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  • sqlplus: Running "set lines" and "set pagesize" automatially

    - by katsumii
    This is a followup to my previous entry. Using the full tty real estate with sqlplus (INOUE Katsumi @ Tokyo) 'rlwrap' is widely used for adding 'sqlplus' the history function and command line editing. Here's another but again kludgy implementation. First this is the alias. alias sqlplus="rlwrap -z ~/sqlplus.filter sqlplus" And this is the file content. #!/usr/bin/env perl use lib ($ENV{RLWRAP_FILTERDIR} or "."); use RlwrapFilter; use POSIX qw(:signal_h); use strict; my $filter = new RlwrapFilter; $filter -> prompt_handler(\&prompt); sigprocmask(SIG_UNBLOCK, POSIX::SigSet->new(28)); $SIG{WINCH} = 'winchHandler'; $filter -> run; sub winchHandler { $filter -> input_handler(\&input); sigprocmask(SIG_UNBLOCK, POSIX::SigSet->new(28)); $SIG{WINCH} = 'winchHandler'; $filter -> run; } sub input { $filter -> input_handler(undef); return `resize |sed -n "1s/COLUMNS=/set linesize /p;2s/LINES=/set pagesize /p"` . $_; } sub prompt { if ($_ =~ "SQL> ") { $filter -> input_handler(\&input); $filter -> prompt_handler(undef); } return $_; } I hope I can compare these 2 implementations after testing more and getting some feedbacks.

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  • ZFS for Database Log Files

    - by user12620111
    I've been troubled by drop outs in CPU usage in my application server, characterized by the CPUs suddenly going from close to 90% CPU busy to almost completely CPU idle for a few seconds. Here is an example of a drop out as shown by a snippet of vmstat data taken while the application server is under a heavy workload. # vmstat 1  kthr      memory            page            disk          faults      cpu  r b w   swap  free  re  mf pi po fr de sr s3 s4 s5 s6   in   sy   cs us sy id  1 0 0 130160176 116381952 0 16 0 0 0 0  0  0  0  0  0 207377 117715 203884 70 21 9  12 0 0 130160160 116381936 0 25 0 0 0 0 0  0  0  0  0 200413 117162 197250 70 20 9  11 0 0 130160176 116381920 0 16 0 0 0 0 0  0  1  0  0 203150 119365 200249 72 21 7  8 0 0 130160176 116377808 0 19 0 0 0 0  0  0  0  0  0 169826 96144 165194 56 17 27  0 0 0 130160176 116377800 0 16 0 0 0 0  0  0  0  0  1 10245 9376 9164 2  1 97  0 0 0 130160176 116377792 0 16 0 0 0 0  0  0  0  0  2 15742 12401 14784 4 1 95  0 0 0 130160176 116377776 2 16 0 0 0 0  0  0  1  0  0 19972 17703 19612 6 2 92  14 0 0 130160176 116377696 0 16 0 0 0 0 0  0  0  0  0 202794 116793 199807 71 21 8  9 0 0 130160160 116373584 0 30 0 0 0 0  0  0 18  0  0 203123 117857 198825 69 20 11 This behavior occurred consistently while the application server was processing synthetic transactions: HTTP requests from JMeter running on an external machine. I explored many theories trying to explain the drop outs, including: Unexpected JMeter behavior Network contention Java Garbage Collection Application Server thread pool problems Connection pool problems Database transaction processing Database I/O contention Graphing the CPU %idle led to a breakthrough: Several of the drop outs were 30 seconds apart. With that insight, I went digging through the data again and looking for other outliers that were 30 seconds apart. In the database server statistics, I found spikes in the iostat "asvc_t" (average response time of disk transactions, in milliseconds) for the disk drive that was being used for the database log files. Here is an example:                     extended device statistics     r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 2053.6    0.0 8234.3  0.0  0.2    0.0    0.1   0  24 c3t60080E5...F4F6d0s0     0.0 2162.2    0.0 8652.8  0.0  0.3    0.0    0.1   0  28 c3t60080E5...F4F6d0s0     0.0 1102.5    0.0 10012.8  0.0  4.5    0.0    4.1   0  69 c3t60080E5...F4F6d0s0     0.0   74.0    0.0 7920.6  0.0 10.0    0.0  135.1   0 100 c3t60080E5...F4F6d0s0     0.0  568.7    0.0 6674.0  0.0  6.4    0.0   11.2   0  90 c3t60080E5...F4F6d0s0     0.0 1358.0    0.0 5456.0  0.0  0.6    0.0    0.4   0  55 c3t60080E5...F4F6d0s0     0.0 1314.3    0.0 5285.2  0.0  0.7    0.0    0.5   0  70 c3t60080E5...F4F6d0s0 Here is a little more information about my database configuration: The database and application server were running on two different SPARC servers. Storage for the database was on a storage array connected via 8 gigabit Fibre Channel Data storage and log file were on different physical disk drives Reliable low latency I/O is provided by battery backed NVRAM Highly available: Two Fibre Channel links accessed via MPxIO Two Mirrored cache controllers The log file physical disks were mirrored in the storage device Database log files on a ZFS Filesystem with cutting-edge technologies, such as copy-on-write and end-to-end checksumming Why would I be getting service time spikes in my high-end storage? First, I wanted to verify that the database log disk service time spikes aligned with the application server CPU drop outs, and they did: At first, I guessed that the disk service time spikes might be related to flushing the write through cache on the storage device, but I was unable to validate that theory. After searching the WWW for a while, I decided to try using a separate log device: # zpool add ZFS-db-41 log c3t60080E500017D55C000015C150A9F8A7d0 The ZFS log device is configured in a similar manner as described above: two physical disks mirrored in the storage array. This change to the database storage configuration eliminated the application server CPU drop outs: Here is the zpool configuration: # zpool status ZFS-db-41   pool: ZFS-db-41  state: ONLINE  scan: none requested config:         NAME                                     STATE         ZFS-db-41                                ONLINE           c3t60080E5...F4F6d0  ONLINE         logs           c3t60080E5...F8A7d0  ONLINE Now, the I/O spikes look like this:                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1053.5    0.0 4234.1  0.0  0.8    0.0    0.7   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1131.8    0.0 4555.3  0.0  0.8    0.0    0.7   0  76 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1167.6    0.0 4682.2  0.0  0.7    0.0    0.6   0  74 c3t60080E5...F8A7d0s0     0.0  162.2    0.0 19153.9  0.0  0.7    0.0    4.2   0  12 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1247.2    0.0 4992.6  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0     0.0   41.0    0.0   70.0  0.0  0.1    0.0    1.6   0   2 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1241.3    0.0 4989.3  0.0  0.8    0.0    0.6   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1193.2    0.0 4772.9  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0 We can see the steady flow of 4k writes to the ZIL device from O_SYNC database log file writes. The spikes are from flushing the transaction group. Like almost all problems that I run into, once I thoroughly understand the problem, I find that other people have documented similar experiences. Thanks to all of you who have documented alternative approaches. Saved for another day: now that the problem is obvious, I should try "zfs:zfs_immediate_write_sz" as recommended in the ZFS Evil Tuning Guide. References: The ZFS Intent Log Solaris ZFS, Synchronous Writes and the ZIL Explained ZFS Evil Tuning Guide: Cache Flushes ZFS Evil Tuning Guide: Tuning ZFS for Database Performance

