Elasticsearch的DSL操作命令大全（一）

阿新 • • 發佈：2019-01-10

文章目錄

前言：

以下執行命令都是基於阿里es提供的kibana。

前言：

以前在伺服器上直接使用curl命令就可以進行es的查詢，後來公司用了阿里的es後，在阿里給的伺服器上執行命令居然會報錯

[[email protected] ~]# curl -XGET es-cn-huiiiiiiiiiiiii.elasticsearch.aliyuncs.com:9200
{"error":{"root_cause":[{"type":"security_exception","reason":"missing authentication token for REST request [/]","header":{"WWW-Authenticate":"Basic realm=\"security\" charset=\"UTF-8\""}}],"type":"security_exception","reason":"missing authentication token for REST request [/]","header":{"WWW-Authenticate":"Basic realm=\"security\" charset=\"UTF-8\""}},"status":401}[ 
[email protected] ~]# timed out waiting for input: auto-logout

解決：原來是人家阿里做了相應的控制，需要輸入使用者和密碼按人家的套路才能訪問，詳情請看https://help.aliyun.com/document_detail/57877.html?spm=a2c4g.11186623.6.548.AAW08d
正確的連線姿勢：

[[email protected] ~]# curl -u hui:hui -XGET es-cn-huiiiiiiiiiiiii.elasticsearch.aliyuncs.com:9200
{
  "name" : "huihui",
  "cluster_name" : "es-cn-huiiiiiiiiiiiii",
  "cluster_uuid" : "huiiiiiiiiiiiii_iiiii",
  "version" : {
    "number" : "5.5.3",
    "build_hash" : "930huihui",
    "build_date" : "2017-09-07T15:56:59.599Z",
    "build_snapshot" : false,
    "lucene_version" : "6.6.0"
  },
  "tagline" : "You Know, for Search"
}

檢視該伺服器所有的索引資訊：

GET _cat/indices?v

獲取索引的mapping：

GET /xiao-2018-6-12/Socials/_mapping

增加：

1.增加指定欄位name的值為xiaoqiang：

POST mei_toutiao/News/AWM6zjWeB-kQcwLD8Zjp/_update?routing=news
{
    "script" : "ctx._source.name = \"xiaoqiang\""
}

刪除：

1.刪除指定欄位：

POST mei_toutiao/News/AWM6zjWeB-kQcwLD8Zjp/_update?routing=news
{
    "script" : "ctx._source.remove(\"name_of_new_field\")"
}

2.刪除一條資料：

DELETE mei_toutiao/News/AWM6zjWeB-kQcwLD8Zjp?routing=news

3.根據多個條件批量刪除：

POST mei_toutiao/News/_delete_by_query?routing=news
{
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : [
                        { "term" : { "mediaNameZh" : "5time悅讀" } }, 
                        { "term" : { "codeName" : "美髮" } }
                    ]
                }
            }
        }
    }
}

更新：

1.區域性更新：

POST mei_toutiao/News/AWM6zjWeB-kQcwLD8Zjp/_update?routing=news
{
   "doc" : {
      "userName": "hao"  //有這個欄位則修改，沒有則增加該欄位
   }
}

2.更新字串陣列：

POST mei_toutiao/News/AWPN8pLjs4TGXdjfL8_b/_update?routing=news
{
   "doc" : {
      "littleUrls": [
          "http://shishanghui.oss-cn-beijing.aliyuncs.com/700d2d2936f40fabe5a70b1449f07f9df080.jpg?x-oss-process=image/format,jpg/interlace,1",
          "http://shishanghui.oss-cn-beijing.aliyuncs.com/ed7ad5d1e23441880c59abf0cfd7a89df080.jpg?x-oss-process=image/format,jpg/interlace,1"
      ]
   }
}

3.全部更新：
（不管有沒有下面這些欄位，都變為只有下面這些內容即全部替換掉下面的，所以慎用！！！）

PUT mei_toutiao/News/AWM6zjWeB-kQcwLD8Zjp?routing=news
{
    "counter" : 1,
    "tags" : ["red"]
}

