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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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  • 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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  • iPhone Audio Queue Service sample units

    - by pion
    I am looking at Audio Queue Services document specifically on the following code: // Writing an audio queue buffer to disk AudioFileWritePackets ( // 1 pAqData->mAudioFile, // 2 false, // 3 inBuffer->mAudioDataByteSize, // 4 inPacketDesc, // 5 pAqData->mCurrentPacket, // 6 &inNumPackets, // 7 inBuffer->mAudioData // 8 ); inBuffer-mAudioDataByteSize is the number of bytes of audio data being written. inBuffer-mAudioData is the new audio data to write to the audio file. Assuming the sample rate is 44100. AudioStreamBasicDescription mDataFormat; mDataFormat.mSampleRate = 44100.0f; mDataFormat.mBitsPerChannel = 16; ... NSInteger numberSamples = inBuffer->mAudioDataByteSize / 2; SInt16 *audioSample = (SInt16 *)inBuffer->mAudioData; I use core-plot to plot the above where x axis is number of sample [1 .. numberSamples] and the y axis is audioSample[0] .. audioSample[numberSamples]. I can see the chart in "real-time" where the y axis goes up and down depending the loudness of my voice. Beginner questions: What does the audioSample represent? What am I looking at here? What is the unit of audioSample? What do I need to do if I just want to plot the range between 50 - 100 Hz? Thanks in advance for your help.

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  • Scaling gwt's "Contacts" (sample project) AppController with MVP

    - by brad
    I'm just learning GWT so I'm still trying to sort out all of its quirks and features. I'm reading through the example they give illustrating the MVP pattern, and I pretty much get it, except I'm wondering about one thing. The AppController they use implements the ValueChangeHandler interface and the onValueChange method is triggered when history changes. My problem is with this onValueChange in the AppController (i've included it below for anyone who hasn't seen the sample project). It's doing a string comparison on the history token sent in and instantiating the appropriate presenter to handle the action. This is all fine and dandy for the sample app with 3 actions, but how would one scale this to a real app with many more actions? Sticking to this pattern would lead to a pretty large/ugly else if, but I'm still too new to GWT (and java) to infer a better pattern for larger apps. Any help is greatly appreciated! public class AppController implements Presenter, ValueChangeHandler<String> { ... public void onValueChange(ValueChangeEvent<String> event) { String token = event.getValue(); if (token != null) { Presenter presenter = null; if (token.equals("list")) { presenter = new ContactsPresenter(rpcService, eventBus, new ContactsView()); } else if (token.equals("add")) { presenter = new EditContactPresenter(rpcService, eventBus, new EditContactView()); } else if (token.equals("edit")) { presenter = new EditContactPresenter(rpcService, eventBus, new EditContactView()); } if (presenter != null) { presenter.go(container); } } } }

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  • Webservices on iPhone - wsdl2objc - Sample Code?

    - by markmcgookin
    I have recently downloaded the most recent build of this awesome tool WSDL2OBJC from google code here: http://code.google.com/p/wsdl2objc/ After a bit of tweaking and downloading the latest version of the trunk from the svn repo I got a version that created the code for a WSDL I am using and compiles great and actually installs on my phone! However, I'm not doing anything with it yet, because I am not really sure how to. There is very little in the way of sample code on the site, and there is a sample file in the project if you download it, but again it is very complicated and there are no real bits of documentation. Has anyone managed to successfully use this stuff? It seems SOOO powerful and useful but from a look around the Internet, no one knows how to use it. We (all) would love someone who has figured it out to post a simple project or detailed walk-through of implementing this so we can put the code that lots of people have worked hard on to good use. If anyone has found a blog entry or has this information it would be great to see! I am totally stuck... with no errors. I would love to know how to use this now that it's all compiled successfully!

