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  • "Best fit" to avoid reuse of object instances in a collection

    - by Simon
    Imagine I have a collection of object instances which represent activities for a user to undertake. Dependent on user attributes, I have to randomly select instances to present activities to the user. For some users, I need to present more activities to them than there are available activities in which case, I want to use the following algorithm. If all available activities have already been presented to the user, then re-select a "used" activity, selecting the earliest presented activity ordered by frequency of use. In other words, try to reduce repetition and where repetition is unavoidable, use the instances which have been repeated less often and were presented furthest back in time. Before I go on to code that algorithm, I wondered if there is some existing pattern I can re-use? [EDIT] "Furthest back in time" is not relevant as I will pass the algorithm an ordered collection of used instances where the first entry is the first presented.

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  • R12.0 Cash Management Consolidated Patch Collection (CPC) And R12.1 Cash Management Recommended Patch Collection (RPC)

    - by user793553
    If you have Oracle E-Business Suite's Cash Management (CE) application installed, you'll want to be sure to install the latest CPC (Consolidated Patch Collection) if you are using a R12.0 version of the apps, or the latest RPC (Recommended Patch Collection) for the R12.1 version of the apps. These collections give you all the fixes currently available for known issues in the specified versions of the application, including all of the latest Root Cause Analysis Fixes (RCAs)! What is an "RPC" (for R12.1 users)? Since the release of 12.1, a number of recommended patches for Oracle Cash Management have been made available as standalone patches to help address important business process issues. Adoption of these patches was highly recommended at the time, but not always implemented, so to further facilitate adoption of these patches, Oracle consolidated them into product-specific Recommended Patch Collections (RPCs) - a collection of recommended patches. They were created by Oracle Development with the following goals in mind: Stability: To address data integrity issues that have been identified by Oracle Development and Oracle Software Support as having the potential to interfere with the normal completion of important business processes (such as, period close, etc.). Root Cause Fixes (RCAs): To make available root cause fixes for known data integrity issues. Compact: To keep the file footprint as small as possible to help facilitate the install process and minimize testing. Granular: To compile the collection of patches based on functional areas, allowing a customer to apply multiple RPCs at once, or in phases (based on individual needs and goals). Where to start ALL R12 Cash Management users (R12.0 and R12.1 users) should start with the following Note on My Oracle Support (MOS): Doc ID 1367845.1: R12: Cash Management Recommended Patch Collections It's a great place for important implementation information about both sets of critical patch collections! For R12.1x users R12.1 users should also take a look at the documents below for even more information about the RPC for the R12.1.x versions of the Cash Management application, and other related available RPCs: Note Number  Title                                                                                                      1489997.1 Master Troubleshooting Guide for CE: Reconciliation & Clearing [VIDEO] 954704.1 EBS: R12.1 Oracle Financials Recommended Patch Collections (RPCs) 1316506.1 R12: Oracle CE: Upgrading from R11i to R12.1: Latest Recommended Patches Patch Wizard Utility While a patch may contain several hundred files, the impact on your system may actually be minimal. Patches contain hard prerequisites that are intended to make a patch work on a very low code baseline. The Patch Wizard Utility will give you a detailed analysis of the patch’s impact on your instance BEFORE it’s applied, so you’ll know exactly what to expect from the application. Please refer to Doc ID 976188.1 for more information on this important utility

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  • Garbage Collection Basics

    - by mikew_co
    Java Is an awesome programming language and platform. One of its better features is automatic garbage collection. Ever wondered how that works? I have written an online web course outlining the basics. Much of what is included has been published before in various white papers and such. However, this is updated for JDK 7 and includes some nice illustrations of the steps involved. Hope you like it. Garbage Collection Basics. A follow-on web course on the G1 garbage collector should follow in a week or so.

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  • Periodically iterating over a collection that's constantly changing

    - by rwmnau
    I have a collection of objects that's constantly changing, and I want to display some information about objects (my application is multi-threaded, and differently threads are constantly submitting requests to modify an object in the collection, so it's unpredictable), and I want to display some information about what's currently in the collection. If I lock the collection, I can iterate over it and get my information without any problems - however, this causes problems with the other threads, since they could have submitted multiple requests to modify the collection in the meantime, and will be stalled. I've thought of a couple ways around this, and I'm looking for any advice. Make a copy of the collection and iterate over it, allowing the original to continue updating in the background. The collection can get large, so this isn't ideal, but it's safe. Iterate over it using a For...Next loop, and catch an IndexOutOfBounds exception if an item is removed from the collection while we're iterating. This may occasionally cause duplicates to appear in my snapshot, so it's not ideal either. Any other ideas? I'm only concerned about a moment-in-time snapshot, so I'm not concerned about reflecting changes in my application - my main concern is that the collection be able to be updated with minimal latency, and that updates never be lost.

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  • What .Net Namespace contains Entity for use in a generic repository?

