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  • database design in google app engine

    - by iamgopal
    hi , i am designing a simple project based to do list. the idea is to define tasks under project ( no workflow - just "task is completed" or not is required. ) in a hirarchial way. i.e. each task has multiple task and that task may have other multiple task. a project can be said to be completed if all task under that project are completed. , i tought of using refrenceproeperty to create hirarchy , but could not figure out easy way ( which do not take more than 30 seconds to find all the children of a project and check weather it is completed or not ) . to detect if project is complete or not. how to design database for such job ? and also , if i need to copy the project in order to define another project , how to copy hierarchical data ?

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  • Google datastore stats

    - by Keyur
    I am querying the __Stat_Kind__ kind. It does not return me entities about kinds that currently exist in the datastore but it includes entities about kinds that I had deleted more than a week ago. I am not so much concerned about it returning me the non-existent kinds - the doc does mention this scenario after all. But I am concerned that it does not return me info about my current kinds. Is this a known issue or am I doing something wrong? To folks on the app engine team: Also, on the dev server neither __Stat_Kind__ nor __Stat_Total__ return any entities. Which means I need to deploy my app to appspot before I can test this behavior. It would be nice if the dev server did return some basic info. Thanks, Keyur

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  • Listing down stored records localStorage | Google Chrome Extensions

    - by Jamie
    How do I get to list down the stored records in the for loop? Basically I want it to list down the records like this: '<div id="record_' + number + '">' + localstorage value + '</div>' The number in the class should add 1 every record, e.g. 1, 2, 3, 4 every record it lists down, and so on. The localstorage value should show the localStorage[] but the problem is, the localStorage name has the same, e.g. (clicks on button) it will save the value of the URL into a localStorage I then open the application and shows the window.html inside there is list of stored records by using this: '<div id="record_' + number + '">' + localstorage value + '</div>' INCLUDING the record number to add per record 1, 2, 3, etc... like this: <div id="record_1">localstorage value</div> <div id="record_2">localstorage value</div> <div id="record_3">localstorage value</div> <div id="record_4">localstorage value</div> <div id="record_5">localstorage value</div> <div id="record_6">localstorage value</div> etc...

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  • Problem about Chrome Extension

    - by Gnu
    Hi! I try to write an extension and i saw the very restricted policy security. I should create an extension that allows me to listen and download podcast from web. It is possible? I use Chrome OS with VMWare, this OS has additional Api than Google Chrome Browser? Thanks

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  • Google App Engine and SQL LIKE

    - by jb
    Is there any way to query GAE datastore with filter similar to SQL LIKE statement? For example, if a class has a string field, and I want to find all classes that have some specific keyword in that string, how can I do that? It looks like JDOQL's matches() don't work... Am I missing something? Any comments, links or code fragments are welcome

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  • Google App Engine - DELETE JPQL Query and Cascading

    - by Taylor Leese
    I noticed that the children of PersistentUser are not deleted when using the JPQL query below. However, the children are deleted if I perform an entityManager.remove(object). Is this expected? Why doesn't the JPQL query below also perform a cascaded delete? @OneToMany(mappedBy = "persistentUser", cascade = CascadeType.ALL) private Collection<PersistentLogin> persistentLogins; ... @Override @Transactional public final void removeUserTokens(final String username) { final Query query = entityManager.createQuery( "DELETE FROM PersistentUser p WHERE username = :username"); query.setParameter("username", username); query.executeUpdate(); }

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  • Google App Engine - Cannot See Children in Datastore Viewer

    - by Taylor L
    I have the following kinds/relationships in my datastore: UserAccount 1-to-1 PersistentLogin 1-to-many PersistentLogins They are all in the same entity group and UserAccount is the parent. Should I expect to see the other kinds in the datastore viewer? Currently, I only see UserAccount entities, but I'm pretty confident the other entities are there because my code is working as expected. Is this just a nuance of the datastore viewer?

