钟来 / Luhui · 提交

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作者 钟来
提交 b9d9fbd27c84762681a73e00ee2290bb671408f4 1 个父辈 a93a142e

历史数据存储

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正在显示 18 个修改的文件 包含 1179 行增加 和 46 行删除
1 driverClassName=com.mysql.cj.jdbc.Driver 1 driverClassName=com.mysql.cj.jdbc.Driver
2 -url=jdbc:mysql://rm-wz9740un21f09iokuao.mysql.rds.aliyuncs.com:3306/liu_yu_le?useUnicode=true&characterEncoding=utf8&autoReconnect=true  
3 -username=luhui  
4 -password=Luhui586 2 +#url=jdbc:mysql://rm-wz9740un21f09iokuao.mysql.rds.aliyuncs.com:3306/liu_yu_le?useUnicode=true&characterEncoding=utf8&autoReconnect=true
  3 +#username=luhui
  4 +#password=Luhui586
  5 +url=jdbc:mysql://192.168.31.133:3306/ly_sensor_data_2020?useUnicode=true&characterEncoding=utf8&autoReconnect=true
  6 +username = luhui
  7 +password = Luhui586
5 #\u6700\u5927\u8FDE\u63A5\u6570\u91CF 8 #\u6700\u5927\u8FDE\u63A5\u6570\u91CF
6 maxActive=100 9 maxActive=100
7 #\u6700\u5927\u7A7A\u95F2\u8FDE\u63A5 10 #\u6700\u5927\u7A7A\u95F2\u8FDE\u63A5
@@ -57,5 +57,84 @@ @@ -57,5 +57,84 @@
57 <groupId>commons-pool</groupId> 57 <groupId>commons-pool</groupId>
58 <artifactId>commons-pool</artifactId> 58 <artifactId>commons-pool</artifactId>
59 </dependency> 59 </dependency>
  60 +
  61 + <dependency>
  62 + <groupId>com.zendesk</groupId>
  63 + <artifactId>mysql-binlog-connector-java</artifactId>
  64 + </dependency>
  65 + <dependency>
  66 + <groupId>com.influxdb</groupId>
  67 + <artifactId>influxdb-client-java</artifactId>
  68 + <exclusions>
  69 + <exclusion>
  70 + <groupId>com.squareup.okhttp3</groupId>
  71 + <artifactId>okhttp</artifactId>
  72 + </exclusion>
  73 + <exclusion>
  74 + <groupId>com.squareup.okio</groupId>
  75 + <artifactId>okio-jvm</artifactId>
  76 + </exclusion>
  77 + <exclusion>
  78 + <groupId>com.squareup.okio</groupId>
  79 + <artifactId>okio</artifactId>
  80 + </exclusion>
  81 + <exclusion>
  82 + <groupId>com.squareup.okio</groupId>
  83 + <artifactId>okio-parent</artifactId>
  84 + </exclusion>
  85 + </exclusions>
  86 + </dependency>
60 </dependencies> 87 </dependencies>
  88 +
  89 + <build>
  90 + <finalName>lh-data-file-service</finalName>
  91 + <plugins>
  92 + <plugin>
  93 + <groupId>org.apache.maven.plugins</groupId>
  94 + <artifactId>maven-jar-plugin</artifactId>
  95 + <version>2.4</version>
  96 + <configuration>
  97 + <archive>
  98 + <!--
  99 + 生成的jar中，不要包含pom.xml和pom.properties这两个文件
  100 + -->
  101 + <addMavenDescriptor>false</addMavenDescriptor>
  102 + <manifest>
  103 + <!--
  104 + 是否要把第三方jar放到manifest的classpath中
  105 + -->
  106 + <addClasspath>true</addClasspath>
  107 +
  108 + <!--
  109 + 生成的manifest中classpath的前缀，因为要把第三方jar放到lib目录下，所以classpath的前缀是lib/
  110 + -->
  111 + <classpathPrefix>lib/</classpathPrefix>
  112 + <mainClass>com.zhonglai.luhui.data.file.service.service.DataService</mainClass>
  113 + </manifest>
  114 + </archive>
  115 + </configuration>
  116 + </plugin>
  117 +
  118 + <!-- The configuration of maven-assembly-plugin -->
  119 + <plugin>
  120 + <groupId>org.apache.maven.plugins</groupId>
  121 + <artifactId>maven-assembly-plugin</artifactId>
  122 + <version>2.4</version>
  123 + <configuration>
  124 + <descriptors>
  125 + <descriptor>${project.parent.parent.basedir}/configs/package.xml</descriptor>
  126 + </descriptors>
  127 + </configuration>
  128 + <executions>
  129 + <execution>
  130 + <id>make-assembly</id>
  131 + <phase>package</phase>
  132 + <goals>
  133 + <goal>single</goal>
  134 + </goals>
  135 + </execution>
  136 + </executions>
  137 + </plugin>
  138 + </plugins>
  139 + </build>
61 </project> 140 </project>
@@ -2,6 +2,7 @@ package com.zhonglai.luhui.data.file.service.service; @@ -2,6 +2,7 @@ package com.zhonglai.luhui.data.file.service.service;
2 2
3 import cn.hutool.core.io.IORuntimeException; 3 import cn.hutool.core.io.IORuntimeException;
4 import cn.hutool.core.io.IoUtil; 4 import cn.hutool.core.io.IoUtil;
  5 +import cn.hutool.core.io.file.FileReader;
5 import cn.hutool.core.io.file.FileWriter; 6 import cn.hutool.core.io.file.FileWriter;
6 import cn.hutool.core.util.CharsetUtil; 7 import cn.hutool.core.util.CharsetUtil;
7 import com.ruoyi.common.utils.DateUtils; 8 import com.ruoyi.common.utils.DateUtils;
@@ -14,6 +15,7 @@ import org.apache.commons.dbutils.BasicRowProcessor; @@ -14,6 +15,7 @@ import org.apache.commons.dbutils.BasicRowProcessor;
14 import org.apache.commons.dbutils.GenerousBeanProcessor; 15 import org.apache.commons.dbutils.GenerousBeanProcessor;
15 import org.apache.commons.dbutils.handlers.BeanListHandler; 16 import org.apache.commons.dbutils.handlers.BeanListHandler;
16 import org.apache.commons.lang3.time.DateFormatUtils; 17 import org.apache.commons.lang3.time.DateFormatUtils;
  18 +import org.springframework.util.FileCopyUtils;
17 19
18 import java.io.BufferedReader; 20 import java.io.BufferedReader;
19 import java.io.BufferedWriter; 21 import java.io.BufferedWriter;
@@ -25,6 +27,7 @@ import java.util.List; @@ -25,6 +27,7 @@ import java.util.List;
25 import java.util.Map; 27 import java.util.Map;
26 import java.util.concurrent.TimeUnit; 28 import java.util.concurrent.TimeUnit;
27 29
  30 +
28 /** 31 /**
29 * 数据服务 32 * 数据服务
30 */ 33 */
@@ -40,46 +43,67 @@ public class DataService { @@ -40,46 +43,67 @@ public class DataService {
40 String yea = day.substring(0,4); 43 String yea = day.substring(0,4);
41 44
42 String tableName = "`ly_sensor_data_"+yea+"`.`device_sensor_data_"+day+"`"; 45 String tableName = "`ly_sensor_data_"+yea+"`.`device_sensor_data_"+day+"`";
43 - List<DeviceSensorData> ct = baseDao.findBysql(DeviceSensorData.class,"SELECT device_info_id,data_type FROM "+tableName+" GROUP BY device_info_id,data_type");  
44 - if(null != ct && ct.size() != 0) 46 +
  47 + List<Map<String, Object>> list = baseDao.findBysql("SELECT COUNT(*) ct FROM "+tableName);
  48 + if(null != list && list.size() !=0 )
  49 + {
  50 + long ct = (long) list.get(0).get("ct");
  51 +
  52 + long wancheng = 1;
  53 +
  54 + long jd = 0;
  55 +
  56 + int pagesize = 100000;
  57 + int pageNo = 1;
  58 + System.out.println(tableName);
  59 + List<DeviceSensorData> deviceSensorDataList = getDeviceSensorDataList(tableName,pagesize,pageNo++);
  60 + while (null != deviceSensorDataList && deviceSensorDataList.size() != 0 )
45 { 61 {
46 - for (DeviceSensorData deviceSensorData:ct) 62 + for (DeviceSensorData deviceSensorData:deviceSensorDataList)
47 { 63 {
48 - ScheduledUtil.scheduler.schedule(() -> {  
49 - String imei = deviceSensorData.getDevice_info_id().split("_")[0];  
50 - String deviceInfoId = deviceSensorData.getDevice_info_id();  
51 - String dataType = deviceSensorData.getData_type();  
52 - String deviceType = FileUtil.deviceTypeMap.get(deviceSensorData.getDevice_info_id().split("_")[0]); 64 + String baiduPath = FileUtil.createBaiduWangPanPat(yea,null==deviceSensorData.getDevice_model()?"device_model":deviceSensorData.getDevice_model(),deviceSensorData.getDevice_info_id().split("_")[0],deviceSensorData.getDevice_info_id(),deviceSensorData.getData_type());
