Hibernate Reference Documentation

Total Page:16

File Type:pdf, Size:1020Kb

Hibernate Reference Documentation Hibernate Reference Documentation Version: 3.0alpha Table of Contents Preface ...........................................................................................................................................vii 1. Quickstart with Tomcat ..............................................................................................................1 1.1. Getting started with Hibernate ............................................................................................. 1 1.2. First persistent class ........................................................................................................... 3 1.3. Mapping the cat ................................................................................................................. 4 1.4. Playing with cats ................................................................................................................ 5 1.5. Finally ...............................................................................................................................7 2. Architecture ................................................................................................................................8 2.1. Overview ...........................................................................................................................8 2.2. Instance states .................................................................................................................. 10 2.3. JMX Integration ............................................................................................................... 10 2.4. JCA Support .................................................................................................................... 10 3. Configuration ............................................................................................................................ 12 3.1. Programmatic configuration .............................................................................................. 12 3.2. Obtaining a SessionFactory ............................................................................................... 12 3.3. User provided JDBC connection ....................................................................................... 13 3.4. Hibernate provided JDBC connection ................................................................................ 13 3.5. Optional configuration properties ...................................................................................... 15 3.5.1. SQL Dialects ......................................................................................................... 18 3.5.2. Outer Join Fetching ............................................................................................... 19 3.5.3. Binary Streams ...................................................................................................... 19 3.5.4. Second-level and query cache ................................................................................. 19 3.5.5. Transaction strategy configuration .......................................................................... 19 3.5.6. JNDI-bound SessionFactory ................................................................................... 20 3.5.7. Query Language Substitution ................................................................................. 20 3.5.8. Hibernate statistics ................................................................................................ 21 3.6. Logging ........................................................................................................................... 21 3.7. Implementing a NamingStrategy ....................................................................................... 21 3.8. XML Configuration File ................................................................................................... 21 4. Persistent Classes ...................................................................................................................... 23 4.1. A simple POJO example ................................................................................................... 23 4.1.1. Declare accessors and mutators for persistent fields ................................................. 24 4.1.2. Implement a no-argument constructor ..................................................................... 24 4.1.3. Provide an identifier property (optional) .................................................................. 24 4.1.4. Prefer non-final classes (optional) ........................................................................... 25 4.2. Implementing inheritance ................................................................................................. 25 4.3. Implementing equals() and hashCode() .............................................................................. 25 4.4. Dynamic models .............................................................................................................. 26 5. Basic O/R Mapping ................................................................................................................... 28 5.1. Mapping declaration ......................................................................................................... 28 5.1.1. Doctype ................................................................................................................ 29 5.1.2. hibernate-mapping ................................................................................................. 29 5.1.3. class, dynamic-class .............................................................................................. 30 5.1.4. id .......................................................................................................................... 32 5.1.4.1. generator .................................................................................................... 32 5.1.4.2. Hi/lo algorithm ........................................................................................... 33 5.1.4.3. UUID algorithm ......................................................................................... 34 5.1.4.4. Identity columns and sequences ................................................................... 34 Hibernate 3.0alpha ii HIBERNATE - Relational Persistence for Idiomatic Java 5.1.4.5. Assigned identifiers .................................................................................... 34 5.1.4.6. Primary keys assigned by triggers ................................................................ 