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• Problem to match font size to the screen resolution in libgdx

  - by Iñaki Bedoya

  I'm having problems to show text on my game at same size on different screens, and I did a simple test. This test consists to show a text fitting at the screen, I want the text has the same size independently from the screen and from DPI. I've found this and this answer that I think should solve my problem but don't. In desktop the size is ok, but in my phone is too big. This is the result on my Nexus 4: (768x1280, 2.0 density) And this is the result on my MacBook: (480x800, 0.6875 density) I'm using the Open Sans Condensed (link to google fonts) As you can see on desktop looks good, but on the phone is so big. Here the code of my test: public class TextTest extends ApplicationAdapter { private static final String TAG = TextTest.class.getName(); private static final String TEXT = "Tap the screen to start"; private OrthographicCamera camera; private Viewport viewport; private SpriteBatch batch; private BitmapFont font; @Override public void create () { Gdx.app.log(TAG, "Screen size: "+Gdx.graphics.getWidth()+"x"+Gdx.graphics.getHeight()); Gdx.app.log(TAG, "Density: "+Gdx.graphics.getDensity()); camera = new OrthographicCamera(); viewport = new ExtendViewport(Gdx.graphics.getWidth(), Gdx.graphics.getWidth(), camera); batch = new SpriteBatch(); FreeTypeFontGenerator generator = new FreeTypeFontGenerator(Gdx.files.internal("fonts/OpenSans-CondLight.ttf")); font = createFont(generator, 64); generator.dispose(); } private BitmapFont createFont(FreeTypeFontGenerator generator, float dp) { FreeTypeFontGenerator.FreeTypeFontParameter parameter = new FreeTypeFontGenerator.FreeTypeFontParameter(); int fontSize = (int)(dp * Gdx.graphics.getDensity()); parameter.size = fontSize; Gdx.app.log(TAG, "Font size: "+fontSize+"px"); return generator.generateFont(parameter); } @Override public void render () { Gdx.gl.glClearColor(1, 1, 1, 1); Gdx.gl.glClear(GL20.GL_COLOR_BUFFER_BIT); int w = -(int)(font.getBounds(TEXT).width / 2); batch.setProjectionMatrix(camera.combined); batch.begin(); font.setColor(Color.BLACK); font.draw(batch, TEXT, w, 0); batch.end(); } @Override public void resize(int width, int height) { viewport.update(width, height); } @Override public void dispose() { font.dispose(); batch.dispose(); } } I'm trying to find a neat way to fix this. What I'm doing wrong? is the camera? the viewport? UPDATE: What I want is to keep the same margins in proportion, independently of the screen size or resolution. This image illustrates what I mean.

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• Dell XPS 15 (L502x) sound problem

  - by lauramolenaar

  I have a problem with my sound on my Dell XPS 15. First, when I had Windows 7, my sound was pretty good (I have a JBL 2.1 speaker system with Waves Maxx audio), but since I installed Ubuntu 12.04 it sounded very cheap and as if I put my laptop in a tin can. I've already tried installing alsa-hda-dkms from the alsa-daily ppa (http://ppa.launchpad.net/ubuntu-audio-dev/alsa-daily) This is my audio controller: laura@laura-XPS-L502X:~$ lspci -v | grep -A7 -i audio 00:1b.0 Audio device: Intel Corporation 6 Series/C200 Series Chipset Family High Definition Audio Controller (rev 05) Subsystem: Dell Device 04b6 Flags: bus master, fast devsel, latency 0, IRQ 51 Memory at f1c00000 (64-bit, non-prefetchable) [size=16K] Capabilities: <access denied> Kernel driver in use: snd_hda_intel Kernel modules: snd-hda-intel I hope you can help me, and you can always ask me for more information. Result of aplay -l: **** List of PLAYBACK Hardware Devices **** card 0: PCH [HDA Intel PCH], device 0: ALC665 Analog [ALC665 Analog] Subdevices: 0/1 Subdevice #0: subdevice #0 card 0: PCH [HDA Intel PCH], device 1: ALC665 Digital [ALC665 Digital] Subdevices: 1/1 Subdevice #0: subdevice #0 card 0: PCH [HDA Intel PCH], device 3: HDMI 0 [HDMI 0] Subdevices: 1/1 Subdevice #0: subdevice #0 Result of aplay -L: default Playback/recording through the PulseAudio sound server sysdefault:CARD=PCH HDA Intel PCH, ALC665 Analog Default Audio Device front:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog Front speakers surround40:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog 4.0 Surround output to Front and Rear speakers surround41:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog 4.1 Surround output to Front, Rear and Subwoofer speakers surround50:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog 5.0 Surround output to Front, Center and Rear speakers surround51:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog 5.1 Surround output to Front, Center, Rear and Subwoofer speakers surround71:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog 7.1 Surround output to Front, Center, Side, Rear and Woofer speakers iec958:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Digital IEC958 (S/PDIF) Digital Audio Output hdmi:CARD=PCH,DEV=0 HDA Intel PCH, HDMI 0 HDMI Audio Output dmix:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog Direct sample mixing device dmix:CARD=PCH,DEV=1 HDA Intel PCH, ALC665 Digital Direct sample mixing device dmix:CARD=PCH,DEV=3 HDA Intel PCH, HDMI 0 Direct sample mixing device dsnoop:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog Direct sample snooping device dsnoop:CARD=PCH,DEV=1 HDA Intel PCH, ALC665 Digital Direct sample snooping device dsnoop:CARD=PCH,DEV=3 HDA Intel PCH, HDMI 0 Direct sample snooping device hw:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog Direct hardware device without any conversions hw:CARD=PCH,DEV=1 HDA Intel PCH, ALC665 Digital Direct hardware device without any conversions hw:CARD=PCH,DEV=3 HDA Intel PCH, HDMI 0 Direct hardware device without any conversions plughw:CARD=PCH,DEV=0 HDA Intel PCH, ALC665 Analog Hardware device with all software conversions plughw:CARD=PCH,DEV=1 HDA Intel PCH, ALC665 Digital Hardware device with all software conversions plughw:CARD=PCH,DEV=3 HDA Intel PCH, HDMI 0 Hardware device with all software conversions

