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• JSON documents and SQL database tables

  - by Sharmi

  Do JSON documents in RavenDB cost more than the SQL Server tables in terms of the storage and query costs. And also for centralized access, which one is better? What are the disadvantages of NON-SQL databases like RavenDB,CouchDB,MongoDB, etc... ? I can get that some of these are open source and support more datatypes like enums,objects,etc. but otherwise i don't see any big advantage? Currently there is a problem of storing huge amount of logs from various locations. I am planning to suggest these to my manager so just need a clear idea.

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• Which NoSQL db to use with C?

  - by systemsfault

  Hello all, I'm working on an application that I'm going to write with C and i am considering to use a nosql db for storing timeseries data with at most 8 or 9 fields. But in every 5 minutes there will huge write operations such as 2-10 million rows and then there will be reads(but performance is not as crucial in read as in the write operation). I'm considering to use a NoSQL db here in order to store the data but couldn't decide on which one to use. Couchdb seems to have a stable driver called pillowtalk for C; but Mongo's driver doesn't look as promising as pillowtalk. I'm also open to other suggestions. What is your recommendation?

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• Large scale storage for incrementally-appended documents?

  - by Ben Dilts

  I need to store hundreds of thousands (right now, potentially many millions) of documents that start out empty and are appended to frequently, but never updated otherwise or deleted. These documents are not interrelated in any way, and just need to be accessed by some unique ID. Read accesses are some subset of the document, which almost always starts midway through at some indexed location (e.g. "document #4324319, save #53 to the end"). These documents start very small, at several KB. They typically reach a final size around 500KB, but many reach 10MB or more. I'm currently using MySQL (InnoDB) to store these documents. Each of the incremental saves is just dumped into one big table with the document ID it belongs to, so reading part of a document looks like "select * from saves where document_id=14 and save_id 53 order by save_id", then manually concatenating it all together in code. Ideally, I'd like the storage solution to be easily horizontally scalable, with redundancy across servers (e.g. each document stored on at least 3 nodes) with easy recovery of crashed servers. I've looked at CouchDB and MongoDB as possible replacements for MySQL, but I'm not sure that either of them make a whole lot of sense for this particular application, though I'm open to being convinced. Any input on a good storage solution?

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• What scalability problems have you solved using a NoSQL data store?

  - by knorv

  NoSQL refers to non-relational data stores that break with the history of relational databases and ACID guarantees. Popular open source NoSQL data stores include: Cassandra (tabular, written in Java, used by Facebook, Twitter, Digg, Rackspace, Mahalo and Reddit) CouchDB (document, written in Erlang, used by Engine Yard and BBC) Dynomite (key-value, written in C++, used by Powerset) HBase (key-value, written in Java, used by Bing) Hypertable (tabular, written in C++, used by Baidu) Kai (key-value, written in Erlang) MemcacheDB (key-value, written in C, used by Reddit) MongoDB (document, written in C++, used by Sourceforge, Github, Electronic Arts and NY Times) Neo4j (graph, written in Java, used by Swedish Universities) Project Voldemort (key-value, written in Java, used by LinkedIn) Redis (key-value, written in C, used by Engine Yard, Github and Craigslist) Riak (key-value, written in Erlang, used by Comcast and Mochi Media) Ringo (key-value, written in Erlang, used by Nokia) Scalaris (key-value, written in Erlang, used by OnScale) ThruDB (document, written in C++, used by JunkDepot.com) Tokyo Cabinet/Tokyo Tyrant (key-value, written in C, used by Mixi.jp (Japanese social networking site)) I'd like to know about specific problems you - the SO reader - have solved using data stores and what NoSQL data store you used. Questions: What scalability problems have you used NoSQL data stores to solve? What NoSQL data store did you use? What database did you use before switching to a NoSQL data store? I'm looking for first-hand experiences, so please do not answer unless you have that.

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• Non-Relational Database Design

  - by Ian Varley

  I'm interested in hearing about design strategies you have used with non-relational "nosql" databases - that is, the (mostly new) class of data stores that don't use traditional relational design or SQL (such as Hypertable, CouchDB, SimpleDB, Google App Engine datastore, Voldemort, Cassandra, SQL Data Services, etc.). They're also often referred to as "key/value stores", and at base they act like giant distributed persistent hash tables. Specifically, I want to learn about the differences in conceptual data design with these new databases. What's easier, what's harder, what can't be done at all? Have you come up with alternate designs that work much better in the non-relational world? Have you hit your head against anything that seems impossible? Have you bridged the gap with any design patterns, e.g. to translate from one to the other? Do you even do explicit data models at all now (e.g. in UML) or have you chucked them entirely in favor of semi-structured / document-oriented data blobs? Do you miss any of the major extra services that RDBMSes provide, like relational integrity, arbitrarily complex transaction support, triggers, etc? I come from a SQL relational DB background, so normalization is in my blood. That said, I get the advantages of non-relational databases for simplicity and scaling, and my gut tells me that there has to be a richer overlap of design capabilities. What have you done? FYI, there have been StackOverflow discussions on similar topics here: the next generation of databases changing schemas to work with Google App Engine choosing a document-oriented database

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• What database systems should an startup company consider?

