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;