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  • Issue with dynamic array Queue data structure with void pointer

    - by Nazgulled
    Hi, Maybe there's no way to solve this the way I'd like it but I don't know everything so I better ask... I've implemented a simple Queue with a dynamic array so the user can initialize with whatever number of items it wants. I'm also trying to use a void pointer as to allow any data type, but that's the problem. Here's my code: typedef void * QueueValue; typedef struct sQueueItem { QueueValue value; } QueueItem; typedef struct sQueue { QueueItem *items; int first; int last; int size; int count; } Queue; void queueInitialize(Queue **queue, size_t size) { *queue = xmalloc(sizeof(Queue)); QueueItem *items = xmalloc(sizeof(QueueItem) * size); (*queue)->items = items; (*queue)->first = 0; (*queue)->last = 0; (*queue)->size = size; (*queue)->count = 0; } Bool queuePush(Queue * const queue, QueueValue value, size_t val_sz) { if(isNull(queue) || isFull(queue)) return FALSE; queue->items[queue->last].value = xmalloc(val_sz); memcpy(queue->items[queue->last].value, value, val_sz); queue->last = (queue->last+1) % queue->size; queue->count += 1; return TRUE; } Bool queuePop(Queue * const queue, QueueValue *value) { if(isEmpty(queue)) return FALSE; *value = queue->items[queue->first].value; free(queue->items[queue->first].value); queue->first = (queue->first+1) % queue->size; queue->count -= 1; return TRUE; } The problem lies on the queuePop function. When I call it, I lose the value because I free it right away. I can't seem to solve this dilemma. I want my library to be generic and modular. The user should not care about allocating and freeing memory, that's the library's job. How can the user still get the value from queuePop and let the library handle all memory allocs/frees?

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  • Migration Core Data error code 134130

    - by magichero
    I want to do migration with 2 core database. I have read apple developer document. For the first database, I add some attributes (string, integer and date properties) to new version database. And follow all steps, I have done migration successfully with the first once. But the second database, I also add attributes (string, integer, date, transformable and binary-data properties) to new version database. And follow all steps (like the first database) but system return an error (134130). Here is the code: if (persistentStoreCoordinator_) { PMReleaseSafely(persistentStoreCoordinator_); } // Notify NSNotificationCenter *nc = [NSNotificationCenter defaultCenter]; [nc postNotificationName:GCalWillMigrationNotification object:self]; // NSString *sourceStoreType = NSSQLiteStoreType; NSString *dataStorePath = [PMUtility dataStorePathForName:GCalDBWarehousePersistentStoreName]; NSURL *storeURL = [NSURL fileURLWithPath:dataStorePath]; BOOL storeExists = [[NSFileManager defaultManager] fileExistsAtPath:dataStorePath]; // NSError *error = nil; NSDictionary *options = [NSDictionary dictionaryWithObjectsAndKeys: [NSNumber numberWithBool:YES], NSMigratePersistentStoresAutomaticallyOption, [NSNumber numberWithBool:YES], NSInferMappingModelAutomaticallyOption, nil]; persistentStoreCoordinator_ = [[NSPersistentStoreCoordinator alloc] initWithManagedObjectModel:self.managedObjectModel]; [persistentStoreCoordinator_ addPersistentStoreWithType:sourceStoreType configuration:nil URL:storeURL options:options error:&error]; if (error != nil) { abort(); } error is not nil and below is log: Error Domain=NSCocoaErrorDomain Code=134130 "The operation couldn\u2019t be completed. (Cocoa error 134130.)" UserInfo=0x856f790 {URL=file://localhost/Users/greensun/Library/Application%20Support/iPhone%20Simulator/5.0/Applications/D10712DE-D9FE-411A-8182-C4F58C60EC6D/Library/Application%20Support/Promise%20Mail/GCalDBWarehouse.sqlite, metadata={type = immutable dict, count = 7, entries = 2 : {contents = "NSStoreModelVersionIdentifiers"} = {type = immutable, count = 1, values = ( 0 : {contents = ""} )} 4 : {contents = "NSPersistenceFrameworkVersion"} = {value = +386, type = kCFNumberSInt64Type} 6 : {contents = "NSStoreModelVersionHashes"} = {type = immutable dict, count = 2, entries = 0 : {contents = "SyncEvent"} = {length = 32, capacity = 32, bytes = 0xfdae355f55c13fbd0344415fea26c8bb ... 4c1721aadd4122aa} 1 : {contents = "ImportEvent"} = {length = 32, capacity = 32, bytes = 0x7676888f0d7eaff4d1f844343028ce02 ... 040af6cbe8c5fd01} } 7 : {contents = "NSStoreUUID"} = {contents = "51678BAC-CCFB-4D00-AF5C-8FA1BEDA6440"} 8 : {contents = "NSStoreType"} = {contents = "SQLite"} 9 : {contents = "_NSAutoVacuumLevel"} = {contents = "2"} 10 : {contents = "NSStoreModelVersionHashesVersion"} = {value = +3, type = kCFNumberSInt32Type} }, reason=Can't find model for source store} I try a lot of solutions but it does not work. I just add more attributes to 2 new version database, and succeed in migrating once. Thanks for reading and your help.

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  • Multiple views and source list in a Core Data app

    - by Ellie P.
    I'm working on my first major Cocoa app for an undergraduate research project. The application is document-based and uses Core Data. One of the entities is an abstract entity, Page. Page is parent of several types of pages: ie PageWithHeaderAndFooter, PageWithTwoColumns, BasicPage etc. Page has attributes, such as title and author, that all pages have in common. Each specific type of page has a certain number of layout blocks (PageWithHeaderAndFooter has three: header, footer, body. BasicPage has one: body. etc.) Additionally, all Page subclasses define layout-specific implementations of certain methods. The other relevant entity is Style, which defines the visual look of a Page. (Think of Pages as HTML and Style as CSS.) I would like my app to have an iTunes/Mail-like source list with sections. (One section would be Pages, the other would be Styles.) I have a pretty good idea how to do the sectioned source list (this was a great help). However, after hours of headbanging and fruitless googling, here's what I can't figure out: Pages and Styles listed in the source list, and when you select one of them, all of the relevant fields for that object appear at the right (mostly NSTextViews, pop up menus, etc). I laid that out and did all of the bindings in Interface Builder. The problem is, if my source list contains different types of pages, how do I get a different view to display at the right depending on the type of page selected? For example, if a BasicPage is selected, I want just what you see above: the general page stuff and one NSTextView that corresponds to the one field body of BasicPage. But if I select a PageWithHeaderAndFooter, I want to display the general page stuff plus three NSTextViews (one for header, body, and footer.) If I have a Style selected, I want to display various pop up menus, color wells, etc. For the pages at least, we're only talking about one or more NSTextViews, each of which corresponds to a String attribute of the respective entity. How would you do this? Thank you for your help!

