# What’s New in Spring Batch 4.3
# What’s New in Spring Batch 4.3
This release comes with a number of new features, performance improvements, dependency updates and API deprecations. This section describes the most important changes. For a complete list of changes, please refer to therelease notes (opens new window).
# New features
# New synchronized ItemStreamWriter
Similar to the SynchronizedItemStreamReader, this release introduces aSynchronizedItemStreamWriter. This feature is useful in multi-threaded steps
where concurrent threads need to be synchronized to not override each other’s writes.
# New JpaQueryProvider for named queries
This release introduces a new JpaNamedQueryProvider next to theJpaNativeQueryProvider to ease the configuration of JPA named queries when
using the JpaPagingItemReader:
JpaPagingItemReader<Foo> reader = new JpaPagingItemReaderBuilder<Foo>()
.name("fooReader")
.queryProvider(new JpaNamedQueryProvider("allFoos", Foo.class))
// set other properties on the reader
.build();
# New JpaCursorItemReader Implementation
JPA 2.2 added the ability to stream results as a cursor instead of only paging.
This release introduces a new JPA item reader that uses this feature to
stream results in a cursor-based fashion similar to the JdbcCursorItemReaderand HibernateCursorItemReader.
# New JobParametersIncrementer implementation
Similar to the RunIdIncrementer, this release adds a new JobParametersIncrementerthat is based on a DataFieldMaxValueIncrementer from Spring Framework.
# GraalVM Support
This release adds initial support to run Spring Batch applications on GraalVM. The support is still experimental and will be improved in future releases.
# Java records Support
This release adds support to use Java records as items in chunk-oriented steps.
The newly added RecordFieldSetMapper supports data mapping from flat files to
Java records, as shown in the following example:
@Bean
public FlatFileItemReader<Person> itemReader() {
return new FlatFileItemReaderBuilder<Person>()
.name("personReader")
.resource(new FileSystemResource("persons.csv"))
.delimited()
.names("id", "name")
.fieldSetMapper(new RecordFieldSetMapper<>(Person.class))
.build();
}
In this example, the Person type is a Java record defined as follows:
public record Person(int id, String name) { }
The FlatFileItemReader uses the new RecordFieldSetMapper to map data from
the persons.csv file to records of type Person.
# Performance improvements
# Use bulk writes in RepositoryItemWriter
Up to version 4.2, in order to use CrudRepository#saveAll in RepositoryItemWriter,
it was required to extend the writer and override write(List).
In this release, the RepositoryItemWriter has been updated to useCrudRepository#saveAll by default.
# Use bulk writes in MongoItemWriter
The MongoItemWriter used MongoOperations#save() in a for loop
to save items to the database. In this release, this writer has been
updated to use org.springframework.data.mongodb.core.BulkOperations instead.
# Job start/restart time improvement
The implementation of JobRepository#getStepExecutionCount() used to load
all job executions and step executions in-memory to do the count on the framework
side. In this release, the implementation has been changed to do a single call to
the database with a SQL count query in order to count step executions.
# Dependency updates
This release updates dependent Spring projects to the following versions:
Spring Framework 5.3
Spring Data 2020.0
Spring Integration 5.4
Spring AMQP 2.3
Spring for Apache Kafka 2.6
Micrometer 1.5
# Deprecations
# API deprecation
The following is a list of APIs that have been deprecated in this release:
org.springframework.batch.core.repository.support.MapJobRepositoryFactoryBeanorg.springframework.batch.core.explore.support.MapJobExplorerFactoryBeanorg.springframework.batch.core.repository.dao.MapJobInstanceDaoorg.springframework.batch.core.repository.dao.MapJobExecutionDaoorg.springframework.batch.core.repository.dao.MapStepExecutionDaoorg.springframework.batch.core.repository.dao.MapExecutionContextDaoorg.springframework.batch.item.data.AbstractNeo4jItemReaderorg.springframework.batch.item.file.transform.Alignmentorg.springframework.batch.item.xml.StaxUtilsorg.springframework.batch.core.launch.support.ScheduledJobParametersFactoryorg.springframework.batch.item.file.MultiResourceItemReader#getCurrentResource()org.springframework.batch.core.JobExecution#stop()
Suggested replacements can be found in the Javadoc of each deprecated API.
# SQLFire support deprecation
SQLFire has been in EOL (opens new window)since November 1st, 2014. This release deprecates the support of using SQLFire as a job repository and schedules it for removal in version 5.0.