4.批量重置評論量大於0的文章的評論量為0：

POST mei_toutiao/News/_update_by_query?routing=news
{
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "atdCnt": {
              "gt": 0
            }
          }
        }
      ]
    }
  },
  "script": {
    "inline":"ctx._source.atdCnt = 0"
  }
}

5.批量增加相應欄位並賦值：

POST hui/News/_update_by_query
{
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "hui": "hehe"
                        }
                    }
                }
            }
        }
    },
    "script": {
        "inline":"ctx._source.name = \"xiaoqiang\""
    }
}

6.使用指令碼更新：
當文件存在時，把文件的counter欄位設定為3；當文件不存在時，插入一個新的文件，文件的counter欄位的值是2

POST mei_toutiao/News/AWM6zjWeB-kQcwLD8Zjp/_update?routing=news
{  
   "script":{  
      "inline":"ctx._source.counter = 3"
   },
   "upsert":{"counter":2}
}

POST mei_toutiao/News/AWM6zjWeB-kQcwLD8Zjp/_update?routing=news
{
    "script" : {
        "inline": "ctx._source.counter += 4"
    }
}

或者：

{
    "script" : {
        "inline": "ctx._source.counter += params.count",
        "lang": "painless",
        "params" : {
            "count" : 4
        }
    }
}

搜尋：

GET mei_toutiao/_search
{
    "query" : {
        "constant_score" : {
            "filter" : {             
                "term" : {
                    "_id": "AWNcz4IrB-kQcwLDJ93q"
                }
            }
        }
    }
}

注：
1.“constant_score"的用處參考https://blog.csdn.net/dm_vincent/article/details/42157577
2.match和term的區別可參考https://www.cnblogs.com/yjf512/p/4897294.html
3.term裡面也可以是資料相對應的欄位（如"newType” : 1），根據欄位查可能會返回很多條資料，但是根據_id查只會返回一條資料。

1.搜尋一條資料：

GET mei_toutiao/hui/AWNcz4IrB-kQcwLDJ93q?routing=hui

2.搜尋全部資料：

GET mei_toutiao/_search

注：可以全部搜尋到，但是預設返回10條資料

3.搜尋所有newType欄位為1的資料：

GET mei_toutiao/_search
{
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "newType": "1"
                        }
                    }
                }
            }
        }
    }
}

搜尋所有newType欄位不為1的資料：

GET mei_toutiao/_search
{
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must_not" : {
                        "term" : {
                            "newType": "1"
                        }
                    }
                }
            }
        }
    }
}

注意：

GET mei_toutiao/_search
{
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "match_phrase" : {
                            "userId": "1C210E82-21B7-4220-B267-ED3DA6635F6F"
                        }
                    }
                }
            }
        }
    }
}

上面可以查到相應的資料，而下面卻不行

GET mei_toutiao/_search
{
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "userId": "1C210E82-21B7-4220-B267-ED3DA6635F6F"
                        }
                    }
                }
            }
        }
    }
}

4.存在該欄位的文件：

GET mei_toutiao/_search
{
    "query":{
          "exists": {
                "field": "newType"
           }
    }
}

不存在該欄位的文件：

GET mei_toutiao/_search
{
    "query":{
        "bool": {
            "must_not": {
                "exists": {
                    "field": "newType"
                }
            }
        }
    }
}

5.多欄位查詢：

GET mei_toutiao/_search
{
    "size" : 0,
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : [
                        { "term" : { "sourceType" : "FORUM" } }, 
                        { "term" : { "flwCnt" : 0 } } 
                    ]
                }
            }
        }
    }
}

6.按pubTime欄位降序：升序是asc

GET mei_toutiao/_search
{
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "newType": "1"
                        }
                    }
                }
            }
        }
    }
    , "sort": [
      {
          "pubTime": "desc"
      }
    ]
}