  65 + File file = new File(FileUtil.tempFilePath+baiduPath);
  66 + saveDataFile(deviceSensorData,file);
53 67
54 - List<DeviceSensorData> device_data_type_list = baseDao.findBysql(DeviceSensorData.class,"SELECT `creat_time`,`data_value` FROM "+tableName+" where device_info_id='"+deviceSensorData.getDevice_info_id()+"' and data_type='"+deviceSensorData.getData_type()+"'");  
55 - Statistics statistics = map.get(Integer.parseInt(yea));  
56 - if(null != device_data_type_list && device_data_type_list.size() != 0 ) 68 + long dqjd = (wancheng++*100)/ct;
  69 + if(dqjd>jd)
57 { 70 {
58 - saveDataFile(device_data_type_list,imei,deviceInfoId,dataType,deviceType,yea,day);  
59 - map.put(Integer.parseInt(yea),statistics.add()); 71 + jd = dqjd;
60 } 72 }
61 73
62 - System.out.println(yea+"年完成进度："+statistics.getProgress());  
63 - },0, TimeUnit.SECONDS); 74 + System.out.print("\r"+"完成进度："+jd+"%");
  75 + for (int i=0;i<jd;i++)
  76 + {
  77 + System.out.print("#");
  78 + }
  79 + System.out.print("#");
  80 + }
  81 + deviceSensorDataList = getDeviceSensorDataList(tableName,pagesize,pageNo++);
  82 + }
  83 + System.out.println("完成");
64 84
65 } 85 }
  86 +
66 } 87 }
67 88
  89 + private List<DeviceSensorData> getDeviceSensorDataList(String tableName,int pagesize,int pageNo)
  90 + {
  91 + List<DeviceSensorData> device_data_list = baseDao.findBysql(DeviceSensorData.class,"SELECT * FROM "+tableName+" limit "+((pageNo-1)*pagesize)+","+pagesize);
  92 + return device_data_list;
68 } 93 }
69 94
70 - private void saveDataFile(List<DeviceSensorData> device_data_type_list, String imei,String deviceInfoId,String dataType, String deviceType,String yea,String day) 95 +
  96 +
  97 + private void saveDataFile(DeviceSensorData deviceSensorData,File file)
71 { 98 {
72 - String baiduPath = FileUtil.createBaiduWangPanPat(yea,null==deviceType?"device_model":deviceType,imei,deviceInfoId,dataType+"+"+day);  
73 - File file = new File(FileUtil.tempFilePath+baiduPath);  
74 99
75 BufferedWriter bufferedWriter = null; 100 BufferedWriter bufferedWriter = null;
76 101
77 try { 102 try {
78 bufferedWriter = FileWriter.create(file, CharsetUtil.CHARSET_UTF_8).getWriter(true); 103 bufferedWriter = FileWriter.create(file, CharsetUtil.CHARSET_UTF_8).getWriter(true);
  104 +
79 if (null != bufferedWriter) 105 if (null != bufferedWriter)
80 { 106 {
81 - for (DeviceSensorData deviceSensorData:device_data_type_list)  
82 - {  
83 StringBuffer line = new StringBuffer(); 107 StringBuffer line = new StringBuffer();
84 108
85 line.append(deviceSensorData.getCreat_time()); 109 line.append(deviceSensorData.getCreat_time());
@@ -89,7 +113,7 @@ public class DataService { @@ -89,7 +113,7 @@ public class DataService {
89 //默认换行符 113 //默认换行符
90 bufferedWriter.write(FileUtil.CRLF); 114 bufferedWriter.write(FileUtil.CRLF);
91 bufferedWriter.flush(); 115 bufferedWriter.flush();
92 - } 116 +
93 } 117 }
94 118
95 } catch (IOException e) { 119 } catch (IOException e) {
@@ -99,33 +123,67 @@ public class DataService { @@ -99,33 +123,67 @@ public class DataService {
99 } 123 }
100 } 124 }
101 125
102 - private static Map<Integer, Statistics> map = new HashMap<>();  
103 -  
104 - public static void main(String[] args) {  
105 - FileUtil.initDeviceType();  
106 - DataService dataService = new DataService(); 126 + public void transformDataByDay(String dataday,int endyear)
  127 + {
107 Calendar calendar = Calendar.getInstance(); 128 Calendar calendar = Calendar.getInstance();
108 - int year = 2020;  
109 - while (year<2024) 129 +
  130 + int startyear = Integer.parseInt(dataday.substring(0,4));
  131 + int month = Calendar.JANUARY;
  132 + if(dataday.length()>=6)
110 { 133 {
111 - calendar.set(year,Calendar.JANUARY,1);  
112 - if (!map.containsKey(year)) 134 + month = Integer.parseInt(dataday.substring(4,6))-1;
  135 + }
  136 + int date = 1;
  137 + if(dataday.length()>=8)
  138 + {
  139 + date = Integer.parseInt(dataday.substring(6,8));
  140 + }
  141 + while (startyear<endyear)
  142 + {
  143 + calendar.set(startyear,month,date);
  144 + if (!map.containsKey(startyear))
113 { 145 {
114 Statistics statistics = new Statistics(); 146 Statistics statistics = new Statistics();
115 statistics.setTotal(calendar.getActualMaximum(Calendar.DAY_OF_YEAR)); 147 statistics.setTotal(calendar.getActualMaximum(Calendar.DAY_OF_YEAR));
116 statistics.setFinished(0); 148 statistics.setFinished(0);
117 - map.put(year,statistics); 149 + map.put(startyear,statistics);
118 } 150 }
119 - while (calendar.get(Calendar.YEAR)==year) 151 + while (calendar.get(Calendar.YEAR)==startyear)
120 { 152 {
121 String day = DateUtils.parseDateToStr("yyyyMMdd",calendar.getTime()); 153 String day = DateUtils.parseDateToStr("yyyyMMdd",calendar.getTime());
122 - dataService.saveOneDayData(day);  
123 -// ScheduledUtil.scheduler.schedule(() ->,0,TimeUnit.SECONDS); 154 + saveOneDayData(day);
124 calendar.add(Calendar.DAY_OF_MONTH, 1); 155 calendar.add(Calendar.DAY_OF_MONTH, 1);
125 } 156 }
126 - year++; 157 + startyear++;
  158 + date = 1;
  159 + month = Calendar.JANUARY;
  160 + }
  161 +
  162 + }
  163 +
  164 + public void saveerr()
  165 + {
  166 + File file = new File(FileUtil.tempFilePath+"/errtable.txt");
  167 + File copyfile = new File(FileUtil.tempFilePath+"/errtable1.txt");
  168 + try {
  169 + FileCopyUtils.copy(file,copyfile);
  170 + } catch (IOException e) {
  171 + throw new RuntimeException(e);
127 } 172 }
  173 + file.delete();
128 174
  175 + List<String> list= FileReader.create(copyfile).readLines();
  176 + for (String tablename:list)
  177 + {
  178 + String day = tablename.substring(tablename.lastIndexOf("_")+1,tablename.lastIndexOf("`"));
  179 + saveOneDayData(day);
  180 + }
  181 + }
  182 +
  183 + private static Map<Integer, Statistics> map = new HashMap<>();
129 184
  185 + public static void main(String[] args) {
  186 + DataService dataService = new DataService();
  187 + dataService.transformDataByDay("20230117",2024);
130 } 188 }
131 } 189 }
  1 +package com.zhonglai.luhui.data.file.service.service;
  2 +
  3 +import java.text.ParseException;
  4 +import java.text.SimpleDateFormat;
  5 +import java.time.Instant;
  6 +import java.time.LocalDateTime;
  7 +import java.time.OffsetDateTime;
  8 +import java.time.ZoneOffset;
  9 +import java.time.format.DateTimeFormatter;
  10 +import java.util.*;
  11 +import java.util.regex.Matcher;
  12 +import java.util.regex.Pattern;
  13 +
  14 +import com.influxdb.client.InfluxDBClient;
  15 +import com.influxdb.client.InfluxDBClientFactory;
  16 +import com.influxdb.client.QueryApi;
  17 +import com.influxdb.client.WriteApiBlocking;
  18 +import com.influxdb.client.domain.Bucket;
  19 +import com.influxdb.client.domain.DeletePredicateRequest;
  20 +import com.influxdb.client.domain.Query;
  21 +import com.influxdb.client.domain.WritePrecision;
  22 +import com.influxdb.client.write.Point;