34 5.1.5. composite-id ......................................................................................................... 34 5.1.6. discriminator ......................................................................................................... 35 5.1.7. version (optional) .................................................................................................. 36 5.1.8. timestamp (optional) .............................................................................................. 36 5.1.9. property ................................................................................................................ 37 5.1.10. many-to-one ........................................................................................................ 38 5.1.11. one-to-one ........................................................................................................... 39 5.1.12. component, dynamic-component .......................................................................... 40 5.1.13. subclass .............................................................................................................. 41 5.1.14. joined-subclass .................................................................................................... 41 5.1.15. union-subclass ..................................................................................................... 42 5.1.16. join ..................................................................................................................... 43 5.1.17. key ..................................................................................................................... 43 5.1.18. map, set, list, bag ................................................................................................. 44 5.1.19. import ................................................................................................................. 44 5.2. Hibernate Types ............................................................................................................... 44 5.2.1. Entities and values ................................................................................................. 44 5.2.2. Basic value types ................................................................................................... 45 5.2.3. Custom value types ............................................................................................... 46 5.2.4. Any type mappings ................................................................................................ 46 5.3. SQL quoted identifiers ...................................................................................................... 47 5.4. Modular mapping files ...................................................................................................... 47 5.5. Using XDoclet markup ..................................................................................................... 48 6. Collection
Recommended publications
  • Create Trigger Schema Postgresql
    Create Trigger Schema Postgresql Diligent Gallagher sometimes gallants any harp reinforms single-mindedly. Lumpier and exarate Scott tongue limitedly and isolated his interactions approvingly and incorruptly. Tinniest and unabolished Berkie never opaquing quiveringly when Morton fall-back his duress. The legitimate unique identifier for house person. Now is are going to supervise an SQL file for adding data argue the table. You might declare a CURSOR, use case query. The privileges required by postgres function level, more triggers are processed by a predefined set of a particular order to store structured data. Use bleach if exists option and remove one arm more views from pan database database in not current. This is considered more consistent. Already loaded into different schemas live inside hasura became a create triggers and creates a couple of creating user? We can prevent all kinds of looping code in procedures with aggregate queries to a client like where tp where not a logical view! CREATE then REPLACE FUNCTION public. This way to be buffered to delete on geometry columns changes have created in postgresql create trigger against by trigger automatically drops an insert and occasional baby animal gifs! This is impossible except by anyone, check before insert or functions in which takes a create trigger postgresql create additional tables are enabled when date? For application that makes their first. We did with respect to spot when a system section provides an audit table belongs to remove trigger is used inside their twin daughters. Such as mentioned in postgresql create schema objects scripted would not. Many explanations from this document have been extracted from there.
    [Show full text]
  • Create Table Identity Primary Key Sql Server
    Create Table Identity Primary Key Sql Server Maurits foozle her Novokuznetsk sleeplessly, Johannine and preludial. High-principled and consonantal Keil often stroke triboluminescentsome proletarianization or spotlight nor'-east plop. or volunteer jealously. Foul-spoken Fabio always outstrips his kursaals if Davidson is There arise two ways to create tables in your Microsoft SQL database. Microsoft SQL Server has built-in an identity column fields which. An identity column contains a known numeric input for a row now the table. SOLVED Can select remove Identity from a primary case with. There cannot create table created on every case, primary key creates the server identity column if the current sql? As I today to refute these records into a U-SQL table review I am create a U-SQL database. Clustering option requires separate table created sequence generator always use sql server tables have to the key. This key creates the primary keys per the approach is. We love create Auto increment columns in oracle by using IDENTITY. PostgreSQL Identity Column PostgreSQL Tutorial. Oracle Identity Column A self-by-self Guide with Examples. Constraints that table created several keys means you can promote a primary. Not logged in Talk Contributions Create account already in. Primary keys are created, request was already creates a low due to do not complete this. IDENTITYNOT NULLPRIMARY KEY Identity Sequence. How weak I Reseed a SQL Server identity column TechRepublic. Hi You can use one query eg Hide Copy Code Create table tblEmplooyee Recordid bigint Primary key identity. SQL CREATE TABLE Statement Tutorial Republic. Hcl will assume we need be simplified to get the primary key multiple related two dissimilar objects or adding it separates structure is involved before you create identity? When the identity column is part of physician primary key SQL Server.