7.視訊分類中過濾掉抖音：

GET mei_toutiao/_search
{
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "codeName": "視訊"
                        }
                    },
                    "must_not" : {
                        "term" : {
                            "mediaNameZh": "抖音"
                        }
                    }
                }
            }
        }
    }
    , "sort": [
      {
          "pubTime": "desc"
      }
    ]
}

對應的java api：

query.must(QueryBuilders.termsQuery("codeName", "視訊"))
.mustNot(QueryBuilders.matchQuery("mediaNameZh", "抖音"));
client.setQuery(fqb).addSort("pubTime", SortOrder.DESC);

分頁加排序：

client.setQuery(fqb).setFrom((message.getInt("pageNo")-1)*10).setSize(10).addSort("pubTime", SortOrder.DESC);

GET mei_toutiao/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "pubDay": {
              "gte": "2018-05-11",
              "lte": "2018-05-12"
            }
          }
        }
      ]
    }
  }
}

昨天到現在：

GET mei_toutiao/_search
{
    "query": {
        "range" : {
            "pubDay" : {
                "gte" : "now-1d/d",
                "lt" :  "now/d"
            }
        }
    }
}

按相應的時間格式查詢：

GET mei_toutiao/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "pubDay": {
              "gte": "2018-05-29 00:00:00",
              "lte": "2018-05-30 00:00:00",
              "format": "yyyy-MM-dd HH:mm:ss"
            }
          }
        }
      ]
    }
  }
}

或者：

GET mei_toutiao/_search
{
    "query": {
        "range" : {
            "pubDay" : {
                "gte": "30/05/2018",
                "lte": "2019",
                "format": "dd/MM/yyyy||yyyy"
            }
        }
    }
}

對應的java api：

QueryBuilder fqb = QueryBuilders.boolQuery().filter(new RangeQueryBuilder("pubDay").gte("2018-05-29 12:00:00").lte("2018-05-30 00:00:00").format("yyyy-MM-dd HH:mm:ss")).filter(filterQuery(message));

9.script查詢微信url欄位包含__zic的資料：

GET xiaoqiang-2018-11-6/Socials/_search
{
    "query": {
        "bool" : {
            "must" : [
                {
                    "term": {
                        "sourceType":"weixin"
                    }
                },
                {
                    "script" : {
                        "script" : "if (doc['url'].value.length() > 31) {doc['url'].value.substring(26,31) == '__biz';}"
                    }
                }
            ]
        }
    }
}

聚合統計：

GET xiao-2018-4-1/Socials/_search
{
    "size" : 0,    //取出前幾條資料
    "query" : {    //可以先使用query查詢得到需要的資料集
        "term" : {
            "website" : "微信"
        }
    },
    "aggs" : {
        "single_sum": {    //這個名字隨便起
            "sum" : { "field" : "flwCnt" }    //這個必須是number型別欄位，flwCnt欄位為關注量
        }
    }
}

注意：在執行上面命令的時候遇到了illegal_argument_exception報錯，報錯資訊如下

{
  "error": {
    "root_cause": [
      {
        "type": "illegal_argument_exception",
        "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [website] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
      }
    ],
    "type": "search_phase_execution_exception",
    "reason": "all shards failed",
    "phase": "query",
    "grouped": true,
    "failed_shards": [
      {
        "shard": 0,
        "index": "xiao-2018-4-1",
        "node": "Vux5eT5mTg2iiiiiiiiiii",
        "reason": {
          "type": "illegal_argument_exception",
          "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [website] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
        }
      }
    ]
  },
  "status": 400
}

解決：在這個website欄位後面加.keyword就可以了。
原因：原來這個website欄位是text型別，可參考https://www.cnblogs.com/duanxuan/p/6566744.html和https://segmentfault.com/a/1190000008897731

1.分類聚合：

GET mei_toutiao/_search
{
    "size" : 0,
    "aggs" : {
        "per_count" : {
           "terms" : {
              "size" : 22,    //不加這個預設只會返回10條資料
              "field" : "codeName"
           }
        }
    }
}

