关于前端:springbootelasticsearch对nested集合类型的字段进行不等于的检索

对于es的数据类型来说，如果它是一个简单类型，而咱们须要把简单类型进行检索，那么应该定义成 nested 类型，而对于它的检索，如果是非汇合数据，它与其它类型没有别离；而如果你的nested存储的数据是一个汇合，那在进行不等于这种操作时，就须要阐明一下了。

举例子

"id": "1",
"operate": [
  {
  "actionTime": "2017-03-21 11:57:37.700",
  "operateType": "WangLu",
  "wordNum": "3188",
  "userName": "zidongluru"
  },
  {
  "actionTime": "2017-03-21 11:57:37.700",
  "operateType": "DaoRu",
  "wordNum": "3188",
  "userName": "qinbixue1609"
  }
]

对于下面的数据，其中operate是一个nested类型的，它存储数据为一个汇合，咱们查问operateType不等于WangLu的数据，如果间接应用not_must配合term，那后果是不对的，它会把这个文档失常返回，为什么？按说这个operate里是蕴含了 WangLu 的，如果蕴含它是不应该返回的；这就是es检索nested汇合解决不等于的问题，当会查问所有汇合中的元素，有一个不等于 WangLu 的，它就认为是不等于的，这与咱们的需要不合乎，所以要想其它办法。

script脚本检索nested汇合失败

{
  "size": 5,
   "_source": [
    "Gid",
    "Type",
    "operate"
  ],
  "query": {
    "bool": {
      "must": [
        {
          "nested": {
            "path": "operate",
            "query": {
              "script": {
                "script": "doc['operate.operateType'].stream().map(o->o).filter(o->o=='YiJiaoSu').count()==0"
               }
            }
          }
        },
        {
          "term": {
            "Gid": "1970325267114815"
          }
        }
      ]
    }
  }
}

应用function形式解决了这个问题

• 参考

  https://cloud.tencent.com/developer/article/1973186

  https://cloud.tencent.com/developer/article/1973186

  https://stackoverflow.com/questions/54022283/elasticsearch-search-query-why-params-source-nested-field-size-is-not-workin

  {
    "size": 5,
    "_source": [
  "Gid",
  "Type",
  "operate"
    ],
    "query": {
  "bool": {
    "must": [
      {
        "function_score": {
          "query": {
            "match_all": {}
          },
          "functions": [
            {
              "script_score": {
                "script": {
                  "source": "params._source.operate.stream().map(o->o.operateType).filter(o->o=='YiJiaoSu').count()==0 ? 1 : 0"
                }
              }
            }
          ],
          "min_score": 1
        }
      },
      {
        "term": {
          "Id": "1970325267114815"
        }
      }
    ]
  }
    }
  }

  这种因为是汇合里的汇合再检索，所以须要和其它检索条件一起用，全表检索，性能比拟差。

翻译成java客户端代码

String val = "条件";
  String name = "nested外部字段名";
  String scoreStr = "params._source.operate==null || params._source.operate.stream().map(o->o." + name + ").filter(o->o=='" + val + "').count()==0? 1 : 0";
  Script sc = new Script(ScriptType.INLINE, Script.DEFAULT_SCRIPT_LANG, scoreStr, MapUtil.empty());
  ScriptScoreFunctionBuilder builder = new ScriptScoreFunctionBuilder(sc);
  FunctionScoreQueryBuilder scoreBuilder = QueryBuilders.functionScoreQuery(builder);
  scoreBuilder.setMinScore(1);
  scoreBuilder.scoreMode(FunctionScoreQuery.ScoreMode.FIRST);
  queryIncludeBuilder.must(scoreBuilder);