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#ROBO 3T QUERY HOW TO#
#ROBO 3T QUERY CODE#
#ROBO 3T QUERY ISO#

The dateToString is another MongoDB date operator to convert a date object to a string according to a user-specified format. #If a time part is included, an offset from UTC can also be included as +-HH:mm, +-HHmm, +-HH or Z. 09:30:26 # An hour, minute, and second time part #A time part can also be included, separated from the date part by a space or an uppercase T.

#ROBO 3T QUERY ISO#

# An ISO 8601 string requires a date part. Please refer to Moment.js parse string document to view all supported string formats.

When creating a date from a string, Moment.js first check if the string matches the known ISO 8601 formats, Moment.js then check if the string matches the RFC 2822 Date time format before dropping to the fall back of new Date(string) if a known format is not found. NoSQLBooster for MongoDB uses Moment.js to parse date string. The date function converts a string to a MongoDB Date type.

We can use the standard SQL comparison operators: =, !=,, =, or >.

All function names are case-sensitive except for COUNT, SUM, MAX, MIN, AVG.

No $ prefix with MongoDB operator and collection field name.

1Ĭoncat( "first_name", ' ', "last_name") //Double quotes quote field name, Single quotes are for stringsĬoncat(first_name, ' ', last_name) //allow to omit double quotes Open a shell tab "Command-T" and execute the following script to get the employees collection. Insert the following demo data to MongoDB.

#ROBO 3T QUERY CODE#

Better yet, all SQL Functions provide the appropriate code snippets and mouse hover information and support code completion.įor example, the employees' collection has the following fields including number, first_name, last_name, salary, department, and hire_date.

#ROBO 3T QUERY HOW TO#

With this tutorial, you can learn and understand how to use NoSQLBooster SQL Query for MongoDB. 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.