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  • Optimal storage of data structure for fast lookup and persistence

    - by Mikael Svenson
    Scenario I have the following methods: public void AddItemSecurity(int itemId, int[] userIds) public int[] GetValidItemIds(int userId) Initially I'm thinking storage on the form: itemId -> userId, userId, userId and userId -> itemId, itemId, itemId AddItemSecurity is based on how I get data from a third party API, GetValidItemIds is how I want to use it at runtime. There are potentially 2000 users and 10 million items. Item id's are on the form: 2007123456, 2010001234 (10 digits where first four represent the year). AddItemSecurity does not have to perform super fast, but GetValidIds needs to be subsecond. Also, if there is an update on an existing itemId I need to remove that itemId for users no longer in the list. I'm trying to think about how I should store this in an optimal fashion. Preferably on disk (with caching), but I want the code maintainable and clean. If the item id's had started at 0, I thought about creating a byte array the length of MaxItemId / 8 for each user, and set a true/false bit if the item was present or not. That would limit the array length to little over 1mb per user and give fast lookups as well as an easy way to update the list per user. By persisting this as Memory Mapped Files with the .Net 4 framework I think I would get decent caching as well (if the machine has enough RAM) without implementing caching logic myself. Parsing the id, stripping out the year, and store an array per year could be a solution. The ItemId - UserId[] list can be serialized directly to disk and read/write with a normal FileStream in order to persist the list and diff it when there are changes. Each time a new user is added all the lists have to updated as well, but this can be done nightly. Question Should I continue to try out this approach, or are there other paths which should be explored as well? I'm thinking SQL server will not perform fast enough, and it would give an overhead (at least if it's hosted on a different server), but my assumptions might be wrong. Any thought or insights on the matter is appreciated. And I want to try to solve it without adding too much hardware :) [Update 2010-03-31] I have now tested with SQL server 2008 under the following conditions. Table with two columns (userid,itemid) both are Int Clustered index on the two columns Added ~800.000 items for 180 users - Total of 144 million rows Allocated 4gb ram for SQL server Dual Core 2.66ghz laptop SSD disk Use a SqlDataReader to read all itemid's into a List Loop over all users If I run one thread it averages on 0.2 seconds. When I add a second thread it goes up to 0.4 seconds, which is still ok. From there on the results are decreasing. Adding a third thread brings alot of the queries up to 2 seonds. A forth thread, up to 4 seconds, a fifth spikes some of the queries up to 50 seconds. The CPU is roofing while this is going on, even on one thread. My test app takes some due to the speedy loop, and sql the rest. Which leads me to the conclusion that it won't scale very well. At least not on my tested hardware. Are there ways to optimize the database, say storing an array of int's per user instead of one record per item. But this makes it harder to remove items.

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  • Apple's Sample App TopSongs has 26 Leaks, Ugh!

    - by RoLYroLLs
    Hey all, I've been building an app for a client and part of it uses Apple's TopSongs sample app to download data on another thread. I finally got enough done to start testing that part and found 1000 leaks!!! A closer look at the leaks made me check TopSongs for leaks, since none of the my methods were in leaks report. Running TopSongs returned 26 leaks. Not quite sure how to fix them, or if they are part of some library from Apple. I bet you're asking if it has 26, why do you have 1000? Well, I use their sample to make roughly 48 calls to webservices to get all the information needed on initial install (48 calls x 26 leaks = 1248 leaks!!). Later it makes at least 12 calls + 4 to check for updated information on other sections of the app. Can't do a thing about it, can't make one call, or less calls, please don't comment about this part. I seen people respond to posts that aren't necessarily answering the question the user originally posted, which in this case is has anyone tried patching up the leaks, if they are patchable, or is this a bug in Apple's libraries? Thanks so much.

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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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  • Unit Testing - Algorithm or Sample based ?

    - by ohadsc
    Say I'm trying to test a simple Set class public IntSet : IEnumerable<int> { Add(int i) {...} //IEnumerable implementation... } And suppose I'm trying to test that no duplicate values can exist in the set. My first option is to insert some sample data into the set, and test for duplicates using my knowledge of the data I used, for example: //OPTION 1 void InsertDuplicateValues_OnlyOneInstancePerValueShouldBeInTheSet() { var set = new IntSet(); //3 will be added 3 times var values = new List<int> {1, 2, 3, 3, 3, 4, 5}; foreach (int i in values) set.Add(i); //I know 3 is the only candidate to appear multiple times int counter = 0; foreach (int i in set) if (i == 3) counter++; Assert.AreEqual(1, counter); } My second option is to test for my condition generically: //OPTION 2 void InsertDuplicateValues_OnlyOneInstancePerValueShouldBeInTheSet() { var set = new IntSet(); //The following could even be a list of random numbers with a duplicate var values = new List<int> { 1, 2, 3, 3, 3, 4, 5}; foreach (int i in values) set.Add(i); //I am not using my prior knowledge of the sample data //the following line would work for any data CollectionAssert.AreEquivalent(new HashSet<int>(values), set); } Of course, in this example, I conveniently have a set implementation to check against, as well as code to compare collections (CollectionAssert). But what if I didn't have either ? This is the situation when you are testing your real life custom business logic. Granted, testing for expected conditions generically covers more cases - but it becomes very similar to implementing the logic again (which is both tedious and useless - you can't use the same code to check itself!). Basically I'm asking whether my tests should look like "insert 1, 2, 3 then check something about 3" or "insert 1, 2, 3 and check for something in general" EDIT - To help me understand, please state in your answer if you prefer OPTION 1 or OPTION 2 (or neither, or that it depends on the case, etc )

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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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  • 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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  • 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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  • 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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  • 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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  • Separating logic and data in browser game

    - by Tesserex
    I've been thinking this over for days and I'm still not sure what to do. I'm trying to refactor a combat system in PHP (...sorry.) Here's what exists so far: There are two (so far) types of entities that can participate in combat. Let's just call them players and NPCs. Their data is already written pretty well. When involved in combat, these entities are wrapped with another object in the DB called a Combatant, which gives them information about the particular fight. They can be involved in multiple combats at once. I'm trying to write the logic engine for combat by having combatants injected into it. I want to be able to mock everything for testing. In order to separate logic and data, I want to have two interfaces / base classes, one being ICombatantData and the other ICombatantLogic. The two implementers of data will be one for the real objects stored in the database, and the other for my mock objects. I'm now running into uncertainties with designing the logic side of things. I can have one implementer for each of players and NPCs, but then I have an issue. A combatant needs to be able to return the entity that it wraps. Should this getter method be part of logic or data? I feel strongly that it should be in data, because the logic part is used for executing combat, and won't be available if someone is just looking up information about an upcoming fight. But the data classes only separate mock from DB, not player from NPC. If I try having two child classes of the DB data implementer, one for each entity type, then how do I architect that while keeping my mocks in the loop? Do I need some third interface like IEntityProvider that I inject into the data classes? Also with some of the ideas I've been considering, I feel like I'll have to put checks in place to make sure you don't mismatch things, like making the logic for an NPC accidentally wrap the data for a player. Does that make any sense? Is that a situation that would even be possible if the architecture is correct, or would the right design prohibit that completely so I don't need to check for it? If someone could help me just layout a class diagram or something for this it would help me a lot. Thanks. edit Also useful to note, the mock data class doesn't really need the Entity, since I'll just be specifying all the parameters like combat stats directly instead. So maybe that will affect the correct design.

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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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  • I have data that sends in "bursts" of 100 records with a significant delay. How do I structure my classes for multithreading?

    - by makerofthings7
    My datasource sends information in 100 batches of 100 records with a delay of 1 to 3 seconds between batches. I would like to start processing data as soon as it's received, but I'm not sure how to best approach this. Some ideas I've been playing with include: yield Concurrent Dictionary ConcurrentDictionary with INotifyProperyChanged Events etc. As you can see I'm all over the place, and would appreciate some tested guidance on how to approach this

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  • Windows Azure from a Data Perspective

    Before creating a data application in Windows Azure, it is important to make choices based on the type of data you have, as well as the security and the business requirements. There are a wide range of options, because Windows Azure has intrinsic data storage, completely separate from SQL Azure, that is highly available and replicated. Your data requirements are likely to dictate the type of data storage options you choose.

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  • Windows Azure from a Data Perspective

    Before creating a data application in Windows Azure, it is important to make choices based on the type of data you have, as well as the security and the business requirements. There are a wide range of options, because Windows Azure has intrinsic data storage, completely separate from SQL Azure, that is highly available and replicated. Your data requirements are likely to dictate the type of data storage options you choose.

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  • Windows Azure from a Data Perspective

    Before creating a data application in Windows Azure, it is important to make choices based on the type of data you have, as well as the security and the business requirements. There are a wide range of options, because Windows Azure has intrinsic data storage, completely separate from SQL Azure, that is highly available and replicated. Your data requirements are likely to dictate the type of data storage options you choose.

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