  - by Am

  Right now I'm developing the prototype of a web application that aggregates large number of text entries from a large number of users. This data must be frequently displayed back and often updated. At the moment I store the content inside a MySQL database and use NHibernate ORM layer to interact with the DB. I've got a table defined for users, roles, submissions, tags, notifications and etc. I like this solution because it works well and my code looks nice and sane, but I'm also worried about how MySQL will perform once the size of our database reaches a significant number. I feel that it may struggle performing join operations fast enough. This has made me think about non-relational database system such as MongoDB, CouchDB, Cassandra or Hadoop. Unfortunately I have no experience with either. I've read some good reviews on MongoDB and it looks interesting. I'm happy to spend the time and learn if one turns out to be the way to go. I'd much appreciate any one offering points or issues to consider when going with none relational dbms?

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• Multiple inequality conditions (range queries) in NoSQL

  - by pableu

  Hi, I have an application where I'd like to use a NoSQL database, but I still want to do range queries over two different properties, for example select all entries between times T1 and T2 where the noiselevel is smaller than X. On the other hand, I would like to use a NoSQL/Key-Value store because my data is very sparse and diverse, and I do not want to create new tables for every new datatype that I might come across. I know that you cannot use multiple inequality filters for the Google Datastore (source). I also know that this feature is coming (according to this). I know that this is also not possible in CouchDB (source). I think I also more or less understand why this is the case. Now, this makes me wonder.. Is that the case with all NoSQL databases? Can other NoSQL systems make range queries over two different properties? How about, for example, Mongo DB? I've looked in the Documentation, but the only thing I've found was the following snippet in their docu: Note that any of the operators on this page can be combined in the same query document. For example, to find all document where j is not equal to 3 and k is greater than 10, you'd query like so: db.things.find({j: {$ne: 3}, k: {$gt: 10} }); So they use greater-than and not-equal on two different properties. They don't say anything about two inequalities ;-) Any input and enlightenment is welcome :-)

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• Is it better to use a relational database or document-based database for an app like Wufoo?

  - by mboyle

  I'm working on an application that's similar to Wufoo in that it allows our users to create their own databases and collect/present records with auto generated forms and views. Since every user is creating a different schema (one user might have a database of their baseball card collection, another might have a database of their recipes) our current approach is using MySQL to create separate databases for every user with its own tables. So in other words, the databases our MySQL server contains look like: main-web-app-db (our web app containing tables for users account info, billing, etc) user_1_db (baseball_cards_table) user_2_db (recipes_table) .... And so on. If a user wants to set up a new database to keep track of their DVD collection, we'd do a "create database ..." with "create table ...". If they enter some data in and then decide they want to change a column we'd do an "alter table ....". Now, the further along I get with building this out the more it seems like MySQL is poorly suited to handling this. 1) My first concern is that switching databases every request, first to our main app's database for authentication etc, and then to the user's personal database, is going to be inefficient. 2) The second concern I have is that there's going to be a limit to the number of databases a single MySQL server can host. Pretending for a moment this application had 500,000 user databases, is MySQL designed to operate this way? What if it were a million, or more? 3) Lastly, is this method going to be a nightmare to support and scale? I've never heard of MySQL being used in this way so I do worry about how this affects things like replication and other methods of scaling. To me, it seems like MySQL wasn't built to be used in this way but what do I know. I've been looking at document-based databases like MongoDB, CouchDB, and Redis as alternatives because it seems like a schema-less approach to this particular problem makes a lot of sense. Can anyone offer some advice on this?

