如何为spring批处理数据和业务数据分别配置java数据源？我应该做吗？

我的主要工作只是读取操作，而另一个则在

MyISAM引擎上执行一些写入操作，该引擎忽略事务，因此我不需要必要的事务支持。如何配置
Spring批处理
，使
JobRepository
拥有自己的数据源，与保存业务数据的数据源分开？初始的one数据源配置如下所示：

@Configuration
public class StandaloneInfrastructureConfiguration {

    @Autowired
    Environment env;

    @Bean
    public LocalContainerEntityManagerFactoryBean entityManagerFactory() {
      LocalContainerEntityManagerFactoryBean em = new LocalContainerEntityManagerFactoryBean();
      em.setDataSource(dataSource());
      em.setPackagesToScan(new String[] { "org.podcastpedia.batch.*" });

      JpaVendorAdapter vendorAdapter = new HibernateJpaVendorAdapter();
      em.setJpaVendorAdapter(vendorAdapter);
      em.setJpaProperties(additionalJpaProperties());

      return em;
    }

    Properties additionalJpaProperties() {
          Properties properties = new Properties();
          properties.setProperty("hibernate.hbm2ddl.auto", "none");
          properties.setProperty("hibernate.dialect", "org.hibernate.dialect.MySQL5Dialect");
          properties.setProperty("hibernate.show_sql", "true");

          return properties;
    }

    @Bean
    public DataSource dataSource(){

       return DataSourceBuilder.create()
                .url(env.getProperty("db.url"))
                .driverClassName(env.getProperty("db.driver"))
                .username(env.getProperty("db.username"))
                .password(env.getProperty("db.password"))
                .build();          
    }

    @Bean
    public PlatformTransactionManager transactionManager(EntityManagerFactory emf){
      JpaTransactionManager transactionManager = new JpaTransactionManager();
      transactionManager.setEntityManagerFactory(emf);

      return transactionManager;
    }
}

然后它被导入到
作业
的配置类中，
@EnableBatchProcessing
注释自动使用它。我最初的想法是尝试设置配置类来扩展
DefaultBatchConfigurer
，但后来我得到了一个

BeanCurrentlyIncremationException（org.springframework.beans.factory.BeanCurrentlyIncremationException:创建名为jobBuilders的bean时出错：请求的bean当前正在创建中：是否存在无法解决的循环引用？）

@配置
@启用批处理
@导入（{StandaloneInfrastructureConfiguration.class，NotifySubscribersServicesConfiguration.class}）
公共类NotifySubscribersJobConfiguration扩展了DefaultBatchConfigurer{
@自动连线
私人建筑工人工厂建筑工人；
@自动连线
私人StepBuilder工厂stepBuilders；
@自动连线
私有数据源；
@自动连线
环境环境；
@凌驾
@自动连线
public void setDataSource（javax.sql.DataSource数据源）{
super.setDataSource（batchDataSource（））；
}
专用数据源batchDataSource（）{
返回DataSourceBuilder.create（）
.url（env.getProperty（“batchdb.url”））
.driverClassName（env.getProperty（“batchdb.driver”））
.username（env.getProperty（“batchdb.username”））
.password（env.getProperty（“batchdb.password”））
.build（）；
} 
@豆子
public ItemReader notifySubscribersReader（）{
JdbcCursorItemReader=新的JdbcCursorItemReader（）；
String sql=“select*from users where is\u email\u subscriber not null”；
reader.setSql（sql）；
reader.setDataSource（数据源）；
setRowMapper（rowMapper（））；
返回读取器；
}
........
}   

任何想法都是非常受欢迎的。该项目可在GitHub-

非常感谢。
你已经试过类似的东西了吗

@Bean(name="batchDataSource")
public DataSource batchDataSource(){          
       return DataSourceBuilder.create()
                .url(env.getProperty("batchdb.url"))
                .driverClassName(env.getProperty("batchdb.driver"))
                .username(env.getProperty("batchdb.username"))
                .password(env.getProperty("batchdb.password"))
                .build();          
} 

然后用@Primary标记另一个数据源，并在批处理配置中使用@Qualifier来指定要对batchDataSource bean进行auotwire操作。
好的，这很奇怪，但它可以工作。将数据源移动到它自己的配置类工作得很好，并且可以自动连接

