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If you run the method twice, or the vehicle has already been inserted into the database, it will throw a DataIntegrityViolationException, a subclass of DataAccessException. In your DAO methods, you neither need to surround the code with a try/catch block nor declare throwing an exception in the method signature. This is because DataAccessException (and therefore its subclasses, including DataIntegrityViolationException) is an unchecked exception that you are not forced to catch. The direct parent class of DataAccessException is NestedRuntimeException, a core Spring exception class that wraps another exception in a RuntimeException. When you use the classes of the Spring JDBC framework, they will catch SQLException for you and wrap it with one of the subclasses of DataAccessException. As this exception is a RuntimeException, you are not required to catch it. But how does the Spring JDBC framework know which concrete exception in the DataAccessException hierarchy should be thrown It s by looking at the errorCode and SQLState properties of the caught SQLException. As a DataAccessException wraps the underlying SQLException as the root cause, you can inspect the errorCode and SQLState properties with the following catch block: package com.apress.springrecipes.vehicle; ... import java.sql.SQLException; import org.springframework.dao.DataAccessException; public class Main { public static void main(String[] args) { ... VehicleDao vehicleDao = (VehicleDao) context.getBean("vehicleDao"); Vehicle vehicle = new Vehicle("EX0001", "Green", 4, 4); try { vehicleDao.insert(vehicle); } catch (DataAccessException e) { SQLException sqle = (SQLException) e.getCause(); System.out.println("Error code: " + sqle.getErrorCode()); System.out.println("SQL state: " + sqle.getSQLState()); } } } When you insert the duplicate vehicle again, notice that Apache Derby returns the following error code and SQL state: Error code : -1 SQL state : 23505 If you refer to the Apache Derby reference manual, you will find the error code description shown in Table 7-2.



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finding a path in the recursion tree down to the kth smallest element then quicksort represents a full traversal, which means finding a solution for every k Which is the smallest element The second smallest And so forth By putting them all in their place, the sequence is sorted A version of quicksort is shown in Listing 6-4 Listing 6-4 Quicksort def quicksort(seq): if len(seq) <= 1: return seq # Base case lo, pi, hi = partition(seq) # pi is in its place return quicksort(lo) + [pi] + quicksort(hi) # Sort lo and hi separately As you can see, the algorithm is very simple, as long as you have partition in place (Exercises 6-11 and 6-12 ask you to rewrite quicksort and partition to yield an in-place sorting algorithm.





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More significant applications may take advantage of a database server and access persistent data by sending SQL commands to a database server to save and retrieve data. In this case, the database runs as a separate process from the application, or even on a different machine than the machine that runs the rest of the program. The components for data access are segregated from the rest of the application logic. The rationale for this approach is to centralize data to allow multiple users to simultaneously work with a common database, and to provide the ability for a central database server to share some of the load associated with running the application. This architecture is usually referred to as clientserver.

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The statement was aborted because it would have caused a duplicate key value in a unique or primary key constraint or unique index identified by '<value>' defined on '<value>'.

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) First, it splits the sequence into those we know must be to the left of pi and those that must be to the right These two halves are then sorted recursively (correct by inductive assumption) Concatenating the halves, with the pivot in the middle, is guaranteed to result in a sorted sequence Because we re not guaranteed that partition will balance the recursion properly, we know only that quicksort is loglinear in the average case in the worst case it s quadratic7 Quicksort is an example of a divide-and-conquer algorithm that does its main work before the recursive calls, in dividing its data (using partition) The combination part is trivial We can do it the other way around, though: trivially split our data down the middle, guaranteeing a balanced recursion (and a nice worst-case running time), and then make an effort at combining, or merging the results.

It s convenient and more meaningful to conceptualize the division of the responsibility into layers, or tiers. This software architecture can be shown in two tiers:

Then how does the Spring JDBC framework know that state 23505 should be mapped to DataIntegrityViolationException The error code and SQL state are database specific, which means different database products may return different codes for the same kind of error. Moreover, some database products will specify the error in the errorCode property, while others (like Derby) will do so in the SQLState property. As an open Java application framework, Spring understands the error codes of most popular database products. Because of the large number of error codes, however, it can only maintain mappings for the most frequently encountered errors. The mapping is defined in the sql-error-codes.xml file, located in the org.springframework.jdbc.support package. The following snippet for Apache Derby is taken from this file: < xml version="1.0" encoding="UTF-8" > <!DOCTYPE beans PUBLIC "-//SPRING//DTD BEAN 2.0//EN" "http://www.springframework.org/dtd/spring-beans-2.0.dtd"> <beans> ... <bean id="Derby" class="org.springframework.jdbc.support.SQLErrorCodes"> <property name="databaseProductName"> <value>Apache Derby</value> </property> <property name="useSqlStateForTranslation"> <value>true</value> </property> <property name="badSqlGrammarCodes"> <value> 42802,42821,42X01,42X02,42X03,42X04,42X05,42X06,42X07,42X08 </value> </property> <property name="dataAccessResourceFailureCodes"> <value>04501,08004,42Y07</value> </property> <property name="dataIntegrityViolationCodes"> <value>22001,22005,23502,23503,23505,23513,X0Y32</value> </property> <property name="cannotAcquireLockCodes"> <value>40XL1</value> </property> <property name="deadlockLoserCodes"> <value>40001</value>

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