ElasticSearch :: ceating 索引和文档时出现异常

Question

我是 ElasticSearch 的新手，并试图执行他们主页中提到的示例，我在那里遇到了这个错误 -

{
    "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和body如下-

URL -> 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. Nodesettings必须只有两个孩子：index和analysis。节点mappings必须是根级。
2. 字段name类型无效string，必须是textor keyword。因为您需要分析此字段，所以应该是text您的情况。

所以ES 版本 6.x 的工作查询（在问题发生时是最新的）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，映射类型从索引定义中删除，因此上面的查询在 ES 7.x 中不起作用。

ES 7.x 版的工作查询可以是两种类型：

1. 如果索引应仅包含有关员工的数据，则可以简单地删除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. 如果索引应该包含有关员工的数据和其他一些数据，您可以使用employeeas对象类型的字段，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": {
         "employee": {
           "properties": {
             "age": {
               "type": "long"
             },
             "experience": {
               "type": "long"      
             },
             "name": {
               "type": "text",
               "analyzer": "analyzer-name"
             }
           }
         }
       }
     }
   }