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kuni katsuya

Entity-attribute-value model - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Entity-attribute-value_model

eav sparse open schema

shared by kuni katsuya on 01 Jul 12 - Cached
  • Entity–attribute–value model
  • Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest
  • also known as object–attribute–value model, vertical database model and open schema
  • ...21 more annotations...
  • In an EAV data model, each attribute-value pair is a fact describing an entity, and a row in an EAV table stores a single fact
  • EAV tables are often described as "long and skinny": "long" refers to the number of rows, "skinny" to the few columns
  • Data is recorded as three columns: The entity: the item being described. The attribute or parameter: a foreign key into a table of attribute definitions. At the very least, the attribute definitions table would contain the following columns: an attribute ID, attribute name, description, data type, and columns assisting input validation
  • The value of the attribute
  • Row modeling, where facts about something (in this case, a sales transaction) are recorded as multiple rows rather than multiple columns
  • differences between row modeling and EAV (which may be considered a generalization of row-modeling) are:
  • A row-modeled table is homogeneous in the facts that it describes
  • The data type of the value column/s in a row-modeled table is pre-determined by the nature of the facts it records. By contrast, in an EAV table, the conceptual data type of a value in a particular row depend on the attribute in that row
  • In the EAV table itself, this is just an attribute ID, a foreign key into an Attribute Definitions table
  • The Attribute
  • The Value
  • Coercing all values into strings
  • larger systems use separate EAV tables for each data type (including binary large objects, "BLOBS"), with the metadata for a given attribute identifying the EAV table in which its data will be stored
  • Where an EAV system is implemented through RDF, the RDF Schema language may conveniently be used to express such metadata
  • access to metadata must be restricted, and an audit trail of accesses and changes put into place to deal with situations where multiple individuals have metadata access
  • quality of the annotation and documentation within the metadata (i.e., the narrative/explanatory text in the descriptive columns of the metadata sub-schema) must be much higher, in order to facilitate understanding by various members of the development team.
  • Attribute metadata
  • Validation metadata include data type, range of permissible values or membership in a set of values, regular expression match, default value, and whether the value is permitted to be null
    • kuni katsuya
      kuni katsuya on 01 Jul 12
       
      jsr-299 bean validation anyone?  :)
  • Presentation metadata: how the attribute is to be displayed to the user
  • Grouping metadata: Attributes are typically presented as part of a higher-order group, e.g., a specialty-specific form. Grouping metadata includes information such as the order in which attributes are presented
  • Advanced validation metadata Dependency metadata:
kuni katsuya

Chapter 15. Data Management - 0 views

www.graniteds.org/...graniteds.datamanagement.html

graniteds data jpa flex javaee6 javaee

shared by kuni katsuya on 19 May 12 - No Cached
  • Data Management
  • Tide provides an integration between the Flex/LCDS concept of managed entities and the server persistence context (JPA or Hibernate)
  • Tide maintains a client-side cache of entity instances and ensures that every instance is unique in the Flex client context
  • ...5 more annotations...
  • highly recommended to use JPA optimistic locking in a multi-tier environment (@Version annotation)
  • Tip The easiest and recommended way for getting Tide enabled managed entities is to generate them from Java classes with Gas3 or the GDS Eclipse builder using the tide="true" option.
  • In a typical Flex/app server/database application, an entity lives in three layers: the Flex client the Hibernate/JPA persistence context the database
  • only invariant is the id.
  • id reliably links the different existing versions of the entity in the three layers
kuni katsuya

Chapter 15. Data Management - 0 views

www.graniteds.org/...graniteds.datamanagement.html

graniteds data management

shared by kuni katsuya on 15 May 12 - No Cached
  • Data Management
  • Tide maintains a client-side cache of entity instances and ensures that every instance is unique in the Flex client context
  • Tide provides an integration between the Flex/LCDS concept of managed entities and the server persistence context (JPA or Hibernate).
  • ...10 more annotations...
  • All entities marked as [Managed] are considered as corresponding to Hibernate/JPA managed entities on the server
  • It is highly recommended to use JPA optimistic locking in a multi-tier environment (@Version annotation
  • In conclusion, the recommended approach to avoid any kind of subtle problems is to have a real uid property which will be persisted in the database
  • but is not a primary key for efficiency concerns
  • Here all loaded collections of the Person object will be uninitialized so uperson contains only the minimum of data to correctly merge your changes in the server persistence context
  • Tide uses the client data tracking (the same used for dirty checking, see below) to determine which parts of the graph need to be sent.
  • Dirty Checking and Conflict Handling
  • Data Validation
  • Tide integrates with Hibernate Validator 3.x and the Bean Validation API (JSR 303) implementations, and propagate the server validation errors to the client UI components
  • Data Paging
kuni katsuya