  23 +import com.influxdb.query.FluxRecord;
  24 +import com.influxdb.query.FluxTable;
  25 +import com.ruoyi.common.utils.DateUtils;
  26 +import com.ruoyi.common.utils.GsonConstructor;
  27 +import com.zhonglai.dao.BaseDao;
  28 +import com.zhonglai.luhui.data.file.service.dto.DeviceSensorData;
  29 +import com.zhonglai.luhui.data.file.service.util.InfluxDBFluxExpression;
  30 +import org.slf4j.Logger;
  31 +import org.slf4j.LoggerFactory;
  32 +
  33 +public class InfluxDB2Service {
  34 +
  35 + private final Logger logger = LoggerFactory.getLogger(this.getClass());
  36 +
  37 + private static BaseDao baseDao = new BaseDao(new DataDBFactoryImp());
  38 +
  39 + private static final String token = "YjJgRuCDnypQV4pHlzoixvdoiv237ybVvZ8zzOBfLdbXPbzmYYRi2uWGzXONqqLllhVq3wm03lOF2pl0e3uQHQ==";
  40 + private static final String orgID = "dfed6796541746a2";
  41 + private static final String org = "luhui";
  42 + private static final String url = "http://192.168.31.133:8086";
  43 +
  44 + private Map<String,String> bucketMap= new HashMap<>();
  45 +
  46 + {
  47 + InfluxDBClient influxDBClient = connect();
  48 + List<Bucket> list = influxDBClient.getBucketsApi().findBucketsByOrgName(org);
  49 + close(influxDBClient);
  50 + if(null != list && list.size() != 0)
  51 + {
  52 + for (Bucket bucket:list)
  53 + {
  54 + bucketMap.put(bucket.getName(),bucket.getId());
  55 + }
  56 + }
  57 + }
  58 +
  59 + /**
  60 + * 建立连接
  61 + * @return
  62 + */
  63 + private InfluxDBClient connect()
  64 + {
  65 + return connect(null);
  66 + }
  67 +
  68 + /**
  69 + * 建立连接
  70 + * @return
  71 + */
  72 + private InfluxDBClient connect(Integer writeTimeOut )
  73 + {
  74 + String connectUrl = url;
  75 + if(null != writeTimeOut)
  76 + {
  77 + connectUrl = url + "?writeTimeout="+writeTimeOut;
  78 + }
  79 + InfluxDBClient client = InfluxDBClientFactory.create(connectUrl, token.toCharArray());
  80 +
  81 + return client;
  82 + }
  83 +
  84 + /**
  85 + * 关闭连接
  86 + * @param client
  87 + */
  88 + private void close(InfluxDBClient client)
  89 + {
  90 + if(null != client)
  91 + {
  92 + client.close();
  93 + }
  94 +
  95 + }
  96 +
  97 + /**
  98 + * 检测存储桶是否存在
  99 + * @param bucketName
  100 + * @return
  101 + */
  102 + private boolean checkAndCreateBucket( String bucketName) {
  103 + if (null != bucketMap.get(bucketName) && bucketMap.containsKey(bucketName))
  104 + {
  105 + return true;
  106 + }
  107 + InfluxDBClient client = connect();
  108 + Bucket buckets = client.getBucketsApi().findBucketByName(bucketName);
  109 + if (null == buckets) {
  110 + // 没有设置任何保留策略，所以这个bucket的数据将被永久保留
  111 + buckets = client.getBucketsApi().createBucket(bucketName,orgID);
  112 +
  113 + logger.info("Bucket 创建成功: " + buckets.getName());
  114 + }
  115 + close(client);
  116 + bucketMap.put(bucketName,buckets.getId());
  117 + return true;
  118 + }
  119 +
  120 + private Point deviceSensorDataToPoint( DeviceSensorData deviceSensorData)
  121 + {
  122 + String[] separationstr = separationDeviceInfoId(deviceSensorData.getDevice_info_id());
  123 +
  124 + Point point = Point.measurement(separationstr[0])
  125 + .addTag("sn",separationstr[1])
  126 + .addTag("type",deviceSensorData.getData_type())
  127 + .time(deviceSensorData.getCreat_time(),WritePrecision.S)
  128 + ;
  129 + if(isInteger(deviceSensorData.getData_value()))
  130 + {
  131 + point.addField("value",Double.parseDouble(deviceSensorData.getData_value()));
  132 + }else if(isDecimal(deviceSensorData.getData_value()))
  133 + {
  134 + point.addField("value",Double.parseDouble(deviceSensorData.getData_value()));
  135 + }
  136 + else {
  137 + point .addField("value",deviceSensorData.getData_value());
  138 + }
  139 +
  140 + return point;
  141 + }
  142 +
  143 + private String[] separationDeviceInfoId(String deviceInfoId)
  144 + {
  145 + int i = deviceInfoId.indexOf("_");
  146 +
  147 + String measurementName = "";
  148 + String baseTag = "";
  149 + if(i>0)
  150 + {
  151 + measurementName = deviceInfoId.substring(0,i);
  152 + baseTag = deviceInfoId.substring(i+1,deviceInfoId.length());
  153 + }else {
  154 + measurementName = deviceInfoId;
  155 + }
  156 +
  157 + return new String[]{measurementName,baseTag};
  158 + }
  159 +
  160 + public static boolean isInteger(String input) {
  161 + Pattern pattern = Pattern.compile("^[-+]?\\d+$");
  162 + Matcher matcher = pattern.matcher(input);
  163 + return matcher.matches();
  164 + }
  165 +
  166 + public static boolean isDecimal(String input) {
  167 + Pattern pattern = Pattern.compile("^[-+]?\\d+\\.\\d+$");
  168 + Matcher matcher = pattern.matcher(input);
  169 + return matcher.matches();
  170 + }
  171 +
  172 + public void writeData( String bucket,List<DeviceSensorData> dataList)
  173 + {
  174 +
  175 + if(null == dataList && dataList.size()==0)
  176 + {
  177 + return ;
  178 + }
  179 + InfluxDBClient influxDBClient = connect(60000);
  180 + WriteApiBlocking writeApi = influxDBClient.getWriteApiBlocking();
  181 +
  182 + List<Point> saveList = new ArrayList<>();
  183 + for (DeviceSensorData deviceSensorData:dataList)
  184 + {
  185 + Point data = deviceSensorDataToPoint(deviceSensorData);
  186 + saveList.add(data);
  187 + }
  188 + writeApi.writePoints(bucket, orgID, saveList);
  189 + close(influxDBClient);
  190 + }
  191 +
  192 + private void mysqlToInfluxDB(String databaseName, String tableName)
  193 + {
  194 + logger.info("开始时间："+ LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")));
  195 +
  196 + long time = System.currentTimeMillis();
  197 + List<Map<String, Object>> device_modellist = baseDao.findBysql("SELECT DISTINCT device_model FROM "+databaseName+"."+tableName);
  198 + logger.info("查询设备类型用时："+(System.currentTimeMillis()-time)/1000+"s");
  199 +
  200 + if(null != device_modellist && device_modellist.size() != 0)
  201 + {
  202 + for (Map<String, Object> map:device_modellist)
  203 + {
  204 + String device_model = map.get("device_model")+"";
  205 + checkAndCreateBucket(device_model);
  206 +
  207 + String sql = "select * from "+databaseName+"."+tableName +" where device_model='"+device_model+"'";
  208 +
  209 + int pageNo = 1;
  210 + int pageSize = 10000;
  211 + time = System.currentTimeMillis();
  212 + List<DeviceSensorData> list = baseDao.findBysql(DeviceSensorData.class,sql+getlimit(pageNo++,pageSize));
  213 + writeData(device_model,list);
  214 + logger.info("处理第"+(pageNo-1)+"页时间用时："+(System.currentTimeMillis()-time)/1000+"s");
  215 + while (null != list && list.size()>0)
  216 + {
  217 + time = System.currentTimeMillis();
  218 + list = baseDao.findBysql(DeviceSensorData.class,sql+getlimit(pageNo++,pageSize));
  219 + writeData(device_model,list);
  220 + logger.info("处理第"+(pageNo-1)+"页时间用时："+(System.currentTimeMillis()-time)/1000+"s");
  221 + }
  222 + }
  223 + }
  224 + logger.info("结束时间："+ LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")));
