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  • Using spring:nestedPath tag

    - by Ravi
    Hello All, I have this code, I know I'm missing something but don't know what. It would be great if you help me out. I'm new to Spring MVC. I'm trying out a simple Login application in Spring MVC. This is my web.xml <?xml version="1.0" encoding="UTF-8"?> <web-app version="2.5" xmlns="http://java.sun.com/xml/ns/javaee" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_2_5.xsd"> <listener> <listener-class> org.springframework.web.context.ContextLoaderListener </listener-class> </listener> <servlet> <servlet-name>springapp</servlet-name> <servlet-class>org.springframework.web.servlet.DispatcherServlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>springapp</servlet-name> <url-pattern>/app/*</url-pattern> </servlet-mapping> <session-config> <session-timeout> 30 </session-timeout> </session-config> <welcome-file-list> <welcome-file>index.jsp</welcome-file> </welcome-file-list> here is my springapp-servlet.xml file <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd"> <bean name="/login" class="springapp.web.LoginController"/> <bean id="viewResolver" class="org.springframework.web.servlet.view.InternalResourceViewResolver"> <property name="prefix" value="/WEB-INF/jsp/"></property> <property name="suffix" value=".jsp"></property> </bean> This is my applicationContext.xml file <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE beans PUBLIC "-//SPRING//DTD BEAN//EN" "http://www.springframework.org/dtd/spring-beans.dtd"> <beans> <bean id="employee" class="springapp.domain.Employee" /> </beans> Here is my LoginController.java file package springapp.web; import org.springframework.web.servlet.ModelAndView; import org.springframework.web.servlet.mvc.SimpleFormController; import springapp.domain.Employee; public class LoginController extends SimpleFormController{ public LoginController(){ setCommandName("loginEmployee"); setCommandClass(Employee.class); setFormView("login"); setSuccessView("welcome"); } @Override protected ModelAndView onSubmit(Object command) throws Exception { return super.onSubmit(command); } } And finally my login.jsp file <%@ taglib uri="http://www.springframework.org/tags" prefix="spring" %> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>Timesheet Login</title> </head> <body> <spring:nestedPath path="employee"> <form action="" method="POST"> <table width="200" border="1" align="center" cellpadding="10" cellspacing="0"> <tr> <td>Username:</td> <td> <spring:bind path="userName"> <input type="text" name="${status.expression}" id="${status.value}" /> </spring:bind> </td> </tr> <tr> <td>Password</td> <td> <spring:bind path="password"> <input type="password" name="${status.expression}" id="${status.value}" /> </spring:bind> </td> </tr> <tr> <td colspan="2"><input type="submit" value="Login" /></td> </tr> </table> </form> </spring:nestedPath> </body> </html> But when I try to run the code I get this error javax.servlet.ServletException: javax.servlet.jsp.JspTagException: Neither BindingResult nor plain target object for bean name 'employee' available as request attribute

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  • How to propagate spring security login to EJBs?

    - by tangens
    Context I have a J2EE application running on a JBoss 4.2.3 application server. The application is reachabe through a web interface. The authentication is done with basic authentication. Inside of the EJBs I ask the security context of the bean for the principal (the name of the logged in user) and do some authorization checks if this user is allowed to access this method of the EJB. The EJBs life inside a different ear than the servlets handling the web frontend, so I can't access the spring application context directly. Required change I want to switch to Spring Security for handling the user login. Question How can I propagate the spring login information to the JBoss security context so I can still use my EJBs without having to rewrite them? Ideas and links I already found a page talking about "Propagating Identity from Spring Security to the EJB Layer", but unfortunatelly it refers to an older version of Spring Security (Acegi) and I'm not familiar enough with Spring Security to make this work with the actual version (3.0.2).

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  • deep injection - spring

    - by Bob
    What is the best way (or options) for accessing spring components at layers deep within the application that aren't managed by spring? For example, I have a low level utility POJO class into which I need to autowire/inject a spring component. I'll call it LowLevelHelper. There are multiple classes that use LowLevelHelper - most are layers away from anything that is hooked up with spring. One option would be to make all the layers in to spring components, but that seems like I'm hacking my design to force spring to help me. I have some complex things going on that won't be nearly as clean if I have to @Autowire all the pieces and don't new anything. Another option might be to manually inject the component in the low level class, but I'm not really sure if this is possible or the right solution.

