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commands/export-database.md
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commands/export-database.md
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---
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description: Export Azure SQL/PostgreSQL/MySQL databases for local Docker containers
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---
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## 🚨 CRITICAL GUIDELINES
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### Windows File Path Requirements
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**MANDATORY: Always Use Backslashes on Windows for File Paths**
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When using Edit or Write tools on Windows, you MUST use backslashes (`\`) in file paths, NOT forward slashes (`/`).
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**Examples:**
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- ❌ WRONG: `D:/repos/project/file.tsx`
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- ✅ CORRECT: `D:\repos\project\file.tsx`
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This applies to:
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- Edit tool file_path parameter
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- Write tool file_path parameter
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- All file operations on Windows systems
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### Documentation Guidelines
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**NEVER create new documentation files unless explicitly requested by the user.**
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- **Priority**: Update existing README.md files rather than creating new documentation
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- **Repository cleanliness**: Keep repository root clean - only README.md unless user requests otherwise
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- **Style**: Documentation should be concise, direct, and professional - avoid AI-generated tone
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- **User preference**: Only create additional .md files when user specifically asks for documentation
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---
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# Export Azure Databases to Docker
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## Purpose
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Export databases from Azure (SQL Database, PostgreSQL, MySQL) and import them into local Docker containers for development.
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## Prerequisites
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**Required tools:**
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- Azure CLI (`az`) installed and authenticated
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- Docker Desktop 4.40+ with Compose v2.42+
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- Database-specific CLI tools:
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- SQL Server: `sqlcmd` (mssql-tools18)
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- PostgreSQL: `psql`, `pg_dump`
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- MySQL: `mysql`, `mysqldump`
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**Azure access:**
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- Read permissions on databases
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- Network access (firewall rules configured)
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- Valid credentials
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## Step 1: Configure Azure Firewall Rules
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**Add your IP to Azure SQL firewall:**
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```bash
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# Get your public IP
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MY_IP=$(curl -s ifconfig.me)
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# Add firewall rule (SQL Server)
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az sql server firewall-rule create \
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--resource-group <resource-group> \
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--server <server-name> \
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--name AllowMyIP \
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--start-ip-address $MY_IP \
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--end-ip-address $MY_IP
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# PostgreSQL
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az postgres flexible-server firewall-rule create \
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--resource-group <resource-group> \
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--name <server-name> \
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--rule-name AllowMyIP \
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--start-ip-address $MY_IP \
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--end-ip-address $MY_IP
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# MySQL
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az mysql flexible-server firewall-rule create \
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--resource-group <resource-group> \
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--name <server-name> \
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--rule-name AllowMyIP \
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--start-ip-address $MY_IP
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```
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## Step 2: Get Connection Information
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**Azure SQL Database:**
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```bash
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# Get connection string
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az sql db show-connection-string \
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--client sqlcmd \
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--name <database-name> \
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--server <server-name>
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# Output format:
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# sqlcmd -S <server-name>.database.windows.net -d <database-name> -U <username> -P <password> -N -l 30
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```
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**PostgreSQL:**
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```bash
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# Get server details
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az postgres flexible-server show \
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--resource-group <resource-group> \
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--name <server-name> \
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--query "{fqdn:fullyQualifiedDomainName, version:version}" \
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--output table
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# Connection string format:
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# postgresql://<username>:<password>@<server-name>.postgres.database.azure.com:5432/<database-name>?sslmode=require
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```
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**MySQL:**
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```bash
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# Get server details
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az mysql flexible-server show \
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--resource-group <resource-group> \
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--name <server-name> \
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--query "{fqdn:fullyQualifiedDomainName, version:version}" \
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--output table
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# Connection string format:
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# mysql://<username>:<password>@<server-name>.mysql.database.azure.com:3306/<database-name>?ssl-mode=REQUIRED
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```
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## Step 3: Export Database
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### Azure SQL Database
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**Option 1: Using Azure CLI (BACPAC):**
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```bash
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# Export to Azure Storage
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az sql db export \
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--resource-group <resource-group> \
