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Version: 1.2.0

Connections

Connections are defined in the connections section under the root attribute application.

The following types of connections are supported:

Local File System​

The local file system connection is used to read and write files to the local file system.

application:
    connections:
    local:
        type: local

Files will be stored in the area directory under the datasets directory. Défault values for area and datasets can be set in the application section.

application:
    datasets = "{{root}}/datasets" # or set it through the SL_DATASETS environnement variable.
    area:
        pending: "pending" # Location where files of pending load are stored. May be overloaded by the ${SL_AREA_PENDING} environment variable.
        unresolved: "unresolved" # Location where files that do not match any pattern are moved. May be overloaded by the ${SL_AREA_UNRESOLVED} environment variable.
        archive: "archive" # Location where files are moved after they have been processed. May be overloaded by the ${SL_AREA_ARCHIVE} environment variable.
        ingesting: "ingesting" # Location where files are moved while they are being processed. May be overloaded by the ${SL_AREA_INGESTING} environment variable.
        accepted: "accepted" # Location where files are moved after they have been processed and accepted. May be overloaded by the ${SL_AREA_ACCEPTED} environment variable.
        rejected: "rejected" # Location where files are moved after they have been processed and rejected. May be overloaded by the ${SL_AREA_REJECTED} environment variable.
        business: "business" # Location where transform tasks store their result. May be overloaded by the ${SL_AREA_BUSINESS} environment variable.
        replay: "replay" # Location rejected records are stored in their orginial format. May be overloaded by the ${SL_AREA_REPLAY} environment variable.
        hiveDatabase: "${domain}_${area}" # Hive database name. May be overloaded by the ${SL_AREA_HIVE_DATABASE} environment variable.

Google BigQuery​

Starlake support native and spark / dataproc bigquery connections.

application:
  connections:
    bigquery:
      type: "bigquery"
      options:
        location: "us-central1" # EU or US or ...
        authType: "APPLICATION_DEFAULT"
        authScopes: "https://www.googleapis.com/auth/cloud-platform" # comma separated list of scopes
        #authType: SERVICE_ACCOUNT_JSON_KEYFILE
        #jsonKeyfile: "/Users/me/.gcloud/keys/starlake-me.json"
        #authType: "ACCESS_TOKEN"
        #gcpAccessToken: "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
  accessPolicies: # Required when applying access policies to table columns (Column Level Security)
    apply: true
    location: EU
    taxonomy: RGPD

Apache Spark / Databricks​

Spark connections are used to read and write data from Spark.

application:
  connections:
    spark:
      type: "spark"
      options:
        # any spark configuration can be set here

Snowflake​


application:
  connectionRef: {{connection}}
  connections:
    snowflake:
      type: jdbc
      options:
        url: "jdbc:snowflake://{{SNOWFLAKE_ACCOUNT}}.snowflakecomputing.com"
        driver: "net.snowflake.client.jdbc.SnowflakeDriver"
        user: {{SNOWFLAKE_USER}}
        password: {{SNOWFLAKE_PASSWORD}}
        warehouse: {{SNOWFLAKE_WAREHOUSE}}
        db: {{SNOWFLAKE_DB}}
        keep_column_case: "off"
        preActions: "alter session set TIMESTAMP_TYPE_MAPPING = 'TIMESTAMP_LTZ';ALTER SESSION SET QUOTED_IDENTIFIERS_IGNORE_CASE = true"

Amazon Redshift​


application:
  connections:
    redshift:
      options:
        url: "jdbc:redshift://account.region.redshift.amazonaws.com:5439/database",
        driver: com.amazon.redshift.Driver
        password: "{{REDSHIFT_PASSWORD}}"
        tempdir: "s3a://bucketName/data",
        tempdir_region: "eu-central-1" # required only if running from outside AWS (your laptop ...)
        aws_iam_role: "arn:aws:iam::aws_count_id:role/role_name"

Postgres​

application:
  connectionRef: "postgresql"
  connections:
    postgresql:
      type: jdbc
      options:
        url: "jdbc:postgresql://{{POSTGRES_HOST}}:{{POSTGRES_PORT}}/{{POSTGRES_DATABASE}}"
        driver: "org.postgresql.Driver"
        user: "{{DATABASE_USER}}"
        password: "{{DATABASE_PASSWORD}}"
        quoteIdentifiers: false