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  • WhatsApp Chat Messenger available for Java ME phones

    - by hinkmond
    If you like sending SMS text messages from your Java ME tech-enabled mobile phone without having to pay carrier charges, then WhatsApp Messenger is for you. See: Don't pay, Use Java ME WhatsApp Here's a quote: Free WhatsApp Messenger Download For S40 Java Phone now Available. The IM chat app whatsapp was earlier targeted on high end/cross-platform mobile phone with support for messaging exchange, SMS messages, send and receive pictures, exchange of videos and audios, share your location with your contacts etc. So, be a cheap-skate. It's OK. You're entitled. As long as you use WhatsApp and Java ME technology, that is. Hinkmond

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  • Managing Custom Series

    - by user702295
    Custom series that have been added should be done with client Defined Prefix, ex. ACME Final Forecast, so they are can be identified as non-standard series.  With that said, it is not always done, so beginning in v7.3.0 there is a new column called Application_Id in the Computed_Fields table.  This is the table that stores the Series information.  Standard Series will have have a prefix similar to COMPUTED_FIELD, while a custom series will have an Application_Id value similar to 9041128B99FC454DB8E8A289E5E8F0C5. So a SQL that will return the list of custom series in your database might look something like this: select computed_title Series_Name, application_id from computed_fields where application_id not like '%COMPUTED_FIELD%' order by 1;

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  • Managing Custom Series

    - by user702295
    Custom series that have been added should be done with client Defined Prefix, ex. ACME Final Forecast, so they are can be identified as non-standard series.  With that said, it is not always done, so beginning in v7.3.0 there is a new column called Application_Id in the Computed_Fields table.  This is the table that stores the Series information.  Standard Series will have have a prefix similar to COMPUTED_FIELD, while a custom series will have an Application_Id value similar to 9041128B99FC454DB8E8A289E5E8F0C5. So a SQL that will return the list of custom series in your database might look something like this: select computed_title Series_Name, application_id from computed_fields where application_id not like '%COMPUTED_FIELD%' order by 1;

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  • Sortable & Filterable PrimeFaces DataTable

