我已经创建了一个Maven项目。
这是我的 pom.xml 的样子：-
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>flink-satrt2</groupId>
<artifactId>flink-satrt2</artifactId>
<version>1.0</version>
<packaging>jar</packaging>
<name>Flink Quickstart Job</name>
<url>http://www.myorganization.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<flink.version>1.5.0</flink.version>
<java.version>1.8</java.version>
<scala.binary.version>2.11</scala.binary.version>
<maven.compiler.source>${java.version}</maven.compiler.source>
<maven.compiler.target>${java.version}</maven.compiler.target>
</properties>
<repositories>
<repository>
<id>apache.snapshots</id>
<name>Apache Development Snapshot Repository</name>
<url>https://repository.apache.org/content/repositories/snapshots/</url>
<releases>
<enabled>false</enabled>
</releases>
<snapshots>
<enabled>true</enabled>
</snapshots>
</repository>
</repositories>
<dependencies>
<!-- Mqtt dependencies and other additional dependencies -->
<dependency>
<groupId>org.eclipse.paho</groupId>
<artifactId>org.eclipse.paho.client.mqttv3</artifactId>
<version>1.1.1</version>
</dependency>
<dependency>
<groupId>com.googlecode.json-simple</groupId>
<artifactId>json-simple</artifactId>
<version>1.1</version>
</dependency>
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.8.1</version>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongo-java-driver</artifactId>
<version>3.8.0</version>
</dependency>
<dependency>
<groupId>org.apache.eagle</groupId>
<artifactId>eagle-jpm-aggregation</artifactId>
<version>0.5.0-incubating-SNAPSHOT</version>
<scope>compile</scope>
</dependency>
<!-- Apache Flink dependencies -->
<!-- These dependencies are provided, because they should not be packaged into the JAR file. -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>
<!-- Add connector dependencies here. They must be in the default scope (compile). -->
<!-- Example:
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka-0.10_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
-->
<!-- Add logging framework, to produce console output when running in the IDE. -->
<!-- These dependencies are excluded from the application JAR by default. -->
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<version>1.7.7</version>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
<scope>runtime</scope>
</dependency>
</dependencies>
<build>
<plugins>
<!-- Java Compiler -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.1</version>
<configuration>
<source>${java.version}</source>
<target>${java.version}</target>
</configuration>
</plugin>
<!-- We use the maven-shade plugin to create a fat jar that contains all necessary dependencies. -->
<!-- Change the value of <mainClass>...</mainClass> if your program entry point changes. -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.0.0</version>
<executions>
<!-- Run shade goal on package phase -->
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<artifactSet>
<excludes>
<exclude>org.apache.flink:force-shading</exclude>
<exclude>com.google.code.findbugs:jsr305</exclude>
<exclude>org.slf4j:*</exclude>
<exclude>log4j:*</exclude>
</excludes>
</artifactSet>
<filters>
<filter>
<!-- Do not copy the signatures in the META-INF folder.