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• Improving in the MonoDevelop user interface

  <b>Food For Monkeys:</b> "In the past weeks (actually, months) I've been doing some changes in the MonoDevelop GUI to make it more functional and better looking. Here is the result:"

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• How to create a simple adf dashboard application with EJB 3.0

  - by Rodrigues, Raphael

  In this month's Oracle Magazine, Frank Nimphius wrote a very good article about an Oracle ADF Faces dashboard application to support persistent user personalization. You can read this entire article clicking here. The idea in this article is to extend the dashboard application. My idea here is to create a similar dashboard application, but instead ADF BC model layer, I'm intending to use EJB3.0. There are just a one small trick here and I'll show you. I'm using the HR usual oracle schema. The steps are: 1. Create a ADF Fusion Application with EJB as a layer model 2. Generate the entities from table (I'm using Department and Employees only) 3. Create a new Session Bean. I called it: HRSessionEJB 4. Create a new method like that: public List getAllDepartmentsHavingEmployees(){ JpaEntityManager jpaEntityManager = (JpaEntityManager)em.getDelegate(); Query query = jpaEntityManager.createNamedQuery("Departments.allDepartmentsHavingEmployees"); JavaBeanResult.setQueryResultClass(query, AggregatedDepartment.class); return query.getResultList(); } 5. In the Departments entity, create a new native query annotation: @Entity @NamedQueries( { @NamedQuery(name = "Departments.findAll", query = "select o from Departments o") }) @NamedNativeQueries({ @NamedNativeQuery(name="Departments.allDepartmentsHavingEmployees", query = "select e.department_id, d.department_name , sum(e.salary), avg(e.salary) , max(e.salary), min(e.salary) from departments d , employees e where d.department_id = e.department_id group by e.department_id, d.department_name")}) public class Departments implements Serializable {...} 6. Create a new POJO called AggregatedDepartment: package oramag.sample.dashboard.model; import java.io.Serializable; import java.math.BigDecimal; public class AggregatedDepartment implements Serializable{ @SuppressWarnings("compatibility:5167698678781240729") private static final long serialVersionUID = 1L; private BigDecimal departmentId; private String departmentName; private BigDecimal sum; private BigDecimal avg; private BigDecimal max; private BigDecimal min; public AggregatedDepartment() { super(); } public AggregatedDepartment(BigDecimal departmentId, String departmentName, BigDecimal sum, BigDecimal avg, BigDecimal max, BigDecimal min) { super(); this.departmentId = departmentId; this.departmentName = departmentName; this.sum = sum; this.avg = avg; this.max = max; this.min = min; } public void setDepartmentId(BigDecimal departmentId) { this.departmentId = departmentId; } public BigDecimal getDepartmentId() { return departmentId; } public void setDepartmentName(String departmentName) { this.departmentName = departmentName; } public String getDepartmentName() { return departmentName; } public void setSum(BigDecimal sum) { this.sum = sum; } public BigDecimal getSum() { return sum; } public void setAvg(BigDecimal avg) { this.avg = avg; } public BigDecimal getAvg() { return avg; } public void setMax(BigDecimal max) { this.max = max; } public BigDecimal getMax() { return max; } public void setMin(BigDecimal min) { this.min = min; } public BigDecimal getMin() { return min; } } 7. Create the util java class called JavaBeanResult. The function of this class is to configure a native SQL query to return POJOs in a single line of code using the utility class. Credits: http://onpersistence.blogspot.com.br/2010/07/eclipselink-jpa-native-constructor.html package oramag.sample.dashboard.model.util; /******************************************************************************* * Copyright (c) 2010 Oracle. All rights reserved. * This program and the accompanying materials are made available under the * terms of the Eclipse Public License v1.0 and Eclipse Distribution License v. 1.0 * which accompanies this distribution. * The Eclipse Public License is available at http://www.eclipse.org/legal/epl-v10.html * and the Eclipse Distribution License is available at * http://www.eclipse.org/org/documents/edl-v10.php. * * @author shsmith ******************************************************************************/ import java.lang.reflect.Constructor; import java.lang.reflect.InvocationTargetException; import java.util.ArrayList; import java.util.List; import javax.persistence.Query; import org.eclipse.persistence.exceptions.ConversionException; import org.eclipse.persistence.internal.helper.ConversionManager; import org.eclipse.persistence.internal.sessions.AbstractRecord; import org.eclipse.persistence.internal.sessions.AbstractSession; import org.eclipse.persistence.jpa.JpaHelper; import org.eclipse.persistence.queries.DatabaseQuery; import org.eclipse.persistence.queries.QueryRedirector; import org.eclipse.persistence.sessions.Record; import org.eclipse.persistence.sessions.Session; /*** * This class is a simple query redirector that intercepts the result of a * native query and builds an instance of the specified JavaBean class from each * result row. The order of the selected columns musts match the JavaBean class * constructor arguments order. * * To configure a JavaBeanResult on a native SQL query use: * JavaBeanResult.setQueryResultClass(query, SomeBeanClass.class); * where query is either a JPA SQL Query or native EclipseLink DatabaseQuery. * * @author shsmith * */ public final class JavaBeanResult implements QueryRedirector { private static final long serialVersionUID = 3025874987115503731L; protected Class resultClass; public static void setQueryResultClass(Query query, Class resultClass) { JavaBeanResult javaBeanResult = new JavaBeanResult(resultClass); DatabaseQuery databaseQuery = JpaHelper.getDatabaseQuery(query); databaseQuery.setRedirector(javaBeanResult); } public static void setQueryResultClass(DatabaseQuery query, Class resultClass) { JavaBeanResult javaBeanResult = new JavaBeanResult(resultClass); query.setRedirector(javaBeanResult); } protected JavaBeanResult(Class resultClass) { this.resultClass = resultClass; } @SuppressWarnings("unchecked") public Object invokeQuery(DatabaseQuery query, Record arguments, Session session) { List results = new ArrayList(); try { Constructor[] constructors = resultClass.getDeclaredConstructors(); Constructor javaBeanClassConstructor = null; // (Constructor) resultClass.getDeclaredConstructors()[0]; Class[] constructorParameterTypes = null; // javaBeanClassConstructor.getParameterTypes(); List rows = (List) query.execute( (AbstractSession) session, (AbstractRecord) arguments); for (Object[] columns : rows) { boolean found = false; for (Constructor constructor : constructors) { javaBeanClassConstructor = constructor; constructorParameterTypes = javaBeanClassConstructor.getParameterTypes(); if (columns.length == constructorParameterTypes.length) { found = true; break; } // if (columns.length != constructorParameterTypes.length) { // throw new ColumnParameterNumberMismatchException( // resultClass); // } } if (!found) throw new ColumnParameterNumberMismatchException( resultClass); Object[] constructorArgs = new Object[constructorParameterTypes.length]; for (int j = 0; j < columns.length; j++) { Object columnValue = columns[j]; Class parameterType = constructorParameterTypes[j]; // convert the column value to the correct type--if possible constructorArgs[j] = ConversionManager.getDefaultManager() .convertObject(columnValue, parameterType); } results.add(javaBeanClassConstructor.newInstance(constructorArgs)); } } catch (ConversionException e) { throw new ColumnParameterMismatchException(e); } catch (IllegalArgumentException e) { throw new ColumnParameterMismatchException(e); } catch (InstantiationException e) { throw new ColumnParameterMismatchException(e); } catch (IllegalAccessException e) { throw new ColumnParameterMismatchException(e); } catch (InvocationTargetException e) { throw new ColumnParameterMismatchException(e); } return results; } public final class ColumnParameterMismatchException extends RuntimeException { private static final long serialVersionUID = 4752000720859502868L; public ColumnParameterMismatchException(Throwable t) { super( "Exception while processing query results-ensure column order matches constructor parameter order", t); } } public final class ColumnParameterNumberMismatchException extends RuntimeException { private static final long serialVersionUID = 1776794744797667755L; public ColumnParameterNumberMismatchException(Class clazz) { super( "Number of selected columns does not match number of constructor arguments for: " + clazz.getName()); } } } 8. Create the DataControl and a jsf or jspx page 9. Drag allDepartmentsHavingEmployees from DataControl and drop in your page 10. Choose Graph > Type: Bar (Normal) > any layout 11. In the wizard screen, Bars label, adds: sum, avg, max, min. In the X Axis label, adds: departmentName, and click in OK button 12. Run the page, the result is showed below: You can download the workspace here . It was using the latest jdeveloper version 11.1.2.2.

