When using MongoDB, there’s more than one way to list the collections in a database.
Here are four ways to get a list of collections in a MongoDB database:
show collections CommandlistCollections Commanddb.getCollectionNames() Methoddb.getCollectionInfos() MethodMany update operations in MongoDB have the potential to be upserts. An upsert is a combination of an insert and an update.
It works like this: You perform an update operation based on filter criteria, and if there are any matches, only the matched documents are updated, but if there are no matches, then a new document is inserted.
When you create a database in MongoDB, your database is basically an empty container for which you can add one or more collections to.
A collection is analogous to a table in relational databases.
In relational databases, you can use CREATE TABLE to create each table that you want in the database.
But MongoDB is not a relational database, and it stores its data as documents. Each document is stored in a collection.
This article shows you how to create a collection in MongoDB.
MongoDB is a general purpose, document-based, distributed data platform built for modern application developers and for the cloud.
MongoDB is classified as a NoSQL database. It uses JSON-like documents with optional schemas.
You can use MongoDB as a cloud deployment, or as an on-premise installation.
In this tutorial, I install it as an on-premise installation using the MongoDB Community Edition on Windows.
In this article, I show you how to create a SQL Server Agent job in the Azure Data Studio GUI.
Here, I create a test job that includes one job step and an attached schedule.
When using T-SQL, you can use the sp_add_schedule stored procedure to add a SQL Server Agent schedule.
This procedure creates the schedule, but it doesn’t attach it to any jobs. To attach it to a job, you must use the sp_attach_schedule procedure.
You can also use sp_add_jobschedule to create the schedule and attach it all with the same procedure.
I wrote this post, because it may not be immediately apparent how to find the SQL Server Agent jobs in Azure Data Studio once you’ve installed the SQL Server Agent Extension.
In SSMS, the SQL Server Agent can be hard to miss, but in Azure Data Studio, it can be hard to find!
Or perhaps you’re not even aware that you need the extension, and you may be searching for jobs that simply can’t be found.
Here’s how to locate the SQL Server Agent jobs in Azure Data Studio.