该示例是多数据源版本的：

数据源配置：

public class DataSourceConfiguration {

    @Value("classpath:schema-mysql.sql")
    private Resource schemaScript;

    @Bean
    @Primary
    public DataSource hsqldbDataSource() throws SQLException {
        final SimpleDriverDataSource dataSource = new SimpleDriverDataSource();
        dataSource.setDriver(new org.hsqldb.jdbcDriver());
        dataSource.setUrl("jdbc:hsqldb:mem:mydb");
        dataSource.setUsername("sa");
        dataSource.setPassword("");
        return dataSource;
    }

    @Bean
    public JdbcTemplate jdbcTemplate(final DataSource dataSource) {
        return new JdbcTemplate(dataSource);
    }

    @Bean
    public DataSource mysqlDataSource() throws SQLException {
        final SimpleDriverDataSource dataSource = new SimpleDriverDataSource();
        dataSource.setDriver(new com.mysql.jdbc.Driver());
        dataSource.setUrl("jdbc:mysql://localhost/spring_batch_example");
        dataSource.setUsername("test");
        dataSource.setPassword("test");
        DatabasePopulatorUtils.execute(databasePopulator(), dataSource);
        return dataSource;
    }

    @Bean
    public JdbcTemplate mysqlJdbcTemplate(@Qualifier("mysqlDataSource") final DataSource dataSource) {
        return new JdbcTemplate(dataSource);
    }

    private DatabasePopulator databasePopulator() {
        final ResourceDatabasePopulator populator = new ResourceDatabasePopulator();
        populator.addScript(schemaScript);
        return populator;
    }
}

@Configuration
@EnableBatchProcessing
@Import({ DataSourceConfiguration.class, MBeanExporterConfig.class })
public class BatchConfiguration {

    @Autowired
    private JobBuilderFactory jobs;

    @Autowired
    private StepBuilderFactory steps;

    @Bean
    public ItemReader<Person> reader() {
        final FlatFileItemReader<Person> reader = new FlatFileItemReader<Person>();
        reader.setResource(new ClassPathResource("sample-data.csv"));
        reader.setLineMapper(new DefaultLineMapper<Person>() {
            {
                setLineTokenizer(new DelimitedLineTokenizer() {
                    {
                        setNames(new String[] { "firstName", "lastName" });
                    }
                });
                setFieldSetMapper(new BeanWrapperFieldSetMapper<Person>() {
                    {
                        setTargetType(Person.class);
                    }
                });
            }
        });
        return reader;
    }

    @Bean
    public ItemProcessor<Person, Person> processor() {
        return new PersonItemProcessor();
    }

    @Bean
    public ItemWriter<Person> writer(@Qualifier("mysqlDataSource") final DataSource dataSource) {
        final JdbcBatchItemWriter<Person> writer = new JdbcBatchItemWriter<Person>();
        writer.setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider<Person>());
        writer.setSql("INSERT INTO people (first_name, last_name) VALUES (:firstName, :lastName)");
        writer.setDataSource(dataSource);
        return writer;
    }

    @Bean
    public Job importUserJob(final Step s1) {
        return jobs.get("importUserJob").incrementer(new RunIdIncrementer()).flow(s1).end().build();
    }

    @Bean
    public Step step1(final ItemReader<Person> reader,
            final ItemWriter<Person> writer, final ItemProcessor<Person, Person> processor) {
        return steps.get("step1")
                .<Person, Person> chunk(1)
                .reader(reader)
                .processor(processor)
                .writer(writer)
                .build();
    }
}

批量配置：

public class DataSourceConfiguration {

    @Value("classpath:schema-mysql.sql")
    private Resource schemaScript;

    @Bean
    @Primary
    public DataSource hsqldbDataSource() throws SQLException {
        final SimpleDriverDataSource dataSource = new SimpleDriverDataSource();
        dataSource.setDriver(new org.hsqldb.jdbcDriver());
        dataSource.setUrl("jdbc:hsqldb:mem:mydb");
        dataSource.setUsername("sa");
        dataSource.setPassword("");
        return dataSource;
    }

