Demo website.

This quickie app converts SQL statements into ElasticSearch equivalent queries. Note that the converter is very much a work in progress, and as such, doesn't support great many things.

At the moment the application supports SELECT, FROM, WHERE, GROUP BY statements.
For SELECT, you can either place * or specify column names. The FROM statement works with either aliases or indexes.
The WHERE conditions support a subset of operators: =, >, >=, <, <=, IN, BETWEEN. The GROUP BY statement only supports column names. Columns in the GROUP BY must match those in SELECT.

Examples:

SELECT name, type, state, pin
FROM cities
WHERE name = 'Miami'
   AND state = 'FL'
   AND zipCodes IN (33126, 33151)
   AND averageAge BETWEEN 34 AND 65
   AND averageSalary >= 55230
   AND averageTemperature < 80 

SELECT *
FROM Planets
WHERE SpacecraftWithinKilometers < 10000

SELECT SolarSystem, Galaxy
FROM Planets
WHERE SpacecraftWithinKilometers < 10000
GROUP BY SolarSystem, Galaxy

• Inequality operator (!=)
• Sorting
• Joins (because ElasticSearch doesn't support them)
• Common SQL functions like GetDate, DateDiff, Count(*), etc are not supported yet

See the "What doesn't work yet" section