結果：

{
  "took": 3,
  "timed_out": false,
  "_shards": {
    "total": 10,
    "successful": 10,
    "failed": 0
  },
  "hits": {
    "total": 52766,
    "max_score": 0,
    "hits": []
  },
  "aggregations": {
    "per_count": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "視訊",
          "doc_count": 17258
        },
        {
          "key": "旅遊",
          "doc_count": 10132
        },
        {
          "key": "娛樂",
          "doc_count": 8867
        },
        {
          "key": "健康",
          "doc_count": 4247
        },
        {
          "key": "情感",
          "doc_count": 2932
        },
        {
          "key": "星座",
          "doc_count": 2281
        },
        {
          "key": "整形",
          "doc_count": 2150
        },
        {
          "key": "美容",
          "doc_count": 2012
        },
        {
          "key": "親子",
          "doc_count": 861
        },
        {
          "key": "國學",
          "doc_count": 444
        },
        {
          "key": "藝術",
          "doc_count": 442
        },
        {
          "key": "搭配",
          "doc_count": 393
        }
      ]
    }
  }
}

注：可參考官網https://www.elastic.co/guide/cn/elasticsearch/guide/current/cardinality.html

2.sourceType欄位為論壇的媒體名稱聚合：

GET xiao-2018-4-1/Socials/_search
{
    "size" : 0,
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "sourceType" : "FORUM"
                        }
                    }
                }
            }
        }
    },
    "aggs" : {
        "per_count" : {
           "terms" : {
              "size" : 10000,
              "field" : "website.keyword"
           }
        }
    }
}

3.根據name欄位聚合，並且得出每個分類下的最大閱讀量：

GET xiao-2018-4-1/Socials/_search
{
    "size" : 0,
    "aggs" : {
        "per_count" : {
           "terms" : {
              "size" : 10000,
              "field" : "name"
           },
           "aggs" : {
                "max_count" : {
                    "max" : {
                       "field" : "view"
                    }
                }
            }
        }
    }
}

4.查詢平媒最近每天的日更量+有多少資料來源（聚合結果去重排序）：

GET xiao-2018-4-1/News/_search
{
    "size" : 0,
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : [
                        {
                            "term" : {
                               "mediaTname": "平媒"
                            }
                        },
                        {
                            "range": {
                                "pubDay": {
                                    "gt": "2018-08-31",
                                    "lt": "2018-09-09"
                                }
                            }
                        }
                    ]
                }
            }
        }
    },
    "aggs" : {
        "all_interests" : {
            "terms" : {
                "field" : "pubDay",
                "order" : { "distinct_mediaNameZh" : "desc" }
            },
            "aggs" : {
                "distinct_mediaNameZh" : {
                    "cardinality" : {
                       "field" : "mediaNameZh"
                    }
                }
            }
        }
    }
}

結果：

{
  "took": 1067,
  "timed_out": false,
  "_shards": {
    "total": 350,
    "successful": 350,
    "failed": 0
  },
  "hits": {
    "total": 98312,
    "max_score": 0,
    "hits": []
  },
  "aggregations": {
    "all_interests": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": 1536278400000,
          "key_as_string": "2018-09-07",
          "doc_count": 20946,
          "distinct_mediaNameZh": {
            "value": 389
          }
        },
        {
          "key": 1535932800000,
          "key_as_string": "2018-09-03",
          "doc_count": 14651,
          "distinct_mediaNameZh": {
            "value": 383
          }
        },
        {
          "key": 1536019200000,
          "key_as_string": "2018-09-04",
          "doc_count": 18325,
          "distinct_mediaNameZh": {
            "value": 381
          }
        },
        {
          "key": 1536192000000,
          "key_as_string": "2018-09-06",
          "doc_count": 20659,
          "distinct_mediaNameZh": {
            "value": 378
          }
        },
        {
          "key": 1536105600000,
          "key_as_string": "2018-09-05",
          "doc_count": 12752,
          "distinct_mediaNameZh": {
            "value": 321
          }
        },
        {
          "key": 1536364800000,
          "key_as_string": "2018-09-08",
          "doc_count": 8071,
          "distinct_mediaNameZh": {
            "value": 246
          }
        },
        {
          "key": 1535760000000,
          "key_as_string": "2018-09-01",
          "doc_count": 1706,
          "distinct_mediaNameZh": {
            "value": 147
          }
        },
        {
          "key": 1535846400000,
          "key_as_string": "2018-09-02",
          "doc_count": 1202,
          "distinct_mediaNameZh": {
            "value": 112
          }
        }
      ]
    }
  }
}

