springBatch将文件中的数据输出到数据库

跟着视频做的一个小Demo

建表语句

CREATE table customer(
id BIGINT PRIMARY KEY,
firstName VARCHAR(50),
lastName VARCHAR(50),
birthday VARCHAR(50)

)

目录结构

Customer实体类

package com.practice.itemwriterdb;

public class Customer {
    private Long id;
    private String firstName;
    private String lastName;
    private String birthday;
    public long getId() {
        return id;
    }

    public void setId(long id) {
        this.id = id;
    }

    public String getFirstName() {
        return firstName;
    }

    public void setFirstName(String firstName) {
        this.firstName = firstName;
    }

    public String getLastName() {
        return lastName;
    }

    public void setLastName(String lastName) {
        this.lastName = lastName;
    }

    public String getBirthday() {
        return birthday;
    }

    public void setBirthday(String birthday) {
        this.birthday = birthday;
    }

    @Override
    public String toString() {
        return "Customer{" +
                "id=" + id +
                ", firstName='" + firstName + ''' +
                ", lastName='" + lastName + ''' +
                ", birthday='" + birthday + ''' +
                '}';
    }




}

DemoApplication

package com.practice.itemwriterdb;

import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
@EnableBatchProcessing
public class DemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(DemoApplication.class, args);
    }

}

FlatFileReaderConfig

package com.practice.itemwriterdb;

import org.springframework.batch.core.configuration.annotation.StepScope;
import org.springframework.batch.item.file.FlatFileItemReader;
import org.springframework.batch.item.file.mapping.DefaultLineMapper;
import org.springframework.batch.item.file.mapping.FieldSetMapper;
import org.springframework.batch.item.file.transform.DelimitedLineTokenizer;
import org.springframework.batch.item.file.transform.FieldSet;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.ClassPathResource;
import org.springframework.validation.BindException;

@Configuration
public class FlatFileReaderConfig {
    @Bean
    public FlatFileItemReader<Customer> flatFileReader(){
        FlatFileItemReader<Customer> reader = new FlatFileItemReader<Customer>();
        reader.setResource(new ClassPathResource("customers.txt"));
     //   reader.setLinesToSkip(1);

        //解析数据
        DelimitedLineTokenizer tokenizer = new DelimitedLineTokenizer();
        tokenizer.setNames(new String[]{"id","firstName","lastName","birthday"});

        DefaultLineMapper<Customer> mapper = new DefaultLineMapper<>();
        mapper.setLineTokenizer(tokenizer);
        mapper.setFieldSetMapper(new FieldSetMapper<Customer>() {
            @Override
            public Customer mapFieldSet(FieldSet fieldSet) throws BindException {
                Customer customer = new Customer();
                customer.setId(fieldSet.readLong("id"));
                customer.setFirstName(fieldSet.readString("firstName"));
                customer.setLastName(fieldSet.readString("lastName"));
                customer.setBirthday(fieldSet.readString("birthday"));

                return customer;
            }
        });
        mapper.afterPropertiesSet();
        reader.setLineMapper(mapper);
        return reader;
    }
}

ItemWriterDbConfig

package com.practice.itemwriterdb;

import org.springframework.batch.item.database.BeanPropertyItemSqlParameterSourceProvider;
import org.springframework.batch.item.database.JdbcBatchItemWriter;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import javax.sql.DataSource;

@Configuration
public class ItemWriterDbConfig {
    @Autowired
    private DataSource dataSource;
    @Bean
    public JdbcBatchItemWriter<Customer> itemWriterDb(){
        JdbcBatchItemWriter<Customer> writer = new JdbcBatchItemWriter<Customer>();
                writer.setDataSource(dataSource);
                writer.setSql("insert into customer(id,firstName,lastName,birthday) values "+
                "(:id,:firstName,:lastName,:birthday)");
                writer.setItemSqlParameterSourceProvider( new BeanPropertyItemSqlParameterSourceProvider<>());
                return writer;

    }
}

itemWriterDbDemo

package com.practice.itemwriterdb;

import org.springframework.batch.core.Job;
import org.springframework.batch.core.Step;
import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;
import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;
import org.springframework.batch.item.ItemReader;
import org.springframework.batch.item.ItemWriter;
import org.springframework.batch.item.file.FlatFileItemReader;
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;

@Configuration
public class itemWriterDbDemo {
    @Autowired
    private JobBuilderFactory jobBuilderFactory;

    @Autowired
    private StepBuilderFactory stepBuilderFactory;
    @Autowired
    @Qualifier("flatFileReader")
    ItemReader<Customer> flatFileItemReader;
    @Autowired
    @Qualifier("itemWriterDb")
    ItemWriter<? super Customer> itemWriterDb;
    @Bean
    public Job itemWriterDemoDbJob(){
        return jobBuilderFactory.get("itemWriterDemoDbJob").start(itemWriterDbDemoStep()).build();
    }

    @Bean
    public Step itemWriterDbDemoStep() {


        return stepBuilderFactory.get("itemWriterDbDemoStep").<Customer,Customer>chunk(10)
                .reader(flatFileItemReader)
                .writer(itemWriterDb)
                .build();
    }
}

customers

1,john,Barrett,1994-10-19 14:11:03
2,Mary,Barrett2,1999-10-19 14:11:03
3,lisa,Barrett3,1995-10-19 14:11:03
运行结果：