  225 + }
  226 +
  227 + public void synchronousMysqlToInfluxDBByTime(String time)
  228 + {
  229 +
  230 + Calendar calendar = Calendar.getInstance();
  231 + SimpleDateFormat simpleDateFormat = new SimpleDateFormat( "yyyyMMdd");
  232 +
  233 + try {
  234 + calendar.setTime(simpleDateFormat.parse(time));
  235 + } catch (ParseException e) {
  236 + throw new RuntimeException(e);
  237 + }
  238 +
  239 + while (System.currentTimeMillis()-calendar.getTime().getTime()>=86400000) //一天前
  240 + {
  241 + Integer yea = calendar.get(Calendar.YEAR);
  242 + String day = simpleDateFormat.format(calendar.getTime());
  243 +
  244 + String databaseName = "`ly_sensor_data_"+yea+"`";
  245 + String tableName = "`device_sensor_data_"+day+"`";
  246 +
  247 + logger.info(databaseName+"."+tableName);
  248 + mysqlToInfluxDB(databaseName,tableName);
  249 +
  250 + calendar.add(Calendar.DATE,1);
  251 + }
  252 + }
  253 +
  254 + private String getlimit(int pageNo,int pageSize)
  255 + {
  256 + String limint = " limit " + (pageNo - 1) * pageSize + "," + pageSize;
  257 + logger.info(limint);
  258 + return limint;
  259 + }
  260 +
  261 + public String getSenserData(String deviceInfoId,String dataType,Integer startTime,Integer endTime)
  262 + {
  263 + InfluxDBClient influxDBClient = connect(60000);
  264 + QueryApi queryApi = influxDBClient.getQueryApi();
  265 +
  266 + String[] separationstr = separationDeviceInfoId(deviceInfoId);
  267 +
  268 + List<FluxTable> list = queryApi.query("select * from `"+separationstr[0]+"` where sn='"+separationstr[1]+"' and type='"+dataType+"' and time>="+startTime*1000l*1000l*1000l+" and time<"+endTime*1000l*1000l*1000l,org);
  269 +
  270 + close(influxDBClient);
  271 + return "";
  272 + }
  273 +
  274 + /**
  275 + * 查询所有数据库
  276 + * @return
  277 + */
  278 + public List<Bucket> findBuckets()
  279 + {
  280 + InfluxDBClient influxDBClient = connect();
  281 + List<Bucket> buckets = influxDBClient.getBucketsApi().findBuckets();
  282 + close(influxDBClient);
  283 + return buckets;
  284 + }
  285 +
  286 + /**
  287 + * 查询数据库下所有表
  288 + * @param bucket
  289 + * @return
  290 + */
  291 + public List<FluxTable> findMeasurements(String bucket)
  292 + {
  293 + InfluxDBClient influxDBClient = connect();
  294 + List<FluxTable> tables = influxDBClient.getQueryApi().query("import \"influxdata/influxdb/v1\"\n"
  295 + + "v1.measurements(bucket:\""+bucket+"\")", org);
  296 + close(influxDBClient);
  297 + return tables;
  298 + }
  299 +
  300 + public void queryMeasurementDataWithPaging(String bucket,String measurement, int limit, int offset) {
  301 + InfluxDBClient influxDBClient = connect();
  302 + QueryApi queryApi = influxDBClient.getQueryApi();
  303 + String flux = String.format("from(bucket:\""+bucket+"\") |> range(start: -5y) |> filter(fn: (r) => r._measurement == \"%s\") |> last() ", measurement, limit, offset);
  304 + List<FluxTable> tables = queryApi.query(flux, org);
  305 +
  306 + for (FluxTable table : tables) {
  307 + List<FluxRecord> records = table.getRecords();
  308 + for (FluxRecord record : records) {
  309 + System.out.println(record.getTime() + ": " + record.getValue());
  310 + }
  311 + }
  312 + close(influxDBClient);
  313 + }
  314 +
  315 + /**
  316 + * 带时区信息的UTC格式
  317 + */
  318 + public static final String UTC_ZONE_FORMATER = "yyyy-MM-dd'T'HH:mm:ss.SSSZ";
  319 +
  320 +
  321 + /**
  322 + *查询数据
  323 + */
  324 + public void select(String bucketName, String tableName,Integer start,Integer stop){
  325 + InfluxDBClient influxDBClient = connect();
  326 + StringBuffer stringBuilder = new StringBuffer();
  327 + InfluxDBFluxExpression.appendCommonFlux(stringBuilder, bucketName, tableName, Instant.ofEpochMilli(start*1000l).toString(), Instant.ofEpochMilli(stop*1000l).toString());
  328 +// InfluxDBFluxExpression.appendTagFlux(stringBuilder, map.get("sn").toString());
  329 +// InfluxDBFluxExpression.appendTimeShiftFlux(stringBuilder);
  330 + logger.info("查询sql :{}", stringBuilder.toString());
  331 + // 通过时间分组 查询时间段的数据
  332 + List<FluxTable> tables = influxDBClient.getQueryApi().query(stringBuilder.toString(),org);
  333 + List<Map<String, Object>> list = new ArrayList<>();
  334 + for (FluxTable table : tables) {
  335 + List<FluxRecord> records = table.getRecords();
  336 + for (FluxRecord record : records) {
  337 + logger.info("{}---{}---{}---{}", record.getMeasurement(),record.getField(),record.getValue(),record.getTime());
  338 + }
  339 + }
  340 + close(influxDBClient);
  341 + }
  342 +
  343 +
  344 + public void queryData(String bucket,String tableName,Integer start, Integer stop) {
  345 + InfluxDBClient influxDBClient = connect();
  346 + String predicate = "_measurement=\""+tableName+"\"";
  347 + QueryApi queryApi = influxDBClient.getQueryApi();
  348 + String query = String.format("from(bucket:\"%s\") " +
  349 + "|> range(start: %s, stop: %s) " +
  350 + "|> filter(fn: (r) => %s)", bucket, OffsetDateTime.ofInstant(Instant.ofEpochMilli(start*1000l), ZoneOffset.UTC), OffsetDateTime.ofInstant(Instant.ofEpochMilli(stop*1000l), ZoneOffset.UTC), predicate);
  351 +
  352 + logger.info("查询："+query);
  353 + List<FluxTable> tables = queryApi.query(query, org);
  354 +
  355 + for (FluxTable table : tables) {
  356 + List<FluxRecord> records = table.getRecords();
  357 + for (FluxRecord record : records) {
  358 + System.out.println(record.getTime() + ": " + record.getValue());
  359 + }
  360 + }
  361 + close(influxDBClient);
  362 + }
  363 +
  364 + /**
  365 + * 删除数据
  366 + */
  367 + public void delete(String bucketName, String tableName,Integer start,Integer stop) {
  368 + InfluxDBClient influxDBClient = connect();
  369 + String predicate = "_measurement=\""+tableName+"\"";
  370 + influxDBClient.getDeleteApi().delete( OffsetDateTime.ofInstant(Instant.ofEpochMilli(start*1000l), ZoneOffset.UTC),
  371 + OffsetDateTime.ofInstant(Instant.ofEpochMilli(stop*1000l), ZoneOffset.UTC),
  372 + predicate,bucketName, org);
  373 + close(influxDBClient);
  374 + }
  375 + public static void main(String[] args) {
  376 + InfluxDB2Service influxDB2Service = new InfluxDB2Service();
  377 +// influxDB2Service.delete("6_W","865501049001200",1580918400,1581091200);
  378 + influxDB2Service.select("6_W","865501049001200",1580745600,1580832000);
  379 +
  380 + }
  381 +
  382 +
  383 +}
  1 +package com.zhonglai.luhui.data.file.service.service;
  2 +
  3 +import com.alibaba.fastjson.JSON;
  4 +import com.alibaba.fastjson.JSONObject;
  5 +import com.github.shyiko.mysql.binlog.BinaryLogClient;
  6 +import com.github.shyiko.mysql.binlog.event.*;
  7 +import com.github.shyiko.mysql.binlog.event.deserialization.EventDeserializer;
  8 +
  9 +import java.io.IOException;
  10 +import java.io.Serializable;
  11 +import java.util.Arrays;
  12 +import java.util.List;
  13 +import java.util.Map;
  14 +import java.util.Objects;
  15 +
  16 +public class MysqlBinlogService {
