Export from GitLab to Microsoft SQL Server
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery GitLab plugin allows you to sync data from GitLab to any destination, including Microsoft SQL Server. It takes only minutes to get started.
GitLab
The CloudQuery GitLab plugin pulls configuration out of GitLab resources and loads it into any supported CloudQuery destination
Microsoft SQL Server
This plugin is in preview.
This destination plugin lets you sync data from a CloudQuery source to a Microsoft SQL Server compatible database. This includes both Microsoft SQL Server and Azure SQL Server.
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudquery
Step 2. Configure GitLab source plugin
You can find more information about the configuration in the plugin documentation
kind: source
# Common source-plugin configuration
spec:
name: gitlab
path: cloudquery/gitlab
registry: cloudquery
version: "v4.3.5"
tables: ["gitlab_users"]
destinations: ["mssql"]
# Gitlab specific configuration
spec:
# required
access_token: "${GITLAB_ACCESS_TOKEN}"
# optional, leave empty for GitLab SaaS
# base_url: "<INSTANCE_URL>"
Step 3. Configure Microsoft SQL Server destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: "mssql"
path: "cloudquery/mssql"
registry: "cloudquery"
version: "v4.5.4"
spec:
# Connection string in the format `server=localhost;user id=SA;password=yourStrongP@ssword;port=1433;database=cloudquery;`
connection_string: "${MSSQL_CONNECTION_STRING}"
# Optional parameters:
# auth_mode: ms
# schema: dbo
# batch_size: 1000 # 1K entries
# batch_size_bytes: 5242880 # 5 MiB
# batch_timeout: 20s
Step 4. Run Sync
cloudquery sync gitlab.yml mssql.yml