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  • Intermittent Issue Writing to Google Appengine Datastore

    - by user242153
    Hi, I have a functioning app and recently have had intermittent problems writing to the datastore. I did not make any relevant code changes, however in the last few days my attempts to write to the datastore sometimes work and sometimes don't. I am trying to save an object that is in a many to one relationship with an existing persisted parent. So, the logic works like this: 1) Parent pulled from the datastore 2) Child created / instantiated using constructor 3) Parent.addSingleChild(child); // the "addSingleChild" method just adds the object argument to the collection of children 4) child.setParent(Parent); // sets the Parent object to the parent field I am using transactions as explained in the documentation ending with "finally {if (tx.isActive()) {tx.rollback(); } }" When the servlet is called, the parent is called from the datastore and the child object is created and added to the many to one mapping to the pre-existing parent. The child should automatically be persisted, since the parent is already persistent, and the child is added to the collection of children that map to the parent. And it worked this way in the past. However, to be sure, i did add a pm.makePersistent(child). Doesn't seem to help, still have the intermittent problem. Any suggestions would be appreciated, and if you need to see the actual code I can post. Thanks

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  • Is C# WebAPI worth it? Can I use standart MVC4 to create my API?

    - by Steve
    I need to build a massive API and I'm trying out WebAPI instead of default MVC4 projects and it seems that it just makes things more difficult. Can have only 4 methods in controller Get, Post, Put, Delete, if I want more I need to modify route for that particular method FluentValidation won't work with WebAPI so I need to use DataAnnotations which I really don't want to. Can't use dynamic return data-types My question is: Would it really be that bad if I would use MVC4 project and use default ActionResults that return Json? What are real advantages of using WebAPI, why did they even made them in the first place if you can easily convert your project to API?

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  • crypto++ / pycrypto with google app engine

    - by Joey
    Hi, I am using crypto++ to send AES encrypted http requests to app engine, planning to decrypt them there. My plan is to encrypt the portion after the '?' so it's something like: http://myurl.com/Command?eiwjfsdlfjldkjfs when it is encrypted. However, I'm stuck figuring out how to decrypt it at the other end and still user get() on the response to get the args. Can someone advise if I am taking the wrong approach? Should I be decrypting and not using get() but my own parser then?

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  • Google App Engine datastore encoding?

    - by sernaferna
    I'm using the GAE datastore for a Java application, and storing some text that will be in numerous languages. In my servlet, I'm first checking to see if there's any data in the data store, and, if not, I'm creating some, similar to the following: ArrayList<Lang> list = new ArrayList<Lang>(); list.add(new Lang("EN", "English", 1)); list.add(new Lang("ES", "Español", 0)); //more languages here... PersistenceManager pm = PMF.get().getPersistenceManager(); for(Lang l : list) { pm.makePersistent(l); } Since this is using JDO, I guess I should include the relevent parts of the Lang class too: @PersistenceCapable public class Lang { @PrimaryKey private String code; @Persistent private String name; @Persistent private int popularity; // getters & setters & constructors... } However, the non-ASCII characters are giving me grief. I've set my Eclipse project to use the UTF-8 encoding instead of the default Cp1252, so I think I'm okay from that perspective, but when I use the App Engine Data Viewer to look at my data, that Español entry becomes Español, and when I click on it to view it, I get a 500 Server Error. (There are some other entries with right-to-left text that don't even show up in the Data Viewer at all, but one problem at a time...) Is there anything special I can do in my code to set the character encoding, or specify to GAE that the data I'm storing is UTF-8? Or is the problem on the Eclipse side, and is there something I should be doing with my Java code?

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  • Google App-Engine Java Batch Update

    - by Manjoor
    I need to upload a .csv file and save the records in bigtable. My application successfully parse 200 the records in the csv files and save to table. Here is my code to save the data. for (int i=0;i<lines.length -1;i++) //lines hold total records in csv file { String line = lines[i]; //The record have 3 columns integer,integer,Text if(line.length() > 15) { int n = line.indexOf(","); if (n>0) { int ID = lInteger.parseInt(ine.substring(0,n)); int n1 = line.indexOf(",", n + 2); if(n1 > n) { int Col1 = Integer.parseInt(line.substring(n + 1, n1)); String Col2 = line.substring(n1 + 1); myTable uu = new myTable(); uu.setId(ID); uu.setCol1(MobNo); Text t = new Text(Col2); uu.setCol2(t); PersistenceManager pm = PMF.get().getPersistenceManager(); pm.makePersistent(uu); pm.close(); } } } } But when no of records grow it gives timeout error. The csv file may have upto 800 records. Is it possible to do that in App-Engine? (something like batch update)