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  • Crash in OS X Core Data Utility Tutorial

    - by vinogradov
    I'm trying to follow Apple's Core Data utility Tutorial. It was all going nicely, until... The tutorial uses a custom sub-class of NSManagedObject, called 'Run'. Run.h looks like this: #import <Foundation/Foundation.h> #import <CoreData/CoreData.h> @interface Run : NSManagedObject { NSInteger processID; } @property (retain) NSDate *date; @property (retain) NSDate *primitiveDate; @property NSInteger processID; @end Now, in Run.m we have an accessor method for the processID variable: - (void)setProcessID:(int)newProcessID { [self willChangeValueForKey:@"processID"]; processID = newProcessID; [self didChangeValueForKey:@"processID"]; } In main.m, we use functions to set up a managed object model and context, instantiate an entity called run, and add it to the context. We then get the current NSprocessInfo, in preparation for setting the processID of the run object. NSManagedObjectContext *moc = managedObjectContext(); NSEntityDescription *runEntity = [[mom entitiesByName] objectForKey:@"Run"]; Run *run = [[Run alloc] initWithEntity:runEntity insertIntoManagedObjectContext:moc]; NSProcessInfo *processInfo = [NSProcessInfo processInfo]; Next, we try to call the accessor method defined in Run.m to set the value of processID: [run setProcessID:[processInfo processIdentifier]]; And that's where it's crashing. The object run seems to exist (I can see it in the debugger), so I don't think I'm messaging nil; on the other hand, it doesn't look like the setProcessID: message is actually being received. I'm obviously still learning this stuff (that's what tutorials are for, right?), and I'm probably doing something really stupid. However, any help or suggestions would be gratefully received! ===MORE INFORMATION=== Following up on Jeremy's suggestions: The processID attribute in the model is set up like this: NSAttributeDescription *idAttribute = [[NSAttributeDescription alloc]init]; [idAttribute setName:@"processID"]; [idAttribute setAttributeType:NSInteger32AttributeType]; [idAttribute setOptional:NO]; [idAttribute setDefaultValue:[NSNumber numberWithInteger:-1]]; which seems a little odd; we are defining it as a scalar type, and then giving it an NSNumber object as its default value. In the associated class, Run, processID is defined as an NSInteger. Still, this should be OK - it's all copied directly from the tutorial. It seems to me that the problem is probably in there somewhere. By the way, the getter method for processID is defined like this: - (int)processID { [self willAccessValueForKey:@"processID"]; NSInteger pid = processID; [self didAccessValueForKey:@"processID"]; return pid; } and this method works fine; it accesses and unpacks the default int value of processID (-1). Thanks for the help so far!

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  • Solr Facet Search spring-data-solr

    - by sv1
    I am new to Solr and we are using Spring-data for Solr I have a question may be its too simple but I am unable to comprehend. Basically I need to search on any field but I have a "zip" field as one of the facet fields. I have a Solr repository . (Am not sure if the annotations on the Repository are correct.) public interface MyRepository extends SolrCrudRepository<MyPOJO, String> { @Query(value = "*:*") @Facet(fields={"zip"}) public FacetPage<MyPOJO> findByQueryandAnno(String searchTerm,Pageable page); } In my Service class I am trying to call this methods by Injecting MyRepository like below public class MyService { @Inject MyRepository solrRepo; @Inject SolrTemplate solrTemplate; public FacetPage<MyPOJO> tryFacets(String searchString){ //Here is where I am struggling SimpleFacetQuery query = new SimpleQuery(new SimpleStringCriteria(searchString)); query.setFacetOptions(new FacetOptions("zip")); //Not sure how to get the Pageable object. //But the repository doesnt accept without it. return solrTemplate.queryForPage(query,{Pageable Instance to be passed here}) } From my jUnit I am loading context files needed for Solr and Spring //In jUnit the test method looks like this service.tryFacets("some value"); and it fails with - method not found in the service class at the call to the repository method. *********EDIT**************** As per ChristophStrobl's advice created a copyfield called multivaluedCopyField and the searchString argument works good. But the facet still isnt working...Now my code looks like this. I get the MyPOJO object as response but the facetcount and the faceted values are missing. public interface MyRepository extends SolrCrudRepository<MyPOJO, String> { @Query(value = "*:*") @Facet(fields={"zip"}) public FacetPage<MyPOJO> findByQueryandAnno(String searchTerm,Pageable page); } My service class looks like public class MyService { @Inject MyRepository solrRepo; public FacetPage<MyPOJO> tryFacets(String searchString){ //Here is where I am struggling SimpleFacetQuery query = new SimpleQuery(new SimpleStringCriteria(searchString)).setPageRequest new PageRequest(0,5)); query.setFacetOptions(new FacetOptions("zip")); FacetPage<MyPOJO> facetedPOJO= solrRepo.findByQueryandAnno(searchString,query.getPageRequest()); return facetedPOJO; } My jUnit method call is like service.tryFacets("some value");

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  • SQL SERVER – Attach mdf file without ldf file in Database

    - by pinaldave
    Background Story: One of my friends recently called up and asked me if I had spare time to look at his database and give him a performance tuning advice. Because I had some free time to help him out, I said yes. I asked him to send me the details of his database structure and sample data. He said that since his database is in a very early stage and is small as of the moment, so he told me that he would like me to have a complete database. My response to him was “Sure! In that case, take a backup of the database and send it to me. I will restore it into my computer and play with it.” He did send me his database; however, his method made me write this quick note here. Instead of taking a full backup of the database and sending it to me, he sent me only the .mdf (primary database file). In fact, I asked for a complete backup (I wanted to review file groups, files, as well as few other details).  Upon calling my friend,  I found that he was not available. Now,  he left me with only a .mdf file. As I had some extra time, I decided to checkout his database structure and get back to him regarding the full backup, whenever I can get in touch with him again. Technical Talk: If the database is shutdown gracefully and there was no abrupt shutdown (power outrages, pulling plugs to machines, machine crashes or any other reasons), it is possible (there’s no guarantee) to attach .mdf file only to the server. Please note that there can be many more reasons for a database that is not getting attached or restored. In my case, the database had a clean shutdown and there were no complex issues. I was able to recreate a transaction log file and attached the received .mdf file. There are multiple ways of doing this. I am listing all of them here. Before using any of them, please consult the Domain Expert in your company or industry. Also, never attempt this on live/production server without the presence of a Disaster Recovery expert. USE [master] GO -- Method 1: I use this method EXEC sp_attach_single_file_db @dbname='TestDb', @physname=N'C:\Program Files\Microsoft SQL Server\MSSQL10.MSSQLSERVER\MSSQL\DATA\TestDb.mdf' GO -- Method 2: CREATE DATABASE TestDb ON (FILENAME = N'C:\Program Files\Microsoft SQL Server\MSSQL10.MSSQLSERVER\MSSQL\DATA\TestDb.mdf') FOR ATTACH_REBUILD_LOG GO Method 2: If one or more log files are missing, they are recreated again. There is one more method which I am demonstrating here but I have not used myself before. According to Book Online, it will work only if there is one log file that is missing. If there are more than one log files involved, all of them are required to undergo the same procedure. -- Method 3: CREATE DATABASE TestDb ON ( FILENAME = N'C:\Program Files\Microsoft SQL Server\MSSQL10.MSSQLSERVER\MSSQL\DATA\TestDb.mdf') FOR ATTACH GO Please read the Book Online in depth and consult DR experts before working on the production server. In my case, the above syntax just worked fine as the database was clean when it was detached. Feel free to write your opinions and experiences for it will help the IT community to learn more from your suggestions and skills. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, Readers Question, SQL, SQL Authority, SQL Backup and Restore, SQL Data Storage, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Principles of Big Data By Jules J Berman, O&rsquo;Reilly Media Book Review

