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Export from Square to Kafka

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

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

Square
square
Official

Square

This plugin is in preview.

The CloudQuery Square plugin pulls data from Square and loads it into any supported CloudQuery destination

Publisher

cloudquery

Repositorygithub.com
Latest version

v1.3.0

Type

Source

Platforms
Date Published

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

v3.3.9

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Configure Square source plugin

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

kind: source
# Common source-plugin configuration
spec:
  name: square
  registry: docker
  path: docker.cloudquery.io/cloudquery/source-square:v1.3.0
  tables: ["*"]
  destinations: ["kafka"]
  # Square-specific configuration
  spec:
    # required
    access_token: "${SQUARE_ACCESS_TOKEN}"
    # required
    environment: "sandbox" # sandbox or production
    # optional, default: 100
    # concurrency: 100
    # optional, default: 10000
    # queue_size: 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: "v3.3.9"
  write_mode: "append"
  spec:
    # required - list of brokers to connect to
    brokers: ["<broker-host>:<broker-port>"]
    # optional - if connecting via SASL/PLAIN, the username and password to use. If not set, no authentication will be used.
    sasl_username: "${KAFKA_SASL_USERNAME}"
    sasl_password: "${KAFKA_SASL_PASSWORD}"
    format: "json" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

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

Step 4. Run Sync

cloudquery sync square.yml kafka.yml
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