Otherwise, this might cause SecurityExceptions when using the JAR. -->
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>MetrixAnalysis</mainClass>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
<pluginManagement>
<plugins>
<!-- If you want to use Java 8 Lambda Expressions uncomment the following lines -->
<!--
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>${java.version}</source>
<target>${java.version}</target>
<compilerId>jdt</compilerId>
</configuration>
<dependencies>
<dependency>
<groupId>org.eclipse.tycho</groupId>
<artifactId>tycho-compiler-jdt</artifactId>
<version>0.21.0</version>
</dependency>
</dependencies>
</plugin>
-->
<!-- This improves the out-of-the-box experience in Eclipse by resolving some warnings. -->
<plugin>
<groupId>org.eclipse.m2e</groupId>
<artifactId>lifecycle-mapping</artifactId>
<version>1.0.0</version>
<configuration>
<lifecycleMappingMetadata>
<pluginExecutions>
<pluginExecution>
<pluginExecutionFilter>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<versionRange>[3.0.0,)</versionRange>
<goals>
<goal>shade</goal>
</goals>
</pluginExecutionFilter>
<action>
<ignore/>
</action>
</pluginExecution>
<pluginExecution>
<pluginExecutionFilter>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<versionRange>[3.1,)</versionRange>
<goals>
<goal>testCompile</goal>
<goal>compile</goal>
</goals>
</pluginExecutionFilter>
<action>
<ignore/>
</action>
</pluginExecution>
</pluginExecutions>
</lifecycleMappingMetadata>
</configuration>
</plugin>
</plugins>
</pluginManagement>
</build>
<!-- This profile helps to make things run out of the box in IntelliJ -->
<!-- Its adds Flink's core classes to the runtime class path. -->
<!-- Otherwise they are missing in IntelliJ, because the dependency is 'provided' -->
<profiles>
<profile>
<id>add-dependencies-for-IDEA</id>
<activation>
<property>
<name>idea.version</name>
</property>
</activation>
<dependencies>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>compile</scope>
</dependency>
</dependencies>
</profile>
</profiles>
</project>
这是主类MetrixAnalysis，我正在尝试通过执行jar来运行它：
mvn软件包 命令
public class MetrixAnalysis
{
private static int falseNegativeCount = 0,falsePositiveCount = 0,faceDetectedCount =0,successCount = 0;
public static void main(String args[]) throws Exception
{
StreamExecutionEnvironment env=StreamExecutionEnvironment.getExecutionEnvironment();
String clientId = MqttConstant.CLIENT_ID;
String serverUrl =MqttConstant.URL;
String password =MqttConstant.PASSWORD;
String USERNAME =MqttConstant.USERNAME;
MqttConnectOptions connectOptions = new MqttConnectOptions();
connectOptions.setUserName(USERNAME);
connectOptions.setPassword(password.toCharArray());
System.out.println(connectOptions.getUserName()+" "+connectOptions.getPassword());
MqttClient client = new MqttClient(serverUrl, clientId);
client.connect(connectOptions);
System.out.println("SUBSCRIBED_TOPICS:-");
for (Map.Entry<String,String> topic:MqttConstant.TOPICS.entrySet())
{
System.out.println(topic.getValue());
client.subscribe(topic.getValue()) ;
}
System.out.println("\n"+"PUBLISHING_TOPIC:-"+MqttConstant.TOPICS.get("PUBLISHING_TOPIC")+"\n");
DataStream<String> dataStream= env.readTextFile("/home/adeeshwar/flinkProjects/flink-start3/Abc.txt");
client.setTimeToWait(5000);
client.setCallback(new MqttCallback()
{
@Override
public void connectionLost(Throwable throwable)
{ System.out.println("Connnection Lost!!!!!!!!!!!!!!!!!!!!");}
@Override
public void messageArrived(String s, MqttMessage mqttMessage) throws Exception
{
//count=0;
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MMM-dd");
Date date = new Date();
//mongo db connection with database and collection
System.out.println("\nMESSAGE_ARRIVED:-\n"+mqttMessage+"\n");
MongoClient mongoClient = new MongoClient("localhost", 27017);
DB database = mongoClient.getDB("Faces");
DBCollection fetchCollection = database.getCollection("DeviceAnalysis");