Architecture | Apache Shiro - 0 views

shiro.apache.org/architecture.html

apache shiro architecture

shared by kuni katsuya on 15 Aug 12 - No Cached
  • Realm is essentially a security-specific DAO
  • 3 primary concepts:
  • Subject
  • ...51 more annotations...
  • SecurityManager
  • Realms
  • High-Level Overview
  • Subject
  • essentially a security specific 'view' of the the currently executing user
  • Subject
  • instances are all bound to (and require) a
  • SecurityManager
  • When you interact with a Subject, those interactions translate to subject-specific interactions with the SecurityManager
  • SecurityManager
  • 'umbrella’ object that coordinates its internal security components that together form an object graph
  • Realms
  • ‘connector’ between Shiro and your
  • application’s security data
  • Shiro looks up many of these things from one or more Realms configured for an application
  • Subject
  • SecurityManager
  • Authenticator
  • Authorizer
  • component responsible determining users' access control in the application
  • if a user is allowed to do something or not
  • SessionManager
  • knows how to create and manage user
  • Session
  • lifecycles
  • Shiro has the ability to natively manage user Sessions in any environment, even if there is no Web/Servlet or EJB container available
  • Shiro will use
  • an existing session mechanism
  • if available, (e.g. Servlet Container)
  • if there isn't one, such as in a standalone application or non-web environment, it will use its
  • built-in enterprise session management
  • SessionDAO
  • exists to allow any datasource to be used to
  • persist sessions
  • SessionDAO
  • performs Session persistence (CRUD) operations on behalf of the SessionManager
  • allows any data store to be plugged in to the Session Management infrastructure
  • CacheManager
  • creates and manages Cache instance lifecycles used by other Shiro components
  • improve performance while using these data source
  • Cryptography
  • Realms
  • ‘connector’ between Shiro and your application’s security data
  • Realms
  • Realms
  • Realms
  • ‘connector’ between Shiro and your application’s security data
  • ‘connector’ between Shiro and your application’s security data
  • ‘connector’ between Shiro and your application’s security data
  • ‘connector’ between Shiro and your application’s security data
  • ‘connector’ between Shiro and your application’s security data
kuni katsuya