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• Health Check: Mandriva

  <b>The H Open:</b> "Mandriva began life in July 1998 as Linux Mandrake in France in Gael Duval's bedroom after he ported a KDE 1.0 desktop onto Red Hat Linux 5.1, uploaded the result onto two FTP servers, went away on holiday, and came back to find that he had a popular and successful Linux distribution on his hands."

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• SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

  - by Brian

  Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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• Google Search Engine Optimization Advice That Works

  Getting some basic Google search engine optimization advice is your first step before choosing the right linking strategies. A mastery of how Google works will likely result in a successful SEO campaign through obtaining a high rank on the search engine lists.

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• Considerations Before Hiring Logo Design Services

  These days, hiring a logo design service is not easy. Just enter a keyword "logo design" in a search engine and you will see thousands of result pages full of online logo design services. Certainly, ... [Author: Gisselle Gloria - Web Design and Development - October 05, 2009]

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• Windows Azure Use Case: High-Performance Computing (HPC)

  - by BuckWoody

  This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: High-Performance Computing (also called Technical Computing) at its most simplistic is a layout of computer workloads where a “head node” accepts work requests, and parses them out to “worker nodes'”. This is useful in cases such as scientific simulations, drug research, MatLab work and where other large compute loads are required. It’s not the immediate-result type computing many are used to; instead, a “job” or group of work requests is sent to a cluster of computers and the worker nodes work on individual parts of the calculations and return the work to the scheduler or head node for the requestor in a batch-request fashion. This is typical to the way that many mainframe computing use-cases work. You can use commodity-based computers to create an HPC Cluster, such as the Linux application called Beowulf, and Microsoft has a server product for HPC using standard computers, called the Windows Compute Cluster that you can read more about here. The issue with HPC (from any vendor) that some organization have is the amount of compute nodes they need. Having too many results in excess infrastructure, including computers, buildings, storage, heat and so on. Having too few means that the work is slower, and takes longer to return a result to the calling application. Unless there is a consistent level of work requested, predicting the number of nodes is problematic. Implementation: Recently, Microsoft announced an internal partnership between the HPC group (Now called the Technical Computing Group) and Windows Azure. You now have two options for implementing an HPC environment using Windows. You can extend the current infrastructure you have for HPC by adding in Compute Nodes in Windows Azure, using a “Broker Node”.  You can then purchase time for adding machines, and then stop paying for them when the work is completed. This is a common pattern in groups that have a constant need for HPC, but need to “burst” that load count under certain conditions. The second option is to install only a Head Node and a Broker Node onsite, and host all Compute Nodes in Windows Azure. This is often the pattern for organizations that need HPC on a scheduled and periodic basis, such as financial analysis or actuarial table calculations. References: Blog entry on Hybrid HPC with Windows Azure: http://blogs.msdn.com/b/ignitionshowcase/archive/2010/12/13/high-performance-computing-on-premise-and-in-the-windows-azure-cloud.aspx  Links for further research on HPC, includes Windows Azure information: http://blogs.msdn.com/b/ncdevguy/archive/2011/02/16/handy-links-for-hpc-and-azure.aspx 

