Forked to improve improve handling of select clause and add support for elasticsearch query string syntax
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/1.3.1/elasticsearch-sql-1.3.1.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
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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()