Flink sink ES 写入 ES(带密码)_flink es sink

 1.依赖 

<dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-java</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka-0.11_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.bahir</groupId>
            <artifactId>flink-connector-redis_2.11</artifactId>
            <version>1.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-elasticsearch6_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.44</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-statebackend-rocksdb_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner-blink_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-csv</artifactId>
            <version>1.10.1</version>
        </dependency>
 
    </dependencies>

2.实体

 
// 传感器温度读数的数据类型
public class SensorReading {
    // 属性：id，时间戳，温度值
    private String id;
    private Long timestamp;
    private Double temperature;
 
    public SensorReading() {
    }
 
    public SensorReading(String id, Long timestamp, Double temperature) {
        this.id = id;
        this.timestamp = timestamp;
        this.temperature = temperature;
    }
 
    public String getId() {
        return id;
    }
 
    public void setId(String id) {
        this.id = id;
    }
 
    public Long getTimestamp() {
        return timestamp;
    }
 
    public void setTimestamp(Long timestamp) {
        this.timestamp = timestamp;
    }
 
    public Double getTemperature() {
        return temperature;
    }
 
    public void setTemperature(Double temperature) {
        this.temperature = temperature;
    }
 
    @Override
    public String toString() {
        return "SensorReading{" +
                "id='" + id + '\'' +
                ", timestamp=" + timestamp +
                ", temperature=" + temperature +
                '}';
    }
}

3.代码

import org.apache.flink.api.common.functions.RuntimeContext;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchSinkBase;
import org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchSinkFunction;
import org.apache.flink.streaming.connectors.elasticsearch.RequestIndexer;
import org.apache.flink.streaming.connectors.elasticsearch6.ElasticsearchSink;
import org.apache.flink.streaming.connectors.elasticsearch6.ElasticsearchSink.Builder;
import org.apache.flink.streaming.connectors.elasticsearch6.RestClientFactory;
import org.apache.http.HttpHost;
import org.apache.http.auth.AuthScope;
import org.apache.http.auth.UsernamePasswordCredentials;
import org.apache.http.client.CredentialsProvider;
import org.apache.http.impl.client.BasicCredentialsProvider;
import org.apache.http.impl.nio.client.HttpAsyncClientBuilder;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.Requests;
 
import java.util.ArrayList;
import java.util.HashMap;
import org.elasticsearch.client.RestClientBuilder;
import org.elasticsearch.client.RestClientBuilder.HttpClientConfigCallback;
 
public class SinkTest3_Es {
 
  public static void main(String[] args) throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setParallelism(1);
 
    // 从文件读取数据
    DataStream<String> inputStream = env.readTextFile("D:\\sensor.txt");
 
    // 转换成SensorReading类型
    DataStream<SensorReading> dataStream = inputStream.map(line -> {
      String[] fields = line.split(",");
      return new SensorReading(fields[0], new Long(fields[1]), new Double(fields[2]));
    });
 
    // 定义es的连接配置  不带用户名密码
    ArrayList<HttpHost> httpHosts = new ArrayList<>();
    httpHosts.add(new HttpHost("localhost", 9200));
    dataStream.addSink(
        new ElasticsearchSink.Builder<SensorReading>(httpHosts, new MyEsSinkFunction()).build());
    env.execute();
 
    // 定义es的连接配置  带用户名密码
   /* RestClientFactory restClientFactory = new RestClientFactory() {
      @Override
      public void configureRestClientBuilder(RestClientBuilder restClientBuilder) {
        CredentialsProvider credentialsProvider = new BasicCredentialsProvider();
        credentialsProvider.setCredentials(AuthScope.ANY,
            new UsernamePasswordCredentials("用户名", "密码"));
        restClientBuilder.setHttpClientConfigCallback(new HttpClientConfigCallback() {
          @Override
          public HttpAsyncClientBuilder customizeHttpClient(
              HttpAsyncClientBuilder httpAsyncClientBuilder) {
            httpAsyncClientBuilder.disableAuthCaching();
            return httpAsyncClientBuilder.setDefaultCredentialsProvider(credentialsProvider);
          }
        });
      }
    };
    ArrayList<HttpHost> httpHosts = new ArrayList<>();
    httpHosts.add(new HttpHost("localhost", 9200));
    ElasticsearchSink.Builder<SensorReading> sensorReadingBuilder = new ElasticsearchSink.Builder<>(
        httpHosts,
        new MyEsSinkFunction());
    sensorReadingBuilder.setRestClientFactory(restClientFactory);
    dataStream.addSink(sensorReadingBuilder.build());
    env.execute();*/
  }
 
  // 实现自定义的ES写入操作
  public static class MyEsSinkFunction implements ElasticsearchSinkFunction<SensorReading> {
 
    @Override
    public void process(SensorReading element, RuntimeContext ctx, RequestIndexer indexer) {
      // 定义写入的数据source
      HashMap<String, String> dataSource = new HashMap<>();
      dataSource.put("id", element.getId());
      dataSource.put("temp", element.getTemperature().toString());
      dataSource.put("ts", element.getTimestamp().toString());
 
      // 创建请求，作为向es发起的写入命令
      IndexRequest indexRequest = Requests.indexRequest()
          .index("sensor")
          .type("readingdata")
          .source(dataSource);
 
      // 用index发送请求
      indexer.add(indexRequest);
    }
  }
}

4.

D:\\sensor.txt

sensor_1,1547718199,35.8
sensor_6,1547718201,15.4
sensor_7,1547718202,6.7
sensor_10,1547718205,38.1
sensor_1,1547718207,36.3
sensor_1,1547718209,32.8
sensor_1,1547718212,37.1