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• IBM System x3850 X5 TPC-H Benchmark

  - by jchang

  IBM just published a TPC-H SF 1000 result for their x3850 X5 , 4-way Xeon 7560 system featuring a special MAX5 memory expansion board to support 1.5TB memory. In Dec 2010, IBM also published a TPC-H SF1000 for their Power 780 system, 8-way, quad-core, (4 logical processors per physical core). In Feb 2011, Ingres published a TPC-H SF 100 on a 2-way Xeon 5680 for their VectorWise column-store engine (plus enhancements for memory architecture, SIMD and compression). The figure table below shows TPC-H...(read more)

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• Exam 71-513: TS: Windows Communication Foundation Development with Microsoft .NET Framework 4

  - by Ricardo Peres

  Just took the 70-513 exam. Here are some thoughts: 84 questions 240 minutes total time Lots of questions on transactions Lots of questions on sessions and callbacks Some questions on scripting (jQuery) Some questions on throttling Absolutely no questions on interception As for the other exams, I still don't know the result, but I think I may have passed...

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• July, the 31 Days of SQL Server DMO’s – Day 29 (sys.dm_os_buffer_descriptors)

  - by Tamarick Hill

  The sys.dm_os_buffer_descriptors Dynamic Management View gives you a look into the data pages that are currently in your SQL Server buffer pool. Just in case you are not familiar with some of the internals to SQL Server and how the engine works, SQL Server only works with objects that are in memory (buffer pool). When an object such as a table needs to be read and it does not exist in the buffer pool, SQL Server will read (copy) the necessary data page(s) from disk into the buffer pool and cache it. Caching takes place so that it can be reused again and prevents the need of expensive physical reads. To better illustrate this DMV, lets query it against our AdventureWorks2012 database and view the result set. SELECT * FROM sys.dm_os_buffer_descriptors WHERE database_id = db_id('AdventureWorks2012') The first column returned from this result set is the database_id column which identifies the specific database for a given row. The file_id column represents the file that a particular buffer descriptor belongs to. The page_id column represents the ID for the data page within the buffer. The page_level column represents the index level of the data page. Next we have the allocation_unit_id column which identifies a unique allocation unit. An allocation unit is basically a set of data pages. The page_type column tells us exactly what type of page is in the buffer pool. From my screen shot above you see I have 3 distinct type of Pages in my buffer pool, Index, Data, and IAM pages. Index pages are pages that are used to build the Root and Intermediate levels of a B-Tree. A Data page would represent the actual leaf pages of a clustered index which contain the actual data for the table. Without getting into too much detail, an IAM page is Index Allocation Map page which track GAM (Global Allocation Map) pages which in turn track extents on your system. The row_count column details how many data rows are present on a given page. The free_space_in_bytes tells you how much of a given data page is still available, remember pages are 8K in size. The is_modified signifies whether or not a page has been changed since it has been read into memory, .ie a dirty page. The numa_node column represents the Nonuniform memory access node for the buffer. Lastly is the read_microsec column which tells you how many microseconds it took for a data page to be read (copied) into the buffer pool. This is a great DMV for use when you are tracking down a memory issue or if you just want to have a look at what type of pages are currently in your buffer pool. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms173442.aspx Follow me on Twitter @PrimeTimeDBA

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• Idea to develop a caching server between IIS and SQL Server

  - by John

  I work on a few high traffic websites that all share the same database and that are all heavily database driven. Our SQL server is max-ed out and, although we have already implemented many changes that have helped but the server is still working too hard. We employ some caching in our website but the type of queries we use negate using SQL dependency caching. We tried SQL replication to try and kind of load balance but that didn't prove very successful because the replication process is quite demanding on the servers too and it needed to be done frequently as it is important that data is up to date. We do use a Varnish web caching server (Linux based) to take a bit of the load off both the web and database server but as a lot of the sites are customised based on the user we can only do so much. Anyway, the reason for this question... Varnish gave me an idea for a possible application that might help in this situation. Just like Varnish sits between a web browser and the web server and caches response from the web server, I was wondering about the possibility of creating something that sits between the web server and the database server. Imagine that all SQL queries go through this SQL caching server. If it's a first time query then it will get recorded, and the result requested from the SQL server and stored locally on the cache server. If it's a repeat request within a set time then the result gets retrieved from the local copy without the query being sent to the SQL server. The caching server could also take advantage of SQL dependency caching notifications. This seems like a good idea in theory. There's still the same amount of data moving back and forward from the web server, but the SQL server is relieved of the work of processing the repeat queries. I wonder about how difficult it would be to build a service that sort of emulates requests and responses from SQL server, whether SQL server's own caching is doing enough of this already that this wouldn't be a benefit, or even if someone has done this before and I haven't found it? I would welcome any feedback or any references to any relevant projects.