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• NoSQL DB for .Net document-based database (ECM)

  - by Dane

  I'm halfway through coding a basic multi-tenant SaaS ECM solution. Each client has it's own instance of the database / datastore, but the .Net app is single instance. The documents are pretty much read only (i.e. an image archive of tiffs or PDFs) I've used MSSQL so far, but then started thinking this might be viable in a NoSQL DB (e.g. MongoDB, CouchDB). The basic premise is that it stores documents, each with their own particular indexes. Each tenant can have multiple document types. e.g. One tenant might have an invoice type, which has Customer ID, Invoice Number and Invoice Date. Another tenant might have an application form, which has Member Number, Application Number, Member Name, and Application Date. So far I've used the old method which Sharepoint (used?) to use, and created a document table which has int_field_1, int_field_2, date_field_1, date_field_2, etc. Then, I've got a "mapping" table which stores the customer specific index name, and the database field that will map to. I've avoided the key-value pair model in the DB due to volume of documents. This way, we can support multiple document types in the one table, and get reasonably high performance out of it, and allow for custom document type searches (i.e. user selects a document type, then they're presented with a list of search fields). However, a NoSQL DB might make this a lot simpler, as I don't need to worry about denormalizing the document. However, I've just got concerns about the rest of the data around a document. We store an "action history" against the document. This tracks views, whether someone emails the document from within the system, and other "future" functionality (e.g. faxing). We have control over the document load process, so we can manipulate the data however it needs to be to get it in the document store (e.g. assign unique IDs). Users will not be adding in their own documents, so we shouldn't need to worry about ACID compliance, as the documents are relatively static. So, my questions I guess : Is a NoSQL DB a good fit Is MongoDB the best for Asp.Net (I saw Raven and Velocity, but they're still kinda beta) Can I store a key for each document, and then store the action history in a MSSQL DB with this key? I don't need to do joins, it would be if a person clicks "View History" against a document. How would performance compare between the two (NoSQL DB vs denormalized "document" table) Volumes would be up to 200,000 new documents per month for a single tenant. My current scaling plan with the SQL DB involves moving the SQL DB into a cluster when certain thresholds are reached, and then reviewing partitioning and indexing structures.

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• I'm searching for a messaging platform (like XMPP) that allows tight integration with a web applicat

  - by loxs

  Hi, At the company I work for, we are building a cluster of web applications for collaboration. Things like accounting, billing, CRM etc. We are using a RESTfull technique: For database we use CouchDB Different applications communicate with one another and with the database via http. Besides, we have a single sign on solution, so that when you login in one application, you are automatically logged to the other. For all apps we use Python (Pylons). Now we need to add instant messaging to the stack. We need to support both web and desktop clients. But just being able to chat is not enough. We need to be able to achieve all of the following (and more similar things). When somebody gets assigned to a task, they must receive a message. I guess this is possible with some system daemon. There must be an option to automatically group people in groups by lots of different properties. For example, there must be groups divided both by geographical location, by company division, by job type (all the programers from different cities and different company divisions must form a group), so that one can send mass messages to a group of choice. Rooms should be automatically created and destroyed. For example when several people visit the same invoice, a room for them must be automatically created (and they must auto-join). And when all leave the invoice, the room must be destroyed. Authentication and authorization from our applications. I can implement this using custom solutions like hookbox http://hookbox.org/docs/intro.html but then I'll have lots of problems in supporting desktop clients. I have no former experience with instant messaging. I've been reading about this lately. I've been looking mostly at things like ejabberd. But it has been a hard time and I can't find whether what I want is possible at all. So I'd be happy if people with experience in this field could help me with some advice, articles, tales of what is possible etc.

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• KeepAliveException when using HttpWebRequest.GetResponse