    - by Sara
    I have a question that I'm ashamed to ask, but I'm going to have a go at it anyway. I am creating a generic repository in asp.net mvc. I came across an example on this website which I find to be exactly what I was looking for, but there is one problem. It references an object - Entity - and I don't know what namespace it is in. I typically create my repositories and use Entity Framework but I decided to use a generic repository because I am using the same code in multiple projects over and over again. Here is the code: public interface IRepository { void Save(ENTITY entity) where ENTITY : Entity; void Delete<ENTITY>(ENTITY entity) where ENTITY : Entity; ENTITY Load<ENTITY>(int id) where ENTITY : Entity; IQueryable<ENTITY> Query<ENTITY>() where ENTITY : Entity; IList<ENTITY> GetAll<ENTITY>() where ENTITY : Entity; IQueryable<ENTITY> Query<ENTITY>(IDomainQuery<ENTITY> whereQuery) where ENTITY : Entity; ENTITY Get<ENTITY>(int id) where ENTITY : Entity; IList<ENTITY> GetObjectsForIds<ENTITY>(string ids) where ENTITY : Entity; void Flush(); } Can someone please tell me what namespace Entity is in? As you can tell, a constraint is placed on the code so that it must be an Entity type. I know that there is an Entity in System.Data.Entity, but that isn't what I need. I have had instances before where I was looking for some namespace that took me forever to find, but I have searched and I'm unable to find the appropriate namespace to cast my generic items correctly. I could cast it as a class and be done with it, but it is bugging me that I can't find Entity anywhere. Can someone help me....please..... :-) Here is a link to the original post. http://stackoverflow.com/questions/1472719/asp-net-mvc-how-many-repositories

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  • Why an object declared in method is subject to garbage collection before the method returns?

    - by SiLent SoNG
    Consider an object declared in a method: public void foo() { final Object obj = new Object(); // A long run job that consumes tons of memory and // triggers garbage collection } Will obj be subject to garbage collection before foo() returns? UPDATE: Previously I thought obj is not subject to garbage collection until foo() returns. However, today I find myself wrong. I have spend several hours in fixing a bug and finally found the problem is caused by obj garbage collected! Can anyone explain why this happens? And if I want obj to be pinned how to achieve it? Here is the code that has problem. public class Program { public static void main(String[] args) throws Exception { String connectionString = "jdbc:mysql://<whatever>"; // I find wrap is gc-ed somewhere SqlConnection wrap = new SqlConnection(connectionString); Connection con = wrap.currentConnection(); Statement stmt = con.createStatement(ResultSet.TYPE_FORWARD_ONLY, ResultSet.CONCUR_READ_ONLY); stmt.setFetchSize(Integer.MIN_VALUE); ResultSet rs = stmt.executeQuery("select instance_id, doc_id from crawler_archive.documents"); while (rs.next()) { int instanceID = rs.getInt(1); int docID = rs.getInt(2); if (docID % 1000 == 0) { System.out.println(docID); } } rs.close(); //wrap.close(); } } After running the Java program, it will print the following message before it crashes: 161000 161000 ******************************** Finalizer CALLED!! ******************************** ******************************** Close CALLED!! ******************************** 162000 Exception in thread "main" com.mysql.jdbc.exceptions.jdbc4.CommunicationsException: And here is the code of class SqlConnection: class SqlConnection { private final String connectionString; private Connection connection; public SqlConnection(String connectionString) { this.connectionString = connectionString; } public synchronized Connection currentConnection() throws SQLException { if (this.connection == null || this.connection.isClosed()) { this.closeConnection(); this.connection = DriverManager.getConnection(connectionString); } return this.connection; } protected void finalize() throws Throwable { try { System.out.println("********************************"); System.out.println("Finalizer CALLED!!"); System.out.println("********************************"); this.close(); } finally { super.finalize(); } } public void close() { System.out.println("********************************"); System.out.println("Close CALLED!!"); System.out.println("********************************"); this.closeConnection(); } protected void closeConnection() { if (this.connection != null) { try { connection.close(); } catch (Throwable e) { } finally { this.connection = null; } } } }

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  • Build-Essentials installation failing

    - by Brickman
    I am having trouble accessing the several critical header files that show to be a part of the build process. The "Ubuntu Software Center" shows "Build Essentials" as installed: Next I did the following two commands, which did not improve the problem: ~$ sudo apt-get install build-essential [sudo] password for: Reading package lists... Done Building dependency tree Reading state information... Done build-essential is already the newest version. 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. :~$ sudo apt-get install -f Reading package lists... Done Building dependency tree Reading state information... Done 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. :~$ Dump of headers after installation attempts. > /usr/include/boost/interprocess/detail/atomic.hpp > /usr/include/boost/interprocess/smart_ptr/detail/sp_counted_base_atomic.hpp > /usr/include/qt4/Qt/qatomic.h /usr/include/qt4/Qt/qbasicatomic.h > /usr/include/qt4/QtCore/qatomic.h > /usr/include/qt4/QtCore/qbasicatomic.h > /usr/share/doc/git-annex/html/bugs/git_annex_unlock_is_not_atomic.html > /usr/src/linux-headers-3.11.0-15/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-15/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-15-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-17/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-17-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-18/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-18-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-19/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-19-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-20/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-20-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-22/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-22-generic/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.14.4-031404/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404-generic/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404-lowlatency/include/linux/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/alpha/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arm/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arm64/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/avr32/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/blackfin/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/frv/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/h8300/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/hexagon/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/ia64/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/m32r/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/m68k/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/metag/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/microblaze/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/mips/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/mn10300/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/parisc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/powerpc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/s390/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/score/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/sh/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/sparc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/tile/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/x86/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/xtensa/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/linux/atomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng/lib/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng/wrapper/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng-modules/lib/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng-modules/wrapper/ringbuffer/vatomic.h Yes, I know there are multiple headers of the same type here, but they are different versions. Version "linux-headers-3.14.4-031404" shows to be the latest. Ubuntu shows "Nothing needed to be installed." However, the following C/C++ headers files show to be missing for Eclipse and QT4. #include <linux/version.h> #include <linux/module.h> #include <linux/socket.h> #include <linux/miscdevice.h> #include <linux/list.h> #include <linux/vmalloc.h> #include <linux/slab.h> #include <linux/init.h> #include <asm/uaccess.h> #include <asm/atomic.h> #include <linux/delay.h> #include <linux/usb.h> This problem appears on my 32-bit version of Ubuntu and on both of my 64-bit versions. What I am doing wrong?