//getting stream coming from mqtt.fx in payload
String payload=new String(mqttMessage.getPayload());
System.out.println("\nPAYLOAD:-\n"+payload+"\n");
try
{
//creating json object for stream
JSONObject obj = new JSONObject(payload);
System.out.println("JSON_OBJECT:-\n" + obj + "\n");
//fetching fields from jsonobject
String device_id = obj.getString("device_id");
Long timestamp = obj.getLong("timestamp");
String version = obj.getString("version");
String model;
Date resultdate = new Date(timestamp);
String streamDate=sdf.format(resultdate);
//creating BasicDBObject for document
BasicDBObject facialStream= new BasicDBObject();
//check model value and insert in model variable
if(obj.has("model"))
model = obj.getString("model");
else
model="";
//for type field
String streamType=null ;//= obj.getString("type");
// String type1 = null;
if(obj.has("face"))
{
if(obj.getString("face").equals(""))
{
streamType="snapshot";
}
else if(obj.getString("face").equals("HexCodedString"))
{
streamType="faceDetected";
}
}
else
{
streamType=obj.getString("type");
}
//for and query on the basis of device_id,version,model,date
BasicDBObject andQuery=new BasicDBObject();
List<BasicDBObject> obj1= new ArrayList<BasicDBObject>();
obj1.add(new BasicDBObject("device_id",device_id));
obj1.add(new BasicDBObject("version",version));
obj1.add(new BasicDBObject("date",streamDate));
obj1.add(new BasicDBObject("model",model));
// obj1.add(new BasicDBObject("type",streamType));
andQuery.put("$and",obj1);
//count of fetched document
Cursor fetchRecords= fetchCollection.find(andQuery);
int recordsCount = fetchCollection.find(andQuery).count();
System.out.print("FetchedRecordsCount: "+recordsCount+"\n");
Boolean flag =false;
if(recordsCount>0)
{
System.out.println("When Fetched Records>0\n");
falseNegativeCount = 0;falsePositiveCount = 0;faceDetectedCount =0;successCount = 0; //,snapshotsCount = 0;
while (fetchRecords.hasNext())
{
BasicDBObject fetchedRecord = (BasicDBObject) fetchRecords.next();
String recordType=fetchedRecord.getString("type");
int recordCount=fetchedRecord.getInt("count");
if (recordType.equals(streamType))
{
flag=true;
System.out.println("Fetched Records type matches with Input Facial Stream\n");
BasicDBObject updateQuery1=new BasicDBObject().append("$set",new BasicDBObject().append("count",++recordCount).append("timestamp",timestamp));
fetchCollection.update(fetchedRecord,updateQuery1);
}
calculatingSuccessCount(recordType,recordCount);
}
if(!flag)
{
System.out.println("Fetched Records type does not match with Input Facial Stream\n");
saveNewRecord(facialStream,device_id,version,model,streamType,timestamp,streamDate,fetchCollection);
calculatingSuccessCount(streamType,1);
}
successCount = faceDetectedCount - falsePositiveCount - falseNegativeCount;
fetchRecords= fetchCollection.find(andQuery);
while (fetchRecords.hasNext())
{
BasicDBObject fetchedRecord = (BasicDBObject) fetchRecords.next();
BasicDBObject updateQuery2=new BasicDBObject().append("$set",new BasicDBObject().append("successCount",successCount));
fetchCollection.update(fetchedRecord,updateQuery2);
}
}
else
{
System.out.println("When Fetched Records=0\n");
saveNewRecord(facialStream,device_id,version,model,streamType,timestamp,streamDate,fetchCollection);
}
}
catch (Exception e)
{
e.printStackTrace();
}
}
@Override
public void deliveryComplete(IMqttDeliveryToken iMqttDeliveryToken)
{ }
});
dataStream.print();
env.execute();
}
我还没有添加很多Flink转换。
我只是通过提交jar通过Flink Web仪表板测试我的基本代码。
我正在从mqtt.fx客户端获取流。
我遇到的问题是，当我通过 IntelliJ IDE在本地运行此代码时，我得到了正确的输出，并且数据已保存在mongo中数据库正确。
但是当我通过web dashoard运行它时 其无法输入Client.setCallback（）方法。
我得到的输出是：-
Starting execution of program
adeesh [C@41fecb8b
SUBSCRIBED_TOPICS:-
/flink/mqtt
/mqtt/flink/camera
/mqtt/flink
PUBLISHING_TOPIC:-/flink/mqtt
Program execution finished
Job with JobID c9afe364c1f3c10232e877bc4e0dcf89 has finished.
Job Runtime: 3942 ms
因此它在setCallback方法之前提供基本输出。
然后直接跳转到datastream.print（）方法。
请告诉为什么它无法输入setCallback（）方法