返回結果屬性：took：查詢結果花費的時間（ms）timed_out：是否超時_shards：分片資訊：{total：總共的分片數，successful：成功查詢的分片數：skipped跳過查詢的分片數，failed：查詢失敗的分片數}hits：返回結果資訊：{total：返回的結果總數,max_score：最大文件分數，hits：返回真實的結果：{_index：索引，_type：型別，_id：id，_score：文件分數，_source：文件的fields}}_score：稱為文件分數（搜尋結果中的_score欄位）。分數是一個數字值，它是文件與我們指定的搜尋查詢匹配程度的相對度量。分數越高，文件越相關，分數越低，文件的相關性越低。response filtering（響應過濾）所有REST API接受一個filter_path引數，可以用來減少elasticsearch返回的響應。 此引數以逗號分隔的以點表示法表示的過濾器列表：例如：1.curl -XGET 'localhost:9200/_search?q=elasticsearch&filter_path=took,hits.hits._id,hits.hits._score&pretty'Responds：{  "took" : 3,  "hits" : {    "hits" : [      {        "_id" : "0",        "_score" : 1.6375021      }    ]  }}2.它還支援*萬用字元匹配任何欄位或欄位名稱的一部分：curl -XGET 'localhost:9200/_cluster/state?filter_path=metadata.indices.*.stat*&pretty'Responds{  "metadata" : {    "indices" : {      "twitter": {"state": "open"}    }  }}3.並且**萬用字元可用於包括不知道確切路徑的fields。 curl -XGET 'localhost:9200/_cluster/state?filter_path=routing_table.indices.**.state&pretty'Responds：{  "routing_table": {    "indices": {      "twitter": {        "shards": {          "0": [{"state": "STARTED"}, {"state": "UNASSIGNED"}],          "1": [{"state": "STARTED"}, {"state": "UNASSIGNED"}],          "2": [{"state": "STARTED"}, {"state": "UNASSIGNED"}],          "3": [{"state": "STARTED"}, {"state": "UNASSIGNED"}],          "4": [{"state": "STARTED"}, {"state": "UNASSIGNED"}]        }      }    }  }}4.你也可以通過字元“-”作為字首去排除一個或多個fields：GET /_count?filter_path=-_shardsResponds：   {  "count" : 5}5.為了更多的控制，包含和排他的過濾器可以在同一表示式中組合。 在這種情況下，將首先應用排他過濾器，並使用包含的過濾器再次對結果進行過濾：curl -XGET 'localhost:9200/_cluster/state?filter_path=metadata.indices.*.state,-metadata.indices.logstash-*&pretty'Responds：{  "metadata" : {    "indices" : {      "index-1" : {"state" : "open"},      "index-2" : {"state" : "open"},      "index-3" : {"state" : "open"}    }  }}Keyed Response將“key”設定為true（"keyed": true）可將唯一的字串鍵與每個儲存桶相關聯，並將範圍作為雜湊值而不是陣列返回：1.curl -XPOST 'localhost:9200/sales/_search?size=0&pretty' -H 'Content-Type: application/json' -d'{    "aggs": {        "range": {            "date_range": {                "field": "date",                "format": "MM-yyy",                "ranges": [                    { "to": "now-10M/M" },                    { "from": "now-10M/M" }                ],                "keyed": true            }        }    }}'Response：{    ...    "aggregations": {        "range": {            "buckets": {                "*-10-2015": {                    "to": 1.4436576E12,                    "to_as_string": "10-2015",                    "doc_count": 7                },                "10-2015-*": {                    "from": 1.4436576E12,                    "from_as_string": "10-2015",                    "doc_count": 0                }            }        }    }}2.也可以自定義每個範圍的鍵：POST /sales/_search?size=0{    "aggs": {        "range": {            "date_range": {                "field": "date",                "format": "MM-yyy",                "ranges": [                    { "from": "01-2015",  "to": "03-2015", "key": "quarter_01" },                    { "from": "03-2015", "to": "06-2015", "key": "quarter_02" }                ],                "keyed": true            }        }    }}Response：{    ...    "aggregations": {        "range": {            "buckets": {                "quarter_01": {                    "from": 1.4200704E12,                    "from_as_string": "01-2015",                    "to": 1.425168E12,                    "to_as_string": "03-2015",                    "doc_count": 5                },                "quarter_02": {                    "from": 1.425168E12,                    "from_as_string": "03-2015",                    "to": 1.4331168E12,                    "to_as_string": "06-2015",                    "doc_count": 2                }            }        }    }}