oracle同步到influxdb添加每小时执行批处理
This commit is contained in:
@@ -0,0 +1,71 @@
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package com.njcn.influx.bo.po;
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import com.baomidou.mybatisplus.annotation.TableField;
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import com.baomidou.mybatisplus.annotation.TableName;
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import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
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import lombok.AllArgsConstructor;
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import lombok.Data;
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import lombok.NoArgsConstructor;
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import java.time.LocalDateTime;
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/**
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*
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* Description:
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* Date: 2024/1/23 14:14【需求编号】
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*
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* @author clam
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* @version V1.0.0
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*/
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@Data
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@TableName(value = "JOB_DETAIL_HOURS_INFLUXDB")
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@NoArgsConstructor
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@AllArgsConstructor
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public class JobDetailHoursInfluxDB {
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/**
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* 指标表名
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*/
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@MppMultiId(value = "TABLE_NAME")
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private String tableName;
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/**
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* 执行日期
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*/
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@MppMultiId(value = "EXCUTE_DATE")
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private LocalDateTime excuteDate;
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/**
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* 记录数
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*/
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@TableField(value = "\"ROW_COUNT\"")
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private Integer rowCount;
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/**
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* 状态(0-执行中、1-成功、2-失败)
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*/
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@TableField(value = "\"STATE\"")
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private Integer state;
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@TableField(value = "UPDATE_TIME")
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private LocalDateTime updateTime;
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/**
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* 消耗时长
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*/
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@TableField(value = "DURATION")
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private Double duration;
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public JobDetailHoursInfluxDB(String tableName, LocalDateTime excuteDate, Integer state, Integer rowCount, LocalDateTime updateTime) {
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this.tableName = tableName;
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this.excuteDate = excuteDate;
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this.state = state;
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this.rowCount = rowCount;
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this.updateTime = updateTime;
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}
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public JobDetailHoursInfluxDB(String tableName, LocalDateTime excuteDate, Integer rowCount) {
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this.tableName = tableName;
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this.excuteDate = excuteDate;
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this.rowCount = rowCount;
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}
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}
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@@ -0,0 +1,15 @@
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package com.njcn.influx.mapper;
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import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
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import com.njcn.influx.bo.po.JobDetailHoursInfluxDB;
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/**
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*
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* Description:
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* Date: 2024/1/23 14:14【需求编号】
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*
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* @author clam
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* @version V1.0.0
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*/
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public interface JobDetailHoursInfluxDBMapper extends MppBaseMapper<JobDetailHoursInfluxDB> {
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}
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@@ -0,0 +1,18 @@
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package com.njcn.influx.service;
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import com.github.jeffreyning.mybatisplus.service.IMppService;
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import com.njcn.influx.bo.po.JobDetailHoursInfluxDB;
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import com.njcn.oracle.bo.po.JobDetailHours;
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/**
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*
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* Description:
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* Date: 2024/1/23 14:14【需求编号】
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*
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* @author clam
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* @version V1.0.0
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*/
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public interface JobDetailHoursInfluxDBService extends IMppService<JobDetailHoursInfluxDB> {
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}
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@@ -4,4 +4,6 @@ import com.njcn.oracle.bo.param.DataAsynParam;
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public interface OracleToInfluxDBService {
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void dataBacthSysc(DataAsynParam dataAsynParam);
