我几天来一直在努力解决这个问题。我正在尝试使用Java Streams创建Pivot功能。我只需要实施 SUM,COUNT,MAX,MIN和AVERAGE。对于输入,我给出了一个数据列索引,一个数据透视行索引数组和要计算的值。
catch是数据在List<列表<对象>>,其中Object为String,Integer或Double。但直到运行时我才知道。我必须将结果作为List<返回列表<对象>>
我遇到MAX / MIN问题(我假设AVERAGE与MAX和MIN类似)
为了在多个表值上进行数据透视,我创建了一个类来使用我的第二个groupingBy
这不会编译,我不知道要比较什么,在哪里将对象转换为int或者我甚至需要。我想用一个流来做这一切,但我不确定它是否可行。我做错了什么,或者我可以做不同的事情。提前谢谢。
package pivot.test;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.stream.Collectors;
public class PivotTest {
List<List<Object>> rows = new ArrayList<List<Object>>();
public PivotTest() throws Exception {
rows.add(Arrays.asList(new Object[]{ "East", "Boy", "Tee", 10, 12.00}));
rows.add(Arrays.asList(new Object[]{ "East", "Boy", "Golf", 15, 20.00}));
rows.add(Arrays.asList(new Object[]{ "East", "Girl", "Tee", 8, 14.00}));
rows.add(Arrays.asList(new Object[]{ "East", "Girl", "Golf", 20, 24.00}));
rows.add(Arrays.asList(new Object[]{ "West", "Boy", "Tee", 5, 12.00}));
rows.add(Arrays.asList(new Object[]{ "West", "Boy", "Golf", 12, 20.00}));
rows.add(Arrays.asList(new Object[]{ "West", "Girl", "Tee", 15, 14.00}));
rows.add(Arrays.asList(new Object[]{ "West", "Girl", "Golf", 10, 24.00}));
}
// Dynamic Max based upon Column, Value to sum, and an array of pivot rows
public void MaxTable(int colIdx, int valueIdx, int... rowIdx) {
Map<Object, Map<Object, Integer>> myList = newRows.stream().collect(
Collectors.groupingBy(r -> ((List<Object>) r).get(colIdx),
Collectors.groupingBy( r -> new PivotColumns(r, rowIdx),
Collectors.collectingAndThen( Collectors.maxBy(Comparator.comparingInt(???)),
r -> ((List<Object>) r).get(valueIdx)))));
System.out.println("Dynamic MAX PIVOT"); System.out.println(myList);
}
public static void main(String[] args) {
try {
PivotTest p = new PivotTest();
System.out.println("\n\nStreams PIVOT with index values inside a List\n");
p.MaxTable(0, 3, new int[] { 2 });
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
class PivotColumns {
ArrayList<Object> columns;
public PivotColumns(
List<Object> objs, int... pRows) {
columns = new ArrayList<Object>();
for (int i = 0; i < pRows.length; i++) {
columns.add(objs.get(pRows[i]));
}
}
public void addObject(Object obj) {
columns.add(obj);
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
result = prime * result + ((columns == null) ? 0 : columns.hashCode());
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (getClass() != obj.getClass())
return false;
PivotColumns other = (PivotColumns) obj;
if (columns == null) {
if (other.columns != null)
return false;
} else if (!columns.equals(other.columns))
return false;
return true;
}
public String toString() {
String s = "";
for (Object obj : columns) {
s += obj + ",";
}
return s.substring(0, s.lastIndexOf(','));
}
}
答案 0 :(得分:4)
由于已知所有可能的值(String
,Integer
,Double
)为Comparable
,因此您可以对Comparable
接口执行未经检查的强制转换。也不要忘记打开可选的包装。最后,如果我理解正确,结果应为Map<Object, Map<Object, Object>> myList
,而不是Map<Object, Map<Object, Integer>> myList
,因为您的列可能包含非整数值:
public void MaxTable(int colIdx, int valueIdx, int... rowIdx) {
Map<Object, Map<Object, Object>> myList = newRows.stream().collect(
Collectors.groupingBy(r -> r.get(colIdx),
Collectors.groupingBy( r -> new PivotColumns(r, rowIdx),
Collectors.collectingAndThen( Collectors.maxBy(
Comparator.comparing(r -> (Comparable<Object>)(((List<Object>) r).get(valueIdx)))),
r -> r.get().get(valueIdx)))));
System.out.println("Dynamic MAX PIVOT"); System.out.println(myList);
}
结果:
> p.MaxTable(0, 3, new int[] { 1 });
{West={Girl=15, Boy=12}, East={Girl=20, Boy=15}}
> p.MaxTable(0, 4, new int[] { 1 });
{West={Girl=24.0, Boy=20.0}, East={Girl=24.0, Boy=20.0}}
如您所见,您可以处理Integer
和Double
列。即使String
也可以处理(按字典顺序选择最大值)。
对于平均值,您可以假设您的列值是数字(Number
类,Integer
或Double
)并收集到Double
(整数的平均值可以是非整数):
public void AverageTable(int colIdx, int valueIdx, int... rowIdx) {
Map<Object, Map<Object, Double>> myList = newRows.stream().collect(
Collectors.groupingBy(r -> r.get(colIdx), Collectors
.groupingBy(r -> new PivotColumns(r, rowIdx),
Collectors.averagingDouble(r -> ((Number) (r
.get(valueIdx))).doubleValue()))));
System.out.println("Dynamic AVG PIVOT"); System.out.println(myList);
}
输出:
> p.AverageTable(0, 3, new int[] { 1 });
{West={Girl=12.5, Boy=8.5}, East={Girl=14.0, Boy=12.5}}
> p.AverageTable(0, 4, new int[] { 1 });
{West={Girl=19.0, Boy=16.0}, East={Girl=19.0, Boy=16.0}}