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• NEC Corporation uPD720200 USB 3.0 controller doesn't run at full speed

  - by Radek Zyskowski

  I have fresh install of Ubuntu 10.10. I have external HD on USB 3.0. Trying to connect this via PCI Express NEC controller. dmesg: [ 8966.820078] usb 6-3: new high speed USB device using xhci_hcd and address 0 [ 8966.839831] xhci_hcd 0000:02:00.0: WARN: short transfer on control ep [ 8966.840580] xhci_hcd 0000:02:00.0: WARN: short transfer on control ep [ 8966.841329] xhci_hcd 0000:02:00.0: WARN: short transfer on control ep [ 8966.842079] xhci_hcd 0000:02:00.0: WARN: short transfer on control ep [ 8966.843343] scsi8 : usb-storage 6-3:1.0 [ 8967.847144] scsi 8:0:0:0: Direct-Access SAMSUNG HD204UI 1AQ1 PQ: 0 ANSI: 5 [ 8967.847589] sd 8:0:0:0: Attached scsi generic sg2 type 0 [ 8967.847923] sd 8:0:0:0: [sdb] 3907029168 512-byte logical blocks: (2.00 TB/1.81 TiB) [ 8967.848341] xhci_hcd 0000:02:00.0: WARN: Stalled endpoint [ 8967.850959] sd 8:0:0:0: [sdb] Write Protect is off [ 8967.850963] sd 8:0:0:0: [sdb] Mode Sense: 23 00 00 00 [ 8967.850966] sd 8:0:0:0: [sdb] Assuming drive cache: write through [ 8967.851818] xhci_hcd 0000:02:00.0: WARN: Stalled endpoint [ 8967.852365] sd 8:0:0:0: [sdb] Assuming drive cache: write through [ 8967.852370] sdb: sdb1 [ 8967.871315] xhci_hcd 0000:02:00.0: WARN: Stalled endpoint [ 8967.871853] sd 8:0:0:0: [sdb] Assuming drive cache: write through [ 8967.871856] sd 8:0:0:0: [sdb] Attached SCSI disk [ 8967.950728] xhci_hcd 0000:02:00.0: WARN: Stalled endpoint [ 8967.951355] sd 8:0:0:0: [sdb] Sense Key : Recovered Error [current] [descriptor] [ 8967.951361] Descriptor sense data with sense descriptors (in hex): [ 8967.951363] 72 01 04 1d 00 00 00 0e 09 0c 00 00 00 00 00 00 [ 8967.951375] 00 00 00 00 00 50 [ 8967.951380] sd 8:0:0:0: [sdb] ASC=0x4 ASCQ=0x1d [ 8968.790076] xhci_hcd 0000:02:00.0: HC died; cleaning up [ 8968.790076] usb 6-3: USB disconnect, address 2 [ 8999.008554] scsi 8:0:0:0: [sdb] Unhandled error code [ 8999.008558] scsi 8:0:0:0: [sdb] Result: hostbyte=DID_TIME_OUT driverbyte=DRIVER_OK [ 8999.008562] scsi 8:0:0:0: [sdb] CDB: Read(10): 28 00 74 70 97 39 00 00 3e 00 [ 8999.008573] end_request: I/O error, dev sdb, sector 1953535801 [ 8999.008578] Buffer I/O error on device sdb1, logical block 1953535738 [ 8999.008582] Buffer I/O error on device sdb1, logical block 1953535739 [ 8999.008585] Buffer I/O error on device sdb1, logical block 1953535740 [ 8999.008589] Buffer I/O error on device sdb1, logical block 1953535741 [ 8999.008592] Buffer I/O error on device sdb1, logical block 1953535742 [ 8999.008595] Buffer I/O error on device sdb1, logical block 1953535743 [ 8999.008600] Buffer I/O error on device sdb1, logical block 1953535744 [ 8999.008603] Buffer I/O error on device sdb1, logical block 1953535745 [ 8999.008606] Buffer I/O error on device sdb1, logical block 1953535746 [ 8999.008609] Buffer I/O error on device sdb1, logical block 1953535747 [ 8999.008642] scsi 8:0:0:0: rejecting I/O to offline device [ 8999.008747] scsi 8:0:0:0: [sdb] Unhandled error code [ 8999.008749] scsi 8:0:0:0: [sdb] Result: hostbyte=DID_NO_CONNECT driverbyte=DRIVER_OK [ 8999.008752] scsi 8:0:0:0: [sdb] CDB: Read(10): 28 00 74 70 97 77 00 00 3e 00 [ 8999.008760] end_request: I/O error, dev sdb, sector 1953535863 sudo lspci -v 2:00.0 USB Controller: NEC Corporation uPD720200 USB 3.0 Host Controller (rev 03) (prog-if 30) Physical Slot: 32 Flags: bus master, fast devsel, latency 0, IRQ 16 Memory at fe9fe000 (64-bit, non-prefetchable) [size=8K] Capabilities: [50] Power Management version 3 Capabilities: [70] MSI: Enable- Count=1/8 Maskable- 64bit+ Capabilities: [90] MSI-X: Enable- Count=8 Masked- Capabilities: [a0] Express Endpoint, MSI 00 Capabilities: [100] Advanced Error Reporting Capabilities: [140] Device Serial Number ff-ff-ff-ff-ff-ff-ff-ff Capabilities: [150] #18 Kernel driver in use: xhci_hcd Kernel modules: xhci-hcd If I try to put into this controller any USB 2.0, it works fine. But USB 3.0 nope. Any idea?