  17 + public static void main(String[] args) {
  18 + // 这里的账号必须要有权限访问
  19 + BinaryLogClient client = new BinaryLogClient("rm-wz9740un21f09iokuao.mysql.rds.aliyuncs.com", 3306, "luhui", "Luhui586");
  20 + // 反序列化配置
  21 + EventDeserializer eventDeserializer = new EventDeserializer();
  22 + eventDeserializer.setCompatibilityMode(EventDeserializer.CompatibilityMode.DATE_AND_TIME_AS_LONG
  23 +// EventDeserializer.CompatibilityMode.CHAR_AND_BINARY_AS_BYTE_ARRAY
  24 + );
  25 + // 设置反序列化配置
  26 + client.setEventDeserializer(eventDeserializer);
  27 + // 设置自己的client作为服务器的id
  28 + client.setServerId(3);
  29 + // 可选，设置start fileName+position
  30 +// client.setBinlogFilename("master-bin.000080");
  31 +// client.setBinlogPosition(219);
  32 +
  33 + client.registerEventListener(event -> {
  34 + EventData data = event.getData();
  35 + String tableName;
  36 + if (data instanceof TableMapEventData) {
  37 + System.out.println("Table:");
  38 + TableMapEventData tableMapEventData = (TableMapEventData) data;
  39 + System.out.println(tableMapEventData.getTableId() + ": [" + tableMapEventData.getDatabase() + "." + tableMapEventData.getTable() + "]");
  40 + tableName = tableMapEventData.getTable();
  41 + // 如果是不处理的表，那么返回
  42 + if (!Objects.equals(tableName, "student"))
  43 + return;
  44 + }
  45 + if (data instanceof UpdateRowsEventData) {
  46 +// System.out.println("Update:");
  47 +// System.out.println(data);
  48 + // 获取对应的操作对象的json化数据
  49 + UpdateRowsEventData udata = (UpdateRowsEventData) data;
  50 + List<Map.Entry<Serializable[], Serializable[]>> rows = udata.getRows();
  51 + for (Map.Entry<Serializable[], Serializable[]> row : rows) {
  52 + List<Serializable> entries = Arrays.asList(row.getValue());
  53 + JSONObject dataObject = getDataObject(entries);
  54 + System.out.println(dataObject);
  55 + }
  56 + } else if (data instanceof WriteRowsEventData) {
  57 + WriteRowsEventData wData = new WriteRowsEventData();
  58 + wData.getIncludedColumns();
  59 + wData.getRows();
  60 +
  61 + System.out.println("Insert:");
  62 + System.out.println(data);
  63 + } else if (data instanceof DeleteRowsEventData) {
  64 + System.out.println("Delete:");
  65 + System.out.println(data);
  66 + }
  67 + });
  68 + try {
  69 + client.connect();
  70 + } catch (IOException e) {
  71 + e.printStackTrace();
  72 + }
  73 + }
  74 +
  75 +
  76 + /**
  77 + * 根据message获取对象
  78 + */
  79 + private static JSONObject getDataObject(List<Serializable> message) {
  80 + JSONObject resultObject = new JSONObject();
  81 + String format = "{\"id\":\"0\",\"name\":\"1\",\"age\":\"2\",\"code\":\"3\"}";
  82 + JSONObject json = JSON.parseObject(format);
  83 + for (String key : json.keySet()) {
  84 + resultObject.put(key, message.get(json.getInteger(key)));
  85 + }
  86 + return resultObject;
  87 + }
  88 +
  89 +}
@@ -24,7 +24,7 @@ import java.util.concurrent.TimeUnit; @@ -24,7 +24,7 @@ import java.util.concurrent.TimeUnit;
24 public class FileUtil { 24 public class FileUtil {
25 private static String LvLianFilePath = "D:/data/ly_sensor_data"; 25 private static String LvLianFilePath = "D:/data/ly_sensor_data";
26 private static String BaiDuWangPanFilePath = "/禄辉/ly_sensor_data"; 26 private static String BaiDuWangPanFilePath = "/禄辉/ly_sensor_data";
27 - public static String tempFilePath = "F:/data"; 27 + public static String tempFilePath = System.getProperty("user.dir")+"/data";
28 public static String CRLF = "\r\n"; 28 public static String CRLF = "\r\n";
29 /** 29 /**
30 * 读取绿联云的文件 30 * 读取绿联云的文件
  1 +package com.zhonglai.luhui.data.file.service.util;
  2 +
  3 +import org.apache.commons.lang3.StringUtils;
  4 +
  5 +import java.util.*;
  6 +import java.util.Map.Entry;
  7 +
  8 +/**
  9 + * @Description:
  10 + * @author： skies
  11 + * @date：
  12 + */
  13 +public class InfluxDBFluxExpression {
  14 +
  15 + /**
  16 + * 通用表达式
  17 + *
  18 + * @param buffer
  19 + * @param bucketName 名称
  20 + * @param tableName 表名
  21 + * @param start 开始时间
  22 + * @param stop 结束时间
  23 + */
  24 + public static void appendCommonFlux(StringBuffer buffer, String bucketName, String tableName,
  25 + String start, String stop) {
  26 + appendBucketFlux(buffer, bucketName);
  27 + appendTimeRangeFlux(buffer, start, stop);
  28 + appendTableFlux(buffer, tableName);
  29 +// if(timestampFlag) {
  30 +// appendTimestampFlux(buffer);
  31 +// }
  32 +// if(dropDefaultFlag) {
  33 +// appendDropFlux(buffer);
  34 +// }
  35 +
  36 + }
  37 +
  38 +
  39 + /**
  40 + * 数据源(桶)表达式
  41 + *
  42 + * @param buffer
  43 + * @param bucketName 名称
  44 + */
  45 + public static void appendBucketFlux(StringBuffer buffer, String bucketName) {
  46 + buffer.append("from(bucket: \"" + bucketName + "\") ");
  47 + }
  48 +
  49 + /**
  50 + * 表名表达式
  51 + *
  52 + * @param buffer
  53 + * @param tableName 名称
  54 + */
  55 + public static void appendTableFlux(StringBuffer buffer, String tableName) {
  56 + buffer.append("|> filter(fn: (r) => r._measurement == \"" + tableName + "\") ");
  57 + }
  58 +
  59 + /**
  60 + * 表名表达式
  61 + *
  62 + * @param buffer
  63 + * @param tag 名称
  64 + */
  65 + public static void appendTagFlux(StringBuffer buffer, String tag) {
  66 + buffer.append("|> filter(fn: (r) => r.tag == \"" + tag + "\") ");
  67 + }
  68 +
  69 + /**
  70 + * field表达式
  71 + *
  72 + * @param buffer
  73 + * @param field 名称
  74 + */
  75 + public static void appendTagField(StringBuffer buffer, String field) {
  76 + buffer.append("|> filter(fn: (r) => r._field == \"" + field + "\") ");
  77 + }
  78 +
  79 +
  80 + /**
  81 + * 时间范围表达式 UTC时间
  82 + *
  83 + * @param buffer
  84 + * @param start 开始时间
  85 + * @param stop 结束时间
  86 + */
  87 + public static void appendTimeRangeFlux(StringBuffer buffer, String start, String stop) {
  88 + if (StringUtils.isBlank(start)) {
  89 + start = "1970-01-01T00:00:00.000Z";
  90 + }
  91 + if (StringUtils.isBlank(stop)) {
  92 + buffer.append("|> range(start:" + start + ") ");
  93 + } else {
  94 + buffer.append("|> range(start:" + start + ", stop:" + stop + ") ");
  95 + }
  96 + }
  97 +
  98 + /**
  99 + * 删除字段表达式
  100 + *
  101 + * @param buffer
  102 + * @param args 需要删除的字段【 参数为空的话删除host字段】
  103 + */
  104 + public static void appendDropFlux(StringBuffer buffer, String... args) {
  105 + if (args.length == 0) {
  106 + buffer.append("|> drop(columns: [\"host\"]) ");
  107 + return;
  108 + }
  109 + buffer.append("|> drop(columns: [");
  110 + for (int i = 0; i < args.length; i++) {
  111 + if (i != 0) {
  112 + buffer.append(",");
  113 + }
  114 + buffer.append("\"" + args[i] + "\"");
  115 + }
  116 + buffer.append("]) ");
  117 + }
  118 +
  119 + /**
  120 + * 复制属性列表达式
  121 + *
  122 + * @param buffer
  123 + * @param oldField 原来的字段名称
  124 + * @param newField 新的字段名称
  125 + */
  126 + public static void appendDuplicateFlux(StringBuffer buffer, String oldField, String newField) {
  127 + buffer.append("|> duplicate(column: \"" + oldField + "\", as: \"" + newField + "\") ");