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  • An Introduction to Meteor

    - by Stephen.Walther
    The goal of this blog post is to give you a brief introduction to Meteor which is a framework for building Single Page Apps. In this blog entry, I provide a walkthrough of building a simple Movie database app. What is special about Meteor? Meteor has two jaw-dropping features: Live HTML – If you make any changes to the HTML, CSS, JavaScript, or data on the server then every client shows the changes automatically without a browser refresh. For example, if you change the background color of a page to yellow then every open browser will show the new yellow background color without a refresh. Or, if you add a new movie to a collection of movies, then every open browser will display the new movie automatically. With Live HTML, users no longer need a refresh button. Changes to an application happen everywhere automatically without any effort. The Meteor framework handles all of the messy details of keeping all of the clients in sync with the server for you. Latency Compensation – When you modify data on the client, these modifications appear as if they happened on the server without any delay. For example, if you create a new movie then the movie appears instantly. However, that is all an illusion. In the background, Meteor updates the database with the new movie. If, for whatever reason, the movie cannot be added to the database then Meteor removes the movie from the client automatically. Latency compensation is extremely important for creating a responsive web application. You want the user to be able to make instant modifications in the browser and the framework to handle the details of updating the database without slowing down the user. Installing Meteor Meteor is licensed under the open-source MIT license and you can start building production apps with the framework right now. Be warned that Meteor is still in the “early preview” stage. It has not reached a 1.0 release. According to the Meteor FAQ, Meteor will reach version 1.0 in “More than a month, less than a year.” Don’t be scared away by that. You should be aware that, unlike most open source projects, Meteor has financial backing. The Meteor project received an $11.2 million round of financing from Andreessen Horowitz. So, it would be a good bet that this project will reach the 1.0 mark. And, if it doesn’t, the framework as it exists right now is still very powerful. Meteor runs on top of Node.js. You write Meteor apps by writing JavaScript which runs both on the client and on the server. You can build Meteor apps on Windows, Mac, or Linux (Although the support for Windows is still officially unofficial). If you want to install Meteor on Windows then download the MSI from the following URL: http://win.meteor.com/ If you want to install Meteor on Mac/Linux then run the following CURL command from your terminal: curl https://install.meteor.com | /bin/sh Meteor will install all of its dependencies automatically including Node.js. However, I recommend that you install Node.js before installing Meteor by installing Node.js from the following address: http://nodejs.org/ If you let Meteor install Node.js then Meteor won’t install NPM which is the standard package manager for Node.js. If you install Node.js and then you install Meteor then you get NPM automatically. Creating a New Meteor App To get a sense of how Meteor works, I am going to walk through the steps required to create a simple Movie database app. Our app will display a list of movies and contain a form for creating a new movie. The first thing that we need to do is create our new Meteor app. Open a command prompt/terminal window and execute the following command: Meteor create MovieApp After you execute this command, you should see something like the following: Follow the instructions: execute cd MovieApp to change to your MovieApp directory, and run the meteor command. Executing the meteor command starts Meteor on port 3000. Open up your favorite web browser and navigate to http://localhost:3000 and you should see the default Meteor Hello World page: Open up your favorite development environment to see what the Meteor app looks like. Open the MovieApp folder which we just created. Here’s what the MovieApp looks like in Visual Studio 2012: Notice that our MovieApp contains three files named MovieApp.css, MovieApp.html, and MovieApp.js. In other words, it contains a Cascading Style Sheet file, an HTML file, and a JavaScript file. Just for fun, let’s see how the Live HTML feature works. Open up multiple browsers and point each browser at http://localhost:3000. Now, open the MovieApp.html page and modify the text “Hello World!” to “Hello Cruel World!” and save the change. The text in all of the browsers should update automatically without a browser refresh. Pretty amazing, right? Controlling Where JavaScript Executes You write a Meteor app using JavaScript. Some of the JavaScript executes on the client (the browser) and some of the JavaScript executes on the server and some of the JavaScript executes in both places. For a super simple app, you can use the Meteor.isServer and Meteor.isClient properties to control where your JavaScript code executes. For example, the following JavaScript contains a section of code which executes on the server and a section of code which executes in the browser: if (Meteor.isClient) { console.log("Hello Browser!"); } if (Meteor.isServer) { console.log("Hello Server!"); } console.log("Hello Browser and Server!"); When you run the app, the message “Hello Browser!” is written to the browser JavaScript console. The message “Hello Server!” is written to the command/terminal window where you ran Meteor. Finally, the message “Hello Browser and Server!” is execute on both the browser and server and the message appears in both places. For simple apps, using Meteor.isClient and Meteor.isServer to control where JavaScript executes is fine. For more complex apps, you should create separate folders for your server and client code. Here are the folders which you can use in a Meteor app: · client – This folder contains any JavaScript which executes only on the client. · server – This folder contains any JavaScript which executes only on the server. · common – This folder contains any JavaScript code which executes on both the client and server. · lib – This folder contains any JavaScript files which you want to execute before any other JavaScript files. · public – This folder contains static application assets such as images. For the Movie App, we need the client, server, and common folders. Delete the existing MovieApp.js, MovieApp.html, and MovieApp.css files. We will create new files in the right locations later in this walkthrough. Combining HTML, CSS, and JavaScript Files Meteor combines all of your JavaScript files, and all of your Cascading Style Sheet files, and all of your HTML files automatically. If you want to create one humongous JavaScript file which contains all of the code for your app then that is your business. However, if you want to build a more maintainable application, then you should break your JavaScript files into many separate JavaScript files and let Meteor combine them for you. Meteor also combines all of your HTML files into a single file. HTML files are allowed to have the following top-level elements: <head> — All <head> files are combined into a single <head> and served with the initial page load. <body> — All <body> files are combined into a single <body> and served with the initial page load. <template> — All <template> files are compiled into JavaScript templates. Because you are creating a single page app, a Meteor app typically will contain a single HTML file for the <head> and <body> content. However, a Meteor app typically will contain several template files. In other words, all of the interesting stuff happens within the <template> files. Displaying a List of Movies Let me start building the Movie App by displaying a list of movies. In order to display a list of movies, we need to create the following four files: · client\movies.html – Contains the HTML for the <head> and <body> of the page for the Movie app. · client\moviesTemplate.html – Contains the HTML template for displaying the list of movies. · client\movies.js – Contains the JavaScript for supplying data to the moviesTemplate. · server\movies.js – Contains the JavaScript for seeding the database with movies. After you create these files, your folder structure should looks like this: Here’s what the client\movies.html file looks like: <head> <title>My Movie App</title> </head> <body> <h1>Movies</h1> {{> moviesTemplate }} </body>   Notice that it contains <head> and <body> top-level elements. The <body> element includes the moviesTemplate with the syntax {{> moviesTemplate }}. The moviesTemplate is defined in the client/moviesTemplate.html file: <template name="moviesTemplate"> <ul> {{#each movies}} <li> {{title}} </li> {{/each}} </ul> </template> By default, Meteor uses the Handlebars templating library. In the moviesTemplate above, Handlebars is used to loop through each of the movies using {{#each}}…{{/each}} and display the title for each movie using {{title}}. The client\movies.js JavaScript file is used to bind the moviesTemplate to the Movies collection on the client. Here’s what this JavaScript