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  • Change|Assign parent for the Model instance on Google App Engine Datastore

    - by Vladimir Prudnikov
    Is it possible to change or assign new parent to the Model instance that already in datastore? For example I need something like this task = db.get(db.Key(task_key)) project = db.get(db.Key(project_key)) task.parent = project task.put() but it doesn't works this way because task.parent is built-in method. I was thinking about creating a new Key instance for the task but there is no way to change key as well. Any thoughts?

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  • innerHTML parse for Google Chrome?

    - by user554095
    Hey all. I am adding text to a textArea via Javascript in Chrome (doing it a totally different way in Firefox/IE as Chrome does not support contentWindows). Here is my code: document.getElementById("vB_Editor_001_textarea").value += '<font color="white"><b>' + numberLabel + ':</b> ' + armory + '</font><br/>'; This HTML is getting put directly into the textArea without being parsed. How can I make it parse into regular text with the HTML markup when it hits the textArea? Thanks!

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  • NoSQL Memcached API for MySQL: Latest Updates

    - by Mat Keep
    With data volumes exploding, it is vital to be able to ingest and query data at high speed. For this reason, MySQL has implemented NoSQL interfaces directly to the InnoDB and MySQL Cluster (NDB) storage engines, which bypass the SQL layer completely. Without SQL parsing and optimization, Key-Value data can be written directly to MySQL tables up to 9x faster, while maintaining ACID guarantees. In addition, users can continue to run complex queries with SQL across the same data set, providing real-time analytics to the business or anonymizing sensitive data before loading to big data platforms such as Hadoop, while still maintaining all of the advantages of their existing relational database infrastructure. This and more is discussed in the latest Guide to MySQL and NoSQL where you can learn more about using the APIs to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database The native Memcached API is part of the MySQL 5.6 Release Candidate, and is already available in the GA release of MySQL Cluster. By using the ubiquitous Memcached API for writing and reading data, developers can preserve their investments in Memcached infrastructure by re-using existing Memcached clients, while also eliminating the need for application changes. Speed, when combined with flexibility, is essential in the world of growing data volumes and variability. Complementing NoSQL access, support for on-line DDL (Data Definition Language) operations in MySQL 5.6 and MySQL Cluster enables DevOps teams to dynamically update their database schema to accommodate rapidly changing requirements, such as the need to capture additional data generated by their applications. These changes can be made without database downtime. Using the Memcached interface, developers do not need to define a schema at all when using MySQL Cluster. Lets look a little more closely at the Memcached implementations for both InnoDB and MySQL Cluster. Memcached Implementation for InnoDB The Memcached API for InnoDB is previewed as part of the MySQL 5.6 Release Candidate. As illustrated in the following figure, Memcached for InnoDB is implemented via a Memcached daemon plug-in to the mysqld process, with the Memcached protocol mapped to the native InnoDB API. Figure 1: Memcached API Implementation for InnoDB With the Memcached daemon running in the same process space, users get very low latency access to their data while also leveraging the scalability enhancements delivered with InnoDB and a simple deployment and management model. Multiple web / application servers can remotely access the Memcached / InnoDB server to get direct access to a shared data set. With simultaneous SQL access, users can maintain all the advanced functionality offered by InnoDB including support for Foreign Keys, XA transactions and complex JOIN operations. Benchmarks demonstrate that the NoSQL Memcached API for InnoDB delivers up to 9x higher performance than the SQL interface when inserting new key/value pairs, with a single low-end commodity server supporting nearly 70,000 Transactions per Second. Figure 2: Over 9x Faster INSERT Operations The delivered performance demonstrates MySQL with the native Memcached NoSQL interface is well suited for high-speed inserts with the added assurance of transactional guarantees. You can check out the latest Memcached / InnoDB developments and benchmarks here You can learn how to configure the Memcached API for InnoDB here Memcached Implementation for MySQL Cluster Memcached API support for MySQL Cluster was introduced with General Availability (GA) of the 7.2 release, and joins an extensive range of NoSQL interfaces that are already available for MySQL Cluster Like Memcached, MySQL Cluster provides a distributed hash table with in-memory performance. MySQL Cluster extends Memcached functionality by adding support for write-intensive workloads, a full relational model with ACID compliance (including persistence), rich query support, auto-sharding and 99.999% availability, with extensive management and monitoring capabilities. All writes are committed directly to MySQL Cluster, eliminating cache invalidation and the overhead of data consistency checking to ensure complete synchronization between the database and cache. Figure 3: Memcached API Implementation with MySQL Cluster Implementation is simple: 1. The application sends reads and writes to the Memcached process (using the standard Memcached API). 2. This invokes the Memcached Driver for NDB (which is part of the same process) 3. The NDB API is called, providing for very quick access to the data held in MySQL Cluster’s data nodes. The solution has been designed to be very flexible, allowing the application architect to find a configuration that best fits their needs. It is possible to co-locate the Memcached API in either the data nodes or application nodes, or alternatively within a dedicated Memcached layer. The benefit of this flexible approach to deployment is that users can configure behavior on a per-key-prefix basis (through tables in MySQL Cluster) and the application doesn’t have to care – it just uses the Memcached API and relies on the software to store data in the right place(s) and to keep everything synchronized. Using Memcached for Schema-less Data By default, every Key / Value is written to the same table with each Key / Value pair stored in a single row – thus allowing schema-less data storage. Alternatively, the developer can define a key-prefix so that each value is linked to a pre-defined column in a specific table. Of course if the application needs to access the same data through SQL then developers can map key prefixes to existing table columns, enabling Memcached access to schema-structured data already stored in MySQL Cluster. Conclusion Download the Guide to MySQL and NoSQL to learn more about NoSQL APIs and how you can use them to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database See how to build a social app with MySQL Cluster and the Memcached API from our on-demand webinar or take a look at the docs Don't hesitate to use the comments section below for any questions you may have 