  - by Lucas

  I am trying to POST an attachment to CouchDB using the HttpWebRequest. However, when I attempt "response = (HttpWebResponse)httpWebRequest.GetResponse();" I receive a WebException with the message "The underlying connection was closed: A connection that was expected to be kept alive was closed by the server." I have found some articles stating that setting the keepalive to false and httpversion to 1.0 resolves the situation. I am finding that it does not yeilding the exact same error, plus I do not want to take that approach as I do not want to use the 1.0 version due to how it handles the connection. Any suggestions or ideas are welcome. I'll try them all until one works! public ServerResponse PostAttachment(Server server, Database db, Attachment attachment) { Stream dataStream; HttpWebResponse response = null; StreamReader sr = null; byte[] buffer; string json; string boundary = "----------------------------" + DateTime.Now.Ticks.ToString("x"); string headerTemplate = "Content-Disposition: form-data; name=\"_attachments\"; filename=\"" + attachment.Filename + "\"\r\n Content-Type: application/octet-stream\r\n\r\n"; byte[] headerbytes = System.Text.Encoding.UTF8.GetBytes(headerTemplate); byte[] boundarybytes = System.Text.Encoding.ASCII.GetBytes("\r\n--" + boundary + "\r\n"); HttpWebRequest httpWebRequest = (HttpWebRequest)WebRequest.Create("http://" + server.Host + ":" + server.Port.ToString() + "/" + db.Name + "/" + attachment.Document.Id); httpWebRequest.ContentType = "multipart/form-data; boundary=" + boundary; httpWebRequest.Method = "POST"; httpWebRequest.KeepAlive = true; httpWebRequest.ContentLength = attachment.Stream.Length + headerbytes.Length + boundarybytes.Length; if (!string.IsNullOrEmpty(server.EncodedCredentials)) httpWebRequest.Headers.Add("Authorization", server.EncodedCredentials); if (!attachment.Stream.CanRead) throw new System.NotSupportedException("The stream cannot be read."); // Get the request stream try { dataStream = httpWebRequest.GetRequestStream(); } catch (Exception e) { throw new WebException("Failed to get the request stream.", e); } buffer = new byte[server.BufferSize]; int bytesRead; dataStream.Write(headerbytes,0,headerbytes.Length); attachment.Stream.Position = 0; while ((bytesRead = attachment.Stream.Read(buffer, 0, buffer.Length)) > 0) { dataStream.Write(buffer, 0, bytesRead); } dataStream.Write(boundarybytes, 0, boundarybytes.Length); dataStream.Close(); // send the request and get the response try { response = (HttpWebResponse)httpWebRequest.GetResponse(); } catch (Exception e) { throw new WebException("Invalid response received from server.", e); } // get the server's response json try { dataStream = response.GetResponseStream(); sr = new StreamReader(dataStream); json = sr.ReadToEnd(); } catch (Exception e) { throw new WebException("Failed to access the response stream.", e); } // close up all our streams and response sr.Close(); dataStream.Close(); response.Close(); // Deserialize the server response return ConvertTo.JsonToServerResponse(json); }

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• Difference between Document-oriented-DB and Bigtable clones

  - by chen

  We are looking for a suitable storage engine for our weblog history data. We looked at Bigtable's paper and understand it is suitable to us well. However, I also understand that Document-oriented-DB such as MongoDB seems to provide a little more powerful schema power -- i.e, it can model our data as well. I wonder how nowadays ppl choose a scalable NoSQL DB --- I read enough articles like "we looked at A, B and C, and we decided to use C". But I'd like to see some benchmark number. What I am saying is that if MongoDB and the like can provide same level of performance as Bigtable clones, why don't web companies choose it (preparing to deal with various potentially more complex data problem)? Thanks, By the way, I read an article (which convinced me at the moment) saying Cassandra does not fit the M/R operation, any comments?

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• Getting-started: Setup Database for Node.js

  - by Emile Petrone

  I am new to node.js but am excited to try it out. I am using Express as a web framework, and Jade as a template engine. Both were easy to get setup following this tutorial from Node Camp. However the one problem I am finding is I can't find a simple tutorial for getting a DB set up. I am trying to build a basic chat application (store session and message). Does anyone know of a good tutorial? This other SO post talks about dbs to use- but as this is very different from the Django/MySQL world I've been in, I want to make sure I understand what is going on. Thanks!

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• How to handle authenticated user access to resources in document oriented system?

  - by Jeremy Raymond

  I'm developing a document oriented application and need to manage user access to the documents. I have a module that handles user authentication, and another module that handles document CRUD operations on the data store. Once a user is authenticated I need to enforce what operations the user can and cannot perform to documents based upon the user's permissions. The best option I could think of to integrate these two pieces together would be to create another module that duplicates the data API but that also takes the authenticated user as a parameter. The module would delegate the authorization check to the auth module and delegate the document operation to the data access module. Something like: -module(auth_data_access). % User is authenticated (logged into the system) % save_doc validates if user is allowed to save the given document and if so % saves it returning ok, else returns {error, permission_denied} save_doc(Doc, User) -> case auth:save_allowed(Doc, User) of ok -> data_access:save_doc(Doc); denied -> {error, permission_denied} end end. Is there a better way I can handle this?

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• inheritance in document database?

  - by nils petersohn

  i am wondering because i searched the pdf "xxx the definitive guide" and "beginning xxx" for the word "inheritance" but i didn't find anything? am i missing something? because i am doing a tablePerHierarchy inheritance with hibernate and mysql, does that become deprecated for some reason in xxx? (replace xxx with the "not only sql" database you like)

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• MongoDB: What's the point of using MapReduce without parallelism?

