BigtableCreateTableOperator

Google

Creates the table in the Cloud Bigtable instance.

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Last Updated: Nov. 4, 2020

Access Instructions

Install the Google provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.

Parameters

instance_idstrThe ID of the Cloud Bigtable instance that will hold the new table.
table_idstrThe ID of the table to be created.
project_idstrOptional, the ID of the Google Cloud project. If set to None or missing, the default project_id from the Google Cloud connection is used.
initial_split_keyslist(Optional) list of row keys in bytes that will be used to initially split the table into several tablets.
column_familiesdict(Optional) A map columns to create. The key is the column_id str and the value is a :class:`google.cloud.bigtable.column_family.GarbageCollectionRule`No role entry for "class" in module "docutils.parsers.rst.languages.en". Trying "class" as canonical role name.Unknown interpreted text role "class".
gcp_conn_idstrThe connection ID to use to connect to Google Cloud.
impersonation_chainUnion[str, Sequence[str]]Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Documentation

Creates the table in the Cloud Bigtable instance.

For more details about creating table have a look at the reference: https://googleapis.github.io/google-cloud-python/latest/bigtable/table.html#google.cloud.bigtable.table.Table.create

See also

For more information on how to use this operator, take a look at the guide: BigtableCreateTableOperator

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