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Export from DigitalOcean to Kafka

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery DigitalOcean plugin allows you to sync data from DigitalOcean to any destination, including Kafka. It takes only minutes to get started.

digitalocean
Official

DigitalOcean

The CloudQuery DigitalOcean plugin pulls configuration from DigitalOcean and loads it into any supported CloudQuery destination

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.4.2

Type

Source

Platforms
Date Published

Feb 27, 2024

Price

Free

Kafka
kafka
Official

Kafka

This plugin is in preview.

This destination plugin lets you sync data from a CloudQuery source to Kafka in various formats such as CSV, JSON. Each table will be pushed to a separate topic

Publisher

cloudquery

Repositorygithub.com
Latest version

v3.3.1

Type

Destination

Platforms
Date Published

Feb 20, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Configure DigitalOcean source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  # Source spec section
  name: digitalocean
  path: cloudquery/digitalocean
  registry: cloudquery
  version: "v5.4.2"
  tables: ["*"]
  destinations: ["kafka"]
  spec:
    # required, unless env variable DIGITALOCEAN_TOKEN or DIGITALOCEAN_ACCESS_TOKEN is set
    token: "${DIGITALOCEAN_ACCESS_TOKEN}"
    # Optional parameters
    # spaces_regions: ["nyc3", "sfo3", "ams3", "sgp1", "fra1", "syd1"]
    # spaces_access_key: ""
    # spaces_access_key_id: ""
    # spaces_debug_logging: false
    # concurrency: 10000

Step 3. Configure Kafka destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "kafka"
  path: "cloudquery/kafka"
  registry: "cloudquery"
  version: "v3.3.1"
  write_mode: "append"
  spec:
    brokers: ["<broker-host>:<broker-port>"]
    format: "csv" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # sasl_username: ""
    # sasl_password: ""
    # client_id: cq-destination-kafka
    # verbose: false
    # batch_size: 1000

Step 4. Run Sync

cloudquery sync digitalocean.yml kafka.yml
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