file looks like: // Declare client Movies collection Movies = new Meteor.Collection("movies"); // Bind moviesTemplate to Movies collection Template.moviesTemplate.movies = function () { return Movies.find(); }; The Movies collection is a client-side proxy for the server-side Movies database collection. Whenever you want to interact with the collection of Movies stored in the database, you use the Movies collection instead of communicating back to the server. The moviesTemplate is bound to the Movies collection by assigning a function to the Template.moviesTemplate.movies property. The function simply returns all of the movies from the Movies collection. The final file which we need is the server-side server\movies.js file: // Declare server Movies collection Movies = new Meteor.Collection("movies"); // Seed the movie database with a few movies Meteor.startup(function () { if (Movies.find().count() == 0) { Movies.insert({ title: "Star Wars", director: "Lucas" }); Movies.insert({ title: "Memento", director: "Nolan" }); Movies.insert({ title: "King Kong", director: "Jackson" }); } }); The server\movies.js file does two things. First, it declares the server-side Meteor Movies collection. When you declare a server-side Meteor collection, a collection is created in the MongoDB database associated with your Meteor app automatically (Meteor uses MongoDB as its database automatically). Second, the server\movies.js file seeds the Movies collection (MongoDB collection) with three movies. Seeding the database gives us some movies to look at when we open the Movies app in a browser. Creating New Movies Let me modify the Movies Database App so that we can add new movies to the database of movies. First, I need to create a new template file – named client\movieForm.html – which contains an HTML form for creating a new movie: <template name="movieForm"> <fieldset> <legend>Add New Movie</legend> <form> <div> <label> Title: <input id="title" /> </label> </div> <div> <label> Director: <input id="director" /> </label> </div> <div> <input type="submit" value="Add Movie" /> </div> </form> </fieldset> </template> In order for the new form to show up, I need to modify the client\movies.html file to include the movieForm.html template. Notice that I added {{> movieForm }} to the client\movies.html file: <head> <title>My Movie App</title> </head> <body> <h1>Movies</h1> {{> moviesTemplate }} {{> movieForm }} </body> After I make these modifications, our Movie app will display the form: The next step is to handle the submit event for the movie form. Below, I’ve modified the client\movies.js file so that it contains a handler for the submit event raised when you submit the form contained in the movieForm.html template: // Declare client Movies collection Movies = new Meteor.Collection("movies"); // Bind moviesTemplate to Movies collection Template.moviesTemplate.movies = function () { return Movies.find(); }; // Handle movieForm events Template.movieForm.events = { 'submit': function (e, tmpl) { // Don't postback e.preventDefault(); // create the new movie var newMovie = { title: tmpl.find("#title").value, director: tmpl.find("#director").value }; // add the movie to the db Movies.insert(newMovie); } }; The Template.movieForm.events property contains an event map which maps event names to handlers. In this case, I am mapping the form submit event to an anonymous function which handles the event. In the event handler, I am first preventing a postback by calling e.preventDefault(). This is a single page app, no postbacks are allowed! Next, I am grabbing the new movie from the HTML form. I’m taking advantage of the template find() method to retrieve the form field values. Finally, I am calling Movies.insert() to insert the new movie into the Movies collection. Here, I am explicitly inserting the new movie into the client-side Movies collection. Meteor inserts the new movie into the server-side Movies collection behind the scenes. When Meteor inserts the movie into the server-side collection, the new movie is added to the MongoDB database associated with the Movies app automatically. If server-side insertion fails for whatever reasons – for example, your internet connection is lost – then Meteor will remove the movie from the client-side Movies collection automatically. In other words, Meteor takes care of keeping the client Movies collection and the server Movies collection in sync. If you open multiple browsers, and add movies, then you should notice that all of the movies appear on all of the open browser automatically. You don’t need to refresh individual browsers to update the client-side Movies collection. Meteor keeps everything synchronized between the browsers and server for you. Removing the Insecure Module To make it easier to develop and debug a new Meteor app, by default, you can modify the database directly from the client. For example, you can delete all of the data in the database by opening up your browser console window and executing multiple Movies.remove() commands. Obviously, enabling anyone to modify your database from the browser is not a good idea in a production application. Before you make a Meteor app public, you should first run the meteor remove insecure command from a command/terminal window: Running meteor remove insecure removes the insecure package from the Movie app. Unfortunately, it also breaks our Movie app. We’ll get an “Access denied” error in our browser console whenever we try to insert a new movie. No worries. I’ll fix this issue in the next section. Creating Meteor Methods By taking advantage of Meteor Methods, you can create methods which can be invoked on both the client and the server. By taking advantage of Meteor Methods you can: 1. Perform form validation on both the client and the server. For example, even if an evil hacker bypasses your client code, you can still prevent the hacker from submitting an invalid value for a form field by enforcing validation on the server. 2. Simulate database operations on the client but actually perform the operations on the server. Let me show you how we can modify our Movie app so it uses Meteor Methods to insert a new movie. First, we need to create a new file named common\methods.js which contains the definition of our Meteor Methods: Meteor.methods({ addMovie: function (newMovie) { // Perform form validation if (newMovie.title == "") { throw new Meteor.Error(413, "Missing title!"); } if (newMovie.director == "") { throw new Meteor.Error(413, "Missing director!"); } // Insert movie (simulate on client, do it on server) return Movies.insert(newMovie); } }); The addMovie() method is called from both the client and the server. This method does two things. First, it performs some basic validation. If you don’t enter a title or you don’t enter a director then an error is thrown. Second, the addMovie() method inserts the new movie into the Movies collection. When called on the client, inserting the new movie into the Movies collection just updates the collection. When called on the server, inserting the new movie into the Movies collection causes the database (MongoDB) to be updated with the new movie. You must add the common\methods.js file to the common folder so it will get executed on both the client and the server. Our folder structure now looks like this: We actually call the addMovie() method within our client code in the client\movies.js file. Here’s what the updated file looks like: // Declare client Movies collection Movies = new Meteor.Collection("movies"); // Bind moviesTemplate to Movies collection Template.moviesTemplate.movies = function () { return Movies.find(); }; // Handle movieForm events Template.movieForm.events = { 'submit': function (e, tmpl) { // Don't postback e.preventDefault(); // create the new movie var newMovie = { title: tmpl.find("#title").value, director: tmpl.find("#director").value }; // add the movie to the db Meteor.call( "addMovie", newMovie, function (err, result) { if (err) { alert("Could not add movie " + err.reason); } } ); } }; The addMovie() method is called – on both the client and the server – by calling the Meteor.call() method. This method accepts the following parameters: · The string name of the method to call. · The data to pass to the method (You can actually pass multiple params for the data if you like). · A callback function to invoke after the method completes. In the JavaScript code above, the addMovie() method is called with the new movie retrieved from the HTML form. The callback checks for an error. If there is an error then the error reason is displayed in an alert (please don’t use alerts for validation errors in a production app because they are ugly!). Summary The goal of this blog post was to provide you with a brief walk through of a simple Meteor app. I showed you how you can create a simple Movie Database app which enables you to display a list of movies and create new movies. I also explained why it is important to remove the Meteor insecure package from a production app. I showed you how to use Meteor Methods to insert data into the database instead of doing it directly from the client. I’m very impressed with the Meteor framework. The support for Live HTML and Latency Compensation are required features for many real world Single Page Apps but implementing these features by hand is not easy. Meteor makes it easy.

