Elasticsearch-sql 用SQL查詢Elasticsearch

Elasticsearch的查詢語言(DSL)真是很差寫,恰恰查詢的功能千奇百怪,filter/query/match/agg/geo各類各樣,無論你是經過封裝JSON仍是經過python/java的api進行封裝,都很是不方便。java

最近發現了一個插件,Elasticsearch-SQL能夠用sql查詢Elasticsearch,感受這個輪子造的真是好。python

Elasticsearch-sql的項目地址:https://github.com/NLPchina/elasticsearch-sqlgit

一、簡介github

Elasticsearch-sql實現的功能:web

1)插件式的安裝sql

2)SQL查詢編程

3)超越SQL以外的查詢json

4)對JDBC方式的支持api

二、插件式的安裝curl

安裝方法和elasticsearch-head的安裝方法相似:

咱們使用的es版本是2.3.3,若是你用的是不一樣的版本,能夠在https://github.com/NLPchina/elasticsearch-sql找到支持。

$ cd ~/elasticsearch-2.3.3 $./bin/plugin install https://github.com/NLPchina/elasticsearch-sql/releases/download/2.3.3.0/elasticsearch-sql-2.3.3.0.zip

若是成功,命令行打印以下東東: 複製代碼

[bigdata-dw@bigdata-arch-client10 es2.1.1]$ ./bin/plugin install https://github.com/NLPchina/elasticsearch-sql/releases/download/2.3.3.0/elasticsearch-sql-2.3.3.0.zip -> Installing from https://github.com/NLPchina/elasticsearch-sql/releases/download/2.3.3.0/elasticsearch-sql-2.3.3.0.zip... Trying https://github.com/NLPchina/elasticsearch-sql/releases/download/2.3.3.0/elasticsearch-sql-2.3.3.0.zip ... Downloading .................................................................................................................................................................................................................................................................................................................................................................................................................................................................DONE Verifying https://github.com/NLPchina/elasticsearch-sql/releases/download/2.3.3.0/elasticsearch-sql-2.3.3.0.zip checksums if available ... NOTE: Unable to verify checksum for downloaded plugin (unable to find .sha1 or .md5 file to verify) Installed sql into /home/bigdata-dw/es2.1.1/plugins/sql

複製代碼

三、SQL查詢

安裝成功之後咱們就能夠經過sql查詢ES了。

es-sql還提供了web頁面,訪問方式是http://10.93.18.34:9200/_plugin/sql/(若是你使用head,那麼你的head訪問應該是http://10.93.18.34:9200/_plugin/head/)

這裏的ip和port是你安裝es的主機和http端口。

訪問到的頁面是這樣的

那麼你如今有兩種方式能夠執行你的SQL:

1)在搜索框裏直接輸入你的sql了。(個人版本行尾不要寫「;」不然會解析不了SQL)

2)經過http請求如

curl -XPOST http://10.93.18.34:8049/_sql -d 'SELECT * FROM audit where dDelay=-2053867461'

你會收到一個json格式的返回

{"took":2,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":1,"max_score":12.549262,"hits":[{"_index":"audit","_type":"kafka","_id":"AVzzK-h_V9seINxbZ2Ox","_score":12.549262,"_source":{"timestamp":"1498726500000","dCount":680008,"dDelay":-2053867461,"cDelay":0,"clanName":"DJ_elk_common","checkTime":1498728360063,"cCount":0,"pCount":680008,"topicName":"DJ_elk_common_clean","pDelay":370356423}}]}}

下面咱們簡單說4種類型的sql的書寫方式:

1)query

SELECT * FROM bank WHERE age >30 AND gender = 'm'

2)aggregation

select COUNT(*),SUM(age),MIN(age) as m, MAX(age),AVG(age) FROM bank GROUP BY gender ORDER BY SUM(age), m DESC

3)delete

DELETE FROM bank WHERE age >30 AND gender = 'm'

4)geo

SELECT * FROM locations WHERE GEO_BOUNDING_BOX(fieldname,100.0,1.0,101,0.0)

5)須要指定index+type

SELECT * FROM indexName/type

6)如何指定路由

select /*! ROUTINGS(salary) */ sum(count) from index where type="salary"

四、對JDBC的支持

上述查詢方式無論是直接在web上輸入sql仍是經過http請求。elasticsearch-sql還支持經過jdbc進行編程。

這個尚未研究,抽空研究一下再回來。

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