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Export from Kubernetes 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 Kubernetes plugin allows you to sync data from Kubernetes to any destination, including Microsoft SQL Server. It takes only minutes to get started.
Kubernetes
v6.0.12
Official
Kubernetes
The K8s Source plugin for CloudQuery extracts configuration from a variety of K8s APIs
Microsoft SQL Server
v4.5.5
Official
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 Kubernetes source plugin
You can find more information about the configuration in the plugin documentation
kind: source
spec:
# Source spec section
name: k8s
path: cloudquery/k8s
registry: cloudquery
version: "v6.0.12"
tables: ["*"]
destinations: ["mssql"]
spec:
contexts: ["context"]
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: "v4.5.5"
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 k8s.yml mssql.yml