  128 + }
  129 +
  130 + /**
  131 + * 重命名属性列表达式
  132 + *
  133 + * @param buffer
  134 + * @param oldField 原来的字段名称
  135 + * @param newField 新的字段名称
  136 + */
  137 + public static void appendRenameFlux(StringBuffer buffer, String oldField, String newField) {
  138 + buffer.append(" |> rename(columns: {" + oldField + ": \"" + newField + "\"}) ");
  139 + }
  140 +
  141 +
  142 + /**
  143 + * 最新一条数据表达式
  144 + *
  145 + * @param buffer
  146 + */
  147 + public static void appendLastFlux(StringBuffer buffer) {
  148 + buffer.append("|> last() ");
  149 + }
  150 +
  151 + /**
  152 + * 分页查询
  153 + *
  154 + * @param buffer
  155 + * @param n
  156 + * @param offset
  157 + */
  158 + public static void appendLimitFlux(StringBuffer buffer, int n, int offset) {
  159 + buffer.append("|> limit(n:" + n + ", offset: " + offset + ") ");
  160 + }
  161 +
  162 + /**
  163 + * 分组表达式
  164 + *
  165 + * @param buffer
  166 + */
  167 + public static void appendGroupFlux(StringBuffer buffer, String... columns) {
  168 + if (columns.length == 0) {
  169 + buffer.append("|> group() ");
  170 + } else {
  171 + buffer.append("|> group(columns:[ ");
  172 + for (int i = 0; i < columns.length; i++) {
  173 + if (i != 0) {
  174 + buffer.append(",");
  175 + }
  176 + buffer.append("\"" + columns[i] + "\"");
  177 + }
  178 + buffer.append("]) ");
  179 + }
  180 +
  181 + }
  182 +
  183 + /**
  184 + * 去重表达式
  185 + *
  186 + * @param buffer
  187 + */
  188 + public static void appendDistinctFlux(StringBuffer buffer, String... columns) {
  189 + if (columns.length == 0) {
  190 + buffer.append("|> distinct() ");
  191 + } else {
  192 + buffer.append("|> distinct(column:\"" + columns[0] + "\") ");
  193 + }
  194 +
  195 + }
  196 +
  197 + /**
  198 + * 总数表达式
  199 + *
  200 + * @param buffer
  201 + */
  202 + public static void appendCountFlux(StringBuffer buffer) {
  203 + buffer.append("|> count() ");
  204 + }
  205 +
  206 + /**
  207 + * 前几条数据
  208 + *
  209 + * @param buffer
  210 + * @param n
  211 + */
  212 + public static void appendTopFlux(StringBuffer buffer, int n) {
  213 + buffer.append("|> top(n:" + n + ") ");
  214 + }
  215 +
  216 + public static void appendBottomFlux(StringBuffer buffer, int n) {
  217 + buffer.append("|> bottom(n:" + n + ") ");
  218 + }
  219 +
  220 + /**
  221 + * 排序
  222 + *
  223 + * @param buffer
  224 + * @param descFlag true 降序 ；false 升序
  225 + * @param columns
  226 + */
  227 + public static void appendSortFlux(StringBuffer buffer, boolean descFlag, String... columns) {
  228 + if (columns.length == 0) {
  229 + buffer.append("|> sort(columns: [\"_value\"], desc: " + descFlag + ")");
  230 + } else {
  231 + buffer.append("|> sort(columns:[ ");
  232 + for (int i = 0; i < columns.length; i++) {
  233 + if (i != 0) {
  234 + buffer.append(",");
  235 + }
  236 + buffer.append("\"" + columns[i] + "\"");
  237 + }
  238 + buffer.append("], desc: " + descFlag + ") ");
  239 + }
  240 + }
  241 +
  242 +
  243 + /**
  244 + * 时移八小时
  245 + *
  246 + * @param buffer
  247 + */
  248 + public static void appendTimeShiftFlux(StringBuffer buffer) {
  249 + buffer.append("|> timeShift(duration: 8h) ");
  250 + }
  251 +
  252 + /**
  253 + * 过滤单个字符表达式
  254 + *
  255 + * @param buffer
  256 + * @param list
  257 + * @param operator 【== != 】
  258 + * @param join 【and or】
  259 + * @param fieldName
  260 + */
  261 + public static void appendFilterFlux(StringBuffer buffer, List<String> list, String operator, String join, String fieldName) {
  262 + if (list == null || list.size() == 0) {
  263 + return;
  264 + }
  265 + for (int i = 0, size = list.size(); i < size; i++) {
  266 + if (i == 0) {
  267 + buffer.append("|> filter(fn: (r) =>");
  268 + } else {
  269 + buffer.append(join);
  270 + }
  271 + buffer.append(" r." + fieldName + " " + operator + " \"" + list.get(i) + "\" ");
  272 + }
  273 + buffer.append(") ");
  274 + }
  275 +
  276 + /**
  277 + * 过滤表达式
  278 + *
  279 + * @param buffer
  280 + * @param map
  281 + * @param operator 【== != 】
  282 + * @param join 【and or】
  283 + */
  284 + public static void appendFilterFlux(StringBuffer buffer, Map<String, Object> map, String operator, String join) {
  285 + Set<Entry<String, Object>> entrySet = map.entrySet();
  286 + Iterator<Entry<String, Object>> iterator = entrySet.iterator();
  287 + boolean flag = true;
  288 + while (iterator.hasNext()) {
  289 + Entry<String, Object> next = iterator.next();
  290 + String key = next.getKey();
  291 + Object value = next.getValue();
  292 + if (flag) {
  293 + buffer.append("|> filter(fn: (r) =>");
  294 + flag = false;
  295 + } else {
  296 + buffer.append(join);
  297 + }
  298 + buffer.append(" r." + key + " " + operator + " \"" + value + "\" ");
  299 + }
  300 + if (!flag) {
  301 + buffer.append(") ");
  302 + }
  303 +
  304 + }
  305 +
  306 + /**
  307 + * 过滤多个字段表达式
  308 + *
  309 + * @param buffer
  310 + * @param list
  311 + * @param innerJoin 【and or】
  312 + * @param operator 【== != 】
  313 + * @param outerJoin 【and or】
  314 + */
  315 + public static void appendMulFilterFlux(StringBuffer buffer, List<Map<String, Object>> list, String innerJoin, String operator, String outerJoin) {
  316 + if (list == null || list.size() == 0) {
  317 + return;
  318 + }
  319 + buffer.append("|> filter(fn: (r) => ");
  320 + boolean outerFlag = true;
  321 + for (int i = 0; i < list.size(); i++) {
  322 + Map<String, Object> map = list.get(i);
  323 + Set<Entry<String, Object>> entrySet = map.entrySet();
  324 + Iterator<Entry<String, Object>> iterator = entrySet.iterator();
  325 + boolean innerFlag = true;
  326 + while (iterator.hasNext()) {
  327 + Entry<String, Object> next = iterator.next();
  328 + String key = next.getKey();
  329 + Object value = next.getValue();
  330 + if (innerFlag) {
  331 + if (outerFlag) {
  332 + outerFlag = false;
  333 + } else {
  334 + buffer.append(outerJoin);
  335 + }
  336 + buffer.append(" ( ");
  337 + innerFlag = false;
  338 + } else {
  339 + buffer.append(innerJoin);
  340 + }
  341 + buffer.append(" r." + key + " " + operator + " \"" + value + "\" ");
  342 + }
  343 + if (!innerFlag) {
  344 + buffer.append(" ) ");
  345 + }
  346 + }
  347 + buffer.append(" ) ");
  348 +
  349 + }
  350 +
  351 + /**
  352 + * 时间窗口统计
  353 + *
  354 + * @param buffer
  355 + * @param step 步长值【10m,1h,1d...】
  356 + * @param aggType 统计类型【sum,count,min,max...)
  357 + */
  358 + public static void appendAggregateWindowFlux(StringBuffer buffer, String step, String aggType) {
  359 + buffer.append("|> aggregateWindow(every: " + step + ", fn: " + aggType + ") ");
  360 + }
  361 +
  362 + public static void appendWindowFlux(StringBuffer buffer, String step) {
  363 + buffer.append("|> window(every: " + step + ") ");
  364 + }
  365 +
  366 + /**
  367 + * 不带时间窗口统计
  368 + *
  369 + * @param buffer
  370 + * @param aggType 统计类型【sum,count,min,max...)
