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In chunk-oriented processing, input is read from a reader, optionally processed, and then aggregated Finally, at a configurable interval as specified by the commit-interval attribute to configure how many items will be processed before the transaction is committed all the input is sent to the writer If there is a transaction manager in play, the transaction is also committed Right before a commit, the metadata in the database is updated to mark the progress of the job There are some nuances surrounding the aggregation of the input (read) values when a transactionaware writer (or processor) rolls back Spring Batch caches the values it reads and writes them to the writer If the writer component is transactional, like a database, and the reader is not, there s nothing inherently wrong with caching the read values and perhaps retrying or taking some alternative approach.

The schema privileges are a very convenient set to provide to developers. It allows freedom to continuously refine objects within the parameters of the schema. For day-to-day use of programmatic constructs, several privileges are key, as shown in Table 10-4. Table 10-4. Procedure/Function Object Privileges

If the reader itself is also transactional, then the values read from the resource will be rolled back and could conceivably change, rendering the in-memory cached values stale If this happens, you can configure the chunk to not cache the values using reader-transactional-queue="true" on the chunk element..

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The great developers are tired of debugging or rewriting the code that just can t possibly work. And they re frustrated that management doesn t seem to care that incompetence goes unpunished, which implies that competence goes unrewarded. The bottom line is that cleaning house, as long as it s done all at once, can often result in improved morale.

The first responsibility is reading a file from the file system. You use a provided implementation for the example. Reading CSV files is a very common scenario, and Spring Batch s support does not disappoint. The org.springframework.batch.item.file.FlatFileItemReader<T> class delegates the task of delimiting fields and records within a file to a LineMapper<T>, which in turn delegates the task of identifying the fields within that record, to LineTokenizer. You use a org.springframework.batch.item.file.transform.DelimitedLineTokenizer, which is configured to delineate fields separated by a , character. The FlatFileItemReader also declares a fieldSetMapper attribute that requires an implementation of FieldSetMapper. This bean is responsible for taking the input name/value pairs and producing a type that will be given to the writer component. In this case, you use an BeanWrapperFieldSetMapper that will create a JavaBean POJO of type UserRegistration. You name the fields so that you can reference them later in the configuration. These names don t have to be the values of some header row in the input file; they just have to correspond to the order in which the fields are found in the input file. These names are also used by the FieldSetMapper to match properties on a POJO. As each record is read, the values are applied to an instance of a POJO, and that POJO is returned. <beans:bean id="csvFileReader" class="org.springframework.batch.item.file.FlatFileItemReader" p:resource="file:${user.home}/batches/registrations.csv"> <beans:property name="lineMapper"> <beans:bean class="org.springframework.batch.item.file.mapping.DefaultLineMapper"> <beans:property name="lineTokenizer"> <beans:bean class="org.springframework.batch.item.file. transform.DelimitedLineTokenizer" p:delimiter="," p:names="firstName,lastName,company,address, city,state,zip,county,url,phoneNumber,fax" /> </beans:property> <beans:property name="fieldSetMapper"> <beans:bean class="org.springframework.batch.item.file.mapping.BeanWrapperFieldSetMapper" p:targetType="com.apress.springrecipes.springbatch.UserRegistration" /> </beans:property> </beans:bean> </beans:property> </beans:bean> The class returned from the reader, UserRegistration, is a rather plain JavaBean.

Applies to packages, procedures, and functions, granting the user the ability to execute the named code. Empowers the user to rebind a package to the database.

package com.apress.springrecipes.springbatch.solution1; public class UserRegistration implements Serializable { private private private private private private private private private private private String String String String String String String String String String String firstName; lastName; company; address; city; state; zip; county; url; phoneNumber; fax;

// accessor / mutators omitted for brevity }

The EXECUTE privilege is a very important one to keep in mind. In many design environments, it is preferable to control all data access using just procedures and functions. So instead of providing users direct SELECT, INSERT, UPDATE, or DELETE powers over the underlying data, they are just granted a controlled set of EXECUTE permissions on code that performs these tasks in controlled ways. This ensures that your data is protected by consistent business logic. DB2 calls this indirect privilege, and you ll see this mentioned in the core DB2 documentation. The last set of privileges shown in Table 10-5 relates to most objects and is used as a catch-all technique to manage groups of privileges simultaneously. Table 10-5. Miscellaneous Privileges

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