    - by Compudicted
    Originally posted on: http://geekswithblogs.net/Compudicted/archive/2013/11/04/principles-of-big-data-by-jules-j-berman-orsquoreilly-media.aspx A fantastic book! Must be part, if not yet, of the fundamentals of the Big Data as a field of science. Highly recommend to those who are into the Big Data practice. Yet, I confess this book is one of my best reads this year and for a number of reasons: The book is full of wisdom, intimate insight, historical facts and real life examples to how Big Data projects get conceived, operate and sadly, yes, sometimes die. But not only that, the book is most importantly is filled with valuable advice, accurate and even overwhelming amount of reference (from the positive side), and the author does not event stop there: there are numerous technical excerpts, links and examples allowing to quickly accomplish many daunting tasks or make you aware of what one needs to perform as a data practitioner (excuse my use of the word practitioner, I just did not find a better substitute to it to trying to reference all who face Big Data). Be aware that Jules Berman’s background is in medicine, naturally, this book discusses this subject a lot as it is very dear to the author’s heart I believe, this does not make this book any less significant however, quite the opposite, I trust if there is an area in science or practice where the biggest benefits can be ripped from Big Data projects it is indeed the medical science, let’s make Cancer history! On a personal note, for me as a database, BI professional it has helped to understand better the motives behind Big Data initiatives, their underwater rivers and high altitude winds that divert or propel them forward. Additionally, I was impressed by the depth and number of mining algorithms covered in it. I must tell this made me very curious and tempting to find out more about these indispensable attributes of Big Data so sure I will be trying stretching my wallet to acquire several books that go more in depth on several most popular of them. My favorite parts of the book, well, all of them actually, but especially chapter 9: Analysis, it is just very close to my heart. But the real reason is it let me see what I do with data from a different angle. And then the next - “Special Considerations”, they are just two logical parts. The writing language is of this book is very acceptable for all levels, I had no technical problem reading it in ebook format on my 8” tablet or a large screen monitor. If I would be asked to say at least something negative I have to state I had a feeling initially that the book’s first part reads like an academic material relaxing the reader as the book progresses forward. I admit I am impressed with Jules’ abilities to use several programming languages and OSS tools, bravo! And I agree, it is not too, too hard to grasp at least the principals of a modern programming language, which seems becomes a defacto knowledge standard item for any modern human being. So grab a copy of this book, read it end to end and make yourself shielded from making mistakes at any stage of your Big Data initiative, by the way this book also helps build better future Big Data projects. Disclaimer: I received a free electronic copy of this book as part of the O'Reilly Blogger Program.

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  • Advantages of SQL Backup Pro

    - by Grant Fritchey
    Getting backups of your databases in place is a fundamental issue for protection of the business. Yes, I said business, not data, not databases, but business. Because of a lack of good, tested, backups, companies have gone completely out of business or suffered traumatic financial loss. That’s just a simple fact (outlined with a few examples here). So you want to get backups right. That’s a big part of why we make Red Gate SQL Backup Pro work the way it does. Yes, you could just use native backups, but you’ll be missing a few advantages that we provide over and above what you get out of the box from Microsoft. Let’s talk about them. Guidance If you’re a hard-core DBA with 20+ years of experience on every version of SQL Server and several other data platforms besides, you may already know what you need in order to get a set of tested backups in place. But, if you’re not, maybe a little help would be a good thing. To set up backups for your servers, we supply a wizard that will step you through the entire process. It will also act to guide you down good paths. For example, if your databases are in Full Recovery, you should set up transaction log backups to run on a regular basis. When you choose a transaction log backup from the Backup Type you’ll see that only those databases that are in Full Recovery will be listed: This makes it very easy to be sure you have a log backup set up for all the databases you should and none of the databases where you won’t be able to. There are other examples of guidance throughout the product. If you have the responsibility of managing backups but very little knowledge or time, we can help you out. Throughout the software you’ll notice little green question marks. You can see two in the screen above and more in each of the screens in other topics below this one. Clicking on these will open a window with additional information about the topic in question which should help to guide you through some of the tougher decisions you may have to make while setting up your backup jobs. Here’s an example: Backup Copies As a part of the wizard you can choose to make a copy of your backup on your network. This process runs as part of the Red Gate SQL Backup engine. It will copy your backup, after completing the backup so it doesn’t cause any additional blocking or resource use within the backup process, to the network location you define. Creating a copy acts as a mechanism of protection for your backups. You can then backup that copy or do other things with it, all without affecting the original backup file. This requires either an additional backup or additional scripting to get it done within the native Microsoft backup engine. Offsite Storage Red Gate offers you the ability to immediately copy your backup to the cloud as a further, off-site, protection of your backups. It’s a service we provide and expose through the Backup wizard. Your backup will complete first, just like with the network backup copy, then an asynchronous process will copy that backup to cloud storage. Again, this is built right into the wizard or even the command line calls to SQL Backup, so it’s part a single process within your system. With native backup you would need to write additional scripts, possibly outside of T-SQL, to make this happen. Before you can use this with your backups you’ll need to do a little setup, but it’s built right into the product to get this done. You’ll be directed to the web site for our hosted storage where you can set up an account. Compression If you have SQL Server 2008 Enterprise, or you’re on SQL Server 2008R2 or greater and you have a Standard or Enterprise license, then you have backup compression. It’s built right in and works well. But, if you need even more compression then you might want to consider Red Gate SQL Backup Pro. We offer four levels of compression within the product. This means you can get a little compression faster, or you can just sacrifice some CPU time and get even more compression. You decide. For just a simple example I backed up AdventureWorks2012 using both methods of compression. The resulting file from native was 53mb. Our file was 33mb. That’s a file that is smaller by 38%, not a small number when we start talking gigabytes. We even provide guidance here to help you determine which level of compression would be right for you and your system: So for this test, if you wanted maximum compression with minimum CPU use you’d probably want to go with Level 2 which gets you almost as much compression as Level 3 but will use fewer resources. And that compression is still better than the native one by 10%. Restore Testing Backups are vital. But, a backup is just a file until you restore it. How do you know that you can restore that backup? Of course, you’ll use CHECKSUM to validate that what was read from disk during the backup process is what gets written to the backup file. You’ll also use VERIFYONLY to check that the backup header and the checksums on the backup file are valid. But, this doesn’t do a complete test of the backup. The only complete test is a restore. So, what you really need is a process that tests your backups. This is something you’ll have to schedule separately from your backups, but we provide a couple of mechanisms to help you out here. First, when you create a backup schedule, all done through our wizard which gives you as much guidance as you get when running backups, you get the option of creating a reminder to create a job to test your restores. You can enable this or disable it as you choose when creating your scheduled backups. Once you’re ready to schedule test restores for your databases, we have a wizard for this as well. After you choose the databases and restores you want to test, all configurable for automation, you get to decide if you’re going to restore to a specified copy or to the original database: If you’re doing your tests on a new server (probably the best choice) you can just overwrite the original database if it’s there. If not, you may want to create a new database each time you test your restores. Another part of validating your backups is ensuring that they can pass consistency checks. So we have DBCC built right into the process. You can even decide how you want DBCC run, which error messages to include, limit or add to the checks being run. With this you could offload some DBCC checks from your production system so that you only run the physical checks on your production box, but run the full check on this backup. That makes backup testing not just a general safety process, but a performance enhancer as well: Finally, assuming the tests pass, you can delete the database, leave it in place, or delete it regardless of the tests passing. All this is automated and scheduled through the SQL Agent job on your servers. Running your databases through this process will ensure that you don’t just have backups, but that you have tested backups. Single Point of Management If you have more than one server to maintain, getting backups setup could be a tedious process. But, with Red Gate SQL Backup Pro you can connect to multiple servers and then manage all your databases and all your servers backups from a single location. You’ll be able to see what is scheduled, what has run successfully and what has failed, all from a single interface without having to connect to different servers. Log Shipping Wizard If you want to set up log shipping as part of a disaster recovery process, it can frequently be a pain to get configured correctly. We supply a wizard that will walk you through every step of the process including setting up alerts so you’ll know should your log shipping fail. Summary You want to get your backups right. As outlined above, Red Gate SQL Backup Pro will absolutely help you there. We supply a number of processes and functionalities above and beyond what you get with SQL Server native. Plus, with our guidance, hints and reminders, you will get your backups set up in a way that protects your business.

