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• Saving game data to server [on hold]

  - by Eugene Lim

  What's the best method to save the player's data to the server? Method to store the game saves Which one of the following method should I use ? Using a database structure(e.g.. mySQL) to store the game data as blobs? Using the server hard disk to store the saved game data as binary data files? Method to send saved game data to server What method should I use ? socketIO web socket a web-based scripting language to receive the game data as binary? for example, a php script to handle binary data and save it to file Meta-data I read that some games store saved game meta-data in database structures. What kind of meta data is useful to store?

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• Web services, J2EE, Spring, DB integration project ideas - maybe data mining related?

  - by saral jain

  I am a graduate Computer Science student (Data Mining and Machine Learning) and have good exposure to core Java (3 years). I have read up on a bunch of stuff on the following topics: Design patterns, J2EE Web services (SOAP and REST), Spring, and Hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff -- over my free time of course -- to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + SVN, maven). Any good project ideas would be really appreciated. I just want to build this stuff to learn, so I don't really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus as it fits with my research but is absolutely not necessary since this project is more to learn to do large scale software development.

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• web server response code 500

  - by Bryan Kemp

  I realize that this may spur a religious discussion, but I discussed this with friends and get great, but conflicting answers and the actual documentation is of little help. What does the 500 series response codes mean from the webserver? Internal Server Error, but that is vague. My assumption is that it means that something bad happened to the server (file system corruption, no connection to the database, network issue, etc.) but not specifically a data driven error (divide by zero, record missing, bad parameter, etc). Something to note, there are some web client implementations (the default Android and Blackberry httpclients) that do not allow access to the html boddy if the server response is 500 so there is no way to determine what caused the issue from the client. What I have been been implementing recently is a web service that returns a json payload wrapped in a response object that contains more specific error information if it is data related, but the server response will be 200 since it finished the actual processing. Thoughts?

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• Closing the Gap: 2012 IOUG Enterprise Data Security Survey

  - by Troy Kitch

  The new survey from the Independent Oracle Users Group (IOUG) titled "Closing the Security Gap: 2012 IOUG Enterprise Data Security Survey," uncovers some interesting trends in IT security among IOUG members and offers recommendations for securing data stored in enterprise databases. "Despite growing threats and enterprise data security risks, organizations that implement appropriate detective, preventive, and administrative safeguards are seeing significant results," finds the report's author, Joseph McKendrick, analyst, Unisphere Research. Produced by Unisphere Research and underwritten by Oracle, the report is based on responses from 350 IOUG members representing a variety of job roles, organization sizes, and industry verticals. Key findings include Corporate budgets increase, but trailing. Though corporate data security budgets are increasing this year, they still have room to grow to reach the previous year’s spending. Additionally, more than half of respondents say their organizations still do not have, or are unaware of, data security plans to help address contingencies as they arise. Danger of unauthorized access. Less than a third of respondents encrypt data that is either stored or in motion, and at the same time, more than three-fifths say they send actual copies of enterprise production data to other sites inside and outside the enterprise. Privileged user misuse. Only about a third of respondents say they are able to prevent privileged users from abusing data, and most do not have, or are not aware of, ways to prevent access to sensitive data using spreadsheets or other ad hoc tools. Lack of consistent auditing. A majority of respondents actively collect native database audits, but there has not been an appreciable increase in the implementation of automated tools for comprehensive auditing and reporting across databases in the enterprise. IOUG RecommendationsThe report's author finds that securing data requires not just the ability to monitor and detect suspicious activity, but also to prevent the activity in the first place. To achieve this comprehensive approach, the report recommends the following. Apply an enterprise-wide security strategy. Database security requires multiple layers of defense that include a combination of preventive, detective, and administrative data security controls. Get business buy-in and support. Data security only works if it is backed through executive support. The business needs to help determine what protection levels should be attached to data stored in enterprise databases. Provide training and education. Often, business users are not familiar with the risks associated with data security. Beyond IT solutions, what is needed is a well-engaged and knowledgeable organization to help make security a reality. Read the IOUG Data Security Survey Now.