    @Bean
    public JdbcTemplate jdbcTemplate(final DataSource dataSource) {
        return new JdbcTemplate(dataSource);
    }

    @Bean
    public DataSource mysqlDataSource() throws SQLException {
        final SimpleDriverDataSource dataSource = new SimpleDriverDataSource();
        dataSource.setDriver(new com.mysql.jdbc.Driver());
        dataSource.setUrl("jdbc:mysql://localhost/spring_batch_example");
        dataSource.setUsername("test");
        dataSource.setPassword("test");
        DatabasePopulatorUtils.execute(databasePopulator(), dataSource);
        return dataSource;
    }

    @Bean
    public JdbcTemplate mysqlJdbcTemplate(@Qualifier("mysqlDataSource") final DataSource dataSource) {
        return new JdbcTemplate(dataSource);
    }

    private DatabasePopulator databasePopulator() {
        final ResourceDatabasePopulator populator = new ResourceDatabasePopulator();
        populator.addScript(schemaScript);
        return populator;
    }
}

@Configuration
@EnableBatchProcessing
@Import({ DataSourceConfiguration.class, MBeanExporterConfig.class })
public class BatchConfiguration {

    @Autowired
    private JobBuilderFactory jobs;

    @Autowired
    private StepBuilderFactory steps;

    @Bean
    public ItemReader<Person> reader() {
        final FlatFileItemReader<Person> reader = new FlatFileItemReader<Person>();
        reader.setResource(new ClassPathResource("sample-data.csv"));
        reader.setLineMapper(new DefaultLineMapper<Person>() {
            {
                setLineTokenizer(new DelimitedLineTokenizer() {
                    {
                        setNames(new String[] { "firstName", "lastName" });
                    }
                });
                setFieldSetMapper(new BeanWrapperFieldSetMapper<Person>() {
                    {
                        setTargetType(Person.class);
                    }
                });
            }
        });
        return reader;
    }

    @Bean
    public ItemProcessor<Person, Person> processor() {
        return new PersonItemProcessor();
    }

    @Bean
    public ItemWriter<Person> writer(@Qualifier("mysqlDataSource") final DataSource dataSource) {
        final JdbcBatchItemWriter<Person> writer = new JdbcBatchItemWriter<Person>();
        writer.setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider<Person>());
        writer.setSql("INSERT INTO people (first_name, last_name) VALUES (:firstName, :lastName)");
        writer.setDataSource(dataSource);
        return writer;
    }

    @Bean
    public Job importUserJob(final Step s1) {
        return jobs.get("importUserJob").incrementer(new RunIdIncrementer()).flow(s1).end().build();
    }

    @Bean
    public Step step1(final ItemReader<Person> reader,
            final ItemWriter<Person> writer, final ItemProcessor<Person, Person> processor) {
        return steps.get("step1")
                .<Person, Person> chunk(1)
                .reader(reader)
                .processor(processor)
                .writer(writer)
                .build();
    }
}

@配置
@启用批处理
@导入（{DataSourceConfiguration.class，MBeanExporterConfig.class}）
公共类批处理配置{
@自动连线
私人建筑工地；
@自动连线
私人StepBuilderFactorySteps；
@豆子
公共项目阅读器（）{
最终FlatFileItemReader=新FlatFileItemReader（）；
setResource（新类路径资源（“sample data.csv”）；
reader.setLineMapper（新的DefaultLineMapper（）{
{
setLineTokenizer（新的DelimitedLineTokenizer（）{
{
setNames（新字符串[]{“firstName”，“lastName”}）；
}
});
setFieldSetMapper（新的BeanRapperFieldSetMapper（）{
{
setTargetType（Person.class）；
}
});
}
});
返回读取器；
}
@豆子
公共项目处理器（）{
返回新的PersonItemProcessor（）；
}
@豆子
公共ItemWriter编写器（@Qualifier（“mysqlDataSource”）最终数据源数据源）{
最终JdbcBatchItemWriter编写器=新的JdbcBatchItemWriter（）；
writer.setItemSqlParameterSourceProvider（新的BeanPropertyItemSqlParameterSourceProvider（））；
setSql（“插入人（名字、姓氏）值（：firstName，：lastName）”；
writer.setDataSource（dataSource）；
返回作者；
}
@豆子
公共作业导入作业（最后一步s1）{
return jobs.get（“importUserJob”）.incrementer（new RunIdIncrementer（））.flow（s1.end（）.build（）；
}
@豆子
公共步骤步骤1（最终项目阅读器，
最终项目编写器、最终项目处理器）{
返回步骤。获取（“步骤1”）
.chunk（1）
.读卡器（读卡器）
.处理器（处理器）
.作者（作者）
.build（）；
}
}
我的数据源位于单独的配置类中。在批处理配置中，我们扩展DefaultBatchConfigurer并重写setDataSource方法，通过@Qualifier传入特定数据库以与SpringBatch一起使用。我无法使用构造函数版本使其工作，但setter方法对我有效

