How deeply does Learn Docker in a Month of Lunches, Second Edition cover dacpac?

Defines the artifact and deployment workflow, but deliberately avoids deeper SQL Server-specific implementation details.

Dacpac

As explained in Learn Docker in a Month of Lunches, Second Edition

A DACPAC is a binary data-tier application package that contains the schema definition of a SQL Server database.

A DACPAC is a binary deployment artifact containing a SQL Server database schema. Build it from SQL scripts, then deploy it to create a database or upgrade an existing schema. section 13.4

A DACPAC supports two practical workflows:

Deploy to an empty SQL Server instance to create a clean database. section 13.4
Deploy to an existing database to upgrade its schema to the DACPAC definition. section 13.4
Package the artifact in a Docker image for disposable development and test databases or production deployment. section 13.4

Containerized database deployment

A multi-stage Docker build compiles the database project with the .NET SDK, copies NerdDinner.dacpac into a SQL Server image, and runs a PowerShell initialization script when the container starts.

How Learn Docker in a Month of Lunches, Second Edition covers it

Cover of Learn Docker in a Month of Lunches, Second Edition

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Also explained in

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100 SQL Server Mistakes and How to Avoid ThemA dacpac file is a SQL Server database deployment package containing XML definitions of database objects.

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Related concepts

deployment artifactkind of · A deployment artifact is a software output, such as a file, package, or image, prepared for distribution, installation, execution, or deployment.
SQL scriptproduced by · An SQL script is a file or command sequence containing SQL statements for defining, querying, initializing, or modifying database structures and data.
build serviceproduced by · A build service is an automated service that compiles or packages software and executes associated validation steps.
SQL Serveruses · SQL Server is Microsoft's relational database management system for storing, querying, transforming, and managing structured data.

This explainer was generated by Manning's knowledge graph from the text of Learn Docker in a Month of Lunches, Second Edition. The section links point to the parts of the book it draws on.