  - by netvope

  Quoting http://www.mongodb.org/display/DOCS/MapReduce#MapReduce-Parallelism As of right now, MapReduce jobs on a single mongod process are single threaded Without parallelism, what are the benefits of MapReduce compared to simpler or more traditional methods for queries and data aggregation? To avoid confusion: the question is NOT "what are the benefits of document-oriented DB over traditional relational DB"

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• NoSQL replacement for memcache

  - by Juan Antonio Gomez Moriano

  We are having a situation in which the values we store on memcache are bigger than 1MB. It is not possible to make such values smaller, and even if there was a way, we need to persist them to disk. One solution would be to recompile the memcache server to allow say 2MB values, but this is either not clean nor a complete solution (again, we need to persist the values). Good news is that We can predict quite acurately how many key/values pair we are going to have We can also predict the total size we will need. A key feature for us is the speed of memcache. So question is: is there any noSQL replacement for memcache which will allow us to have values longer than 1MB AND store them in disk without loss of speed? In the past I have used tokyotyrant/cabinet but seems to be deprecated now. Any idea?

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• how to store session data in couchapp

  - by haki

  to query parameters for eventlies and show-functions? to store global language options for example?

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• Should I convert data arrays to objects in PHP in a CouchDB/Ajax app?

  - by karlthorwald

  I find myself converting between array and object all the time in PHP application that uses couchDB and Ajax. Of course I am also converting objects to JSON and back (for sometimes couchdb but mostly Ajax), but this is not so much disturbing my workflow. At the present I have php objects that are returned by the CouchDB modules I use and on the other hand I have the old habbit to return arrays like array("error"="not found","data"=$dataObj) from my functions. This leads to a mixed occurence of real php objects and nested arrays and I cast with (object) or (array) if necessary. The worst thing is that I know more or less by heart what a function returns, but not what type (array or object), so I often run into type errors. My plan is now to always cast arrays to objects before returning from a function. Of course this implies a lot of refactoring. Is this the right way to go? What about the conversion overhead? Other ideas or tips?

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• Are there any embeddable document database engines for Java? Something similar to MongoDB or CouchDB

  - by Juha Syrjälä

  Are there any embeddable document database engines for Java, that do not require separate server. I am looking for something similar to MongoDB or CouchDB.

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• CodePlex Daily Summary for Friday, December 10, 2010

