练习 ： Flink sink to ElasticSearch

ElasticSearch

package test;

import bean.Stu;
import org.apache.flink.api.common.functions.RuntimeContext;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchSinkFunction;
import org.apache.flink.streaming.connectors.elasticsearch.RequestIndexer;
import org.apache.flink.streaming.connectors.elasticsearch7.ElasticsearchSink;
import org.apache.flink.streaming.connectors.redis.common.config.FlinkJedisPoolConfig;
import org.apache.http.HttpHost;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.Requests;

import java.util.*;

public class SinkToElasticsearch {
    public static void main(String[] args) {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        DataStreamSource<Stu> source = env.addSource(new SourceFunction<Stu>() {
            private boolean running = true;

            @Override
            public void run(SourceContext<Stu> sourceContext) throws Exception {
                while (running) {
                    for (int i = 0; i < 10; i++) {
                        ArrayList<String> subs = new ArrayList<String>(Arrays.asList("语文", "数学", "英语", "化学", "物理", "生物"));
                        List<String> names = Arrays.asList("张三", "李四", "王五", "赵六","田七");
                        int next = new Random().nextInt(15);
                        int random = new Random().nextInt(101);
                        sourceContext.collect(new Stu(names.get(next * random % 5), subs.get(next * random % 6), random));
                        Thread.sleep(1000);
                    }
                    Thread.sleep(20000);
                }
            }

            @Override
            public void cancel() {
                running = false;
            }
        });

       //创建一个 hosts 列表
        ArrayList<HttpHost> httpHosts = new ArrayList<>();
        httpHosts.add(new HttpHost("hadoop106",9200));
        FlinkJedisPoolConfig config = new FlinkJedisPoolConfig.Builder()
                .setHost("hadoop106")
                .build();

        // elasticsearch  Sink Function
        ElasticsearchSinkFunction<Stu> elasticsearchSinkFunction = new ElasticsearchSinkFunction<Stu>() {
            @Override
            public void process(Stu stu, RuntimeContext ctx, RequestIndexer indexer) {
                HashMap<String, String> map = new HashMap<>();
                map.put(stu.getName(), stu.getSub() + " " + stu.getScore());

                IndexRequest request = Requests.indexRequest()
                        .index("clicks")
                        .type("type")
                        .source(map);

                indexer.add(request);

            }
        };

        //写入 es
        source.addSink(new ElasticsearchSink.Builder<>(httpHosts,elasticsearchSinkFunction).build());
        try {
            env.execute();
        } catch (Exception e) {
            e.printStackTrace();
        }
        
        }


}

标签：flink,Flink,new,streaming,ElasticSearch,sink,org,apache,import
来源： https://www.cnblogs.com/chang09/p/16435950.html