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Spring Batch快速上手示例( bean注入和非注入方式

Spring Batch快速上手示例( bean注入和非注入方式

作者: 清蒸三文鱼_ | 来源:发表于2021-01-06 13:22 被阅读0次

    概述

    快速上手, 以最快的方式和配置运行和了解Spring Batch批处理; 通过bean注入的方式, 可以使用spring-boot-starter-batch进行相关bean的管理和配置

    但是这种方式不够灵活, 因为项目不一定在spring的环境中执行,所以需要另一种方式。结合源码不难发现Batch执行Job的核心代码和创建过程

    非Bean注入方式

    通过人工进行对象的创建

    Maven

    <dependency>
                <groupId>org.springframework.batch</groupId>
                <artifactId>spring-batch-core</artifactId>
                <version>4.3.1</version>
     </dependency>
    

    Code

    public class RunDemo {
    
        static class MyBatchConfigurer extends DefaultBatchConfigurer {
            @Override
            public void setDataSource(DataSource dataSource) {
            }
        }
    
        public static void main(String[] args) throws Exception {
            File dataFile = new File("data.json");
            if (!dataFile.exists()) {
                dataFile.createNewFile();
            }
            FileOutputStream os = new FileOutputStream(dataFile);
            os.write("[{\"city\":\"beijing\",\"name\":\"jaychou\"},".getBytes());
            os.write("{\"city\":\"beijing\",\"name\":\"jaychou2\"}]".getBytes());
            os.flush();
            os.close();
    
            MyBatchConfigurer context = new MyBatchConfigurer();
            context.initialize();
    
            JsonItemReader<Map> reader = new JsonItemReaderBuilder<Map>().name("reader")
                    .resource(new FileSystemResource(dataFile))
                    .jsonObjectReader(new JacksonJsonObjectReader<>(Map.class))
                    .saveState(true).build();
    
            FlatFileItemWriter<String> writer = new FlatFileItemWriterBuilder<String>().name("writer")
                    .resource(new FileSystemResource("target/output.txt")).lineAggregator(new PassThroughLineAggregator<>()).build();
    
            Step step = new StepBuilderFactory(context.getJobRepository(), context.getTransactionManager())
                    .get("step1").<Map, String>chunk(10).reader(reader).writer(writer)
                    .processor((ItemProcessor<Map, String>) (v) -> "__" + v.toString())
                    .build();
    
            Job job = new JobBuilderFactory(context.getJobRepository()).get("job").start(step).build();
            context.getJobLauncher().run(job, new JobParameters());
        }
    }
    

    Bean注入方式

    Maven

     <dependency>
          <groupId>org.springframework.boot</groupId>
          <artifactId>spring-boot-starter-batch</artifactId>
          <version>2.4.1</version>
      </dependency>
    

    Code

    SpringBatchApplication

    @SpringBootApplication(exclude = {DataSourceAutoConfiguration.class})
    public class SpringBatchApplication {
      public static void main(String[] args) {
        SpringApplication.run(SpringBatchApplication.class, args);
      }
    }
    
    

    RunDemo

    @Configuration
    @EnableBatchProcessing
    public class RunDemo {
        @Autowired
        private JobBuilderFactory jobBuilders;
        @Autowired
        private StepBuilderFactory stepBuilders;
    
        @Component
        static class MyBatchConfigurer extends DefaultBatchConfigurer {
            @Override
            public void setDataSource(DataSource dataSource) {
            }
        }
        @Bean
        public Job demoJob() throws Exception {
            File dataFile = new File("data.json");
            if (!dataFile.exists()) {
                dataFile.createNewFile();
            }
            FileOutputStream os = new FileOutputStream(dataFile);
            os.write("[{\"city\":\"beijing\",\"name\":\"jaychou\"},".getBytes());
            os.write("{\"city\":\"beijing\",\"name\":\"jaychou2\"}]".getBytes());
            os.flush();
            os.close();
    
            JsonItemReader<Map> reader = new JsonItemReaderBuilder<Map>().name("reader")
                    .resource(new FileSystemResource(dataFile))
                    .jsonObjectReader(new JacksonJsonObjectReader<>(Map.class))
                    .saveState(true).build();
    
            FlatFileItemWriter<String> writer = new FlatFileItemWriterBuilder<String>().name("writer")
                    .resource(new FileSystemResource("target/output.txt")).lineAggregator(new PassThroughLineAggregator<>()).build();
    
            Step step = stepBuilders.get("step1").<Map, String>chunk(10).reader(reader).writer(writer)
                    .processor((ItemProcessor<Map, String>) (v) -> "__" + v.toString())
                    .build();
    
            return jobBuilders.get("job").start(step).build();
        }
    }
    

    补充

    如果想要其他的输入和输出, 如KafkaItemReader,KafkaItemWriter, 则需要引入如下的依赖包

        <dependency>
          <groupId>org.springframework.batch</groupId>
          <artifactId>spring-batch-infrastructure</artifactId>
          <version>4.3.1</version>
        </dependency>
    
       <dependency>
          <groupId>org.apache.kafka</groupId>
          <artifactId>kafka_2.12</artifactId>
          <version>2.0.1</version>
        </dependency>
    

    demo运行结果, 会生成output.txt

    __{city=beijing, name=jaychou}
    __{city=beijing, name=jaychou2}
    

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