Flink入门(四) ElasticSearch6 update操作

软件版本
ElasticSearch6.3
Flink 1.6.2

maven依赖

        
            org.apache.flink
            flink-connector-elasticsearch6_2.11
            1.6.1
        

---

读kafka消息源

        StreamExecutionEnvironment envStream = StreamExecutionEnvironment.createLocalEnvironment();
        envStream.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
        Properties propsConsumer = new Properties();
        propsConsumer.setProperty("bootstrap.servers", KafkaConfig.KAFKA_BROKER_LIST);
        propsConsumer.setProperty("group.id", "flink-test");
        FlinkKafkaConsumer011 consumer = new FlinkKafkaConsumer011("topic_test", new SimpleStringSchema(), propsConsumer);
        consumer.setStartFromLatest();
        DataStream stream = envStream.addSource(consumer).setParallelism(2);
        stream.print();

这里是local模式.集群修改为StreamExecutionEnvironment.getExecutionEnvironment().

---

数据处理

        DataStream>  filterStream=  stream.map(new MapFunction >() {
            @Override
            public Tuple2 map(String value) throws Exception {
                try {
                    WkNotification transferLineBO = JSON.parseObject(value, WkNotification.class);
                    String type = transferLineBO.getType();
                    if(type.equals("jlh_crawling_result")){
                        Map map = transferLineBO.getContent();
                        Integer status = Integer.parseInt(map.get("result"));
                        String id = map.get("id");
                        return Tuple2.of(id,status);
                    }
                }catch (Exception e){
                }
              return Tuple2.of(null,null);
            }
        }).filter(s->s.f0!=null);

        filterStream.print();

解析json文件,抽出es要修改的_id的标识符,和要修改的字段status.
且对异常和不匹配的数据过滤.

---

ES update操作

        //初始化es client链接
        HttpHost httpHost = new HttpHost("xxx.xxx", 9200, "http");
        List httpHosts = new ArrayList<>();
        httpHosts.add(httpHost);
        ElasticsearchSink.Builder> esSinkBuilder = new ElasticsearchSink.Builder>(httpHosts,
                new ElasticsearchSinkFunction>() {
                
                    public UpdateRequest updateIndexRequest(Tuple2 element) throws IOException {
                        String id=element.f0;
                        Integer status=element.f1;
                        UpdateRequest updateRequest=new UpdateRequest();
                        //设置表的index和type,必须设置id才能update
                        updateRequest.index("trafficwisdom.test_index").type("route").id(id).doc(XContentFactory.jsonBuilder().startObject().field("status",status).endObject());
                        return updateRequest;
                    }
                    
                    @Override
                    public void process(Tuple2  element, RuntimeContext runtimeContext, RequestIndexer requestIndexer) {
                        try {
                            requestIndexer.add(updateIndexRequest(element));
                        }catch (Exception e){
                            e.printStackTrace();
                        }
                    }
                }
        );

        //必须设置flush参数
        esSinkBuilder.setBulkFlushMaxActions(1);
        
        filterStream.addSink(esSinkBuilder.build());
        
        envStream.execute("this-test");