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• Announcing SO-Aware Test Workbench

  - by gsusx

  Yesterday was a big day for Tellago Studios . After a few months hands down working, we announced the release of the SO-Aware Test Workbench tool which brings sophisticated performance testing and test visualization capabilities to theWCF world. This work has been the result of the feedback received by many of our SO-Aware and Tellago customers in terms of how to improve the WCF testing. More importantly, with the SO-Aware Test Workbench we are trying to address what has been one of the biggest challenges...(read more)

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• SQL SERVER – Introduction to CUME_DIST – Analytic Functions Introduced in SQL Server 2012

  - by pinaldave

  This blog post is written in response to the T-SQL Tuesday post of Prox ‘n’ Funx. This is a very interesting subject. By the way Brad Schulz is my favorite guy when it is about blogging. I respect him as well learn a lot from him. Everybody is writing something new his subject, I decided to start SQL Server 2012 analytic functions series. SQL Server 2012 introduces new analytical function CUME_DIST(). This function provides cumulative distribution value. It will be very difficult to explain this in words so I will attempt small example to explain you this function. Instead of creating new table, I will be using AdventureWorks sample database as most of the developer uses that for experiment. Let us fun following query. USE AdventureWorks GO SELECT SalesOrderID, OrderQty, CUME_DIST() OVER(ORDER BY SalesOrderID) AS CDist FROM Sales.SalesOrderDetail WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY CDist DESC GO Above query will give us following result. Now let us understand what is the formula behind CUME_DIST and why the values in SalesOrderID = 43670 are 1. Let us take more example and be clear about why the values in SalesOrderID = 43667 are 0.5. Now let us enhence the same example and use PARTITION BY into the OVER clause and see the results. Run following query in SQL Server 2012. USE AdventureWorks GO SELECT SalesOrderID, OrderQty, ProductID, CUME_DIST() OVER(PARTITION BY SalesOrderID ORDER BY ProductID ) AS CDist FROM Sales.SalesOrderDetail s WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY s.SalesOrderID DESC, CDist DESC GO Now let us see the result of this query. We are have changed the ORDER BY clause as well partitioning by SalesOrderID. You can see that CUME_DIST() function provides us different results. Additionally now we see value 1 multiple times. As we are using partitioning for each group of SalesOrderID we get the CUME_DIST() value. CUME_DIST() was long awaited Analytical function and I am glad to see it in SQL Server 2012. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Who Do You Turn To for Your Consumer Goods Sales and Marketing Needs

  - by ruth.donohue

  As a sales or marketing executive, you want the best software for managing your marketing, demand generation, trade promotion, customer/volume planning, and retail execution/monitoring activities and analysis. However, working with niche software vendors can result in a very disjointed user and support experience. It would be ideal to have just one end-to-end solution that could manage and optimize each of these processes...but is that just wishful thinking? Read this Gartner article to find out more!

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• Search Engine Optimization - Use of META Tag in Search Engine Marketing

  Want your WEBPAGE to land in the 1st PAGES of Google and Yahoo search engines? Then, make use of this powerful META TAG in your webpage/s, and you will have the result you have been aching for ages.

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• SQL SERVER – Weekly Series – Memory Lane – #048

  - by Pinal Dave

  Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Order of Result Set of SELECT Statement on Clustered Indexed Table When ORDER BY is Not Used Above theory is true in most of the cases. However SQL Server does not use that logic when returning the resultset. SQL Server always returns the resultset which it can return fastest.In most of the cases the resultset which can be returned fastest is the resultset which is returned using clustered index. Effect of TRANSACTION on Local Variable – After ROLLBACK and After COMMIT One of the Jr. Developer asked me this question (What will be the Effect of TRANSACTION on Local Variable – After ROLLBACK and After COMMIT?) while I was rushing to an important meeting. I was getting late so I asked him to talk with his Application Tech Lead. When I came back from meeting both of them were looking for me. They said they are confused. I quickly wrote down following example for them. 2008 SQL SERVER – Guidelines and Coding Standards Complete List Download Coding standards and guidelines are very important for any developer on the path of a successful career. A coding standard is a set of guidelines, rules and regulations on how to write code. Coding standards should be flexible enough or should take care of the situation where they should not prevent best practices for coding. They are basically the guidelines that one should follow for better understanding. Download Guidelines and Coding Standards complete List Download Get Answer in Float When Dividing of Two Integer Many times we have requirements of some calculations amongst different fields in Tables. One of the software developers here was trying to calculate some fields having integer values and divide it which gave incorrect results in integer where accurate results including decimals was expected. Puzzle – Computed Columns Datatype Explanation SQL Server automatically does a cast to the data type having the highest precedence. So the result of INT and INT will be INT, but INT and FLOAT will be FLOAT because FLOAT has a higher precedence. If you want a different data type, you need to do an EXPLICIT cast. Renaming SP is Not Good Idea – Renaming Stored Procedure Does Not Update sys.procedures I have written many articles about renaming a tables, columns and procedures SQL SERVER – How to Rename a Column Name or Table Name, here I found something interesting about renaming the stored procedures and felt like sharing it with you all. The interesting fact is that when we rename a stored procedure using SP_Rename command, the Stored Procedure is successfully renamed. But when we try to test the procedure using sp_helptext, the procedure will be having the old name instead of new names. 2009 Insert Values of Stored Procedure in Table – Use Table Valued Function It is clear from the result set that , where I have converted stored procedure logic into the table valued function, is much better in terms of logic as it saves a large number of operations. However, this option should be used carefully. The performance of the stored procedure is “usually” better than that of functions. Interesting Observation – Index on Index View Used in Similar Query Recently, I was working on an optimization project for one of the largest organizations. While working on one of the queries, we came across a very interesting observation. We found that there was a query on the base table and when the query was run, it used the index, which did not exist in the base table. On careful examination, we found that the query was using the index that was on another view. This was very interesting as I have personally never experienced a scenario like this. In simple words, “Query on the base table can use the index created on the indexed view of the same base table.” Interesting Observation – Execution Plan and Results of Aggregate Concatenation Queries Working with SQL Server has never seemed to be monotonous – no matter how long one has worked with it. Quite often, I come across some excellent comments that I feel like acknowledging them as blog posts. Recently, I wrote an article on SQL SERVER – Execution Plan and Results of Aggregate Concatenation Queries Depend Upon Expression Location, which is well received in the community. 2010 I encourage all of you to go through complete series and write your own on the subject. If you write an article and send it to me, I will publish it on this blog with due credit to you. If you write on your own blog, I will update this blog post pointing to your blog post. SQL SERVER – ORDER BY Does Not Work – Limitation of the View 1 SQL SERVER – Adding Column is Expensive by Joining Table Outside View – Limitation of the View 2 SQL SERVER – Index Created on View not Used Often – Limitation of the View 3 SQL SERVER – SELECT * and Adding Column Issue in View – Limitation of the View 4 SQL SERVER – COUNT(*) Not Allowed but COUNT_BIG(*) Allowed – Limitation of the View 5 SQL SERVER – UNION Not Allowed but OR Allowed in Index View – Limitation of the View 6 SQL SERVER – Cross Database Queries Not Allowed in Indexed View – Limitation of the View 7 SQL SERVER – Outer Join Not Allowed in Indexed Views – Limitation of the View 8 SQL SERVER – SELF JOIN Not Allowed in Indexed View – Limitation of the View 9 SQL SERVER – Keywords View Definition Must Not Contain for Indexed View – Limitation of the View 10 SQL SERVER – View Over the View Not Possible with Index View – Limitations of the View 11 2011 Startup Parameters Easy to Configure If you are a regular reader of this blog, you must be aware that I have written about SQL Server Denali recently. Here is the quickest way to reach into the screen where we can change the startup parameters. Go to SQL Server Configuration Manager >> SQL Server Services >> Right Click on the Server >> Properties >> Startup Parameters 2012 Validating Unique Columnname Across Whole Database I sometimes come across very strange requirements and often I do not receive a proper explanation of the same. Here is the one of those examples. For example “Our business requirement is when we add new column we want it unique across current database.” Read the solution to this strange request in this blog post. Excel Losing Decimal Values When Value Pasted from SSMS ResultSet It is very common when users are coping the resultset to Excel, the floating point or decimals are missed. The solution is very much simple and it requires a small adjustment in the Excel. By default Excel is very smart and when it detects the value which is getting pasted is numeric it changes the column format to accommodate that. Basic Calculation and PEMDAS Order of Operation Read this interesting blog post for fantastic conversation about the subject. Copy Column Headers from Resultset – SQL in Sixty Seconds #027 – Video http://www.youtube.com/watch?v=x_-3tLqTRv0 Delete From Multiple Table – Update Multiple Table in Single Statement There are two questions which I get every single day multiple times. In my gmail, I have created standard canned reply for them. Let us see the questions here. I want to delete from multiple table in a single statement how will I do it? I want to update multiple table in a single statement how will I do it? Read the answer in the blog post. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• What is duplicate content and how can I avoid being penalized for it on my site?