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• Video Presentation and Demo of Oracle Advanced Analytics & Data Mining

  - by Mike.Hallett(at)Oracle-BI&EPM

  For a video presentation and demonstration of Oracle Advanced Analytics & Data Mining  click here. (This plays a large MP4 file in a browser: access is from Google.docs, and this works best with Google CHROME). This one hour session focuses primarily on the Oracle Data Mining component of the Oracle Advanced Analytics Option along with Oracle R Enterprise and is tied to the Oracle SQL Developer Days virtual and onsite events and is presented by Oracle’s Director for Advanced Analytics, Charlie Berger, covering: Big Data + Big Data Analytics Competing on analytics & value proposition What is data mining? Typical use cases Oracle Data Mining high performance in-database SQL based data mining functions Exadata "smart scan" scoring Oracle Data Miner GUI (an Extension that ships with SQL Developer) Oracle Business Intelligence EE + Oracle Data Mining results/predictions in dashboards Applications "powered by Oracle Data Mining" for factory installed predictive analytics methodologies Oracle R Enterprise Please contact [email protected] should you have any questions. 

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• New Feature in ODI 11.1.1.6: Enterprise Data Quality Integration

  - by Julien Testut

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Oracle Data Integrator 11.1.1.6.0 introduces a new Open Tool called EnterpriseDataQuality which allows ODI users to invoke an Oracle Enterprise Data Quality Job from a Package. This post will give you an overview of this new feature. Oracle Enterprise Data Quality (OEDQ) provides organizations with an integrated suite of data quality tools that offer an end-to-end solution to measure, improve, and manage the quality of data from any domain, including customer and product data. The addition of the EnterpriseDataQuality Open Tool extends the inline Data Quality capabilities of Oracle Data Integrator with Oracle Enterprise Data Quality powerful data profiling, cleansing, matching, and monitoring capabilities. The EnterpriseDataQuality Open Tool can invoke any OEDQ Job stored in a Project. This Open Tool connects to an OEDQ server using a JMX (Java Management Extensions) interface. Once installed, this Open Tool will be found under Plugins in the Package Toolbox area: This EnterpriseDataQuality Open Tool takes a couple of parameters as inputs such as the Enterprise Data Quality Job and Project names, the OEDQ hostname and JMX port etc. With the EnterpriseDataQuality Open Tool, ODI customers can now incorporate their Oracle Enterprise Data Quality processes within their Data Integration workflows. You will find instructions about how to use the Enterprise Data Quality Open Tool in the Oracle Data Integrator documentation at: Using the EnterpriseDataQuality Open Tool.You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview.

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• Error message during update from 13.04 to 13.10

  - by layonhands

  The following was reported after I attempted to report the problem back to Ubuntu: The problem cannot be reported: You have some obsolete package versions installed. Please upgrade the following packages and check if the problem still occurs: ubuntu-release-upgrader-gtk, apport, apport-gtk, apport-symptoms, apt, apt-utils, at-spi2-core, binutils, dbus, gcc-4.7-base, gdb, gir1.2-atk-1.0, gir1.2-gtk-3.0, glib-networking, glib-networking-common, glib-networking-services, gnupg, gpgv, ifupdown, initramfs-tools, initramfs-tools-bin, kmod, libappindicator3-1, libapt-inst1.5, libapt-pkg4.12, libasound2, libatk-bridge2.0-0, libatk1.0-0, libatk1.0-data, libatspi2.0-0, libc-bin, libc6, libcups2, libdbus-1-3, libdbusmenu-glib4, libdbusmenu-gtk3-4, libdrm-intel1, libdrm-nouveau2, libdrm-radeon1, libdrm2, libgail-3-0, libgcc1, libgcrypt11, libglib2.0-0, libglib2.0-data, libgnutls26, libgomp1, libgstreamer-plugins-base1.0-0, libgstreamer1.0-0, libgtk-3-0, libgtk-3-bin, libgtk-3-common, libgudev-1.0-0, libicu48, libindicator3-7, libkmod2, liblcms2-2, libpci3, libplymouth2, libpolkit-agent-1-0, libpolkit-backend-1-0, libpolkit-gobject-1-0, libprocps0, libpython-stdlib, libpython2.7, libpython2.7-minimal, libpython2.7-stdlib, libpython3-stdlib, libpython3.3-minimal, libpython3.3-stdlib, libssl1.0.0, libstdc++6, libtiff5, libudev1, libx11-6, libx11-data, libx11-xcb1, libxcb-dri2-0, libxcb-glx0, libxcb-render0, libxcb-shm0, libxcb1, libxcursor1, libxext6, libxfixes3, libxi6, libxinerama1, libxml2, libxrandr2, libxrender1, libxres1, libxt6, libxtst6, libxxf86vm1, lsb-base, lsb-release, module-init-tools, multiarch-support, openssl, passwd, pciutils, perl, perl-base, perl-modules, plymouth, plymouth-theme-ubuntu-text, policykit-1, procps, python, python-gi, python-minimal, python2.7, python2.7-minimal, python3, python3-apport, python3-distupgrade, python3-gi, python3-minimal, python3-problem-report, python3-software-properties, python3-update-manager, python3.3, python3.3-minimal, rsyslog, shared-mime-info, software-properties-common, software-properties-gtk, tar, tzdata, ubuntu-release-upgrader-core, ubuntu-release-upgrader-gtk, udev, update-manager, update-manager-core, update-notifier, update-notifier-common If this question has already been answered, I'm sorry for the repost, but I would appreciate a link to the fix. Thanks. FYI: Dell Latitude D630, Intel Centrino processor. Also, the updater is currently running what seems to be the update. I will report back when it is done going through its process to let you know if it is in fact the 13.10 update. Update 2: System went through an update, but it wasn't for the OS. I think it was an update for the error message mentioned above. Now the OS update is currently running the 'distribution upgrade' portion of the update. This is further than it had gone before. Again I will report back once this is done to let you know whether or not the update was successful. Final Update: Don't know for sure what happened, but I'm almost sure that the error mentioned above was resolved in the first update prior to the 13.10 update. All set.