我的Reader、Processor和Writer都在它们自己的自包含类中，以及步骤

这是使用Spring Boot 1.1.8和Spring Batch 3.0.1注意：我们对使用Spring Boot 1.1.5的项目进行了不同的设置，但在较新的版本上不起同样的作用

package org.sample.config.jdbc;

import javax.sql.DataSource;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.env.Environment;

import com.atomikos.jdbc.AtomikosDataSourceBean;
import com.mysql.jdbc.jdbc2.optional.MysqlXADataSource;

/**
 * The Class DataSourceConfiguration.
 *
 */
@Configuration
public class DataSourceConfig {

    private final static Logger log = LoggerFactory.getLogger(DataSourceConfig.class);

    @Autowired private Environment env;

    /**
     * Siphon data source.
     *
     * @return the data source
     */
    @Bean(name = "mainDataSource")
    @Primary
    public DataSource mainDataSource() {

        final String user = this.env.getProperty("db.main.username");
        final String password = this.env.getProperty("db.main.password");
        final String url = this.env.getProperty("db.main.url");

        return this.getMysqlXADataSource(url, user, password);
    }

    /**
     * Batch data source.
     *
     * @return the data source
     */
    @Bean(name = "batchDataSource", initMethod = "init", destroyMethod = "close")
    public DataSource batchDataSource() {

        final String user = this.env.getProperty("db.batch.username");
        final String password = this.env.getProperty("db.batch.password");
        final String url = this.env.getProperty("db.batch.url");

        return this.getAtomikosDataSource("metaDataSource", this.getMysqlXADataSource(url, user, password));
    }

    /**
     * Gets the mysql xa data source.
     *
     * @param url the url
     * @param user the user
     * @param password the password
     * @return the mysql xa data source
     */
    private MysqlXADataSource getMysqlXADataSource(final String url, final String user, final String password) {

        final MysqlXADataSource mysql = new MysqlXADataSource();
        mysql.setUser(user);
        mysql.setPassword(password);
        mysql.setUrl(url);
        mysql.setPinGlobalTxToPhysicalConnection(true);

        return mysql;
    }

    /**
     * Gets the atomikos data source.
     *
     * @param resourceName the resource name
     * @param xaDataSource the xa data source
     * @return the atomikos data source
     */
    private AtomikosDataSourceBean getAtomikosDataSource(final String resourceName, final MysqlXADataSource xaDataSource) {

        final AtomikosDataSourceBean atomikos = new AtomikosDataSourceBean();
        atomikos.setUniqueResourceName(resourceName);
        atomikos.setXaDataSource(xaDataSource);
        atomikos.setMaxLifetime(3600);
        atomikos.setMinPoolSize(2);
        atomikos.setMaxPoolSize(10);

        return atomikos;
    }

}


package org.sample.settlement.batch;

import javax.sql.DataSource;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.batch.core.Job;
import org.springframework.batch.core.Step;
import org.springframework.batch.core.configuration.annotation.DefaultBatchConfigurer;
import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;
import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;
import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;
import org.springframework.batch.core.launch.support.RunIdIncrementer;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.transaction.PlatformTransactionManager;

