It will not load the same file twice, preventing data duplication.įor the copy job preview, support on other data formats will be expanded. If it is run multiple times against the same S3 folder, it will load the data again, resulting in data duplication. The following table compares the syntax and data duplication between a regular copy statement and the new auto-copy job. You can disable “AUTO ON” in the existing copy job using the following command: If in case required, users can manually invoke COPY JOB which will do the work and ingest if any new files found. Once this is set, auto copy will no longer look for new files. In that case, either use the COPY JOB ALTER command to set AUTO to OFF or create a new COPY JOB with AUTO OFF. There might be scenarios wherein the copy job needs to be paused, meaning it needs to stop looking for new files, for example, to fix a corrupted data pipeline at the data source. GROUP BY vendorid Manually run a copy job With the existing COPY syntax, we add the JOB CREATE parameter to perform a one-time setup for automatic file ingestion. In this section, we demonstrate how to automate data loading of files from Amazon S3 into Amazon Redshift. You can refer to the SQL notebook redshift-auto-copy-preview-demo-sql-notebook.ipynb for the SQL statements used in this post. Please note that for the preview track, restore from snapshot is not supported. Virginia), US West (Oregon), Asia Pacific (Tokyo), Europe (Ireland), and Europe (Stockholm). The Amazon Redshift auto-copy support from Amazon S3 is available as a preview for provisioned clusters in the following AWS Regions: US East (Ohio), US East (N. An Amazon Redshift cluster with a maintenance track of PREVIEW_2022.To get started with auto-copy preview, you need the following prerequisites: It can be easily set up using a simple SQL statement and any JDBC or ODBC client.It keeps track of all loaded files and prevents data duplication.Existing COPY statements can be converted into copy jobs by appending the JOB CREATE parameter. ![]() ![]()
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