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  • Is it possible to transfer data between html pages driven by spring web flow?

    - by Easwaramoorthy Kanagaraj
    I am aware of passing data between jsp in spring web flow. Is it possible to transfer data between html pages driven by spring web flow. I don't want to use the HTML5 local storage capabilities. Example: Page 1: Search box for an employee id. Page 2: Search result for the employee details. Two ways that I could think: Get the employee details in page 1 by ajax and pass the result to the page two. Pass the employee id to page 2 and get the result by ajax in onload. In both case I need to pass any variable/data. I am confused in doing this. Is there anything in the Spring webflow using which I could do this? Thanks in advance, Easwar

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  • Mongodb vs. Cassandra

    - by ming yeow
    I am evaluating what might be the best migration option. Currently, i am on a sharded mysql (horizontal partition), with most of my data stored in json blobs. I do not have any complex SQL queries( already migrated away after since I partitioned my db) Right now, it seems like both Mongodb and Cassandra would be likely options. My situation lots of reads in every query, less regular writes not worried about "massive" scalability more concerned about simple setup, maintenance and code minimize hardware/server cost

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  • MongoDB transactions?

    - by Arnis L.
    Playing around with MongoDB and NoRM in .NET. Thing that confused me - there are no transactions (can't just tell MongoConnection.Begin/EndTransaction or something like that). I want to use Unit of work pattern and rollback changes in case something fails. Is there still a clean way how to enrich my repository with ITransaction?

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  • Mongodb Query To select records having a given key

    - by sagar
    let the records in database are {"_id":"1","fn":"sagar","ln":"Varpe"} {"_id":"1","fn":"sag","score":"10"} {"_id":"1","ln":"ln1","score":"10"} {"_id":"1","ln":"ln2"} I need to design a MongoDB query to find all records who has a given key like if i pass "ln" as a parameter to query it shold return all records in which "ln"is a Key , the results fo are {"_id":"1","fn":"sagar","ln":"Varpe"} {"_id":"1","ln":"ln1","score":"10"} {"_id":"1","ln":"ln2"}

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  • MongoDB index/RAM relationship

    - by Tegan Clark
    I'm about to adopt MongoDB for a new project and I've chosen it for flexibility, not scalability. From the documentation and web posts I keep reading that all indexes are in RAM. This just isn't making sense to me as my indexes will easily be larger than the amount of available RAM. Can anyone share some insight on the index/RAM relationship and what happens when both an individual index and all of my indexes exceed the size of available RAM?

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  • MongoDB query against geospatial index with maxDistance fails from node.js client

    - by user1735497
    I want to query against a geospatial index in mongo-db (designed after this tutorial http://www.mongodb.org/display/DOCS/Geospatial+Indexing). So when I execute this from the shell everything works fine: db.sellingpoints.find(( { location : { $near: [48.190120, 16.270895], $maxDistance: 7 / 111.2 } } ); but the same query from my nodejs application (using mongoskin or mongoose), won't return any results until i set the distance-value to a very high number (5690) db.collection('sellingpoints') .find({ location: { $near: [lat,lng], $maxDistance: distance / 111.2} }) .limit(limit) .toArray(callback); Has someone any idea how to fix that?

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  • Random record from MongoDB

    - by Will M
    I am looking to get a random record from a huge (100 million record) mongodb. What is the fastest and most efficient way to do so? The data is already there and there are no field in which I can generate a random number and obtain a random row. Any suggestions?

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  • MongoDB equivalent of SQL "OR"

    - by Matt
    So, MongoDB defaults to "AND" when finding records. For example: db.users.find({age: {'$gte': 30}, {'$lte': 40}}); The above query finds users = 30 AND <= 40 years old. How would I find users <= 30 OR = 40 years old?

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  • MongoDB PHP Drive install failed (Windows)

    - by terence410
    I attempted to download the php_mongo.dll from this link (http://github.com/mongodb/mongo-php-driver/downloads) and added the extension to php. However it doesn't work at all. My PHP version is: 5.2.x Windows: Windows 7 64 bit. I have also try to use pecl install mongo but it returned some error like: This DSP mongo.dsp doesn't not exist. Could somebody help?

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  • mongodb java driver - raw command?

    - by Scott
    Is it possible to execute raw commands as javascript through the Java driver for MongoDB? I'm tired of wrapping everything in Java objects using Rhino, and would happily sacrifice performance for the convenience of passing javascript directly through to the DB. If not, I can always use sleepymongoose or something, but I don't really want to add yet another language (python) to the stack at this point. Any insights are appreciated.