    [Show full text]
  • Creating Triggers with Trigger-By-Example in Graph Databases
    Creating Triggers with Trigger-By-Example in Graph Databases Kornelije Rabuzin a and Martina Sestakˇ b Faculty of Organization and Informatics, University of Zagreb, Pavlinska 2, 42000 Varazdin,ˇ Croatia Keywords: Trigger-By-Example, Graph Databases, Triggers, Active Databases. Abstract: In recent years, NoSQL graph databases have received an increased interest in the research community. Vari- ous query languages have been developed to enable users to interact with a graph database (e.g. Neo4j), such as Cypher or Gremlin. Although the syntax of graph query languages can be learned, inexperienced users may encounter learning difficulties regardless of their domain knowledge or level of expertise. For this reason, the Query-By-Example approach has been used in relational databases over the years. In this paper, we demon- strate how a variation of this approach, the Trigger-By-Example approach, can be used to define triggers in graph databases, specifically Neo4j, as database mechanisms activated upon a given event. The proposed ap- proach follows the Event-Condition-Action model of active databases, which represents the basis of a trigger. To demonstrate the proposed approach, a special graphical interface has been developed, which enables users to create triggers in a short series of steps. The proposed approach is tested on several sample scenarios. 1 INTRODUCTION Example approach has been introduced to simplify the process of designing database triggers. The The idea of active mechanisms able to react to a spec- approach uses the Query-By-Example (QBE) as a ified event implemented in database systems dates graphical interface for creating triggers (Lee et al., from 1975, when it was first implemented in IBM’s 2000b), and makes the entire trigger design process System R.
    [Show full text]
  • Keys Are, As Their Name Suggests, a Key Part of a Relational Database
    The key is defined as the column or attribute of the database table. For example if a table has id, name and address as the column names then each one is known as the key for that table. We can also say that the table has 3 keys as id, name and address. The keys are also used to identify each record in the database table . Primary Key:- • Every database table should have one or more columns designated as the primary key . The value this key holds should be unique for each record in the database. For example, assume we have a table called Employees (SSN- social security No) that contains personnel information for every employee in our firm. We’ need to select an appropriate primary key that would uniquely identify each employee. Primary Key • The primary key must contain unique values, must never be null and uniquely identify each record in the table. • As an example, a student id might be a primary key in a student table, a department code in a table of all departments in an organisation. Unique Key • The UNIQUE constraint uniquely identifies each record in a database table. • Allows Null value. But only one Null value. • A table can have more than one UNIQUE Key Column[s] • A table can have multiple unique keys Differences between Primary Key and Unique Key: • Primary Key 1. A primary key cannot allow null (a primary key cannot be defined on columns that allow nulls). 2. Each table can have only one primary key. • Unique Key 1. A unique key can allow null (a unique key can be defined on columns that allow nulls.) 2.
    [Show full text]
  • Rfgen Users Guide
    DataMax Software Group Inc. 1101 Investment Blvd. El Dorado Hills, CA 95762 USA RFgen Users Guide All Editions RFgen 5.2 © 2021 RFgen Software. A division of DataMAX Software Group, Inc. All Rights Reserved. RFgen 5.2 Users Guide Table of Contents Introduction to RFgen 1 Connection Tab 33 Basic Implementation Steps 2 Connection Tab - SAP 33 Configuration Overview 3 SAP Data Encryption 34 Configurations Shared by Dev Studio To Configure for JDE 35 and Services Console: 3 Adding A New Web Services Connection 40 Connections Shared by Dev Studio Configuring the Host Connection 42 and Services Console: 4 Configuring User Access Control 45 Configurations Available Only in Dev Studio 4 Adding or Removing RFgen Admin- istrators / RFgen SubAdmins 46 Connections Available Only in Dev Studio 4 Dev Studio Configuration Options 47 Configuring the RFgen Application Data- Configuring Menu and Key Settings 48 base 4 System Menu Configuration 48 Configuring Application Preferences 7 Function Key Actions 49 Configuring Application Services 10 Configuring the Scripting Environment 50 Configuring Environment Settings 14 Configuring Source Control Options 52 Configure System Environment 14 Configuring System Properties 54 Configuring Transaction Management DB Connection 19 Download Enterprise Objects 54 Create Application Event Database 19 Downloading ERP Business Functions 55 Configuring System Queues and Tasks 20 Downloading JDE Processing Options 55 Add New Enterprise Connections 22 Viewing Enterprise Objects 57 Adding a New DataSource Connection 22 Viewing
    [Show full text]
  • CANDIDATE KEYS a Candidate Key of a Relation Schema R Is a Subset X
    CANDIDATEKEYS A candidate key of a relation schema R is a subset X of the attributes of R with the following twoproperties: 1. Every attribute is functionally dependent on X, i.e., X + =all attributes of R (also denoted as X + =R). 2. No proper subset of X has the property (1), i.e., X is minimal with respect to the property (1). A sub-key of R: asubset of a candidate key; a super-key:aset of attributes containing a candidate key. We also use the abbreviation CK to denote "candidate key". Let R(ABCDE) be a relation schema and consider the fol- lowing functional dependencies F = {AB → E, AD → B, B → C, C → D}. Since (AC)+ =ABCDE, A+ =A,and C+ =CD, we knowthat ACisacandidate key,both A and C are sub-keys, and ABC is a super-key.The only other candidate keysare AB and AD. Note that since nothing determines A, A is in every can- didate key. -2- Computing All Candidate Keys of a Relation R. Givenarelation schema R(A1, A2,..., An)and a set of functional dependencies F which hold true on R, howcan we compute all candidate keysofR? Since each candidate key must be a minimal subset Z of {A1,..., + An}such that Z =R,wehav e the following straightforward (and brute-force) algorithm: (1) Construct alist L consisting of all non-empty subsets of {A1, n − ..., An}(there are 2 1ofthem). These subsets are arranged in L in ascending order of the size of the subset: 〈 〉 ≤ We get L = Z1, Z2,..., Z2n−1 ,such that |Zi| |Zi+1|.
    [Show full text]
  • Process Synchronisation Background (1)
    Process Synchronisation Background (1) Concurrent access to shared data may result in data inconsistency Maintaining data consistency requires mechanisms to ensure the orderly execution of cooperating processes Producer Consumer Background (2) Race condition count++ could be implemented as register1 = count register1 = register1 + 1 count = register1 count- - could be implemented as register2 = count register2 = register2 - 1 count = register2 Consider this execution interleaving with ―count = 5‖ initially: S0: producer execute register1 = count {register1 = 5} S1: producer execute register1 = register1 + 1 {register1 = 6} S2: consumer execute register2 = count {register2 = 5} S3: consumer execute register2 = register2 - 1 {register2 = 4} S4: producer execute count = register1 {count = 6 } S5: consumer execute count = register2 {count = 4} Solution: ensure that only one process at a time can manipulate variable count Avoid interference between changes Critical Section Problem Critical section: a segment of code in which a process may be changing Process structure common variables ◦ Only one process is allowed to be executing in its critical section at any moment in time Critical section problem: design a protocol for process cooperation Requirements for a solution ◦ Mutual exclusion ◦ Progress ◦ Bounded waiting No assumption can be made about the relative speed of processes Handling critical sections in OS ◦ Pre-emptive kernels (real-time programming, more responsive) Linux from 2.6, Solaris, IRIX ◦ Non-pre-emptive kernels (free from race conditions) Windows XP, Windows 2000, traditional UNIX kernel, Linux prior 2.6 Peterson’s Solution Two process solution Process Pi ◦ Mutual exclusion is preserved? ◦ The progress requirements is satisfied? ◦ The bounded-waiting requirement is met? Assumption: LOAD and STORE instructions are atomic, i.e.
