问题描述：
    媒资库搜索”we”，但存储在es中text类型的title字段值”wewe”，使用match:{“title”:”we”}搜索不出来；
    原因：

    1. 查看了该条记录的title字段分词情况，“wewe”没有被分词；
    2. 查看该mapping使用的分词器
    3. 查看查询的参数分词，”we”没有被分词
    4. “we”匹配不上”wewe”，因为后者没有被拆词

    解决：

    1. 使用wildcard语法代替match，利用正则表达式实现在mysql中模糊匹配效果；
    2. 如果产品要求仍保留ES打分效果（更智能的查询），可以使用 MUST:{should:[],should:[]}，在保证1的情况下，扩展2的数据

    使用match查询，会对参数进行分词 Like the match query, the match_phrase query first analyzes the query string to produce a list of terms. It then searches for all the terms, but keeps only documents that contain all of the search terms, in the same positions relative to each other. ——摘录自官网

    另外，多用filter代替match，match会涉及到打分score

    分词器：ik_max_word、smart

    match查询keyword，全词匹配 match查询text字段，match参数、text都分词，只要match得分词结构和text得分词结果有相同就匹配

    1. 查看分词情况 ```json

    { “_index”: “cms_index”, “_type”: “cms_media”, “_id”: “a751b867857c4eb38df701c7b142f736”, “_version”: 3, “found”: true, “took”: 12, “term_vectors”: { “searchAll”: { “field_statistics”: { “sum_doc_freq”: 75748, “doc_count”: 1984, “sum_ttf”: 297568 }, “terms”: { “0”: { “term_freq”: 1, “tokens”: [ { “position”: 22, “start_offset”: 42, “end_offset”: 43 } ] }, “08”: { “term_freq”: 1, “tokens”: [ { “position”: 20, “start_offset”: 39, “end_offset”: 41 } ] }, “4”: { “term_freq”: 3, “tokens”: [ { “position”: 9, “start_offset”: 19, “end_offset”: 20 }, { “position”: 12, “start_offset”: 26, “end_offset”: 27 }, { “position”: 18, “start_offset”: 36, “end_offset”: 37 } ] }, “6”: { “term_freq”: 2, “tokens”: [ { “position”: 14, “start_offset”: 30, “end_offset”: 31 }, { “position”: 16, “start_offset”: 33, “end_offset”: 34 } ] }, “7794”: { “term_freq”: 1, “tokens”: [ { “position”: 10, “start_offset”: 21, “end_offset”: 25 } ] }, “92683”: { “term_freq”: 1, “tokens”: [ { “position”: 7, “start_offset”: 12, “end_offset”: 17 } ] }, “92683fd4a7794e4dbb6df6ed4ee08e0e.jpg”: { “term_freq”: 1, “tokens”: [ { “position”: 6, “start_offset”: 12, “end_offset”: 48 } ] }, “dbb”: { “term_freq”: 1, “tokens”: [ { “position”: 13, “start_offset”: 27, “end_offset”: 30 } ] }, “df”: { “term_freq”: 1, “tokens”: [ { “position”: 15, “start_offset”: 31, “end_offset”: 33 } ] }, “e”: { “term_freq”: 3, “tokens”: [ { “position”: 11, “start_offset”: 25, “end_offset”: 26 }, { “position”: 21, “start_offset”: 41, “end_offset”: 42 }, { “position”: 23, “start_offset”: 43, “end_offset”: 44 } ] }, “ed”: { “term_freq”: 1, “tokens”: [ { “position”: 17, “start_offset”: 34, “end_offset”: 36 } ] }, “ee”: { “term_freq”: 1, “tokens”: [ { “position”: 19, “start_offset”: 37, “end_offset”: 39 } ] }, “fd”: { “term_freq”: 1, “tokens”: [ { “position”: 8, “start_offset”: 17, “end_offset”: 19 } ] }, “jpg”: { “term_freq”: 1, “tokens”: [ { “position”: 24, “start_offset”: 45, “end_offset”: 48 } ] }, “wewe”: { “term_freq”: 1, “tokens”: [ { “position”: 0, “start_offset”: 0, “end_offset”: 4 } ] }, “华佗”: { “term_freq”: 1, “tokens”: [ { “position”: 5, “start_offset”: 9, “end_offset”: 11 } ] }, “原创”: { “term_freq”: 1, “tokens”: [ { “position”: 1, “start_offset”: 4, “end_offset”: 6 } ] }, “李”: { “term_freq”: 1, “tokens”: [ { “position”: 2, “start_offset”: 6, “end_offset”: 7 } ] }, “飞”: { “term_freq”: 1, “tokens”: [ { “position”: 4, “start_offset”: 8, “end_offset”: 9 } ] }, “鸿”: { “term_freq”: 1, “tokens”: [ { “position”: 3, “start_offset”: 7, “end_offset”: 8 } ] } } } } }