  CodePlex Daily Summary for Friday, December 10, 2010Popular ReleasesFree Silverlight & WPF Chart Control - Visifire: Visifire Silverlight, WPF Charts v3.6.5 Released: Hi, Today we are releasing final version of Visifire, v3.6.5 with the following new feature: * New property AutoFitToPlotArea has been introduced in DataSeries. AutoFitToPlotArea will bring bubbles inside the PlotArea in order to avoid clipping of bubbles in bubble chart. You can visit Visifire documentation to know more. http://www.visifire.com/visifirechartsdocumentation.php Also this release includes few bug fixes: * Chart threw exception while adding new Axis in Chart using Vi...PHPExcel: PHPExcel 1.7.5 Production: DonationsDonate via PayPal via PayPal. If you want to, we can also add your name / company on our Donation Acknowledgements page. PEAR channelWe now also have a full PEAR channel! Here's how to use it: New installation: pear channel-discover pear.pearplex.net pear install pearplex/PHPExcel Or if you've already installed PHPExcel before: pear upgrade pearplex/PHPExcel The official page can be found at http://pearplex.net. Want to contribute?Please refer the Contribute page.UserVoice Helper for WebMatrix: UserVoice Helper v0.9: This version will work with ASP.NET WebPages and ASP.NET MVC ApplicationsDNN Simple Article: DNNSimpleArticle Module V00.00.03: The initial release of the DNNSimpleArticle module (labelled V00.00.03) There are C# and VB versions of this module for this initial release. No promises that going forward there will be packages for both languages provided for future releases. This module provides the following functionality Create and display articles Display a paged list of articles Articles get created as DNN ContentItems Categorization provided through DNN Taxonomy SEO functionality for article display providi...UOB & ME: UOB_ME 2.5: latest versionCouchDB.NET: CouchDB.NET 0.1: CouchDB.NET ------- Libraries and providers to use CouchDB features from .NET This distribution includes the following projects: - MachineKeyGenerator: Command line tool to generate a machine key string for use in App.Config and Web.Config files. - CouchDB.NET: Library to facilitate the use of CouchDB features. It uses Hadi Hariri's EasyHttp library to communicate with the CouchDB server. More info at: https://github.com/hhariri/EasyHttp - CouchDb.ASP.NET: ASP.NET Membership Provider and ASP...AutoLoL: AutoLoL v1.4.3: AutoLoL now supports importing the build pages from Mobafire.com as well! Just insert the url to the build and voila. (For example: http://www.mobafire.com/league-of-legends/build/unforgivens-guide-how-to-build-a-successful-mordekaiser-24061) Stable release of AutoChat (It is still recommended to use with caution and to read the documentation) It is now possible to associate *.lolm files with AutoLoL to quickly open them The selected spells are now displayed in the masteries tab for qu...SubtitleTools: SubtitleTools 1.2: - Added auto insertion of RLE (RIGHT-TO-LEFT EMBEDDING) Unicode character for the RTL languages. - Fixed delete rows issue.PHP Manager for IIS: PHP Manager 1.1 for IIS 7: This is a final stable release of PHP Manager 1.1 for IIS 7. This is a minor incremental release that contains all the functionality available in 53121 plus additional features listed below: Improved detection logic for existing PHP installations. Now PHP Manager detects the location to php.ini file in accordance to the PHP specifications Configuring date.timezone. PHP Manager can automatically set the date.timezone directive which is required to be set starting from PHP 5.3 Ability to ...Algorithmia: Algorithmia 1.1: Algorithmia v1.1, released on December 8th, 2010.SuperSocket, an extensible socket application framework: SuperSocket 1.0 SP1: Fixed bugs: fixed a potential bug that the running state hadn't been updated after socket server stopped fixed a synchronization issue when clearing timeout session fixed a bug in ArraySegmentList fixed a bug on getting configuration valueCslaGenFork: CslaGenFork 4.0 CTP 2: The version is 4.0.1 CTP2 and was released 2010 December 7 and includes the following files: CslaGenFork 4.0.1-2010-12-07 Setup.msi Templates-2010-10-07.zip For getting started instructions, refer to How to section. Overview of the changes Since CTP1 there were 53 work items closed (28 features, 24 issues and 1 task). During this 60 days a lot of work has been done on several areas. First the stereotypes: EditableRoot is OK EditableChild is OK EditableRootCollection is OK Editable...My Web Pages Starter Kit: 1.3.1 Production Release (Security HOTFIX): Due to a critical security issue, it's strongly advised to update the My Web Pages Starter Kit to this version. Possible attackers could misuse the image upload to transmit any type of file to the website. If you already have a running version of My Web Pages Starter Kit 1.3.0, you can just replace the ftb.imagegallery.aspx file in the root directory with the one attached to this release.EnhSim: EnhSim 2.2.0 ALPHA: 2.2.0 ALPHAThis release adds in the changes for 4.03a. at level 85 To use this release, you must have the Microsoft Visual C++ 2010 Redistributable Package installed. This can be downloaded from http://www.microsoft.com/downloads/en/details.aspx?FamilyID=A7B7A05E-6DE6-4D3A-A423-37BF0912DB84 To use the GUI you must have the .NET 4.0 Framework installed. This can be downloaded from http://www.microsoft.com/downloads/en/details.aspx?FamilyID=9cfb2d51-5ff4-4491-b0e5-b386f32c0992 - Updated En...ASP.NET MVC Project Awesome (jQuery Ajax helpers): 1.4: A rich set of helpers (controls) that you can use to build highly responsive and interactive Ajax-enabled Web applications. These helpers include Autocomplete, AjaxDropdown, Lookup, Confirm Dialog, Popup Form, Popup and Pager new stuff: popup WhiteSpaceFilterAttribute tested on mozilla, safari, chrome, opera, ie 9b/8/7/6nopCommerce. ASP.NET open source shopping cart: nopCommerce 1.90: To see the full list of fixes and changes please visit the release notes page (http://www.nopCommerce.com/releasenotes.aspx).myCollections: Version 1.2: New in version 1.2: Big performance improvement. New Design (Added Outlook style View, New detail view, New Groub By...) Added Sort by Media Added Manage Movie Studio Zoom preference is now saved. Media name are now editable. Added Portuguese version You can now Hide details panel Add support for FLAC tags You can now imports books from BibTex Xml file BugFixingmytrip.mvc (CMS & e-Commerce): mytrip.mvc 1.0.49.0 beta: mytrip.mvc 1.0.49.0 beta web Web for install hosting System Requirements: NET 4.0, MSSQL 2008 or MySql (auto creation table to database) if .