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分享Spring Batch的介紹

零下一度

發布： 2017-06-17 11:52:31

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這篇文章主要為大家介紹了Spring Batch入門的相關資料，文中介紹的非常詳細，對大家具有一定的參考學習價值，需要的朋友們下面跟著小編一起來學習學習吧。

SpringBatch介紹：

SpringBatch 是一個大資料量的平行處理框架。通常用於資料的離線遷移，和資料處理，⽀持事務、並發、流程、監控、縱向和橫向擴展，提供統⼀的接⼝管理和任務管理;SpringBatch是SpringSource和埃森哲為了統一業界並行處理標準為廣大開發者提供方便開發的一套框架。

官方地址：github.com/spring-projects/spring-batch

SpringBatch 本身提供了重試，異常處理，跳過，重啟、任務處理統計，資源管理等特性，這些特性開發者看重他的主要原因;
#SpringBatch 是一個輕量級的批次框架;
SpringBatch 結構分層，業務與處理策略、結構分離;
#任務的運行的實例狀態，執行數據，參數都會落地到資料庫;

快速入門

pom.xml 加入

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

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建立BatchConfig(可以是其他類別名稱)

@Configuration
@EnableBatchProcessing
public class BatchConfig {
 // tag::readerwriterprocessor[]
 @Bean
 public FlatFileItemReader<Person> flatFileItemReader() {
  FlatFileItemReader<Person> reader = new FlatFileItemReader<>();
  reader.setResource(new ClassPathResource("sample-data.csv"));
  FixedLengthTokenizer fixedLengthTokenizer = new FixedLengthTokenizer();
  reader.setLineMapper(new DefaultLineMapper<Person>() {{
   setLineTokenizer(new DelimitedLineTokenizer() {{
    setNames(new String[]{"firstName", "lastName"});
   }});
   setFieldSetMapper(new BeanWrapperFieldSetMapper<Person>() {{
    setTargetType(Person.class);
   }});
  }});
  return reader;
 }
 @Bean
 public JdbcPagingItemReader<Person> jdbcPagingItemReader(DataSource dataSource) {
  JdbcPagingItemReader<Person> reader = new JdbcPagingItemReader<>();
  reader.setDataSource(dataSource);
  reader.setFetchSize(100);
  reader.setQueryProvider(new MySqlPagingQueryProvider() {{
   setSelectClause("SELECT person_id,first_name,last_name");
   setFromClause("from people");
   setWhereClause("last_name=:lastName");
   setSortKeys(new HashMap<String, Order>() {{
    put("person_id", Order.ASCENDING);
   }});
  }});
  reader.setParameterValues(new HashMap<String, Object>() {{
   put("lastName", "DOE");
  }});
  reader.setRowMapper(new BeanPropertyRowMapper<>(Person.class));
  return reader;
 }
 @Bean
 public JdbcBatchItemWriter<Person> jdbcBatchItemWriter(DataSource dataSource) {
  JdbcBatchItemWriter<Person> writer = new JdbcBatchItemWriter<>();
  writer.setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider<>());
  writer.setSql("INSERT INTO people (first_name, last_name) VALUES (:firstName, :lastName)");
  writer.setDataSource(dataSource);
  return writer;
 }
 /*@Bean
 public FlatFileItemWriter<Person> flatFileItemWriter(DataSource dataSource) {
  FlatFileItemWriter<Person> writer = new FlatFileItemWriter<>();
  writer.setAppendAllowed(true);
  writer.setEncoding("UTF-8");
//  writer.set(dataSource);
  return writer;
 }*/
 // end::readerwriterprocessor[]
 // tag::jobstep[]
 @Bean
 public Job importUserJob(JobBuilderFactory jobBuilderFactory, JobCompletionNotificationListener listener, Step step) {
  return jobBuilderFactory.get("importUserJob")
    .incrementer(new RunIdIncrementer())
    .listener(listener)
    .start(step)
    .build();
 }
 @Bean
 public Step step1(StepBuilderFactory stepBuilderFactory, PersonItemProcessor processor, ItemWriter jdbcBatchItemWriter, ItemReader flatFileItemReader) {
  /*CompositeItemProcessor compositeItemProcessor = new CompositeItemProcessor();
  compositeItemProcessor.setDelegates(Lists.newArrayList(processor, processor));*/
  return stepBuilderFactory.get("step1")
    .<Person, Person>chunk(10)
    .reader(flatFileItemReader)
    .processor(processor)
    .writer(jdbcBatchItemWriter)
    .build();
 }
 // end::jobstep[]
}

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#Spring Batch的分層架構