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--server <server-name> \
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--name <database-name> \
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--admin-user <username> \
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--admin-password <password> \
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--storage-key-type StorageAccessKey \
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--storage-key <storage-key> \
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--storage-uri https://<storage-account>.blob.core.windows.net/<container>/<database-name>.bacpac
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# Download BACPAC file
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az storage blob download \
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--account-name <storage-account> \
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--container-name <container> \
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--name <database-name>.bacpac \
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--file ./<database-name>.bacpac
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```
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**Option 2: Using sqlcmd (SQL script):**
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```bash
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# Install mssql-tools18 if needed
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# Windows: winget install Microsoft.SqlCmd
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# Linux: https://learn.microsoft.com/en-us/sql/linux/sql-server-linux-setup-tools
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# Generate schema + data script
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sqlcmd -S <server-name>.database.windows.net \
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-d <database-name> \
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-U <username> \
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-P <password> \
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-C \
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-Q "SELECT * FROM INFORMATION_SCHEMA.TABLES" \
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-o schema-info.txt
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# For full export, use SQL Server Management Studio or Azure Data Studio
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# Export wizard: Tasks → Generate Scripts → Script entire database
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```
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**Option 3: Using SqlPackage (recommended for large databases):**
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```bash
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# Install SqlPackage: https://learn.microsoft.com/en-us/sql/tools/sqlpackage/sqlpackage-download
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# Export as BACPAC
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sqlpackage /Action:Export \
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/SourceServerName:<server-name>.database.windows.net \
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/SourceDatabaseName:<database-name> \
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/SourceUser:<username> \
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/SourcePassword:<password> \
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/SourceTrustServerCertificate:True \
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/TargetFile:./<database-name>.bacpac
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# Or export as DACPAC (schema only)
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sqlpackage /Action:Extract \
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/SourceServerName:<server-name>.database.windows.net \
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/SourceDatabaseName:<database-name> \
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/SourceUser:<username> \
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/SourcePassword:<password> \
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/SourceTrustServerCertificate:True \
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/TargetFile:./<database-name>.dacpac
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```
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### PostgreSQL
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**Using pg_dump:**
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```bash
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# Export entire database (schema + data)
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pg_dump -h <server-name>.postgres.database.azure.com \
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-U <username> \
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-d <database-name> \
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-F c \
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-f <database-name>.dump
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# Or as SQL script
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pg_dump -h <server-name>.postgres.database.azure.com \
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-U <username> \
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-d <database-name> \
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--clean \
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--if-exists \
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-f <database-name>.sql
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# Schema only
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pg_dump -h <server-name>.postgres.database.azure.com \
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-U <username> \
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-d <database-name> \
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--schema-only \
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-f <database-name>-schema.sql
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# Data only
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pg_dump -h <server-name>.postgres.database.azure.com \
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-U <username> \
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-d <database-name> \
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--data-only \
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-f <database-name>-data.sql
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```
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### MySQL
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**Using mysqldump:**
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```bash
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# Export entire database
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mysqldump -h <server-name>.mysql.database.azure.com \
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-u <username> \
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-p<password> \
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--ssl-mode=REQUIRED \
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--databases <database-name> \
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--single-transaction \
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--routines \
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--triggers \
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> <database-name>.sql
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# Schema only
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mysqldump -h <server-name>.mysql.database.azure.com \
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-u <username> \
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-p<password> \
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--ssl-mode=REQUIRED \
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--no-data \
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--databases <database-name> \
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> <database-name>-schema.sql
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# Data only
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mysqldump -h <server-name>.mysql.database.azure.com \
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-u <username> \
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-p<password> \
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--ssl-mode=REQUIRED \
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--no-create-info \
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--databases <database-name> \
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> <database-name>-data.sql
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```
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## Step 4: Prepare Local Docker Containers
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Ensure Docker Compose is configured with database services.