    - by Geertjan
    <h:form> <p:dataTable value="#{resultManagedBean.customers}" var="customer"> <p:column id="nameHeader" filterBy="#{customer.name}" sortBy="#{customer.name}"> <f:facet name="header"> <h:outputText value="Name" /> </f:facet> <h:outputText value="#{customer.name}" /> </p:column> <p:column id="cityHeader" filterBy="#{customer.city}" sortBy="#{customer.city}"> <f:facet name="header"> <h:outputText value="City" /> </f:facet> <h:outputText value="#{customer.city}" /> </p:column> </p:dataTable> </h:form> That gives me this: And here's the filter in action: Behind this, I have: import com.mycompany.mavenproject3.entities.Customer; import java.io.Serializable; import java.util.List; import javax.annotation.PostConstruct; import javax.ejb.EJB; import javax.faces.bean.RequestScoped; import javax.inject.Named; @Named(value = "resultManagedBean") @RequestScoped public class ResultManagedBean implements Serializable { @EJB private CustomerSessionBean customerSessionBean; public ResultManagedBean() { } private List<Customer> customers; @PostConstruct public void init(){ customers = customerSessionBean.getCustomers(); } public List<Customer> getCustomers() { return customers; } public void setCustomers(List<Customer> customers) { this.customers = customers; } } And the above refers to the EJB below, which is a standard EJB that I create in all my Java EE 6 demos: import com.mycompany.mavenproject3.entities.Customer; import java.io.Serializable; import java.util.List; import javax.ejb.Stateless; import javax.persistence.EntityManager; import javax.persistence.PersistenceContext; @Stateless public class CustomerSessionBean implements Serializable{ @PersistenceContext EntityManager em; public List getCustomers() { return em.createNamedQuery("Customer.findAll").getResultList(); } } Only problem is that the columns are only sortable after the first time I use the filter.

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  • On-demand Webcast: Java in the Smart Grid

    - by Jacob Lehrbaum
    The Smart Grid is one of the most significant evolutions of our utility infrastructure in recent history. This innovative grid will soon revolutionize how utilities manage and control the energy in our homes--helping utilities reduce energy usage during peak hours, improve overall energy efficiency, and lower your energy bills. If you'd like to learn more about the Smart Grid and the role that Java is poised to play in this important initiative you can check out our on-demand webcast. We'll show you how Java solutions--including Java ME and Java SE for Embedded --can help build devices and infrastructure that take advantage of this new market. As the world's most popular developer language, Java enables you to work with a wide range of developers and provides access to tools and resources to build smarter devices, faster and more affordably.

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  • APEX-Berichte automatisch aktualisieren

    - by carstenczarski
    Einen Bericht auf einer Anwendungsseite in regelmäßigen Abständen zu aktualisieren, ist recht einfach: Seit APEX 4.0 muss man noch nicht einmal JavaScript-Code dafür programmieren; mit einem einfach zu nutzenden Plugin des APEX-Entwicklerteams setzt man das in kürzester Zeit um. In diesem Tipp gehen wir noch etwas weiter: Für eine Tabelle, die eine Spalte mit dem Zeitpunkt der letzten Änderung enthält, wollen wir die zuletzt geänderten Werte hervorheben, so dass man sie leichter erkennen kann.

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  • Capgemini report - Business Cloud: The State of Play Shifts Rapidly

    - by Javier Puerta
    Capgemini has published a recent survey on the state of play of cloud adoption. The report indicates "clear evidence that the business, rather than purely IT, is becoming involved in driving Cloud strategy, and pioneering its use for ‘edge’ growth initiatives."  Ron Tolido, Senior Vice President and Chief Technology Officer of Applications Continental Europe at Capgemini, was one of the keynote speakers at our Exadata & Manageability Partner Community event in Istanbul in March. He is one of the drivers of this survey. Read his article "3 Key Cloud Insights for 2013". You an download the full report here:  "Business Cloud: The State of Play Shifts Rapidly - Fresh Insights into Cloud Adoption Trends"

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  • Webcast WebCenter Content, April 11th, 2012

    - by rituchhibber
    Our next WebCenter Content webcast will be on April 10th, 2012. This WebCast will help you to prepare yourself for the WebCenter Content Certified Implementation Specialist EXAM. Webcast Details: Date Topic Speaker Web Call Details Intercall Details  April 10th                WebCenter Content   Refresh     Course      Markus NeubauerSilburyWebCenter ContentSpecialized Partner Join Webcast Dial-in numbers:CC/SP: 1579222/9221 Time: 12:00 -15:00 CET Break around 13:30 Conference ID/Key: 9819145/1004 For more details, please click here.

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  • Smart Meter Management on the NetBeans Platform

    - by Geertjan
    Netinium® NCC is the operator console for the Netinium® AMM+ platform, a Head End system for multi-vendor smart meter and smart grid infrastructures. The role based NCC provides a uniform operations environment for grid operators and utilities to securely manage millions of smart meters, in-home displays and other smart devices using different types of communication networks such as IP, PLC, GPRS, CDMA and BPL. Based on the NetBeans Platform, the NCC offers the flexibility to easily extend the GUI with new functionality when new devices are added to the system.  For more information visit http://www.netinium.com.

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  • JavaOne Latin America Early Bird Discount: R$300,00 Off

    - by Tori Wieldt
    Learn how to code in Java more efficiently, pick up Java best practices, and participate in world-class networking at JavaOne Latin America—all for R$300,00 less if you register by 16 November. Have you ever wondered how to construct embedded Java applications for next-generation smart devices? Want to profit from client-side solutions using JavaFX, or simply build modern applications in Java 7? Techniques for these and much more are showcased at JavaOne Latin America—and you’re invited! Choose from more than 50 sessions, multiple demos, plus keynotes and hands-on labs. Topics include: Core Java Platform JavaFX and Rich User Experiences Java EE, Web Services, and the Cloud Java ME, Java Embedded, and Java Card Secure Your Place Now—Register now! Para mais informações ou inscrição ligue para (11) 2875-4163.