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  • No data when attempting to get JSONP data from cross domain PHP script

    - by Alex
    I am trying to pull latitude and longitude values from another server on a different domain using a singe id string. I am not very familiar with JQuery, but it seems to be the easiest way to go about getting around the same origin problem. I am unable to use iframes and I cannot install PHP on the server running this javascript, which is forcing my hand on this. My queries appear to be going through properly, but I am not getting any results back. I was hoping someone here might have an idea that could help, seeing as I probably wouldn't recognize most obvious errors here. My javascript function is: var surl = "http://...omitted.../pull.php"; var idnum = 5a; //in practice this is defined above alert("BEFORE"); $.ajax({ url: surl, data: {id: idnum}, dataType: "jsonp", jsonp : "callback", jsonp: "jsonpcallback", success: function (rdata) { alert(rdata.lat + ", " + rdata.lon); } }); alert("BETWEEN"); function jsonpcallback(rtndata) { alert("CALLED"); alert(rtndata.lat + ", " + rtndata.lon); } alert("AFTER"); When my javascript is run, the BEFORE, BETWEEN and AFTER alerts are displayed. The CALLED and other jsonpcallback alerts are not shown. Is there another way to tell if the jsoncallback function has been called? Below is the PHP code I have running on the second server. I added the count table to my database just so that I can tell when this script is run. Every time I call the javascript, count has had an extra item inserted and the id number is correct. <?php header("content-type: application/json"); if (isset($_GET['id']) || isset($_POST['id'])){ $db_handle = mysql_connect($server, $username, $password); if (!$db_handle) { die('Could not connect: ' . mysql_error()); } $db_found = mysql_select_db($database, $db_handle); if ($db_found) { if (isset($_POST['id'])){ $SQL = sprintf("SELECT * FROM %s WHERE loc_id='%s'", $loctable, mysql_real_escape_string($_POST['id'])); } if (isset($_GET['id'])){ $SQL = sprintf("SELECT * FROM %s WHERE loc_id='%s'", $loctable, mysql_real_escape_string($_GET['id'])); } $result = mysql_query($SQL, $db_handle); $db_field = mysql_fetch_assoc($result); $rtnjsonobj -> lat = $db_field["lat"]; $rtnjsonobj -> lon = $db_field["lon"]; if (isset($_POST['id'])){ echo $_POST['jsonpcallback']. '('. json_encode($rtnjsonobj) . ')'; } if (isset($_GET['id'])){ echo $_GET['jsonpcallback']. '('. json_encode($rtnjsonobj) . ')'; } $SQL = sprintf("INSERT INTO count (bullshit) VALUES ('%s')", $_GET['id']); $result = mysql_query($SQL, $db_handle); $db_field = mysql_fetch_assoc($result); } mysql_close($db_handle); } else { $rtnjsonobj -> lat = 404; $rtnjsonobj -> lon = 404; echo $_GET['jsonpcallback']. '('. json_encode($rtnjsonobj) . ')'; }?> I am not entirely sure if the jsonp returned by this PHP is correct. When I go directly to the PHP script without including any parameters, I do get the following. ({"lat":404,"lon":404}) The callback function is not included, but that much can be expected when it isn't included in the original call. Does anyone have any idea what might be going wrong here? Thanks in advance!

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  • JAVA-SQL- Data Migration - ResultSets comparing Failing JUnit test

    - by user1865053
    I CANNOT get this JUnit Test to pass for the life of me. Can somebody point out where this has gone wrong. I am doing a data migration(MSSQL SERVER 2005), but I have the sourceDBUrl and the targetDCUrl the same URL so to narrow it down to syntax errors. So that is what I have, a syntax error. I am comparing the results of a table for the query SELECT programmeapproval, resourceapproval FROM tr_timesheet WHERE timesheetid = ? and the test always fails, but passes for other junit tests I have developed. I created 3 diffemt resultSetsEqual methods and none work. Yet, some other JUnit tests I have developed have PASSED. THE QUERY: SELECT timesheetid, programmeapproval, resourceapproval FROM tr_timesheet Returns three columns timesheetid (PK,int, not null) (populated with a range of numbers 2240 - 2282) programmeapproval (smallint,not null) (populated with the number 1 in every field) resourceapproval (smallint, not null) (populated with a number 1 in every field) When I run the query that is embedded in the code it only returns one row with the programmeapproval and resourceapproval columns and both field populated with the number 1. I have all jdbc drivers correctly installed and tested for connectivity. The JUnit Test is failing at this point according to the IDE. assertTrue(helper.resultSetsEqual2(sourceVal,targetVal)); This is the code: /*THIS IS A JUNIT CLASS****? package a7.unittests.dao; import static org.junit.Assert.assertTrue; import java.sql.Connection; import java.sql.PreparedStatement; import java.sql.ResultSet; import java.sql.Types; import org.junit.Test; import artemispm.tritonalerts.TimesheetAlert; public class UnitTestTimesheetAlert { @Test public void testQUERY_CHECKALERT() throws Exception{ UnitTestHelper helper = new UnitTestHelper(); Connection con = helper.getConnection(helper.sourceDBUrl); Connection conTarget = helper.getConnection(helper.targetDBUrl); PreparedStatement stmt = con.prepareStatement("select programmeapproval, resourceapproval from tr_timesheet where timesheetid = ?"); stmt.setInt(1, 2240); ResultSet sourceVal = stmt.executeQuery(); stmt = conTarget.prepareStatement("select programmeapproval, resourceapproval from tr_timesheet where timesheetid = ?"); stmt.setInt(1,2240); ResultSet targetVal = stmt.executeQuery(); assertTrue(helper.resultSetsEqual2(sourceVal,targetVal)); }} /*END**/ /*THIS IS A REGULAR CLASS**/ package a7.unittests.dao; import java.sql.Connection; import java.sql.DriverManager; import java.sql.ResultSet; import java.sql.ResultSetMetaData; import java.sql.SQLException; public class UnitTestHelper { static String sourceDBUrl = "jdbc:sqlserver://127.0.0.1:1433;databaseName=a7itm;user=a7user;password=a7user"; static String targetDBUrl = "jdbc:sqlserver://127.0.0.1:1433;databaseName=a7itm;user=a7user;password=a7user"; public Connection getConnection(String url)throws Exception{ return DriverManager.getConnection(url); } public boolean resultSetsEqual3 (ResultSet rs1, ResultSet rs2) throws SQLException { int col = 1; //ResultSetMetaData metadata = rs1.getMetaData(); //int count = metadata.getColumnCount(); while (rs1.next() && rs2.next()) { final Object res1 = rs1.getObject(col); final Object res2 = rs2.getObject(col); // Check values if (!res1.equals(res2)) { throw new RuntimeException(String.format("%s and %s aren't equal at common position %d", res1, res2, col)); } // rs1 and rs2 must reach last row in the same iteration if ((rs1.isLast() != rs2.isLast())) { throw new RuntimeException("The two ResultSets contains different number of columns!"); } } return true; } public boolean resultSetsEqual (ResultSet source, ResultSet target) throws SQLException{ while(source.next()) { target.next(); ResultSetMetaData metadata = source.getMetaData(); int count = metadata.getColumnCount(); for (int i =1; i<=count; i++) { if(source.getObject(i) != target.getObject(i)) { return false; } } } return true; } public boolean resultSetsEqual2 (ResultSet source, ResultSet target) throws SQLException{ while(source.next()) { target.next(); ResultSetMetaData metadata = source.getMetaData(); int count = metadata.getColumnCount(); for (int i =1; i<=count; i++) { if(source.getObject(i).equals(target.getObject(i))) { return false; } } } return true; } } /END***/ /*PASTED NEW CLASS - THIS IS A JUNIT TEST CLASS*/ package a7.unittests.dao; import static org.junit.Assert.*; import java.sql.Connection; import java.sql.DriverManager; import org.junit.Test; public class TestDatabaseConnection { @Test public void testConnection() throws Exception{ UnitTestHelper helper = new UnitTestHelper(); Connection con = helper.getConnection(helper.sourceDBUrl); Connection conTarget = helper.getConnection(helper.targetDBUrl); assertTrue(con != null && conTarget != null); } } /**END***/