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**SQL Server container:**
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```yaml
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services:
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sqlserver:
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image: mcr.microsoft.com/mssql/server:2025-latest
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environment:
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- ACCEPT_EULA=Y
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- MSSQL_PID=Developer
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- MSSQL_SA_PASSWORD=YourStrong!Passw0rd
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ports:
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- "1433:1433"
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volumes:
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- sqlserver-data:/var/opt/mssql
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- ./init:/docker-entrypoint-initdb.d
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healthcheck:
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test: ["CMD-SHELL", "/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P $$MSSQL_SA_PASSWORD -Q 'SELECT 1' -C || exit 1"]
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interval: 10s
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timeout: 3s
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retries: 3
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```
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**PostgreSQL container:**
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```yaml
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services:
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postgres:
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image: postgres:16-alpine
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environment:
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- POSTGRES_USER=postgres
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- POSTGRES_PASSWORD=postgres123
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- POSTGRES_DB=myapp
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ports:
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- "5432:5432"
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volumes:
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- postgres-data:/var/lib/postgresql/data
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- ./init:/docker-entrypoint-initdb.d
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U postgres"]
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interval: 10s
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timeout: 3s
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retries: 3
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```
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**MySQL container:**
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```yaml
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services:
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mysql:
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image: mysql:8.4
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environment:
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- MYSQL_ROOT_PASSWORD=mysql123
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- MYSQL_DATABASE=myapp
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ports:
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- "3306:3306"
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volumes:
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- mysql-data:/var/lib/mysql
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- ./init:/docker-entrypoint-initdb.d
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healthcheck:
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test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "root", "-p$$MYSQL_ROOT_PASSWORD"]
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interval: 10s
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timeout: 3s
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retries: 3
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```
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## Step 5: Start Docker Containers
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```bash
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# Start database containers
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docker compose up -d sqlserver postgres mysql
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# Wait for health checks to pass
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docker compose ps
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# Check logs
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docker compose logs sqlserver
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```
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## Step 6: Import Data into Docker Containers
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### SQL Server
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**Using sqlcmd:**
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```bash
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# Import SQL script
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sqlcmd -S localhost,1433 \
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-U sa \
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-P YourStrong!Passw0rd \
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-C \
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-i <database-name>.sql
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# Or execute via docker exec
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docker compose exec sqlserver /opt/mssql-tools18/bin/sqlcmd \
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-S localhost \
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-U sa \
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-P YourStrong!Passw0rd \
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-C \
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-i /tmp/<database-name>.sql
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```
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**Using SqlPackage (BACPAC):**
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```bash
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# Import BACPAC
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sqlpackage /Action:Import \
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/SourceFile:./<database-name>.bacpac \
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/TargetServerName:localhost \
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/TargetDatabaseName:<database-name> \
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/TargetUser:sa \
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/TargetPassword:YourStrong!Passw0rd \
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/TargetTrustServerCertificate:True
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# Or via docker exec
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docker cp <database-name>.bacpac sqlserver:/tmp/
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docker compose exec sqlserver /opt/sqlpackage/sqlpackage \
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/Action:Import \
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/SourceFile:/tmp/<database-name>.bacpac \
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/TargetServerName:localhost \
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/TargetDatabaseName:<database-name> \
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/TargetUser:sa \
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/TargetPassword:YourStrong!Passw0rd \
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/TargetTrustServerCertificate:True
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```
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|
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### PostgreSQL
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|
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**Using psql:**
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```bash
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# Import SQL script
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psql -h localhost \
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-U postgres \
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-d myapp \
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-f <database-name>.sql
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# Or with custom-format dump
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pg_restore -h localhost \
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-U postgres \
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-d myapp \
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-v \
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<database-name>.dump
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# Via docker exec
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docker cp <database-name>.sql postgres:/tmp/
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docker compose exec postgres psql \
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-U postgres \
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-d myapp \
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-f /tmp/<database-name>.sql
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```
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|
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### MySQL
|
||||
|
||||
**Using mysql:**
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```bash
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# Import SQL script
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mysql -h localhost \
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-u root \
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-pmysql123 \
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< <database-name>.sql
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|
||||
# Via docker exec
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docker cp <database-name>.sql mysql:/tmp/
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docker compose exec mysql mysql \
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-u root \
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-pmysql123 \
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< /tmp/<database-name>.sql
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```
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||||
## Step 7: Verify Import
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**SQL Server:**
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```bash
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sqlcmd -S localhost,1433 -U sa -P YourStrong!Passw0rd -C -Q "SELECT name FROM sys.databases"
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sqlcmd -S localhost,1433 -U sa -P YourStrong!Passw0rd -C -Q "USE <database-name>; SELECT COUNT(*) FROM INFORMATION_SCHEMA.TABLES"
|
||||
```
|
||||
|
||||
**PostgreSQL:**
|
||||
```bash
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docker compose exec postgres psql -U postgres -d myapp -c "\dt"
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||||
docker compose exec postgres psql -U postgres -d myapp -c "SELECT COUNT(*) FROM information_schema.tables WHERE table_schema = 'public'"
|
||||
```
|
||||
|
||||
**MySQL:**
|
||||
```bash
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||||
docker compose exec mysql mysql -u root -pmysql123 -e "SHOW DATABASES"
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||||
docker compose exec mysql mysql -u root -pmysql123 myapp -e "SHOW TABLES"
|
||||
```
|
||||
|
||||
## Step 8: Automate with Init Scripts
|
||||
|
||||
Place SQL files in `./init/` directory for automatic import on container startup.