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  • Profiling NetBeans 7.0 Beta 2 and Reporting Problems

    - by christopher.jones
    With NetBeans 7.0 recently going into Beta 2 phase, now is the time to test it out properly and report issues. The development team has been squashing bugs, including memory issues with the PHP bundle.There are some great new PHP related features in NetBeans 7.0, so you know you want to try it out.If you identify something wrong with NetBeans, please report it following the guidelines http://wiki.netbeans.org/IssueReportingGuidelinesDepending on the issues, data to attach to the report is mentioned on: http://wiki.netbeans.org/FaqLogMessagesFile and http://wiki.netbeans.org/FaqProfileMeNowIf you have a memory issue then a memory dump would also be useful. Run the jmap tool for this. There is some background information on http://wiki.netbeans.org/FaqMemoryDump. Here's how I used it.First I set my environment to match the JDK used by NetBeans. In my case I am using a nightly build so the JDK is in the configuration file under $HOME/netbeans-dev-201102210501:$ egrep netbeans_jdkhome $HOME/netbeans-dev-201102210501/etc/netbeans.conf netbeans_jdkhome="/home/cjones/src/jdk1.6.0_24" $ export JAVA_HOME=/home/cjones/src/jdk1.6.0_24 $ export PATH=$JAVA_HOME/bin:$PATH Next, I found the correct process number to examine:$ ps -ef | egrep 'netbeans|jdk'cjones   23230     1  0 16:07 ?        00:00:00 /bin/bash /home/cjones/netbeans-cjones   23438 23230  2 16:07 ?        00:00:09 /home/cjones/src/jdk1.6.0_24/binFinally I used the parent JDK process as the jmap argument:$ jmap -histo:live 23438 num     #instances         #bytes  class name----------------------------------------------   1:         12075        9028656  [I   2:         49535        6581920  <constMethodKlass>   3:         49535        3964128  <methodKlass>   4:         80256        3840776  <symbolKlass>   5:         36093        3635336  [C   6:          5095        3341312  <constantPoolKlass>   7:          5095        2486016  <instanceKlassKlass>   8:          4325        1961432  <constantPoolCacheKlass>   9:         18729        1763976  [B  10:         59952        1438848  java.util.HashMap$Entry  . . .This histogram memory report will help identify the kind of memory issues you are seeing. It may not be as complete as an often tens of megabyte jmap -dump:live,file=/tmp/nbheap.log 23438 heap dump, but is much more easily attached to a bug report.If you want to keep up to date with NetBeans, nightly builds are at: http://bits.netbeans.org/download/trunk/nightly/latest/zip/

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  • JDK 7 In Action - Learn With Java Tutorials and Developer Guides

    - by sowmya
    At JavaOne 2012, Stuart Marks, Mike Duigou, and Joe Darcy gave a presentation about JDK 7 In Action. Learn more about using JDK 7 features with the help of Java Tutorials and JDK 7 Developer Guides. Links to relevant information are provided below. If you are considering moving to JDK 7 from a previous release, the JDK 7 Release Notes and JDK 7 Adoption Guide are great resources. Project Coin Features Improved Literals * Literals section in Primitive Datatypes topic. * Binary Literals * Underscores in Numeric Literals Strings In Switch * Strings In Switch Diamond * Type Inference for Generic Instance Creation * Type Inference and Instantiation of Generic Classes Multi-catch and Precise Throw * Catching Multiple Exception Types and Rethrowing Exceptions with Improved Type Checking * Catch Blocks Try-with-resources * The try-with-resources Statement NIO.2 File System API * File I/O for information on path, files, change notification, and more * Zip File System Provider * Zip File System Provider * Developing a Custom File System Provider Fork Join Framework * Fork/Join - Sowmya

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  • SAP acquires Sybase

    - by ashutossh.pewekar
    The news of the Sybase acquisition broke yesterday. The questions that immediately come to mind is " Why?" and "Isnt this too expensive ?" One out-of-the-box explanation for this marriage is simply " History repeats itself" It is more than a decade now that another German company acquired an American industry laggard. I am speaking of the Daimler-Chysler merger. It took a decade for the results of that partnership to unfold. Do things move faster in the IT industry? We will wait and watch.

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  • Deploy from NetBeans IDE by Twisting an External Dial

