airflow.operators.redshift_to_s3_operator

Transfers data from AWS Redshift into a S3 Bucket.

Module Contents

class airflow.operators.redshift_to_s3_operator.RedshiftToS3Transfer(schema, table, s3_bucket, s3_key, redshift_conn_id='redshift_default', aws_conn_id='aws_default', verify=None, unload_options=tuple(), autocommit=False, include_header=False, *args, **kwargs)[source]

Bases: airflow.models.BaseOperator

Executes an UNLOAD command to s3 as a CSV with headers

Parameters

  • schema (str) – reference to a specific schema in redshift database

  • table (str) – reference to a specific table in redshift database

  • s3_bucket (str) – reference to a specific S3 bucket

  • s3_key (str) – reference to a specific S3 key

  • redshift_conn_id (str) – reference to a specific redshift database

  • aws_conn_id (str) – reference to a specific S3 connection

  • verify (bool or str) –

    Whether or not to verify SSL certificates for S3 connection. By default SSL certificates are verified. You can provide the following values:

    • False: do not validate SSL certificates. SSL will still be used

      (unless use_ssl is False), but SSL certificates will not be verified.

    • path/to/cert/bundle.pem: A filename of the CA cert bundle to uses.

      You can specify this argument if you want to use a different CA cert bundle than the one used by botocore.

  • unload_options (list) – reference to a list of UNLOAD options

  • autocommit (bool) – If set to True it will automatically commit the UNLOAD statement. Otherwise it will be committed right before the redshift connection gets closed.

  • include_header (bool) – If set to True the s3 file contains the header columns.

template_fields = [][source]
template_ext = [][source]
ui_color = #ededed[source]
execute(self, context)[source]

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