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  • During Spring unit test, data written to db but test not seeing the data

    - by richever
    I wrote a test case that extends AbstractTransactionalJUnit4SpringContextTests. The single test case I've written creates an instance of class User and attempts to write it to the database using Hibernate. The test code then uses SimpleJdbcTemplate to execute a simple select count(*) from the user table to determine if the user was persisted to the database or not. The test always fails though. I was suspect because in the Spring controller I wrote, the ability to save an instance of User to the db is successful. So I added the Rollback annotation to the unit test and sure enough, the data is written to the database since I can even see it in the appropriate table -- the transaction isn't rolled back when the test case is finished. Here's my test case: @ContextConfiguration(locations = { "classpath:context-daos.xml", "classpath:context-dataSource.xml", "classpath:context-hibernate.xml"}) public class UserDaoTest extends AbstractTransactionalJUnit4SpringContextTests { @Autowired private UserDao userDao; @Test @Rollback(false) public void teseCreateUser() { try { UserModel user = randomUser(); String username = user.getUserName(); long id = userDao.create(user); String query = "select count(*) from public.usr where usr_name = '%s'"; long count = simpleJdbcTemplate.queryForLong(String.format(query, username)); Assert.assertEquals("User with username should be in the db", 1, count); } catch (Exception e) { e.printStackTrace(); Assert.assertNull("testCreateUser: " + e.getMessage()); } } } I think I was remiss by not adding the configuration files. context-hibernate.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" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd> <bean id="namingStrategy" class="org.springframework.beans.factory.config.FieldRetrievingFactoryBean"> <property name="staticField"> <value>org.hibernate.cfg.ImprovedNamingStrategy.INSTANCE</value> </property> </bean> <bean id="sessionFactory" class="org.springframework.orm.hibernate3.LocalSessionFactoryBean" destroy-method="destroy" scope="singleton"> <property name="namingStrategy"> <ref bean="namingStrategy"/> </property> <property name="dataSource" ref="dataSource"/> <property name="mappingResources"> <list> <value>com/company/model/usr.hbm.xml</value> </list> </property> <property name="hibernateProperties"> <props> <prop key="hibernate.dialect">org.hibernate.dialect.PostgreSQLDialect</prop> <prop key="hibernate.show_sql">true</prop> <prop key="hibernate.use_sql_comments">true</prop> <prop key="hibernate.query.substitutions">yes 'Y', no 'N'</prop> <prop key="hibernate.cache.provider_class">org.hibernate.cache.EhCacheProvider</prop> <prop key="hibernate.cache.use_query_cache">true</prop> <prop key="hibernate.cache.use_minimal_puts">false</prop> <prop key="hibernate.cache.use_second_level_cache">true</prop> <prop key="hibernate.current_session_context_class">thread</prop> </props> </property> </bean> <bean id="transactionManager" class="org.springframework.orm.hibernate3.HibernateTransactionManager"> <property name="sessionFactory" ref="sessionFactory"/> <property name="nestedTransactionAllowed" value="false" /> </bean> <bean id="transactionInterceptor" class="org.springframework.transaction.interceptor.TransactionInterceptor"> <property name="transactionManager"> <ref local="transactionManager"/> </property> <property name="transactionAttributes"> <props> <prop key="create">PROPAGATION_REQUIRED</prop> <prop key="delete">PROPAGATION_REQUIRED</prop> <prop key="update">PROPAGATION_REQUIRED</prop> <prop key="*">PROPAGATION_SUPPORTS,readOnly</prop> </props> </property> </bean> </beans> context-dataSource.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" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd"> <bean id="dataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource" destroy-method="close"> <property name="driverClass" value="org.postgresql.Driver" /> <property name="jdbcUrl" value="jdbc\:postgresql\://localhost:5432/company_dev" /> <property name="user" value="postgres" /> <property name="password" value="postgres" /> </bean> </beans> context-daos.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" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd"> <bean id="extendedFinderNamingStrategy" class="com.company.dao.finder.impl.ExtendedFinderNamingStrategy"/> <bean id="finderIntroductionAdvisor" class="com.company.dao.finder.impl.FinderIntroductionAdvisor"/> <bean id="abstractDaoTarget" class="com.company.dao.impl.GenericDaoHibernateImpl" abstract="true" depends-on="sessionFactory"> <property name="sessionFactory"> <ref bean="sessionFactory"/> </property> <property name="namingStrategy"> <ref bean="extendedFinderNamingStrategy"/> </property> </bean> <bean id="abstractDao" class="org.springframework.aop.framework.ProxyFactoryBean" abstract="true"> <property name="interceptorNames"> <list> <value>transactionInterceptor</value> <value>finderIntroductionAdvisor</value> </list> </property> </bean> <bean id="userDao" parent="abstractDao"> <property name="proxyInterfaces"> <value>com.company.dao.UserDao</value> </property> <property name="target"> <bean parent="abstractDaoTarget"> <constructor-arg> <value>com.company.model.UserModel</value> </constructor-arg> </bean> </property> </bean> </beans> Some of this I've inherited from someone else. I wouldn't have used the proxying that is going on here because I'm not sure it's needed but this is what I'm working with. Any help much appreciated.

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  • Windows 7 Phone Database – Querying with Views and Filters

