Query elasticsearch using familiar SQL syntax. You can also use ES functions in SQL.

Install as plugin:

###Elasticsearch 1.6.X

./bin/plugin -u https://github.com/NLPchina/elasticsearch-sql/releases/download/1.3.4/elasticsearch-sql-1.3.4.zip --install sql

• Visit The elasticsearch-sql web front end:

http://localhost:9200/_plugin/sql/

• Simple query

http://localhost:9200/_sql?sql=select * from indexName limit 10

• Explain SQL to elasticsearch query DSL

http://localhost:9200/_sql/_explain?sql=select * from indexName limit 10

• Query

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

• Aggregation

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

• Delete

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

###Beyond sql

• Search

    SELECT address FROM bank WHERE address = matchQuery('880 Holmes Lane') ORDER BY _score DESC LIMIT 3
  

• Group by aggregation

  • range age group 20-25,25-30,30-35,35-40

      SELECT COUNT(age) FROM bank GROUP BY range(age, 20,25,30,35,40)
    

  • range date group by day

      SELECT online FROM online GROUP BY date_histogram(field='insert_time','interval'='1d')
    

  • range date group by your config

      SELECT online FROM online GROUP BY date_range(field='insert_time','format'='yyyy-MM-dd' ,'2014-08-18','2014-08-17','now-8d','now-7d','now-6d','now')
    

• Select type

    SELECT * FROM indexName/type
  

• SQL Select
• SQL Delete
• ES TopHits
• ES MISSING
• ES STATS
• SQL COUNT distinct
• SQL where
• SQL AND & OR
• SQL Order By
• SQL Like
• SQL In
• SQL Between
• SQL Aliases
• SQL Not Null
• SQL(ES) Date
• SQL avg()
• SQL count()
• SQL last()
• SQL max()
• SQL min()
• SQL sum()
• SQL Nulls
• SQL isnull()
• SQL Group By
• SQL now()