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  • Nevron SharePoint Vision 2010 Vol.1 Now Available - advanced pivot Charts and Gauges for SharePoint

    Nevron Software - leader in enterprise and scientific data visualization technology, announces the availability of the new Nevron SharePoint Vision 2010 Vol.1 the Data Visualization suite for SharePoint! The major release is now available for download and includes Nevron Chart and Gauge web parts for WSS and MOSS 2007. Analyze your data by adding interactive, AJAX-enabled pivot charts and gauges to your SharePoint portals, all without using Visual Studio. Nevron Gauge for SharePoint delivers a...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • The Lord of the Rings Project Charts Middle Earth by the Numbers

    - by Jason Fitzpatrick
    How many characters from the Lord of the Rings series can you name? 923? That’s the number of entries in the LOTR Project–a collection of data that links family trees, timelines, and statistical curiosities about Middle Earth. In addition to families trees and the above chart mapping out the shift in lifespans over the ages of Middle Earth, you’ll find charts mapping out age distributions, the race and gender composition of Middle Earth, populations, time and distance traveled by the Hobbits in pursuit of their quest, and so more. The site is a veritable almanac of trivia about the Lord of the Rings and related books and media. Hit up the link below to explore the facts and figures of Middle Earth. LOTR Project [via Flowing Data] How Hackers Can Disguise Malicious Programs With Fake File Extensions Can Dust Actually Damage My Computer? What To Do If You Get a Virus on Your Computer

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  • Custom Themes Introduced in Gmail

    - by Rekha
    As we all know, Google Team introduced a number of HD themes last November. Now they are giving us an option of customizing our own background. We can put in our own images, select from our Google+ photos or just paste any image URL. Or we can browse the Featured Photos section to find the image that we like. They are introducing custom themes with two options, Light and Dark. In the Featured tab, we can simply search for specific kind of pictures like “hdr scenery” or “bokeh wallpaper” and so on. We can easily maintain our personal or work accounts with different background images that suites the best. The company announced this information in their blog today.

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