Data Source Configuration in AS 7 | JBoss AS 7 | JBoss Community - 0 views

community.jboss.org/...DataSourceConfigurationinAS7

jbossas7 datasource configuration jdbc

shared by kuni katsuya on 11 Jul 12 - No Cached
  • Data Source Configuration in AS 7
  • Using @DataSourceDefinition to configure a DataSource
  • This annotation requires that a data source implementation class (generally from a JDBC driver JAR) be present on the class path (either by including it in your application, or deploying it as a top-level JAR and referring to it via MANIFEST.MF's Class-Path attribute) and be named explicitly.
  • ...21 more annotations...
  • this annotation bypasses the management layer and as such it is recommended only for development and testing purposes
  • Defining a Managed DataSource
  • Installing a JDBC driver as a deployment
  • Installing the JDBC Driver
  • deployment or as a core module
  • managed by the application server (and thus take advantage of the management and connection pooling facilities it provides), you must perform two tasks.  First, you must make the JDBC driver available to the application server; then you can configure the data source itself.  Once you have performed these tasks you can use the data source via standard JNDI injection.
  • recommended way to install a JDBC driver into the application server is to simply deploy it as a regular JAR deployment.  The reason for this is that when you run your application server in domain mode, deployments are automatically propagated to all servers to which the deployment applies; thus distribution of the driver JAR is one less thing for administrators to worry about.
  • Note on MySQL driver and JDBC Type 4 compliance: while the MySQL driver (at least up to 5.1.18) is designed to be a Type 4 driver, its jdbcCompliant() method always return false. The reason is that the driver does not pass SQL 92 full compliance tests, says MySQL. Thus, you will need to install the MySQL JDBC driver as a module (see below).
  • Installing a JDBC driver as a module
  • <module xmlns="urn:jboss:module:1.0" name="com.mysql">  <resources>    <resource-root path="mysql-connector-java-5.1.15.jar"/>  </resources>  <dependencies>    <module name="javax.api"/>  </dependencies></module>
  • jboss-7.0.0.<release>/modules/com/mysql/main
  • define your module with a module.xml file, and the actual jar file that contains your database driver
  • content of the module.xml file
  • Under the root directory of the application server, is a directory called modules
  • module name, which in this example is com.mysql
  • where the implementation is, which is the resource-root tag with the path element
  • define any dependencies you might have.  In this case, as the case with all JDBC data sources, we would be dependent on the Java JDBC API's, which in this case in defined in another module called javax.api, which you can find under modules/javax/api/main as you would expect.
  • Defining the DataSource itself
  •    <datasource jndi-name="java:jboss/datasources/MySqlDS" pool-name="MySqlDS">      <connection-url>jdbc:mysql://localhost:3306/EJB3</connection-url>         <driver>com.mysql</driver>
  •     <drivers>      <driver name="com.mysql" module="com.mysql">        <xa-datasource-class>com.mysql.jdbc.jdbc2.optional.MysqlXADataSource</xa-datasource-class>      </driver>    </drivers>
  • jboss-7.0.0.<release>/domain/configuration/domain.xml or jboss-7.0.0.<release>/standalone/configuration/standalone.xml
kuni katsuya

UML Class Diagrams - structure diagrams which show architecture of the designed system ... - 0 views

www.uml-diagrams.org/class-diagrams.html

UML ClassDiagram

shared by kuni katsuya on 03 Sep 12 - No Cached
  • «Boundary»
  • Boundary is a stereotyped class or object that represents some system boundary
  • «Control»
  • ...31 more annotations...
  • Control is a stereotyped class or object that is used to model flow of control or some coordination in behavior
  • usually describe some "business logic"
  • «Entity»
  • Entity is a stereotyped class or object that represents some information or data, usually but not necessarily persistent.
  • Features of a class are
  • attributes
  • operations
  • Static features are underlined
  • «Boundary»
  • «Boundary»
  • «Control»
  • «Entity»
  • «Control»
  • Interface
  • An interface is a classifier that declares of a set of coherent public features and obligations
  • specifies a contract.
  • Data Type
  • A data type is a classifier - similar to a class - whose instances are
  • identified only by their value
  • typical use of data types would be to represent value types
  • «dataType»
  • Enumeration
  • An enumeration is a data type whose values are enumerated in the model as user-defined enumeration literals.
  • «enumeration».
  • Multiplicity
  • Multiplicity allows to specify cardinality (allowed number of instances) of described element
  • Visibility
  • UML has the following types of visibility: public package protected private
  • Package visibility is represented by '~' literal.
  • Protected visibility is represented by '#' literal.
  • Private visibility is represented by '-' literal.
kuni katsuya

Value Object vs. Data Transfer Object (VO vs. DTO) : Adam Bien's Weblog - 0 views

www.adam-bien.com/...value_object_vs_data_transfer

dto valueobject pattern AdamBien

shared by kuni katsuya on 24 Jul 12 - Cached
kuni katsuya

SQL Injection - OWASP - 0 views

www.owasp.org/...SQL_injection

security SqlInjection background overview

shared by kuni katsuya on 21 Sep 12 - No Cached
  • SQL Injection
  • "injection" of a SQL query via the input data from the client to the application
  • exploit can
  • ...18 more annotations...
  • read sensitive data
  • modify database data
  • execute administration operations
  • SQL injection errors occur when:
  • Data enters a program from an
  • untrusted source
  • The data used to
  • dynamically construct a SQL query
  • consequences are:
  • Confidentiality:
  • sensitive data
  • Authentication
  • user names and passwords
  • Authorization
  • change this information
  • Integrity
  • read sensitive information
  • changes or even delete this information
kuni katsuya

