initial data because database structures or the initial data bundle were changed What I want is to setup my environment by required parts in order to call my DAOs and insert new objects into database. I do not want to create initial data sets in raw SQL, XML, take dumps of database or whatever. I want to programmatically create objects and persist them in database as I would in normal application logic. One way to accomplish this would be to start up my application normally and run a special servlet that does the initialization. But is that really the way to go? I would love to execute the initial data setup as Maven task and I don't know how to do that if I take the servlet approach. There is somewhat similar question. I took a quick glance at the suggested DBUnit and Unitils. But they seem to be heavily focused in setting up testing environments, which is not what I want here. DBUnit does initial data population, but only using xml/csv fixtures, which is not what I'm after here. Then, Maven has SQL plugin, but I don't want to handle raw SQL. Maven also has Hibernate plugin, but it seems to help only in Hibernate configuration and table schema creation (not in populating db with data). How to do this?

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  • ProgressDialog not working in external AsyncTask

    - by eric
    I'm beginning to think that to get a ProgressDialog to work the AsyncTask has to be an inner class within an Activity class. True? I have an activity the uses a database to manipulate information. If the database is populated all is well. If it is not populated then I need to download information from a website, populate the database, then access the populated database to complete the Views in onCreate. Problem is without some means to determine when the AsyncTask thread has finished populating the database, I get the following Force Close error message: Sorry! The application has stopped unexpectedly. I click on the Force Close button, the background AsyncTask thread continues to work, the database gets populated, and everything works ok. I need to get rid of that error message and need some help on how to do this. Here's some psuedo code: public class ViewStuff extends Activity { onCreate { if(database is populated) do_stuff else { FillDB task = null; if(task == null || task.getStatus().equals(AsyncTask.Status.FINISHED)) { task = new FillDB(context); task.execute(null); } } continue with onCreate using information from database to properly display } // end onCreate } // end class In a separate file: public class FillDB extends AsyncTask<Void, Void, Void> { private Context context; public FillDB (Context c) //pass the context in the constructor { context = c; } public void filldb () { doInBackground(); } @Override protected void onPreExecute() { ProgressDialog progressDialog = new ProgressDialog(context); //crashes with the following line progressDialog.show(context, "Working..", "Retrieving info"); } @Override protected Void doInBackground(Void... params) { // TODO Auto-generated method stub try etc etc etc } } What am I doing wrong?

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