在php的elasticsearch中优先考虑前缀匹配

在elasticsearch中，有没有一种方法可以为前缀匹配赋予比包含该单词的字符串更高的优先级

例如，如果我搜索

ram

，单词的优先级应该如下：

Ram Reddy
Joy Ram Das
Kiran Ram Goel
Swati Ram Goel
Ramesh Singh

$params = [
        "index" => $myIndex,
            "body" => [
            "settings"=> [
            "analysis"=> [
                "analyzer"=> [
                "start_with_analyzer"=> [
                    "tokenizer"=> "my_edge_ngram",
                    "filter"=> [
                    "lowercase"
                    ]
                ]
                ],
                "tokenizer"=> [
                "my_edge_ngram"=> [
                    "type"=> "edge_ngram",
                    "min_gram"=> 3,
                    "max_gram"=> 15
                ]
                ]
            ]
            ],
            "mappings"=> [
            "doc"=> [
                "properties"=> [
                "label"=> [
                    "type"=> "text",
                    "fields"=> [
                    "keyword"=> [
                        "type"=> "keyword"
                    ],
                    "ngramed"=> [
                        "type"=> "text",
                        "analyzer"=> "start_with_analyzer"
                    ]
                    ]
                ]
                ]
            ]
            ]
    ]
    ];
    $response = $client->indices()->create($params);    // create an index

$body = [
        "size" => 100,

        '_source' => $select,
        "query"=> [
            "bool"=> [
              "should"=> [
                [
                  "query_string"=> [
                    "query"=> "ram*",
                    "fields"=> [
                      "value"
                    ],
                    "boost"=> 5
                  ]
                ],
                [
                  "query_string"=> [
                    "query"=> "ram*",
                    "fields"=> [
                      "value.ngramed"
                    ],
                    "analyzer"=> "start_with_analyzer",
                    "boost"=> 2
                  ]
                ]
              ],
              "minimum_should_match"=> 1
            ]
          ]
    ];

$params = [
    'index' => $myIndex,
    'type' => $myType,
    'body' => []
];
$params['body'] = $body;
$response = $client->search($params);

我已经尝试了中给出的映射。 我是这样做的：

Ram Reddy
Joy Ram Das
Kiran Ram Goel
Swati Ram Goel
Ramesh Singh

$params = [
        "index" => $myIndex,
            "body" => [
            "settings"=> [
            "analysis"=> [
                "analyzer"=> [
                "start_with_analyzer"=> [
                    "tokenizer"=> "my_edge_ngram",
                    "filter"=> [
                    "lowercase"
                    ]
                ]
                ],
                "tokenizer"=> [
                "my_edge_ngram"=> [
                    "type"=> "edge_ngram",
                    "min_gram"=> 3,
                    "max_gram"=> 15
                ]
                ]
            ]
            ],
            "mappings"=> [
            "doc"=> [
                "properties"=> [
                "label"=> [
                    "type"=> "text",
                    "fields"=> [
                    "keyword"=> [
                        "type"=> "keyword"
                    ],
                    "ngramed"=> [
                        "type"=> "text",
                        "analyzer"=> "start_with_analyzer"
                    ]
                    ]
                ]
                ]
            ]
            ]
    ]
    ];
    $response = $client->indices()->create($params);    // create an index

$body = [
        "size" => 100,

        '_source' => $select,
        "query"=> [
            "bool"=> [
              "should"=> [
                [
                  "query_string"=> [
                    "query"=> "ram*",
                    "fields"=> [
                      "value"
                    ],
                    "boost"=> 5
                  ]
                ],
                [
                  "query_string"=> [
                    "query"=> "ram*",
                    "fields"=> [
                      "value.ngramed"
                    ],
                    "analyzer"=> "start_with_analyzer",
                    "boost"=> 2
                  ]
                ]
              ],
              "minimum_should_match"=> 1
            ]
          ]
    ];

$params = [
    'index' => $myIndex,
    'type' => $myType,
    'body' => []
];
$params['body'] = $body;
$response = $client->search($params);

像这样搜索：

Ram Reddy
Joy Ram Das
Kiran Ram Goel
Swati Ram Goel
Ramesh Singh

$params = [
        "index" => $myIndex,
            "body" => [
            "settings"=> [
            "analysis"=> [
                "analyzer"=> [
                "start_with_analyzer"=> [
                    "tokenizer"=> "my_edge_ngram",
                    "filter"=> [
                    "lowercase"
                    ]
                ]
                ],
                "tokenizer"=> [
                "my_edge_ngram"=> [
                    "type"=> "edge_ngram",
                    "min_gram"=> 3,
                    "max_gram"=> 15
                ]
                ]
            ]
            ],
            "mappings"=> [
            "doc"=> [
                "properties"=> [
                "label"=> [
                    "type"=> "text",
                    "fields"=> [
                    "keyword"=> [
                        "type"=> "keyword"
                    ],
                    "ngramed"=> [
                        "type"=> "text",
                        "analyzer"=> "start_with_analyzer"
                    ]
                    ]
                ]
                ]
            ]
            ]
    ]
    ];
    $response = $client->indices()->create($params);    // create an index

$body = [
        "size" => 100,

        '_source' => $select,
        "query"=> [
            "bool"=> [
              "should"=> [
                [
                  "query_string"=> [
                    "query"=> "ram*",
                    "fields"=> [
                      "value"
                    ],
                    "boost"=> 5
                  ]
                ],
                [
                  "query_string"=> [
                    "query"=> "ram*",
                    "fields"=> [
                      "value.ngramed"
                    ],
                    "analyzer"=> "start_with_analyzer",
                    "boost"=> 2
                  ]
                ]
              ],
              "minimum_should_match"=> 1
            ]
          ]
    ];

