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il.setVat(new BigDecimal("1.175")); il.setProductCode("Code"); invoice.addInvoiceLine(il); } invoices.add(invoice); } ... } The implementation of the BatchInvoiceDao, JdbcBatchInvoiceDao, is quite complex (see Listing 22-13), but using this approach, we have improved performance five times, reducing execution time from 5,500 milliseconds down to 1,100 milliseconds. Listing 22-13. JdbcBatchInvoiceDao Implementation public class JdbcBatchInvoiceDao extends JdbcDaoSupport implements BatchInvoiceDao { private static class SequenceNextvalSelect extends MappingSqlQuery { // omitted for brevity } private static class InsertInvoicePreparedStatementCreator implements PreparedStatementCreator { // omitted for brevity } private static class InsertInvoiceLinePreparedStatementCreator implements PreparedStatementCreator { // omitted for brevity } private static class InsertInvoicePreparedStatementSetter implements PreparedStatementSetter { // omitted for brevity } private static class InsertInvoiceLinePreparedStatementSetter implements PreparedStatementSetter { // omitted for brevity } private InsertInvoicePreparedStatementCreator insertInvoicePreparedStatementCreator; private InsertInvoiceLinePreparedStatementCreator insertInvoiceLinePreparedStatementCreator; public JdbcBatchInvoiceDao() { this.insertInvoicePreparedStatementCreator = new InsertInvoicePreparedStatementCreator(); this.insertInvoiceLinePreparedStatementCreator = new InsertInvoiceLinePreparedStatementCreator(); }

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nformation is available at our fingertips all the time if we want it these days I remember the days back when I was a teenager Music and movies were, and always will be, two of my top interests This obsession started during my teens, and I chased rare records of my favorite artists and hard-to-find horror movies everywhere When I found a rare vinyl pressing of a precious record from the United States, for instance, I was ecstatic Not to mention my emotional turmoil when I managed to purchase a Japanese edition of the same record Those days I wrote snail mail asking for record mail-order catalogs from all over the world, based on ads in magazines such as Rolling Stone or Melody Maker After carefully considering what I wanted to purchase, I wrote down my purchase order, enclosed crisp bills, and sent a letter with my order inside.

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public void insertAll(final List<Invoice> invoices) { getJdbcTemplate().execute(new ConnectionCallback() { public Object doInConnection(Connection con) throws SQLException, DataAccessException { PreparedStatement insInv = insertInvoicePreparedStatementCreator. createPreparedStatement(con); PreparedStatement insInvLine = insertInvoiceLinePreparedStatementCreator. createPreparedStatement(con); SequenceNextvalSelect snvs = new SequenceNextvalSelect(getDataSource()); for (Invoice invoice : invoices) { invoice.setId((Long)snvs.findObject(new Object[]{})); new InsertInvoicePreparedStatementSetter(invoice). setValues(insInv); insInv.addBatch(); } insInv.executeBatch(); for (Invoice invoice : invoices) { for (InvoiceLine line : invoice.getLines()) { new InsertInvoiceLinePreparedStatementSetter(line). setValues(insInvLine); insInvLine.addBatch(); } } insInvLine.executeBatch(); return null; } }); } } We admit that the JDBC batch code is not pretty, but it clearly demonstrates the point that batching the data modification operations will make a significant difference, especially as the batch size grows. As well as JDBC batching, we recommend that you make full use of the features available in your database. For example, if your database supports CSV or Excel imports, use that functionality! The performance of the database s data import tools will, in most cases, be an order of magnitude better than the best code using JDBC batching in Java.

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Transaction management is closely related to the data access tier: the transactional methods in the service tier usually involve more than one call to the data access tier. We have already covered the inappropriate use of transactions to fetch lazily loaded associations, but there are further optimizations we can make. First, you should mark the transaction as read-only whenever your code will not modify any data. The databases can adopt different strategies when dealing with read-only transactions. Therefore, the DefaultInvoiceService s transactional configuration should be read-only for the find* methods and read-write for all other methods. Further, we can consider explicitly setting the isolation level: the find* methods can use the READ_COMMITTED isolation level. You should carefully

Then came the long wait for the package And believe you me, this wait could be long indeed These days I just go on the Internet, check some sites, and purchase what I want directly by using a credit card The stock of many sites is so huge compared to what they were in my teens, and I can usually find what I want very quickly In a few days the package comes, and I can start using the things I bought We communicate differently as well Sites such as MySpace and Facebook have generated massive followers, not only by the early adopters of technology, but by our societies as a whole MSN Messenger, mobile phones, Short Message Service (SMS), and other means of communication practically have exploded, at least in the parts of the world where the infrastructure for this is available.

consider higher isolation levels, particularly SERIALIZABLE Having multiple transactions in the SERIALIZABLE isolation level greatly increases the chance of reaching a deadlock Listing 22-14 shows the service-contextxml configuration file that addresses all these considerations Listing 22-14 Tuned services-contextxml < xml version="10" encoding="UTF-8" > <beans xmlns="http://wwwspringframeworkorg/schema/beans" xmlns:xsi="http://wwww3org/2001/XMLSchema-instance" xmlns:tx="http://wwwspringframeworkorg/schema/tx" xmlns:aop="http://wwwspringframeworkorg/schema/aop" xsi:schemaLocation=" http://wwwspringframeworkorg/schema/beans http://wwwspringframeworkorg/schema/beans/spring-beansxsd http://wwwspringframeworkorg/schema/tx http://wwwspringframeworkorg/schema/tx/spring-txxsd http://wwwspringframeworkorg/schema/aop http://wwwspringframeworkorg/schema/aop/spring-aopxsd"> <tx:advice id="txAdvice" transaction-manager="transactionManager"> <tx:attributes> <tx:method name="find*" read-only="true" isolation="READ_COMMITTED" timeout="5"/> <tx:method name="*" propagation="REQUIRES_NEW"/> </tx:attributes> </tx:advice> <aop:config> <aop:pointcut id="serviceOperation" expression="execution(* comapressprospring2ch23service**(.))"/> <aop:advisor advice-ref="txAdvice" pointcut-ref="serviceOperation"/> </aop:config> <bean id="invoiceService" class="comapressprospring2ch23serviceDefaultInvoiceService"> <property name="invoiceDao" ref="invoiceDao"/> </bean> </beans> Here, we see that the find* methods are read-only: they execute under the READ_COMMITTED isolation level and have a very low (5 seconds) timeout.

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