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• Web services, Java EE, Spring, DB integration project ideas - maybe data mining related?

  - by saral jain

  I am a graduate Computer Science student (Data Mining and Machine Learning) and have good exposure to core Java (3 years). I have read up on a bunch of stuff on the following topics: Design patterns, Java EE Web services (SOAP and REST), Spring, and Hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff -- over my free time of course -- to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + SVN, maven). Any good project ideas would be really appreciated. I just want to build this stuff to learn, so I don't really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus as it fits with my research but is absolutely not necessary since this project is more to learn to do large scale software development.

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• How to recover data from a drive that was erased during the Ubuntu installation?

  - by user110353

  Yesterday I had two NTFS partitions on my drive. One on which Windows 7 was installed (C Drive) and the other contained my data (D Drive). During Ubuntu installation I choose to install Ubuntu and erase my existing OS. When Ubuntu installed, I was shocked to see no partition. All my data was gone. I must have done something wrong in selecting my option during installation. Is there any way I can recover my D Drive? Thanks in advance.

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• Move Data into the grid for scalable, predictable response times

  - by JuergenKress

  CloudTran is pleased to introduce the availability of the CloudTran Transaction and Persistence Manager for creating scalable, reliable data services on the Oracle Coherence In-Memory Data Grid (IMDG). Use of IMDG architectures has been key to handling today’s web-scale loads because it eliminates database latency by storing important and frequently access data in memory instead of on disk. The CloudTran product lets developers easily use an IMDG for full ACID-compliant transactions without having to be concerned about the location or spread of data. The system has its own implementation of fast, scalable distributed transactions that does NOT depend on XA protocols but still guarantees all ACID properties. Plus, CloudTran asynchronously replicates data going into the IMDG to back-end datastores and back-up data centers, again ensuring ACID properties. CloudTran can be accessed through Java Persistence API (JPA via TopLink Grid) and now, through a new Low-Level API, or LLAPI. This is ideal for use in SOA applications that need data reliability, high availability, performance, and scalability. It is still in its limited beta release, the LLAPI gives developers the ability to use standard put/remove logic available in Coherence and then wrap logic with simple Spring annotations or XML+AspectJ to start transactions. An important feature of LLAPI is the ability to join transactions. This is a common outcome for SOA applications that need to reduce network traffic by aggregating data into single cache entries and then doing SOA service processing in the node holding the data. This results in the need to orchestrate transaction processing across multiple service calls. CloudTran has the capability to handle these “multi-client” transactions at speed with no loss in ACID properties. Developing software around an IMDG like Oracle Coherence is an important choice for today’s web-scale applications and services. But this introduces new architectural considerations to maintain scalability in light of increased network loads and data movement. Without using CloudTran, developers are faced with an incredibly difficult task to ensure data reliability, availability, performance, and scalability when working with an IMDG. Working with highly distributed data that is entirely volatile while stored in memory presents numerous edge cases where failures can result in data loss. The CloudTran product takes care of all of this, leaving developers with the confidence and peace of mind that all data is processed correctly. For those interested in evaluating the CloudTran product and IMDGs, take a look at this link for more information: http://www.CloudTran.com/downloadAPI.ph , or send your questions to [email protected]. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: CloudTran,data grid,M,SOA Community,Oracle SOA,Oracle BPM,BPM,Community,OPN,Jürgen Kress