\SQLEXPRESS auto creation database (App_Data folder) mytrip.mvc 1.0.49.0 beta src System Requirements: Visual Studio 2010 or Web Deweloper 2010 MSSQL 2008 or MySql (auto creation table to database) if .\SQLEXPRESS auto creation database (App_Data folder) Connector/Net 6.3.4, MVC3 RC WARNING For run and debug mytrip.mvc 1.0.49.0 beta src download and ...Menu and Context Menu for Silverlight 4.0: Silverlight Menu and Context Menu v2.3 Beta: - Added keyboard navigation support with access keys - Shortcuts like Ctrl-Alt-A are now supported(where the browser permits it) - The PopupMenuSeparator is now completely based on the PopupMenuItem class - Moved item manipulation code to a partial class in PopupMenuItemsControl.cs - Moved menu management and keyboard navigation code to the new PopupMenuManager class - Simplified the layout by removing the RootGrid element(all content is now placed in OverlayCanvas and is accessed by the new ...MiniTwitter: 1.62: MiniTwitter 1.62 ???? ?? ??????????????????????????????????????? 140 ?????????????????????????? ???????????????????????????????? ?? ??????????????????????????????????New ProjectsAccountingGuid: for testing onlyChinese Nag Screen: This is a simple but effective program for learning to recognize Mandarin characters. The application sits in the system tray and displays a character random through your day. You can only get rid of it by typing in the pinyin.CouchDB.NET: .NET libraries to use CouchDB from .NET. Included are Membership and Roles provider so that you may use CouchDB as your integrated DB backend on your ASP.NET projects. Please see the readme.txt file for instructions.DataSetMapper: The idea behind DataSetMapper is to provide support for the automatic mapping of legacy DataSet based structures to proper domain objects. In essence the aim is to create the Mapping aspect of an ORM without the persistence concerns.EasyXnaAudio: EasyXnaAudio is a simple component for use in XNA Game Studio 3.1/4.0 projects that provides an easy interface to load, play, and manage songs and sounds in your game.FixMailboxSD - Exchange Mailbox Security Descriptor Canonicalizer: This is a small utility to fix mailbox security descriptors in Microsoft Exchange that have become non-canonical. It must be run on a machine with Exchange System Manager for Exchange 2003 installed, but it will work against mailboxes on 2003 or 2007 (not 2010).GearSynth Plugin: a plugin for graphsynth that makes gear trainsGroceryList: TBD with first versionIBMS Suite Build on the Associate Platform: A new way of approaching Information Systems. From the UI, users of the IS will be able to build and manipulate the IS to whatever way fits their needs. We have simplified development, removed the chasm between management and IT and give the power of simplification to the user!Ivy Nasha Framework: A PHP FrameworkjQuery helpers for ASP.NET and ASP.NET MVC: jQuery helpers makes it easier for ASP.NET developers to build jQuery scripts. It's developed in C#. JSTest.NET: JSTest.NET enabled JavaScript unit tests to be run directly in the test framework of your choice (MSTest, NUnit, xUnit, etc) and all without the need for a web browser. JSTest.NET utilizes the Windows Script Host (CScript) to run fast, fully debuggable JavaScript unit tests!Multicore Task Framework: MTF is a visual tool to simplify building robust component based .NET applications. MTF is designed to make full use of the power of multi-core processors.Nazha Script On DLR: NazhaPascalESE - a Delphi/Pascal class library for Microsoft ESENT database API: This pascal class library, primarily written for Delphi's Object Pascal, provides a lightweight and easy-to-use wrapper around the ESENT API. Perpetuum Hangar: A Character planner for the online game "Perpetuum"Projeto Exemplo: Projeto exemplo para a atividade 3 da disciplina.PSiteCode: PSiteCode Manager rScript Engine: rScript scripting engine is a managed script engine wrote in C# that supports Visual Basic and C# syntax based scripts. It provides Type's for dynamically getting and setting properties, invoking methods and run-time compilation of scripts.SharePoint 2010 User Profile WebPart: This webpart shows all user profile properties and values of the properties for a particular user profile. The results are shown in a table containing the display and technical name together with the user value.SHC: shriSHMTools: SHMTools is set of compatible software tools (mostly Matlab based) for structural health monitoring (SHM) research. This includes algorithms for system design, modeling, data acquisition, feature extraction, classification, and prognosis.SwapWin: SwapWin is a tiny and handy tool which swaps windows on different screens. Developed in C# and .NET 3.5.Teachers Diary: Teachers diary is application realizing electronic teacher's notepad with student marks. Current localization of the application is in czech language only.VkApp: Vk app for downloadingWebSpirit: A lightweighted web server implemented by C# which supports sufficient extendible feature. By zjuWPF & MEF Studio: WPF & MEF Studio

