【发布时间】:2015-11-20 11:24:36
【问题描述】:
我们在平面文件中有一些数据。例如
EmpCode,Salary,EmpName,...
100,1000,...,...
200,2000,...,...
200,2000,...,...
100,1000,...,...
300,3000,...,...
400,4000,...,...
我们想根据 EmpCode 汇总工资并写入数据库
Emp_Code Emp_Salary Updated_Time Updated_User
100 2000 ... ...
200 4000 ... ...
300 3000 ... ...
400 4000 ... ...
我已经按照 Spring Batch 编写了如下类
ItemReader - to read the employee data into a Employee object
EmployeeItemProcessor 示例:
public class EmployeeProcessor implements ItemProcessor<Employee, Employee> {
@Override
public Employee process(Employee employee) throws Exception {
employee.setUpdatedTime(new Date());
employee.setUpdatedUser("someuser");
return employee;
}
EmployeeItemWriter:
@Repository
public class EmployeeItemWriter implements ItemWriter<Employee> {
@Autowired
private SessionFactory sf;
@Override
public void write(List<? extends Employee> employeeList) throws Exception {
List<Employee> aggEmployeeList = aggregateEmpData(employeeList);
//write to db using session factory
}
private List<Employee> aggregateEmpData(List<? extends Employee> employeeList){
Map<String, Employee> map = new HashMap<String, Employee>();
for(Employee e: employeeList){
String empCode = e.getEmpCode();
if(map.containsKey(empCode)){
//get employee salary and add up
}else{
map.put(empCode,Employee);
}
}
return new ArrayList<Employee>(map.values());
}
}
XML 配置
...
<batch:job id="employeeJob">
<batch:step id="step1">
<batch:tasklet>
<batch:chunk reader="employeeItemReader"
writer="employeeItemWriter" processor="employeeItemProcessor"
commit-interval="100">
</batch:chunk>
</batch:tasklet>
</batch:step>
</batch:job>
...
它正在工作并服务于我的目的。不过,我有几个问题。
1)当我查看日志时,显示如下(commit-interval=100):
status=COMPLETED, exitStatus=COMPLETED, readCount=2652, filterCount=0, writeCount=2652 readSkipCount=0, writeSkipCount=0, processSkipCount=0, commitCount=27, rollbackCount=0
但聚合后,只有 2515 条记录写入数据库。 write count 是 2652,是不是因为到达 ItemWriter 的 item 数还是 2652?如何纠正?
2) 我们对列表进行了两次迭代。一次在 ItemProcessor 中,然后在 ItemWriter 中进行聚合。如果记录数较高,则可能是性能问题。有没有更好的方法来实现这一点?
【问题讨论】:
-
请把ItemReader发给你
-
嗨,ItemReader 就像任何其他 ItemReader 类一样。绝对没有多余的逻辑。
标签: spring spring-batch