Chapter 15. Data Management - 1 views

www.graniteds.org/...graniteds.datamanagement.html

graniteds tide DataManagement

shared by kuni katsuya on 23 Apr 13 - No Cached
  •  abstractEntity.uid();
    • kuni katsuya
      kuni katsuya on 23 Apr 13
       
      sets the uid before persist
  •  UUID.randomUUID().toString();
  • AbstractEntity 
  • ...70 more annotations...
  • @MappedSuperclass
  • Important things on ID/UID
  • entity lives in three layers:
  • Flex client
  • JPA persistence context
  • database
  • When updating existing entities coming from the database
  • id is defined and is maintained in the three layers during the different serialization/persistence operations
  • when a new entity is being created in any of the two upper layers (Flex/JPA)
  • new entity has no id until it has been persisted to the database
  • most common solution is to
  • have a second persisted id, the uid
  • which is created by the client and persisted along with the entity
  • recommended approach to avoid any kind of subtle problems is to have a real uid property which will be persisted in the database but is not a primary key for efficiency concerns
  • You can now ask Tide to
  • limit the object graph before sending it
  • Flex with the following API :
  • EntityGraphUnintializer
  • uninitializeEntityGraph
  • Person object will be uninitialized
  • uperson contains
  • only the minimum of data
  • to correctly merge your changes in the server persistence context
  • Tide uses the
  • client data tracking
  • to determine which parts of the graph need to be sent
  • Calling the EntityGraphUninitializer manually is a bit tedious and ugly, so there is a cleaner possibility when you are using generated typesafe service proxies
  • annotate your service method arguments with @org.granite.tide.data.Lazy :
  • @Lazy
  • take care that you have added the [Lazy] annotation to your Flex metadata compilation configuration
  • in the Flex application, register the UninitializeArgumentPreprocessor component in Tide as follows :
  • [UninitializeArgumentPreprocessor]
  • all calls to PersonService.save() will
  • automatically use a properly uninitialized version
  • of the person argument.
  • 15.4. Dirty Checking and Conflict Handling
  • simplify the handling of data between Flex and Java EE
  • Chapter 15. Data Management
  • Tide maintains a client-side cache of entity instances and ensures that every instance is unique in the Flex client context
  •  uid().hashCode();
  • Tide currently only supports Integer or Long version fields, not timestamps and that the field must be nullable
  • in a multi-tier environment (@Version annotation)
  • highly recommended to use
  • JPA optimistic locking
  • highly recommended to add a
  • persistent uid field
  • AbstractEntity
  • in general this identifier will be
  • initialized from Flex
  • @Column(name="ENTITY_UID", unique=true, nullable=false, updatable=false, length=36)     private String uid;
  • @Version     private Integer version;
  • uid().equals(((AbstractEntity)o).uid())
  • consistent identifier through all application layers
  • @PrePersist
  • 15.3. Reverse Lazy Loading
  • 15.4. Dirty Checking and Conflict Handling
  • 15.4. Dirty Checking and Conflict Handling
  • 15.4. Dirty Checking and Conflict Handling
  • Dirty Checking and Conflict Handling
  • entity instance can be in two states :
  • Stable
  • Dirty
  • property meta_dirty is
  • bindable
  • could be used
  • to enable/disable a Save button
  • correct way of knowing if any object has been changed in the context, is to use the property meta_dirty of the Tide context
  • tideContext.meta_dirty
  • reliable when using optimistic locking
  • check that its @Version field has been incremented
kuni katsuya

Forgot Password Cheat Sheet - OWASP - 0 views

www.owasp.org/...Forgot_Password_Cheat_Sheet

security authentication password ForgotPassword PasswordReset

shared by kuni katsuya on 21 Sep 12 - No Cached
  • Forgot Password Cheat Sheet
  • no industry standard for implementing a Forgot Password feature
  • Step 1) Gather Identity Data or Security Questions
  • ...12 more annotations...
  • asks the user for multiple pieces of hard data that should have been
  • previously collected
  • send the password reset information to some
  • out-of-band side-channel
  • such as a (possibly different) email address or an SMS text number, etc. to be used in Step 3.
  • Step 2) Verify Security Questions
  • application verifies that each piece of data is correct for the given username
  • If anything is incorrect, or if the username is not recognized, the second page displays a generic error message such as “Sorry, invalid data”. If all submitted data is correct, Step 2 should display at least two of the user’s pre-established personal security questions, along with input fields for the answers.
  • Avoid sending the username as a parameter
  • Do not provide a drop-down list
  • server-side session
  • user's email account may have already been compromised
kuni katsuya