    - by Geertjan
    Via this code in a NetBeans module, i.e., a registered NetBeans ModuleInstall class, you can twist the Tinkerforge Rotary Poti Bricklet to deploy the current application in the IDE: import com.tinkerforge.BrickMaster; import com.tinkerforge.BrickletLCD20x4; import com.tinkerforge.BrickletRotaryPoti; import com.tinkerforge.IPConnection; import javax.swing.Action; import javax.swing.JMenuItem; import org.netbeans.api.project.Project; import org.netbeans.api.project.ProjectUtils; import org.openide.awt.Actions; import org.openide.modules.ModuleInstall; import org.openide.util.Utilities; public class Installer extends ModuleInstall { private static final String HOST = "localhost"; private static final int PORT = 4223; private static final String MASTERBRICKUID = "abc"; private static final String LCDUID = "abc"; private static final String ROTIUID = "abc"; private static IPConnection ipc; private static BrickMaster master = new BrickMaster(MASTERBRICKUID); private static BrickletLCD20x4 lcd = new BrickletLCD20x4(LCDUID); private static BrickletRotaryPoti poti = new BrickletRotaryPoti(ROTIUID); @Override public void restored() { try { ipc = new IPConnection(HOST, PORT); ipc.addDevice(master); ipc.addDevice(lcd); ipc.addDevice(poti); poti.setPositionCallbackPeriod(50); poti.addListener(new BrickletRotaryPoti.PositionListener() { @Override public void position(final short position) { lcd.backlightOn(); lcd.clearDisplay(); final Action runAction = Actions.forID("Project","org.netbeans.modules.project.ui.RunMainProject"); //The action must be invoked from menu item or toolbar button, //see line 147 in org.netbeans.modules.project.ui.actions.LookupSensitiveAction: JMenuItem jmi = new JMenuItem(runAction); //When position is 100 (range is -150 to 150), deploy the app //and print info about the project to the LCD display: if (position == 100) { jmi.doClick(); Project p = Utilities.actionsGlobalContext().lookup(Project.class); lcd.writeLine((short) 0, (short) 0, "Deployed:"); lcd.writeLine((short) 1, (short) 0, ProjectUtils.getInformation(p).getDisplayName()); } else { lcd.writeLine((short) 0, (short) 0, "Position: " + position); } } }); } catch (Exception e) { } } }

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  • Freescale One Box Unboxing (then installing Java SE Embedded technology)

    - by hinkmond
    So, I get a FedEx delivery the other day... "What cool device could be inside this FedEx Overnight Express Large Box?" I was wondering... Could it be a new Linux/ARM target device board, faster than a Raspberry Pi and better than a BeagleBone Black??? Why, yes! Yes, it was a Linux/ARM target device board, faster than anything around! It was a Freescale i.MX6 Sabre Smart Device Board (SDB)! Cool... Quad Core ARM Cortex A9 1GHz with 1GB of RAM. So, cool... I installed the Freescale One Box OpenWRT Linux image onto its SD card and booted it up into Linux. But, wait! One thing was missing... What was it? What could be missing? Why, it had no Java SE Embedded installed on it yet, of course! So, I went to the JDK 7u45 download link. Clicked on "Accept License Agreement", and clicked on "jdk-7u45-linux-arm-vfp-sflt.tar.gz", installed the bad boy, and all was good. Java SE Embedded 7u45 on a Freescale One Box. Nice... Hinkmond

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  • It could be worse....

    - by Darryl Gove
    As "guest" pointed out, in my file I/O test I didn't open the file with O_SYNC, so in fact the time was spent in OS code rather than in disk I/O. It's a straightforward change to add O_SYNC to the open() call, but it's also useful to reduce the iteration count - since the cost per write is much higher: ... #define SIZE 1024 void test_write() { starttime(); int file = open("./test.dat",O_WRONLY|O_CREAT|O_SYNC,S_IWGRP|S_IWOTH|S_IWUSR); ... Running this gave the following results: Time per iteration 0.000065606310 MB/s Time per iteration 2.709711563906 MB/s Time per iteration 0.178590114758 MB/s Yup, disk I/O is way slower than the original I/O calls. However, it's not a very fair comparison since disks get written in large blocks of data and we're deliberately sending a single byte. A fairer result would be to look at the I/O operations per second; which is about 65 - pretty much what I'd expect for this system. It's also interesting to examine at the profiles for the two cases. When the write() was trapping into the OS the profile indicated that all the time was being spent in system. When the data was being written to disk, the time got attributed to sleep. This gives us an indication how to interpret profiles from apps doing I/O. It's the sleep time that indicates disk activity.

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  • Rotating a NetBeans Visual Library Widget