    - by SeanMcAlinden
    I’ve just added a feature to Rapid Repository to greatly improve how the Windows 7 Phone Database is queried for performance (This is in the trunk not in Release V1.0). The main concept behind it is to create a View Model class which would have only the minimum data you need for a page. This View Model is then stored and retrieved rather than the whole list of entities. Another feature of the views is that they can be pre-filtered to even further improve performance when querying. You can download the source from the Microsoft Codeplex site http://rapidrepository.codeplex.com/. Setting up a view Lets say you have an entity that stores lots of data about a game result for example: GameScore entity public class GameScore : IRapidEntity {     public Guid Id { get; set; }     public string GamerId {get;set;}     public string Name { get; set; }     public Double Score { get; set; }     public Byte[] ThumbnailAvatar { get; set; }     public DateTime DateAdded { get; set; } }   On your page you want to display a list of scores but you only want to display the score and the date added, you create a View Model for displaying just those properties. GameScoreView public class GameScoreView : IRapidView {     public Guid Id { get; set; }     public Double Score { get; set; }     public DateTime DateAdded { get; set; } }   Now you have the view model, the first thing to do is set up the view at application start up. This is done using the following syntax. View Setup public MainPage() {     RapidRepository<GameScore>.AddView<GameScoreView>(x => new GameScoreView { DateAdded = x.DateAdded, Score = x.Score }); } As you can see, using a little bit of lambda syntax, you put in the code for constructing a single view, this is used internally for mapping an entity to a view. *Note* you do not need to map the Id property, this is done automatically, a view model id will always be the same as it’s corresponding entity.   Adding Filters One of the cool features of the view is that you can add filters to limit the amount of data stored in the view, this will dramatically improve performance. You can add multiple filters using the fluent syntax if required. In this example, lets say that you will only ever show the scores for the last 10 days, you could add a filter like the following: Add single filter public MainPage() {     RapidRepository<GameScore>.AddView<GameScoreView>(x => new GameScoreView { DateAdded = x.DateAdded, Score = x.Score })         .AddFilter(x => x.DateAdded > DateTime.Now.AddDays(-10)); } If you wanted to further limit the data, you could also say only scores above 100: Add multiple filters public MainPage() {     RapidRepository<GameScore>.AddView<GameScoreView>(x => new GameScoreView { DateAdded = x.DateAdded, Score = x.Score })         .AddFilter(x => x.DateAdded > DateTime.Now.AddDays(-10))         .AddFilter(x => x.Score > 100); }   Querying the view model So the important part is how to query the data. This is done using the repository, there is a method called Query which accepts the type of view as a generic parameter (you can have multiple View Model types per entity type) You can either use the result of the query method directly or perform further querying on the result is required. Querying the View public void DisplayScores() {     RapidRepository<GameScore> repository = new RapidRepository<GameScore>();     List<GameScoreView> scores = repository.Query<GameScoreView>();       // display logic } Further Filtering public void TodaysScores() {     RapidRepository<GameScore> repository = new RapidRepository<GameScore>();     List<GameScoreView> todaysScores = repository.Query<GameScoreView>().Where(x => x.DateAdded > DateTime.Now.AddDays(-1)).ToList();       // display logic }   Retrieving the actual entity Retrieving the actual entity can be done easily by using the GetById method on the repository. Say for example you allow the user to click on a specific score to get further information, you can use the Id populated in the returned View Model GameScoreView and use it directly on the repository to retrieve the full entity. Get Full Entity public void GetFullEntity(Guid gameScoreViewId) {     RapidRepository<GameScore> repository = new RapidRepository<GameScore>();     GameScore fullEntity = repository.GetById(gameScoreViewId);       // display logic } Synchronising The View If you are upgrading from Rapid Repository V1.0 and are likely to have data in the repository already, you will need to perform a synchronisation to ensure the views and entities are fully in sync. You can either do this as a one off during the application upgrade or if you are a little more cautious, you could run this at each application start up. Synchronise the view public void MyUpgradeTasks() {     RapidRepository<GameScore>.SynchroniseView<GameScoreView>(); } It’s worth noting that in normal operation, the view keeps itself in sync with the entities so this is only really required if you are upgrading from V1.0 to V2.0 when it gets released shortly.   Summary I really hope you like this feature, it will be great for performance and I believe supports good practice by promoting the use of View Models for specific pages. I’m hoping to produce a beta for this over the next few days, I just want to add some more tests and hopefully iron out any bugs. I would really appreciate any thoughts on this feature and would really love to know of any bugs you find. You can download the source from the following : http://rapidrepository.codeplex.com/ Kind Regards, Sean McAlinden.

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  • SQL – Quick Start with Admin Sections of NuoDB – Manage NuoDB Database

    - by Pinal Dave
    In the yesterday’s blog post we have seen that it is extremely easy to install the NuoDB database on your local machine. Now that the application is properly set up, let us explore NuoDB a bit more and get you familiar with the how it works and what the important areas of the NuoDB are that you should learn. As we have already installed NuoDB, now we will quickly start with two of the important areas in NuoDB: 1) Admin and 2) Explorer. In this blog post I will explore how the Admin Section of the NuoDB Console works.  In the next blog post we will learn how the Explorer Section works. Let us go to the NuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the following screen: On this screen you can see a big Start QuickStart button. Click on the button and it will bring you to following screen. On this screen you will find very important information about Domain and Database Settings. It is our habit that we do not read what is written on the screen and keep on clicking on continue without reading. While we are familiar with most wizards, we can often miss the very important message on the screen. Please note the information of Domain Settings and Database Settings from the following screen before clicking on Create Database. Domain Settings User: quickstart Password: quickstart Database Settings User: dba Password: goalie Database: test Schema: HOCKEY Once you click on the Create Database button it will immediately start creating sample database. First, it will start a Storage Manager and right after that it will start a Transaction Engine. Once the engine is up, it will Create a Schema and Sample Data. On the success of the creating the sample database it will show the following screen. Now is the time where we can explore the NuoDB Admin or NuoDB Explorer. If you click on Admin, it will first show following login screen. Enter for the username “domain” and for the password “bird”. Alternatively you can enter “quickstart”  twice for username and password.  It works as too. Once you enter into the Admin Section, on the left side you can see information about NuoDB and Admin Console and on the right side you can see the domain overview area. From this Administrative section you can do any of the following tasks: Create a view of the entire domain Add and remove databases Start and stop NuoDB Transaction Engines and Storage Managers Monitor transaction across all the NuoDB databases On the right side of the Admin Section we can see various information about a particular NuoDB domain. You can quickly view various alerts, find out information about the number of host machines that are provisioned for the domain, and see the number of databases and processes that are running in the domain. If you click on the “1 host” link you will be able to see various processes, CPU usage and other information. In the Processes Section you can see that there are two different types of processes. The first process (where you can see the floppy drive icon) represents a running Storage Manager process and the second process a running Transaction Engine process. You can click on the links for the Storage Manager and Transaction Engine to see further statistical details right down to the last byte of the data. There are various charts available for analysis as well. I think the product is quite mature and the user can add different monitor charts to the Admin section. Additionally, the Admin section is the place where you can create and manage new databases. I hope today’s tutorial gives you enough confidence that you can try out NuoDB and checkout various administrative activities with the database. I am personally impressed with their dashboard related to various counters. For more information about how the NuoDB architecture works and what a Storage Manager or Transaction Engine does, check out this short video with NuoDB CTO Seth Proctor:  In the next blog post, we will try out the Explorer section of NuoDB, which allows us to run SQL queries and write SQL code.  Meanwhile, I strongly suggest you download and install NuoDB and get yourself familiar with the product. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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  • The new Auto Scaling Service in Windows Azure

    - by shiju
    One of the key features of the Cloud is the on-demand scalability, which lets the cloud application developers to scale up or scale down the number of compute resources hosted on the Cloud. Auto Scaling provides the capability to dynamically scale up and scale down your compute resources based on user-defined policies, Key Performance Indicators (KPI), health status checks, and schedules, without any manual intervention. Auto Scaling is an important feature to consider when designing and architecting cloud based solutions, which can unleash the real power of Cloud to the apps for providing truly on-demand scalability and can also guard the organizational budget for cloud based application deployment. In the past, you have had to leverage the the Microsoft Enterprise Library Autoscaling Application Block (WASABi) or a services like  MetricsHub for implementing Automatic Scaling for your cloud apps hosted on the Windows Azure. The WASABi required to host your auto scaling block in a Windows Azure Worker Role for effectively implementing the auto scaling behaviour to your Windows Azure apps. The newly announced Auto Scaling service in Windows Azure lets you add automatic scaling capability to your Windows Azure Compute Services such as Cloud Services, Web Sites and Virtual Machine. Unlike WASABi hosted on a Worker Role, you don’t need to host any monitoring service for using the new Auto Scaling service and the Auto Scaling service will be available to individual Windows Azure Compute Services as part of the Scaling. Configure Auto Scaling for a Windows Azure Cloud Service Currently the Auto Scaling service supports Cloud Services, Web Sites and Virtual Machine. In this demo, I will be used a Cloud Services app with a Web Role and a Worker Role. To enable the Auto Scaling, select t your Windows Azure app in the Windows Azure management portal, and choose “SCLALE” tab. The Scale tab will show the all information regards with Auto Scaling. The below image shows that we have currently disabled the AutoScale service. To enable Auto Scaling, you need to choose either CPU or QUEUE. The QUEUE option is not available for Web Sites. The image below demonstrates how to configure Auto Scaling for a Web Role based on the utilization of CPU. We have configured the web role app for running with 1 to 5 Virtual Machine instances based on the CPU utilization with a range of 50 to 80%. If the aggregate utilization is becoming above above 80%, it will scale up instances and it will scale down instances when utilization is becoming below 50%. The image below demonstrates how to configure Auto Scaling for a Worker Role app based on the messages added into the Windows Azure storage Queue. We configured the worker role app for running with 1 to 3 Virtual Machine instances based on the Queue messages added into the Windows Azure storage Queue. Here we have specified the number of messages target per machine is 2000. The image below shows the summary of the Auto Scaling for the Cloud Service after configuring auto scaling service. Summary Auto Scaling is an extremely important behaviour of the Cloud applications for providing on-demand scalability without any manual intervention. Windows Azure provides greater support for enabling Auto Scaling for the apps deployed on the Windows Azure cloud platform. The new Auto Scaling service in Windows Azure lets you add automatic scaling capability to your Windows Azure Compute Services such as Cloud Services, Web Sites and Virtual Machine. In the new Auto Scaling service, you don’t have to host any monitor service like you have had in WASABi block. The Auto Scaling service is an excellent alternative to the manually hosting WASABi block in a Worker Role app.