|
||||
|
||||
**SQL Server init script (init/01-create-database.sql):**
|
||||
```sql
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||||
-- Wait for SQL Server to be ready
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||||
WAITFOR DELAY '00:00:10';
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||||
GO
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||||
|
||||
-- Create database if not exists
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||||
IF NOT EXISTS (SELECT * FROM sys.databases WHERE name = 'MyApp')
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BEGIN
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CREATE DATABASE MyApp;
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END
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||||
GO
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||||
|
||||
USE MyApp;
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||||
GO
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||||
|
||||
-- Your schema and data here
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||||
CREATE TABLE Users (
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Id INT PRIMARY KEY IDENTITY(1,1),
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Username NVARCHAR(100) NOT NULL,
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Email NVARCHAR(255) NOT NULL
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||||
);
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||||
GO
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||||
```
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||||
|
||||
**PostgreSQL init script (init/01-init.sql):**
|
||||
```sql
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||||
-- Runs automatically on first container start
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||||
CREATE TABLE IF NOT EXISTS users (
|
||||
id SERIAL PRIMARY KEY,
|
||||
username VARCHAR(100) NOT NULL,
|
||||
email VARCHAR(255) NOT NULL
|
||||
);
|
||||
|
||||
INSERT INTO users (username, email) VALUES
|
||||
('admin', 'admin@example.com'),
|
||||
('user', 'user@example.com');
|
||||
```
|
||||
|
||||
**MySQL init script (init/01-init.sql):**
|
||||
```sql
|
||||
-- Runs automatically on first container start
|
||||
CREATE TABLE IF NOT EXISTS users (
|
||||
id INT AUTO_INCREMENT PRIMARY KEY,
|
||||
username VARCHAR(100) NOT NULL,
|
||||
email VARCHAR(255) NOT NULL
|
||||
);
|
||||
|
||||
INSERT INTO users (username, email) VALUES
|
||||
('admin', 'admin@example.com'),
|
||||
('user', 'user@example.com');
|
||||
```
|
||||
|
||||
## Step 9: Handle Large Databases
|
||||
|
||||
For databases > 10GB:
|
||||
|
||||
1. **Use compression:**
|
||||
```bash
|
||||
pg_dump -h <server> -U <user> -d <db> -F c -Z 9 -f <db>.dump.gz
|
||||
```
|
||||
|
||||
2. **Export schema separately:**
|
||||
```bash
|
||||
pg_dump -h <server> -U <user> -d <db> --schema-only -f schema.sql
|
||||
```
|
||||
|
||||
3. **Export data in chunks:**
|
||||
```bash
|
||||
pg_dump -h <server> -U <user> -d <db> -t table1 --data-only -f table1.sql
|
||||
pg_dump -h <server> -U <user> -d <db> -t table2 --data-only -f table2.sql
|
||||
```
|
||||
|
||||
4. **Use parallel export (PostgreSQL):**
|
||||
```bash
|
||||
pg_dump -h <server> -U <user> -d <db> -F d -j 4 -f ./dump_directory
|
||||
```
|
||||
|
||||
5. **Consider subset of data for development:**
|
||||
```sql
|
||||
-- Export last 6 months only
|
||||
pg_dump -h <server> -U <user> -d <db> \
|
||||
-t table1 \
|
||||
--where="created_at > NOW() - INTERVAL '6 months'" \
|
||||
-f subset.sql
|
||||
```
|
||||
|
||||
## Step 10: Clean Up Azure Resources
|
||||
|
||||
Remove firewall rules after export:
|
||||
|
||||
```bash
|
||||
# SQL Server
|
||||
az sql server firewall-rule delete \
|