$params = [
    'index' => $myIndex,
    'type' => $myType,
    'body' => []
];
$params['body'] = $body;
$response = $client->search($params);

查询的json如下：

    {
  "size": 100,
  "_source": [
    "label",
    "value",
    "type",
    "sr"
  ],
  "query": {
    "bool": {
      "should": [
        {
          "query_string": {
            "query": "ram*",
            "fields": [
              "value"
            ],
            "boost": 5
          }
        },
        {
          "query_string": {
            "query": "ram*",
            "fields": [
              "value.ngramed"
            ],
            "analyzer": "start_with_analyzer",
            "boost": 2
          }
        }
      ],
      "minimum_should_match": 1,
      "must_not": {
        "match_phrase": {
          "type": "propertyValue"
        }
      }
    }
  }
}

我正在使用elasticsearch 5.3.2

---

是否有其他方法可以使用php中的搜索方法对关系数据库中的搜索结果进行排序？

除非确实需要，否则不应启用

fielddata

。要克服这个问题，可以使用子字段。 对代码进行以下更改：

                       "label"=>[
                            "type"=>"text",
                            //"fielddata"=> true, ---->remove/comment this line
                            "analyzer"=>"whitespace",
                            "fields"=>[
                                "keyword"=>[
                                    "type"=>"keyword"
                                ]
                            ]
                        ]

要按

类型

字段排序，请改用

类型.关键字

。此更改适用于

文本

类型的任何字段，并且具有类型为

关键字

的子字段（假设此字段的名称为

关键字

）。因此，更改如下：

'sort' => [
    ["type.keyword"=>["order"=>"asc"]],
    ["sr"=>["order"=>"asc"]],
    ["propLabels"=>["order"=>"asc"]],
    ["value"=>["order"=>"asc"]]
]

{
  "settings": {
    "analysis": {
      "analyzer": {
        "start_with_analyzer": {
          "tokenizer": "my_edge_ngram",
          "filter": [
            "lowercase"
          ]
        }
      },
      "tokenizer": {
        "my_edge_ngram": {
          "type": "edge_ngram",
          "min_gram": 3,
          "max_gram": 15
        }
      }
    }
  },
  "mappings": {
    "_doc": {
      "properties": {
        "name": {
          "type": "text",
          "fields": {
            "keyword": {
              "type": "keyword"
            },
            "ngramed": {
              "type": "text"
            }
          }
        }
      }
    }
  }
}

更新：索引创建和查询以获得所需的输出 创建索引，如下所示：

'sort' => [
    ["type.keyword"=>["order"=>"asc"]],
    ["sr"=>["order"=>"asc"]],
    ["propLabels"=>["order"=>"asc"]],
    ["value"=>["order"=>"asc"]]
]

{
  "settings": {
    "analysis": {
      "analyzer": {
        "start_with_analyzer": {
          "tokenizer": "my_edge_ngram",
          "filter": [
            "lowercase"
          ]
        }
      },
      "tokenizer": {
        "my_edge_ngram": {
          "type": "edge_ngram",
          "min_gram": 3,
          "max_gram": 15
        }
      }
    }
  },
  "mappings": {
    "_doc": {
      "properties": {
        "name": {
          "type": "text",
          "fields": {
            "keyword": {
              "type": "keyword"
            },
            "ngramed": {
              "type": "text"
            }
          }
        }
      }
    }
  }
}

使用以下查询获得所需结果：

{
  "query": {
    "bool": {
      "should": [
        {
          "query_string": {
            "query": "Ram",
            "fields": [
              "name"
            ],
            "boost": 5
          }
        },
        {
          "query_string": {
            "query": "Ram",
            "fields": [
              "name.ngramed"
            ],
            "analyzer": "start_with_analyzer",
            "boost": 2
          }
        }
      ],
      "minimum_should_match": 1
    }
  }
}

在上面的示例中，对于

name

中存在

Ram

的文档，使用boost值5的查询会增加分数。boost2的另一个查询进一步增加了

name

以

Ram

开头的文档的分数

订单样本：

"hits": [
  {
    "_index": "test",
    "_type": "_doc",
    "_id": "2",
    "_score": 2.0137746,
    "_source": {
      "name": "Ram Reddy"
    }
  },
  {
    "_index": "test",
    "_type": "_doc",
    "_id": "1",
    "_score": 1.4384104,
    "_source": {
      "name": "Joy Ram Das"
    }
  },
  {
    "_index": "test",
    "_type": "_doc",
    "_id": "3",
    "_score": 0.5753642,
    "_source": {
      "name": "Ramesh Singh"
    }
  }
]

---

到目前为止，你尝试了什么？@NishantSaini我想不出有什么办法可以做到这一点。我已经实现了正常的搜索。请添加索引的映射和到目前为止您尝试过的查询。这个答案可能会给您一个起点：您必须使用任何可用的php客户端进行elaticsearch，并使用该客户端创建映射等@shivank01您可以添加完整的查询吗。使用echo json_encode（$body）。抱歉，这是从数据库中删除的。但顺序还是和以前一样。我已经添加了有问题的完整查询。“Joy ram reddy”仍然显示在“ram reddy”之前。这可能是因为您在查询中指定了排序。不再考虑分数即使在删除排序部分后，编辑仍不显示所需的结果。