注：
1.根據查詢到文件數量排序

"order" : {  "_count" : "desc" }

api：

.order(Terms.Order.count(true));

2.根據聚合欄位排序（讓結果按pubDay欄位排序，該欄位類似"2018-08-24"）

"order" : {  "_term" : "desc" }

api：

AggregationBuilder aggregationBuilder = AggregationBuilders.terms("timeinterval")
					.script(new Script("String he=new SimpleDateFormat('HH').format(new Date(doc['timeHour'].value)); if(he.equals('01')){return he;}else{return null;}"))
					.size(24).order(Terms.Order.term(false));

注意：(1)fase表示desc，true表示asc (2).script也可換成.field(“timeHour”)
3.根據子聚合結果排序

"order" : { "distinct_mediaNameZh" : "desc" }

api：

.order(Terms.Order.aggregation("distinct_mediaNameZh", true));

5.sourceType欄位為論壇的媒體名稱聚合：
（並且每個媒體名稱取出一個文章的url連結）

GET xiao-2018-4-1/Socials/_search
{
    "size" : 0,
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "sourceType" : "FORUM"
                        }
                    }
                }
            }
        }
    },
    "aggs" : {
        "all_interests" : { 
            "terms" : {
                "size" : 10000,   //這個語句是沒有問題，但是這麼大的量扛不住（巢狀聚合導致處理的資料量指數型爆炸增加），總是報連線超時
                "field" : "website.keyword" 
            }, 
            "aggs" : {
                "per_count" : {    //這個欄位名字隨意取
                    "terms" : {
                       "size" : 1,
                       "field" : "url"
                    }
                }
            }
        }
    }
}

解決上面的效能問題（轉換思路）：

GET xiao-2018-4-1/Socials/_search
{
    "size" : 0,
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "sourceType" : "FORUM"
                        }
                    }
                }
            }
        }
    },
    "aggs" : {
        "all_interests" : { 
            "terms" : {
                "size" : 10000,
                "field" : "website.keyword" 
            }, 
            "aggs": {
                "top_age": {
                    "top_hits": {
                        "_source": {
                            "includes": [
                                "url"
                             ]
                        },
                        "size": 1
                    }
                }
            }
        }
    }
}

全域性桶：

GET xiao-2018-4-1/Socials/_search
{
    "size" : 0,
    "query" : {
        "constant_score" : {
            "filter" : {
                "bool" : {
                    "must" : {
                        "term" : {
                            "sourceType" : "FORUM"
                        }
                    }
                }
            }
        }
    },
    "aggs" : {
        "per_count": {
            "terms" : { "field" : "website.keyword" } 
        },
        "all": {
            "global" : {}, 
            "aggs" : {
                "per_count": {
                    "terms" : { "field" : "website.keyword" } 
                }
            }
        }
    }
}

合併查詢語句：

{
    "bool": {
        "must": { "match":   { "email": "business opportunity" }},
        "should": [
            { "match":       { "starred": true }},
            { "bool": {
                "must":      { "match": { "folder": "inbox" }},
                "must_not":  { "match": { "spam": true }}
            }}
        ],
        "minimum_should_match": 1
    }
}

注：上面這個語句邏輯比較複雜需要好好思考一下（找出信件正文包含business opportunity的星標郵件，或者在收件箱正文包含business opportunity的非垃圾郵件），該列子來自官網https://www.elastic.co/guide/cn/elasticsearch/guide/current/query-dsl-intro.html

返回指定的欄位：

1.store：返回有newType欄位資料的codeName和view的內容

GET mei_toutiao/_search
{
    "stored_fields" : ["codeName", "view"],
    "query":{
          "exists": {
                "field": "newType"
           }
    }
}