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• Fusion CRM Data Integration and Migration from Conemis (D)

  - by Richard Lefebvre

  Conemis Data Integration Tools edited for Oracle Fusion CRM offers easy-to-use and pre-configured tools for data integration, data quality, and migration of data from Oracle CRM on Demand and third-party applications to Oracle Fusion CRM Conemis solution includes: Pressure Fueling of data for Fusion CRM Migration covered from legacy to Fusion CRM Data Quality in migration and integration Intuitive Data Housekeeping for IT and Sales Backups of Fusion CRM environments Conemis's solution benefits include Fusion CRM integrated out-of-the-box, connection to other applications, ready-made data mapping, instant availability without installation, fully configurable, shared use in integration expert groups, one GUI for several environments/pods, reduced costs & risks in migration projects, etc. Conemis AG, a German-based data integration company founded in 2009, offers Software and services solution and expertize for Oracle CRM products's data migration and integration. For more details, please contact Dr. Daniel Rolli ([email protected]) www.conemis.com.

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• web services, J2EE, spring, DB integration project ideas- maybe data mining related?

  - by sj88

  Hey guys, I am a graduate CS student (Data mining and machine learning) and have a good exposure to core JAVA (3 years). I have read up a bunch of stuff on Design patterns J2EE Web services( soap and rest) spring and hibernate Java Concurrency - advanced features like Task and Executors. I would now like to do a project combining this stuff (over my free time of corse) to get a better understanding of these things and to kind of make an end to end software (to learn the best design principles etc + svn, maven). Any good project ideas would be really appreciated. I just wanna build this stuff to learn so I dont really mind re-inventing the wheel. Also, anything related to data mining would be an added bonus (fits with my research) but absolutly not necesary (since this project is more to learn to do large scale software developement)

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• How can I store all my level data in a single file instead of spread out over many files?

  - by Jon

  I am currently generating my level data, and saving to disk to ensure that any modifications done to the level are saved. I am storing "chunks" of 2048x2048 pixels into a file. Whenever the player moves over a section that doesn't have a file associated with the position, a new file is created. This works great, and is very fast. My issue, is that as you are playing the file count gets larger and larger. I'm wondering what are techniques that can be used to alleviate the file count, without taking a performance hit. I am interested in how you would store/seek/update this data in a single file instead of multiple files efficiently.

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• Criteria for selecting timeout value?

  - by stijn

  Situation: a piece of software reads frames of data from a file in a seperate thread and puts it on a queue, emptied by another thread. That second thread periodically checks on the queue and fails rather gracefully, by showing an error message stating the read timed out, if no data is available within a certain amount of time. Initially this timeout was set to 200mSec. There was no real reasoning behind that constant though, but it worked fine. We measured on a couple of machines and for large data frames, larger than what would be used by customers, a read took like 20mSec whith no other load on the machine. However one customer now gets timeout errors now and then (on the second try all is fine, probably the file is in cache or the virus scanner leaves it alone). The programmers are like 'well, yeah, but that customer's machine is full of cruft, virus scanners, tons of unneeded background processes etc'. Of course the customer is like 'hey this should just work, shouldn't it'? While the programers have a point, since the software is heavy enough to validate the need for a dedicated machine, that does not make the customer happy. Increasing the timeout to 2 seconds, for example, solves the problem. But I'd like to make a proper decision now instead of just randomly pick some magic constant that is probably ok in 99% of cases. What criteria should be used for that? We could just pick a large number, but that feels wrong. (and then we end up with a program that has the horrible bahaviour of hanging when trying to read from a disconnected drive for instance, whereas we'd rather make it show an error right away). Or we could make the timeout value a user setting, but then we need to ducument it clearly and even then not all customers are tech savy enough to really understand what it does. Or we could try and wait until another customer reports timeouts and increase the value again. And again. Until we find something ok for 99.99% of the cases.. Any good practice for this type of situation?