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  • NServiceBus Generic Host and mqsvc.exe high CPU

    - by Michael Stephenson
    We have been doing some work with NServiceBus recently and observed some unusual behaviour which was caused by our mistake and seemed worthy of a small post.   The Scenario In our solution we were doing some standard NServiceBus stuff by pushing a message to a queue using NServiceBus.  We had a direct send/receive scenario rather than a publish/subscribe one.   The background process which was meant to collect the message and then process it was a normal NServiceBus message handler.  We would run the NServiceBus.Host.exe which would find the handler and then do the usual NServiceBus magic.   The Problem In this solution we were creating some automated tests around this module of the integration process to ensure that it would work well.  We had two tests.   Test 1 This test would start NServiceBus.Host.exe using the Process object, then seed a message to the queue via our web service façade sitting above the queue which wrapped NServiceBus.  The background process would then process the message and the test would check the message had been processed fine.   If all was well then the NServiceBus.Host.exe process was stopped.   Test 2 In test 2 we would do a very similar thing except that instead of starting the process the test would install NServiceBus.Host.exe as a windows service and then start the service before the test and once the test was executed it would stop the test.   The Results of the Tests Test 1 worked really well, however in test 2 we found that it didn’t really work at all, instead of doing the background process we were finding that between mqsvc.exe and NServiceBus.Host.exe the CPU on the machine was maxed and nothing was really happening.   The Solution After trying a few things we found it was the permissions on the queue were not set correctly.  Once this was resolved it all worked fine and CPU was not excessive and ran just like the console application.   I think the couple of take aways from this are:   Make sure you set the windows service for NserviceBus Generic Host to the right credentials When you install the generic host as a windows service then by default it will use the default windows credentials.  For any production like scenario you should be using a domain account to run the process as via the windows service. Make sure you have the queue set with the right permissions For the credentials you have used to configure the generic host as a windows service you should ensure that this user has the appropriate permissions for any queues it will interact with. Make sure you turn on the right logging configuration in NServiceBus When this wasnt working correctly we didnt know there was an issue, we were just experiencing the high CPU condition.  I am a little surprised that there wasnt something logged and that the process didnt crash.  I guess this could be by design bearing in mind that the process could be monitoring many queues.  In this point Im just saying that originally we didnt have all of the log4net logging which is available from NServiceBus turned on.  Its probably a good idea to have this turned on and configured until you are happy your solution is working fine.   Thanks to Ahmed Hashmi on my team who got this working in the end.