    - by Geertjan
    Trying to create a widget which, when clicked, rotates slightly further on each subsequent click: Above, the bird where the mouse is visible has been clicked a few times and so has rotated a bit further on each click. The code isn't quite right yet and I'm hoping someone will take this code, try it out, and help with a nice solution! public class BirdScene extends Scene {     public BirdScene() {         addChild(new LayerWidget(this));         getActions().addAction(ActionFactory.createAcceptAction(new AcceptProvider() {             public ConnectorState isAcceptable(Widget widget, Point point, Transferable transferable) {                 Image dragImage = getImageFromTransferable(transferable);                 if (dragImage != null) {                     JComponent view = getView();                     Graphics2D g2 = (Graphics2D) view.getGraphics();                     Rectangle visRect = view.getVisibleRect();                     view.paintImmediately(visRect.x, visRect.y, visRect.width, visRect.height);                     g2.drawImage(dragImage,                             AffineTransform.getTranslateInstance(point.getLocation().getX(),                             point.getLocation().getY()),                             null);                     return ConnectorState.ACCEPT;                 } else {                     return ConnectorState.REJECT;                 }             }             public void accept(Widget widget, final Point point, Transferable transferable) {                 addChild(new BirdWidget(getScene(), getImageFromTransferable(transferable), point));             }         }));     }     private Image getImageFromTransferable(Transferable transferable) {         Object o = null;         try {             o = transferable.getTransferData(DataFlavor.imageFlavor);         } catch (IOException ex) {         } catch (UnsupportedFlavorException ex) {         }         return o instanceof Image ? (Image) o : null;     }     private class BirdWidget extends IconNodeWidget {         private int theta = 0;         public BirdWidget(Scene scene, Image imageFromTransferable, Point point) {             super(scene);             setImage(imageFromTransferable);             setPreferredLocation(point);             setCheckClipping(true);             getActions().addAction(ActionFactory.createMoveAction());             getActions().addAction(ActionFactory.createSelectAction(new SelectProvider() {                 public boolean isAimingAllowed(Widget widget, Point localLocation, boolean invertSelection) {                     return true;                 }                 public boolean isSelectionAllowed(Widget widget, Point localLocation, boolean invertSelection) {                     return true;                 }                 public void select(final Widget widget, Point localLocation, boolean invertSelection) {                     theta = (theta + 100) % 360;                     repaint();                     getScene().validate();                 }             }));         }         @Override         public void paintWidget() {             final Image image = getImageWidget().getImage();             Graphics2D g = getGraphics();             g.setRenderingHint(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON);             Rectangle bounds = getClientArea();             AffineTransform newXform = g.getTransform();             int xRot = image.getWidth(null) / 2;             int yRot = image.getWidth(null) / 2;             newXform.rotate(theta * Math.PI / 180, xRot, yRot);             g.setTransform(newXform);             g.drawImage(image, bounds.x, bounds.y, null);         }     } } The problem relates to refreshing the scene after the rotation. But it would help if someone would just take the code above, add it to their own application, try it out, see the problem for yourself, and develop it a bit further!

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  • ARTS Reference Model for Retail

    - by Sanjeev Sharma
    Consider a hypothetical scenario where you have been tasked to set up retail operations for a electronic goods or daily consumables or a luxury brand etc. It is very likely you will be faced with the following questions: What are the essential business capabilities that you must have in place?  What are the essential business activities under-pinning each of the business capabilities, identified in Step 1? What are the set of steps that you need to perform to execute each of the business activities, identified in Step 2? Answers to the above will drive your investments in software and hardware to enable the core retail operations. More importantly, the choices you make in responding to the above questions will several implications in the short-run and in the long-run. In the short-term, you will incur the time and cost of defining your technology requirements, procuring the software/hardware components and getting them up and running. In the long-term, as you grow in operations organically or through M&A, partnerships and franchiser business models  you will invariably need to make more technology investments to manage the greater complexity (scale and scope) of business operations.  "As new software applications, such as time & attendance, labor scheduling, and POS transactions, just to mention a few, are introduced into the store environment, it takes a disproportionate amount of time and effort to integrate them with existing store applications. These integration projects can add up to 50 percent to the time needed to implement a new software application and contribute significantly to the cost of the overall project, particularly if a systems integrator is called in. This has been the reality that all retailers have had to live with over the last two decades. The effect of the environment has not only been to increase costs, but also to limit retailers' ability to implement change and the speed with which they can do so." (excerpt taken from here) Now, one would think a lot of retailers would have already gone through the pain of finding answers to these questions, so why re-invent the wheel? Precisely so, a major effort began almost 17 years ago in the retail industry to make it less expensive and less difficult to deploy new technology in stores and at the retail enterprise level. This effort is called the Association for Retail Technology Standards (ARTS). Without standards such as those defined by ARTS, you would very likely end up experiencing the following: Increased Time and Cost due to resource wastage arising from re-inventing the wheel i.e. re-creating vanilla processes from scratch, and incurring, otherwise avoidable, mistakes and errors by ignoring experience of others Sub-optimal Process Efficiency due to narrow, isolated view of processes thereby ignoring process inter-dependencies i.e. optimizing parts but not the whole, and resulting in lack of transparency and inter-departmental finger-pointing Embracing ARTS standards as a blue-print for establishing or managing or streamlining your retail operations can benefit you in the following ways: Improved Time-to-Market from parity with industry best-practice processes e.g. ARTS, thus avoiding “reinventing the wheel” for common retail processes and focusing more on customizing processes for differentiations, and lowering integration complexity and risk with a standardized vocabulary for exchange between internal and external i.e. partner systems Lower Operating Costs by embracing the ARTS enterprise-wide process reference model for developing and streamlining retail operations holistically instead of a narrow, silo-ed view, and  procuring IT systems in compliance with ARTS thus avoiding IT budget marginalization While parity with industry standards such as ARTS business process model by itself does not create a differentiation, it does however provide a higher starting point for bridging the strategy-execution gap in setting up and improving retail operations.

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  • 12c - Silly little trick with invisibility...