SearchRequestBuilder request = getTransportClient().prepareSearch(esProperties.getES_Index()).setTypes(type)
				.setRouting(routing).storedFields(new String[] {"titleZh", "uuid"});

參考：https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-stored-fields.html
前提：mapping中相應的欄位store引數為true
（參考https://blog.csdn.net/napoay/article/details/73100110?locationNum=9&fps=1#323-store）預設情況下，自動是被索引的也可以搜尋，但是不儲存，這也沒關係，因為_source欄位裡面儲存了一份原始文件。在某些情況下，store引數有意義，比如一個文件裡面有title、date和超大的content欄位，如果只想獲取title和date，可以這樣：

PUT my_index
{
  "mappings": {
    "my_type": {
      "properties": {
        "title": {
          "type": "text",
          "store": true 
        },
        "date": {
          "type": "date",
          "store": true 
        },
        "content": {
          "type": "text"
        }
      }
    }
  }
}

PUT my_index/my_type/1
{
  "title":   "Some short title",
  "date":    "2015-01-01",
  "content": "A very long content field..."
}

GET my_index/_search
{
  "stored_fields": [ "title", "date" ] 
}

查詢結果：

{
  "took": 1,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 1,
    "max_score": 1,
    "hits": [
      {
        "_index": "my_index",
        "_type": "my_type",
        "_id": "1",
        "_score": 1,
        "fields": {
          "date": [
            "2015-01-01T00:00:00.000Z"
          ],
          "title": [
            "Some short title"
          ]
        }
      }
    ]
  }
}

Stored fields返回的總是陣列，如果想返回原始欄位，還是要從_source中取。
注意：在java程式碼中需要將field放在陣列中，否則只會返回陣列中的第一個

JSONObject hitJson = JSONObject.fromObject(hit.getFields());
String[] fields = [ "keywordsZh", "littleUrls"];
for (Object field : fields) {
    if (hit.getFields().containsKey(field)) {
        if (field.equals("keywordsZh")) {
						@SuppressWarnings("unchecked")
						List<String> keywordsZh = (List<String>) hitJson.getJSONObject(field.toString()).get("values");
						json.put(field, keywordsZh);
//						json.put(field, hitJson.getJSONObject(field.toString()).get("value")); // 只返回該陣列的第一個值
			  }
		}
}

2.返回一個指定的欄位：

GET mei_toutiao/_search
{
    "_source": "newType",
    "query":{
          "term": {
                "uuid": "b6a0d42731c94db1a75383c192b5544a"
           }
    }
}

或者：

GET mei_toutiao/_search
{
    "_source": {
        "includes": "newType"
    },
    "query":{
        "term": {
            "uuid": "b6a0d42731c94db1a75383c192b5544a"
        }
    }
}

3.只返回newType和keywordsZh欄位：

GET mei_toutiao/_search
{
    "_source": [ "newType", "keywordsZh" ]
}

或者：

GET mei_toutiao/_search
{
    "_source": {
        "includes": [ "newType", "keywordsZh" ]
    }
}

4.返回欄位字首名為t的：

GET mei_toutiao/_search
{
    "_source": "t*"
}

5.返回除newType和keywordsZh欄位的：

GET mei_toutiao/_search
{
    "_source": {
        "excludes": [ "newType", "keywordsZh" ]
    }
}

SearchRequestBuilder request = getTransportClient().prepareSearch(esProperties.getES_Index()).setTypes(type)
				.setRouting(routing).setFetchSource(new String[] {"titleZh", "uuid"} , null);

注：如果同時存在includes和excludes則取他兩的交集

Elasticsearch的DSL操作命令大全（一）

文章目錄

前言：

增加：

刪除：

更新：

搜尋：

聚合統計：

全域性桶：

合併查詢語句：

返回指定的欄位：

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文章目錄

前言：

增加：

刪除：

更新：

搜尋：

聚合統計：

全域性桶：

合併查詢語句：

返回指定的欄位：

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