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ElasticSearch:单个索引中的多个类型

elasticsearch

Panagiotis Simakis Maksym Potapchuk · 技术社区 · 6 年前

我试图在一个索引中创建多个类型。例如,我尝试创建两种类型( host ,请 post )在 ytb 索引以便在它们之间创建父子关系。

PUT /ytb
{
  "mappings": {
      "post": {
          "_parent": {
              "type": "host" 
            },
          "properties":{
            "@timestamp": {
                  "type": "date"
              },
            "indexed": {
                  "type": "date"
              },
              "n_comments": {
                  "type": "long"
              }, 
              "n_harvested": {
                  "type": "long"
              }, 
              "n_likes": {
                  "type": "long"
              },
              "network": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              },
              "parent_id": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "post_dbid": {
                  "type": "long"
              }, 
              "post_id": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "post_netid": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "published": {
                  "type": "date"
              }
          }
      },
      "host": {
          "properties": {
              "@timestamp": {
                  "type": "date"
              }, 
              "@version": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "country": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "host_dbid": {
                  "type": "long"
              }, 
              "host_id": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "host_netid": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "id": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "indexed": {
                  "type": "date"
              }, 
              "language": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              },
              "name": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }, 
              "vertical": {
                  "fields": {
                      "keyword": {
                          "ignore_above": 256, 
                          "type": "keyword"
                      }
                  }, 
                  "type": "text"
              }
          }
      }
  }
}

但我得到了这个错误:

{
  "error": {
    "root_cause": [
      {
        "type": "illegal_argument_exception",
        "reason": "Rejecting mapping update to [ytb] as the final mapping would have more than 1 type: [post, host]"
      }
    ],
    "type": "illegal_argument_exception",
    "reason": "Rejecting mapping update to [ytb] as the final mapping would have more than 1 type: [post, host]"
  },
  "status": 400
}

更新: ElasticSearch版本:6.3.0

1 回复 | 直到 6 年前

Val 6 年前

如果您有ES 5.6或更高版本,您需要阅读此内容。总而言之,映射类型将被删除,从ES 6开始,每个索引只有一个类型将成为标准。

为了在评论中回答您的问题,我知道另一个类似于kibana的工具(实际上是kibana fork),它知道如何处理连接和关系数据。它被称为 Kibi 通过警报器解决方案。同时阅读 blog announcement .