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Export from PostgreSQL to Databricks

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

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

postgresql
Official
Premium

PostgreSQL

The CloudQuery PostgreSQL plugin syncs your PostgreSQL database to any of the supported CloudQuery destinations

Publisher

cloudquery

Latest version

v6.2.2

Type

Source

Platforms
Date Published

databricks
Official

Databricks

Sync your data from any supported CloudQuery source into the Databricks Data Intelligence Platform.

Publisher

cloudquery

Repositorygithub.com
Latest version

v1.1.0

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

cloudquery login

Step 3. Configure PostgreSQL source plugin

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

kind: source
spec:
  name: "postgresql"
  registry: "cloudquery"
  path: "cloudquery/postgresql"
  version: "v6.2.2"
  tables: ["*"]
  destinations: ["databricks"]
  # Learn more about the configuration options at https://cql.ink/postgresql_source
  spec:
    connection_string: "${POSTGRESQL_CONNECTION_STRING}" # set the environment variable in a format like postgres://postgres:pass@localhost:5432/postgres?sslmode=disable
    # Optional parameters:
    # cdc_id: "postgresql" # Set to a unique string per source to enable Change Data Capture mode (logical replication, or CDC)
    # pgx_log_level: error
    # rows_per_record: 500

Step 4. Configure Databricks destination plugin

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

kind: destination
spec:
  name: "databricks"
  path: "cloudquery/databricks"
  registry: "cloudquery"
  version: "v1.1.0"
  write_mode: "append"
  spec:
    hostname: ${DATABRICKS_HOSTNAME} # optionally it can include protocol like https://abc.cloud.databricks.com
    http_path: ${DATABRICKS_HTTP_PATH} # HTTP path for SQL compute
    staging_path: ${DATABRICKS_STAGING_PATH} # Databricks FileStore or Unity volume path to store temporary files for staging
    auth:
      access_token: ${DATABRICKS_ACCESS_TOKEN}
    # Optional parameters
    # protocol: https
    # port: 443
    # catalog: ""
    # schema: "default"
    # migration_concurrency: 10
    # timeout: 1m
    # batch:
    #   size: 10000
    #   bytes: 5242880 # 5 MiB
    #   timeout: 20s

Step 5. Run Sync

cloudquery sync postgresql.yml databricks.yml
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