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  • Strategies for invoking subclass methods on generic objects

    - by Brad Patton
    I've run into this issue in a number of places and have solved it a bunch of different ways but looking for other solutions or opinions on how to address. The scenario is when you have a collection of objects all based off of the same superclass but you want to perform certain actions based only on instances of some of the subclasses. One contrived example of this might be an HTML document made up of elements. You could have a superclass named HTMLELement and subclasses of Headings, Paragraphs, Images, Comments, etc. To invoke a common action across all of the objects you declare a virtual method in the superclass and specific implementations in all of the subclasses. So to render the document you could loop all of the different objects in the document and call a common Render() method on each instance. It's the case where again using the same generic objects in the collection I want to perform different actions for instances of specific subclass (or set of subclasses). For example (an remember this is just an example) when iterating over the collection, elements with external links need to be downloaded (e.g. JS, CSS, images) and some might require additional parsing (JS, CSS). What's the best way to handle those special cases. Some of the strategies I've used or seen used include: Virtual methods in the base class. So in the base class you have a virtual LoadExternalContent() method that does nothing and then override it in the specific subclasses that need to implement it. The benefit being that in the calling code there is no object testing you send the same message to each object and let most of them ignore it. Two downsides that I can think of. First it can make the base class very cluttered with methods that have nothing to do with most of the hierarchy. Second it assumes all of the work can be done in the called method and doesn't handle the case where there might be additional context specific actions in the calling code (i.e. you want to do something in the UI and not the model). Have methods on the class to uniquely identify the objects. This could include methods like ClassName() which return a string with the class name or other return values like enums or booleans (IsImage()). The benefit is that the calling code can use if or switch statements to filter objects to perform class specific actions. The downside is that for every new class you need to implement these methods and can look cluttered. Also performance could be less than some of the other options. Use language features to identify objects. This includes reflection and language operators to identify the objects. For example in C# there is the is operator that returns true if the instance matches the specified class. The benefit is no additional code to implement in your object hierarchy. The only downside seems to be the lack of using something like a switch statement and the fact that your calling code is a little more cluttered. Are there other strategies I am missing? Thoughts on best approaches?

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  • Nice Generic Example that implements an interface.

    - by mbcrump
    I created this quick generic example after noticing that several people were asking questions about it. If you have any questions then let me know. using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Globalization; namespace ConsoleApplication4 { //New class where Type implements IConvertible interface (interface = contract) class Calculate<T> where T : IConvertible { //Setup fields public T X; NumberFormatInfo fmt = NumberFormatInfo.CurrentInfo; //Constructor 1 public Calculate() { X = default(T); } //Constructor 2 public Calculate (T x) { X = x; } //Method that we know will return a double public double DistanceTo (Calculate<T> cal) { //Remove the.ToDouble if you want to see the methods available for IConvertible return (X.ToDouble(fmt) - cal.X.ToDouble(fmt)); } } class Program { static void Main(string[] args) { //Pass value type and call DistanceTo with an Int. Calculate<int> cal = new Calculate<int>(); Calculate<int> cal2 = new Calculate<int>(10); Console.WriteLine("Int : " + cal.DistanceTo(cal2)); //Pass value type and call DistanceTo with an Double. Calculate<double> cal3 = new Calculate<double>(); Calculate<double> cal4 = new Calculate<double>(10.6); Console.WriteLine("Double : " + cal3.DistanceTo(cal4)); //Pass reference type and call DistanceTo with an String. Calculate<string> cal5 = new Calculate<string>("0"); Calculate<string> cal6 = new Calculate<string>("345"); Console.WriteLine("String : " + cal5.DistanceTo(cal6)); } } }

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  • Why does DataContractJsonSerializer not include generic like JavaScriptSerializer?

    - by Patrick Magee
    So the JavaScriptSerializer was deprecated in favor of the DataContractJsonSerializer. var client = new WebClient(); var json = await client.DownloadStringTaskAsync(url); // http://example.com/api/people/1 // Deprecated, but clean looking and generally fits in nicely with // other code in my app domain that makes use of generics var serializer = new JavaScriptSerializer(); Person p = serializer.Deserialize<Person>(json); // Now have to make use of ugly typeof to get the Type when I // already know the Type at compile type. Why no Generic type T? var serializer = new DataContractJsonSerializer(typeof(Person)); Person p = serializer.ReadObject(json) as Person; The JavaScriptSerializer is nice and allows you to deserialize using a type of T generic in the function name. Understandably, it's been deprecated for good reason, with the DataContractJsonSerializer, you can decorate your Type to be deserialized with various things so it isn't so brittle like the JavaScriptSerializer, for example [DataMember(name = "personName")] public string Name { get; set; } Is there a particular reason why they decided to only allow users to pass in the Type? Type type = typeof(Person); var serializer = new DataContractJsonSerializer(type); Person p = serializer.ReadObject(json) as Person; Why not this? var serializer = new DataContractJsonSerializer(); Person p = serializer.ReadObject<Person>(json); They can still use reflection with the DataContract decorated attributes based on the T that I've specified on the .ReadObject<T>(json)