    - by noreply(at)blogger.com (Thomas Kyte)
    This is interesting, if you hide and then unhide a column - it will end up at the "end" of the table.  Consider:ops$tkyte%ORA12CR1> create table t ( a int, b int, c int );Table created.ops$tkyte%ORA12CR1>ops$tkyte%ORA12CR1> desc t; Name                                                  Null?    Type ----------------------------------------------------- -------- ------------------------------------ A                                                              NUMBER(38) B                                                              NUMBER(38) C                                                              NUMBER(38)ops$tkyte%ORA12CR1> alter table t modify (a invisible);Table altered.ops$tkyte%ORA12CR1> alter table t modify (a visible);Table altered.ops$tkyte%ORA12CR1> desc t; Name                                                  Null?    Type ----------------------------------------------------- -------- ------------------------------------ B                                                              NUMBER(38) C                                                              NUMBER(38) A                                                              NUMBER(38)Now, that means you can add a column or shuffle them around.  What if we had just added A to the table and really really wanted A to be first.  My first approach would be "that is what editioning views are great at".  If I couldn't use an editioning view for whatever reason - we could shuffle the columns:ops$tkyte%ORA12CR1> alter table t modify (b invisible);Table altered.ops$tkyte%ORA12CR1> alter table t modify (c invisible);Table altered.ops$tkyte%ORA12CR1> alter table t modify (b visible);Table altered.ops$tkyte%ORA12CR1> alter table t modify (c visible);Table altered.ops$tkyte%ORA12CR1>ops$tkyte%ORA12CR1> desc t; Name                                                  Null?    Type ----------------------------------------------------- -------- ------------------------------------ A                                                              NUMBER(38) B                                                              NUMBER(38) C                                                              NUMBER(38)Note: that could cause some serious invalidations in your database - so make sure you are a) aware of that b) willing to pay that penalty and c) really really really want A to be first in the table!

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  • JGridView (Part 2)

    - by Geertjan
    The second sample in the JGrid download is a picture viewer that needs to be seen to be believed. Here it is, integrated into a NetBeans Platform application (click to enlarge it): When you mouse over the images, they change, showing several different images instantaneously. Here's the explorer view above, mainly making use of code from the sample: public class JGridView extends JScrollPane { @Override public void addNotify() { super.addNotify(); final ExplorerManager em = ExplorerManager.find(this); if (em != null) { final JGrid grid = new JGrid(); Node root = em.getRootContext(); final Node[] nodes = root.getChildren().getNodes(); final PicViewerObject[] pics = new PicViewerObject[nodes.length]; for (int i = 0; i < nodes.length; i++) { Node node = nodes[i]; pics[i] = node.getLookup().lookup(PicViewerObject.class); } grid.getCellRendererManager().setDefaultRenderer(new PicViewerRenderer()); grid.setModel(new DefaultListModel() { @Override public int getSize() { return pics.length; } @Override public Object getElementAt(int i) { return pics[i]; } }); grid.setFixedCellDimension(160); grid.addMouseMotionListener(new MouseAdapter() { int lastIndex = -1; @Override public void mouseMoved(MouseEvent e) { if (lastIndex >= 0) { Object o = grid.getModel().getElementAt(lastIndex); if (o instanceof PicViewerObject) { Rectangle r = grid.getCellBounds(lastIndex); if (r != null && !r.contains(e.getPoint())) { ((PicViewerObject) o).setMarker(false); grid.repaint(r); } } } int index = grid.getCellAt(e.getPoint()); if (index >= 0) { Object o = grid.getModel().getElementAt(index); if (o instanceof PicViewerObject) { Rectangle r = grid.getCellBounds(index); if (r != null) { ((PicViewerObject) o).setFraction(((float) e.getPoint().x - (float) r.x) / (float) r.width); ((PicViewerObject) o).setMarker(true); lastIndex = index; grid.repaint(r); } } } } }); grid.getSelectionModel().addListSelectionListener(new ListSelectionListener() { @Override public void valueChanged(ListSelectionEvent e) { //Somehow compare the selected item //with the list of books and find a matching book: int selectedIndex = grid.getSelectedIndex(); for (int i = 0; i < nodes.length; i++) { int picId = pics[i].getId(); if (selectedIndex == picId) { try { em.setSelectedNodes(new Node[]{nodes[i]}); } catch (PropertyVetoException ex) { Exceptions.printStackTrace(ex); } } } } }); setViewportView(grid); } } } The next step is to create a generic JGridView that will handle any kind of object automatically.