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  • MongoDB using NOT and AND together

    - by Stankalank
    I'm trying to negate an $and clause with MongoDB and I'm getting a MongoError: invalid operator: $and message back. Basically what I want to achieve is the following: query = { $not: { $and: [{institution_type:'A'}, {type:'C'}] } } Is this possible to express in a mongo query? Here is a sample collection: { "institution_type" : "A", "type" : "C" } { "institution_type" : "A", "type" : "D" } { "institution_type" : "B", "type" : "C" } { "institution_type" : "B", "type" : "D" } What I want to get back is the following: { "institution_type" : "A", "type" : "D" } { "institution_type" : "B", "type" : "C" } { "institution_type" : "B", "type" : "D" }

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  • Indexing on only part of a field in MongoDB

    - by Rob Hoare
    Is there a way to create an index on only part of a field in MongoDB, for example on the first 10 characters? I couldn't find it documented (or asked about on here). The MySQL equivalent would be CREATE INDEX part_of_name ON customer (name(10));. Reason: I have a collection with a single field that varies in length from a few characters up to over 1000 characters, average 50 characters. As there are a hundred million or so documents it's going to be hard to fit the full index in memory (testing with 8% of the data the index is already 400MB, according to stats). Indexing just the first part of the field would reduce the index size by about 75%. In most cases the search term is quite short, it's not a full-text search. A work-around would be to add a second field of 10 (lowercased) characters for each item, index that, then add logic to filter the results if the search term is over ten characters (and that extra field is probably needed anyway for case-insensitive searches, unless anybody has a better way). Seems like an ugly way to do it though. [added later] I tried adding the second field, containing the first 12 characters from the main field, lowercased. It wasn't a big success. Previously, the average object size was 50 bytes, but I forgot that includes the _id and other overheads, so my main field length (there was only one) averaged nearer to 30 bytes than 50. Then, the second field index contains the _id and other overheads. Net result (for my 8% sample) is the index on the main field is 415MB and on the 12 byte field is 330MB - only a 20% saving in space, not worthwhile. I could duplicate the entire field (to work around the case insensitive search problem) but realistically it looks like I should reconsider whether MongoDB is the right tool for the job (or just buy more memory and use twice as much disk space). [added even later] This is a typical document, with the source field, and the short lowercased field: { "_id" : ObjectId("505d0e89f56588f20f000041"), "q" : "Continental Airlines", "f" : "continental " } Indexes: db.test.ensureIndex({q:1}); db.test.ensureIndex({f:1}); The 'f" index, working on a shorter field, is 80% of the size of the "q" index. I didn't mean to imply I included the _id in the index, just that it needs to use that somewhere to show where the index will point to, so it's an overhead that probably helps explain why a shorter key makes so little difference. Access to the index will be essentially random, no part of it is more likely to be accessed than any other. Total index size for the full file will likely be 5GB, so it's not extreme for that one index. Adding some other fields for other search cases, and their associated indexes, and copies of data for lower case, does start to add up, which I why I started looking into a more concise index.

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  • Data Security Through Structure, Procedures, Policies, and Governance

