Elasticsearch 简明教程
Elasticsearch - SQL Access
它是一个组件,允许在实时中针对 Elasticsearch 执行类似于 SQL 的查询。你可以将 Elasticsearch SQL 视为一个翻译器,它既了解 SQL 也了解 Elasticsearch,并且可以轻松地按比例利用 Elasticsearch 的功能,实时读取和处理数据。
Advantages of Elasticsearch SQL
-
It has native integration − 根据底层存储,每个查询根据相关节点有效执行。
-
No external parts − 不需要额外的硬件、流程、运行时或库来查询 Elasticsearch。
-
Lightweight and efficient − 它引入并公开 SQL 来允许适当的全文本搜索,并支持实时功能。
Example
PUT /schoollist/_bulk?refresh
{"index":{"_id": "CBSE"}}
{"name": "GleanDale", "Address": "JR. Court Lane", "start_date": "2011-06-02",
"student_count": 561}
{"index":{"_id": "ICSE"}}
{"name": "Top-Notch", "Address": "Gachibowli Main Road", "start_date": "1989-
05-26", "student_count": 482}
{"index":{"_id": "State Board"}}
{"name": "Sunshine", "Address": "Main Street", "start_date": "1965-06-01",
"student_count": 604}
在运行以上代码时,我们得到响应,如下所示:-
{
"took" : 277,
"errors" : false,
"items" : [
{
"index" : {
"_index" : "schoollist",
"_type" : "_doc",
"_id" : "CBSE",
"_version" : 1,
"result" : "created",
"forced_refresh" : true,
"_shards" : {
"total" : 2,
"successful" : 1,
"failed" : 0
},
"_seq_no" : 0,
"_primary_term" : 1,
"status" : 201
}
},
{
"index" : {
"_index" : "schoollist",
"_type" : "_doc",
"_id" : "ICSE",
"_version" : 1,
"result" : "created",
"forced_refresh" : true,
"_shards" : {
"total" : 2,
"successful" : 1,
"failed" : 0
},
"_seq_no" : 1,
"_primary_term" : 1,
"status" : 201
}
},
{
"index" : {
"_index" : "schoollist",
"_type" : "_doc",
"_id" : "State Board",
"_version" : 1,
"result" : "created",
"forced_refresh" : true,
"_shards" : {
"total" : 2,
"successful" : 1,
"failed" : 0
},
"_seq_no" : 2,
"_primary_term" : 1,
"status" : 201
}
}
]
}
SQL Query
以下示例显示了构造 SQL 查询的方式 −
POST /_sql?format=txt
{
"query": "SELECT * FROM schoollist WHERE start_date < '2000-01-01'"
}
在运行以上代码时,我们得到响应,如下所示:-
Address | name | start_date | student_count
--------------------+---------------+------------------------+---------------
Gachibowli Main Road|Top-Notch |1989-05-26T00:00:00.000Z|482
Main Street |Sunshine |1965-06-01T00:00:00.000Z|604
Note − 通过更改上述 SQL 查询,你可以获得不同的结果集。