我正在尝试在单个索引中创建多个类型。例如，我试图在chủ nhà索引中创建两种类型(bưu kiện,ytb)，以便在它们之间创建父子关系。

PUT /ytb
{
  "mappings": {
      "post": {
          "_parent": {
              "type": "host" 
            },
          "của cải":{
            "@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"
              }
          }
      }
  }
}

{
  "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
}

1 Câu trả lời

如果您的ES 5.6或更高版本，则需要阅读此内容。综上所述，从ES 6开始，将删除映射类型，并且每个索引仅一种类型将成为标准。

为了在评论中回答您的问题，我知道另一个类似Kibana的工具(实际上是Kibana fork )，它知道如何处理JOIN和关系数据。它被Siren Solutions称为Kibi。另请阅读blog announcement.

关于elasticsearch - elasticsearch:单个索引中的多种类型，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/51056529/