It should be mentioned that there is a tutorial on NoSQLBooster SQL Query for MongoDB in the lower left “Samples” pane. The Equivalent MongoDB Query can be viewed in the console.log tab. The SQL query is validated and translated into a MongoDB query and executed by NoSQLBooster for MongoDB. Please note that MongoDB does not natively support SQL features. Autocomplete for keywords, MongoDB collection names, field names, and SQL functions.Provide a programming interface (mb.runSQLQuery) that can be integrated into your script.Aggregation Pipeline Operators as SQL Functions (dateToString, toUpper, split, substr.).SQL Equi JOIN and Uncorrelated SubQuery.SQL Functions (Date, String, Conversion).SQL Functions (COUNT, SUM, MAX, MIN, AVG).Access data via SQL including WHERE filters, ORDER BY, GROUP BY, HAVING, DISTINCT, LIMIT.SELECT department, SUM(salary) AS total FROM employees GROUP BY department You can query MongoDB by using old SQL which you probably already know. Instead of writing the MongoDB query which is represented as a JSON-like structure 1 Let's look at how to use the GROUP BY clause with the SUM function in SQL. See the features and SQL examples supported by the NoSQLBooster for MongoDB. SQL support includes functions, expressions, aggregation for collections with nested objects and arrays. With NoSQLBooster for MongoDB, you can run SQL SELECT Query against MongoDB.
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