  371 + */
  372 + public static void appendAggregateFlux(StringBuffer buffer, String aggType) {
  373 + buffer.append("|> " + aggType + "() ");
  374 + }
  375 +
  376 +
  377 + /**
  378 + * 多个查询结果需要指定每个输出结果名称
  379 + *
  380 + * @param buffer
  381 + * @param name
  382 + */
  383 + public static void appendYieldFlux(StringBuffer buffer, String name) {
  384 + buffer.append("|> yield(name: \"" + name + "\") ");
  385 + }
  386 +
  387 + /**
  388 + * 将时间指定为某单位
  389 + *
  390 + * @param buffer
  391 + * @param step
  392 + */
  393 + public static void appendTruncateTimeColumn(StringBuffer buffer, String step) {
  394 + buffer.append("|> truncateTimeColumn(unit: " + step + ") ");
  395 + }
  396 +
  397 + /**
  398 + * 导入包名
  399 + *
  400 + * @param buffer
  401 + * @param name 包名
  402 + */
  403 + public static void appendImportFlux(StringBuffer buffer, String name) {
  404 + buffer.append("import \"" + name + "\" ");
  405 + }
  406 +
  407 + /**
  408 + * 过滤空值
  409 + *
  410 + * @param buffer
  411 + */
  412 + public static void appendExistsFlux(StringBuffer buffer) {
  413 + buffer.append("|> filter(fn: (r) => exists r._value ) ");
  414 + }
  415 +
  416 +
  417 + /**
  418 + * 过滤0值
  419 + *
  420 + * @param buffer
  421 + */
  422 + public static void appendZeroFlux(StringBuffer buffer) {
  423 + buffer.append("|> filter(fn: (r) => r._value > 0) ");
  424 + }
  425 +
  426 +}
1 -# 项目相关配置 jhlt: # 名称 name: zhonglai # 版本 version: 3.8.2 # 版权年份 copyrightYear: 2023 # 开发环境配置 server: # 服务器的HTTP端口，默认为8080 port: 8067 servlet: # 应用的访问路径 context-path: / tomcat: # tomcat的URI编码 uri-encoding: UTF-8 # 连接数满后的排队数，默认为100 accept-count: 1000 threads: # tomcat最大线程数，默认为200 max: 800 # Tomcat启动初始化的线程数，默认值10 min-spare: 100 # 日志配置 logging: level: com.ruoyi: debug org.springframework: warn # Swagger配置 swagger: # 是否开启swagger enabled: true # 请求前缀 pathMapping: /dev-api  
  1 +# 项目相关配置 jhlt: # 名称 name: zhonglai # 版本 version: 3.8.2 # 版权年份 copyrightYear: 2023 # 开发环境配置 server: # 服务器的HTTP端口，默认为8080 port: 8067 servlet: # 应用的访问路径 context-path: / tomcat: # tomcat的URI编码 uri-encoding: UTF-8 # 连接数满后的排队数，默认为100 accept-count: 1000 threads: # tomcat最大线程数，默认为200 max: 800 # Tomcat启动初始化的线程数，默认值10 min-spare: 100 # 日志配置 logging: level: com.ruoyi: debug org.springframework: warn # Swagger配置 swagger: # 是否开启swagger enabled: true # 请求前缀 pathMapping: /dev-api # canal配置 canal: client: instances: example: host: 192.168.94.186 port: 11111
1 -url=jdbc:mysql://rm-wz9740un21f09iokuao.mysql.rds.aliyuncs.com:3306/liu_yu_le?useUnicode=true&characterEncoding=utf8&autoReconnect=true 1 +# url=jdbc:mysql://rm-wz9740un21f09iokuao.mysql.rds.aliyuncs.com:3306/liu_yu_le?useUnicode=true&characterEncoding=utf8&autoReconnect=true
  2 +# user = luhui
  3 +# pass = Luhui586
  4 +
  5 +url=jdbc:mysql://192.168.2.69:3306/ly_sensor_data_2020?useUnicode=true&characterEncoding=utf8&autoReconnect=true
2 user = luhui 6 user = luhui
3 pass = Luhui586 7 pass = Luhui586
4 8
@@ -56,6 +56,24 @@ public class DeviceProductProtocol { @@ -56,6 +56,24 @@ public class DeviceProductProtocol {
56 deviceDataConfigList.add(new DeviceDataConfig(41,"SYS_ALARM",null,PLCDataType.故障代码,"00","设备故障报警","01","01")); 56 deviceDataConfigList.add(new DeviceDataConfig(41,"SYS_ALARM",null,PLCDataType.故障代码,"00","设备故障报警","01","01"));
57 deviceDataConfigList.add(new DeviceDataConfig(73,"YC_AUTO_P002",PLCType.排污,PLCDataType.控制器状态码,"41","远程自动按钮",null,"01")); 57 deviceDataConfigList.add(new DeviceDataConfig(73,"YC_AUTO_P002",PLCType.排污,PLCDataType.控制器状态码,"41","远程自动按钮",null,"01"));
58 58
  59 + deviceDataConfigList.add(new DeviceDataConfig(1,"C001_RUN",PLCType.曝气,PLCDataType.控制器状态码,"42","运行信号"));
  60 + deviceDataConfigList.add(new DeviceDataConfig(2,"C001_ALARM",PLCType.曝气,PLCDataType.故障代码,"42","故障信号","11","01"));
  61 + deviceDataConfigList.add(new DeviceDataConfig(1,"P003_RUN",PLCType.微滤机,PLCDataType.控制器状态码,"43","微滤反洗水泵运行信号"));
  62 + deviceDataConfigList.add(new DeviceDataConfig(2,"P003_ALARM",PLCType.微滤机,PLCDataType.故障代码,"43","微滤反洗水泵故障信号","11","01"));
  63 + deviceDataConfigList.add(new DeviceDataConfig(1,"M001_RUN",PLCType.微滤机,PLCDataType.控制器状态码,"44","微滤驱动电机运行信号"));
  64 + deviceDataConfigList.add(new DeviceDataConfig(2,"M001_ALARM",PLCType.微滤机,PLCDataType.故障代码,"44","微滤驱动电机故障信号","11","01"));
  65 + deviceDataConfigList.add(new DeviceDataConfig(1,"DV01_RUN",PLCType.蛋分,PLCDataType.控制器状态码,"45","蛋分电磁阀运行信号"));
  66 + deviceDataConfigList.add(new DeviceDataConfig(1,"DF_YW",PLCType.蛋分,PLCDataType.液位高低,"45","蛋分低液位"));
  67 + deviceDataConfigList.add(new DeviceDataConfig(1,"ZWX_RUN",PLCType.杀菌,PLCDataType.控制器状态码,"46","紫外线运行信号"));
  68 + deviceDataConfigList.add(new DeviceDataConfig(1,"JCY_RUN",PLCType.鱼儿乐,PLCDataType.控制器状态码,"47","水质监测仪运行信号"));
  69 + deviceDataConfigList.add(new DeviceDataConfig(1,"ZM_RUN",null,PLCDataType.控制器状态码,"00","照明运行信号"));
  70 + deviceDataConfigList.add(new DeviceDataConfig(1,"XHSC_YW_L",PLCType.循环水池,PLCDataType.低液位,"48","循环水池低液位"));
  71 + deviceDataConfigList.add(new DeviceDataConfig(1,"XHSC_YW_H",PLCType.循环水池,PLCDataType.高液位,"49","循环水池高液位"));
  72 + deviceDataConfigList.add(new DeviceDataConfig(1,"SWLT_YW_1",PLCType.生物滤筒,PLCDataType.液位高低,"50","生物滤筒液位1"));
  73 + deviceDataConfigList.add(new DeviceDataConfig(1,"SWLT_YW_2",PLCType.生物滤筒,PLCDataType.液位高低,"51","生物滤筒液位2"));
  74 + deviceDataConfigList.add(new DeviceDataConfig(1,"ZWX_YW",PLCType.杀菌,PLCDataType.液位高低,"52","紫外线液位"));
  75 + deviceDataConfigList.add(new DeviceDataConfig(1,"WL_YW",PLCType.微滤机,PLCDataType.高液位,"53","微滤机池高液位"));
  76 +
59 deviceDataWriteConfigList.add(new DeviceDataConfig(27,"YC_ST_C001A",PLCType.推水机,PLCDataType.控制器状态码,"01","远程启动按钮",null,"01")); 77 deviceDataWriteConfigList.add(new DeviceDataConfig(27,"YC_ST_C001A",PLCType.推水机,PLCDataType.控制器状态码,"01","远程启动按钮",null,"01"));
60 deviceDataWriteConfigList.add(new DeviceDataConfig(28,"YC_STP_C001A",PLCType.推水机,PLCDataType.控制器状态码,"01","远程停止按钮",null,"00")); 78 deviceDataWriteConfigList.add(new DeviceDataConfig(28,"YC_STP_C001A",PLCType.推水机,PLCDataType.控制器状态码,"01","远程停止按钮",null,"00"));
61 deviceDataWriteConfigList.add(new DeviceDataConfig(29,"YC_ST_C001B",PLCType.推水机,PLCDataType.控制器状态码,"02","远程启动按钮",null,"01")); 79 deviceDataWriteConfigList.add(new DeviceDataConfig(29,"YC_ST_C001B",PLCType.推水机,PLCDataType.控制器状态码,"02","远程启动按钮",null,"01"));
@@ -15,7 +15,9 @@ public enum PLCDataType { @@ -15,7 +15,9 @@ public enum PLCDataType {
15 PH("8"), 15 PH("8"),
16 液位高低("100"), 16 液位高低("100"),
17 复位("101"), 17 复位("101"),
18 - 控制柜状态("9"); 18 + 低液位("102"),
  19 + 高液位("103"),
  20 + 控制柜状态("104");
19 public String sensorDataType; 21 public String sensorDataType;
