Robo 3t run mongo function1/31/2023 1ĭateToString( '%Y-%m-%d', "hire_date") as hiredate The $dateToString expression has the following syntax: 1Īs SQL functions doesn't support JSON object parameter, NoSQLBooster for MongoDB converts the object param as plain parameter list. 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. # 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. 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. 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. Once downloaded, perform the setup, it is quite strightforward.With NoSQLBooster for MongoDB, you can run SQL SELECT Query against MongoDB. As a private user, you can freely have unlimited public repositories and just one private repository.įirst of all, be sure to install Docker Desktop. There is also Docker Hub, a place where everyone can share his/her own images with other people. Those are just some example scenarios, but I think you got the basic idea. In fact, as the word “container” suggests, when the image is running as a container it is securely isolated from the rest of the system. You want to share the exact status of a software, and being sure that it is exactly the same, no matter where you are running it.There is an image for everything you could ever want, just Google it (or, better, “Duck Duck Go” it). You want to test something new but you don’t want to mess up your local PC.When you have done with your tests, you can destroy it: the next time you just have to “un-freeze” the same image, and repeat that over and over and over, as much you need. Then, everytime you have to start from that exact situation, you “un-freeze” that image (technically “run it as a container”) and in a few seconds it’s ready. You could create a complex test scenario, and freeze it creating your own image.Why you should need that? Well, there are a lot of reasons: It is a place where you can instantiate everything you want, and make it live on its own. In this tutorial you will learn how to create your own instance of MongoDB using Docker, and start using it configuring correctly Robo 3T.
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