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  • Performance impact: What is the optimal payload for SqlBulkCopy.WriteToServer()?

    - by Linchi Shea
    For many years, I have been using a C# program to generate the TPC-C compliant data for testing. The program relies on the SqlBulkCopy class to load the data generated by the program into the SQL Server tables. In general, the performance of this C# data loader is satisfactory. Lately however, I found myself in a situation where I needed to generate a much larger amount of data than I typically do and the data needed to be loaded within a confined time frame. So I was driven to look into the code...(read more)

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  • Windows Azure Emulators On Your Desktop

    - by BuckWoody
    Many people feel they have to set up a full Azure subscription online to try out and develop on Windows Azure. But you don’t have to do that right away. In fact, you can download the Windows Azure Compute Emulator – a “cloud development environment” – right on your desktop. No, it’s not for production use, and no, you won’t have other people using your system as a cloud provider, and yes, there are some differences with Production Windows Azure, but you’ll be able code, run, test, diagnose, watch, change and configure code without having any connection to the Internet at all. The best thing about this approach is that when you are ready to deploy the code you’ve been testing, a few clicks deploys it to your subscription when you make one.   So what deep-magic does it take to run such a thing right on your laptop or even a Virtual PC? Well, it’s actually not all that difficult. You simply download and install the Windows Azure SDK (you can even get a free version of Visual Studio for it to run on – you’re welcome) from here: http://msdn.microsoft.com/en-us/windowsazure/cc974146.aspx   This SDK will also install the Windows Azure Compute Emulator and the Windows Azure Storage Emulator – and then you’re all set. Right-click the icon for Visual Studio and select “Run as Administrator”:    Now open a new “Cloud” type of project:   Add your Web and Worker Roles that you want to code:   And when you’re done with your design, press F5 to start the desktop version of Azure:   Want to learn more about what’s happening underneath? Right-click the tray icon with the Azure logo, and select the two emulators to see what they are doing:          In the configuration files, you’ll see a “Use Development Storage” setting. You can call the BLOB, Table or Queue storage and it will all run on your desktop. When you’re ready to deploy everything to Windows Azure, you simply change the configuration settings and add the storage keys and so on that you need.   Want to learn more about all this?   Overview of the Windows Azure Compute Emulator: http://msdn.microsoft.com/en-us/library/gg432968.aspx Overview of the Windows Azure Storage Emulator: http://msdn.microsoft.com/en-us/library/gg432983.aspx January 2011 Training Kit: http://www.microsoft.com/downloads/en/details.aspx?FamilyID=413E88F8-5966-4A83-B309-53B7B77EDF78&displaylang=en      

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  • Why do I bother with RAID 10 ?

    - by GrumpyOldDBA
    Before I post anything I just want to clarify what I mean by RAID 10 , this is sets of mirrored pairs that have been striped as against a RAID 0 which has been mirrored. I've just had a disk failure in the data array for one of my dev servers, it's an eight disk raid 8, no real worries, replace disk and off we go - but no - the HP engineers told me from the diagnostics ( done to ensure I got the right replacement under warranty ) that not only had a disk failed but I'd lost all the data...(read more)

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  • Oracle Announces Oracle Data Integrator 12c and Oracle GoldenGate 12c

    - by Roxana Babiciu
    In today’s data-driven business environment, organizations need to cost-effectively manage the ever-growing streams of information originating both inside and outside the firewall and address emerging deployment styles like cloud, big data analytics, and real-time replication. To help customers succeed, Oracle is enhancing its data integration offering with Oracle Data Integrator 12c and Oracle GoldenGate 12c. These flexible and comprehensive solutions help customers capitalize on their data to reduce costs and drive business growth. Read more here

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  • Next-Generation Data Integration on Oracle Exadata

    - by Julien Testut
    Normal 0 false false false EN-US X-NONE X-NONE Companies are currently faced with increasing data volumes and retention times while simultaneously batch windows are shrinking. In the ‘Next-Generation Data Integration on Oracle Exadata’ session we will be discussing how Oracle with its innovative Data Integration solution along with Exadata can help companies tackle that challenge. Oracle Data Integrator and Oracle GoldenGate provide industry-leading performance and scalability for data integration on Oracle Exadata. They are both uniquely designed to take full advantage of the power of the database and to eliminate unnecessary middle-tier components which can often be bottlenecks for data movement and transformation. Combined with the extreme performance provided by Exadata our Data Integration products help companies move towards a more efficient and flexible data integration infrastructure. Normal 0 false false false EN-US X-NONE X-NONE /* 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} If you’re interested in hearing more about how our customers maximize the performance of their Exadata systems while minimizing batch windows, all without adding more hardware resources join us for the following session: Normal 0 false false false EN-US X-NONE X-NONE /* 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Normal 0 false false false EN-US X-NONE X-NONE /* 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Next-Generation Data Integration on Oracle Exadata  Thursday October, 4th - 11:15AM - 12:15PM Moscone West – Room 3005 We also have many other exciting sessions including 'Oracle Data Integrator Product Update and Future Strategy' on October 2nd at 1:15PM in Moscone West Room 3005. In this session we will discuss the ODI roadmap and its integration with engineered systems such as the Oracle Big Data Appliance. It's a session not to be missed! You can find a list of all the Data Integration sessions happening at Oracle OpenWorld in this document: Focus On Data Integration. If you will not be able to come to OpenWorld, for more information please check out our data sheet Oracle Data Integration Solutions and the Oracle Exadata Database Machine. /* 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Windows Azure Emulators On Your Desktop