  - by danlefree

  This is a general, community wiki question regarding duplicate content. If your question was closed as a duplicate of this question and you feel that the information provided here does not provide a sufficient answer, please open a discussion on Pro Webmasters Meta. What does Google consider to be duplicate content? Will the way I am presenting my content result in a duplicate content penalty? How can I avoid having my site's content treated as duplicate content?

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• Single Instance of Child Forms in MDI Applications

  - by Akshay Deep Lamba

  In MDI application we can have multiple forms and can work with multiple forms i.e. MDI childs at a time but while developing applications we don't pay attention to the minute details of memory management. Take this as an example, when we develop application say preferably an MDI application, we have multiple child forms inside one parent form. On MDI parent form we would like to have menu strip and tab strip which in turn calls other forms which build the other parts of the application. This also makes our application looks pretty and eye-catching (not much actually). Now on a first go when a user clicks a menu item or a button on a tab strip an application initialize a new instance of a form and shows it to the user inside the MDI parent, if a user again clicks the same button the application creates another new instance for the form and presents it to the user, this will result in the un-necessary usage of the memory. Therefore, if you wish to have your application to prevent generating new instances of the forms then use the below method which will first check if the the form is visible among the list of all the child forms and then compare their types, if the form types matches with the form we are trying to initialize then the form will get activated or we can say it will be bring to front else it will be initialize and set visible to the user in the MDI parent window. The method we are using: private bool CheckForDuplicateForm(Form newForm) { bool bValue = false; foreach (Form frm in this.MdiChildren) { if (frm.GetType() == newForm.GetType()) { frm.Activate(); bValue = true; } } return bValue; } Usage: First we need to initialize the form using the NEW keyword ReportForm ReportForm = new ReportForm(); We can now check if there is another form present in the MDI parent. Here, we will use the above method to check the presence of the form and set the result in a bool variable as our function return bool value. bool frmPresent = CheckForDuplicateForm(Reportfrm); Once the above check is done then depending on the value received from the method we can set our form. if (frmPresent) return; else if (!frmPresent) { Reportfrm.MdiParent = this; Reportfrm.Show(); } In the end this is the code you will have at you menu item or tab strip click: ReportForm Reportfrm = new ReportForm(); bool frmPresent = CheckForDuplicateForm(Reportfrm); if (frmPresent) return; else if (!frmPresent) { Reportfrm.MdiParent = this; Reportfrm.Show(); }

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• SQLAuthority News – A Quick Note on @Pluralsight Video – Call Me Maybe Developer Way