20 22
21 PLCDataType(String sensorDataType) 23 PLCDataType(String sensorDataType)
@@ -11,6 +11,11 @@ public enum PLCType { @@ -11,6 +11,11 @@ public enum PLCType {
11 推水机(7), 11 推水机(7),
12 中转泵(9), 12 中转泵(9),
13 中转池(10), 13 中转池(10),
  14 + 微滤机(11),
  15 + 蛋分(12),
  16 + 循环水池(13),
  17 + 杀菌(14),
  18 + 生物滤筒(15),
14 备用(8); 19 备用(8);
15 20
16 private Integer device_terminal_type_key; 21 private Integer device_terminal_type_key;
@@ -24,7 +24,7 @@ mqtt: @@ -24,7 +24,7 @@ mqtt:
24 clientId: ${random.uuid} 24 clientId: ${random.uuid}
25 #公司id 25 #公司id
26 roleid: 2 26 roleid: 2
27 - mqtt_usernames: PLC_004 27 + mqtt_usernames: PLC_006,PLC_004
28 #订阅的topic 28 #订阅的topic
29 topics: ALL_POST,PUT_REQ 29 topics: ALL_POST,PUT_REQ
30 sub_clientid: '#' 30 sub_clientid: '#'
@@ -148,6 +148,7 @@ @@ -148,6 +148,7 @@
148 <artifactId>lh-jar-device-analysis</artifactId> 148 <artifactId>lh-jar-device-analysis</artifactId>
149 <scope>compile</scope> 149 <scope>compile</scope>
150 </dependency> 150 </dependency>
  151 +
151 </dependencies> 152 </dependencies>
152 153
153 <build> 154 <build>
1 package com.zhonglai.luhui.mqtt; 1 package com.zhonglai.luhui.mqtt;
2 2
  3 +import com.ruoyi.common.utils.GsonConstructor;
  4 +import com.zhonglai.luhui.device.analysis.comm.service.redis.RedisService;
3 import com.zhonglai.luhui.mqtt.comm.service.TerminalService; 5 import com.zhonglai.luhui.mqtt.comm.service.TerminalService;
4 import com.zhonglai.luhui.mqtt.service.ClienNoticeService; 6 import com.zhonglai.luhui.mqtt.service.ClienNoticeService;
5 import org.slf4j.Logger; 7 import org.slf4j.Logger;
@@ -10,6 +12,10 @@ import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration; @@ -10,6 +12,10 @@ import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
10 import org.springframework.boot.builder.SpringApplicationBuilder; 12 import org.springframework.boot.builder.SpringApplicationBuilder;
11 import org.springframework.context.annotation.ComponentScan; 13 import org.springframework.context.annotation.ComponentScan;
12 14
  15 +import javax.annotation.PostConstruct;
  16 +import java.util.HashMap;
  17 +import java.util.Map;
  18 +
13 19
14 @ComponentScan(basePackages = { 20 @ComponentScan(basePackages = {
15 "com.zhonglai.luhui.device.analysis", 21 "com.zhonglai.luhui.device.analysis",
@@ -22,11 +28,24 @@ import org.springframework.context.annotation.ComponentScan; @@ -22,11 +28,24 @@ import org.springframework.context.annotation.ComponentScan;
22 @SpringBootApplication(exclude= {DataSourceAutoConfiguration.class}) 28 @SpringBootApplication(exclude= {DataSourceAutoConfiguration.class})
23 public class MqttApplication { 29 public class MqttApplication {
24 private static Logger log = LoggerFactory.getLogger(MqttApplication.class); 30 private static Logger log = LoggerFactory.getLogger(MqttApplication.class);
  31 + @Autowired
  32 + private RedisService redisService ;
25 33
26 public static void main(String[] args) { 34 public static void main(String[] args) {
27 log.info("启动服务"); 35 log.info("启动服务");
28 SpringApplicationBuilder builder = new SpringApplicationBuilder(MqttApplication.class); 36 SpringApplicationBuilder builder = new SpringApplicationBuilder(MqttApplication.class);
29 builder.run( args); 37 builder.run( args);
  38 +
30 } 39 }
31 40
  41 +// @PostConstruct
  42 +// public void test()
  43 +// {
  44 +// Map<String,Object> map = new HashMap<>();
  45 +// map.put("deviceName","SC-M8 号");
  46 +// String key ="ly:x6:devices:866838067734877_1_1";
  47 +// System.out.println(GsonConstructor.get().toJson(redisService.hmget(key,"deviceName")));;
  48 +// redisService.hmset(key,map);
  49 +// }
  50 +
32 } 51 }
  1 +package com.zhonglai.luhui.mqtt;
  2 +
  3 +import com.ruoyi.common.utils.GsonConstructor;
  4 +import redis.clients.jedis.Jedis;
  5 +
  6 +import java.util.HashMap;
  7 +import java.util.Map;
  8 +
  9 +public class Test {
  10 + public static void main(String[] args) {
  11 + Jedis jedis = new Jedis("47.112.163.61",9527);
  12 + jedis.auth("Luhui586");
  13 + jedis.select(1);
  14 +
  15 + // 连接Redis并检查连接状态
  16 + String pingResponse = jedis.ping();
  17 + System.out.println("Ping Response: " + pingResponse);
  18 +
  19 + Map<String,String> map = new HashMap<>();
  20 + map.put("deviceName","SC-M8 号");
  21 + String key ="ly:x6:devices:866838067734877_1_1";
  22 + System.out.println(GsonConstructor.get().toJson(jedis.hmget(key,"deviceName")));;
  23 +
  24 + jedis.hmset(key,map);
  25 +// // 更新Redis中的key-value数据
  26 +// jedis.set("key", "newValue");
  27 +//
  28 +// // 获取并输出更新后的值
  29 +// String value = jedis.get("key");
  30 +// System.out.println("Updated Value: " + value);
  31 +
  32 + // 关闭连接
  33 + jedis.close();
  34 + }
  35 +}
@@ -41,15 +41,15 @@ spring: @@ -41,15 +41,15 @@ spring:
41 41
42 mqtt: 42 mqtt:
43 #链接地址 43 #链接地址
44 - broker: tcp://175.24.61.68:1883 44 + broker: tcp://127.0.0.1:1883
45 #唯一标识 45 #唯一标识
46 clientId: ${random.uuid} 46 clientId: ${random.uuid}
47 #公司id 47 #公司id
48 roleid: 2 48 roleid: 2
49 - mqtt_usernames: 6_WP,12_BPQ,10_TLJ,NWDB_2023,WLJ_1,YWB_A700E,12_ZNZY 49 + mqtt_usernames: 6_WP
50 #订阅的topic 50 #订阅的topic
51 topics: ADD_POST,ALL_POST,DB_TOPIC_DISTRIBUTE,GET/+,online,PUT_REQ/+,READ_REQ/+ 51 topics: ADD_POST,ALL_POST,DB_TOPIC_DISTRIBUTE,GET/+,online,PUT_REQ/+,READ_REQ/+
52 - sub_clientid: '866520063012785' 52 + sub_clientid: '+'
53 topicconfig: "/{{roleid}}/{{username}}/{{clientid}}/{{payloadtype}}/{{topicType}}/{{messageid}}" 53 topicconfig: "/{{roleid}}/{{username}}/{{clientid}}/{{payloadtype}}/{{topicType}}/{{messageid}}"
54 top_return_map: '{"PUT":"PUT_REQ","READ":"READ_REQ"}' 54 top_return_map: '{"PUT":"PUT_REQ","READ":"READ_REQ"}'
55 username: sysuser 55 username: sysuser
@@ -58,6 +58,7 @@ mqtt: @@ -58,6 +58,7 @@ mqtt:
58 #客户端操作时间 58 #客户端操作时间
59 operationTime: 10 59 operationTime: 10
60 60
  61 +
61 sys: 62 sys:
62 redis: 63 redis:
63 field: "lh:mqttservice:" 64 field: "lh:mqttservice:"
@@ -523,6 +523,16 @@ @@ -523,6 +523,16 @@
523 <artifactId>commons-pool</artifactId> 523 <artifactId>commons-pool</artifactId>
524 <version>1.6</version> 524 <version>1.6</version>
525 </dependency> 525 </dependency>
  526 + <dependency>
  527 + <groupId>com.zendesk</groupId>
  528 + <artifactId>mysql-binlog-connector-java</artifactId>
  529 + <version>0.25.0</version>
  530 + </dependency>
  531 + <dependency>
  532 + <groupId>com.influxdb</groupId>
  533 + <artifactId>influxdb-client-java</artifactId>
  534 + <version>6.12.0</version>
  535 + </dependency>
526 </dependencies> 536 </dependencies>
527 537
528 538