||||
--resource-group <resource-group> \
|
||||
--server <server-name> \
|
||||
--name AllowMyIP
|
||||
|
||||
# PostgreSQL
|
||||
az postgres flexible-server firewall-rule delete \
|
||||
--resource-group <resource-group> \
|
||||
--name <server-name> \
|
||||
--rule-name AllowMyIP
|
||||
|
||||
# MySQL
|
||||
az mysql flexible-server firewall-rule delete \
|
||||
--resource-group <resource-group> \
|
||||
--name <server-name> \
|
||||
--rule-name AllowMyIP
|
||||
```
|
||||
|
||||
## Common Issues and Solutions
|
||||
|
||||
**Connection timeout:**
|
||||
- Verify firewall rules include your IP
|
||||
- Check network connectivity to Azure
|
||||
- Ensure NSG rules allow database traffic
|
||||
|
||||
**Authentication failed:**
|
||||
- Verify username format (PostgreSQL/MySQL require `user@server-name`)
|
||||
- Check password for special characters (escape in shell)
|
||||
- Ensure Azure AD authentication is not required
|
||||
|
||||
**BACPAC import fails:**
|
||||
- Check SQL Server version compatibility
|
||||
- Ensure sufficient disk space in Docker volume
|
||||
- Review error messages for missing dependencies
|
||||
|
||||
**Large file transfer fails:**
|
||||
- Use compression
|
||||
- Split into multiple files
|
||||
- Consider Azure Data Factory for large datasets
|
||||
|
||||
**Schema compatibility issues:**
|
||||
- Azure SQL → SQL Server 2025: Generally compatible
|
||||
- Check for Azure-specific features (elastic pools, etc.)
|
||||
- Test import in non-production environment first
|
||||
|
||||
## Best Practices
|
||||
|
||||
1. **Use separate init scripts for schema and data**
|
||||
2. **Version control schema scripts**
|
||||
3. **Exclude sensitive data from exports**
|
||||
4. **Test import process before full migration**
|
||||
5. **Document any manual adjustments needed**
|
||||
6. **Use environment variables for credentials**
|
||||
7. **Automate with CI/CD pipelines**
|
||||
8. **Keep export files secure (gitignore)**
|
||||
9. **Regularly refresh local data from Azure**
|
||||
10. **Consider using sample data for local development**
|
||||
|
||||
## Automation Script Example
|
||||
|
||||
Create `scripts/export-and-import.sh`:
|
||||
|
||||
```bash
|
||||
#!/bin/bash
|
||||
set -euo pipefail
|
||||
|
||||
# Configuration
|
||||
AZURE_SERVER="myserver.database.windows.net"
|
||||
AZURE_DB="myapp"
|
||||
AZURE_USER="admin"
|
||||
AZURE_PASS="${AZURE_SQL_PASSWORD}"
|
||||
|
||||
echo "Exporting from Azure..."
|
||||
pg_dump -h "$AZURE_SERVER" -U "$AZURE_USER" -d "$AZURE_DB" -F c -f ./dump.sql
|
||||
|
||||
echo "Starting Docker container..."
|
||||
docker compose up -d postgres
|
||||
sleep 10
|
||||
|
||||
echo "Importing to Docker..."
|
||||
docker cp ./dump.sql postgres:/tmp/
|
||||
docker compose exec -T postgres pg_restore -U postgres -d myapp -v /tmp/dump.sql
|
||||
|
||||
echo "Verifying import..."
|
||||
docker compose exec -T postgres psql -U postgres -d myapp -c "\dt"
|
||||
|
||||
echo "Done! Database ready for local development."
|
||||
```
|
||||
|
||||
## Output Deliverables
|
||||
|
||||
Provide:
|
||||
1. Database export files (.sql, .bacpac, .dump)
|
||||
2. Import scripts for Docker containers
|
||||
3. Init directory structure for auto-loading
|
||||
4. Verification queries
|
||||
5. Documentation of any schema changes needed
|
||||
6. Connection string examples for local development
|
||||
|
||||
## Next Steps
|
||||
|
||||
After importing databases:
|
||||
1. Update application connection strings
|
||||
2. Test application against local databases
|
||||
3. Verify all tables and data imported correctly
|
||||
4. Document any Azure-specific features not available locally
|
||||
5. Set up regular refresh process from Azure
|
||||
Reference in New Issue
Block a user