String jsonStr = "{ \"kpi1\": 0, \"kpi2\": 0, \"kpi3\": 0, \"kpi4\": 0, \"kpi5\": -3, \"kpi6\": -3, \"kpi7\": 20971520000, \"kpi8\": 0, \"kpi9\": 0, \"kpi10\": 0, \"kpi11\": 0, \"kpi12\": 0, \"kpi13\": 0, \"mo_id\": \"307434295fd494ab3b303da202c94517\", \"object_id\": \"Eth-Trunk4.3004\", \"gather_time\": 1683650700000 }"; ObjectMapper objectMapper = new ObjectMapper(); Map<String, Object> data = objectMapper.readValue(jsonStr, new TypeReference<Map<String, Object>>(){}); IndexCoordinates indexCoordinates = IndexCoordinates.of("tp_portflux_ip网管_2023_05_11"); IndexQuery indexQuery = new IndexQueryBuilder().withId("your_id").withObject(data).build(); String documentId = elasticsearchRestTemplate.index(indexQuery, indexCoordinates); return documentId; 这段代码架构师写法
时间: 2023-06-19 15:08:21 浏览: 85
这段代码使用了Jackson的ObjectMapper将JSON字符串转换为Map对象,然后使用Elasticsearch RestTemplate将Map对象索引到Elasticsearch中。
具体来说,ObjectMapper.readValue()方法将JSON字符串转换为Map<String, Object>类型的data对象。然后,IndexCoordinates.of()方法将索引名称传递给IndexCoordinates对象,IndexQueryBuilder.withId()方法将文档ID设置为"your_id",IndexQueryBuilder.withObject()方法将data对象设置为文档内容,最后使用IndexQueryBuilder.build()方法创建IndexQuery对象。
最后,Elasticsearch RestTemplate的index()方法将IndexQuery对象和IndexCoordinates对象传递给Elasticsearch进行索引,并返回文档ID。