Transaction & starts a new one, hence the overwrite happens in two transactions and is not atomic. truncates the table, but immediately commits current CASCADE - drops the table, and all views that depend on it. Fails if there are any views that depend on it. Mode ( str) – Append, overwrite or upsert.ĭrop, cascade, truncate, or delete. ![]() Parquet_infer_sampling ( float) – Random sample ratio of files that will have the metadata inspected. This is only needed when you are using temporary credentials. Iam_role ( str, optional) – AWS IAM role with the related permissions.Īws_access_key_id ( str, optional) – The access key for your AWS account.Īws_secret_access_key ( str, optional) – The secret key for your AWS account.Īws_session_token ( str, optional) – The session key for your AWS account. “credentials directly or wr.nnect() to fetch it from the Glue Catalog. s3://bucket/prefix/)Ĭon ( redshift_connector.Connection) – Use redshift_nnect() to use ” ![]() That will be spawned will be gotten from os.cpu_count(). ![]() In case of use_threads=True the number of threads Load Parquet files from S3 to a Table on Amazon Redshift (Through COPY command). copy_from_files ( path : str, con : Connection, table : str, schema : str, iam_role : str | None = None, aws_access_key_id : str | None = None, aws_secret_access_key : str | None = None, aws_session_token : str | None = None, parquet_infer_sampling : float = 1.0, mode : str = 'append', overwrite_method : str = 'drop', diststyle : str = 'AUTO', distkey : str | None = None, sortstyle : str = 'COMPOUND', sortkey : List | None = None, primary_keys : List | None = None, varchar_lengths_default : int = 256, varchar_lengths : Dict | None = None, serialize_to_json : bool = False, path_suffix : str | None = None, path_ignore_suffix : str | None = None, use_threads : bool | int = True, lock : bool = False, commit_transaction : bool = True, manifest : bool | None = False, sql_copy_extra_params : List | None = None, boto3_session : Session | None = None, s3_additional_kwargs : Dict | None = None, precombine_key : str | None = None, column_names : List | None = None ) → None ¶
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