es - elasticsearch mapping - field data type - 21

世界上并没有完美的程序，但是我们并不因此而沮丧，因为写程序就是一个不断追求完美的过程。

问 ：sparse_vector有什么特点？
答 :

问 ：sparse_vector如何使用？
答 ：

# sparse_vector
PUT /sparse_vector_test
{
  "mappings" : {
    "properties" : {
      "my_sparse_vector" : {
        "type" : "sparse_vector"
      },
      "status" : {"type" : "integer"}
    }
  }
}

# 索引
POST /sparse_vector_test/_doc
{
  "my_sparse_vector" : {"1": 0.6, "5": -0.8,  "100": 3},
  "status"           : 1
}

# 索引
POST /sparse_vector_test/_doc
{
  "my_sparse_vector" : {"1": 0.5, "5": -0.5,  "100": 1},
  "status"           : 1
}

# 索引
POST /sparse_vector_test/_doc
{
  "my_sparse_vector" : {"1": 0.9, "5": -1.8,  "100": 5},
  "status"           : 1
}

# 搜索
GET /sparse_vector_test/_search
{
  "query" : {
    "script_score" : {
      "query"  : {
        "bool" : {
          "filter" : {
            "term" : {
              "status" : 1
            }
          } 
        }
      },
      "script" : {
        "source" : "cosineSimilaritySparse(params.query_vector,'my_sparse_vector') + 1.0",
        "params" : {
          "query_vector" : {"1": 0.5, "5": -0.5,  "100": 1}
        }
      }
    }
  }
}

# 结果
{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 3,
      "relation" : "eq"
    },
    "max_score" : 2.0,
    "hits" : [
      {
        "_index" : "sparse_vector_test",
        "_type" : "_doc",
        "_id" : "TWdCbHgBVbS9eSDZku5x",
        "_score" : 2.0,
        "_source" : {
          "my_sparse_vector" : {
            "1" : 0.5,
            "5" : -0.5,
            "100" : 1
          },
          "status" : 1
        }
      },
      {
        "_index" : "sparse_vector_test",
        "_type" : "_doc",
        "_id" : "TmdCbHgBVbS9eSDZne5Y",
        "_score" : 1.9619555,
        "_source" : {
          "my_sparse_vector" : {
            "1" : 0.9,
            "5" : -1.8,
            "100" : 5
          },
          "status" : 1
        }
      },
      {
        "_index" : "sparse_vector_test",
        "_type" : "_doc",
        "_id" : "TGdCbHgBVbS9eSDZiO4r",
        "_score" : 1.9553359,
        "_source" : {
          "my_sparse_vector" : {
            "1" : 0.6,
            "5" : -0.8,
            "100" : 3
          },
          "status" : 1
        }
      }
    ]
  }
}