ElasticSearch::Exception 同时创建索引和文档

Question

我是 ElasticSearch 的新手，正在尝试执行他们主页中提到的示例，但我遇到了这个错误 -

{
    "error": {
        "root_cause": [
            {
                "type": "illegal_argument_exception",
                "reason": "unknown setting [index.mappings.employee.properties.age.type] please check that any required plugins are installed, or check the breaking changes documentation for removed settings"
            }
        ],
        "type": "illegal_argument_exception",
        "reason": "unknown setting [index.mappings.employee.properties.age.type] please check that any required plugins are installed, or check the breaking changes documentation for removed settings",
        "suppressed": [
            {
                "type": "illegal_argument_exception",
                "reason": "unknown setting [index.mappings.employee.properties.experience.type] please check that any required plugins are installed, or check the breaking changes documentation for removed settings"
            },
            {
                "type": "illegal_argument_exception",
                "reason": "unknown setting [index.mappings.employee.properties.name.analyzer] please check that any required plugins are installed, or check the breaking changes documentation for removed settings"
            },
            {
                "type": "illegal_argument_exception",
                "reason": "unknown setting [index.mappings.employee.properties.name.type] please check that any required plugins are installed, or check the breaking changes documentation for removed settings"
            }
        ]
    },
    "status": 400
}

post请求的url&body如下-

网址-> http://localhost:9200/company body ->

{
  "settings": {
    "index": {
       "number_of_shards": 1,
       "number_of_replicas": 1
    },
    "analysis": {
      "analyzer": {
        "analyzer-name": {
          "type": "custom",
          "tokenizer": "keyword",
          "filter": "lowercase"
        }
      }
    },
    "mappings": {
      "employee": {
        "properties": {
          "age": {
            "type": "long"
          },
          "experience": {
            "type": "long"      
          },
          "name": {
            "type": "string",
            "analyzer": "analyzer-name"
          }
        }
      }
    }
  }  
}

如何修复错误？

Answer 1

您的 JSON 正文对象的语法有两个错误:

1. 节点 settings 必须只有两个 child :index 和 analysis。节点 mappings 必须是根级的。
2. 字段 name 的类型 string 无效，它必须是 text 或 keyword。因为你需要分析这个字段，所以在你的情况下它应该是 text。

因此 ES 版本 6.x 的工作查询(在提出问题时是最新的)应该是这样的:

{
  "settings": {
    "index": {
       "number_of_shards": 1,
       "number_of_replicas": 1
    },
    "analysis": {
      "analyzer": {
        "analyzer-name": {
          "type": "custom",
          "tokenizer": "keyword",
          "filter": "lowercase"
        }
      }
    }
  },
  "mappings": {
    "employee": {
      "properties": {
        "age": {
          "type": "long"
        },
        "experience": {
          "type": "long"      
        },
        "name": {
          "type": "text",
          "analyzer": "analyzer-name"
        }
      }
    }
  }
}

从ES 7.0版本开始，映射类型was removed来自索引定义，所以上面的查询在 ES 7.x 中不起作用。

ES 版本 7.x 的工作查询可能有两种类型:

1. 如果索引应该只包含关于员工的数据，您可以简单地删除 employee 映射类型，查询将如下所示:

   {
     "settings": {
       "index": {
         "number_of_shards": 1,
         "number_of_replicas": 1
       },
       "analysis": {
         "analyzer": {
           "analyzer-name": {
             "type": "custom",
             "tokenizer": "keyword",
             "filter": "lowercase"
           }
         }
       }
     },
     "mappings": {
       "properties": {
         "age": {
           "type": "long"
         },
         "experience": {
           "type": "long"      
         },
         "name": {
           "type": "text",
           "analyzer": "analyzer-name"
         }
       }
     }
   }
   

2. 如果索引应该包含关于员工的数据和一些其他数据，您可以使用employee 作为object type 的字段查询将是这样的:

   {
     "settings": {
       "index": {
         "number_of_shards": 1,
         "number_of_replicas": 1
       },
       "analysis": {
         "analyzer": {
           "analyzer-name": {
             "type": "custom",
             "tokenizer": "keyword",
             "filter": "lowercase"
           }
         }
       }
     },
     "mappings": {
       "properties": {
         "employee": {
           "properties": {
             "age": {
               "type": "long"
             },
             "experience": {
               "type": "long"      
             },
             "name": {
               "type": "text",
               "analyzer": "analyzer-name"
             }
           }
         }
       }
     }
   }