    2. 2. mapping
    3. ```json
    4. {
    5.   "cms_index": {
    6.     "mappings": {
    7.       "cms_media": {
    8.         "_all": {
    9.           "enabled": false
    10.         },
    11.         "dynamic_templates": [
    12.           {
    13.             "stringTemplate": {
    14.               "match_mapping_type": "string",
    15.               "mapping": {
    16.                 "type": "keyword"
    17.               }
    18.             }
    19.           }
    20.         ],
    21.         "properties": {
    22.           "analyzeId": {
    23.             "type": "keyword"
    24.           },
    25.           "analyzeStatus": {
    26.             "type": "integer"
    27.           },
    28.           "attachList": {
    29.             "type": "text",
    30.             "analyzer": "ik_max_word"
    31.           },
    32.           "author": {
    33.             "type": "keyword"
    34.           },
    35.           "bitrate": {
    36.             "type": "long"
    37.           },
    38.           "businessType": {
    39.             "type": "long"
    40.           },
    41.           "category": {
    42.             "type": "text",
    43.             "analyzer": "comma"
    44.           },
    45.           "content": {
    46.             "type": "text",
    47.             "analyzer": "ik_max_word"
    48.           },
    49.           "contentLength": {
    50.             "type": "integer"
    51.           },
    52.           "createTime": {
    53.             "type": "date",
    54.             "format": "yyyy-MM-dd HH:mm:ss||strict_date_optional_time||epoch_millis"
    55.           },
    56.           "creator": {
    57.             "type": "keyword"
    58.           },
    59.           "creatorId": {
    60.             "type": "keyword"
    61.           },
    62.           "departmentId": {
    63.             "type": "keyword"
    64.           },
    65.           "departmentName": {
    66.             "type": "keyword"
    67.           },
    68.           "description": {
    69.             "type": "text",
    70.             "analyzer": "ik_max_word"
    71.           },
    72.           "duration": {
    73.             "type": "long"
    74.           },
    75.           "external": {
    76.             "type": "long"
    77.           },
    78.           "fileSize": {
    79.             "type": "long"
    80.           },
    81.           "framerate": {
    82.             "type": "float"
    83.           },
    84.           "height": {
    85.             "type": "integer"
    86.           },
    87.           "id": {
    88.             "type": "keyword"
    89.           },
    90.           "intoTime": {
    91.             "type": "date",
    92.             "format": "yyyy-MM-dd HH:mm:ss||strict_date_optional_time||epoch_millis"
    93.           },
    94.           "isCategory": {
    95.             "type": "integer"
    96.           },
    97.           "labelAiList": {
    98.             "properties": {
    99.               "id": {
    100.                 "type": "keyword"
    101.               },
    102.               "name": {
    103.                 "type": "keyword"
    104.               },
    105.               "type": {
    106.                 "type": "keyword"
    107.               }
    108.             }
    109.           },
    110.           "labelAiText": {
    111.             "type": "text",
    112.             "analyzer": "ik_max_word"
    113.           },
    114.           "lesseeId": {
    115.             "type": "keyword"
    116.           },
    117.           "md5": {
    118.             "type": "keyword"
    119.           },
    120.           "name": {
    121.             "type": "text",
    122.             "analyzer": "ik_max_word"
    123.           },
    124.           "path": {
    125.             "type": "keyword"
    126.           },
    127.           "personAiText": {
    128.             "type": "text",
    129.             "analyzer": "ik_max_word"
    130.           },
    131.           "searchAll": {
    132.             "type": "text",
    133.             "analyzer": "ik_max_word"
    134.           },
    135.           "sourceId": {
    136.             "type": "keyword"
    137.           },
    138.           "sourceName": {
    139.             "type": "keyword"
    140.           },
    141.           "sourceSys": {
    142.             "type": "long"
    143.           },
    144.           "sourceUrl": {
    145.             "type": "keyword"
    146.           },
    147.           "subType": {
    148.             "type": "long"
    149.           },
    150.           "syncVersion": {
    151.             "type": "keyword"
    152.           },
    153.           "tags": {
    154.             "type": "text",
    155.             "analyzer": "ik_max_word"
    156.           },
    157.           "thirdId": {
    158.             "type": "keyword"
    159.           },
    160.           "thumbnail": {
    161.             "type": "keyword"
    162.           },
    163.           "type": {
    164.             "type": "integer"
    165.           },
    166.           "videoUrl": {
    167.             "type": "keyword"
    168.           },
    169.           "width": {
    170.             "type": "integer"
    171.           }
    172.         }
    173.       }
    174.     }
    175.   }
    176. }