databene benerator - 0 views

databene.org/databene-benerator

database testing TestDataGeneration

shared by kuni katsuya on 08 Nov 12 - No Cached
  • Databene Benerator
  • framework for generating realistic and valid high-volume test data for your system under test
  • reduces the amount of time for creating a useful data setup
  • ...15 more annotations...
  • plugin interfaces for custom extensions and mappings, allowing virtually any platform to be targeted with data generation
  • Out of the box
  • supports database systems, XML, XML Schema, CSV, Flat Files and Excel(TM) sheets
  • generators for creating domain-specific data as
  • names
  • addresses
  • How Benerator Works
  • Out of the box it supports
  • MySQL
  • XML Files
  • XMLSchema
  • CSV Files
  • Excel Sheets.
  • checking similar products!
  • Similar Products
kuni katsuya

Adobe - real time data streaming | Adobe LiveCycle Data Services ES3: Solutions - 0 views

www.adobe.com/...compare.html

livecycle es blazeds comparison lcds

shared by kuni katsuya on 18 May 12 - Cached
  • BlazeDS
  • Java NIO high-performance messaging (thousands of clients per CPU) No Yes Real Time Messaging Protocol (RTMP) No Yes Data throttling No Yes Reliable communications
  • Managed remoting
  • ...6 more annotations...
  • Transaction (batch processing)
  • Data paging
  • Lazy loading (on demand)
  • Conflict resolution and synchronization
  • SQL adapter
  • Hibernate adapter No Yes "Fiber-aware" assembler No Yes Offline synchronization framework
kuni katsuya

Dependency Injection in Java EE 6 (Part 6) - 0 views

www.theserverside.com/...-Injection-in-Java-EE-6-Part-6

injection tutorial javaee6 CDI examples

shared by kuni katsuya on 30 Jul 12 - No Cached
  • one of the most important value propositions for frameworks like Spring has been the ability to easily extend the framework or integrate third-party solutions
  • SPI allows you to register your own beans, custom scopes, stereotypes, interceptors and decorators with CDI even if is it not included in the automatic scanning process (such as perhaps registering Spring beans as CDI beans), programmatically looking up CDI beans and injecting them into your own objects (such as injecting CDI beans into Spring beans) and adding/overriding annotation-metadata from other sources (such as from a database or property file)
  • SPI can be segmented into three parts. Interfaces like Bean, Interceptor and Decorator model container meta-data (there are a few other meta-data interfaces such as ObserverMethod, Producer, InjectionTarget, InjectionPoint, AnnotatedType, AnnotatedMethod, etc). Each meta-data object encapsulates everything that the CDI container needs to know about the meta-data type
kuni katsuya

Realm | Apache Shiro - 0 views

shiro.apache.org/realm.html

Shiro Realm

shared by kuni katsuya on 09 Aug 12 - No Cached
  • A Realm is a component that can access application-specific security data such as users, roles, and permissions. The Realm translates this application-specific data into a format that Shiro understands so Shiro can in turn provide a single easy-to-understand Subject programming API no matter how many data sources exist or how application-specific your data might be.
  • A Realm is essentially a security-specific DAO
kuni katsuya

Interview of GraniteDS founders | RIAgora - 0 views

www.riagora.com/...nterview-of-graniteds-founders

graniteds blazeds comparison interview

shared by kuni katsuya on 06 Jun 12 - No Cached
  • explained the origin of GraniteDS and the differences with LiveCycle Data Services
  • ActionScript3 reflection API
  • GraniteDS 2.2
  • ...8 more annotations...
  • JSR-303 (“Bean Validation”) ActionScript3 framework for form validation
  • validation framework is a specific adaptation of the JSR-303 (Bean Validation) specification to Flex: like its Java counterpart, it relies on validation annotations placed on bean properties and provides an engine API that lets you validate your forms without writing by hand a specific validator for each of your input fields
  • code generation tools provided by GraniteDS so that when you write your Java entity bean with validation annotations, they are automatically replicated in your ActionScript3 beans
  • problem with LCDS is mainly that it promotes a strict “client / server” architecture, with – roughly speaking – a heavy Flex client application connected to a server almost reduced to a database frontend
  • big majority of  these organizations use BlazeDS, a free and open-source subset of LCDS
  • need more advanced mechanisms than just Remoting start looking for open-source libraries to enable deeper integrations with the Java business layer, and GraniteDS is for sure the most popular project
  • “Flex Data Services” (now renamed to “Live Cycle Data Services”)
  • Flex Data Services seemed too “client-centric”
kuni katsuya