/**
 * The Class BatchConfiguration.
 *
 */
@Configuration
@EnableBatchProcessing
public class BatchConfiguration extends DefaultBatchConfigurer {
    private final static Logger log = LoggerFactory.getLogger(BatchConfiguration.class);
    @Autowired private JobBuilderFactory jobs;
    @Autowired private StepBuilderFactory steps;
    @Autowired private PlatformTransactionManager transactionManager;
    @Autowired @Qualifier("processStep") private Step processStep;

    /**
     * Process payments job.
     *
     * @return the job
     */
    @Bean(name = "processJob")
    public Job processJob() {
        return this.jobs.get("processJob")
                    .incrementer(new RunIdIncrementer())
                    .start(processStep)
                    .build();
    }

    @Override
    @Autowired
    public void setDataSource(@Qualifier("batchDataSource") DataSource batchDataSource) {
        super.setDataSource(batchDataSource);
    }
}

假设您有两个数据源，一个用于spring批处理元数据，如作业详细信息[假设CONFIGDB]，另一个用于业务数据[假设AppDB]：

将CONFIGDB注入jobRepository，如下所示：

 <bean id="jobRepository"
    class="org.springframework.batch.core.repository.support.JobRepositoryFactoryBean">
    <property name="transactionManager" ref="transactionManager" />
    <property name="dataSource" ref="CONFIGDB" />
    <property name="databaseType" value="db2" />
    <property name="tablePrefix" value="CONFIGDB.BATCH_" />
  </bean>

}
根据：

在应用程序属性中，可以使用常规数据源属性：

app.datasource.first.type=com.zaxxer.hikari.HikariDataSource
app.datasource.first.maximum-pool-size=30

app.datasource.second.url=jdbc:mysql://localhost/test
app.datasource.second.username=dbuser
app.datasource.second.password=dbpass
app.datasource.second.max-total=30

正如冻结在两个数据源中所建议的那样：
@Bean
@Primary
@ConfigurationProperties("app.datasource.first")
public DataSourceProperties firstDataSourceProperties() {
    return new DataSourceProperties();
}

@Bean
@Primary
@ConfigurationProperties("app.datasource.first")
public DataSource firstDataSource() {
    return firstDataSourceProperties().initializeDataSourceBuilder().build();
}

@Bean
@ConfigurationProperties("app.datasource.second")
public DataSourceProperties secondDataSourceProperties() {
    return new DataSourceProperties();
}

@Bean
@ConfigurationProperties("app.datasource.second")
public DataSource secondDataSource() {
    return secondDataSourceProperties().initializeDataSourceBuilder().build();
}

app.datasource.first.type=com.zaxxer.hikari.HikariDataSource
app.datasource.first.maximum-pool-size=30

app.datasource.second.url=jdbc:mysql://localhost/test
app.datasource.second.username=dbuser
app.datasource.second.password=dbpass
app.datasource.second.max-total=30

# Sample configuraion using a H2 in-memory DB
domain.datasource.jdbcUrl=jdbc:h2:mem:domain-ds;DB_CLOSE_DELAY=-1;DB_CLOSE_ON_EXIT=FALSE
domain.datasource.username=sa
domain.datasource.password=
domain.datasource.driver=org.h2.Driver

batch.datasource.jdbcUrl=jdbc:h2:mem:batch-ds;DB_CLOSE_DELAY=-1;DB_CLOSE_ON_EXIT=FALSE
batch.datasource.username=sa
batch.datasource.password=
batch.datasource.driver=org.h2.Driver

/**
 * Qualifier annotation for a DataSource to be injected into Batch auto-configuration. Can
 * be used on a secondary data source, if there is another one marked as
 * {@link Primary @Primary}.
 *
 * @author Dmytro Nosan
 * @since 2.2.0
 */
@Target({ ElementType.FIELD, ElementType.METHOD, ElementType.PARAMETER, ElementType.TYPE, ElementType.ANNOTATION_TYPE })
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Qualifier
public @interface BatchDataSource {

}

@BatchDataSource
@Bean("batchDataSource")
public DataSource batchDataSource(@Qualifier("batchDataSourceProperties") DataSourceProperties dataSourceProperties) {
        return dataSourceProperties
                .initializeDataSourceBuilder()
                .type(HikariDataSource.class)
                .build();
}