Example: Using AWS Assume Role Authorization with WRITE_NOS - Analytics Database - Teradata Vantage

SQL Data Manipulation Language

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Analytics Database
Teradata Vantage
Release Number
17.20
Published
June 2022
Language
English (United States)
Last Update
2024-04-05
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lifecycle
latest
Product Category
Teradata Vantage™

Assume Role gives existing AWS IAM users and service accounts temporary access to AWS resources in other accounts.

  1. Create a small sample table:
    CREATE TABLE t11 (
    c1 SMALLINT, 
    c2 INT, 
    c3 VARCHAR(10) CHARACTER SET LATIN CASESPECIFIC, 
    c4 VARCHAR(10) CHARACTER SET UNICODE CASESPECIFIC, 
    c5 DATE, 
    c6 DATE
    );
  2. Add data to the table:
    INSERT INTO t11(1, 11, 'store1', 'paper', DATE '2010-06-01', DATE '2010-07-01');
    INSERT INTO t11(2, 12, 'store1', 'pen', DATE '2010-06-01', DATE '2010-07-01');
    INSERT INTO t11(3, 13, 'store1', 'ipad', DATE '2010-06-01', DATE '2010-07-01');
  3. Create the authorization object or ask an administrator to create it:
    CREATE AUTHORIZATION S3_auth
    AS INVOKER TRUSTED
    USING
    AUTHSERVICETYPE 'ASSUME_ROLE'
    ROLENAME 'role_name'
    EXTERNALID 'external_id';

    Where:

    role_name is the Amazon Resource Name (ARN) of the role to assume. For example: arn:aws:iam::844102931058:role/STSAssumeRole_TestRole

    external_id is is the external ID that is assuming the role. For example: 3f68bc61-a455-4742-8039-8a03f0600db52.

  4. Run WRITE_NOS using the authorization object. The following example selects data from the Teradata table named t11 and writes it to external object storage at the LOCATION specified. Finally, a count is done to verify the correct amount of data was stored:
    SELECT count(*) FROM WRITE_NOS
    (ON (SELECT * FROM t11)
      USING
      LOCATION('/s3/s3.amazonaws.com/stsassumerole-testbucket/wr_test/')
      AUTHORIZATION(S3_auth)
      STOREDAS('PARQUET') ) as dt;