#Azure data studio localdb how to#
#Azure data studio localdb code#
#Azure data studio localdb password#

This is -v customervol:/var/opt/mssql, which will 'mount' a 'volume' to our container. Let's add one more parameter to our docker run command. What if we want to keep our data, but not the container? But if we remove the container with docker rm -f customerdb then any data is lost. Now, if we stop our database with docker stop customerdb and then restart it with docker start customerdb, the table and data in the database will be retained. Var customers = db.Query('SELECT * From Customers').ToList() Ĭonsole.WriteLine($'') Var affectedRows = db.Execute(insertSQL) Using (var db = new SqlConnection(connectionString)) Var insertSQL = 'INSERT INTO Customers (FirstName, LastName, Email) Values ('Mark', 'Heath', ' ') ' INT IDENTITY (1, 1) NOT NULL,ĬONSTRAINT PRIMARY KEY CLUSTERED ( ASC) Var createTableSQL = NOT EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = N'Customers') Var createDBSQL = NOT EXISTS(SELECT * FROM sys.databases WHERE name = 'CustomerDB')

Var connectionString = 'Server=localhost User Id=sa ' you will need Dapper and NuGet packages to run this

#Azure data studio localdb code#

Here's some example code using Dapper that can connect to our server, create a database, create a table, add a record and query it: // n.b. Our Docker SQL container is visible on localhost, so our connection string will look like this (I've not included Database=CustomerDB because we haven't created that database yet). With SQL Express, your connection strings look something like this: Server=(localdb)\MSSQLLocalDB Database=CustomerDB Trusted_Connection=True MultipleActiveResultSets=true You can stop it with docker stop customerdb or completely delete the whole thing with docker rm -f customerdb. With that done, we will have a SQL Server running locally as a container. The image we'll run is /mssql/server:2019-latest docker run -d -e 'ACCEPT_EULA=Y' -e ' ' -p 1433:1433 -name customerdb /mssql/server:2019-latest

#Azure data studio localdb password#

We'll use the docker run command, with -d to run in the background, -name to give our container a meaningful name, -p to expose port 1433, and setting two environment variables with -e to set the SA password and accept the EULA. You'll need Docker Desktop installed and be running in the Linux mode to follow these instructions.

#Azure data studio localdb how to#

Let's see how to get set up Step 1 - Running SQL Server in a Container Third, running databases as containers makes it very easy to switch out to other versions of the database by mounting different 'volumes' (we'll discuss later), or to create throwaway databases for testing where you want to discard your changes after you've finished.įourth, even if you don't plan to use containerized databases in production (I normally use Azure SQL Database), if you have a CI/CD process that runs 'integration tests' where your application is tested talking to a real database, having the ability for any Docker host to run those containers is extremely convenient as now the server running those tests only needs to have Docker installed.įifth, the containerized approach to application dependencies is extremely beneficial to microservices development, and once you've got started using it for one dependency such as a database, you'll quickly want to use it for all your dependencies such as Redis, RabbitMQ, Elasticsearch etc.

Running your database as another container solves this problem, as containers hosted on the same computer can easily communicate with each other. Second, if you are running other containers, they can't easily connect out to a SQL Express LocalDB running on your developer machine. You don't need SQL Server Express installed, and in fact, with Docker multi-stage builds and Visual Studio Code Remote Containers, you could even develop and run your whole application locally with nothing more than Docker installed. There are a number of benefits to the approach of running your databases in containers rather than directly on your developer machine.įirst, there are no prerequisites other than Docker. However, if you have Docker Desktop installed on your machine (which I highly recommend), you also have the option of running your database in a container. This saves you having to connect out to an external SQL server shared by other developers, or pay for a cloud hosted database. Quite often that's SQL Server Express with its convenient and lightweight ' LocalDB' feature. NET developers to use a local SQL database when running locally.