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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
k8s
Official

Kubernetes

The K8s Source plugin for CloudQuery extracts configuration from a variety of K8s APIs

Publisher

cloudquery

Repositorygithub.com
Latest version

v6.0.12

Type

Source

Platforms
Date Published

mssql
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.

Publisher

cloudquery

Repositorygithub.com
Latest version

v4.5.5

Type

Destination

Platforms
Date Published

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
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