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void hourseDataBacthSysc(DataAsynParam dataAsynParam);
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}
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@@ -0,0 +1,20 @@
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package com.njcn.influx.service.impl;
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import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
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import com.njcn.influx.bo.po.JobDetailHoursInfluxDB;
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import com.njcn.influx.mapper.JobDetailHoursInfluxDBMapper;
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import com.njcn.influx.service.JobDetailHoursInfluxDBService;
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import com.njcn.oracle.bo.po.JobDetailHours;
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import com.njcn.oracle.mybatis.mapper.JobDetailHoursMapper;
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import org.springframework.stereotype.Service;
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/**
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* Description:
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* Date: 2024/2/19 15:22【需求编号】
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*
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* @author clam
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* @version V1.0.0
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*/
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@Service
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public class JobDetailHoursInfluxDBServiceImpl extends MppServiceImpl<JobDetailHoursInfluxDBMapper, JobDetailHoursInfluxDB> implements JobDetailHoursInfluxDBService {
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}
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@@ -6,17 +6,21 @@ import cn.hutool.core.date.LocalDateTimeUtil;
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import cn.hutool.core.text.StrPool;
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import cn.hutool.extra.spring.SpringUtil;
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import com.njcn.influx.bo.param.TableEnum;
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import com.njcn.influx.bo.po.JobDetailHoursInfluxDB;
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import com.njcn.influx.bo.po.JobDetailInfluxDB;
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import com.njcn.influx.bo.po.JobHistoryLogInfluxdb;
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import com.njcn.influx.config.IdMappingCache;
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import com.njcn.influx.service.JobDetailHoursInfluxDBService;
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import com.njcn.influx.service.JobDetailInfluxDBService;
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import com.njcn.influx.service.JobHistoryLogInfluxdbService;
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import com.njcn.influx.service.OracleToInfluxDBService;
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import com.njcn.oracle.bo.param.DataAsynParam;
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import com.njcn.oracle.bo.param.MigrationParam;
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import com.njcn.oracle.bo.param.ServiceTypeEnum;
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import com.njcn.oracle.bo.po.JobDetailHours;
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import com.njcn.oracle.bo.po.JobHistoryLog;
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import com.njcn.oracle.mybatis.service.IReplenishMybatisService;
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import com.njcn.oracle.service.JobDetailHoursService;
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import com.njcn.oracle.util.LocalDateUtil;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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@@ -62,6 +66,8 @@ public class OracleToInfluxDBServiceImpl implements OracleToInfluxDBService {
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private final JobHistoryLogInfluxdbService jobHistoryLogInfluxdbService;
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private final JobDetailHoursInfluxDBService jobDetailHoursInfluxDBService;
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@Value("${business.slice:2}")
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private int slice;
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@@ -207,4 +213,131 @@ public class OracleToInfluxDBServiceImpl implements OracleToInfluxDBService {
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}
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});
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}
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//按小时来同步数据
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@Override
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public void hourseDataBacthSysc(DataAsynParam dataAsynParam) {
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Runtime runtime = Runtime.getRuntime();
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System.out.println("开始执行前总堆内存为:" + runtime.totalMemory() / (1024 * 1024) + " MB");
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System.out.println("开始执行前已用堆内存为:" + (runtime.totalMemory() - runtime.freeMemory()) / (1024 * 1024) + " MB");
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System.out.println("开始执行前空闲堆内存为:" + runtime.freeMemory() / (1024 * 1024) + " MB");
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//目前且作为2片,后续将该属性提取到配置文件中
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List<String> tableNames = dataAsynParam.getTableNames();
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//嵌套循环,先循环指标,再循环日期
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tableNames.stream().forEach(tableName -> {
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IReplenishMybatisService executor;
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try {
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executor = (IReplenishMybatisService) SpringUtil.getBean(Class.forName(PACKAGE_PREFIX + tableName + PACKAGE_SUFFIX));
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} catch (ClassNotFoundException e) {
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throw new RuntimeException(e);
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}
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//日志记录
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JobDetailHoursInfluxDB jobDetailInfluxDBHours = jobDetailHoursInfluxDBService.lambdaQuery().eq(JobDetailHoursInfluxDB::getTableName, tableName)
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.eq(JobDetailHoursInfluxDB::getExcuteDate, dataAsynParam.getStartDateTime())
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.one();
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if (Objects.nonNull(jobDetailInfluxDBHours) && (jobDetailInfluxDBHours.getState() == 1 || jobDetailInfluxDBHours.getState() == 0|| jobDetailInfluxDBHours.getState() == 2)) {
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//如果该指标当前时间段已执行或正在执行,直接跳出循环
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return;
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}
