String jsonStr = "{ "kpi1": { "value": 211213, "type": "keyword" }, "kpi2": 645343, "kpi3": 121, "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 }"; 转义一下
时间: 2023-06-24 20:04:53 浏览: 108
String jsonStr = "{ \"kpi1\": { \"value\": 211213, \"type\": \"keyword\" }, \"kpi2\": 645343, \"kpi3\": 121, \"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 }";
相关问题
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; 优化这段代码
1. 将 JSON 字符串转换为 Map 对象时,可以使用 fasterxml.jackson.databind.JsonNode 类型代替 Map<String, Object> 类型,更加灵活,具体可以参考下面的示例代码:
```
JsonNode data = objectMapper.readTree(jsonStr);
```
2. 在创建 IndexQuery 对象时,可以直接传入 JSON 字符串,无需转换为 Map 对象或 JsonNode 对象,具体可以参考下面的示例代码:
```
IndexQuery indexQuery = new IndexQueryBuilder()
.withId("your_id")
.withSource(jsonStr)
.build();
```
3. 如果需要在多个地方使用 IndexCoordinates 对象,可以将其封装为常量或静态变量,避免重复创建对象,提高性能,具体可以参考下面的示例代码:
```
private static final IndexCoordinates INDEX_COORDINATES = IndexCoordinates.of("tp_portflux_ip网管_2023_05_11");
```
综上所述,优化后的代码如下:
```
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 }";
IndexQuery indexQuery = new IndexQueryBuilder()
.withId("your_id")
.withSource(jsonStr)
.build();
String documentId = elasticsearchRestTemplate.index(indexQuery, INDEX_COORDINATES);
return documentId;
```
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
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。
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