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• What is the most complicated data structure you have used in a practical situation?

  - by Fanatic23

  The germ for this question came up from a discussion I was having with couple of fellow developers from the industry. Turns out that in a lot of places project managers are wary about complex data structures, and generally insist on whatever exists out-of-the-box from standard library/packages. The general idea seems to be like use a combination of whats already available unless performance is seriously impeded. This helps keeping the code base simple, which to the non-diplomatic would mean "we have high attrition, and newer ones we hire may not be that good". So no bloom filter or skip-lists or splay trees for you CS junkies. So here's the question (again): Whats the most complicated data structure you did or used in office? Helps get a sense of how good/sophisticated real world software are.

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• How can I protect my save data from casual hacking?

  - by Danran

  What options are there for saving game data in a secure manner? I'm interested in solutions specifically tailored for C++. I'm looking for something that is fast and easy to use. I'm only concerned about storing simple information such as Which levels are and are not unlocked The user's score for each level I'm curious again to know what's out there to use, any good libraries to use that give me nice, secure game data files that the average player can't mess with. I just found this here which looks very nice, but it would be great to get some opinions on potential other libraries/options out there.

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• What data-structure/algorithm will allow me to send a list of key/value dictionaries using the least amount of bits?

  - by user12365

  I have server objects that have corresponding client objects. The data to be kept in sync is inside the server object's key/value dictionary. To keep the client objects in sync with the sever objects, I want the server to send the key/value dictionary every frame for each object. What data-structure/algorithm will allow me to send a list of key/value dictionaries using the least amount of bits? Bonus constraint 1: For each type of object, the values of some keys change more often than others. Bonus constraint 2: Memory usage on the server side is relatively expensive.

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• Data structures for storing finger/stylus movements in drawing application?

  - by mattja?øb

  I have a general question about creating a drawing application, the language could be C++ or ObjectiveC with OpenGL. I would like to hear what are the best methods and practices for storing strokes data. Think of the many iPad apps that allow you to draw with your finger (or a stylus) or any other similar function on a desktop app. To summarize, the data structure must: be highly responsive to the movement store precise values (close in space / time) usable for rendering the strokes with complex textures (textures based on the dynamic of the stroke etc) exportable to a text file for saving/loading

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• Unlock the Value of Big Data

  - by Mike.Hallett(at)Oracle-BI&EPM

  Partners should read this comprehensive new e-book to get advice from Oracle and industry leaders on how you can use big data to generate new business insights and make better decisions for your customers. “Big data represents an opportunity averaging 14% of current revenue.” —From the Oracle big data e-book, Meeting the Challenge of Big Data You’ll gain instant access to: Straightforward approaches for acquiring, organizing, and analyzing data Architectures and tools needed to integrate new data with your existing investments Survey data revealing how leading companies are using big data, so you can benchmark your progress Expert resources such as white papers, analyst videos, 3-D demos, and more If you want to be ready for the data deluge, Meeting the Challenge of Big Data is a must-read. Register today for the e-book and read it on your computer or Apple iPad.  

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• Cloud consolidation handling multi databases

  - by llaszews

  I have spoken about virtualization and the different types of virtualization. Which includes OS zones, application server domains, database schemas, VLANS and other approaches. Another approach is to create a virtually federated database in the cloud. DBSpaces is a company that has a technology to created a virtually federated database in the cloud. DBSpaces is a Virtual Database technology that allows an organisation thru a single Virtual Database access multiple data sources (or database spaces) in real-time. Additionally dbSpaces can be configured to access an organisations data internally using a remote gateway so that their dbSpace is seamless across the Public and Private cloud.

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• Flex Style Programming: handling dynamically created controls

  This article demonstrates how to ease the work with dynamically created Flex controls using interfaces and data binding

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• Android: Having trouble creating a subclass of application to share data with multiple Activities