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if (Objects.isNull(jobDetailInfluxDBHours)) {
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jobDetailInfluxDBHours = new JobDetailHoursInfluxDB(tableName, dataAsynParam.getStartDateTime(), 0, 0, LocalDateTime.now());
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jobDetailHoursInfluxDBService.save(jobDetailInfluxDBHours);
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}
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//程序监听
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StopWatch stopWatch = new StopWatch();
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stopWatch.start();
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LocalDateTime startTime = dataAsynParam.getStartDateTime();
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LocalDateTime endTime = dataAsynParam.getStartDateTime();
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//查询该时区的数据,并准备入库
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MigrationParam migration = new MigrationParam();
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migration.setStartTime(startTime);
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migration.setEndTime(endTime);
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List list = executor.queryData(migration);
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//反射獲取linid的值并把linid的值替换成mysql对应的linid,并记录未匹配的lineid
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Iterator iterator = list.iterator();
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while (iterator.hasNext()) {
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try{
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Object obj = iterator.next();
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//获取
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Field id = obj.getClass().getDeclaredField("lineid");
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id.setAccessible(true); //暴力访问id
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String id1 = id.get(obj).toString();
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if (!IdMappingCache.IdMapping.containsKey(id1)){
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log.info(tableName+"表---Oralcet数据同步到InfluxDB未找mysql中到lineid匹配的lineid"+id1);
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iterator.remove();
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}else {
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id.set(obj, IdMappingCache.IdMapping.get(id1));
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}
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}catch (Exception e){
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e.printStackTrace();
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}
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}
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//采用弱引用接受,后续手动调用gc后,会清空该对象
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WeakReference<List> weakReferenceData = new WeakReference<>(list);
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int size = 0;
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if (CollectionUtil.isNotEmpty(weakReferenceData.get())) {
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size = weakReferenceData.get().size();
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}
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System.out.println(tableName + "查到" + size + "条数据后总堆内存为:" + runtime.totalMemory() / (1024 * 1024) + " MB");
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System.out.println(tableName + "查到" + size + "条数据后已用堆内存为:" + (runtime.totalMemory() - runtime.freeMemory()) / (1024 * 1024) + " MB");
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System.out.println(tableName + "查到" + size + "条数据后空闲堆内存为:" + runtime.freeMemory() / (1024 * 1024) + " MB");
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try {
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if (CollectionUtil.isNotEmpty(weakReferenceData.get())) {
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//执行目标库的数据处理
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Class<?> clazz;
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Class<?> clazz2;
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//获取Table表对应的influxdb对应的表的实体类调用oralceToInfluxDB方法及oralceToInfluxDB的入参clazz2
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try {
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clazz = Class.forName("com.njcn.influx.bo.po.InfluxDB" + tableName);
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clazz2 = Class.forName("com.njcn.oracle.bo.po." + tableName);
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} catch (ClassNotFoundException e) {
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throw new RuntimeException(e);
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}
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Method method;
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try {
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method = clazz.getDeclaredMethod("oralceToInfluxDB", clazz2);
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} catch (NoSuchMethodException e) {
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throw new RuntimeException(e);
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}
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method.setAccessible(true);
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Method finalMethod = method;
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List list1 = (List) weakReferenceData.get().stream().flatMap(po -> {
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try {
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Object invoke = finalMethod.invoke(null, po);
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Object invoke1 = invoke;
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//返回oracle转influx,flicker等表是1-1,还有1-4,这是判断返回是否是集合如何是集合继续扁平化
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return invoke1 instanceof List ? ((List<?>) invoke1).stream() : Stream.of(invoke1);
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} catch (Exception e) {
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throw new RuntimeException(e);
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}
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}).collect(Collectors.toList());
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//插入influxdb
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influxDBBaseService.insertBatchBySlice(tableName, list1, 10000);
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// size = list1.size();
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//最后一片时修改状态
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}
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//手动执行GC
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System.gc();
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stopWatch.stop();
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jobDetailInfluxDBHours.setRowCount(size);
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jobDetailInfluxDBHours.setState(1);
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jobDetailInfluxDBHours.setDuration(stopWatch.getTotalTimeSeconds());