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• Moving Data from One Column into Six Columns

  - by Alex Rudd

  I have an Excel sheet that has six columns that are currently all combined into one column. I need to separate them out but the issue is the first column is words that sometimes are one word and sometimes two. Here is an example: Twin 70 442 186 310 221 Twin Futon 70 389 160 272 195 XL twin 70 463 196 324 231 XL Twin Futon 70 418 174 293 209 Double 100 590 245 413 295 How can I separate these data sets while keeping the words all in the same columns?

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• What are some "mental steps" a developer must take to begin moving from SQL to NO-SQL (CouchDB, Fath

  - by Byron Sommardahl

  I have my mind firmly wrapped around relational databases and how to code efficiently against them. Most of my experience is with MySQL and SQL. I like many of the things I'm hearing about document-based databases, especially when someone in a recent podcast mentioned huge performance benefits. So, if I'm going to go down that road, what are some of the mental steps I must take to shift from SQL to NO-SQL? If it makes any difference in your answer, I'm a C# developer primarily (today, anyhow). I'm used to ORM's like EF and Linq to SQL. Before ORMs, I rolled my own objects with generics and datareaders. Maybe that matters, maybe it doesn't. Here are some more specific: How do I need to think about joins? How will I query without a SELECT statement? What happens to my existing stored objects when I add a property in my code? (feel free to add questions of your own here)

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• Big Data – Operational Databases Supporting Big Data – Key-Value Pair Databases and Document Databases – Day 13 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the Relational Database and NoSQL database in the Big Data Story. In this article we will understand the role of Key-Value Pair Databases and Document Databases Supporting Big Data Story. Now we will see a few of the examples of the operational databases. Relational Databases (Yesterday’s post) NoSQL Databases (Yesterday’s post) Key-Value Pair Databases (This post) Document Databases (This post) Columnar Databases (Tomorrow’s post) Graph Databases (Tomorrow’s post) Spatial Databases (Tomorrow’s post) Key Value Pair Databases Key Value Pair Databases are also known as KVP databases. A key is a field name and attribute, an identifier. The content of that field is its value, the data that is being identified and stored. They have a very simple implementation of NoSQL database concepts. They do not have schema hence they are very flexible as well as scalable. The disadvantages of Key Value Pair (KVP) database are that they do not follow ACID (Atomicity, Consistency, Isolation, Durability) properties. Additionally, it will require data architects to plan for data placement, replication as well as high availability. In KVP databases the data is stored as strings. Here is a simple example of how Key Value Database will look like: Key Value Name Pinal Dave Color Blue Twitter @pinaldave Name Nupur Dave Movie The Hero As the number of users grow in Key Value Pair databases it starts getting difficult to manage the entire database. As there is no specific schema or rules associated with the database, there are chances that database grows exponentially as well. It is very crucial to select the right Key Value Pair Database which offers an additional set of tools to manage the data and provides finer control over various business aspects of the same. Riak Rick is one of the most popular Key Value Database. It is known for its scalability and performance in high volume and velocity database. Additionally, it implements a mechanism for collection key and values which further helps to build manageable system. We will further discuss Riak in future blog posts. Key Value Databases are a good choice for social media, communities, caching layers for connecting other databases. In simpler words, whenever we required flexibility of the data storage keeping scalability in mind – KVP databases are good options to consider. Document Database There are two different kinds of document databases. 1) Full document Content (web pages, word docs etc) and 2) Storing Document Components for storage. The second types of the document database we are talking about over here. They use Javascript Object Notation (JSON) and Binary JSON for the structure of the documents. JSON is very easy to understand language and it is very easy to write for applications. There are two major structures of JSON used for Document Database – 1) Name Value Pairs and 2) Ordered List. MongoDB and CouchDB are two of the most popular Open Source NonRelational Document Database. MongoDB MongoDB databases are called collections. Each collection is build of documents and each document is composed of fields. MongoDB collections can be indexed for optimal performance. MongoDB ecosystem is highly available, supports query services as well as MapReduce. It is often used in high volume content management system. CouchDB CouchDB databases are composed of documents which consists fields and attachments (known as description). It supports ACID properties. The main attraction points of CouchDB are that it will continue to operate even though network connectivity is sketchy. Due to this nature CouchDB prefers local data storage. Document Database is a good choice of the database when users have to generate dynamic reports from elements which are changing very frequently. A good example of document usages is in real time analytics in social networking or content management system. Tomorrow In tomorrow’s blog post we will discuss about various other Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• When to use delaycompress option in logrotate?

  - by Anand Chitipothu

  The man page of logrotate says that: It can be used when some program cannot be told to close its logfile and thus might continue writing to the previous log file for some time. I'm confused by this. If a program cannot be told to close its logfile, it will continue to write forever, not for sometime. If the compression is postponed to next rotation cycle, the program continues to write to that file even after the next rotation cycle. How is postponing solving the problem? My understanding is that copytruncate should be used when a program cannot be told to close the logfile. I'm aware that some data written to the logfile gets lost when the copy is in progress. I was looking at the logrotate file for couchdb, and it had both copytruncate and delaycompress options. /usr/local/couchdb-1.0.1/var/log/couchdb/*.log { weekly rotate 10 copytruncate delaycompress compress notifempty missingok } It looks like there is no point using delaycompress when copytruncate is already there. What am I missing?

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