    [Show full text]
  • Gnu Smalltalk Library Reference Version 3.2.5 24 November 2017
    gnu Smalltalk Library Reference Version 3.2.5 24 November 2017 by Paolo Bonzini Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts. A copy of the license is included in the section entitled \GNU Free Documentation License". 1 3 1 Base classes 1.1 Tree Classes documented in this manual are boldfaced. Autoload Object Behavior ClassDescription Class Metaclass BlockClosure Boolean False True CObject CAggregate CArray CPtr CString CCallable CCallbackDescriptor CFunctionDescriptor CCompound CStruct CUnion CScalar CChar CDouble CFloat CInt CLong CLongDouble CLongLong CShort CSmalltalk CUChar CByte CBoolean CUInt CULong CULongLong CUShort ContextPart 4 GNU Smalltalk Library Reference BlockContext MethodContext Continuation CType CPtrCType CArrayCType CScalarCType CStringCType Delay Directory DLD DumperProxy AlternativeObjectProxy NullProxy VersionableObjectProxy PluggableProxy SingletonProxy DynamicVariable Exception Error ArithmeticError ZeroDivide MessageNotUnderstood SystemExceptions.InvalidValue SystemExceptions.EmptyCollection SystemExceptions.InvalidArgument SystemExceptions.AlreadyDefined SystemExceptions.ArgumentOutOfRange SystemExceptions.IndexOutOfRange SystemExceptions.InvalidSize SystemExceptions.NotFound SystemExceptions.PackageNotAvailable SystemExceptions.InvalidProcessState SystemExceptions.InvalidState
    [Show full text]
  • Chapter 10. Declarative Constraints and Database Triggers
    Chapter 10. Declarative Constraints and Database Triggers Table of contents • Objectives • Introduction • Context • Declarative constraints – The PRIMARY KEY constraint – The NOT NULL constraint – The UNIQUE constraint – The CHECK constraint ∗ Declaration of a basic CHECK constraint ∗ Complex CHECK constraints – The FOREIGN KEY constraint ∗ CASCADE ∗ SET NULL ∗ SET DEFAULT ∗ NO ACTION • Changing the definition of a table – Add a new column – Modify an existing column’s type – Modify an existing column’s constraint definition – Add a new constraint – Drop an existing constraint • Database triggers – Types of triggers ∗ Event ∗ Level ∗ Timing – Valid trigger types • Creating triggers – Statement-level trigger ∗ Option for the UPDATE event – Row-level triggers ∗ Option for the row-level triggers – Removing triggers – Using triggers to maintain referential integrity – Using triggers to maintain business rules • Additional features of Oracle – Stored procedures – Function and packages – Creating procedures – Creating functions 1 – Calling a procedure from within a function and vice versa • Discussion topics • Additional content and activities Objectives At the end of this chapter you should be able to: • Know how to capture a range of business rules and store them in a database using declarative constraints. • Describe the use of database triggers in providing an automatic response to the occurrence of specific database events. • Discuss the advantages and drawbacks of the use of database triggers in application development. • Explain how stored procedures can be used to implement processing logic at the database level. Introduction In parallel with this chapter, you should read Chapter 8 of Thomas Connolly and Carolyn Begg, “Database Systems A Practical Approach to Design, Imple- mentation, and Management”, (5th edn.).