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jobDetailHoursInfluxDBService.updateByMultiId(jobDetailInfluxDBHours);
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} catch (Exception exception) {
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exception.printStackTrace();
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jobDetailInfluxDBHours.setState(2);
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jobDetailInfluxDBHours.setUpdateTime(LocalDateTime.now());
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jobDetailHoursInfluxDBService.updateByMultiId(jobDetailInfluxDBHours);
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}
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System.out.println("执行后总堆内存为:" + runtime.totalMemory() / (1024 * 1024) + " MB");
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System.out.println("执行后已用堆内存为:" + (runtime.totalMemory() - runtime.freeMemory()) / (1024 * 1024) + " MB");
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System.out.println("执行后空闲堆内存为:" + runtime.freeMemory() / (1024 * 1024) + " MB");
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});
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}
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}
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@@ -11,6 +11,8 @@ import org.springframework.scheduling.annotation.Scheduled;
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import org.springframework.stereotype.Component;
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import java.time.LocalDate;
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import java.time.LocalDateTime;
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import java.time.temporal.ChronoUnit;
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/**
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* Description:
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@@ -36,4 +38,25 @@ public class OracleToInfluxDBJob {
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dataAsynParam.setExcuteType(2);
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oracleToInfluxDBService.dataBacthSysc(dataAsynParam);
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}
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//每小时03分钟时执行上一个小时的数据同步
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@Scheduled(cron="0 3 * * * ?")
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public void executeHours() {
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DataAsynParam dataAsynParam = new DataAsynParam();
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// 获取当前时间
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LocalDateTime now = LocalDateTime.now();
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// 减去一个小时
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LocalDateTime oneHourAgo = now.minusHours(1);
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// 将分钟和秒设置为0
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LocalDateTime result = oneHourAgo.truncatedTo(ChronoUnit.HOURS);
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// 加上59分钟59秒
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LocalDateTime modifiedResult = result.plusMinutes(59).plusSeconds(59);
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dataAsynParam.setStartDateTime(result);
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dataAsynParam.setEndDateTime(modifiedResult);
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dataAsynParam.setTableNames(TableEnum.getExecutableTypes());
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dataAsynParam.setExcuteType(2);
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oracleToInfluxDBService.hourseDataBacthSysc(dataAsynParam);
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}
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}
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@@ -7,14 +7,10 @@ server:
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spring:
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#influxDB内容配置
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influx:
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url: http://25.36.232.36:8086
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url: http://192.168.1.102:8086
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user: admin
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password: admin
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database: pqsbase_hbcs
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# url: http://192.168.1.81:18086
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# user: admin
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# password: 123456
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# database: pqsbase
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password: 123456
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database: pqsbase_sjzx
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mapper-location: com.njcn.influx.imapper
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application:
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name: oracle-influx
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@@ -71,20 +67,14 @@ spring:
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strict: false
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datasource:
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master:
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url: jdbc:oracle:thin:@10.122.32.73:11521/dwxb
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url: jdbc:oracle:thin:@192.168.1.101:1521:pqsbase
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username: pqsadmin
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password: pqsadmin_123
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# url: jdbc:oracle:thin:@192.168.1.51:1521:pqsbase
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# username: pqsadmin_hn
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# password: pqsadmin
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password: Pqsadmin123
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driver-class-name: oracle.jdbc.driver.OracleDriver
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target:
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url: jdbc:mysql://25.36.232.37:13306/pmsinfo?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=CTT
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url: jdbc:mysql://192.168.1.102:13306/pqsinfo?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=CTT
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username: root
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password: Huawei12#
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# url: jdbc:mysql://192.168.1.24:13306/pqsinfo_pq?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=CTT
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# username: root
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# password: njcnpqs
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password: njcnpqs
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driver-class-name: com.mysql.cj.jdbc.Driver
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#mybatis配置信息
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mybatis-plus:
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