  - by Mike

  Hello, I just finished a couple of activities in my game and now I was going to start to wire them both up to use real game data, instead of the test data I was using just to make sure each piece worked. Since multiple Activities will need access to this game data, I started researching the best way to pass this data to my Activities. I know about using putExtra with intents, but my GameData class has quite a bit of data and not just simple key value pairs. Besides quite a few basic data types, it also has large arrays. I didn't really want to try and pass all that, unless I can pass the entire object, instead of just key/data pairs. I read the following post and thought it would be the way to go, but so far, I haven't got it to work. Android: How to declare global variables? I created a simple test app to try this method out, but it keeps crashing and my code seems to look the same as in the post above - except I changed the names. Here is the error I am getting. Can someone help me understand what I am doing wrong? 12-23 00:50:49.762: ERROR/AndroidRuntime(608): Caused by: java.lang.ClassCastException: android.app.Application It crashes on the following statement: GameData newGameData = ((GameData)getApplicationContext()); Here is my code: package mrk.examples.StaticGameData; import android.app.Application; public class GameData extends Application { private int intTest; GameData () { intTest = 0; } public int getIntTest(){ return intTest; } public void setIntTest(int value){ intTest = value; } } // My main activity package mrk.examples.StaticGameData; import android.app.Activity; import android.content.Intent; import android.os.Bundle; import android.util.Log; public class StaticGameData extends Activity { int intStaticTest; /** Called when the activity is first created. */ @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.main); GameData newGameData = ((GameData)getApplicationContext()); newGameData.setIntTest(0); intStaticTest = newGameData.getIntTest(); Log.d("StaticGameData", "Well: IntStaticTest = " + intStaticTest); newGameData.setIntTest(1); Log.d("StaticGameData", "Well: IntStaticTest = " + intStaticTest + " newGameData: " + newGameData.getIntTest()); Intent intentNew = new Intent(this, PassData2Activity.class); startActivity (intentNew); } } // My test Activity to see if it can access the data and its previous state from the last activity package mrk.examples.StaticGameData; import android.app.Activity; import android.os.Bundle; import android.util.Log; public class PassData2Activity extends Activity { @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.main); GameData gamedataPass = ((GameData)getApplicationContext()); Log.d("PassData2Activity", "IntTest = " + gamedataPass.getIntTest()); } } Below is the relevant portion of my manifest: <application android:icon="@drawable/icon" android:label="@string/app_name"> <activity android:name=".StaticGameData" android:label="@string/app_name"> <intent-filter> <action android:name="android.intent.action.MAIN" /> <category android:name="android.intent.category.LAUNCHER" /> </intent-filter> </activity> <activity android:name=".PassData2Activity"></activity> </application> <application android:name=".GameData" android:icon="@drawable/icon" android:label="@string/app_name"> </application> Thanks in advance for helping me understand why this code is crashing. Also, if you think this is just the wrong approach to let multiple activities have access to the same data, please give your suggestion. Please keep in mind that I am talking about quite a few variables and some large arrays.

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• Best practice? iphone: sync data

  - by Andy Jacobs

  So i'm working on a project where there is data visualization. My ultimate goal is that i have a set of data shipped with the download of the iphone app. But i want it connected to a backend, that if the iphone has a connection with the internet. it can sync the changes from the backend. The syncing is no problem or the connection between the backend & the iphone. But what should i use as data storage on my iphone? what is the best way. my data is purely text and doesn't have to be secure. But it's main feature should be updating certain parts of data ( adding and deleting are not so important ) so what is the easiest (read: least time consuming development ) or the best way? sqlite? plist? ..?

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• Explaining persistent data structures in simple terms

  - by Jason Baker

  I'm working on a library for Python that implements some persistent data structures (mainly as a learning exercise). However, I'm beginning to learn that explaining persistent data structures to people unfamiliar with them can be difficult. Can someone help me think of an easy (or at least the least complicated) way to describe persistent data structures to them? I've had a couple of people tell me that the documentation that I have is somewhat confusing. (And before anyone asks, no I don't mean persistent data structures as in persisted to the file system. Google persistent data structures if you're unclear on this.)

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• Aging Data Structure in C#

  - by thelsdj

  I want a data structure that will allow querying how many items in last X minutes. An item may just be a simple identifier or a more complex data structure, preferably the timestamp of the item will be in the item, rather than stored outside (as a hash or similar, wouldn't want to have problems with multiple items having same timestamp). So far it seems that with LINQ I could easily filter items with timestamp greater than a given time and aggregate a count. Though I'm hesitant to try to work .NET 3.5 specific stuff into my production environment yet. Are there any other suggestions for a similar data structure? The other part that I'm interested in is aging old data out, If I'm only going to be asking for counts of items less than 6 hours ago I would like anything older than that to be removed from my data structure because this may be a long-running program.

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