当list数据量过大时，分批处理数据的小示例

#### 方式一：自己手动实现
```
// 定义集合数据
List<Integer> list = Arrays.asList(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19);

int totalCount = list.size(); // 总记录数

int eachQueryNum = 4; // 每批查询记录数

// 计算页数
int pageNum = totalCount % eachQueryNum == 0 ? totalCount / eachQueryNum : (totalCount / eachQueryNum) + 1;

for (int i = 0; i < pageNum; i++) {

int start = i * eachQueryNum;
	
	int end = (i + 1) * eachQueryNum <= list.size() ? (i + 1) * eachQueryNum : list.size();
	
	List<Integer> listTemp = new ArrayList<>(list.subList(start, end));
	
	System.out.println(listTemp);
}

// 输出结果：
[1, 2, 3, 4]
[5, 6, 7, 8]
[9, 10, 11, 12]
[13, 14, 15, 16]
[17, 18, 19]
		
```

#### 方式二：引入Hutool工具包，通过工具类分批
```xml
<dependency>
    <groupId>cn.hutool</groupId>
    <artifactId>hutool-all</artifactId>
    <version>5.8.0.M2</version>
</dependency>
```
```
int eachQueryNum = 4; // 每批查询记录数
        
// 定义集合数据
List<Integer> list = Arrays.asList(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19);

// 调用ListUtil工具类的split方法实现分批
List<List<Integer>> splitList = ListUtil.split(list, eachQueryNum);
for (List<Integer> integers : splitList) {
	System.out.println(integers);
}

// 输出结果：
[1, 2, 3, 4]
[5, 6, 7, 8]
[9, 10, 11, 12]
[13, 14, 15, 16]
[17, 18, 19]
```
#### 方式三：引入commons-collections4工具包，通过工具类分批
```xml
<dependency>
	<groupId>org.apache.commons</groupId>
	<artifactId>commons-collections4</artifactId>
	<version>4.4</version>
</dependency>
```
```
int eachQueryNum = 4; // 每批查询记录数
        
// 定义集合数据
List<Integer> list = Arrays.asList(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19);

// 调用ListUtils工具类的partition方法实现分批
List<List<Integer>> partitionList = ListUtils.partition(list, eachQueryNum);
for (List<Integer> integers : partitionList) {
	System.out.println(integers);
}

// 输出结果：
[1, 2, 3, 4]
[5, 6, 7, 8]
[9, 10, 11, 12]
[13, 14, 15, 16]
[17, 18, 19]
```

#### 方式四：引入guava工具包，通过工具类分批
```xml
<dependency>
	<groupId>com.google.guava</groupId>
	<artifactId>guava</artifactId>
	<version>31.1-jre</version>
</dependency>
```
```
int eachQueryNum = 4; // 每批查询记录数
        
// 定义集合数据
List<Integer> list = Arrays.asList(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19);

// 调用Lists工具类的partition方法实现分批
List<List<Integer>> partitionList = Lists.partition(list, eachQueryNum);
for (List<Integer> integers : partitionList) {
	System.out.println(integers);
}

// 输出结果：
[1, 2, 3, 4]
[5, 6, 7, 8]
[9, 10, 11, 12]
[13, 14, 15, 16]
[17, 18, 19]
```