MultiResourcePartitioner (Spring Batch 4.1.4.RELEASE API)

java.lang.Object
- org.springframework.batch.core.partition.support.MultiResourcePartitioner

所有已实现的接口:
Partitioner
```
public class MultiResourcePartitioner
extends java.lang.Object
implements Partitioner
```
Implementation of Partitioner that locates multiple resources and associates their file names with execution context keys. Creates an ExecutionContext per resource, and labels them as {partition0, partition1, ..., partitionN}. The grid size is ignored.
从以下版本开始:
2.0
作者:
Dave Syer

构造器概要
构造器
构造器说明
MultiResourcePartitioner()

方法概要

所有方法实例方法具体方法
修饰符和类型	方法	说明
`java.util.Map<java.lang.String,ExecutionContext>`	`partition(int gridSize)`	Assign the filename of each of the injected resources to an `ExecutionContext`.
`void`	`setKeyName(java.lang.String keyName)`	The name of the key for the file name in each `ExecutionContext`.
`void`	`setResources(org.springframework.core.io.Resource[] resources)`	The resources to assign to each partition.

从类继承的方法 java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- 构造器详细资料
  - MultiResourcePartitioner
```
public MultiResourcePartitioner()
```
- 方法详细资料
  - setResources
```
public void setResources(org.springframework.core.io.Resource[] resources)
```
    The resources to assign to each partition. In Spring configuration you can use a pattern to select multiple resources.
    参数:
    resources - the resources to use
  - setKeyName
```
public void setKeyName(java.lang.String keyName)
```
    The name of the key for the file name in each ExecutionContext. Defaults to "fileName".
    参数:
    keyName - the value of the key
  - partition
```
public java.util.Map<java.lang.String,ExecutionContext> partition(int gridSize)
```
    Assign the filename of each of the injected resources to an ExecutionContext.
    指定者:
    partition 在接口中 Partitioner
    参数:
    gridSize - the size of the map to return
    返回:
    a map from identifier to input parameters
    另请参阅:
    Partitioner.partition(int)