雖然網上也很多了，但為了自己看的清楚也算整理給自己看的
| 關聯式資料庫 | ElasticSearch |
| database | index |
| table | type |
| row | document |
| column | field |
| schema | mapping |
首先是對照表，對應如我使用的是mssql，則對應elasticsearch如上圖，以下圖一筆資料的資料結構來看
{
"took": 9,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 13.754099,
"hits": [
{
"_index": "nfs",
"_type": "luceneindex",
"_id": "kKlZqm0BQjPxKwc5DooX",
"_score": 13.754099,
"_source": {
"fId": "_A7AIH__.__9",
"folder": "收文",
"fTitle": "",
"fExten": "msg",
"client": "L00640",
"matter": "IT406B",
"edocid": "099999999",
"createUser": "BPE",
"createDate": "",
"isAttachment": "N",
"from": "KKO",
"tou": "BruseZhang bpe@leeandli.com [Bruse]",
"cC": "",
"bCC": "",
"content": "test123",
"PropId": 123
}
}
]
}
}
查詢的結果會回傳兩個區塊
其一為：查詢完成的資訊
took:9 -> 查詢時間為：9 毫秒
timed_out:false -> 是否超時
_shards -> 參與的分片資訊
其二為：查詢完成的結果
_index:nfs -> 資料庫名稱為：nfs
_type:luceneindex -> 資料表名稱為：luceneindex
_id:kKlZqm0BQjPxKwc5DooX -> 該筆資料id為：kKlZqm0BQjPxKwc5DooX