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  • Traditional POS is Dead

    - by David Dorf
    Traditional POS is dead -- I've heard that one before. Here's an excerpt from Joe Skorupa's blog over at RIS where he relayed ten trends that were presented at NRF. 7. Mobile POS signals death of traditional POS. Shoppers don't love self-checkout, but they prefer it to long queues or dealing with associates. Fixed POS is expensive and bulky. Mobile POS frees floor space for other purposes and converts associates from being cashiers to being sales assistants that provide new levels of customer service and incremental basket sales. In addition to unplugging the POS, new alternatives are starting to take hold - thin client, POS as a service, and replacing POS software with e-commerce platforms. I'll grant that in some situations for some retailers there might be an opportunity to to ditch the traditional POS, but for the majority of retailers that's just not practical. Take it from a guy that had to wake up at 3am after every Thanksgiving to monitor POS systems across the US on Black Friday. If a retailer's website goes down on Black Friday, they will take a significant hit. If a retailer's chain-wide POS system goes down on Black Friday, that retailer will cease to exist. Mobile POS works great for Apple because the majority of purchases are one or two big-ticket items that don't involve cash. There's still a traditional POS in every store to fall back on (its just hidden). Try this at home: Choose your favorite e-commerce site and add an item to the cart while timing how long it takes. Now multiply that by 15 to represent the 15 items you might buy at store like Target. The user interface isn't optimized for bulk purchases, and that's how it should be. The webstore and POS are designed for different purposes. Self-checkout is a great addition to POS and so is mobile checkout. But they add capabilities to POS, not replace it. Centralized architectures, even those based in the cloud, are quite viable as long as there's resiliency in the registers. You cannot assume perfect access to the network, so a POS must always be able to sell regardless of connectivity. Clearly the different selling channels should be sharing common functionality. Things like calculating tax, accepting coupons, and processing electronic payments can be shared, usually through a service-oriented architecture. This lowers costs and providers greater consistency, both of which help retailers. On paper these technologies look really good and we should continue to push boundaries, but I'm not ready to call the patient dead just yet.

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  • My JavaOne 2012

    - by Geertjan
    I received a JavaOne speaker invitation for the following sessions and BOFs. Only one involves me on my own: Session ID: CON2987Session Title: Unlocking the Java EE 6 Platform The rest are combo packages, i.e., you get multiple speakers for the price of one.  Sessions and BOFs together with others:  Session ID: BOF4227 (together with Zoran Sevarac)Session Title: Building Smart Java Applications with Neural Networks, Using the Neuroph Framework Session ID: BOF5806 (together with Manfred Riem)Session Title: Doing JSF Development in NetBeans 7.1 Session ID: CON3160 (together with Allan Gregersen and others)Session Title: Dynamic Class Reloading in the Wild with Javeleon Discussion Panels:  Session ID: CON4952 (together with several NetBeans Platform developers)Session Title: NetBeans Platform Panel Discussion Session ID: CON6139 (together with several NetBeans IDE users)Session Title: Lessons Learned in Building Enterprise and Desktop Applications with the NetBeans IDE

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  • Non-blocking I/O using Servlet 3.1: Scalable applications using Java EE 7 (TOTD #188)

    - by arungupta
    Servlet 3.0 allowed asynchronous request processing but only traditional I/O was permitted. This can restrict scalability of your applications. In a typical application, ServletInputStream is read in a while loop. public class TestServlet extends HttpServlet {    protected void doGet(HttpServletRequest request, HttpServletResponse response)         throws IOException, ServletException {     ServletInputStream input = request.getInputStream();       byte[] b = new byte[1024];       int len = -1;       while ((len = input.read(b)) != -1) {          . . .        }   }} If the incoming data is blocking or streamed slower than the server can read then the server thread is waiting for that data. The same can happen if the data is written to ServletOutputStream. This is resolved in Servet 3.1 (JSR 340, to be released as part Java EE 7) by adding event listeners - ReadListener and WriteListener interfaces. These are then registered using ServletInputStream.setReadListener and ServletOutputStream.setWriteListener. The listeners have callback methods that are invoked when the content is available to be read or can be written without blocking. The updated doGet in our case will look like: AsyncContext context = request.startAsync();ServletInputStream input = request.getInputStream();input.setReadListener(new MyReadListener(input, context)); Invoking setXXXListener methods indicate that non-blocking I/O is used instead of the traditional I/O. At most one ReadListener can be registered on ServletIntputStream and similarly at most one WriteListener can be registered on ServletOutputStream. ServletInputStream.isReady and ServletInputStream.isFinished are new methods to check the status of non-blocking I/O read. ServletOutputStream.canWrite is a new method to check if data can be written without blocking.  MyReadListener implementation looks like: @Overridepublic void onDataAvailable() { try { StringBuilder sb = new StringBuilder(); int len = -1; byte b[] = new byte[1024]; while (input.isReady() && (len = input.read(b)) != -1) { String data = new String(b, 0, len); System.out.println("--> " + data); } } catch (IOException ex) { Logger.getLogger(MyReadListener.class.getName()).log(Level.SEVERE, null, ex); }}@Overridepublic void onAllDataRead() { System.out.println("onAllDataRead"); context.complete();}@Overridepublic void onError(Throwable t) { t.printStackTrace(); context.complete();} This implementation has three callbacks: onDataAvailable callback method is called whenever data can be read without blocking onAllDataRead callback method is invoked data for the current request is completely read. onError callback is invoked if there is an error processing the request. Notice, context.complete() is called in onAllDataRead and onError to signal the completion of data read. For now, the first chunk of available data need to be read in the doGet or service method of the Servlet. Rest of the data can be read in a non-blocking way using ReadListener after that. This is going to get cleaned up where all data read can happen in ReadListener only. The sample explained above can be downloaded from here and works with GlassFish 4.0 build 64 and onwards. The slides and a complete re-run of What's new in Servlet 3.1: An Overview session at JavaOne is available here. Here are some more references for you: Java EE 7 Specification Status Servlet Specification Project JSR Expert Group Discussion Archive Servlet 3.1 Javadocs

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