    - by BuckWoody
    Many people feel they have to set up a full Azure subscription online to try out and develop on Windows Azure. But you don’t have to do that right away. In fact, you can download the Windows Azure Compute Emulator – a “cloud development environment” – right on your desktop. No, it’s not for production use, and no, you won’t have other people using your system as a cloud provider, and yes, there are some differences with Production Windows Azure, but you’ll be able code, run, test, diagnose, watch, change and configure code without having any connection to the Internet at all. The best thing about this approach is that when you are ready to deploy the code you’ve been testing, a few clicks deploys it to your subscription when you make one.   So what deep-magic does it take to run such a thing right on your laptop or even a Virtual PC? Well, it’s actually not all that difficult. You simply download and install the Windows Azure SDK (you can even get a free version of Visual Studio for it to run on – you’re welcome) from here: http://msdn.microsoft.com/en-us/windowsazure/cc974146.aspx   This SDK will also install the Windows Azure Compute Emulator and the Windows Azure Storage Emulator – and then you’re all set. Right-click the icon for Visual Studio and select “Run as Administrator”:    Now open a new “Cloud” type of project:   Add your Web and Worker Roles that you want to code:   And when you’re done with your design, press F5 to start the desktop version of Azure:   Want to learn more about what’s happening underneath? Right-click the tray icon with the Azure logo, and select the two emulators to see what they are doing:          In the configuration files, you’ll see a “Use Development Storage” setting. You can call the BLOB, Table or Queue storage and it will all run on your desktop. When you’re ready to deploy everything to Windows Azure, you simply change the configuration settings and add the storage keys and so on that you need.   Want to learn more about all this?   Overview of the Windows Azure Compute Emulator: http://msdn.microsoft.com/en-us/library/gg432968.aspx Overview of the Windows Azure Storage Emulator: http://msdn.microsoft.com/en-us/library/gg432983.aspx January 2011 Training Kit: http://www.microsoft.com/downloads/en/details.aspx?FamilyID=413E88F8-5966-4A83-B309-53B7B77EDF78&displaylang=en      

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  • Instruction vs data cache usage

    - by Nick Rosencrantz
    Say I've got a cache memory where instruction and data have different cache memories ("Harvard architecture"). Which cache, instruction or data, is used most often? I mean "most often" as in time, not amount of data since data memory might be used "more" in terms of amount of data while instruction cache might be used "more often" especially depending on the program. Are there different answers a) in general and b) for a specific program?

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  • Transparent Data Encryption

    Transparent Data Encryption is designed to protect data by encrypting the physical files of the database, rather than the data itself. Its main purpose is to prevent unauthorized access to the data by restoring the files to another server. With Transparent Data Encryption in place, this requires the original encryption certificate and master key. It was introduced in the Enterprise edition of SQL Server 2008. John Magnabosco explains fully, and guides you through the process of setting it up.

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  • Google I/O 2012 - Spatial Data Visualization

    Google I/O 2012 - Spatial Data Visualization Brendan Kenny, Enoch Lau Maps were among the first data visualizations, but they can also provide the backdrop for visualizing your own spatial data. In this session, we'll take a voyage through the world of map based data visualization, arming you with the tools you need to most effectively bring your data to life on a map using the Maps API v3. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1053 26 ratings Time: 01:00:17 More in Science & Technology

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  • Data Source Use of Oracle Edition Based Redefinition (EBR)

    - by Steve Felts
    Edition-based redefinition is a new feature in the 11gR2 release of the Oracle database. It enables you to upgrade the database component of an application while it is in use, thereby minimizing or eliminating down time. It works by allowing for a pre-upgrade and post-upgrade view of the data to exist at the same time, providing a hot upgrade capability. You can then specify which view you want for a particular session.  See the Oracle Database Advanced Application Developer's Guide for further information. There is also a good white paper at Edition Based Definition. Using this feature of the Oracle database does not require any new WebLogic Server functionality. It is set for each connection in the pool automatically by simply specifying SQL ALTER SESSION SET EDITION = edition_name in the Init SQL parameter in the data source configuration. This can be configured either via the console or via WLST (setInitSQL on the JDBCConnectionPoolParams). This SQL statement is executed for each newly created physical database connection.Note that we are assuming that a data source references only one edition of the database. To make use of this feature, you would have an earlier version of the application with a data source that references the earlier EDITION and a later version of the application with a data source that references the later EDITION.   Once you start talking about multiple versions of a WLS application, you should be using the WLS "side-by-side" or "versioned" deployment feature.  See Developing Applications for Production Redeployment for more information.  By combining Oracle database EBR and WLS versioned deployment, the application can be failed over with no downtime, making the combination of features more powerful than either independently. There is a catch - you need to be running with a versioned database and a versioned application initially so then you can switch versions.  The recommended way to version a WLS application is to simply add the "Weblogic-Application-Version" property in the MANIFEST.MF file(you can also specify it at deployment time). The recommended way to configure the data source is to use a packaged data source descriptor that's stored in the ear or war so that everything is self-contained.  There are some restrictions.  You can't use a packaged data source with Logging Last Resource (LLR) - you need to use a system resource.  You can't use an application-scoped packaged data source with EmulateTwoPhaseCommit for the global-transactions-protocol with a versioned application - use a global scope.  See Configuring JDBC Application Modules for Deployment for more details. There's one known problem - it doesn't work correctly with an XA data source (patch available with bug 14075837).

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  • OTN Virtual Technology Summit - July 9 - Middleware Track

    - by OTN ArchBeat
    The Architecture of Analytics: Big Time Big Data and Business Intelligence This four-session track, part of the free OTN Virtual Technology Summit on July 9, will present a solution architect's perspective on how business intelligence products in Oracle's Fusion Middleware family and beyond fit into an effective big data architecture, offering insight and expertise from Oracle ACE Directors and product team experts specializing in business Intelligence to help you meet your big data business intelligence challenges. Register now! Sessions Oracle Big Data Appliance Case Study: Using Big Data to Analyze Cancer-Genome Relationships Tom Plunkett, Lead Author of the Oracle Big Data Handbook What does it take to build an award winning Big Data solution? This presentation takes a deep technical dive into the use of the Oracle Big Data Appliance in a project for the National Cancer Institute's Frederick National Laboratory for Cancer Research. The Frederick National Laboratory and the Oracle team won several awards for analyzing relationships between genomes and cancer subtypes with big data, including the 2012 Government Big Data Solutions Award, the 2013 Excellence.Gov Finalist for Innovation, and the 2013 ComputerWorld Honors Laureate for Innovation. [30 mins] Getting Value from Big Data Variety Richard Tomlinson, Director, Product Management, Oracle Big data variety implies big data complexity. Performing analytics on diverse data typically involves mashing up structured, semi-structured and unstructured content. So how can we do this effectively to get real value? How do we relate diverse content so we can start to analyze it? This session looks at how we approach this tricky problem using Endeca Information Discovery. [30 mins] How To Leverage Your Investment In Oracle Business Intelligence Enterprise Edition Within a Big Data Architecture Oracle ACE Director Kevin McGinley More and more organizations are realizing the value Big Data technologies contribute to the return on investment in Analytics. But as an increasing variety of data types reside in different data stores, organizations are finding that a unified Analytics layer can help bridge the divide in modern data architectures. This session will examine how you can enable Oracle Business Intelligence Enterprise Edition (OBIEE) to play a role in a unified Analytics layer and the benefits and use cases for doing so. [30 mins] Oracle Data Integrator 12c As Your Big Data Data Integration Hub Oracle ACE Director Mark Rittman Oracle Data Integrator 12c (ODI12c), as well as being able to integrate and transform data from application and database data sources, also has the ability to load, transform and orchestrate data loads to and from Big Data sources. In this session, we'll look at ODI12c's ability to load data from Hadoop, Hive, NoSQL and file sources, transform that data using Hive and MapReduce processing across the Hadoop cluster, and then bulk-load that data into an Oracle Data Warehouse using Oracle Big Data Connectors. We will also look at how ODI12c enables ETL-offloading to a Hadoop cluster, with some tips and techniques on real-time capture into a Hadoop data reservoir and techniques and limitations when performing ETL on big data sources. [90 mins] Register now!

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