    Security Structure and Procedures One of the easiest ways to implement security is through the use of structure, in particular the structure in which data is stored. The preferred method for this through the use of User Roles, these Roles allow for specific access to be granted based on what role a user plays in relation to the data that they are manipulating. Typical data access actions are defined by the CRUD Principle. CRUD Principle: Create New Data Read Existing Data Update Existing Data Delete Existing Data Based on the actions assigned to a role assigned, User can manipulate data as they need to preform daily business operations.  An example of this can be seen in a hospital where doctors have been assigned Create, Read, Update, and Delete access to their patient’s prescriptions so that a doctor can prescribe and adjust any existing prescriptions as necessary. However, a nurse will only have Read access on the patient’s prescriptions so that they will know what medicines to give to the patients. If you notice, they do not have access to prescribe new prescriptions, update or delete existing prescriptions because only the patient’s doctor has access to preform those actions. With User Roles comes responsibility, companies need to constantly monitor data access to ensure that the proper roles have the most appropriate access levels to ensure users are not exposed to inappropriate data.  In addition this also protects rouge employees from gaining access to critical business information that could be destroyed, altered or stolen. It is important that all data access is monitored because of this threat. Security Governance Current Data Governance laws regarding security Health Insurance Portability and Accountability Act (HIPAA) Sarbanes-Oxley Act Database Breach Notification Act The US Department of Health and Human Services defines HIIPAA as a Privacy Rule. This legislation protects the privacy of individually identifiable health information. Currently, HIPAA   sets the national standards for securing electronically protected health records. Additionally, its confidentiality provisions protect identifiable information being used to analyze patient safety events and improve patient safety. In 2002 after the wake of the Enron and World Com Financial scandals Senator Paul Sarbanes and Representative Michael Oxley lead the creation of the Sarbanes-Oxley Act. This act administered by the Securities and Exchange Commission (SEC) dramatically altered corporate financial practices and data governance. In addition, it also set specific deadlines for compliance. The Sarbanes-Oxley is not a set of standard business rules and does not specify how a company should retain its records; In fact, this act outlines which pieces of data are to be stored as well as the storage duration. The Database Breach Notification Act requires companies, in the event of a data breach containing personally identifiable information, to notify all California residents whose information was stored on the compromised system at the time of the event, according to Gregory Manter. He further explains that this act is only California legislation. However, it does affect “any person or business that conducts business in California, and that owns or licenses computerized data that includes personal information,” regardless of where the compromised data is located.  This will force any business that maintains at least limited interactions with California residents will find themselves subject to the Act’s provisions. Security Policies All companies must work in accordance with the appropriate city, county, state, and federal laws. One way to ensure that a company is legally compliant is to enforce security policies that adhere to the appropriate legislation in their area or areas that they service. These types of polices need to be mandated by a company’s Security Officer. For smaller companies, these policies need to come from executives, Directors, and Owners.

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  • How would you represent an object that can be of multiple types, when storing it as a document in MongoDB?

    - by blueberryfields
    Somewhat related to this question, say that I have an object category which, depending on which type of object I have, has different restrictions on what it contains. (if you can reword the previous sentence to make more sense I'd appreciate it) For example var SomeSchema = new Schema({ _id: ObjectID, [... large number of common fields ...] type: //Restricted somehow to members of a fixed array data: //depending on type, this might be restricted - sometimes an integer, sometimes array, etc... }); What's the idiosyncratic method for defining this type of schema? Is it appropriate to define a single schema, and handle the types inside of it's members, or am I better off with separate schema for each type?

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  • Excel Help: Data Input Help

    - by B-Ballerl
    Everyday I download data from a site that will have rows each filled with individual data for clients. I'm able to input the data into excel as a whole but after that I'm having trouble figuring out how to put it into a chart. For example Web visits time. So say Client 1 stayed for 5 min increasing his total time on the site to 20 min and Client 2 stayed for 0 min keeping his time of 10 min and they were both registered on new years eve, and R1's last login was today and R2's was yesterday. (R for some reason repersents Client, no idea why...). Client 3 hasn't been on since he registered keeping his total at 4 min So my data would look something like this for Today (20110104) R1,20101231,20110104,20 R2,20101231,20110103,10 R3,20101231,20101231,4 And this for the day before (201101030), R1,20101231,20110102,15 R2,20101231,20110103,10 R3,20101231,20101231,4 I get about 200+ client rows each day where even the names of the Client list are changing. Is it possible to import the data each day and fill it in a excel sheet where the Client number is off on the left hand side in a table, and the amount of time (Whole Number ex. 4) each day it spends on the site extend to the right under it's specific date see Picture? I've manage to create a manual sheet but have been unsucessful at getting excel to do any of it for me. Here are two pictures:

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  • Recover data from hard drive with partitions (but not most data) overwritten

    - by Macha
    I have a 500GB hard drive I've been keeping around to recover data from that I removed from a failing NAS drive that got sort of... erratic at the end. I finally got rid of the NAS when during a firmware update it removed the partition table. Fast forward to a week ago, when I was building a new PC, and a mixup resulted in me placing the hard drive in question in the new PC and installing Windows XP on the first 100GB. I'm presuming any data on that first 100GB is now gone, but for the rest of it, is there any way I can recover it at home, as professional data recovery is currently too expensive? I have a blank 1TB HDD if I can store any images of that hard drive on. The problem was definitely with the NAS and not the hard drive, as the hard drive had a successful install of Windows when mistakenly place in the new PC, and there were capacitors in the NAS's circuitry clearly broken. The data I want to recover (in order of priority) is: High: Some jpgs of family photos. Medium: Some RAW files. (There are also jpg versions of all of these) Low: Some mp3s, avis and ISOs, I can re-rip most of these if need be, but it'd be handy not to have to. (I don't need a backup lecture, and if you can hold it in from nagging Jeff Atwood for it, you can hold it in from nagging me for it) In short: The partition tables are gone and overwritten. The data is not overwritten, except for an amount equal to the size of a Windows XP SP3 installation.

