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Spring Batch - 轻量级批处理框架实践

Spring Batch - 轻量级批处理框架实践

作者: Anoyi | 来源:发表于2017-10-11 19:36 被阅读950次

    实践内容

    从 MariaDB 一张表内读 10 万条记录,经处理后写到 MongoDB 。

    Batch 任务模型

    具体实现

    1、新建 Spring Boot 应用,依赖如下:

            <!-- Web 应用 -->
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-web</artifactId>
                <exclusions>
                    <exclusion>
                        <groupId>org.springframework.boot</groupId>
                        <artifactId>spring-boot-starter-logging</artifactId>
                    </exclusion>
                    <exclusion>
                        <groupId>org.springframework.boot</groupId>
                        <artifactId>spring-boot-starter-tomcat</artifactId>
                    </exclusion>
                </exclusions>
            </dependency>
    
            <!-- Web 容器 undertow -->
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-undertow</artifactId>
            </dependency>
    
            <!-- 日志 Log4j2 -->
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-log4j2</artifactId>
            </dependency>
    
            <!-- MongoDB -->
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-data-mongodb</artifactId>
            </dependency>
    
            <!-- Brantch -->
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-batch</artifactId>
            </dependency>
    
            <!-- Mariadb 驱动 -->
            <dependency>
                <groupId>org.mariadb.jdbc</groupId>
                <artifactId>mariadb-java-client</artifactId>
                <version>2.0.2</version>
            </dependency>
    
            <!-- Lombok 代码简化 -->
            <dependency>
                <groupId>org.projectlombok</groupId>
                <artifactId>lombok</artifactId>
                <version>1.16.14</version>
            </dependency>
    

    2、创建一张表,并生成 10 万条数据

    DROP TABLE people IF EXISTS;
    
    CREATE TABLE people  (
        id BIGINT IDENTITY NOT NULL PRIMARY KEY,
        first_name VARCHAR(20),
        last_name VARCHAR(20)
    );
    

    3、创建 Person 类

    @Data
    public class Person {
        private Long id;
        private String lastName;
        private String firstName;
    }
    

    4、创建一个中间处理器 PersonItemProcessor

    import org.springframework.batch.item.ItemProcessor;
    
    @Log4j2
    public class PersonItemProcessor implements ItemProcessor<Person, Person> {
    
        @Override
        public Person process(final Person person) throws Exception {
            final String firstName = person.getFirstName().toUpperCase();
            final String lastName = person.getLastName().toUpperCase();
    
            final Person transformedPerson = new Person(firstName, lastName);
    
            log.info("Converting (" + person + ") into (" + transformedPerson + ")");
    
            return transformedPerson;
        }
    
    }
    

    5、创建 PersonMapper,用户数据库映射

    public class PersonMapper implements RowMapper {
    
        private static final String ID_COLUMN = "id";
        private static final String NICKNAME_COLUMN = "first_name";
        private static final String EMAIL_COLUMN = "last_name";
    
    
        @Override
        public Object mapRow(ResultSet resultSet, int i) throws SQLException {
            Person user = new Person();
            person.setId(resultSet.getLong(ID_COLUMN));
            person.setNickname(resultSet.getString(NICKNAME_COLUMN));
            person.setEmail(resultSet.getString(EMAIL_COLUMN));
            return person;
        }
    }
    

    6、创建任务完成的监听 JobCompletionNotificationListener

    @Log4j2
    @Component
    public class JobCompletionNotificationListener extends JobExecutionListenerSupport {
    
        @Override
        public void afterJob(JobExecution jobExecution) {
            if(jobExecution.getStatus() == BatchStatus.COMPLETED) {
                log.info("!!! JOB FINISHED! Time to verify the results");
            }
        }
    }
    

    7、构建批处理任务 BatchConfiguration

    @Configuration
    @EnableBatchProcessing
    public class BatchConfiguration {
    
        @Autowired
        public JobBuilderFactory jobBuilderFactory;
    
        @Autowired
        public StepBuilderFactory stepBuilderFactory;
    
        @Autowired
        public DataSource dataSource;
        
        @Autowired
        public MongoTemplate mongoTemplate;
    
        @Bean
        public JdbcCursorItemReader<Person> reader(){
            JdbcCursorItemReader<Person> itemReader = new JdbcCursorItemReader<Person>();
            itemReader.setDataSource(dataSource);
            itemReader.setSql("select id, nickname, email from people");
            itemReader.setRowMapper(new PersonMapper());
            return itemReader;
        }
    
        @Bean
        public PersonItemProcessor processor() {
            return new PersonItemProcessor();
        }
        
        @Bean
        MongoItemWriter<Person> writer(){
            MongoItemWriter<Person> itemWriter = new MongoItemWriter<Person>();
            itemWriter.setTemplate(mongoTemplate);
            itemWriter.setCollection("branch");
            return itemWriter;
        }
    
        @Bean
        public Step step() {
            return stepBuilderFactory.get("step")
                    .<Person, Person> chunk(10)
                    .reader(reader())
                    .processor(processor())
                    .writer(writer())
                    .build();
        }
    
        @Bean
        public Job importUserJob(JobCompletionNotificationListener listener) {
            return jobBuilderFactory.get("importUserJob")
                    .incrementer(new RunIdIncrementer())
                    .listener(listener)
                    .flow(step())
                    .end()
                    .build();
        }
    
    }
    

    任务处理结果

    0出错,耗时 2 分钟左右,测试机 Mac

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