spring-boot - 在ElasticSearch中不使用脚本即可追加字符串

Question

我需要在不使用脚本的情况下在文档的现有字段中附加字符串。
我的文档有一个字段“Field1”，当前具有value1。我想通过将value2附加到“Field1”来更新文档，以便将该字段的值更新为“value1value2”。
使用脚本可以很容易地做到这一点。但是，还有其他选择可以实现这一目标。我也只想使用update / update_by_query语句。

Answer 1

正如@joe建议的那样，您需要在摄取时执行此操作，但是，您可以创建一个管道作为建议。我使用附加处理器和连接处理器进行了本地测试。首先，我附加了field1的值和field2的值，然后在以名称append_fields创建的数组上使用联接处理器。
我在索引“append_index”中摄取了以下值，
“field1”:“value1”，
“field2”:“value2”
“field1”:“value10”，
“field2”:“value11”
我建议您创建以下管道(append_values)，然后使用_update_by_query运行它:

PUT _ingest/pipeline/append_values
{
  "processors": [
    {
      "append": {
        "field": "append_fields",
        "value": [
          "{{field1}}",
          "{{field2}}"
        ]
      }
    },
    {
      "join": {
        "field": "append_fields",
        "separator": ""
      }
    }
  ]
}

要在 _update__by_query中使用管道，请使用以下命令: POST append_index/_update_by_query?pipeline=append_values响应将是:

"hits" : [
  {
    "_index" : "append_index",
    "_type" : "_doc",
    "_id" : "_9ovaHQBsTCl1BZv7qhZ",
    "_score" : 1.0,
    "_source" : {
      "field1" : "value1",
      "append_fields" : "value1value2",
      "field2" : "value2"
    }
  },
  {
    "_index" : "append_index",
    "_type" : "_doc",
    "_id" : "AdovaHQBsTCl1BZv9ak1",
    "_score" : 1.0,
    "_source" : {
      "field1" : "value10",
      "append_fields" : "value10value11",
      "field2" : "value11"
    }
  }
]

链接:
https://www.elastic.co/guide/en/elasticsearch/reference/7.9/append-processor.html
https://www.elastic.co/guide/en/elasticsearch/reference/7.9/join-processor.html
https://www.elastic.co/guide/en/elasticsearch/reference/7.9/pipeline.html
https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-update-by-query.html
希望我的建议有帮助:)
如果需要帮助以了解附加处理器的功能，这是不使用联接处理器执行附加处理器的输出:

"hits" : [
  {
    "_index" : "append_index",
    "_type" : "_doc",
    "_id" : "G9o9aHQBsTCl1BZvMcv6",
    "_score" : 1.0,
    "_source" : {
      "field1" : "value1",
      "append_fields" : [
        "value1",
        "value2"
      ],
      "field2" : "value2"
    }
  },
  {
    "_index" : "append_index",
    "_type" : "_doc",
    "_id" : "edo9aHQBsTCl1BZvP8vT",
    "_score" : 1.0,
    "_source" : {
      "field1" : "value10",
      "append_fields" : [
        "value10",
        "value11"
      ],
      "field2" : "value11"
    }
  }
]