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  • Why Oracle Delivers More Value than IBM in Data Integration Solutions

    - by irem.radzik(at)oracle.com
    For data integration projects, IT organization look for a robust but an easy-to-use solution, which simplifies enterprise data architecture while providing exceptional value-- not one that adds complexity and costs. This is a major challenge today for customers who are using IBM InfoSphere products like DataStage or Change Data Capture. Whereas, Oracle consistently delivers higher level value with its data integration products such as Oracle Data Integrator, Oracle GoldenGate. There are many differentiators for Oracle's Data Integration offering in comparison to IBM. Here are the top five: Lower cost of ownership Higher performance in both real-time and bulk data movement Ease of use and flexibility Reliability Complete, Open, and Integrated Middleware Offering Architectural differences between products contribute a great deal to these differences. First of all, Oracle's ETL architecture does not require a middle-tier transformation server, something IBM does require. Not only it costs more to manage an additional transformation server including energy costs, but it adds a performance bottleneck as well. In addition, IBM's data integration products are complex and often require lengthy professional services engagements to integrate. This translates to higher costs and delayed time to market. Then there's the reliability factor. Our customers choose Oracle GoldenGate over IBM's InfoSphere Change Data Capture product because Oracle GoldenGate is designed for mission-critical systems that require guaranteed data delivery and automatic recovery in case of process interruptions. On Thursday we will discuss these key differentiators in detail and provide customer examples that chose Oracle over IBM in data integration projects. Join us on Thursday Feb 10th at 11am PT to learn how Oracle delivers more value than IBM in data integration solutions.

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  • MongoDB - proper use of collections?

    - by zmg
    In Mongo my understanding is that you can have databases and collections. I'm working on a social-type app that will have blogs and comments (among other things) and had previously be using MySQL and pretty heavy partitioning in an attempt to limit possible concurrency issues. With MySQL I've stuffed all my user data into a _user database with several tables to further partition the data (blogs, pages, etc). My immediate reaction with Mongo would be to create a 'users' database with one collection per user. In this way user 'zach' blog entries would go into the 'zach' collection with associated comments and such becoming sub-objects in the same collection. Basically like dynamically creating one table per user in MySQL, but apparently without the complexity and limitations that might impose. Of course since I haven't really used Mongo before I'm having trouble gauging the (ahem..) quality of this idea and the potential problems it might cause down the road. I'd like user data to be treated a lot like a users directory in a *nix environment where user created/non-shared (mostly) gets put into one place (currently with MySQL that would be the appname_users as mentioned above). Most of the users data will be specific to the users page(s). Some of the user data which is queried across all site users (searchable user profiles) is currently kept in a separate database/table and I expect things like this could be put into a appname_system database and be broken up into collections and/or application specific databases (appname_profiles). Anyway, since the available documentation on this is currently a little thin and my experience is extremely limited I thought I might find a little guidance from someone with a better working understanding of the system. On the plus side I'd really already been attempting to treat MySQL as a schema-less document-store and doing this with Mongo seems much more intuitive/sane/rational so I'm really looking forward to getting started. Thanks, Zach

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  • MongoDB efficient dealing with embedded documents

    - by Sebastian Nowak
    I have serious trouble finding anything useful in Mongo documentation about dealing with embedded documents. Let's say I have a following schema: { _id: ObjectId, ... data: [ { _childId: ObjectId // let's use custom name so we can distinguish them ... } ] } What's the most efficient way to remove everything inside data for particular _id? What's the most efficient way to remove embedded document with particular _childId inside given _id? What's the performance here, can _childId be indexed in order to achieve logarithmic (or similar) complexity instead of linear lookup? If so, how? What's the most efficient way to insert a lot of (let's say a 1000) documents into data for given _id? And like above, can we get O(n log n) or similar complexity with proper indexing? What's the most efficient way to get the count of documents inside data for given _id?

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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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