ColumnRangePartitioner (Spring Batch 4.1.4.RELEASE API)

java.lang.Object
- org.springframework.batch.sample.common.ColumnRangePartitioner

All Implemented Interfaces:
Partitioner
```
public class ColumnRangePartitioner
extends java.lang.Object
implements Partitioner
```
Simple minded partitioner for a range of values of a column in a database table. Works best if the values are uniformly distributed (e.g. auto-generated primary key values).
Author:
Dave Syer

Constructor Summary
Constructors
Constructor Description
ColumnRangePartitioner()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`java.util.Map<java.lang.String,ExecutionContext>`	`partition(int gridSize)`	Partition a database table assuming that the data in the column specified are uniformly distributed.
`void`	`setColumn(java.lang.String column)`	The name of the column to partition.
`void`	`setDataSource(javax.sql.DataSource dataSource)`	The data source for connecting to the database.
`void`	`setTable(java.lang.String table)`	The name of the SQL table the data are in.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ColumnRangePartitioner
```
public ColumnRangePartitioner()
```
- Method Detail
  - setTable
```
public void setTable(java.lang.String table)
```
    The name of the SQL table the data are in.
    Parameters:
    table - the name of the table
  - setColumn
```
public void setColumn(java.lang.String column)
```
    The name of the column to partition.
    Parameters:
    column - the column name.
  - setDataSource
```
public void setDataSource(javax.sql.DataSource dataSource)
```
    The data source for connecting to the database.
    Parameters:
    dataSource - a DataSource
  - partition
```
public java.util.Map<java.lang.String,ExecutionContext> partition(int gridSize)
```
    Partition a database table assuming that the data in the column specified are uniformly distributed. The execution context values will have keys minValue and maxValue specifying the range of values to consider in each partition.
    Specified by:
    partition in interface Partitioner
    Parameters:
    gridSize - the size of the map to return
    Returns:
    a map from identifier to input parameters
    See Also:
    Partitioner.partition(int)