Saving and executing the Job - 7.1

Amazon Redshift

author
Talend Documentation Team
EnrichVersion
Cloud
7.1
EnrichProdName
Talend Big Data
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task
Data Governance > Third-party systems > Amazon services (Integration) > Amazon Redshift components
Data Quality and Preparation > Third-party systems > Amazon services (Integration) > Amazon Redshift components
Design and Development > Third-party systems > Amazon services (Integration) > Amazon Redshift components
EnrichPlatform
Talend Studio

Procedure

  1. Press Ctrl + S to save the Job.
  2. Execute the Job by pressing F6 or clicking Run on the Run tab.
    As shown above, the generated data is written into the local file redshift_bulk.txt, the file is uploaded on S3 with the new name person_load, and then the data is loaded from the file on S3 to the table person in Redshift and displayed on the console. After that, the data is unloaded from the table person in Redshift to two files person_unload_0000_part_00 and person_unload_0001_part_00 on S3 per slice of the Redshift cluster, and finally the unloaded files on S3 are listed and retrieved in the local folder.