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  • Generic software code style enforcer

    - by FuzziBear
    It seems to me to be a fairly common thing to do, where you have some code that you'd like to automatically run through a code style tool to catch when people break your coding style guide(s). Particularly if you're working on code that has multiple languages (which is becoming more common with web-language-x and javascript), you generally want to apply similar code style guides to both and have them enforced. I've done a bit of research, but I've only been able to find tools to enforce code style guidelines (not necessarily applying the code style, just telling you when you break code style guidelines) for a particular language. It would seem to me a reasonably trivial thing to do by just using current IDE rules for syntax highlighting (so that you don't check style guide rules inside quotes or strings, etc) and a whole lot of regexes to enforce some really generic things. Examples: if ( rather than if( checking lines with only whitespace Are there any tools that do this kind of really generic style checking? I'd prefer it to be easily configurable for different languages (because like it or not, some things would just not work cross language) and to add new "rules" to check new things.

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  • What You Said: How You Organize a Messy Music Collection

    - by Jason Fitzpatrick
    Earlier this week we asked you to share your tips, tricks, and tools, for managing a messy music collection. Now we’re back to share so great reader tips; read on to find ways to tame your mountain of music. Several readers were, despite having tried various techniques over the years, fans of doing things largely the manual way. Aurora900 explains: I spent a weekend sorting everything myself once. Took a while, but now I have folders sorted by artist, and within the artist folders are folders for their albums. With my collection at about 260gb, it can be a daunting task, but it’s well worth it in the end. I don’t have the tagging issue as I make sure anything I have is properly tagged to begin with… If I’m ripping a CD I use Easy CD-DA Extractor, which automatically searches a database on the internet for the tags. If I’m downloading something, if its from a reputable source its going to be properly tagged already. Bilbo Baggins would love to automate, but eclectic music tastes make it hard: How to Own Your Own Website (Even If You Can’t Build One) Pt 3 How to Sync Your Media Across Your Entire House with XBMC How to Own Your Own Website (Even If You Can’t Build One) Pt 2

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  • Webservice Return Generic Result Type or Purposed Result Type

    - by hanzolo
    I'm building a webservice which returns JSON / XML / SOAP at the moment.. and I'm not entirely sure which approach for returning results is best. Which would be a better return value? A generic "transfer" type structure, which carries Generic properties or a purposed type with distinct properties: class GenericTransferObject{ public string returnVal; public string returnType; } VS class PurposedTransferObject_1{ public string Property1; } //and then building additional "types" for additional values class PurposedTransferObject_2 { public string PropertyA; public string PropertyB; } Now, this would be the serialized and returned from a web service call via some client technology, JQuery in this example. SO if I called: /GetDaysInWeek/ I would either get back: {"returnType": "DaysInWeek", "returnVal": "365" } OR {"DaysInWeek": "365"} And then it would go from there. On the one hand there's flexibilty with the 1st example. I can add "returnTypes" without needing to adjust the client other than referencing an additional "index".. but if I had to add a property, now i'm changing a structure definition.. Is there an obvious choice in this situation?

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  • Data model for unlockable card collection

    - by Karlos Zafra
    My game has a collection of cards (about 64) that are unlocked (one by one) provided that 4 items are collected/gained in the game. Right now the deck of cards is modeled with a plist file, like this: <plist> <dict> <key>card1</key> <dict> <key>available</key> <true/> <key>series</key> <integer>1</integer> <key>model</key> <integer>1</integer> <key>color</key> <integer>1</integer> </dict> <key>card2</key> <dict> <key>available</key> <false/> <key>series</key> <integer>1</integer> <key>model</key> <integer>1</integer> <key>color</key> <integer>2</integer> </dict> The value for the key named "available" marks if the item is locked or not. Right now I have to include the data for the items collected by the user, but including that inside the plist looks like too much hassle. What kind of structure should be more suitable for this? How do you manage a collection of unlockable items like this?

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  • Locking individual elements in a static collection?

    - by user638474
    I have a static collection of objects that will be frequently updated from multiple threads. Is it possible to lock individual objects in a collection instead of locking the entire collection so that only threads trying to access the same object in the collection would get blocked instead of every thread? If there is a better way to update objects in a collection from multiple threads, I'm all ears.