VineetReynolds / Java EE 6-Galleria / wiki / DataModel - Bitbucket - 1 views

bitbucket.org/...DataModel

javaee6 example jpa ejb jsf junit4 arquillian DomainDrivenDesign ddd DataModel

shared by kuni katsuya on 21 Nov 12 - No Cached
  • Many users can be associated with a group
    • kuni katsuya
      kuni katsuya on 21 Nov 12
       
      user:group = n:m (ie. many-to-many)
  • Groups
  • groupId.
  • ...5 more annotations...
  • A User
  • userId
  • Users can have many Albums
    • kuni katsuya
      kuni katsuya on 21 Nov 12
       
      user:album = 1:n
  • Album containing Photos
    • kuni katsuya
      kuni katsuya on 21 Nov 12
       
      album:photo = 1:n
  • Physical Data Model
    • kuni katsuya
      kuni katsuya on 21 Nov 12
       
      ie. er model in database
  • kuni katsuya on 21 Nov 12
     
    Logical Data Model
kuni katsuya

AnemicDomainModel - 0 views

www.martinfowler.com/...AnemicDomainModel.html

java javaee6 anti-patterns DesignPatterns

shared by kuni katsuya on 12 Dec 12 - Cached
  • AnemicDomainModel
  • Eric Evans
  • basic symptom of an Anemic Domain Model
  • ...40 more annotations...
  • The catch comes when you look at the
  • behavior
  • there is hardly any behavior on these objects, making them little more than bags of getters and setters
  • I was chatting with
    • kuni katsuya
      kuni katsuya on 12 Dec 12
       
      note, the 'i' here, is mr. MARTIN FOWLER!! and of course, eric evans hails from domain driven design fame
  • fundamental horror
  • it's so contrary to the basic idea of object-oriented design
  • combine
  • data and process together
  • procedural style design
  • completely miss the point of what object-oriented design is all about
  • It's also worth emphasizing that putting behavior into the domain objects
  • should not contradict the solid approach of using layering to separate domain logic from such things as persistence and presentation responsibilities
  • logic that should be in a domain object is domain logic
  • validations
  • calculations
  • business rules
  • One source of confusion in all this is that many OO experts do recommend putting a layer of procedural services on top of a domain model, to form a Service Layer
  • this isn't an argument to make the domain model
  • void of behavior
  • service layer advocates use a service layer in conjunction with a behaviorally rich domain model.
  • does not contain business rules or knowledge, but
  • only coordinates
  • tasks and delegates work to
  • collaborations of domain objects
  • in the next layer down
  • can have state that reflects the
  • progress of a task
  • for the user or the program
  • Domain Layer
  • Application Layer
  • Service Layer
  • Responsible for
  • representing concepts of the business
  • business rules
  • This layer is the heart of business software
    • kuni katsuya
      kuni katsuya on 12 Dec 12
       
      ... and has the *most value* to an organization investing in writing their own software infrastructure software (eg. user interface, orm, application server-related frameworks) or plumbing code should be treated as commodities where possible, unless, the business consciously decides that a custom, home-grown implementation is absolutely required for patenting or other differentiation reasons and/or that no existing off-the-shelf solution can be used but these cases should be rare! do not blindly fall for the not-invented-here syndrome
  • all the key logic lies in the domain layer
  • I don't know why this anti-pattern is so common
  • if they come from a
  • data background
    • kuni katsuya
      kuni katsuya on 12 Dec 12
       
      this is why during every sprint, i reiterate that the data model up approach to designing the system is OH SO WRONG but nobody listens
  • J2EE's Entity Beans
    • kuni katsuya
      kuni katsuya on 12 Dec 12
       
      damn baggage from  eons ago!!!
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