Query elasticsearch using familiar SQL syntax. You can also use ES functions in SQL.
Install as plugin:
###Elasticsearch 1.4.X
./bin/plugin -u https://github.com/NLPchina/elasticsearch-sql/releases/download/1.3.3/elasticsearch-sql-1.3.3.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
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Query
SELECT * FROM bank WHERE age >30 AND gender = 'm'
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Aggregation
select COUNT(*),SUM(age),MIN(age) as m, MAX(age),AVG(age) FROM bank GROUP BY gender ORDER BY SUM(age), m DESC
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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
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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)
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range date group by day
SELECT online FROM online GROUP BY date_histogram(field='insert_time','interval'='1d')
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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')
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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()