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  • Optimizing python code performance when importing zipped csv to a mongo collection

    - by mark
    I need to import a zipped csv into a mongo collection, but there is a catch - every record contains a timestamp in Pacific Time, which must be converted to the local time corresponding to the (longitude,latitude) pair found in the same record. The code looks like so: def read_csv_zip(path, timezones): with ZipFile(path) as z, z.open(z.namelist()[0]) as input: csv_rows = csv.reader(input) header = csv_rows.next() check,converters = get_aux_stuff(header) for csv_row in csv_rows: if check(csv_row): row = { converter[0]:converter[1](value) for converter, value in zip(converters, csv_row) if allow_field(converter) } ts = row['ts'] lng, lat = row['loc'] found_tz_entry = timezones.find_one(SON({'loc': {'$within': {'$box': [[lng-tz_lookup_radius, lat-tz_lookup_radius],[lng+tz_lookup_radius, lat+tz_lookup_radius]]}}})) if found_tz_entry: tz_name = found_tz_entry['tz'] local_ts = ts.astimezone(timezone(tz_name)).replace(tzinfo=None) row['tz'] = tz_name else: local_ts = (ts.astimezone(utc) + timedelta(hours = int(lng/15))).replace(tzinfo = None) row['local_ts'] = local_ts yield row def insert_documents(collection, source, batch_size): while True: items = list(itertools.islice(source, batch_size)) if len(items) == 0: break; try: collection.insert(items) except: for item in items: try: collection.insert(item) except Exception as exc: print("Failed to insert record {0} - {1}".format(item['_id'], exc)) def main(zip_path): with Connection() as connection: data = connection.mydb.data timezones = connection.timezones.data insert_documents(data, read_csv_zip(zip_path, timezones), 1000) The code proceeds as follows: Every record read from the csv is checked and converted to a dictionary, where some fields may be skipped, some titles be renamed (from those appearing in the csv header), some values may be converted (to datetime, to integers, to floats. etc ...) For each record read from the csv, a lookup is made into the timezones collection to map the record location to the respective time zone. If the mapping is successful - that timezone is used to convert the record timestamp (pacific time) to the respective local timestamp. If no mapping is found - a rough approximation is calculated. The timezones collection is appropriately indexed, of course - calling explain() confirms it. The process is slow. Naturally, having to query the timezones collection for every record kills the performance. I am looking for advises on how to improve it. Thanks. EDIT The timezones collection contains 8176040 records, each containing four values: > db.data.findOne() { "_id" : 3038814, "loc" : [ 1.48333, 42.5 ], "tz" : "Europe/Andorra" } EDIT2 OK, I have compiled a release build of http://toblerity.github.com/rtree/ and configured the rtree package. Then I have created an rtree dat/idx pair of files corresponding to my timezones collection. So, instead of calling collection.find_one I call index.intersection. Surprisingly, not only there is no improvement, but it works even more slowly now! May be rtree could be fine tuned to load the entire dat/idx pair into RAM (704M), but I do not know how to do it. Until then, it is not an alternative. In general, I think the solution should involve parallelization of the task. EDIT3 Profile output when using collection.find_one: >>> p.sort_stats('cumulative').print_stats(10) Tue Apr 10 14:28:39 2012 ImportDataIntoMongo.profile 64549590 function calls (64549180 primitive calls) in 1231.257 seconds Ordered by: cumulative time List reduced from 730 to 10 due to restriction <10> ncalls tottime percall cumtime percall filename:lineno(function) 1 0.012 0.012 1231.257 1231.257 ImportDataIntoMongo.py:1(<module>) 1 0.001 0.001 1230.959 1230.959 ImportDataIntoMongo.py:187(main) 1 853.558 853.558 853.558 853.558 {raw_input} 1 0.598 0.598 370.510 370.510 ImportDataIntoMongo.py:165(insert_documents) 343407 9.965 0.000 359.034 0.001 ImportDataIntoMongo.py:137(read_csv_zip) 343408 2.927 0.000 287.035 0.001 c:\python27\lib\site-packages\pymongo\collection.py:489(find_one) 343408 1.842 0.000 274.803 0.001 c:\python27\lib\site-packages\pymongo\cursor.py:699(next) 343408 2.542 0.000 271.212 0.001 c:\python27\lib\site-packages\pymongo\cursor.py:644(_refresh) 343408 4.512 0.000 253.673 0.001 c:\python27\lib\site-packages\pymongo\cursor.py:605(__send_message) 343408 0.971 0.000 242.078 0.001 c:\python27\lib\site-packages\pymongo\connection.py:871(_send_message_with_response) Profile output when using index.intersection: >>> p.sort_stats('cumulative').print_stats(10) Wed Apr 11 16:21:31 2012 ImportDataIntoMongo.profile 41542960 function calls (41542536 primitive calls) in 2889.164 seconds Ordered by: cumulative time List reduced from 778 to 10 due to restriction <10> ncalls tottime percall cumtime percall filename:lineno(function) 1 0.028 0.028 2889.164 2889.164 ImportDataIntoMongo.py:1(<module>) 1 0.017 0.017 2888.679 2888.679 ImportDataIntoMongo.py:202(main) 1 2365.526 2365.526 2365.526 2365.526 {raw_input} 1 0.766 0.766 502.817 502.817 ImportDataIntoMongo.py:180(insert_documents) 343407 9.147 0.000 491.433 0.001 ImportDataIntoMongo.py:152(read_csv_zip) 343406 0.571 0.000 391.394 0.001 c:\python27\lib\site-packages\rtree-0.7.0-py2.7.egg\rtree\index.py:384(intersection) 343406 379.957 0.001 390.824 0.001 c:\python27\lib\site-packages\rtree-0.7.0-py2.7.egg\rtree\index.py:435(_intersection_obj) 686513 22.616 0.000 38.705 0.000 c:\python27\lib\site-packages\rtree-0.7.0-py2.7.egg\rtree\index.py:451(_get_objects) 343406 6.134 0.000 33.326 0.000 ImportDataIntoMongo.py:162(<dictcomp>) 346 0.396 0.001 30.665 0.089 c:\python27\lib\site-packages\pymongo\collection.py:240(insert) EDIT4 I have parallelized the code, but the results are still not very encouraging. I am convinced it could be done better. See my own answer to this question for details.

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