    [Show full text]
  • Learning Javascript Design Patterns
    Learning JavaScript Design Patterns Addy Osmani Beijing • Cambridge • Farnham • Köln • Sebastopol • Tokyo Learning JavaScript Design Patterns by Addy Osmani Copyright © 2012 Addy Osmani. All rights reserved. Revision History for the : 2012-05-01 Early release revision 1 See http://oreilly.com/catalog/errata.csp?isbn=9781449331818 for release details. ISBN: 978-1-449-33181-8 1335906805 Table of Contents Preface ..................................................................... ix 1. Introduction ........................................................... 1 2. What is a Pattern? ...................................................... 3 We already use patterns everyday 4 3. 'Pattern'-ity Testing, Proto-Patterns & The Rule Of Three ...................... 7 4. The Structure Of A Design Pattern ......................................... 9 5. Writing Design Patterns ................................................. 11 6. Anti-Patterns ......................................................... 13 7. Categories Of Design Pattern ............................................ 15 Creational Design Patterns 15 Structural Design Patterns 16 Behavioral Design Patterns 16 8. Design Pattern Categorization ........................................... 17 A brief note on classes 17 9. JavaScript Design Patterns .............................................. 21 The Creational Pattern 22 The Constructor Pattern 23 Basic Constructors 23 Constructors With Prototypes 24 The Singleton Pattern 24 The Module Pattern 27 iii Modules 27 Object Literals 27 The Module Pattern
    [Show full text]
  • IDUG NA 2007 Michael Paris: Hitchhikers Guide to Data Replication the Story Continues
    Session: I09 Hitchhikers Guide to Data Replication The Story Continues ... Michael Paris Trans Union LLC May 9, 2007 9:50 a.m. – 10:50 a.m. Platform: Cross-Platform TransUnion is a global leader in credit and information management. For more than 30 years, we have worked with businesses and consumers to gather, analyze and deliver the critical information needed to build strong economies throughout the world. The result? Businesses can better manage risk and customer relationships. And consumers can better understand and manage credit so they can achieve their financial goals. Our dedicated associates support more than 50,000 customers on six continents and more than 500 million consumers worldwide. 1 The Hitchhiker’s Guide to IBM Data Replication • Rules for successful hitchhiking ••DONDON’’TT PANICPANIC •Know where your towel is •There is more than meets the eye •Have this guide and supplemental IBM materials at your disposal 2 Here are some additional items to keep in mind besides not smoking (we are forced to put you out before the sprinklers kick in) and silencing your electronic umbilical devices (there is something to be said for the good old days of land lines only and Ma Bell). But first a definition Hitchhike: Pronunciation: 'hich-"hIk Function: verb intransitive senses 1 : to travel by securing free rides from passing vehicles 2 : to be carried or transported by chance or unintentionally <destructive insects hitchhiking on ships> transitive senses : to solicit and obtain (a free ride) especially in a passing vehicle -hitch·hik·er noun – person that does the above Opening with the words “Don’t Panic” will instill a level of trust that at least by the end of this presentation you will be able to engage in meaningful conversations with your peers and management on the subject of replication.
    [Show full text]
  • Forensic Attribution Challenges During Forensic Examinations of Databases
    Forensic Attribution Challenges During Forensic Examinations Of Databases by Werner Karl Hauger Submitted in fulfilment of the requirements for the degree Master of Science (Computer Science) in the Faculty of Engineering, Built Environment and Information Technology University of Pretoria, Pretoria September 2018 Publication data: Werner Karl Hauger. Forensic Attribution Challenges During Forensic Examinations Of Databases. Master's disser- tation, University of Pretoria, Department of Computer Science, Pretoria, South Africa, September 2018. Electronic, hyperlinked versions of this dissertation are available online, as Adobe PDF files, at: https://repository.up.ac.za/ Forensic Attribution Challenges During Forensic Examinations Of Databases by Werner Karl Hauger E-mail: [email protected] Abstract An aspect of database forensics that has not yet received much attention in the aca- demic research community is the attribution of actions performed in a database. When forensic attribution is performed for actions executed in computer systems, it is nec- essary to avoid incorrectly attributing actions to processes or actors. This is because the outcome of forensic attribution may be used to determine civil or criminal liabil- ity. Therefore, correctness is extremely important when attributing actions in computer systems, also when performing forensic attribution in databases. Any circumstances that can compromise the correctness of the attribution results need to be identified and addressed. This dissertation explores possible challenges when performing forensic attribution in databases. What can prevent the correct attribution of actions performed in a database? The first identified challenge is the database trigger, which has not yet been studied in the context of forensic examinations. Therefore, the dissertation investigates the impact of database triggers on forensic examinations by examining two sub questions.
    [Show full text]