Question

我必须使用_id作为消息中多个字段的组合来增加弹性搜索索引中的批量记录。我可以这样做吗？如果可以做到的话，请给我一个相同的示例json。问候

一个示例_id字段，我正在寻找类似下面的内容

        {
            "_index": "kpi_aggr",
            "_type": "KPIBackChannel",
            "_id": "<<<combination of name , period_type>>>",
            "_score": 1,
            "_source": {
                "name": "kpi-v1",
                "period_type": "w",
                "country": "AL",
                "pg_name": "DENTAL CARE",
                "panel_type": "retail",
                "number_of_records_with_proposal": 10000,
                "number_of_proposals": 80000,
                "overall_number_of_records": 2000,
                "@timestamp": 1442162810
            }
        }

Answer 1

自然地，您可以在调用Index API的过程中指定自己的Elasticsearch文档ID：

PUT kpi_aggr/KPIBackChannel/kpi-v1,w
{
  "name": "kpi-v1",
  "period_type": "w",
  "country": "AL",
  "pg_name": "DENTAL CARE",
  "panel_type": "retail",
  "number_of_records_with_proposal": 10000,
  "number_of_proposals": 80000,
  "overall_number_of_records": 2000,
  "@timestamp": 1442162810
}

您也可以在_bulk API call期间这样做：

POST _bulk
{ "index" : { "_index" : "kpi_aggr", "_type" : "KPIBackChannel", "_id" : "kpi-v1,w" } }
{"name":"kpi-v1","period_type":"w","country":"AL","pg_name":"DENTAL CARE","panel_type":"retail","number_of_records_with_proposal":10000,"number_of_proposals":80000,"overall_number_of_records":2000,"@timestamp":1442162810}

请注意，Elasticsearch将用新版本替换文档。

如果您在空索引上执行这两个查询，然后按文档ID查询：

GET kpi_aggr/KPIBackChannel/kpi-v1,w

将为您提供以下内容：

{
  "_index": "kpi_aggr",
  "_type": "KPIBackChannel",
  "_id": "kpi-v1,w",
  "_version": 2,
  "found": true,
  "_source": {
    "name": "kpi-v1",
    "period_type": "w",
    "country": "AL",
    "pg_name": "DENTAL CARE",
    "panel_type": "retail",
    "number_of_records_with_proposal": 10000,
    "number_of_proposals": 80000,
    "overall_number_of_records": 2000,
    "@timestamp": 1442162810
  }
}

通知"_version": 2，在我们的情况下，该通知指示文档已被索引两次，因此执行了“ upsert”（但通常应用于Optimistic Concurrency Control）。

希望有帮助！

具有复杂_id字段的弹性serach记录ups

1 个答案: