airflow.providers.amazon.aws.operators.redshift_cluster

Module Contents

Classes

RedshiftCreateClusterOperator

Creates a new cluster with the specified parameters.

RedshiftCreateClusterSnapshotOperator

Creates a manual snapshot of the specified cluster. The cluster must be in the available state

RedshiftDeleteClusterSnapshotOperator

Deletes the specified manual snapshot

RedshiftResumeClusterOperator

Resume a paused AWS Redshift Cluster

RedshiftPauseClusterOperator

Pause an AWS Redshift Cluster if it has status available.

RedshiftDeleteClusterOperator

Delete an AWS Redshift cluster.
class airflow.providers.amazon.aws.operators.redshift_cluster.RedshiftCreateClusterOperator(*, cluster_identifier, node_type, master_username, master_user_password, cluster_type='multi-node', db_name='dev', number_of_nodes=1, cluster_security_groups=None, vpc_security_group_ids=None, cluster_subnet_group_name=None, availability_zone=None, preferred_maintenance_window=None, cluster_parameter_group_name=None, automated_snapshot_retention_period=1, manual_snapshot_retention_period=None, port=5439, cluster_version='1.0', allow_version_upgrade=True, publicly_accessible=True, encrypted=False, hsm_client_certificate_identifier=None, hsm_configuration_identifier=None, elastic_ip=None, tags=None, kms_key_id=None, enhanced_vpc_routing=False, additional_info=None, iam_roles=None, maintenance_track_name=None, snapshot_schedule_identifier=None, availability_zone_relocation=None, aqua_configuration_status=None, default_iam_role_arn=None, aws_conn_id='aws_default', wait_for_completion=False, max_attempt=5, poll_interval=60, **kwargs)[source]

Bases: airflow.models.BaseOperator

Creates a new cluster with the specified parameters.

See also

For more information on how to use this operator, take a look at the guide: Create an Amazon Redshift cluster

Parameters

  • cluster_identifier (str) – A unique identifier for the cluster.

  • node_type (str) – The node type to be provisioned for the cluster. Valid Values: ds2.xlarge, ds2.8xlarge, dc1.large, dc1.8xlarge, dc2.large, dc2.8xlarge, ra3.xlplus, ra3.4xlarge, and ra3.16xlarge.

  • master_username (str) – The username associated with the admin user account for the cluster that is being created.

  • master_user_password (str) – The password associated with the admin user account for the cluster that is being created.

  • cluster_type (str) – The type of the cluster single-node or multi-node. The default value is multi-node.

  • db_name (str) – The name of the first database to be created when the cluster is created.

  • number_of_nodes (int) – The number of compute nodes in the cluster. This param require when cluster_type is multi-node.

  • cluster_security_groups (list[str] | None) – A list of security groups to be associated with this cluster.

  • vpc_security_group_ids (list[str] | None) – A list of VPC security groups to be associated with the cluster.

  • cluster_subnet_group_name (str | None) – The name of a cluster subnet group to be associated with this cluster.

  • availability_zone (str | None) – The EC2 Availability Zone (AZ).

  • preferred_maintenance_window (str | None) – The time range (in UTC) during which automated cluster maintenance can occur.

  • cluster_parameter_group_name (str | None) – The name of the parameter group to be associated with this cluster.

  • automated_snapshot_retention_period (int) – The number of days that automated snapshots are retained. The default value is 1.

  • manual_snapshot_retention_period (int | None) – The default number of days to retain a manual snapshot.

  • port (int) – The port number on which the cluster accepts incoming connections. The Default value is 5439.

  • cluster_version (str) – The version of a Redshift engine software that you want to deploy on the cluster.

  • allow_version_upgrade (bool) – Whether major version upgrades can be applied during the maintenance window. The Default value is True.

  • enhanced_vpc_routing (bool) – Whether to create the cluster with enhanced VPC routing enabled Default value is False.

  • additional_info (str | None) – Reserved

  • iam_roles (list[str] | None) – A list of IAM roles that can be used by the cluster to access other AWS services.

  • maintenance_track_name (str | None) – Name of the maintenance track for the cluster.

  • snapshot_schedule_identifier (str | None) – A unique identifier for the snapshot schedule.

  • availability_zone_relocation (bool | None) – Enable relocation for a Redshift cluster between Availability Zones after the cluster is created.

  • aqua_configuration_status (str | None) – The cluster is configured to use AQUA .

  • default_iam_role_arn (str | None) – ARN for the IAM role.

  • aws_conn_id (str) – str = The Airflow connection used for AWS credentials. The default connection id is aws_default.

  • wait_for_completion (bool) – Whether wait for the cluster to be in available state

  • max_attempt (int) – The maximum number of attempts to be made. Default: 5

  • poll_interval (int) – The amount of time in seconds to wait between attempts. Default: 60

Parma publicly_accessible

Whether cluster can be accessed from a public network.

Parma encrypted

Whether data in the cluster is encrypted at rest. The default value is False.

Parma hsm_client_certificate_identifier

Name of the HSM client certificate the Amazon Redshift cluster uses to retrieve the data.

Parma hsm_configuration_identifier

Name of the HSM configuration

Parma elastic_ip

The Elastic IP (EIP) address for the cluster.

Parma tags

A list of tag instances

Parma kms_key_id

KMS key id of encryption key.

template_fields: Sequence[str] = ('cluster_identifier', 'cluster_type', 'node_type', 'number_of_nodes', 'vpc_security_group_ids')[source]
ui_color = '#eeaa11'[source]
ui_fgcolor = '#ffffff'[source]
execute(context)[source]

This is the main method to derive when creating an operator. Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.amazon.aws.operators.redshift_cluster.RedshiftCreateClusterSnapshotOperator(*, snapshot_identifier, cluster_identifier, retention_period=-1, wait_for_completion=False, poll_interval=15, max_attempt=20, aws_conn_id='aws_default', **kwargs)[source]

Bases: airflow.models.BaseOperator

Creates a manual snapshot of the specified cluster. The cluster must be in the available state

See also

For more information on how to use this operator, take a look at the guide: Create an Amazon Redshift cluster snapshot

Parameters

  • snapshot_identifier (str) – A unique identifier for the snapshot that you are requesting

  • cluster_identifier (str) – The cluster identifier for which you want a snapshot

  • retention_period (int) – The number of days that a manual snapshot is retained. If the value is -1, the manual snapshot is retained indefinitely.

  • wait_for_completion (bool) – Whether wait for the cluster snapshot to be in available state

  • poll_interval (int) – Time (in seconds) to wait between two consecutive calls to check state

  • max_attempt (int) – The maximum number of attempts to be made to check the state

  • aws_conn_id (str) – The Airflow connection used for AWS credentials. The default connection id is aws_default

template_fields: Sequence[str] = ('cluster_identifier', 'snapshot_identifier')[source]
execute(context)[source]

This is the main method to derive when creating an operator. Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

class airflow.providers.amazon.aws.operators.redshift_cluster.RedshiftDeleteClusterSnapshotOperator(*, snapshot_identifier, cluster_identifier, wait_for_completion=True, aws_conn_id='aws_default', poll_interval=10, **kwargs)[source]

Bases: airflow.models.BaseOperator

Deletes the specified manual snapshot

See also

For more information on how to use this operator, take a look at the guide: Delete an Amazon Redshift cluster snapshot

Parameters

  • snapshot_identifier (str) – A unique identifier for the snapshot that you are requesting

  • cluster_identifier (str) – The unique identifier of the cluster the snapshot was created from

  • wait_for_completion (bool) – Whether wait for cluster deletion or not The default value is True

  • aws_conn_id (str) – The Airflow connection used for AWS credentials. The default connection id is aws_default

  • poll_interval (int) – Time (in seconds) to wait between two consecutive calls to check snapshot state

template_fields: Sequence[str] = ('cluster_identifier', 'snapshot_identifier')[source]
execute(context)[source]

This is the main method to derive when creating an operator. Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

get_status()[source]
class airflow.providers.amazon.aws.operators.redshift_cluster.RedshiftResumeClusterOperator(*, cluster_identifier, aws_conn_id='aws_default', deferrable=False, poll_interval=10, **kwargs)[source]

Bases: airflow.models.BaseOperator

Resume a paused AWS Redshift Cluster

See also

For more information on how to use this operator, take a look at the guide: Resume an Amazon Redshift cluster

Parameters

  • cluster_identifier (str) – Unique identifier of the AWS Redshift cluster

  • aws_conn_id (str) – The Airflow connection used for AWS credentials. The default connection id is aws_default

  • deferrable (bool) – Run operator in deferrable mode

  • poll_interval (int) – Time (in seconds) to wait between two consecutive calls to check cluster state

template_fields: Sequence[str] = ('cluster_identifier',)[source]
ui_color = '#eeaa11'[source]
ui_fgcolor = '#ffffff'[source]
execute(context)[source]

This is the main method to derive when creating an operator. Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event=None)[source]

Callback for when the trigger fires - returns immediately. Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class airflow.providers.amazon.aws.operators.redshift_cluster.RedshiftPauseClusterOperator(*, cluster_identifier, aws_conn_id='aws_default', deferrable=False, poll_interval=10, **kwargs)[source]

Bases: airflow.models.BaseOperator

Pause an AWS Redshift Cluster if it has status available.

See also

For more information on how to use this operator, take a look at the guide: Pause an Amazon Redshift cluster

Parameters

  • cluster_identifier (str) – id of the AWS Redshift Cluster

  • aws_conn_id (str) – aws connection to use

  • deferrable (bool) – Run operator in the deferrable mode. This mode requires an additional aiobotocore>=

template_fields: Sequence[str] = ('cluster_identifier',)[source]
ui_color = '#eeaa11'[source]
ui_fgcolor = '#ffffff'[source]
execute(context)[source]

This is the main method to derive when creating an operator. Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

execute_complete(context, event=None)[source]

Callback for when the trigger fires - returns immediately. Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class airflow.providers.amazon.aws.operators.redshift_cluster.RedshiftDeleteClusterOperator(*, cluster_identifier, skip_final_cluster_snapshot=True, final_cluster_snapshot_identifier=None, wait_for_completion=True, aws_conn_id='aws_default', poll_interval=30.0, **kwargs)[source]

Bases: airflow.models.BaseOperator

Delete an AWS Redshift cluster.

See also

For more information on how to use this operator, take a look at the guide: Delete an Amazon Redshift cluster

Parameters

  • cluster_identifier (str) – unique identifier of a cluster

  • skip_final_cluster_snapshot (bool) – determines cluster snapshot creation

  • final_cluster_snapshot_identifier (str | None) – name of final cluster snapshot

  • wait_for_completion (bool) – Whether wait for cluster deletion or not The default value is True

  • aws_conn_id (str) – aws connection to use

  • poll_interval (float) – Time (in seconds) to wait between two consecutive calls to check cluster state

template_fields: Sequence[str] = ('cluster_identifier',)[source]
ui_color = '#eeaa11'[source]
ui_fgcolor = '#ffffff'[source]
execute(context)[source]

This is the main method to derive when creating an operator. Context is the same dictionary used as when rendering jinja templates.

Refer to get_template_context for more context.

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