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测试算法使用内存临时提交

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chendaofei
2025-04-03 11:41:51 +08:00
parent 8161c04dd4
commit 3b62feefd6
1 changed files with 18 additions and 1 deletions
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19
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java
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@@ -120,6 +120,23 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
@Override
public List<DataVDto> getRawData(LineCountEvaluateParam lineParam) {
Runtime runtime = Runtime.getRuntime();
// 获取 JVM 最大可用内存（以字节为单位）
long maxMemory = runtime.maxMemory();
// 获取 JVM 当前已分配的内存（以字节为单位）
long totalMemory = runtime.totalMemory();
// 获取 JVM 当前空闲内存（以字节为单位）
long freeMemory = runtime.freeMemory();
// 计算已使用的内存
long usedMemory = totalMemory - freeMemory;
System.out.println("最大可用内存: " + maxMemory / (1024 * 1024) + " MB");
System.out.println("当前已分配的内存: " + totalMemory / (1024 * 1024) + " MB");
System.out.println("当前空闲内存: " + freeMemory / (1024 * 1024) + " MB");
System.out.println("已使用的内存: " + usedMemory / (1024 * 1024) + " MB");
System.out.println("dataprocess第一次分析结束-----------------------------------------");
List<DataVDto> result = new ArrayList<>();
List<DataV> list = getMinuteDataV(lineParam);
list.forEach(item -> {
@@ -434,7 +451,7 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
System.out.println("当前已分配的内存: " + totalMemory / (1024 * 1024) + " MB");
System.out.println("当前空闲内存: " + freeMemory / (1024 * 1024) + " MB");
System.out.println("已使用的内存: " + usedMemory / (1024 * 1024) + " MB");
System.out.println("第二次分析结束-----------------------------------------");
System.out.println("dataprocess第二次分析结束-----------------------------------------");
if (CollUtil.isNotEmpty(list)) {
Map<String, List<DataV>> lineMap = list.stream().collect(Collectors.groupingBy(DataV::getLineId));