  - by pinaldave

  I write a lot about how important learning and training is.  Any of my readers will know that I think the key to success is staying current with your education and taking very opportunity to increase your “tool kit” of skills.  I hope that I have not made the impression that it is all in the employees hands to make sure they are happy and satisfied at their jobs. I also firmly believe that a good boss will make good employees.  A boss who is good at communicating,  and leading, who knows how to nip problem in the bud and allocate resources wisely will have a well-oiled machine.  This means happy employees and a great work environment. It is important to have a healthy work environment because you will not succeed without one.  Successful business will always have the type of environment that fosters creativity and has efficient employees.  A healthy environment doesn’t force employees to produce results, but allows them to progress and create the results themselves. The result of a healthy work environment is that employees will enjoy their work and then work harder.  This can bring the company more revenue, and hopefully the employees will see the result of their hard work in bonuses and raises.  However, money is important but it is certainly secondary – the important part is the dedication of the employees to their work and to their company.  This is the true key to success. Any employee who recognizes this description as their working environment should consider themselves fortunate.  They are allowed to grow and do better, and employees being treated fairly can be a rarity in this world.  One company that I believe adheres to this principle is Pluralsight – as evidenced by this fun video. I have blogged about it earlier. (check out my cameo at 0:37). It was great fun to work with the employees at Pluralsight while making this video.  They are a great bunch and clearly have a great work environment – we wouldn’t have had this much fun if not!  I have to tell you a little bit about making this video.  My wife shot it with her mobile phone, which was certainly a different but exciting experience!  It was hard to get the look of the video right, since I was trying to portray a body builder – this was a little outside of my own personal experience.  I have what I like to call a “healthy” body type, so trying to look extremely fit like some of the other “actors” in this video was a challenge – but I do hope that you all think I succeeded.  All in all, it was great fun to participate in this video and I hope to see my friends at Pluralsight again soon. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology, Video

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• SQL Server SELECT INTO

  - by Derek Dieter

  The most efficient method of copying a result set into a new table is to use the SELECT INTO method. This method also follows a very simple syntax. [/sql] SELECT * INTO dbo.NewTableName FROM dbo.ExistingTable [sql] Once the query above is executed, all the columns and data in the table ExistingTable (along with their datatypes) will be copied into a [...]

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• Asynchronous connectToServer

  - by Pavel Bucek

  Users of JSR-356 – Java API for WebSocket are probably familiar with WebSocketContainer#connectToServer method. This article will be about its usage and improvement which was introduce in recent Tyrus release. WebSocketContainer#connectToServer does what is says, it connects to WebSocketServerEndpoint deployed on some compliant container. It has two or three parameters (depends on which representation of client endpoint are you providing) and returns aSession. Returned Session represents WebSocket connection and you are instantly able to send messages, register MessageHandlers, etc. An issue might appear when you are trying to create responsive user interface and use this method – its execution blocks until Session is created which usually means some container needs to be started, DNS queried, connection created (it’s even more complicated when there is some proxy on the way), etc., so nothing which might be really considered as responsive. Trivial and correct solution is to do this in another thread and monitor the result, but.. why should users do that? :-) Tyrus now provides async* versions of all connectToServer methods, which performs only simple (=fast) check in the same thread and then fires a new one and performs all other tasks there. Return type of these methods is Future<Session>. List of added methods: public Future<Session> asyncConnectToServer(Class<?> annotatedEndpointClass, URI path) public Future<Session> asyncConnectToServer(Class<? extends Endpoint>  endpointClass, ClientEndpointConfig cec, URI path) public Future<Session> asyncConnectToServer(Endpoint endpointInstance, ClientEndpointConfig cec, URI path) public Future<Session> asyncConnectToServer(Object obj, URI path) As you can see, all connectToServer variants have its async* alternative. All these methods do throw DeploymentException, same as synchronous variants, but some of these errors cannot be thrown as a result of the first method call, so you might get it as the cause ofExecutionException thrown when Future<Session>.get() is called. Please let us know if you find these newly added methods useful or if you would like to change something (signature, functionality, …) – you can send us a comment to [email protected] or ping me personally. Related links: https://tyrus.java.net https://java.net/jira/browse/TYRUS/ https://github.com/tyrus-project/tyrus

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• WebCenter Spaces 11g PS2 Template Customization

  - by javier.ductor(at)oracle.com

  Recently, we have been involved in a WebCenter Spaces customization project. Customer sent us a prototype website in HTML, and we had to transform Spaces to set the same look&feel as in the prototype.Protoype:First of all, we downloaded a Virtual Machine with WebCenter Spaces 11g PS2, same version as customer's. The next step was to download ExtendWebCenterSpaces application. This is a webcenter application that customizes several elements of WebCenter Spaces: templates, skins, landing page, etc. jDeveloper configuration is needed, we followed steps described in Extended Guide, this blog was helpful too. . After that, we deployed the application using WebLogic console, we created a new group space and assigned the ExtendedWebCenterSpaces template (portalCentricSiteTemplate) to it. The result was this:As you may see there is a big difference with the prototype, which meant a lot of work to do from our side.So we needed to create a new Spaces template with its skin.Using jDeveloper, we created a new template based on the default template. We removed all menus we did not need and inserted 'include'  tags for header, breadcrumb and footers. Each of these elements was defined in an isolated jspx file.In the beginning, we faced a problem: we had to add code from prototype (in plain HTML) to jspx templates (JSF language). We managed to workaround this issue using 'verbatim' tags with 'CDATA' surrounding HTML code in header, breadcrumb and footers.Once the template was modified, we added css styles to the default skin. So we had some styles from portalCentricSiteTemplate plus styles from customer's prototype.Then, we re-deployed the application, assigned this template to a new group space and checked the result. After testing, we usually found issues, so we had to do some modifications in the application, then it was necessary to re-deploy the application and restart Spaces server. Due to this fact, the testing process takes quite a bit of time.Added to the template and skin customization, we also customized the Landing Page using this application and Members task flow using another application: SpacesTaskflowCustomizationApplication. I will talk about this task flow customization in a future entry.After some issues and workarounds, eventually we managed to get this look&feel in Spaces:P.S. In this customization I was working with Francisco Vega and Jose Antonio Labrada, consultants from Oracle Malaga International Consulting Centre.

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